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21055
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919
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2026-05-11T17:05:24.355214+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519124355_m2.jpg...
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Code
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Visual Studio Code
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True
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NULL
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monitor_2
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NULL
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NULL
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NULL
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NULL
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
No Folder Opened Section
NO FOLDER OPENED
NO FOLDER OPENED
Connected to remote.
Open Folder
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
Open Chat
⌃
⌘
I
Show All Commands
⇧
⌘
P
Open Recent
⌃
R
Open File or Folder
⌘
O
New Untitled Text File
⌘
N
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Sign In
Sign In
Info: Downloading VS Code Server...
Open Folder
/volume1/screenpipe/
7 Results
OK
Show Local
..
..
.git
.git
#recycle
#recycle
app
app
data
data
logs
logs
pipes
pipes...
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Local","depth":11,"bounds":{"left":0.57081115,"top":0.049481247,"width":0.027260639,"height":0.0207502},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"..","depth":14,"bounds":{"left":0.40259308,"top":0.075019956,"width":0.19547872,"height":0.017557861},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"..","depth":19,"bounds":{"left":0.40625,"top":0.07741421,"width":0.0026595744,"height":0.012769354},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.40625,"top":0.07821229,"width":0.0013297872,"height":0.011971269}},{"char_start":1,"char_count":1,"bounds":{"left":0.40757978,"top":0.07821229,"width":0.0013297872,"height":0.011971269}}],"role_description":"text"},{"role":"AXStaticText","text":".git","depth":14,"bounds":{"left":0.40259308,"top":0.092577815,"width":0.19547872,"height":0.017557861},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":".git","depth":19,"bounds":{"left":0.40625,"top":0.09497207,"width":0.0066489363,"height":0.012769354},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.40625,"top":0.09577015,"width":0.0013297872,"height":0.011971269}},{"char_start":1,"char_count":3,"bounds":{"left":0.40757978,"top":0.09577015,"width":0.004986702,"height":0.011971269}}],"role_description":"text"},{"role":"AXStaticText","text":"#recycle","depth":14,"bounds":{"left":0.40259308,"top":0.110135674,"width":0.19547872,"height":0.017557861},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"#recycle","depth":19,"bounds":{"left":0.40625,"top":0.112529926,"width":0.017287234,"height":0.012769354},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.40625,"top":0.11332801,"width":0.0026595744,"height":0.011971269}},{"char_start":1,"char_count":7,"bounds":{"left":0.4089096,"top":0.11332801,"width":0.01462766,"height":0.011971269}}],"role_description":"text"},{"role":"AXStaticText","text":"app","depth":14,"bounds":{"left":0.40259308,"top":0.12769353,"width":0.19547872,"height":0.017557861},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"app","depth":19,"bounds":{"left":0.40625,"top":0.1300878,"width":0.0076462766,"height":0.012769354},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.40625,"top":0.13088587,"width":0.0023271276,"height":0.011971269}},{"char_start":1,"char_count":2,"bounds":{"left":0.4085771,"top":0.13088587,"width":0.005319149,"height":0.011971269}}],"role_description":"text"},{"role":"AXStaticText","text":"data","depth":14,"bounds":{"left":0.40259308,"top":0.1452514,"width":0.19547872,"height":0.017557861},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"data","depth":19,"bounds":{"left":0.40625,"top":0.14764565,"width":0.008976064,"height":0.012769354},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.40625,"top":0.14844373,"width":0.0026595744,"height":0.011971269}},{"char_start":1,"char_count":3,"bounds":{"left":0.4089096,"top":0.14844373,"width":0.0063164895,"height":0.011971269}}],"role_description":"text"},{"role":"AXStaticText","text":"logs","depth":14,"bounds":{"left":0.40259308,"top":0.16280925,"width":0.19547872,"height":0.017557861},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"logs","depth":19,"bounds":{"left":0.40625,"top":0.16520351,"width":0.008643617,"height":0.012769354},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.40625,"top":0.1660016,"width":0.0009973404,"height":0.011971269}},{"char_start":1,"char_count":3,"bounds":{"left":0.40724733,"top":0.1660016,"width":0.0076462766,"height":0.011971269}}],"role_description":"text"},{"role":"AXStaticText","text":"pipes","depth":14,"bounds":{"left":0.40259308,"top":0.18036711,"width":0.19547872,"height":0.017557861},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"pipes","depth":19,"bounds":{"left":0.40625,"top":0.18276137,"width":0.010970744,"height":0.012769354},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.40625,"top":0.18355946,"width":0.0026595744,"height":0.011971269}},{"char_start":1,"char_count":4,"bounds":{"left":0.4089096,"top":0.18355946,"width":0.00831117,"height":0.011971269}}],"role_description":"text"}]...
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Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G)
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
No Folder Opened Section
NO FOLDER OPENED
NO FOLDER OPENED
Connected to remote.
Open Folder
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
Open Chat
⌃
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I
Show All Commands
⇧
⌘
P
Open Recent
⌃
R
Open File or Folder
⌘
O
New Untitled Text File
⌘
N
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports
PORTS
remote SSH: nas
SSH: nas
No Problems
0
0
No Ports Forwarded
0
Notifications
Sign In
Sign In
Info: Downloading VS Code Server...
Open Folder
/volume1/screenpipe/
7 Results
OK
Show Local
..
..
.git
.git
#recycle
#recycle
app
app
data
data
logs
logs
pipes
pipes...
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selectionViewlerminalWindowmelp100% Explorer (⇧⌘E)
selectionViewlerminalWindowmelp100% C. Q. Mon 11 May 20:05:27env — screenpipe SSH: nasдeV SCREENPIPE [SSH: NAS]> #recyclevapoconsumers> static.env* cli.py# db.pv# docker-compose.vml* Dockerfile# main.pv=requirements.txt• data>logs→oinec• aitianore* aoo settinas.ison=archive.db=archive.db-bal= do salite= dh calite-chmE dh calite-wall$ screennine svnc undated shi$ screenpipe_sync.shE screennine dhs apo settinas.isonscreenpipe_sync.sh•pipe.md• .envapp> @.envANTHROPIC [ENV_SECRET] ...•4 C;Implement and run pipe I... XPROBLEMSOUTPUTDEBUG CONSOLE+v0u.laxOUTIING1 TIMELINE*SSH: nas@0A0taacalaSpaces: 4 UTF-8 LF Dotenv88 SignIn...
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Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
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db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
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screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
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OUTPUT
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PORTS
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Forwarded Ports: 8766
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Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl [URL_WITH_CREDENTIALS] sudo docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-20
Running pipe 'day-recap' for 2026-04-20...
Traceback (most recent call last):
File "/app/cli.py", line 245, in <module>
cli()
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1161, in __call__
return self.main(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1082, in main
rv = self.invoke(ctx)
^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1697, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1443, in invoke
return ctx.invoke(self.callback, **ctx.params)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 788, in invoke
return __callback(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/cli.py", line 225, in pipe
result = run_pipe(pipe_id, target, pipes_dir=pipes_dir)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/consumers/pipes.py", line 130, in run_pipe
message = client.messages.create(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_utils/_utils.py", line 275, in wrapper
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/resources/messages/messages.py", line 953, in create
return self._post(
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1336, in post
return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1013, in request
return self._request(
^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1117, in _request
raise self._make_status_error_from_response(err.response) from None
anthropic.AuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'invalid x-api-key'}, 'request_id': 'req_011CaSoR75WgV8fTcHTYJMDY'}
Adm1n@DXP4800PLUS-B5F8:/volume1/screenpipe/app$
Thinking
Thinking
The container started before you updated the
.env
, so it's using the old placeholder key. Restart it to pick up the new one:
Copy code to clipboard
cd /volume1/screenpipe/app
sudo docker compose restart screenpipe-app
Then try again:
Copy code to clipboard
sudo docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-20
Message actions
Adm1n@DXP4800PLUS-B5F8:/volume1/screenpipe/app$ sudo docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-20
Running pipe 'day-recap' for 2026-04-20...
Traceback (most recent call last):
File "/app/cli.py", line 245, in <module>
cli()
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1161, in __call__
return self.main(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1082, in main
rv = self.invoke(ctx)
^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1697, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1443, in invoke
return ctx.invoke(self.callback, **ctx.params)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 788, in invoke
return __callback(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/cli.py", line 225, in pipe
result = run_pipe(pipe_id, target, pipes_dir=pipes_dir)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/consumers/pipes.py", line 130, in run_pipe
message = client.messages.create(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_utils/_utils.py", line 275, in wrapper
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/resources/messages/messages.py", line 953, in create
return self._post(
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1336, in post
return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1013, in request
return self._request(
^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1117, in _request
raise self._make_status_error_from_response(err.response) from None
anthropic.AuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'invalid x-api-key'}, 'request_id': 'req_011CaSoaWfbMTbPTbw5PpBu1'}
Adm1n@DXP4800PLUS-B5F8:/volume1/screenpipe/app$
Message actions...
|
[{"role":"AXRadioButton","text [{"role":"AXRadioButton","text":"Explorer (⇧⌘E)","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Search (⇧⌘F)","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Source Control (⌃⇧G) - 10 pending changes","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"10","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Run and Debug (⇧⌘D)","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Remote Explorer","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Extensions (⇧⌘X) - 2 require update","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"2","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Claude Code","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"Containers","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"EXPLORER","depth":17,"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"EXPLORER","depth":18,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Explorer Section: screenpipe [SSH: nas]","depth":21,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":true},{"role":"AXStaticText","text":"","depth":23,"on_screen":true,"role_description":"text"},{"role":"AXHeading","text":"Explorer Section: screenpipe [SSH: nas]","depth":22,"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"SCREENPIPE [SSH: NAS]","depth":23,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"#recycle","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"app","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"__pycache__","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"consumers","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"static","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"M","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"db.py","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"docker-compose.yml","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Dockerfile","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"M","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"M","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"requirements.txt","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"M","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"data","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"logs","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"pipes","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":".gitignore","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"app_settings.json","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"archive.db","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"archive.db-bak","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"U","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"db.sqlite","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"db.sqlite-shm","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"db.sqlite-wal","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync_updated.sh","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"U","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe_sync.sh","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe.db","depth":27,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Outline 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2","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXRadioButton","text":"Problems (⇧⌘M)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PROBLEMS","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Output (⇧⌘U)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUTPUT","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Debug Console (⇧⌘Y)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"DEBUG 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nas","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"SSH: nas","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - master*, Checkout Branch/Tag...","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"master*","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - Synchronize Changes","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"No Problems","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Forwarded Ports: 8766","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Notifications","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sign In","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Info: Setting up SSH Host nas: Setting up SSH tunnel","depth":12,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Implement and run pipe logic","depth":19,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":19,"on_screen":true,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":19,"on_screen":true,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"main.py","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lets implement logic with pipes. how can I run it?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me look at the current project structure to understand what's already in place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\nfeatured: true\n---\n\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## AI Tools Used\n- List each tool with approximate time spent (e.g. \"Claude: ~45min\")\n\n## What I Used Them For\n- For each tool: coding, writing, research, or brainstorming\n\n## Usage Patterns\n- Do I switch between tools? Use them in bursts or steadily?\n\n## Effectiveness\n- Which tool appeared alongside completed work vs. abandoned attempts\n\nIf no AI usage is found, say so clearly. End with: \"**Tip:** [one suggestion to use AI tools more effectively]\"\n\n=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n\n=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.\n\n=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\nfeatured: true\n---\n\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Yesterday\n- What I worked on (name specific projects, files, tools, PRs)\n\n## Today\n- What I will work on next (based on unfinished tasks and recent activity)\n\n## Blockers\n- Issues I hit — errors, slow builds, waiting on someone\n- If no blockers, write \"None\"\n\nKeep it under 150 words. Copy-paste ready for a team standup.\n\n=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Time Breakdown\ndescription: \"Where your time went — by app, project, and category\"\nicon: \"⏱\"\nfeatured: false\n---\n\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\n\nRead screenpipe skill first.\n\nUse this exact format with durations and percentages:\n\n## By Application\n- List each app with duration and percentage, sorted by time (e.g. \"VS Code: 2h 15min (28%)\")\n\n## By Category\n- Group into: coding, meetings, browsing, writing, communication, other\n- Show hours and percentage per category\n\n## By Project\n- Group related activities by project/topic. Name specific repos or tasks.\n\n## Productivity Score\n- Calculate: focused_work_hours / total_hours as a percentage\n- Focused = coding + writing. Unfocused = browsing + switching.\n\nEnd with: \"**Suggestion:** [one specific change to improve tomorrow's productivity]\"\n\n=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\nfeatured: false\n---\n\nExport a video of my screen activity from the last 5 minutes.\n\nRead screenpipe skill first.\n\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\n\nIf the export is large, suggest a lower fps or shorter time range.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"GET /api/pipes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /api/pipes/{pipe_id}/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— a","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"command to run pipes from the terminal","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me build it:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check browser_urls signature","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/consumers/activity.py | grep \"def browser_urls\" -A 5","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"def browser_urls(\n for_date: date | None = None,\n app_name: str | None = None,\n ts_from: str | None = None,\n ts_to: str | None = None,\n limit: int = 30,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"pipes.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipes.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"143 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"\"\"Dynamic pipe loader and runner.\"\"\"\nimport os\nimport re\nfrom datetime import date\nfrom pathlib import Path\nfrom typing import Any\n\n\ndef _parse_frontmatter(text: str) -> tuple[dict, str]:\n if not text.startswith(\"---\"):\n return {}, text\n try:\n end = text.index(\"---\", 3)\n except ValueError:\n return {}, text\n fm_text = text[3:end].strip()\n body = text[end + 3:].strip()\n meta: dict = {}\n for line in fm_text.splitlines():\n if \":\" in line:\n k, _, v = line.partition(\":\")\n meta[k.strip()] = v.strip().strip('\"')\n return meta, body\n\n\ndef load_pipes(pipes_dir: Path) -> list[dict]:\n if not pipes_dir.exists():\n return []\n pipes = []\n for pipe_dir in sorted(pipes_dir.iterdir()):\n if not pipe_dir.is_dir() or pipe_dir.name.startswith(\".\"):\n continue\n pipe_md = pipe_dir / \"pipe.md\"\n if not pipe_md.exists():\n continue\n text = pipe_md.read_text(encoding=\"utf-8\")\n meta, body = _parse_frontmatter(text)\n if meta.get(\"enabled\", \"true\").lower() == \"false\":\n continue\n body = re.sub(r\"Read screenpipe skill first\\.?\\n?\", \"\", body).strip()\n pipes.append({\n \"id\": pipe_dir.name,\n \"title\": meta.get(\"title\", pipe_dir.name),\n \"description\": meta.get(\"description\", \"\"),\n \"icon\": meta.get(\"icon\", \"\"),\n \"schedule\": meta.get(\"schedule\", \"manual\"),\n \"featured\": meta.get(\"featured\", \"false\").lower() == \"true\",\n \"prompt\": body,\n })\n return pipes\n\n\ndef _build_system(d: date, stats: dict) -> str:\n from consumers.activity import app_time, browser_urls, ui_event_summary\n from consumers.ocr import deduplicated_text\n from consumers.audio import formatted_transcript\n\n apps = app_time(d)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(d, limit=20)\n url_lines = \"\\n\".join(f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls)\n\n ui_rows = ui_event_summary(d)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(d, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(d)\n if len(audio) > 3000:\n audio = audio[:3000]\n\n return f\"\"\"You are analyzing screenpipe data — recordings of a person's computer activity.\n\n## App usage (minutes per app):\n{app_lines or '(no app data)'}\n\n## Browser URLs visited:\n{url_lines or '(no browser data)'}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_lines or '(no UI event data)'}\n\n## Screen content (sampled every 5 minutes):\n{ocr_lines or '(no screen data)'}\n\n## Audio / speech:\n{audio or '(no audio data)'}\n\nDate: {d}\nTotal frames recorded: {stats['total_frames']}\"\"\"\n\n\ndef run_pipe(\n pipe_id: str,\n for_date: date | None = None,\n api_key: str | None = None,\n pipes_dir: Path | None = None,\n) -> dict[str, Any]:\n import anthropic\n from consumers.activity import summary_stats\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\"title\": \"Error\", \"content\": \"ANTHROPIC_API_KEY not set.\", \"date\": str(d)}\n\n _pipes_dir = pipes_dir or Path(os.environ.get(\"PIPES_DIR\", \"/data/pipes\"))\n all_pipes = {p[\"id\"]: p for p in load_pipes(_pipes_dir)}\n\n if pipe_id not in all_pipes:\n return {\"title\": \"Error\", \"content\": f\"Pipe not found: {pipe_id}\", \"date\": str(d)}\n\n pipe = all_pipes[pipe_id]\n stats = summary_stats(d)\n\n if stats[\"total_frames\"] == 0:\n return {\"title\": pipe[\"title\"], \"content\": f\"No screen data found for {d}.\", \"date\": str(d)}\n\n system = _build_system(d, stats)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n system=system,\n messages=[{\"role\": \"user\", \"content\": pipe[\"prompt\"]}],\n )\n\n return {\n \"title\": pipe[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the API endpoints to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the pipe endpoints at the end of main.py, before the closing summary section:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 14 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the CLI command to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 40 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Done. Here's how to run pipes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to run pipes","depth":22,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to run pipes","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via Docker (inside the running container):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"docker exec -it screenpipe-app python cli.py pipe --list\ndocker exec -it screenpipe-app python cli.py pipe day-recap\ndocker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(once the container is running on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List pipes\ncurl http://localhost:8766/api/pipes\n\n# Run a pipe\ncurl -X POST \"http://localhost:8766/api/pipes/day-recap/run\"\ncurl -X POST \"http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25\"","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Rebuild and restart","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to pick up the changes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app\ndocker compose up --build -d","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"How it works:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Each","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The \"Read screenpipe skill first\" line is stripped automatically.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The pipes directory inside Docker is","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data/pipes","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(since","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). You can override it with a","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PIPES_DIR","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"env var if needed.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"where to place api key and can I use different keys","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read .env file","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/.env","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Where to place the key:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"app/.env","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"app/.env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— replace","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with your actual key:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=sk-ant-...","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"That file is loaded by","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"load_dotenv()","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"at startup and is excluded from git via","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".gitignore","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Can you use different keys per pipe?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Not currently — all pipes share the one key from","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". But you can add per-pipe key support by adding an","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"api_key","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"field to the pipe's frontmatter:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"---\ntitle: Meeting Summary\napi_key_env: ANTHROPIC_KEY_MEETINGS\n---","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Then in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/pipes.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", read it in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"_parse_frontmatter","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and pass it through","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"run_pipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". Want me to add that?","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"can I use mistral or other llm? or is is build for antrophic only","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Currently it's Anthropic-only — the code calls the","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"anthropic","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SDK directly in both","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/pipes.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/summary.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Adding other providers is straightforward since Mistral, Ollama, OpenRouter, Groq, and most modern LLMs expose an OpenAI-compatible API. The cleanest approach: add the","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"openai","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"package and let you configure the provider via","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# Anthropic (default)\nANTHROPIC_API_KEY=sk-ant-...\n\n# OR: any OpenAI-compatible provider\nLLM_PROVIDER=openai-compatible\nLLM_BASE_URL=https://api.mistral.ai/v1\nLLM_API_KEY=your-mistral-key\nLLM_MODEL=mistral-small-latest","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"This would cover Mistral, Ollama (","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"http://localhost:11434/v1","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"), OpenRouter, Groq, etc. with one code path.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Want me to implement that? It's a small change — a","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"_call_llm(system, user_prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"helper in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"that branches on","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"LLM_PROVIDER","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", and","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"openai","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"added to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"lets test it with anthropic first, how to run pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check if container is running","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app && docker compose ps 2>/dev/null || docker ps --filter name=screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Exit code 1\npermission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get \"http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?filters=%7B%22name%22%3A%7B%22screenpipe%22%3Atrue%7D%7D\": dial unix /var/run/docker.sock: connect: permission denied","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"I don't have Docker socket access, so you'll need to run these yourself. Here are your options:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option A — via Docker (if container is already running):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List available pipes\ndocker exec -it screenpipe-app python cli.py pipe --list\n\n# Run a specific pipe\ndocker exec -it screenpipe-app python cli.py pipe day-recap","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option B — rebuild first (since we added new files), then run:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app\ndocker compose up --build -d\ndocker exec -it screenpipe-app python cli.py pipe day-recap","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option C — via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(if container is up on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List pipes\ncurl http://localhost:8766/api/pipes\n\n# Run a pipe\ncurl -X POST http://localhost:8766/api/pipes/day-recap/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"day-recap","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"or","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"standup-update","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipes are the best ones to test first since they use all data sources. Which option works for you?","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"how ot run for specifiday","depth":25,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Docker exec:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-25\n# or shortcuts:\ndocker exec -it screenpipe-app python cli.py pipe day-recap --date yesterday\ndocker exec -it screenpipe-app python cli.py pipe day-recap --date today","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"API:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":true,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"curl -X POST \"http://localhost:8766/api/pipes/day-recap/run?d=2026-04-25\"","depth":25,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Adm1n@DXP4800PLUS-B5F8:/volume1/screenpipe/app$ sudo docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-20\nRunning pipe 'day-recap' for 2026-04-20...\nTraceback (most recent call last):\n File \"/app/cli.py\", line 245, in <module>\n cli()\n File \"/usr/local/lib/python3.12/site-packages/click/core.py\", line 1161, in __call__\n return self.main(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/click/core.py\", line 1082, in main\n rv = self.invoke(ctx)\n ^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/click/core.py\", line 1697, in invoke\n return _process_result(sub_ctx.command.invoke(sub_ctx))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/click/core.py\", line 1443, in invoke\n return ctx.invoke(self.callback, **ctx.params)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/click/core.py\", line 788, in invoke\n return __callback(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/app/cli.py\", line 225, in pipe\n result = run_pipe(pipe_id, target, pipes_dir=pipes_dir)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/app/consumers/pipes.py\", line 130, in run_pipe\n message = client.messages.create(\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/anthropic/_utils/_utils.py\", line 275, in wrapper\n return func(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/anthropic/resources/messages/messages.py\", line 953, in create\n return self._post(\n ^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py\", line 1336, in post\n return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py\", line 1013, in request\n return self._request(\n ^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py\", line 1117, in _request\n raise self._make_status_error_from_response(err.response) from None\nanthropic.AuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'invalid x-api-key'}, 'request_id': 'req_011CaSoR75WgV8fTcHTYJMDY'}\nAdm1n@DXP4800PLUS-B5F8:/volume1/screenpipe/app$","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":true,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"The container started before you updated the","depth":23,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":", so it's using the old placeholder key. Restart it to pick up the new one:","depth":23,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":true,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app\nsudo docker compose restart screenpipe-app","depth":25,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Then try again:","depth":23,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":true,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"sudo docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-20","depth":25,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Adm1n@DXP4800PLUS-B5F8:/volume1/screenpipe/app$ sudo docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-20\nRunning pipe 'day-recap' for 2026-04-20...\nTraceback (most recent call last):\n File \"/app/cli.py\", line 245, in <module>\n cli()\n File \"/usr/local/lib/python3.12/site-packages/click/core.py\", line 1161, in __call__\n return self.main(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/click/core.py\", line 1082, in main\n rv = self.invoke(ctx)\n ^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/click/core.py\", line 1697, in invoke\n return _process_result(sub_ctx.command.invoke(sub_ctx))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/click/core.py\", line 1443, in invoke\n return ctx.invoke(self.callback, **ctx.params)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/click/core.py\", line 788, in invoke\n return __callback(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/app/cli.py\", line 225, in pipe\n result = run_pipe(pipe_id, target, pipes_dir=pipes_dir)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/app/consumers/pipes.py\", line 130, in run_pipe\n message = client.messages.create(\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/anthropic/_utils/_utils.py\", line 275, in wrapper\n return func(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/anthropic/resources/messages/messages.py\", line 953, in create\n return self._post(\n ^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py\", line 1336, in post\n return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py\", line 1013, in request\n return self._request(\n ^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py\", line 1117, in _request\n raise self._make_status_error_from_response(err.response) from None\nanthropic.AuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'invalid x-api-key'}, 'request_id': 'req_011CaSoaWfbMTbPTbw5PpBu1'}\nAdm1n@DXP4800PLUS-B5F8:/volume1/screenpipe/app$","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
|
-245730669492622091
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-8484554665838539576
|
idle
|
accessibility
|
NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl [URL_WITH_CREDENTIALS] sudo docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-20
Running pipe 'day-recap' for 2026-04-20...
Traceback (most recent call last):
File "/app/cli.py", line 245, in <module>
cli()
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1161, in __call__
return self.main(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1082, in main
rv = self.invoke(ctx)
^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1697, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1443, in invoke
return ctx.invoke(self.callback, **ctx.params)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 788, in invoke
return __callback(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/cli.py", line 225, in pipe
result = run_pipe(pipe_id, target, pipes_dir=pipes_dir)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/consumers/pipes.py", line 130, in run_pipe
message = client.messages.create(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_utils/_utils.py", line 275, in wrapper
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/resources/messages/messages.py", line 953, in create
return self._post(
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1336, in post
return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1013, in request
return self._request(
^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1117, in _request
raise self._make_status_error_from_response(err.response) from None
anthropic.AuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'invalid x-api-key'}, 'request_id': 'req_011CaSoR75WgV8fTcHTYJMDY'}
Adm1n@DXP4800PLUS-B5F8:/volume1/screenpipe/app$
Thinking
Thinking
The container started before you updated the
.env
, so it's using the old placeholder key. Restart it to pick up the new one:
Copy code to clipboard
cd /volume1/screenpipe/app
sudo docker compose restart screenpipe-app
Then try again:
Copy code to clipboard
sudo docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-20
Message actions
Adm1n@DXP4800PLUS-B5F8:/volume1/screenpipe/app$ sudo docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-20
Running pipe 'day-recap' for 2026-04-20...
Traceback (most recent call last):
File "/app/cli.py", line 245, in <module>
cli()
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1161, in __call__
return self.main(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1082, in main
rv = self.invoke(ctx)
^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1697, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1443, in invoke
return ctx.invoke(self.callback, **ctx.params)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 788, in invoke
return __callback(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/cli.py", line 225, in pipe
result = run_pipe(pipe_id, target, pipes_dir=pipes_dir)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/consumers/pipes.py", line 130, in run_pipe
message = client.messages.create(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_utils/_utils.py", line 275, in wrapper
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/resources/messages/messages.py", line 953, in create
return self._post(
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1336, in post
return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1013, in request
return self._request(
^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1117, in _request
raise self._make_status_error_from_response(err.response) from None
anthropic.AuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'invalid x-api-key'}, 'request_id': 'req_011CaSoaWfbMTbPTbw5PpBu1'}
Adm1n@DXP4800PLUS-B5F8:/volume1/screenpipe/app$
Message actions...
|
21058
|
NULL
|
NULL
|
NULL
|
|
21062
|
920
|
1
|
2026-05-11T17:06:46.927104+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519206927_m1.jpg...
|
Code
|
Implement and run pipe l… — screenpipe [SSH: nas]
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
How it works:
Each
pipe.md
file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The "Read screenpipe skill first" line is stripped automatically.
The pipes directory inside Docker is
/data/pipes
(since
/volume1/screenpipe
→
/data
). You can override it with a
PIPES_DIR
env var if needed.
Message actions
pipe.md
pipe.md
where to place api key and can I use different keys
Thinking
Thinking
Bash
Read .env file
IN
cat /volume1/screenpipe/app/.env
Copy code to clipboard
OUT
[ENV_SECRET]
Where to place the key:
app/.env
app/.env
— replace
your_key_here
with your actual key:
Copy code to clipboard
[ENV_SECRET]
That file is loaded by
load_dotenv()
at startup and is excluded from git via
.gitignore
.
Can you use different keys per pipe?
Not currently — all pipes share the one key from
.env
. But you can add per-pipe key support by adding an
api_key
field to the pipe's frontmatter:
Copy code to clipboard
---
title: Meeting Summary
api_key_env: ANTHROPIC_KEY_MEETINGS
---
Then in
consumers/pipes.py
consumers/pipes.py
, read it in
_parse_frontmatter
and pass it through
run_pipe
. Want me to add that?
Message actions
pipe.md
pipe.md
can I use mistral or other llm? or is is build for antrophic only
Thinking
Thinking
Currently it's Anthropic-only — the code calls the
anthropic
SDK directly in both
consumers/pipes.py
consumers/pipes.py
and
consumers/summary.py
consumers/summary.py
.
Adding other providers is straightforward since Mistral, Ollama, OpenRouter, Groq, and most modern LLMs expose an OpenAI-compatible API. The cleanest approach: add the
openai
package and let you configure the provider via
.env
:
Copy code to clipboard
# Anthropic (default)
[ENV_SECRET]
# OR: any OpenAI-compatible provider
LLM_PROVIDER=openai-compatible
LLM_BASE_URL=https://api.mistral.ai/v1
[ENV_SECRET]
LLM_MODEL=mistral-small-latest
This would cover Mistral, Ollama (
http://localhost:11434/v1
), OpenRouter, Groq, etc. with one code path.
Want me to implement that? It's a small change — a
_call_llm(system, user_prompt)
helper in
pipes.py
that branches on
LLM_PROVIDER
, and
openai
added to
requirements.txt
.
Message actions
lets test it with anthropic first, how to run pipe
Thinking
Thinking
Bash
Check if container is running
IN
cd /volume1/screenpipe/app && docker compose ps 2>/dev/null || docker ps --filter name=screenpipe
Copy code to clipboard
OUT
Exit code 1
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?filters=%7B%22name%22%3A%7B%22screenpipe%22%3Atrue%7D%7D": dial unix /var/run/docker.sock: connect: permission denied
I don't have Docker socket access, so you'll need to run these yourself. Here are your options:
Option A — via Docker (if container is already running):
Copy code to clipboard
# List available pipes
docker exec -it screenpipe-app python cli.py pipe --list
# Run a specific pipe
docker exec -it screenpipe-app python cli.py pipe day-recap
Option B — rebuild first (since we added new files), then run:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
docker exec -it screenpipe-app python cli.py pipe day-recap
Option C — via the API
(if container is up on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST http://localhost:8766/api/pipes/day-recap/run
The
day-recap
or
standup-update
pipes are the best ones to test first since they use all data sources. Which option works for you?
Message actions
how ot run for specifiday
Thinking
Thinking
Docker exec:
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-25
# or shortcuts:
docker exec -it screenpipe-app python cli.py pipe day-recap --date yesterday
docker exec -it screenpipe-app python cli.py pipe day-recap --date today
API:
Copy code to clipboard...
|
[{"role":"AXRadioButton","text [{"role":"AXRadioButton","text":"Explorer (⇧⌘E)","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Search (⇧⌘F)","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Source Control (⌃⇧G) - 10 pending changes","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"10","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Run and Debug (⇧⌘D)","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Remote Explorer","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Extensions (⇧⌘X) - 2 require 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unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", 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their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\nfeatured: true\n---\n\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## AI Tools Used\n- List each tool with approximate time spent (e.g. \"Claude: ~45min\")\n\n## What I Used Them For\n- For each tool: coding, writing, research, or brainstorming\n\n## Usage Patterns\n- Do I switch between tools? Use them in bursts or steadily?\n\n## Effectiveness\n- Which tool appeared alongside completed work vs. abandoned attempts\n\nIf no AI usage is found, say so clearly. End with: \"**Tip:** [one suggestion to use AI tools more effectively]\"\n\n=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n\n=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.\n\n=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\nfeatured: true\n---\n\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Yesterday\n- What I worked on (name specific projects, files, tools, PRs)\n\n## Today\n- What I will work on next (based on unfinished tasks and recent activity)\n\n## Blockers\n- Issues I hit — errors, slow builds, waiting on someone\n- If no blockers, write \"None\"\n\nKeep it under 150 words. Copy-paste ready for a team standup.\n\n=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Time Breakdown\ndescription: \"Where your time went — by app, project, and category\"\nicon: \"⏱\"\nfeatured: false\n---\n\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\n\nRead screenpipe skill first.\n\nUse this exact format with durations and percentages:\n\n## By Application\n- List each app with duration and percentage, sorted by time (e.g. \"VS Code: 2h 15min (28%)\")\n\n## By Category\n- Group into: coding, meetings, browsing, writing, communication, other\n- Show hours and percentage per category\n\n## By Project\n- Group related activities by project/topic. Name specific repos or tasks.\n\n## Productivity Score\n- Calculate: focused_work_hours / total_hours as a percentage\n- Focused = coding + writing. Unfocused = browsing + switching.\n\nEnd with: \"**Suggestion:** [one specific change to improve tomorrow's productivity]\"\n\n=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\nfeatured: false\n---\n\nExport a video of my screen activity from the last 5 minutes.\n\nRead screenpipe skill first.\n\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\n\nIf the export is large, suggest a lower fps or shorter time range.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"GET /api/pipes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /api/pipes/{pipe_id}/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— a","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"command to run pipes from the terminal","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me build it:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check browser_urls signature","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/consumers/activity.py | grep \"def browser_urls\" -A 5","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"def browser_urls(\n for_date: date | None = None,\n app_name: str | None = None,\n ts_from: str | None = None,\n ts_to: str | None = None,\n limit: int = 30,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"pipes.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipes.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"143 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"\"\"Dynamic pipe loader and runner.\"\"\"\nimport os\nimport re\nfrom datetime import date\nfrom pathlib import Path\nfrom typing import Any\n\n\ndef _parse_frontmatter(text: str) -> tuple[dict, str]:\n if not text.startswith(\"---\"):\n return {}, text\n try:\n end = text.index(\"---\", 3)\n except ValueError:\n return {}, text\n fm_text = text[3:end].strip()\n body = text[end + 3:].strip()\n meta: dict = {}\n for line in fm_text.splitlines():\n if \":\" in line:\n k, _, v = line.partition(\":\")\n meta[k.strip()] = v.strip().strip('\"')\n return meta, body\n\n\ndef load_pipes(pipes_dir: Path) -> list[dict]:\n if not pipes_dir.exists():\n return []\n pipes = []\n for pipe_dir in sorted(pipes_dir.iterdir()):\n if not pipe_dir.is_dir() or pipe_dir.name.startswith(\".\"):\n continue\n pipe_md = pipe_dir / \"pipe.md\"\n if not pipe_md.exists():\n continue\n text = pipe_md.read_text(encoding=\"utf-8\")\n meta, body = _parse_frontmatter(text)\n if meta.get(\"enabled\", \"true\").lower() == \"false\":\n continue\n body = re.sub(r\"Read screenpipe skill first\\.?\\n?\", \"\", body).strip()\n pipes.append({\n \"id\": pipe_dir.name,\n \"title\": meta.get(\"title\", pipe_dir.name),\n \"description\": meta.get(\"description\", \"\"),\n \"icon\": meta.get(\"icon\", \"\"),\n \"schedule\": meta.get(\"schedule\", \"manual\"),\n \"featured\": meta.get(\"featured\", \"false\").lower() == \"true\",\n \"prompt\": body,\n })\n return pipes\n\n\ndef _build_system(d: date, stats: dict) -> str:\n from consumers.activity import app_time, browser_urls, ui_event_summary\n from consumers.ocr import deduplicated_text\n from consumers.audio import formatted_transcript\n\n apps = app_time(d)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(d, limit=20)\n url_lines = \"\\n\".join(f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls)\n\n ui_rows = ui_event_summary(d)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(d, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(d)\n if len(audio) > 3000:\n audio = audio[:3000]\n\n return f\"\"\"You are analyzing screenpipe data — recordings of a person's computer activity.\n\n## App usage (minutes per app):\n{app_lines or '(no app data)'}\n\n## Browser URLs visited:\n{url_lines or '(no browser data)'}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_lines or '(no UI event data)'}\n\n## Screen content (sampled every 5 minutes):\n{ocr_lines or '(no screen data)'}\n\n## Audio / speech:\n{audio or '(no audio data)'}\n\nDate: {d}\nTotal frames recorded: {stats['total_frames']}\"\"\"\n\n\ndef run_pipe(\n pipe_id: str,\n for_date: date | None = None,\n api_key: str | None = None,\n pipes_dir: Path | None = None,\n) -> dict[str, Any]:\n import anthropic\n from consumers.activity import summary_stats\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\"title\": \"Error\", \"content\": \"ANTHROPIC_API_KEY not set.\", \"date\": str(d)}\n\n _pipes_dir = pipes_dir or Path(os.environ.get(\"PIPES_DIR\", \"/data/pipes\"))\n all_pipes = {p[\"id\"]: p for p in load_pipes(_pipes_dir)}\n\n if pipe_id not in all_pipes:\n return {\"title\": \"Error\", \"content\": f\"Pipe not found: {pipe_id}\", \"date\": str(d)}\n\n pipe = all_pipes[pipe_id]\n stats = summary_stats(d)\n\n if stats[\"total_frames\"] == 0:\n return {\"title\": pipe[\"title\"], \"content\": f\"No screen data found for {d}.\", \"date\": str(d)}\n\n system = _build_system(d, stats)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n system=system,\n messages=[{\"role\": \"user\", \"content\": pipe[\"prompt\"]}],\n )\n\n return {\n \"title\": pipe[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the API endpoints to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the pipe endpoints at the end of main.py, before the closing summary section:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 14 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the CLI command to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 40 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Done. Here's how to run pipes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to run pipes","depth":22,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to run pipes","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via Docker (inside the running container):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"docker exec -it screenpipe-app python cli.py pipe --list\ndocker exec -it screenpipe-app python cli.py pipe day-recap\ndocker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(once the container is running on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List pipes\ncurl http://localhost:8766/api/pipes\n\n# Run a pipe\ncurl -X POST \"http://localhost:8766/api/pipes/day-recap/run\"\ncurl -X POST \"http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25\"","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Rebuild and restart","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to pick up the changes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app\ndocker compose up --build -d","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"How it works:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Each","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The \"Read screenpipe skill first\" line is stripped automatically.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The pipes directory inside Docker is","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data/pipes","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(since","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). You can override it with a","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PIPES_DIR","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"env var if needed.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"where to place api key and can I use different keys","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read .env file","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/.env","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Where to place the key:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"app/.env","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"app/.env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— replace","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with your actual key:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=sk-ant-...","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"That file is loaded by","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"load_dotenv()","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"at startup and is excluded from git via","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".gitignore","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Can you use different keys per pipe?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Not currently — all pipes share the one key from","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". But you can add per-pipe key support by adding an","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"api_key","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"field to the pipe's frontmatter:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"---\ntitle: Meeting Summary\napi_key_env: ANTHROPIC_KEY_MEETINGS\n---","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Then in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/pipes.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", read it in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"_parse_frontmatter","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and pass it through","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"run_pipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". Want me to add that?","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"can I use mistral or other llm? or is is build for antrophic only","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Currently it's Anthropic-only — the code calls the","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"anthropic","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SDK directly in both","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/pipes.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/summary.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Adding other providers is straightforward since Mistral, Ollama, OpenRouter, Groq, and most modern LLMs expose an OpenAI-compatible API. The cleanest approach: add the","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"openai","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"package and let you configure the provider via","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# Anthropic (default)\nANTHROPIC_API_KEY=sk-ant-...\n\n# OR: any OpenAI-compatible provider\nLLM_PROVIDER=openai-compatible\nLLM_BASE_URL=https://api.mistral.ai/v1\nLLM_API_KEY=your-mistral-key\nLLM_MODEL=mistral-small-latest","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"This would cover Mistral, Ollama (","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"http://localhost:11434/v1","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"), OpenRouter, Groq, etc. with one code path.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Want me to implement that? It's a small change — a","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"_call_llm(system, user_prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"helper in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"that branches on","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"LLM_PROVIDER","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", and","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"openai","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"added to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"lets test it with anthropic first, how to run pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check if container is running","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app && docker compose ps 2>/dev/null || docker ps --filter name=screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Exit code 1\npermission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get \"http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?filters=%7B%22name%22%3A%7B%22screenpipe%22%3Atrue%7D%7D\": dial unix /var/run/docker.sock: connect: permission denied","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"I don't have Docker socket access, so you'll need to run these yourself. Here are your options:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option A — via Docker (if container is already running):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List available pipes\ndocker exec -it screenpipe-app python cli.py pipe --list\n\n# Run a specific pipe\ndocker exec -it screenpipe-app python cli.py pipe day-recap","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option B — rebuild first (since we added new files), then run:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app\ndocker compose up --build -d\ndocker exec -it screenpipe-app python cli.py pipe day-recap","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option C — via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(if container is up on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List pipes\ncurl http://localhost:8766/api/pipes\n\n# Run a pipe\ncurl -X POST http://localhost:8766/api/pipes/day-recap/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"day-recap","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"or","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"standup-update","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipes are the best ones to test first since they use all data sources. Which option works for you?","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"how ot run for specifiday","depth":25,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Docker exec:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-25\n# or shortcuts:\ndocker exec -it screenpipe-app python cli.py pipe day-recap --date yesterday\ndocker exec -it screenpipe-app python cli.py pipe day-recap --date today","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"API:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":true,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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idle
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accessibility
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NULL
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
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/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
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/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
How it works:
Each
pipe.md
file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The "Read screenpipe skill first" line is stripped automatically.
The pipes directory inside Docker is
/data/pipes
(since
/volume1/screenpipe
→
/data
). You can override it with a
PIPES_DIR
env var if needed.
Message actions
pipe.md
pipe.md
where to place api key and can I use different keys
Thinking
Thinking
Bash
Read .env file
IN
cat /volume1/screenpipe/app/.env
Copy code to clipboard
OUT
[ENV_SECRET]
Where to place the key:
app/.env
app/.env
— replace
your_key_here
with your actual key:
Copy code to clipboard
[ENV_SECRET]
That file is loaded by
load_dotenv()
at startup and is excluded from git via
.gitignore
.
Can you use different keys per pipe?
Not currently — all pipes share the one key from
.env
. But you can add per-pipe key support by adding an
api_key
field to the pipe's frontmatter:
Copy code to clipboard
---
title: Meeting Summary
api_key_env: ANTHROPIC_KEY_MEETINGS
---
Then in
consumers/pipes.py
consumers/pipes.py
, read it in
_parse_frontmatter
and pass it through
run_pipe
. Want me to add that?
Message actions
pipe.md
pipe.md
can I use mistral or other llm? or is is build for antrophic only
Thinking
Thinking
Currently it's Anthropic-only — the code calls the
anthropic
SDK directly in both
consumers/pipes.py
consumers/pipes.py
and
consumers/summary.py
consumers/summary.py
.
Adding other providers is straightforward since Mistral, Ollama, OpenRouter, Groq, and most modern LLMs expose an OpenAI-compatible API. The cleanest approach: add the
openai
package and let you configure the provider via
.env
:
Copy code to clipboard
# Anthropic (default)
[ENV_SECRET]
# OR: any OpenAI-compatible provider
LLM_PROVIDER=openai-compatible
LLM_BASE_URL=https://api.mistral.ai/v1
[ENV_SECRET]
LLM_MODEL=mistral-small-latest
This would cover Mistral, Ollama (
http://localhost:11434/v1
), OpenRouter, Groq, etc. with one code path.
Want me to implement that? It's a small change — a
_call_llm(system, user_prompt)
helper in
pipes.py
that branches on
LLM_PROVIDER
, and
openai
added to
requirements.txt
.
Message actions
lets test it with anthropic first, how to run pipe
Thinking
Thinking
Bash
Check if container is running
IN
cd /volume1/screenpipe/app && docker compose ps 2>/dev/null || docker ps --filter name=screenpipe
Copy code to clipboard
OUT
Exit code 1
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?filters=%7B%22name%22%3A%7B%22screenpipe%22%3Atrue%7D%7D": dial unix /var/run/docker.sock: connect: permission denied
I don't have Docker socket access, so you'll need to run these yourself. Here are your options:
Option A — via Docker (if container is already running):
Copy code to clipboard
# List available pipes
docker exec -it screenpipe-app python cli.py pipe --list
# Run a specific pipe
docker exec -it screenpipe-app python cli.py pipe day-recap
Option B — rebuild first (since we added new files), then run:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
docker exec -it screenpipe-app python cli.py pipe day-recap
Option C — via the API
(if container is up on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST http://localhost:8766/api/pipes/day-recap/run
The
day-recap
or
standup-update
pipes are the best ones to test first since they use all data sources. Which option works for you?
Message actions
how ot run for specifiday
Thinking
Thinking
Docker exec:
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-25
# or shortcuts:
docker exec -it screenpipe-app python cli.py pipe day-recap --date yesterday
docker exec -it screenpipe-app python cli.py pipe day-recap --date today
API:
Copy code to clipboard...
|
NULL
|
NULL
|
NULL
|
NULL
|
|
21064
|
920
|
2
|
2026-05-11T17:07:17.284111+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519237284_m1.jpg...
|
Code
|
Implement and run pipe l… — screenpipe [SSH: nas]
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl [URL_WITH_CREDENTIALS] sudo docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-20
Running pipe 'day-recap' for 2026-04-20...
Traceback (most recent call last):
File "/app/cli.py", line 245, in <module>
cli()
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1161, in __call__
return self.main(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1082, in main
rv = self.invoke(ctx)
^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1697, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1443, in invoke
return ctx.invoke(self.callback, **ctx.params)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 788, in invoke
return __callback(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/cli.py", line 225, in pipe
result = run_pipe(pipe_id, target, pipes_dir=pipes_dir)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/consumers/pipes.py", line 130, in run_pipe
message = client.messages.create(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_utils/_utils.py", line 275, in wrapper
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/resources/messages/messages.py", line 953, in create
return self._post(
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1336, in post
return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1013, in request
return self._request(
^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1117, in _request
raise self._make_status_error_from_response(err.response) from None
anthropic.AuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'invalid x-api-key'}, 'request_id': 'req_011CaSoR75WgV8fTcHTYJMDY'}
Adm1n@DXP4800PLUS-B5F8:/volume1/screenpipe/app$
Thinking
Thinking...
|
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#4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\nfeatured: true\n---\n\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## AI Tools Used\n- List each tool with approximate time spent (e.g. \"Claude: ~45min\")\n\n## What I Used Them For\n- For each tool: coding, writing, research, or brainstorming\n\n## Usage Patterns\n- Do I switch between tools? Use them in bursts or steadily?\n\n## Effectiveness\n- Which tool appeared alongside completed work vs. abandoned attempts\n\nIf no AI usage is found, say so clearly. End with: \"**Tip:** [one suggestion to use AI tools more effectively]\"\n\n=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n\n=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.\n\n=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\nfeatured: true\n---\n\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Yesterday\n- What I worked on (name specific projects, files, tools, PRs)\n\n## Today\n- What I will work on next (based on unfinished tasks and recent activity)\n\n## Blockers\n- Issues I hit — errors, slow builds, waiting on someone\n- If no blockers, write \"None\"\n\nKeep it under 150 words. Copy-paste ready for a team standup.\n\n=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Time Breakdown\ndescription: \"Where your time went — by app, project, and category\"\nicon: \"⏱\"\nfeatured: false\n---\n\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\n\nRead screenpipe skill first.\n\nUse this exact format with durations and percentages:\n\n## By Application\n- List each app with duration and percentage, sorted by time (e.g. \"VS Code: 2h 15min (28%)\")\n\n## By Category\n- Group into: coding, meetings, browsing, writing, communication, other\n- Show hours and percentage per category\n\n## By Project\n- Group related activities by project/topic. Name specific repos or tasks.\n\n## Productivity Score\n- Calculate: focused_work_hours / total_hours as a percentage\n- Focused = coding + writing. Unfocused = browsing + switching.\n\nEnd with: \"**Suggestion:** [one specific change to improve tomorrow's productivity]\"\n\n=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\nfeatured: false\n---\n\nExport a video of my screen activity from the last 5 minutes.\n\nRead screenpipe skill first.\n\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\n\nIf the export is large, suggest a lower fps or shorter time range.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"GET /api/pipes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /api/pipes/{pipe_id}/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— a","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"command to run pipes from the terminal","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me build it:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check browser_urls signature","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/consumers/activity.py | grep \"def browser_urls\" -A 5","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"def browser_urls(\n for_date: date | None = None,\n app_name: str | None = None,\n ts_from: str | None = None,\n ts_to: str | None = None,\n limit: int = 30,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"pipes.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipes.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"143 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"\"\"Dynamic pipe loader and runner.\"\"\"\nimport os\nimport re\nfrom datetime import date\nfrom pathlib import Path\nfrom typing import Any\n\n\ndef _parse_frontmatter(text: str) -> tuple[dict, str]:\n if not text.startswith(\"---\"):\n return {}, text\n try:\n end = text.index(\"---\", 3)\n except ValueError:\n return {}, text\n fm_text = text[3:end].strip()\n body = text[end + 3:].strip()\n meta: dict = {}\n for line in fm_text.splitlines():\n if \":\" in line:\n k, _, v = line.partition(\":\")\n meta[k.strip()] = v.strip().strip('\"')\n return meta, body\n\n\ndef load_pipes(pipes_dir: Path) -> list[dict]:\n if not pipes_dir.exists():\n return []\n pipes = []\n for pipe_dir in sorted(pipes_dir.iterdir()):\n if not pipe_dir.is_dir() or pipe_dir.name.startswith(\".\"):\n continue\n pipe_md = pipe_dir / \"pipe.md\"\n if not pipe_md.exists():\n continue\n text = pipe_md.read_text(encoding=\"utf-8\")\n meta, body = _parse_frontmatter(text)\n if meta.get(\"enabled\", \"true\").lower() == \"false\":\n continue\n body = re.sub(r\"Read screenpipe skill first\\.?\\n?\", \"\", body).strip()\n pipes.append({\n \"id\": pipe_dir.name,\n \"title\": meta.get(\"title\", pipe_dir.name),\n \"description\": meta.get(\"description\", \"\"),\n \"icon\": meta.get(\"icon\", \"\"),\n \"schedule\": meta.get(\"schedule\", \"manual\"),\n \"featured\": meta.get(\"featured\", \"false\").lower() == \"true\",\n \"prompt\": body,\n })\n return pipes\n\n\ndef _build_system(d: date, stats: dict) -> str:\n from consumers.activity import app_time, browser_urls, ui_event_summary\n from consumers.ocr import deduplicated_text\n from consumers.audio import formatted_transcript\n\n apps = app_time(d)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(d, limit=20)\n url_lines = \"\\n\".join(f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls)\n\n ui_rows = ui_event_summary(d)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(d, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(d)\n if len(audio) > 3000:\n audio = audio[:3000]\n\n return f\"\"\"You are analyzing screenpipe data — recordings of a person's computer activity.\n\n## App usage (minutes per app):\n{app_lines or '(no app data)'}\n\n## Browser URLs visited:\n{url_lines or '(no browser data)'}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_lines or '(no UI event data)'}\n\n## Screen content (sampled every 5 minutes):\n{ocr_lines or '(no screen data)'}\n\n## Audio / speech:\n{audio or '(no audio data)'}\n\nDate: {d}\nTotal frames recorded: {stats['total_frames']}\"\"\"\n\n\ndef run_pipe(\n pipe_id: str,\n for_date: date | None = None,\n api_key: str | None = None,\n pipes_dir: Path | None = None,\n) -> dict[str, Any]:\n import anthropic\n from consumers.activity import summary_stats\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\"title\": \"Error\", \"content\": \"ANTHROPIC_API_KEY not set.\", \"date\": str(d)}\n\n _pipes_dir = pipes_dir or Path(os.environ.get(\"PIPES_DIR\", \"/data/pipes\"))\n all_pipes = {p[\"id\"]: p for p in load_pipes(_pipes_dir)}\n\n if pipe_id not in all_pipes:\n return {\"title\": \"Error\", \"content\": f\"Pipe not found: {pipe_id}\", \"date\": str(d)}\n\n pipe = all_pipes[pipe_id]\n stats = summary_stats(d)\n\n if stats[\"total_frames\"] == 0:\n return {\"title\": pipe[\"title\"], \"content\": f\"No screen data found for {d}.\", \"date\": str(d)}\n\n system = _build_system(d, stats)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n system=system,\n messages=[{\"role\": \"user\", \"content\": pipe[\"prompt\"]}],\n )\n\n return {\n \"title\": pipe[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the API endpoints to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the pipe endpoints at the end of main.py, before the closing summary section:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 14 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the CLI command to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 40 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Done. Here's how to run pipes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to run pipes","depth":22,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to run pipes","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via Docker (inside the running container):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"docker exec -it screenpipe-app python cli.py pipe --list\ndocker exec -it screenpipe-app python cli.py pipe day-recap\ndocker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(once the container is running on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List pipes\ncurl http://localhost:8766/api/pipes\n\n# Run a pipe\ncurl -X POST \"http://localhost:8766/api/pipes/day-recap/run\"\ncurl -X POST \"http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25\"","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Rebuild and restart","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to pick up the changes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app\ndocker compose up --build -d","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"How it works:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Each","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The \"Read screenpipe skill first\" line is stripped automatically.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The pipes directory inside Docker is","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data/pipes","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(since","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). You can override it with a","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PIPES_DIR","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"env var if needed.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"where to place api key and can I use different keys","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read .env file","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/.env","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Where to place the key:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"app/.env","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"app/.env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— replace","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with your actual key:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=sk-ant-...","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"That file is loaded by","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"load_dotenv()","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"at startup and is excluded from git via","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".gitignore","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Can you use different keys per pipe?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Not currently — all pipes share the one key from","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". But you can add per-pipe key support by adding an","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"api_key","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"field to the pipe's frontmatter:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"---\ntitle: Meeting Summary\napi_key_env: ANTHROPIC_KEY_MEETINGS\n---","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Then in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/pipes.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", read it in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"_parse_frontmatter","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and pass it through","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"run_pipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". Want me to add that?","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"can I use mistral or other llm? or is is build for antrophic only","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Currently it's Anthropic-only — the code calls the","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"anthropic","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SDK directly in both","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/pipes.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/summary.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Adding other providers is straightforward since Mistral, Ollama, OpenRouter, Groq, and most modern LLMs expose an OpenAI-compatible API. The cleanest approach: add the","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"openai","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"package and let you configure the provider via","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# Anthropic (default)\nANTHROPIC_API_KEY=sk-ant-...\n\n# OR: any OpenAI-compatible provider\nLLM_PROVIDER=openai-compatible\nLLM_BASE_URL=https://api.mistral.ai/v1\nLLM_API_KEY=your-mistral-key\nLLM_MODEL=mistral-small-latest","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"This would cover Mistral, Ollama (","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"http://localhost:11434/v1","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"), OpenRouter, Groq, etc. with one code path.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Want me to implement that? It's a small change — a","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"_call_llm(system, user_prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"helper in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"that branches on","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"LLM_PROVIDER","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", and","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"openai","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"added to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"lets test it with anthropic first, how to run pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check if container is running","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app && docker compose ps 2>/dev/null || docker ps --filter name=screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Exit code 1\npermission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get \"http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?filters=%7B%22name%22%3A%7B%22screenpipe%22%3Atrue%7D%7D\": dial unix /var/run/docker.sock: connect: permission denied","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"I don't have Docker socket access, so you'll need to run these yourself. Here are your options:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option A — via Docker (if container is already running):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List available pipes\ndocker exec -it screenpipe-app python cli.py pipe --list\n\n# Run a specific pipe\ndocker exec -it screenpipe-app python cli.py pipe day-recap","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option B — rebuild first (since we added new files), then run:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app\ndocker compose up --build -d\ndocker exec -it screenpipe-app python cli.py pipe day-recap","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option C — via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(if container is up on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List pipes\ncurl http://localhost:8766/api/pipes\n\n# Run a pipe\ncurl -X POST http://localhost:8766/api/pipes/day-recap/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"day-recap","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"or","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"standup-update","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipes are the best ones to test first since they use all data sources. Which option works for you?","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"how ot run for specifiday","depth":25,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Docker exec:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-25\n# or shortcuts:\ndocker exec -it screenpipe-app python cli.py pipe day-recap --date yesterday\ndocker exec -it screenpipe-app python cli.py pipe day-recap --date today","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"API:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":true,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"curl -X POST \"http://localhost:8766/api/pipes/day-recap/run?d=2026-04-25\"","depth":25,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Adm1n@DXP4800PLUS-B5F8:/volume1/screenpipe/app$ sudo docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-20\nRunning pipe 'day-recap' for 2026-04-20...\nTraceback (most recent call last):\n File \"/app/cli.py\", line 245, in <module>\n cli()\n File \"/usr/local/lib/python3.12/site-packages/click/core.py\", line 1161, in __call__\n return self.main(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/click/core.py\", line 1082, in main\n rv = self.invoke(ctx)\n ^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/click/core.py\", line 1697, in invoke\n return _process_result(sub_ctx.command.invoke(sub_ctx))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/click/core.py\", line 1443, in invoke\n return ctx.invoke(self.callback, **ctx.params)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/click/core.py\", line 788, in invoke\n return __callback(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/app/cli.py\", line 225, in pipe\n result = run_pipe(pipe_id, target, pipes_dir=pipes_dir)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/app/consumers/pipes.py\", line 130, in run_pipe\n message = client.messages.create(\n ^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/anthropic/_utils/_utils.py\", line 275, in wrapper\n return func(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/anthropic/resources/messages/messages.py\", line 953, in create\n return self._post(\n ^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py\", line 1336, in post\n return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py\", line 1013, in request\n return self._request(\n ^^^^^^^^^^^^^^\n File \"/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py\", line 1117, in _request\n raise self._make_status_error_from_response(err.response) from None\nanthropic.AuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'invalid x-api-key'}, 'request_id': 'req_011CaSoR75WgV8fTcHTYJMDY'}\nAdm1n@DXP4800PLUS-B5F8:/volume1/screenpipe/app$","depth":26,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":true,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":true,"role_description":"text"}]...
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2158626665587694396
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-8196324427125781304
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idle
|
accessibility
|
NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl [URL_WITH_CREDENTIALS] sudo docker exec -it screenpipe-app python cli.py pipe day-recap --date 2026-04-20
Running pipe 'day-recap' for 2026-04-20...
Traceback (most recent call last):
File "/app/cli.py", line 245, in <module>
cli()
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1161, in __call__
return self.main(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1082, in main
rv = self.invoke(ctx)
^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1697, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 1443, in invoke
return ctx.invoke(self.callback, **ctx.params)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/click/core.py", line 788, in invoke
return __callback(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/cli.py", line 225, in pipe
result = run_pipe(pipe_id, target, pipes_dir=pipes_dir)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/consumers/pipes.py", line 130, in run_pipe
message = client.messages.create(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_utils/_utils.py", line 275, in wrapper
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/resources/messages/messages.py", line 953, in create
return self._post(
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1336, in post
return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1013, in request
return self._request(
^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/anthropic/_base_client.py", line 1117, in _request
raise self._make_status_error_from_response(err.response) from None
anthropic.AuthenticationError: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'invalid x-api-key'}, 'request_id': 'req_011CaSoR75WgV8fTcHTYJMDY'}
Adm1n@DXP4800PLUS-B5F8:/volume1/screenpipe/app$
Thinking
Thinking...
|
21062
|
NULL
|
NULL
|
NULL
|
|
21066
|
920
|
3
|
2026-05-11T17:07:47.643228+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519267643_m1.jpg...
|
Code
|
Implement and run pipe l… — screenpipe [SSH: nas]
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard...
|
[{"role":"AXRadioButton","text [{"role":"AXRadioButton","text":"Explorer (⇧⌘E)","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Search (⇧⌘F)","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Source Control (⌃⇧G) - 10 pending changes","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"10","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Run and Debug (⇧⌘D)","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Remote Explorer","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Extensions (⇧⌘X) - 2 require update","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"2","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Claude Code","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"Containers","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"EXPLORER","depth":17,"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"EXPLORER","depth":18,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Explorer Section: screenpipe [SSH: 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Problems","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Forwarded Ports: 8766","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Notifications","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sign In","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Info: Setting up SSH Host nas: Setting up SSH tunnel","depth":12,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Implement and run pipe logic","depth":19,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":19,"on_screen":true,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":19,"on_screen":true,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"main.py","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lets implement logic with pipes. how can I run it?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me look at the current project structure to understand what's already in place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\nfeatured: true\n---\n\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## AI Tools Used\n- List each tool with approximate time spent (e.g. \"Claude: ~45min\")\n\n## What I Used Them For\n- For each tool: coding, writing, research, or brainstorming\n\n## Usage Patterns\n- Do I switch between tools? Use them in bursts or steadily?\n\n## Effectiveness\n- Which tool appeared alongside completed work vs. abandoned attempts\n\nIf no AI usage is found, say so clearly. End with: \"**Tip:** [one suggestion to use AI tools more effectively]\"\n\n=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n\n=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.\n\n=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\nfeatured: true\n---\n\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Yesterday\n- What I worked on (name specific projects, files, tools, PRs)\n\n## Today\n- What I will work on next (based on unfinished tasks and recent activity)\n\n## Blockers\n- Issues I hit — errors, slow builds, waiting on someone\n- If no blockers, write \"None\"\n\nKeep it under 150 words. Copy-paste ready for a team standup.\n\n=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Time Breakdown\ndescription: \"Where your time went — by app, project, and category\"\nicon: \"⏱\"\nfeatured: false\n---\n\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\n\nRead screenpipe skill first.\n\nUse this exact format with durations and percentages:\n\n## By Application\n- List each app with duration and percentage, sorted by time (e.g. \"VS Code: 2h 15min (28%)\")\n\n## By Category\n- Group into: coding, meetings, browsing, writing, communication, other\n- Show hours and percentage per category\n\n## By Project\n- Group related activities by project/topic. Name specific repos or tasks.\n\n## Productivity Score\n- Calculate: focused_work_hours / total_hours as a percentage\n- Focused = coding + writing. Unfocused = browsing + switching.\n\nEnd with: \"**Suggestion:** [one specific change to improve tomorrow's productivity]\"\n\n=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\nfeatured: false\n---\n\nExport a video of my screen activity from the last 5 minutes.\n\nRead screenpipe skill first.\n\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\n\nIf the export is large, suggest a lower fps or shorter time range.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"GET /api/pipes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /api/pipes/{pipe_id}/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— a","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"command to run pipes from the terminal","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me build it:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check browser_urls signature","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/consumers/activity.py | grep \"def browser_urls\" -A 5","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"def browser_urls(\n for_date: date | None = None,\n app_name: str | None = None,\n ts_from: str | None = None,\n ts_to: str | None = None,\n limit: int = 30,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"pipes.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipes.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"143 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"\"\"Dynamic pipe loader and runner.\"\"\"\nimport os\nimport re\nfrom datetime import date\nfrom pathlib import Path\nfrom typing import Any\n\n\ndef _parse_frontmatter(text: str) -> tuple[dict, str]:\n if not text.startswith(\"---\"):\n return {}, text\n try:\n end = text.index(\"---\", 3)\n except ValueError:\n return {}, text\n fm_text = text[3:end].strip()\n body = text[end + 3:].strip()\n meta: dict = {}\n for line in fm_text.splitlines():\n if \":\" in line:\n k, _, v = line.partition(\":\")\n meta[k.strip()] = v.strip().strip('\"')\n return meta, body\n\n\ndef load_pipes(pipes_dir: Path) -> list[dict]:\n if not pipes_dir.exists():\n return []\n pipes = []\n for pipe_dir in sorted(pipes_dir.iterdir()):\n if not pipe_dir.is_dir() or pipe_dir.name.startswith(\".\"):\n continue\n pipe_md = pipe_dir / \"pipe.md\"\n if not pipe_md.exists():\n continue\n text = pipe_md.read_text(encoding=\"utf-8\")\n meta, body = _parse_frontmatter(text)\n if meta.get(\"enabled\", \"true\").lower() == \"false\":\n continue\n body = re.sub(r\"Read screenpipe skill first\\.?\\n?\", \"\", body).strip()\n pipes.append({\n \"id\": pipe_dir.name,\n \"title\": meta.get(\"title\", pipe_dir.name),\n \"description\": meta.get(\"description\", \"\"),\n \"icon\": meta.get(\"icon\", \"\"),\n \"schedule\": meta.get(\"schedule\", \"manual\"),\n \"featured\": meta.get(\"featured\", \"false\").lower() == \"true\",\n \"prompt\": body,\n })\n return pipes\n\n\ndef _build_system(d: date, stats: dict) -> str:\n from consumers.activity import app_time, browser_urls, ui_event_summary\n from consumers.ocr import deduplicated_text\n from consumers.audio import formatted_transcript\n\n apps = app_time(d)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(d, limit=20)\n url_lines = \"\\n\".join(f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls)\n\n ui_rows = ui_event_summary(d)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(d, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(d)\n if len(audio) > 3000:\n audio = audio[:3000]\n\n return f\"\"\"You are analyzing screenpipe data — recordings of a person's computer activity.\n\n## App usage (minutes per app):\n{app_lines or '(no app data)'}\n\n## Browser URLs visited:\n{url_lines or '(no browser data)'}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_lines or '(no UI event data)'}\n\n## Screen content (sampled every 5 minutes):\n{ocr_lines or '(no screen data)'}\n\n## Audio / speech:\n{audio or '(no audio data)'}\n\nDate: {d}\nTotal frames recorded: {stats['total_frames']}\"\"\"\n\n\ndef run_pipe(\n pipe_id: str,\n for_date: date | None = None,\n api_key: str | None = None,\n pipes_dir: Path | None = None,\n) -> dict[str, Any]:\n import anthropic\n from consumers.activity import summary_stats\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\"title\": \"Error\", \"content\": \"ANTHROPIC_API_KEY not set.\", \"date\": str(d)}\n\n _pipes_dir = pipes_dir or Path(os.environ.get(\"PIPES_DIR\", \"/data/pipes\"))\n all_pipes = {p[\"id\"]: p for p in load_pipes(_pipes_dir)}\n\n if pipe_id not in all_pipes:\n return {\"title\": \"Error\", \"content\": f\"Pipe not found: {pipe_id}\", \"date\": str(d)}\n\n pipe = all_pipes[pipe_id]\n stats = summary_stats(d)\n\n if stats[\"total_frames\"] == 0:\n return {\"title\": pipe[\"title\"], \"content\": f\"No screen data found for {d}.\", \"date\": str(d)}\n\n system = _build_system(d, stats)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n system=system,\n messages=[{\"role\": \"user\", \"content\": pipe[\"prompt\"]}],\n )\n\n return {\n \"title\": pipe[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the API endpoints to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the pipe endpoints at the end of main.py, before the closing summary section:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 14 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the CLI command to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 40 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Done. Here's how to run pipes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to run pipes","depth":22,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to run pipes","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via Docker (inside the running container):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"docker exec -it screenpipe-app python cli.py pipe --list\ndocker exec -it screenpipe-app python cli.py pipe day-recap\ndocker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(once the container is running on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
|
-8963375894614035486
|
-8691439177447798548
|
idle
|
accessibility
|
NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard...
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NULL
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NULL
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NULL
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NULL
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21068
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920
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4
|
2026-05-11T17:08:17.995607+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519297995_m1.jpg...
|
Code
|
Implement and run pipe l… — screenpipe [SSH: nas]
|
True
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NULL
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monitor_1
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NULL
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NULL
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NULL
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NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:...
|
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/volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\nfeatured: true\n---\n\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## AI Tools Used\n- List each tool with approximate time spent (e.g. \"Claude: ~45min\")\n\n## What I Used Them For\n- For each tool: coding, writing, research, or brainstorming\n\n## Usage Patterns\n- Do I switch between tools? Use them in bursts or steadily?\n\n## Effectiveness\n- Which tool appeared alongside completed work vs. abandoned attempts\n\nIf no AI usage is found, say so clearly. End with: \"**Tip:** [one suggestion to use AI tools more effectively]\"\n\n=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n\n=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.\n\n=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\nfeatured: true\n---\n\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Yesterday\n- What I worked on (name specific projects, files, tools, PRs)\n\n## Today\n- What I will work on next (based on unfinished tasks and recent activity)\n\n## Blockers\n- Issues I hit — errors, slow builds, waiting on someone\n- If no blockers, write \"None\"\n\nKeep it under 150 words. Copy-paste ready for a team standup.\n\n=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Time Breakdown\ndescription: \"Where your time went — by app, project, and category\"\nicon: \"⏱\"\nfeatured: false\n---\n\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\n\nRead screenpipe skill first.\n\nUse this exact format with durations and percentages:\n\n## By Application\n- List each app with duration and percentage, sorted by time (e.g. \"VS Code: 2h 15min (28%)\")\n\n## By Category\n- Group into: coding, meetings, browsing, writing, communication, other\n- Show hours and percentage per category\n\n## By Project\n- Group related activities by project/topic. Name specific repos or tasks.\n\n## Productivity Score\n- Calculate: focused_work_hours / total_hours as a percentage\n- Focused = coding + writing. Unfocused = browsing + switching.\n\nEnd with: \"**Suggestion:** [one specific change to improve tomorrow's productivity]\"\n\n=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\nfeatured: false\n---\n\nExport a video of my screen activity from the last 5 minutes.\n\nRead screenpipe skill first.\n\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\n\nIf the export is large, suggest a lower fps or shorter time range.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"}]...
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-8907047231489583008
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idle
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accessibility
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NULL
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:...
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21066
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21070
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920
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5
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2026-05-11T17:08:48.337414+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519328337_m1.jpg...
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Code
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Implement and run pipe l… — screenpipe [SSH: nas]
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True
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NULL
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monitor_1
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NULL
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash...
|
[{"role":"AXRadioButton","text [{"role":"AXRadioButton","text":"Explorer (⇧⌘E)","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Search (⇧⌘F)","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Source Control (⌃⇧G) - 10 pending 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2","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXRadioButton","text":"Problems (⇧⌘M)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PROBLEMS","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Output (⇧⌘U)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUTPUT","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Debug Console (⇧⌘Y)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"DEBUG 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nas","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"SSH: nas","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - master*, Checkout Branch/Tag...","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"master*","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - Synchronize Changes","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"No Problems","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Forwarded Ports: 8766","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Notifications","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sign In","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Info: Setting up SSH Host nas: Setting up SSH tunnel","depth":12,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Implement and run pipe logic","depth":19,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":19,"on_screen":true,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":19,"on_screen":true,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"main.py","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lets implement logic with pipes. how can I run it?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me look at the current project structure to understand what's already in place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"}]...
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idle
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accessibility
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash...
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21072
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920
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6
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2026-05-11T17:09:18.712171+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519358712_m1.jpg...
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Code
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Implement and run pipe l… — screenpipe [SSH: nas]
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True
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monitor_1
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard...
|
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actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"main.py","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lets implement logic with pipes. how can I run it?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me look at the current project structure to understand what's already in place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\nfeatured: true\n---\n\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## AI Tools Used\n- List each tool with approximate time spent (e.g. \"Claude: ~45min\")\n\n## What I Used Them For\n- For each tool: coding, writing, research, or brainstorming\n\n## Usage Patterns\n- Do I switch between tools? Use them in bursts or steadily?\n\n## Effectiveness\n- Which tool appeared alongside completed work vs. abandoned attempts\n\nIf no AI usage is found, say so clearly. End with: \"**Tip:** [one suggestion to use AI tools more effectively]\"\n\n=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n\n=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.\n\n=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\nfeatured: true\n---\n\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Yesterday\n- What I worked on (name specific projects, files, tools, PRs)\n\n## Today\n- What I will work on next (based on unfinished tasks and recent activity)\n\n## Blockers\n- Issues I hit — errors, slow builds, waiting on someone\n- If no blockers, write \"None\"\n\nKeep it under 150 words. Copy-paste ready for a team standup.\n\n=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Time Breakdown\ndescription: \"Where your time went — by app, project, and category\"\nicon: \"⏱\"\nfeatured: false\n---\n\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\n\nRead screenpipe skill first.\n\nUse this exact format with durations and percentages:\n\n## By Application\n- List each app with duration and percentage, sorted by time (e.g. \"VS Code: 2h 15min (28%)\")\n\n## By Category\n- Group into: coding, meetings, browsing, writing, communication, other\n- Show hours and percentage per category\n\n## By Project\n- Group related activities by project/topic. Name specific repos or tasks.\n\n## Productivity Score\n- Calculate: focused_work_hours / total_hours as a percentage\n- Focused = coding + writing. Unfocused = browsing + switching.\n\nEnd with: \"**Suggestion:** [one specific change to improve tomorrow's productivity]\"\n\n=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\nfeatured: false\n---\n\nExport a video of my screen activity from the last 5 minutes.\n\nRead screenpipe skill first.\n\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\n\nIf the export is large, suggest a lower fps or shorter time range.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"GET /api/pipes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /api/pipes/{pipe_id}/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— a","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"command to run pipes from the terminal","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me build it:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check browser_urls signature","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/consumers/activity.py | grep \"def browser_urls\" -A 5","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"def browser_urls(\n for_date: date | None = None,\n app_name: str | None = None,\n ts_from: str | None = None,\n ts_to: str | None = None,\n limit: int = 30,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"pipes.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipes.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"143 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"\"\"Dynamic pipe loader and runner.\"\"\"\nimport os\nimport re\nfrom datetime import date\nfrom pathlib import Path\nfrom typing import Any\n\n\ndef _parse_frontmatter(text: str) -> tuple[dict, str]:\n if not text.startswith(\"---\"):\n return {}, text\n try:\n end = text.index(\"---\", 3)\n except ValueError:\n return {}, text\n fm_text = text[3:end].strip()\n body = text[end + 3:].strip()\n meta: dict = {}\n for line in fm_text.splitlines():\n if \":\" in line:\n k, _, v = line.partition(\":\")\n meta[k.strip()] = v.strip().strip('\"')\n return meta, body\n\n\ndef load_pipes(pipes_dir: Path) -> list[dict]:\n if not pipes_dir.exists():\n return []\n pipes = []\n for pipe_dir in sorted(pipes_dir.iterdir()):\n if not pipe_dir.is_dir() or pipe_dir.name.startswith(\".\"):\n continue\n pipe_md = pipe_dir / \"pipe.md\"\n if not pipe_md.exists():\n continue\n text = pipe_md.read_text(encoding=\"utf-8\")\n meta, body = _parse_frontmatter(text)\n if meta.get(\"enabled\", \"true\").lower() == \"false\":\n continue\n body = re.sub(r\"Read screenpipe skill first\\.?\\n?\", \"\", body).strip()\n pipes.append({\n \"id\": pipe_dir.name,\n \"title\": meta.get(\"title\", pipe_dir.name),\n \"description\": meta.get(\"description\", \"\"),\n \"icon\": meta.get(\"icon\", \"\"),\n \"schedule\": meta.get(\"schedule\", \"manual\"),\n \"featured\": meta.get(\"featured\", \"false\").lower() == \"true\",\n \"prompt\": body,\n })\n return pipes\n\n\ndef _build_system(d: date, stats: dict) -> str:\n from consumers.activity import app_time, browser_urls, ui_event_summary\n from consumers.ocr import deduplicated_text\n from consumers.audio import formatted_transcript\n\n apps = app_time(d)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(d, limit=20)\n url_lines = \"\\n\".join(f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls)\n\n ui_rows = ui_event_summary(d)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(d, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(d)\n if len(audio) > 3000:\n audio = audio[:3000]\n\n return f\"\"\"You are analyzing screenpipe data — recordings of a person's computer activity.\n\n## App usage (minutes per app):\n{app_lines or '(no app data)'}\n\n## Browser URLs visited:\n{url_lines or '(no browser data)'}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_lines or '(no UI event data)'}\n\n## Screen content (sampled every 5 minutes):\n{ocr_lines or '(no screen data)'}\n\n## Audio / speech:\n{audio or '(no audio data)'}\n\nDate: {d}\nTotal frames recorded: {stats['total_frames']}\"\"\"\n\n\ndef run_pipe(\n pipe_id: str,\n for_date: date | None = None,\n api_key: str | None = None,\n pipes_dir: Path | None = None,\n) -> dict[str, Any]:\n import anthropic\n from consumers.activity import summary_stats\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\"title\": \"Error\", \"content\": \"ANTHROPIC_API_KEY not set.\", \"date\": str(d)}\n\n _pipes_dir = pipes_dir or Path(os.environ.get(\"PIPES_DIR\", \"/data/pipes\"))\n all_pipes = {p[\"id\"]: p for p in load_pipes(_pipes_dir)}\n\n if pipe_id not in all_pipes:\n return {\"title\": \"Error\", \"content\": f\"Pipe not found: {pipe_id}\", \"date\": str(d)}\n\n pipe = all_pipes[pipe_id]\n stats = summary_stats(d)\n\n if stats[\"total_frames\"] == 0:\n return {\"title\": pipe[\"title\"], \"content\": f\"No screen data found for {d}.\", \"date\": str(d)}\n\n system = _build_system(d, stats)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n system=system,\n messages=[{\"role\": \"user\", \"content\": pipe[\"prompt\"]}],\n )\n\n return {\n \"title\": pipe[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the API endpoints to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the pipe endpoints at the end of main.py, before the closing summary section:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 14 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the CLI command to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 40 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Done. Here's how to run pipes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to run pipes","depth":22,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to run pipes","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via Docker (inside the running container):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"docker exec -it screenpipe-app python cli.py pipe --list\ndocker exec -it screenpipe-app python cli.py pipe day-recap\ndocker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(once the container is running on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List pipes\ncurl http://localhost:8766/api/pipes\n\n# Run a pipe\ncurl -X POST \"http://localhost:8766/api/pipes/day-recap/run\"\ncurl -X POST \"http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25\"","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Rebuild and restart","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to pick up the changes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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3052796390275798323
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idle
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accessibility
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NULL
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard...
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2026-05-11T17:09:49.076795+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519389076_m1.jpg...
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Code
|
Implement and run pipe l… — screenpipe [SSH: nas]
|
True
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monitor_1
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NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
How it works:
Each
pipe.md
file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The "Read screenpipe skill first" line is stripped automatically.
The pipes directory inside Docker is
/data/pipes
(since
/volume1/screenpipe
→
/data
). You can override it with a
PIPES_DIR
env var if needed.
Message actions
pipe.md
pipe.md
where to place api key and can I use different keys
Thinking
Thinking
Bash
Read .env file
IN
cat /volume1/screenpipe/app/.env
Copy code to clipboard
OUT
[ENV_SECRET]
Where to place the key:
app/.env
app/.env
— replace
your_key_here
with your actual key:
Copy code to clipboard
[ENV_SECRET]
That file is loaded by
load_dotenv()
at startup and is excluded from git via
.gitignore
.
Can you use different keys per pipe?
Not currently — all pipes share the one key from
.env
. But you can add per-pipe key support by adding an
api_key
field to the pipe's frontmatter:
Copy code to clipboard
---
title: Meeting Summary
api_key_env: ANTHROPIC_KEY_MEETINGS
---
Then in
consumers/pipes.py
consumers/pipes.py
, read it in...
|
[{"role":"AXRadioButton","text [{"role":"AXRadioButton","text":"Explorer (⇧⌘E)","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Search (⇧⌘F)","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Source Control (⌃⇧G) - 10 pending changes","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"10","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Run and Debug (⇧⌘D)","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Remote Explorer","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Extensions (⇧⌘X) - 2 require update","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"2","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Claude Code","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"Containers","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"EXPLORER","depth":17,"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"EXPLORER","depth":18,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Explorer Section: screenpipe [SSH: 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Problems","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Forwarded Ports: 8766","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Notifications","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sign In","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Info: Setting up SSH Host nas: Setting up SSH tunnel","depth":12,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Implement and run pipe logic","depth":19,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":19,"on_screen":true,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":19,"on_screen":true,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"main.py","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lets implement logic with pipes. how can I run it?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me look at the current project structure to understand what's already in place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\nfeatured: true\n---\n\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## AI Tools Used\n- List each tool with approximate time spent (e.g. \"Claude: ~45min\")\n\n## What I Used Them For\n- For each tool: coding, writing, research, or brainstorming\n\n## Usage Patterns\n- Do I switch between tools? Use them in bursts or steadily?\n\n## Effectiveness\n- Which tool appeared alongside completed work vs. abandoned attempts\n\nIf no AI usage is found, say so clearly. End with: \"**Tip:** [one suggestion to use AI tools more effectively]\"\n\n=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n\n=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.\n\n=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\nfeatured: true\n---\n\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Yesterday\n- What I worked on (name specific projects, files, tools, PRs)\n\n## Today\n- What I will work on next (based on unfinished tasks and recent activity)\n\n## Blockers\n- Issues I hit — errors, slow builds, waiting on someone\n- If no blockers, write \"None\"\n\nKeep it under 150 words. Copy-paste ready for a team standup.\n\n=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Time Breakdown\ndescription: \"Where your time went — by app, project, and category\"\nicon: \"⏱\"\nfeatured: false\n---\n\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\n\nRead screenpipe skill first.\n\nUse this exact format with durations and percentages:\n\n## By Application\n- List each app with duration and percentage, sorted by time (e.g. \"VS Code: 2h 15min (28%)\")\n\n## By Category\n- Group into: coding, meetings, browsing, writing, communication, other\n- Show hours and percentage per category\n\n## By Project\n- Group related activities by project/topic. Name specific repos or tasks.\n\n## Productivity Score\n- Calculate: focused_work_hours / total_hours as a percentage\n- Focused = coding + writing. Unfocused = browsing + switching.\n\nEnd with: \"**Suggestion:** [one specific change to improve tomorrow's productivity]\"\n\n=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\nfeatured: false\n---\n\nExport a video of my screen activity from the last 5 minutes.\n\nRead screenpipe skill first.\n\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\n\nIf the export is large, suggest a lower fps or shorter time range.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"GET /api/pipes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /api/pipes/{pipe_id}/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— a","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"command to run pipes from the terminal","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me build it:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check browser_urls signature","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/consumers/activity.py | grep \"def browser_urls\" -A 5","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"def browser_urls(\n for_date: date | None = None,\n app_name: str | None = None,\n ts_from: str | None = None,\n ts_to: str | None = None,\n limit: int = 30,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"pipes.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipes.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"143 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"\"\"Dynamic pipe loader and runner.\"\"\"\nimport os\nimport re\nfrom datetime import date\nfrom pathlib import Path\nfrom typing import Any\n\n\ndef _parse_frontmatter(text: str) -> tuple[dict, str]:\n if not text.startswith(\"---\"):\n return {}, text\n try:\n end = text.index(\"---\", 3)\n except ValueError:\n return {}, text\n fm_text = text[3:end].strip()\n body = text[end + 3:].strip()\n meta: dict = {}\n for line in fm_text.splitlines():\n if \":\" in line:\n k, _, v = line.partition(\":\")\n meta[k.strip()] = v.strip().strip('\"')\n return meta, body\n\n\ndef load_pipes(pipes_dir: Path) -> list[dict]:\n if not pipes_dir.exists():\n return []\n pipes = []\n for pipe_dir in sorted(pipes_dir.iterdir()):\n if not pipe_dir.is_dir() or pipe_dir.name.startswith(\".\"):\n continue\n pipe_md = pipe_dir / \"pipe.md\"\n if not pipe_md.exists():\n continue\n text = pipe_md.read_text(encoding=\"utf-8\")\n meta, body = _parse_frontmatter(text)\n if meta.get(\"enabled\", \"true\").lower() == \"false\":\n continue\n body = re.sub(r\"Read screenpipe skill first\\.?\\n?\", \"\", body).strip()\n pipes.append({\n \"id\": pipe_dir.name,\n \"title\": meta.get(\"title\", pipe_dir.name),\n \"description\": meta.get(\"description\", \"\"),\n \"icon\": meta.get(\"icon\", \"\"),\n \"schedule\": meta.get(\"schedule\", \"manual\"),\n \"featured\": meta.get(\"featured\", \"false\").lower() == \"true\",\n \"prompt\": body,\n })\n return pipes\n\n\ndef _build_system(d: date, stats: dict) -> str:\n from consumers.activity import app_time, browser_urls, ui_event_summary\n from consumers.ocr import deduplicated_text\n from consumers.audio import formatted_transcript\n\n apps = app_time(d)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(d, limit=20)\n url_lines = \"\\n\".join(f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls)\n\n ui_rows = ui_event_summary(d)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(d, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(d)\n if len(audio) > 3000:\n audio = audio[:3000]\n\n return f\"\"\"You are analyzing screenpipe data — recordings of a person's computer activity.\n\n## App usage (minutes per app):\n{app_lines or '(no app data)'}\n\n## Browser URLs visited:\n{url_lines or '(no browser data)'}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_lines or '(no UI event data)'}\n\n## Screen content (sampled every 5 minutes):\n{ocr_lines or '(no screen data)'}\n\n## Audio / speech:\n{audio or '(no audio data)'}\n\nDate: {d}\nTotal frames recorded: {stats['total_frames']}\"\"\"\n\n\ndef run_pipe(\n pipe_id: str,\n for_date: date | None = None,\n api_key: str | None = None,\n pipes_dir: Path | None = None,\n) -> dict[str, Any]:\n import anthropic\n from consumers.activity import summary_stats\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\"title\": \"Error\", \"content\": \"ANTHROPIC_API_KEY not set.\", \"date\": str(d)}\n\n _pipes_dir = pipes_dir or Path(os.environ.get(\"PIPES_DIR\", \"/data/pipes\"))\n all_pipes = {p[\"id\"]: p for p in load_pipes(_pipes_dir)}\n\n if pipe_id not in all_pipes:\n return {\"title\": \"Error\", \"content\": f\"Pipe not found: {pipe_id}\", \"date\": str(d)}\n\n pipe = all_pipes[pipe_id]\n stats = summary_stats(d)\n\n if stats[\"total_frames\"] == 0:\n return {\"title\": pipe[\"title\"], \"content\": f\"No screen data found for {d}.\", \"date\": str(d)}\n\n system = _build_system(d, stats)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n system=system,\n messages=[{\"role\": \"user\", \"content\": pipe[\"prompt\"]}],\n )\n\n return {\n \"title\": pipe[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the API endpoints to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the pipe endpoints at the end of main.py, before the closing summary section:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 14 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the CLI command to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 40 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Done. Here's how to run pipes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to run pipes","depth":22,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to run pipes","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via Docker (inside the running container):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"docker exec -it screenpipe-app python cli.py pipe --list\ndocker exec -it screenpipe-app python cli.py pipe day-recap\ndocker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(once the container is running on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List pipes\ncurl http://localhost:8766/api/pipes\n\n# Run a pipe\ncurl -X POST \"http://localhost:8766/api/pipes/day-recap/run\"\ncurl -X POST \"http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25\"","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Rebuild and restart","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to pick up the changes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app\ndocker compose up --build -d","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"How it works:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Each","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The \"Read screenpipe skill first\" line is stripped automatically.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The pipes directory inside Docker is","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data/pipes","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(since","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). You can override it with a","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PIPES_DIR","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"env var if needed.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"where to place api key and can I use different keys","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read .env file","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/.env","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Where to place the key:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"app/.env","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"app/.env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— replace","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with your actual key:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=sk-ant-...","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"That file is loaded by","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"load_dotenv()","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"at startup and is excluded from git via","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".gitignore","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Can you use different keys per pipe?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Not currently — all pipes share the one key from","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". But you can add per-pipe key support by adding an","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"api_key","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"field to the pipe's frontmatter:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"---\ntitle: Meeting Summary\napi_key_env: ANTHROPIC_KEY_MEETINGS\n---","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Then in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/pipes.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", read it in","depth":23,"on_screen":false,"role_description":"text"}]...
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-1871827330026221506
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-8763496496607803156
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idle
|
accessibility
|
NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
How it works:
Each
pipe.md
file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The "Read screenpipe skill first" line is stripped automatically.
The pipes directory inside Docker is
/data/pipes
(since
/volume1/screenpipe
→
/data
). You can override it with a
PIPES_DIR
env var if needed.
Message actions
pipe.md
pipe.md
where to place api key and can I use different keys
Thinking
Thinking
Bash
Read .env file
IN
cat /volume1/screenpipe/app/.env
Copy code to clipboard
OUT
[ENV_SECRET]
Where to place the key:
app/.env
app/.env
— replace
your_key_here
with your actual key:
Copy code to clipboard
[ENV_SECRET]
That file is loaded by
load_dotenv()
at startup and is excluded from git via
.gitignore
.
Can you use different keys per pipe?
Not currently — all pipes share the one key from
.env
. But you can add per-pipe key support by adding an
api_key
field to the pipe's frontmatter:
Copy code to clipboard
---
title: Meeting Summary
api_key_env: ANTHROPIC_KEY_MEETINGS
---
Then in
consumers/pipes.py
consumers/pipes.py
, read it in...
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NULL
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NULL
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NULL
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NULL
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21076
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920
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8
|
2026-05-11T17:10:19.434338+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519419434_m1.jpg...
|
Code
|
Implement and run pipe l… — screenpipe [SSH: nas]
|
True
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NULL
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monitor_1
|
NULL
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NULL
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NULL
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NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
How it works:
Each
pipe.md
file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The "Read screenpipe skill first" line is stripped automatically.
The pipes directory inside Docker is
/data/pipes
(since
/volume1/screenpipe
→
/data
). You can override it with a
PIPES_DIR
env var if needed.
Message actions
pipe.md
pipe.md
where to place api key and can I use different keys
Thinking
Thinking
Bash
Read .env file
IN
cat /volume1/screenpipe/app/.env
Copy code to clipboard
OUT
[ENV_SECRET]
Where to place the key:
app/.env
app/.env
— replace
your_key_here
with your actual key:
Copy code to clipboard
[ENV_SECRET]
That file is loaded by
load_dotenv()
at startup and is excluded from git via
.gitignore
.
Can you use different keys per pipe?
Not currently — all pipes share the one key from
.env
. But you can add per-pipe key support by adding an
api_key
field to the pipe's frontmatter:
Copy code to clipboard
---
title: Meeting Summary
api_key_env: ANTHROPIC_KEY_MEETINGS
---
Then in
consumers/pipes.py
consumers/pipes.py
, read it in
_parse_frontmatter
and pass it through
run_pipe
. Want me to add that?
Message actions
pipe.md
pipe.md
can I use mistral or other llm? or is is build for antrophic only
Thinking
Thinking
Currently it's Anthropic-only — the code calls the
anthropic
SDK directly in both
consumers/pipes.py
consumers/pipes.py
and
consumers/summary.py
consumers/summary.py
.
Adding other providers is straightforward since Mistral, Ollama, OpenRouter, Groq, and most modern LLMs expose an OpenAI-compatible API. The cleanest approach: add the
openai
package and let you configure the provider via
.env
:
Copy code to clipboard
# Anthropic (default)
[ENV_SECRET]
# OR: any OpenAI-compatible provider
LLM_PROVIDER=openai-compatible
LLM_BASE_URL=https://api.mistral.ai/v1
[ENV_SECRET]
LLM_MODEL=mistral-small-latest
This would cover Mistral, Ollama (
http://localhost:11434/v1
), OpenRouter, Groq, etc. with one code path.
Want me to implement that? It's a small change — a
_call_llm(system, user_prompt)
helper in
pipes.py
that branches on
LLM_PROVIDER
, and
openai
added to
requirements.txt
.
Message actions
lets test it with anthropic first, how to run pipe
Thinking
Thinking
Bash
Check if container is running
IN
cd /volume1/screenpipe/app && docker compose ps 2>/dev/null || docker ps --filter name=screenpipe
Copy code to clipboard
OUT
Exit code 1
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?filters=%7B%22name%22%3A%7B%22screenpipe%22%3Atrue%7D%7D": dial unix /var/run/docker.sock: connect: permission denied
I don't have Docker socket access, so you'll need to run these yourself. Here are your options:
Option A — via Docker (if container is already running):
Copy code to clipboard
# List available pipes
docker exec -it screenpipe-app python cli.py pipe --list
# Run a specific pipe
docker exec -it screenpipe-app python cli.py pipe day-recap
Option B — rebuild first (since we added new files), then run:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
docker exec -it screenpipe-app python cli.py pipe day-recap
Option C — via the API
(if container is up on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST http://localhost:8766/api/pipes/day-recap/run
The...
|
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Problems","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Forwarded Ports: 8766","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Notifications","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sign In","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Info: Setting up SSH Host nas: Setting up SSH tunnel","depth":12,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Implement and run pipe logic","depth":19,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":19,"on_screen":true,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":19,"on_screen":true,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"main.py","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lets implement logic with pipes. how can I run it?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me look at the current project structure to understand what's already in place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\nfeatured: true\n---\n\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## AI Tools Used\n- List each tool with approximate time spent (e.g. \"Claude: ~45min\")\n\n## What I Used Them For\n- For each tool: coding, writing, research, or brainstorming\n\n## Usage Patterns\n- Do I switch between tools? Use them in bursts or steadily?\n\n## Effectiveness\n- Which tool appeared alongside completed work vs. abandoned attempts\n\nIf no AI usage is found, say so clearly. End with: \"**Tip:** [one suggestion to use AI tools more effectively]\"\n\n=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n\n=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.\n\n=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\nfeatured: true\n---\n\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Yesterday\n- What I worked on (name specific projects, files, tools, PRs)\n\n## Today\n- What I will work on next (based on unfinished tasks and recent activity)\n\n## Blockers\n- Issues I hit — errors, slow builds, waiting on someone\n- If no blockers, write \"None\"\n\nKeep it under 150 words. Copy-paste ready for a team standup.\n\n=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Time Breakdown\ndescription: \"Where your time went — by app, project, and category\"\nicon: \"⏱\"\nfeatured: false\n---\n\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\n\nRead screenpipe skill first.\n\nUse this exact format with durations and percentages:\n\n## By Application\n- List each app with duration and percentage, sorted by time (e.g. \"VS Code: 2h 15min (28%)\")\n\n## By Category\n- Group into: coding, meetings, browsing, writing, communication, other\n- Show hours and percentage per category\n\n## By Project\n- Group related activities by project/topic. Name specific repos or tasks.\n\n## Productivity Score\n- Calculate: focused_work_hours / total_hours as a percentage\n- Focused = coding + writing. Unfocused = browsing + switching.\n\nEnd with: \"**Suggestion:** [one specific change to improve tomorrow's productivity]\"\n\n=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\nfeatured: false\n---\n\nExport a video of my screen activity from the last 5 minutes.\n\nRead screenpipe skill first.\n\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\n\nIf the export is large, suggest a lower fps or shorter time range.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"GET /api/pipes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /api/pipes/{pipe_id}/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— a","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"command to run pipes from the terminal","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me build it:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check browser_urls signature","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/consumers/activity.py | grep \"def browser_urls\" -A 5","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"def browser_urls(\n for_date: date | None = None,\n app_name: str | None = None,\n ts_from: str | None = None,\n ts_to: str | None = None,\n limit: int = 30,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"pipes.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipes.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"143 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"\"\"Dynamic pipe loader and runner.\"\"\"\nimport os\nimport re\nfrom datetime import date\nfrom pathlib import Path\nfrom typing import Any\n\n\ndef _parse_frontmatter(text: str) -> tuple[dict, str]:\n if not text.startswith(\"---\"):\n return {}, text\n try:\n end = text.index(\"---\", 3)\n except ValueError:\n return {}, text\n fm_text = text[3:end].strip()\n body = text[end + 3:].strip()\n meta: dict = {}\n for line in fm_text.splitlines():\n if \":\" in line:\n k, _, v = line.partition(\":\")\n meta[k.strip()] = v.strip().strip('\"')\n return meta, body\n\n\ndef load_pipes(pipes_dir: Path) -> list[dict]:\n if not pipes_dir.exists():\n return []\n pipes = []\n for pipe_dir in sorted(pipes_dir.iterdir()):\n if not pipe_dir.is_dir() or pipe_dir.name.startswith(\".\"):\n continue\n pipe_md = pipe_dir / \"pipe.md\"\n if not pipe_md.exists():\n continue\n text = pipe_md.read_text(encoding=\"utf-8\")\n meta, body = _parse_frontmatter(text)\n if meta.get(\"enabled\", \"true\").lower() == \"false\":\n continue\n body = re.sub(r\"Read screenpipe skill first\\.?\\n?\", \"\", body).strip()\n pipes.append({\n \"id\": pipe_dir.name,\n \"title\": meta.get(\"title\", pipe_dir.name),\n \"description\": meta.get(\"description\", \"\"),\n \"icon\": meta.get(\"icon\", \"\"),\n \"schedule\": meta.get(\"schedule\", \"manual\"),\n \"featured\": meta.get(\"featured\", \"false\").lower() == \"true\",\n \"prompt\": body,\n })\n return pipes\n\n\ndef _build_system(d: date, stats: dict) -> str:\n from consumers.activity import app_time, browser_urls, ui_event_summary\n from consumers.ocr import deduplicated_text\n from consumers.audio import formatted_transcript\n\n apps = app_time(d)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(d, limit=20)\n url_lines = \"\\n\".join(f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls)\n\n ui_rows = ui_event_summary(d)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(d, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(d)\n if len(audio) > 3000:\n audio = audio[:3000]\n\n return f\"\"\"You are analyzing screenpipe data — recordings of a person's computer activity.\n\n## App usage (minutes per app):\n{app_lines or '(no app data)'}\n\n## Browser URLs visited:\n{url_lines or '(no browser data)'}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_lines or '(no UI event data)'}\n\n## Screen content (sampled every 5 minutes):\n{ocr_lines or '(no screen data)'}\n\n## Audio / speech:\n{audio or '(no audio data)'}\n\nDate: {d}\nTotal frames recorded: {stats['total_frames']}\"\"\"\n\n\ndef run_pipe(\n pipe_id: str,\n for_date: date | None = None,\n api_key: str | None = None,\n pipes_dir: Path | None = None,\n) -> dict[str, Any]:\n import anthropic\n from consumers.activity import summary_stats\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\"title\": \"Error\", \"content\": \"ANTHROPIC_API_KEY not set.\", \"date\": str(d)}\n\n _pipes_dir = pipes_dir or Path(os.environ.get(\"PIPES_DIR\", \"/data/pipes\"))\n all_pipes = {p[\"id\"]: p for p in load_pipes(_pipes_dir)}\n\n if pipe_id not in all_pipes:\n return {\"title\": \"Error\", \"content\": f\"Pipe not found: {pipe_id}\", \"date\": str(d)}\n\n pipe = all_pipes[pipe_id]\n stats = summary_stats(d)\n\n if stats[\"total_frames\"] == 0:\n return {\"title\": pipe[\"title\"], \"content\": f\"No screen data found for {d}.\", \"date\": str(d)}\n\n system = _build_system(d, stats)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n system=system,\n messages=[{\"role\": \"user\", \"content\": pipe[\"prompt\"]}],\n )\n\n return {\n \"title\": pipe[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the API endpoints to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the pipe endpoints at the end of main.py, before the closing summary section:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 14 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the CLI command to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 40 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Done. Here's how to run pipes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to run pipes","depth":22,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to run pipes","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via Docker (inside the running container):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"docker exec -it screenpipe-app python cli.py pipe --list\ndocker exec -it screenpipe-app python cli.py pipe day-recap\ndocker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(once the container is running on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List pipes\ncurl http://localhost:8766/api/pipes\n\n# Run a pipe\ncurl -X POST \"http://localhost:8766/api/pipes/day-recap/run\"\ncurl -X POST \"http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25\"","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Rebuild and restart","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to pick up the changes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app\ndocker compose up --build -d","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"How it works:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Each","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The \"Read screenpipe skill first\" line is stripped automatically.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The pipes directory inside Docker is","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data/pipes","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(since","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). You can override it with a","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PIPES_DIR","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"env var if needed.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"where to place api key and can I use different keys","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read .env file","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/.env","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Where to place the key:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"app/.env","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"app/.env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— replace","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with your actual key:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=sk-ant-...","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"That file is loaded by","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"load_dotenv()","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"at startup and is excluded from git via","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".gitignore","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Can you use different keys per pipe?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Not currently — all pipes share the one key from","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". But you can add per-pipe key support by adding an","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"api_key","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"field to the pipe's frontmatter:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"---\ntitle: Meeting Summary\napi_key_env: ANTHROPIC_KEY_MEETINGS\n---","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Then in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/pipes.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", read it in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"_parse_frontmatter","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and pass it through","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"run_pipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". Want me to add that?","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"can I use mistral or other llm? or is is build for antrophic only","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Currently it's Anthropic-only — the code calls the","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"anthropic","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SDK directly in both","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/pipes.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/summary.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Adding other providers is straightforward since Mistral, Ollama, OpenRouter, Groq, and most modern LLMs expose an OpenAI-compatible API. The cleanest approach: add the","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"openai","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"package and let you configure the provider via","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# Anthropic (default)\nANTHROPIC_API_KEY=sk-ant-...\n\n# OR: any OpenAI-compatible provider\nLLM_PROVIDER=openai-compatible\nLLM_BASE_URL=https://api.mistral.ai/v1\nLLM_API_KEY=your-mistral-key\nLLM_MODEL=mistral-small-latest","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"This would cover Mistral, Ollama (","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"http://localhost:11434/v1","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"), OpenRouter, Groq, etc. with one code path.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Want me to implement that? It's a small change — a","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"_call_llm(system, user_prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"helper in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"that branches on","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"LLM_PROVIDER","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", and","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"openai","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"added to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"lets test it with anthropic first, how to run pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check if container is running","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app && docker compose ps 2>/dev/null || docker ps --filter name=screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Exit code 1\npermission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get \"http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?filters=%7B%22name%22%3A%7B%22screenpipe%22%3Atrue%7D%7D\": dial unix /var/run/docker.sock: connect: permission denied","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"I don't have Docker socket access, so you'll need to run these yourself. Here are your options:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option A — via Docker (if container is already running):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List available pipes\ndocker exec -it screenpipe-app python cli.py pipe --list\n\n# Run a specific pipe\ndocker exec -it screenpipe-app python cli.py pipe day-recap","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option B — rebuild first (since we added new files), then run:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app\ndocker compose up --build -d\ndocker exec -it screenpipe-app python cli.py pipe day-recap","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Option C — via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(if container is up on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List pipes\ncurl http://localhost:8766/api/pipes\n\n# Run a pipe\ncurl -X POST http://localhost:8766/api/pipes/day-recap/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The","depth":23,"on_screen":false,"role_description":"text"}]...
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6323534583109777491
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-8340439615201620792
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idle
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accessibility
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NULL
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
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OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
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OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
How it works:
Each
pipe.md
file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The "Read screenpipe skill first" line is stripped automatically.
The pipes directory inside Docker is
/data/pipes
(since
/volume1/screenpipe
→
/data
). You can override it with a
PIPES_DIR
env var if needed.
Message actions
pipe.md
pipe.md
where to place api key and can I use different keys
Thinking
Thinking
Bash
Read .env file
IN
cat /volume1/screenpipe/app/.env
Copy code to clipboard
OUT
[ENV_SECRET]
Where to place the key:
app/.env
app/.env
— replace
your_key_here
with your actual key:
Copy code to clipboard
[ENV_SECRET]
That file is loaded by
load_dotenv()
at startup and is excluded from git via
.gitignore
.
Can you use different keys per pipe?
Not currently — all pipes share the one key from
.env
. But you can add per-pipe key support by adding an
api_key
field to the pipe's frontmatter:
Copy code to clipboard
---
title: Meeting Summary
api_key_env: ANTHROPIC_KEY_MEETINGS
---
Then in
consumers/pipes.py
consumers/pipes.py
, read it in
_parse_frontmatter
and pass it through
run_pipe
. Want me to add that?
Message actions
pipe.md
pipe.md
can I use mistral or other llm? or is is build for antrophic only
Thinking
Thinking
Currently it's Anthropic-only — the code calls the
anthropic
SDK directly in both
consumers/pipes.py
consumers/pipes.py
and
consumers/summary.py
consumers/summary.py
.
Adding other providers is straightforward since Mistral, Ollama, OpenRouter, Groq, and most modern LLMs expose an OpenAI-compatible API. The cleanest approach: add the
openai
package and let you configure the provider via
.env
:
Copy code to clipboard
# Anthropic (default)
[ENV_SECRET]
# OR: any OpenAI-compatible provider
LLM_PROVIDER=openai-compatible
LLM_BASE_URL=https://api.mistral.ai/v1
[ENV_SECRET]
LLM_MODEL=mistral-small-latest
This would cover Mistral, Ollama (
http://localhost:11434/v1
), OpenRouter, Groq, etc. with one code path.
Want me to implement that? It's a small change — a
_call_llm(system, user_prompt)
helper in
pipes.py
that branches on
LLM_PROVIDER
, and
openai
added to
requirements.txt
.
Message actions
lets test it with anthropic first, how to run pipe
Thinking
Thinking
Bash
Check if container is running
IN
cd /volume1/screenpipe/app && docker compose ps 2>/dev/null || docker ps --filter name=screenpipe
Copy code to clipboard
OUT
Exit code 1
permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.45/containers/json?filters=%7B%22name%22%3A%7B%22screenpipe%22%3Atrue%7D%7D": dial unix /var/run/docker.sock: connect: permission denied
I don't have Docker socket access, so you'll need to run these yourself. Here are your options:
Option A — via Docker (if container is already running):
Copy code to clipboard
# List available pipes
docker exec -it screenpipe-app python cli.py pipe --list
# Run a specific pipe
docker exec -it screenpipe-app python cli.py pipe day-recap
Option B — rebuild first (since we added new files), then run:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
docker exec -it screenpipe-app python cli.py pipe day-recap
Option C — via the API
(if container is up on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST http://localhost:8766/api/pipes/day-recap/run
The...
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Implement and run pipe l… — screenpipe [SSH: nas]
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
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OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
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OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
How it works:
Each
pipe.md
file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The "Read screenpipe skill first" line is stripped automatically.
The pipes directory inside Docker is
/data/pipes...
|
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Branch/Tag...","depth":16,"bounds":{"left":0.030917553,"top":0.98244214,"width":0.023271276,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.031914894,"top":0.9848364,"width":0.005319149,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"master*","depth":17,"bounds":{"left":0.03723404,"top":0.9856345,"width":0.015957447,"height":0.011173184},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.03723404,"top":0.9856345,"width":0.0013297872,"height":0.011173184}},{"char_start":1,"char_count":6,"bounds":{"left":0.03856383,"top":0.9856345,"width":0.012965426,"height":0.011173184}}],"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - Synchronize Changes","depth":16,"bounds":{"left":0.05418883,"top":0.98244214,"width":0.00731383,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"No Problems","depth":16,"bounds":{"left":0.06416223,"top":0.98244214,"width":0.022606382,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.06582447,"top":0.9848364,"width":0.005319149,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"bounds":{"left":0.07114362,"top":0.9856345,"width":0.004986702,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.07579787,"top":0.9848364,"width":0.0056515955,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"bounds":{"left":0.08111702,"top":0.9856345,"width":0.0039893617,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Forwarded Ports: 8766","depth":16,"bounds":{"left":0.08843085,"top":0.98244214,"width":0.012632979,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.09009308,"top":0.9848364,"width":0.0056515955,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":17,"bounds":{"left":0.09541223,"top":0.9856345,"width":0.0039893617,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Notifications","depth":16,"bounds":{"left":0.9886968,"top":0.98244214,"width":0.010638298,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sign In","depth":16,"bounds":{"left":0.9650931,"top":0.98244214,"width":0.022606382,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.96675533,"top":0.9848364,"width":0.0056515955,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"bounds":{"left":0.97207445,"top":0.9856345,"width":0.013962766,"height":0.011173184},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.97207445,"top":0.9856345,"width":0.0013297872,"height":0.011173184}},{"char_start":1,"char_count":6,"bounds":{"left":0.9734042,"top":0.9856345,"width":0.010638298,"height":0.011173184}}],"role_description":"text"},{"role":"AXStaticText","text":"Info: Setting up SSH Host nas: Setting up SSH tunnel","depth":12,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Implement and run pipe logic","depth":19,"bounds":{"left":0.56017286,"top":0.08060654,"width":0.07114362,"height":0.022346368},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":19,"bounds":{"left":0.9780585,"top":0.08060654,"width":0.00930851,"height":0.022346368},"on_screen":true,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":19,"bounds":{"left":0.9886968,"top":0.08060654,"width":0.00930851,"height":0.022346368},"on_screen":true,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"main.py","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lets implement logic with pipes. how can I run it?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me look at the current project structure to understand what's already in place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\nfeatured: true\n---\n\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## AI Tools Used\n- List each tool with approximate time spent (e.g. \"Claude: ~45min\")\n\n## What I Used Them For\n- For each tool: coding, writing, research, or brainstorming\n\n## Usage Patterns\n- Do I switch between tools? Use them in bursts or steadily?\n\n## Effectiveness\n- Which tool appeared alongside completed work vs. abandoned attempts\n\nIf no AI usage is found, say so clearly. End with: \"**Tip:** [one suggestion to use AI tools more effectively]\"\n\n=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n\n=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.\n\n=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\nfeatured: true\n---\n\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Yesterday\n- What I worked on (name specific projects, files, tools, PRs)\n\n## Today\n- What I will work on next (based on unfinished tasks and recent activity)\n\n## Blockers\n- Issues I hit — errors, slow builds, waiting on someone\n- If no blockers, write \"None\"\n\nKeep it under 150 words. Copy-paste ready for a team standup.\n\n=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Time Breakdown\ndescription: \"Where your time went — by app, project, and category\"\nicon: \"⏱\"\nfeatured: false\n---\n\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\n\nRead screenpipe skill first.\n\nUse this exact format with durations and percentages:\n\n## By Application\n- List each app with duration and percentage, sorted by time (e.g. \"VS Code: 2h 15min (28%)\")\n\n## By Category\n- Group into: coding, meetings, browsing, writing, communication, other\n- Show hours and percentage per category\n\n## By Project\n- Group related activities by project/topic. Name specific repos or tasks.\n\n## Productivity Score\n- Calculate: focused_work_hours / total_hours as a percentage\n- Focused = coding + writing. Unfocused = browsing + switching.\n\nEnd with: \"**Suggestion:** [one specific change to improve tomorrow's productivity]\"\n\n=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\nfeatured: false\n---\n\nExport a video of my screen activity from the last 5 minutes.\n\nRead screenpipe skill first.\n\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\n\nIf the export is large, suggest a lower fps or shorter time range.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"GET /api/pipes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /api/pipes/{pipe_id}/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— a","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"command to run pipes from the terminal","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me build it:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check browser_urls signature","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/consumers/activity.py | grep \"def browser_urls\" -A 5","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"def browser_urls(\n for_date: date | None = None,\n app_name: str | None = None,\n ts_from: str | None = None,\n ts_to: str | None = None,\n limit: int = 30,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"pipes.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipes.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"143 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"\"\"Dynamic pipe loader and runner.\"\"\"\nimport os\nimport re\nfrom datetime import date\nfrom pathlib import Path\nfrom typing import Any\n\n\ndef _parse_frontmatter(text: str) -> tuple[dict, str]:\n if not text.startswith(\"---\"):\n return {}, text\n try:\n end = text.index(\"---\", 3)\n except ValueError:\n return {}, text\n fm_text = text[3:end].strip()\n body = text[end + 3:].strip()\n meta: dict = {}\n for line in fm_text.splitlines():\n if \":\" in line:\n k, _, v = line.partition(\":\")\n meta[k.strip()] = v.strip().strip('\"')\n return meta, body\n\n\ndef load_pipes(pipes_dir: Path) -> list[dict]:\n if not pipes_dir.exists():\n return []\n pipes = []\n for pipe_dir in sorted(pipes_dir.iterdir()):\n if not pipe_dir.is_dir() or pipe_dir.name.startswith(\".\"):\n continue\n pipe_md = pipe_dir / \"pipe.md\"\n if not pipe_md.exists():\n continue\n text = pipe_md.read_text(encoding=\"utf-8\")\n meta, body = _parse_frontmatter(text)\n if meta.get(\"enabled\", \"true\").lower() == \"false\":\n continue\n body = re.sub(r\"Read screenpipe skill first\\.?\\n?\", \"\", body).strip()\n pipes.append({\n \"id\": pipe_dir.name,\n \"title\": meta.get(\"title\", pipe_dir.name),\n \"description\": meta.get(\"description\", \"\"),\n \"icon\": meta.get(\"icon\", \"\"),\n \"schedule\": meta.get(\"schedule\", \"manual\"),\n \"featured\": meta.get(\"featured\", \"false\").lower() == \"true\",\n \"prompt\": body,\n })\n return pipes\n\n\ndef _build_system(d: date, stats: dict) -> str:\n from consumers.activity import app_time, browser_urls, ui_event_summary\n from consumers.ocr import deduplicated_text\n from consumers.audio import formatted_transcript\n\n apps = app_time(d)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(d, limit=20)\n url_lines = \"\\n\".join(f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls)\n\n ui_rows = ui_event_summary(d)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(d, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(d)\n if len(audio) > 3000:\n audio = audio[:3000]\n\n return f\"\"\"You are analyzing screenpipe data — recordings of a person's computer activity.\n\n## App usage (minutes per app):\n{app_lines or '(no app data)'}\n\n## Browser URLs visited:\n{url_lines or '(no browser data)'}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_lines or '(no UI event data)'}\n\n## Screen content (sampled every 5 minutes):\n{ocr_lines or '(no screen data)'}\n\n## Audio / speech:\n{audio or '(no audio data)'}\n\nDate: {d}\nTotal frames recorded: {stats['total_frames']}\"\"\"\n\n\ndef run_pipe(\n pipe_id: str,\n for_date: date | None = None,\n api_key: str | None = None,\n pipes_dir: Path | None = None,\n) -> dict[str, Any]:\n import anthropic\n from consumers.activity import summary_stats\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\"title\": \"Error\", \"content\": \"ANTHROPIC_API_KEY not set.\", \"date\": str(d)}\n\n _pipes_dir = pipes_dir or Path(os.environ.get(\"PIPES_DIR\", \"/data/pipes\"))\n all_pipes = {p[\"id\"]: p for p in load_pipes(_pipes_dir)}\n\n if pipe_id not in all_pipes:\n return {\"title\": \"Error\", \"content\": f\"Pipe not found: {pipe_id}\", \"date\": str(d)}\n\n pipe = all_pipes[pipe_id]\n stats = summary_stats(d)\n\n if stats[\"total_frames\"] == 0:\n return {\"title\": pipe[\"title\"], \"content\": f\"No screen data found for {d}.\", \"date\": str(d)}\n\n system = _build_system(d, stats)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n system=system,\n messages=[{\"role\": \"user\", \"content\": pipe[\"prompt\"]}],\n )\n\n return {\n \"title\": pipe[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the API endpoints to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the pipe endpoints at the end of main.py, before the closing summary section:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 14 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the CLI command to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 40 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Done. Here's how to run pipes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to run pipes","depth":22,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to run pipes","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via Docker (inside the running container):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"docker exec -it screenpipe-app python cli.py pipe --list\ndocker exec -it screenpipe-app python cli.py pipe day-recap\ndocker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(once the container is running on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List pipes\ncurl http://localhost:8766/api/pipes\n\n# Run a pipe\ncurl -X POST \"http://localhost:8766/api/pipes/day-recap/run\"\ncurl -X POST \"http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25\"","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Rebuild and restart","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to pick up the changes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app\ndocker compose up --build -d","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"How it works:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Each","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The \"Read screenpipe skill first\" line is stripped automatically.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The pipes directory inside Docker is","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data/pipes","depth":24,"on_screen":false,"role_description":"text"}]...
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
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Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
How it works:
Each
pipe.md
file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The "Read screenpipe skill first" line is stripped automatically.
The pipes directory inside Docker is
/data/pipes...
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2026-05-11T17:06:34.547460+00:00
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Implement and run pipe l… — screenpipe [SSH: nas]
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NULL
|
NULL
|
NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
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docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
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# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
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cd /volume1/screenpipe/app
docker compose up --build -d
How it works:
Each
pipe.md
file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The "Read screenpipe skill first" line is stripped automatically.
The pipes directory inside Docker is
/data/pipes
(since
/volume1/screenpipe
→
/data
). You can override it with a
PIPES_DIR
env var if needed.
Message actions
pipe.md
pipe.md
where to place api key and can I use different keys
Thinking
Thinking
Bash
Read .env file
IN
cat /volume1/screenpipe/app/.env
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OUT
[ENV_SECRET]
Where to place the key:
app/.env
app/.env
— replace
your_key_here
with your actual key:
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[ENV_SECRET]
That file is loaded by
load_dotenv()
at startup and is excluded from git via
.gitignore
.
Can you use different keys per pipe?
Not currently — all pipes share the one key from
.env
. But you can add per-pipe key support by adding an
api_key...
|
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tunnel","depth":12,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Implement and run pipe logic","depth":19,"bounds":{"left":0.56017286,"top":0.08060654,"width":0.07114362,"height":0.022346368},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":19,"bounds":{"left":0.9780585,"top":0.08060654,"width":0.00930851,"height":0.022346368},"on_screen":true,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":19,"bounds":{"left":0.9886968,"top":0.08060654,"width":0.00930851,"height":0.022346368},"on_screen":true,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message 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place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\nfeatured: true\n---\n\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## AI Tools Used\n- List each tool with approximate time spent (e.g. \"Claude: ~45min\")\n\n## What I Used Them For\n- For each tool: coding, writing, research, or brainstorming\n\n## Usage Patterns\n- Do I switch between tools? Use them in bursts or steadily?\n\n## Effectiveness\n- Which tool appeared alongside completed work vs. abandoned attempts\n\nIf no AI usage is found, say so clearly. End with: \"**Tip:** [one suggestion to use AI tools more effectively]\"\n\n=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n\n=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.\n\n=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\nfeatured: true\n---\n\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Yesterday\n- What I worked on (name specific projects, files, tools, PRs)\n\n## Today\n- What I will work on next (based on unfinished tasks and recent activity)\n\n## Blockers\n- Issues I hit — errors, slow builds, waiting on someone\n- If no blockers, write \"None\"\n\nKeep it under 150 words. Copy-paste ready for a team standup.\n\n=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Time Breakdown\ndescription: \"Where your time went — by app, project, and category\"\nicon: \"⏱\"\nfeatured: false\n---\n\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\n\nRead screenpipe skill first.\n\nUse this exact format with durations and percentages:\n\n## By Application\n- List each app with duration and percentage, sorted by time (e.g. \"VS Code: 2h 15min (28%)\")\n\n## By Category\n- Group into: coding, meetings, browsing, writing, communication, other\n- Show hours and percentage per category\n\n## By Project\n- Group related activities by project/topic. Name specific repos or tasks.\n\n## Productivity Score\n- Calculate: focused_work_hours / total_hours as a percentage\n- Focused = coding + writing. Unfocused = browsing + switching.\n\nEnd with: \"**Suggestion:** [one specific change to improve tomorrow's productivity]\"\n\n=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\nfeatured: false\n---\n\nExport a video of my screen activity from the last 5 minutes.\n\nRead screenpipe skill first.\n\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\n\nIf the export is large, suggest a lower fps or shorter time range.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"GET /api/pipes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /api/pipes/{pipe_id}/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— a","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"command to run pipes from the terminal","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me build it:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check browser_urls signature","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/consumers/activity.py | grep \"def browser_urls\" -A 5","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"def browser_urls(\n for_date: date | None = None,\n app_name: str | None = None,\n ts_from: str | None = None,\n ts_to: str | None = None,\n limit: int = 30,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"pipes.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipes.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"143 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"\"\"Dynamic pipe loader and runner.\"\"\"\nimport os\nimport re\nfrom datetime import date\nfrom pathlib import Path\nfrom typing import Any\n\n\ndef _parse_frontmatter(text: str) -> tuple[dict, str]:\n if not text.startswith(\"---\"):\n return {}, text\n try:\n end = text.index(\"---\", 3)\n except ValueError:\n return {}, text\n fm_text = text[3:end].strip()\n body = text[end + 3:].strip()\n meta: dict = {}\n for line in fm_text.splitlines():\n if \":\" in line:\n k, _, v = line.partition(\":\")\n meta[k.strip()] = v.strip().strip('\"')\n return meta, body\n\n\ndef load_pipes(pipes_dir: Path) -> list[dict]:\n if not pipes_dir.exists():\n return []\n pipes = []\n for pipe_dir in sorted(pipes_dir.iterdir()):\n if not pipe_dir.is_dir() or pipe_dir.name.startswith(\".\"):\n continue\n pipe_md = pipe_dir / \"pipe.md\"\n if not pipe_md.exists():\n continue\n text = pipe_md.read_text(encoding=\"utf-8\")\n meta, body = _parse_frontmatter(text)\n if meta.get(\"enabled\", \"true\").lower() == \"false\":\n continue\n body = re.sub(r\"Read screenpipe skill first\\.?\\n?\", \"\", body).strip()\n pipes.append({\n \"id\": pipe_dir.name,\n \"title\": meta.get(\"title\", pipe_dir.name),\n \"description\": meta.get(\"description\", \"\"),\n \"icon\": meta.get(\"icon\", \"\"),\n \"schedule\": meta.get(\"schedule\", \"manual\"),\n \"featured\": meta.get(\"featured\", \"false\").lower() == \"true\",\n \"prompt\": body,\n })\n return pipes\n\n\ndef _build_system(d: date, stats: dict) -> str:\n from consumers.activity import app_time, browser_urls, ui_event_summary\n from consumers.ocr import deduplicated_text\n from consumers.audio import formatted_transcript\n\n apps = app_time(d)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(d, limit=20)\n url_lines = \"\\n\".join(f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls)\n\n ui_rows = ui_event_summary(d)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(d, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(d)\n if len(audio) > 3000:\n audio = audio[:3000]\n\n return f\"\"\"You are analyzing screenpipe data — recordings of a person's computer activity.\n\n## App usage (minutes per app):\n{app_lines or '(no app data)'}\n\n## Browser URLs visited:\n{url_lines or '(no browser data)'}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_lines or '(no UI event data)'}\n\n## Screen content (sampled every 5 minutes):\n{ocr_lines or '(no screen data)'}\n\n## Audio / speech:\n{audio or '(no audio data)'}\n\nDate: {d}\nTotal frames recorded: {stats['total_frames']}\"\"\"\n\n\ndef run_pipe(\n pipe_id: str,\n for_date: date | None = None,\n api_key: str | None = None,\n pipes_dir: Path | None = None,\n) -> dict[str, Any]:\n import anthropic\n from consumers.activity import summary_stats\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\"title\": \"Error\", \"content\": \"ANTHROPIC_API_KEY not set.\", \"date\": str(d)}\n\n _pipes_dir = pipes_dir or Path(os.environ.get(\"PIPES_DIR\", \"/data/pipes\"))\n all_pipes = {p[\"id\"]: p for p in load_pipes(_pipes_dir)}\n\n if pipe_id not in all_pipes:\n return {\"title\": \"Error\", \"content\": f\"Pipe not found: {pipe_id}\", \"date\": str(d)}\n\n pipe = all_pipes[pipe_id]\n stats = summary_stats(d)\n\n if stats[\"total_frames\"] == 0:\n return {\"title\": pipe[\"title\"], \"content\": f\"No screen data found for {d}.\", \"date\": str(d)}\n\n system = _build_system(d, stats)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n system=system,\n messages=[{\"role\": \"user\", \"content\": pipe[\"prompt\"]}],\n )\n\n return {\n \"title\": pipe[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the API endpoints to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the pipe endpoints at the end of main.py, before the closing summary section:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 14 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the CLI command to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 40 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Done. Here's how to run pipes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to run pipes","depth":22,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to run pipes","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via Docker (inside the running container):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"docker exec -it screenpipe-app python cli.py pipe --list\ndocker exec -it screenpipe-app python cli.py pipe day-recap\ndocker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(once the container is running on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List pipes\ncurl http://localhost:8766/api/pipes\n\n# Run a pipe\ncurl -X POST \"http://localhost:8766/api/pipes/day-recap/run\"\ncurl -X POST \"http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25\"","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Rebuild and restart","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to pick up the changes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app\ndocker compose up --build -d","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"How it works:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Each","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The \"Read screenpipe skill first\" line is stripped automatically.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The pipes directory inside Docker is","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data/pipes","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(since","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). You can override it with a","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PIPES_DIR","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"env var if needed.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"where to place api key and can I use different keys","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read .env file","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/.env","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Where to place the key:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"app/.env","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"app/.env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— replace","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with your actual key:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=sk-ant-...","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"That file is loaded by","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"load_dotenv()","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"at startup and is excluded from git via","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".gitignore","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Can you use different keys per pipe?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Not currently — all pipes share the one key from","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". But you can add per-pipe key support by adding an","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"api_key","depth":24,"on_screen":false,"role_description":"text"}]...
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250811703306051361
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-8763496496607803284
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idle
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accessibility
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NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
How it works:
Each
pipe.md
file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The "Read screenpipe skill first" line is stripped automatically.
The pipes directory inside Docker is
/data/pipes
(since
/volume1/screenpipe
→
/data
). You can override it with a
PIPES_DIR
env var if needed.
Message actions
pipe.md
pipe.md
where to place api key and can I use different keys
Thinking
Thinking
Bash
Read .env file
IN
cat /volume1/screenpipe/app/.env
Copy code to clipboard
OUT
[ENV_SECRET]
Where to place the key:
app/.env
app/.env
— replace
your_key_here
with your actual key:
Copy code to clipboard
[ENV_SECRET]
That file is loaded by
load_dotenv()
at startup and is excluded from git via
.gitignore
.
Can you use different keys per pipe?
Not currently — all pipes share the one key from
.env
. But you can add per-pipe key support by adding an
api_key...
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U...
|
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(⇧⌘D)","depth":19,"bounds":{"left":0.0,"top":0.16280925,"width":0.015957447,"height":0.03830806},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"bounds":{"left":0.0039893617,"top":0.17238627,"width":0.007978723,"height":0.01915403},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Remote Explorer","depth":19,"bounds":{"left":0.0,"top":0.20111732,"width":0.015957447,"height":0.03830806},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"bounds":{"left":0.0039893617,"top":0.21069433,"width":0.007978723,"height":0.01915403},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Extensions (⇧⌘X) - 2 require 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idle
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accessibility
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NULL
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U...
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2026-05-11T17:07:35.584854+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519255584_m2.jpg...
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Code
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Implement and run pipe l… — screenpipe [SSH: nas]
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True
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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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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines...
|
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Branch/Tag...","depth":16,"bounds":{"left":0.030917553,"top":0.98244214,"width":0.023271276,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.031914894,"top":0.9848364,"width":0.005319149,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"master*","depth":17,"bounds":{"left":0.03723404,"top":0.9856345,"width":0.015957447,"height":0.011173184},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.03723404,"top":0.9856345,"width":0.0013297872,"height":0.011173184}},{"char_start":1,"char_count":6,"bounds":{"left":0.03856383,"top":0.9856345,"width":0.012965426,"height":0.011173184}}],"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - Synchronize Changes","depth":16,"bounds":{"left":0.05418883,"top":0.98244214,"width":0.00731383,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"No Problems","depth":16,"bounds":{"left":0.06416223,"top":0.98244214,"width":0.022606382,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.06582447,"top":0.9848364,"width":0.005319149,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"bounds":{"left":0.07114362,"top":0.9856345,"width":0.004986702,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.07579787,"top":0.9848364,"width":0.0056515955,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"bounds":{"left":0.08111702,"top":0.9856345,"width":0.0039893617,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Forwarded Ports: 8766","depth":16,"bounds":{"left":0.08843085,"top":0.98244214,"width":0.012632979,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.09009308,"top":0.9848364,"width":0.0056515955,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":17,"bounds":{"left":0.09541223,"top":0.9856345,"width":0.0039893617,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Notifications","depth":16,"bounds":{"left":0.9886968,"top":0.98244214,"width":0.010638298,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sign In","depth":16,"bounds":{"left":0.9650931,"top":0.98244214,"width":0.022606382,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.96675533,"top":0.9848364,"width":0.0056515955,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"bounds":{"left":0.97207445,"top":0.9856345,"width":0.013962766,"height":0.011173184},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.97207445,"top":0.9856345,"width":0.0013297872,"height":0.011173184}},{"char_start":1,"char_count":6,"bounds":{"left":0.9734042,"top":0.9856345,"width":0.010638298,"height":0.011173184}}],"role_description":"text"},{"role":"AXStaticText","text":"Info: Setting up SSH Host nas: Setting up SSH tunnel","depth":12,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Implement and run pipe logic","depth":19,"bounds":{"left":0.56017286,"top":0.08060654,"width":0.07114362,"height":0.022346368},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":19,"bounds":{"left":0.9780585,"top":0.08060654,"width":0.00930851,"height":0.022346368},"on_screen":true,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":19,"bounds":{"left":0.9886968,"top":0.08060654,"width":0.00930851,"height":0.022346368},"on_screen":true,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"main.py","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lets implement logic with pipes. how can I run it?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me look at the current project structure to understand what's already in place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\nfeatured: true\n---\n\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## AI Tools Used\n- List each tool with approximate time spent (e.g. \"Claude: ~45min\")\n\n## What I Used Them For\n- For each tool: coding, writing, research, or brainstorming\n\n## Usage Patterns\n- Do I switch between tools? Use them in bursts or steadily?\n\n## Effectiveness\n- Which tool appeared alongside completed work vs. abandoned attempts\n\nIf no AI usage is found, say so clearly. End with: \"**Tip:** [one suggestion to use AI tools more effectively]\"\n\n=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n\n=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.\n\n=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\nfeatured: true\n---\n\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Yesterday\n- What I worked on (name specific projects, files, tools, PRs)\n\n## Today\n- What I will work on next (based on unfinished tasks and recent activity)\n\n## Blockers\n- Issues I hit — errors, slow builds, waiting on someone\n- If no blockers, write \"None\"\n\nKeep it under 150 words. Copy-paste ready for a team standup.\n\n=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Time Breakdown\ndescription: \"Where your time went — by app, project, and category\"\nicon: \"⏱\"\nfeatured: false\n---\n\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\n\nRead screenpipe skill first.\n\nUse this exact format with durations and percentages:\n\n## By Application\n- List each app with duration and percentage, sorted by time (e.g. \"VS Code: 2h 15min (28%)\")\n\n## By Category\n- Group into: coding, meetings, browsing, writing, communication, other\n- Show hours and percentage per category\n\n## By Project\n- Group related activities by project/topic. Name specific repos or tasks.\n\n## Productivity Score\n- Calculate: focused_work_hours / total_hours as a percentage\n- Focused = coding + writing. Unfocused = browsing + switching.\n\nEnd with: \"**Suggestion:** [one specific change to improve tomorrow's productivity]\"\n\n=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\nfeatured: false\n---\n\nExport a video of my screen activity from the last 5 minutes.\n\nRead screenpipe skill first.\n\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\n\nIf the export is large, suggest a lower fps or shorter time range.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"GET /api/pipes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /api/pipes/{pipe_id}/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— a","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"command to run pipes from the terminal","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me build it:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check browser_urls signature","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/consumers/activity.py | grep \"def browser_urls\" -A 5","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"def browser_urls(\n for_date: date | None = None,\n app_name: str | None = None,\n ts_from: str | None = None,\n ts_to: str | None = None,\n limit: int = 30,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"pipes.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipes.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"143 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"\"\"Dynamic pipe loader and runner.\"\"\"\nimport os\nimport re\nfrom datetime import date\nfrom pathlib import Path\nfrom typing import Any\n\n\ndef _parse_frontmatter(text: str) -> tuple[dict, str]:\n if not text.startswith(\"---\"):\n return {}, text\n try:\n end = text.index(\"---\", 3)\n except ValueError:\n return {}, text\n fm_text = text[3:end].strip()\n body = text[end + 3:].strip()\n meta: dict = {}\n for line in fm_text.splitlines():\n if \":\" in line:\n k, _, v = line.partition(\":\")\n meta[k.strip()] = v.strip().strip('\"')\n return meta, body\n\n\ndef load_pipes(pipes_dir: Path) -> list[dict]:\n if not pipes_dir.exists():\n return []\n pipes = []\n for pipe_dir in sorted(pipes_dir.iterdir()):\n if not pipe_dir.is_dir() or pipe_dir.name.startswith(\".\"):\n continue\n pipe_md = pipe_dir / \"pipe.md\"\n if not pipe_md.exists():\n continue\n text = pipe_md.read_text(encoding=\"utf-8\")\n meta, body = _parse_frontmatter(text)\n if meta.get(\"enabled\", \"true\").lower() == \"false\":\n continue\n body = re.sub(r\"Read screenpipe skill first\\.?\\n?\", \"\", body).strip()\n pipes.append({\n \"id\": pipe_dir.name,\n \"title\": meta.get(\"title\", pipe_dir.name),\n \"description\": meta.get(\"description\", \"\"),\n \"icon\": meta.get(\"icon\", \"\"),\n \"schedule\": meta.get(\"schedule\", \"manual\"),\n \"featured\": meta.get(\"featured\", \"false\").lower() == \"true\",\n \"prompt\": body,\n })\n return pipes\n\n\ndef _build_system(d: date, stats: dict) -> str:\n from consumers.activity import app_time, browser_urls, ui_event_summary\n from consumers.ocr import deduplicated_text\n from consumers.audio import formatted_transcript\n\n apps = app_time(d)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(d, limit=20)\n url_lines = \"\\n\".join(f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls)\n\n ui_rows = ui_event_summary(d)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(d, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(d)\n if len(audio) > 3000:\n audio = audio[:3000]\n\n return f\"\"\"You are analyzing screenpipe data — recordings of a person's computer activity.\n\n## App usage (minutes per app):\n{app_lines or '(no app data)'}\n\n## Browser URLs visited:\n{url_lines or '(no browser data)'}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_lines or '(no UI event data)'}\n\n## Screen content (sampled every 5 minutes):\n{ocr_lines or '(no screen data)'}\n\n## Audio / speech:\n{audio or '(no audio data)'}\n\nDate: {d}\nTotal frames recorded: {stats['total_frames']}\"\"\"\n\n\ndef run_pipe(\n pipe_id: str,\n for_date: date | None = None,\n api_key: str | None = None,\n pipes_dir: Path | None = None,\n) -> dict[str, Any]:\n import anthropic\n from consumers.activity import summary_stats\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\"title\": \"Error\", \"content\": \"ANTHROPIC_API_KEY not set.\", \"date\": str(d)}\n\n _pipes_dir = pipes_dir or Path(os.environ.get(\"PIPES_DIR\", \"/data/pipes\"))\n all_pipes = {p[\"id\"]: p for p in load_pipes(_pipes_dir)}\n\n if pipe_id not in all_pipes:\n return {\"title\": \"Error\", \"content\": f\"Pipe not found: {pipe_id}\", \"date\": str(d)}\n\n pipe = all_pipes[pipe_id]\n stats = summary_stats(d)\n\n if stats[\"total_frames\"] == 0:\n return {\"title\": pipe[\"title\"], \"content\": f\"No screen data found for {d}.\", \"date\": str(d)}\n\n system = _build_system(d, stats)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n system=system,\n messages=[{\"role\": \"user\", \"content\": pipe[\"prompt\"]}],\n )\n\n return {\n \"title\": pipe[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the API endpoints to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the pipe endpoints at the end of main.py, before the closing summary section:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 14 lines","depth":24,"on_screen":false,"role_description":"text"}]...
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accessibility
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines...
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2026-05-11T17:08:06.091583+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519286091_m2.jpg...
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Code
|
Implement and run pipe l… — screenpipe [SSH: nas]
|
True
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NULL
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monitor_2
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NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
How it works:
Each
pipe.md
file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The "Read screenpipe skill first" line is stripped automatically.
The pipes directory inside Docker is
/data/pipes
(since
/volume1/screenpipe
→
/data
). You can override it with a
PIPES_DIR
env var if needed.
Message actions
pipe.md
pipe.md
where to place api key and can I use different keys
Thinking
Thinking
Bash
Read .env file
IN
cat /volume1/screenpipe/app/.env
Copy code to clipboard
OUT
[ENV_SECRET]
Where to place the key:
app/.env
app/.env
— replace
your_key_here
with your actual key:
Copy code to clipboard
[ENV_SECRET]
That file is loaded by
load_dotenv()
at startup and is excluded from git via
.gitignore
.
Can you use different keys per pipe?
Not currently — all pipes share the one key from
.env
. But you can add per-pipe key support by adding an
api_key
field to the pipe's frontmatter:
Copy code to clipboard
---
title: Meeting Summary
api_key_env: ANTHROPIC_KEY_MEETINGS
---
Then in
consumers/pipes.py
consumers/pipes.py
, read it in
_parse_frontmatter
and pass it through
run_pipe
. Want me to add that?
Message actions
pipe.md
pipe.md
can I use mistral or other llm? or is is build for antrophic only
Thinking
Thinking
Currently it's Anthropic-only — the code calls the
anthropic
SDK directly in both
consumers/pipes.py
consumers/pipes.py
and
consumers/summary.py
consumers/summary.py
.
Adding other providers is straightforward since Mistral, Ollama, OpenRouter, Groq, and most modern LLMs expose an OpenAI-compatible API. The cleanest approach: add the
openai
package and let you configure the provider via
.env
:...
|
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Branch/Tag...","depth":16,"bounds":{"left":0.030917553,"top":0.98244214,"width":0.023271276,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.031914894,"top":0.9848364,"width":0.005319149,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"master*","depth":17,"bounds":{"left":0.03723404,"top":0.9856345,"width":0.015957447,"height":0.011173184},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.03723404,"top":0.9856345,"width":0.0013297872,"height":0.011173184}},{"char_start":1,"char_count":6,"bounds":{"left":0.03856383,"top":0.9856345,"width":0.012965426,"height":0.011173184}}],"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - Synchronize Changes","depth":16,"bounds":{"left":0.05418883,"top":0.98244214,"width":0.00731383,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"No Problems","depth":16,"bounds":{"left":0.06416223,"top":0.98244214,"width":0.022606382,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.06582447,"top":0.9848364,"width":0.005319149,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"bounds":{"left":0.07114362,"top":0.9856345,"width":0.004986702,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.07579787,"top":0.9848364,"width":0.0056515955,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"bounds":{"left":0.08111702,"top":0.9856345,"width":0.0039893617,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Forwarded Ports: 8766","depth":16,"bounds":{"left":0.08843085,"top":0.98244214,"width":0.012632979,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.09009308,"top":0.9848364,"width":0.0056515955,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":17,"bounds":{"left":0.09541223,"top":0.9856345,"width":0.0039893617,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Notifications","depth":16,"bounds":{"left":0.9886968,"top":0.98244214,"width":0.010638298,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sign In","depth":16,"bounds":{"left":0.9650931,"top":0.98244214,"width":0.022606382,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.96675533,"top":0.9848364,"width":0.0056515955,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"bounds":{"left":0.97207445,"top":0.9856345,"width":0.013962766,"height":0.011173184},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.97207445,"top":0.9856345,"width":0.0013297872,"height":0.011173184}},{"char_start":1,"char_count":6,"bounds":{"left":0.9734042,"top":0.9856345,"width":0.010638298,"height":0.011173184}}],"role_description":"text"},{"role":"AXStaticText","text":"Info: Setting up SSH Host nas: Setting up SSH tunnel","depth":12,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Implement and run pipe logic","depth":19,"bounds":{"left":0.56017286,"top":0.08060654,"width":0.07114362,"height":0.022346368},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":19,"bounds":{"left":0.9780585,"top":0.08060654,"width":0.00930851,"height":0.022346368},"on_screen":true,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":19,"bounds":{"left":0.9886968,"top":0.08060654,"width":0.00930851,"height":0.022346368},"on_screen":true,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"main.py","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lets implement logic with pipes. how can I run it?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me look at the current project structure to understand what's already in place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\nfeatured: true\n---\n\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## AI Tools Used\n- List each tool with approximate time spent (e.g. \"Claude: ~45min\")\n\n## What I Used Them For\n- For each tool: coding, writing, research, or brainstorming\n\n## Usage Patterns\n- Do I switch between tools? Use them in bursts or steadily?\n\n## Effectiveness\n- Which tool appeared alongside completed work vs. abandoned attempts\n\nIf no AI usage is found, say so clearly. End with: \"**Tip:** [one suggestion to use AI tools more effectively]\"\n\n=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n\n=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.\n\n=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\nfeatured: true\n---\n\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Yesterday\n- What I worked on (name specific projects, files, tools, PRs)\n\n## Today\n- What I will work on next (based on unfinished tasks and recent activity)\n\n## Blockers\n- Issues I hit — errors, slow builds, waiting on someone\n- If no blockers, write \"None\"\n\nKeep it under 150 words. Copy-paste ready for a team standup.\n\n=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Time Breakdown\ndescription: \"Where your time went — by app, project, and category\"\nicon: \"⏱\"\nfeatured: false\n---\n\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\n\nRead screenpipe skill first.\n\nUse this exact format with durations and percentages:\n\n## By Application\n- List each app with duration and percentage, sorted by time (e.g. \"VS Code: 2h 15min (28%)\")\n\n## By Category\n- Group into: coding, meetings, browsing, writing, communication, other\n- Show hours and percentage per category\n\n## By Project\n- Group related activities by project/topic. Name specific repos or tasks.\n\n## Productivity Score\n- Calculate: focused_work_hours / total_hours as a percentage\n- Focused = coding + writing. Unfocused = browsing + switching.\n\nEnd with: \"**Suggestion:** [one specific change to improve tomorrow's productivity]\"\n\n=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\nfeatured: false\n---\n\nExport a video of my screen activity from the last 5 minutes.\n\nRead screenpipe skill first.\n\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\n\nIf the export is large, suggest a lower fps or shorter time range.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"GET /api/pipes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /api/pipes/{pipe_id}/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— a","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"command to run pipes from the terminal","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me build it:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check browser_urls signature","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/consumers/activity.py | grep \"def browser_urls\" -A 5","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"def browser_urls(\n for_date: date | None = None,\n app_name: str | None = None,\n ts_from: str | None = None,\n ts_to: str | None = None,\n limit: int = 30,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"pipes.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipes.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"143 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"\"\"Dynamic pipe loader and runner.\"\"\"\nimport os\nimport re\nfrom datetime import date\nfrom pathlib import Path\nfrom typing import Any\n\n\ndef _parse_frontmatter(text: str) -> tuple[dict, str]:\n if not text.startswith(\"---\"):\n return {}, text\n try:\n end = text.index(\"---\", 3)\n except ValueError:\n return {}, text\n fm_text = text[3:end].strip()\n body = text[end + 3:].strip()\n meta: dict = {}\n for line in fm_text.splitlines():\n if \":\" in line:\n k, _, v = line.partition(\":\")\n meta[k.strip()] = v.strip().strip('\"')\n return meta, body\n\n\ndef load_pipes(pipes_dir: Path) -> list[dict]:\n if not pipes_dir.exists():\n return []\n pipes = []\n for pipe_dir in sorted(pipes_dir.iterdir()):\n if not pipe_dir.is_dir() or pipe_dir.name.startswith(\".\"):\n continue\n pipe_md = pipe_dir / \"pipe.md\"\n if not pipe_md.exists():\n continue\n text = pipe_md.read_text(encoding=\"utf-8\")\n meta, body = _parse_frontmatter(text)\n if meta.get(\"enabled\", \"true\").lower() == \"false\":\n continue\n body = re.sub(r\"Read screenpipe skill first\\.?\\n?\", \"\", body).strip()\n pipes.append({\n \"id\": pipe_dir.name,\n \"title\": meta.get(\"title\", pipe_dir.name),\n \"description\": meta.get(\"description\", \"\"),\n \"icon\": meta.get(\"icon\", \"\"),\n \"schedule\": meta.get(\"schedule\", \"manual\"),\n \"featured\": meta.get(\"featured\", \"false\").lower() == \"true\",\n \"prompt\": body,\n })\n return pipes\n\n\ndef _build_system(d: date, stats: dict) -> str:\n from consumers.activity import app_time, browser_urls, ui_event_summary\n from consumers.ocr import deduplicated_text\n from consumers.audio import formatted_transcript\n\n apps = app_time(d)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(d, limit=20)\n url_lines = \"\\n\".join(f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls)\n\n ui_rows = ui_event_summary(d)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(d, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(d)\n if len(audio) > 3000:\n audio = audio[:3000]\n\n return f\"\"\"You are analyzing screenpipe data — recordings of a person's computer activity.\n\n## App usage (minutes per app):\n{app_lines or '(no app data)'}\n\n## Browser URLs visited:\n{url_lines or '(no browser data)'}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_lines or '(no UI event data)'}\n\n## Screen content (sampled every 5 minutes):\n{ocr_lines or '(no screen data)'}\n\n## Audio / speech:\n{audio or '(no audio data)'}\n\nDate: {d}\nTotal frames recorded: {stats['total_frames']}\"\"\"\n\n\ndef run_pipe(\n pipe_id: str,\n for_date: date | None = None,\n api_key: str | None = None,\n pipes_dir: Path | None = None,\n) -> dict[str, Any]:\n import anthropic\n from consumers.activity import summary_stats\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\"title\": \"Error\", \"content\": \"ANTHROPIC_API_KEY not set.\", \"date\": str(d)}\n\n _pipes_dir = pipes_dir or Path(os.environ.get(\"PIPES_DIR\", \"/data/pipes\"))\n all_pipes = {p[\"id\"]: p for p in load_pipes(_pipes_dir)}\n\n if pipe_id not in all_pipes:\n return {\"title\": \"Error\", \"content\": f\"Pipe not found: {pipe_id}\", \"date\": str(d)}\n\n pipe = all_pipes[pipe_id]\n stats = summary_stats(d)\n\n if stats[\"total_frames\"] == 0:\n return {\"title\": pipe[\"title\"], \"content\": f\"No screen data found for {d}.\", \"date\": str(d)}\n\n system = _build_system(d, stats)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n system=system,\n messages=[{\"role\": \"user\", \"content\": pipe[\"prompt\"]}],\n )\n\n return {\n \"title\": pipe[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the API endpoints to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the pipe endpoints at the end of main.py, before the closing summary section:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 14 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the CLI command to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 40 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Done. Here's how to run pipes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to run pipes","depth":22,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to run pipes","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via Docker (inside the running container):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"docker exec -it screenpipe-app python cli.py pipe --list\ndocker exec -it screenpipe-app python cli.py pipe day-recap\ndocker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(once the container is running on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List pipes\ncurl http://localhost:8766/api/pipes\n\n# Run a pipe\ncurl -X POST \"http://localhost:8766/api/pipes/day-recap/run\"\ncurl -X POST \"http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25\"","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Rebuild and restart","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to pick up the changes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app\ndocker compose up --build -d","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"How it works:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Each","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The \"Read screenpipe skill first\" line is stripped automatically.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The pipes directory inside Docker is","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data/pipes","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(since","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). You can override it with a","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PIPES_DIR","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"env var if needed.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"where to place api key and can I use different keys","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read .env file","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/.env","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Where to place the key:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"app/.env","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"app/.env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— replace","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with your actual key:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=sk-ant-...","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"That file is loaded by","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"load_dotenv()","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"at startup and is excluded from git via","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".gitignore","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Can you use different keys per pipe?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Not currently — all pipes share the one key from","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". But you can add per-pipe key support by adding an","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"api_key","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"field to the pipe's frontmatter:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"---\ntitle: Meeting Summary\napi_key_env: ANTHROPIC_KEY_MEETINGS\n---","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Then in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/pipes.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", read it in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"_parse_frontmatter","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and pass it through","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"run_pipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". Want me to add that?","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"can I use mistral or other llm? or is is build for antrophic only","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Currently it's Anthropic-only — the code calls the","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"anthropic","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SDK directly in both","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/pipes.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/summary.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Adding other providers is straightforward since Mistral, Ollama, OpenRouter, Groq, and most modern LLMs expose an OpenAI-compatible API. The cleanest approach: add the","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"openai","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"package and let you configure the provider via","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"}]...
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idle
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accessibility
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NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
How it works:
Each
pipe.md
file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The "Read screenpipe skill first" line is stripped automatically.
The pipes directory inside Docker is
/data/pipes
(since
/volume1/screenpipe
→
/data
). You can override it with a
PIPES_DIR
env var if needed.
Message actions
pipe.md
pipe.md
where to place api key and can I use different keys
Thinking
Thinking
Bash
Read .env file
IN
cat /volume1/screenpipe/app/.env
Copy code to clipboard
OUT
[ENV_SECRET]
Where to place the key:
app/.env
app/.env
— replace
your_key_here
with your actual key:
Copy code to clipboard
[ENV_SECRET]
That file is loaded by
load_dotenv()
at startup and is excluded from git via
.gitignore
.
Can you use different keys per pipe?
Not currently — all pipes share the one key from
.env
. But you can add per-pipe key support by adding an
api_key
field to the pipe's frontmatter:
Copy code to clipboard
---
title: Meeting Summary
api_key_env: ANTHROPIC_KEY_MEETINGS
---
Then in
consumers/pipes.py
consumers/pipes.py
, read it in
_parse_frontmatter
and pass it through
run_pipe
. Want me to add that?
Message actions
pipe.md
pipe.md
can I use mistral or other llm? or is is build for antrophic only
Thinking
Thinking
Currently it's Anthropic-only — the code calls the
anthropic
SDK directly in both
consumers/pipes.py
consumers/pipes.py
and
consumers/summary.py
consumers/summary.py
.
Adding other providers is straightforward since Mistral, Ollama, OpenRouter, Groq, and most modern LLMs expose an OpenAI-compatible API. The cleanest approach: add the
openai
package and let you configure the provider via
.env
:...
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Implement and run pipe l… — screenpipe [SSH: nas]
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt...
|
[{"role":"AXRadioButton","text [{"role":"AXRadioButton","text":"Explorer (⇧⌘E)","depth":19,"bounds":{"left":0.0,"top":0.047885075,"width":0.015957447,"height":0.03830806},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"","depth":22,"bounds":{"left":0.0039893617,"top":0.057462092,"width":0.007978723,"height":0.01915403},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Search (⇧⌘F)","depth":19,"bounds":{"left":0.0,"top":0.08619314,"width":0.015957447,"height":0.03830806},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"bounds":{"left":0.0039893617,"top":0.09577015,"width":0.007978723,"height":0.01915403},"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Source Control (⌃⇧G) - 10 pending changes","depth":19,"bounds":{"left":0.0,"top":0.1245012,"width":0.015957447,"height":0.03830806},"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"bounds":{"left":0.0039893617,"top":0.13407822,"width":0.007978723,"height":0.01915403},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"10","depth":22,"bounds":{"left":0.00831117,"top":0.1452514,"width":0.003656915,"height":0.008778931},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.00831117,"top":0.14604948,"width":0.0016622341,"height":0.007980846}},{"char_start":1,"char_count":1,"bounds":{"left":0.009973404,"top":0.14604948,"width":0.0023271276,"height":0.007980846}}],"role_description":"text"},{"role":"AXRadioButton","text":"Run and Debug 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place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
|
-5968857123425162020
|
2774729678109247237
|
idle
|
accessibility
|
NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt...
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21067
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NULL
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21071
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921
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6
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2026-05-11T17:09:07.011215+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519347011_m2.jpg...
|
Code
|
Implement and run pipe l… — screenpipe [SSH: nas]
|
True
|
NULL
|
monitor_2
|
NULL
|
NULL
|
NULL
|
NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
How it works:
Each
pipe.md
file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The "Read screenpipe skill first" line is stripped automatically.
The pipes directory inside Docker is
/data/pipes
(since
/volume1/screenpipe
→
/data
). You can override it with a
PIPES_DIR
env var if needed.
Message actions
pipe.md
pipe.md
where to place api key and can I use different keys
Thinking
Thinking
Bash
Read .env file
IN
cat /volume1/screenpipe/app/.env
Copy code to clipboard
OUT
[ENV_SECRET]
Where to place the key:
app/.env
app/.env
— replace
your_key_here
with your actual key:
Copy code to clipboard
[ENV_SECRET]
That file is loaded by
load_dotenv()
at startup and is excluded from git via
.gitignore
.
Can you use different keys per pipe?
Not currently — all pipes share the one key from
.env
. But you can add per-pipe key support by adding an
api_key
field to the pipe's frontmatter:
Copy code to clipboard
---
title: Meeting Summary
api_key_env: ANTHROPIC_KEY_MEETINGS
---
Then in
consumers/pipes.py
consumers/pipes.py
, read it in
_parse_frontmatter
and pass it through
run_pipe
. Want me to add that?
Message actions
pipe.md
pipe.md
can I use mistral or other llm? or is is build for antrophic only
Thinking
Thinking
Currently it's Anthropic-only — the code calls the
anthropic
SDK directly in both
consumers/pipes.py
consumers/pipes.py
and
consumers/summary.py
consumers/summary.py
.
Adding other providers is straightforward since Mistral, Ollama, OpenRouter, Groq, and most modern LLMs expose an OpenAI-compatible API. The cleanest approach: add the...
|
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code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\nfeatured: true\n---\n\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## AI Tools Used\n- List each tool with approximate time spent (e.g. \"Claude: ~45min\")\n\n## What I Used Them For\n- For each tool: coding, writing, research, or brainstorming\n\n## Usage Patterns\n- Do I switch between tools? Use them in bursts or steadily?\n\n## Effectiveness\n- Which tool appeared alongside completed work vs. abandoned attempts\n\nIf no AI usage is found, say so clearly. End with: \"**Tip:** [one suggestion to use AI tools more effectively]\"\n\n=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n\n=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.\n\n=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\nfeatured: true\n---\n\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Yesterday\n- What I worked on (name specific projects, files, tools, PRs)\n\n## Today\n- What I will work on next (based on unfinished tasks and recent activity)\n\n## Blockers\n- Issues I hit — errors, slow builds, waiting on someone\n- If no blockers, write \"None\"\n\nKeep it under 150 words. Copy-paste ready for a team standup.\n\n=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Time Breakdown\ndescription: \"Where your time went — by app, project, and category\"\nicon: \"⏱\"\nfeatured: false\n---\n\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\n\nRead screenpipe skill first.\n\nUse this exact format with durations and percentages:\n\n## By Application\n- List each app with duration and percentage, sorted by time (e.g. \"VS Code: 2h 15min (28%)\")\n\n## By Category\n- Group into: coding, meetings, browsing, writing, communication, other\n- Show hours and percentage per category\n\n## By Project\n- Group related activities by project/topic. Name specific repos or tasks.\n\n## Productivity Score\n- Calculate: focused_work_hours / total_hours as a percentage\n- Focused = coding + writing. Unfocused = browsing + switching.\n\nEnd with: \"**Suggestion:** [one specific change to improve tomorrow's productivity]\"\n\n=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\nfeatured: false\n---\n\nExport a video of my screen activity from the last 5 minutes.\n\nRead screenpipe skill first.\n\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\n\nIf the export is large, suggest a lower fps or shorter time range.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"GET /api/pipes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /api/pipes/{pipe_id}/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— a","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"command to run pipes from the terminal","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me build it:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check browser_urls signature","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/consumers/activity.py | grep \"def browser_urls\" -A 5","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"def browser_urls(\n for_date: date | None = None,\n app_name: str | None = None,\n ts_from: str | None = None,\n ts_to: str | None = None,\n limit: int = 30,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"pipes.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipes.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"143 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"\"\"Dynamic pipe loader and runner.\"\"\"\nimport os\nimport re\nfrom datetime import date\nfrom pathlib import Path\nfrom typing import Any\n\n\ndef _parse_frontmatter(text: str) -> tuple[dict, str]:\n if not text.startswith(\"---\"):\n return {}, text\n try:\n end = text.index(\"---\", 3)\n except ValueError:\n return {}, text\n fm_text = text[3:end].strip()\n body = text[end + 3:].strip()\n meta: dict = {}\n for line in fm_text.splitlines():\n if \":\" in line:\n k, _, v = line.partition(\":\")\n meta[k.strip()] = v.strip().strip('\"')\n return meta, body\n\n\ndef load_pipes(pipes_dir: Path) -> list[dict]:\n if not pipes_dir.exists():\n return []\n pipes = []\n for pipe_dir in sorted(pipes_dir.iterdir()):\n if not pipe_dir.is_dir() or pipe_dir.name.startswith(\".\"):\n continue\n pipe_md = pipe_dir / \"pipe.md\"\n if not pipe_md.exists():\n continue\n text = pipe_md.read_text(encoding=\"utf-8\")\n meta, body = _parse_frontmatter(text)\n if meta.get(\"enabled\", \"true\").lower() == \"false\":\n continue\n body = re.sub(r\"Read screenpipe skill first\\.?\\n?\", \"\", body).strip()\n pipes.append({\n \"id\": pipe_dir.name,\n \"title\": meta.get(\"title\", pipe_dir.name),\n \"description\": meta.get(\"description\", \"\"),\n \"icon\": meta.get(\"icon\", \"\"),\n \"schedule\": meta.get(\"schedule\", \"manual\"),\n \"featured\": meta.get(\"featured\", \"false\").lower() == \"true\",\n \"prompt\": body,\n })\n return pipes\n\n\ndef _build_system(d: date, stats: dict) -> str:\n from consumers.activity import app_time, browser_urls, ui_event_summary\n from consumers.ocr import deduplicated_text\n from consumers.audio import formatted_transcript\n\n apps = app_time(d)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(d, limit=20)\n url_lines = \"\\n\".join(f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls)\n\n ui_rows = ui_event_summary(d)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(d, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(d)\n if len(audio) > 3000:\n audio = audio[:3000]\n\n return f\"\"\"You are analyzing screenpipe data — recordings of a person's computer activity.\n\n## App usage (minutes per app):\n{app_lines or '(no app data)'}\n\n## Browser URLs visited:\n{url_lines or '(no browser data)'}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_lines or '(no UI event data)'}\n\n## Screen content (sampled every 5 minutes):\n{ocr_lines or '(no screen data)'}\n\n## Audio / speech:\n{audio or '(no audio data)'}\n\nDate: {d}\nTotal frames recorded: {stats['total_frames']}\"\"\"\n\n\ndef run_pipe(\n pipe_id: str,\n for_date: date | None = None,\n api_key: str | None = None,\n pipes_dir: Path | None = None,\n) -> dict[str, Any]:\n import anthropic\n from consumers.activity import summary_stats\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\"title\": \"Error\", \"content\": \"ANTHROPIC_API_KEY not set.\", \"date\": str(d)}\n\n _pipes_dir = pipes_dir or Path(os.environ.get(\"PIPES_DIR\", \"/data/pipes\"))\n all_pipes = {p[\"id\"]: p for p in load_pipes(_pipes_dir)}\n\n if pipe_id not in all_pipes:\n return {\"title\": \"Error\", \"content\": f\"Pipe not found: {pipe_id}\", \"date\": str(d)}\n\n pipe = all_pipes[pipe_id]\n stats = summary_stats(d)\n\n if stats[\"total_frames\"] == 0:\n return {\"title\": pipe[\"title\"], \"content\": f\"No screen data found for {d}.\", \"date\": str(d)}\n\n system = _build_system(d, stats)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n system=system,\n messages=[{\"role\": \"user\", \"content\": pipe[\"prompt\"]}],\n )\n\n return {\n \"title\": pipe[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the API endpoints to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the pipe endpoints at the end of main.py, before the closing summary section:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 14 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the CLI command to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 40 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Done. Here's how to run pipes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to run pipes","depth":22,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to run pipes","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via Docker (inside the running container):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"docker exec -it screenpipe-app python cli.py pipe --list\ndocker exec -it screenpipe-app python cli.py pipe day-recap\ndocker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(once the container is running on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List pipes\ncurl http://localhost:8766/api/pipes\n\n# Run a pipe\ncurl -X POST \"http://localhost:8766/api/pipes/day-recap/run\"\ncurl -X POST \"http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25\"","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Rebuild and restart","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to pick up the changes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app\ndocker compose up --build -d","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"How it works:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Each","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The \"Read screenpipe skill first\" line is stripped automatically.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The pipes directory inside Docker is","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data/pipes","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(since","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). You can override it with a","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PIPES_DIR","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"env var if needed.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"where to place api key and can I use different keys","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read .env file","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/.env","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Where to place the key:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"app/.env","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"app/.env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— replace","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with your actual key:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=sk-ant-...","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"That file is loaded by","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"load_dotenv()","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"at startup and is excluded from git via","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".gitignore","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Can you use different keys per pipe?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Not currently — all pipes share the one key from","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". But you can add per-pipe key support by adding an","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"api_key","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"field to the pipe's frontmatter:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"---\ntitle: Meeting Summary\napi_key_env: ANTHROPIC_KEY_MEETINGS\n---","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Then in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/pipes.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", read it in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"_parse_frontmatter","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and pass it through","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"run_pipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". Want me to add that?","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"can I use mistral or other llm? or is is build for antrophic only","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Currently it's Anthropic-only — the code calls the","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"anthropic","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SDK directly in both","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/pipes.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/summary.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Adding other providers is straightforward since Mistral, Ollama, OpenRouter, Groq, and most modern LLMs expose an OpenAI-compatible API. The cleanest approach: add the","depth":23,"on_screen":false,"role_description":"text"}]...
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2382478734108606323
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-8763776880662820632
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idle
|
accessibility
|
NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
How it works:
Each
pipe.md
file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The "Read screenpipe skill first" line is stripped automatically.
The pipes directory inside Docker is
/data/pipes
(since
/volume1/screenpipe
→
/data
). You can override it with a
PIPES_DIR
env var if needed.
Message actions
pipe.md
pipe.md
where to place api key and can I use different keys
Thinking
Thinking
Bash
Read .env file
IN
cat /volume1/screenpipe/app/.env
Copy code to clipboard
OUT
[ENV_SECRET]
Where to place the key:
app/.env
app/.env
— replace
your_key_here
with your actual key:
Copy code to clipboard
[ENV_SECRET]
That file is loaded by
load_dotenv()
at startup and is excluded from git via
.gitignore
.
Can you use different keys per pipe?
Not currently — all pipes share the one key from
.env
. But you can add per-pipe key support by adding an
api_key
field to the pipe's frontmatter:
Copy code to clipboard
---
title: Meeting Summary
api_key_env: ANTHROPIC_KEY_MEETINGS
---
Then in
consumers/pipes.py
consumers/pipes.py
, read it in
_parse_frontmatter
and pass it through
run_pipe
. Want me to add that?
Message actions
pipe.md
pipe.md
can I use mistral or other llm? or is is build for antrophic only
Thinking
Thinking
Currently it's Anthropic-only — the code calls the
anthropic
SDK directly in both
consumers/pipes.py
consumers/pipes.py
and
consumers/summary.py
consumers/summary.py
.
Adding other providers is straightforward since Mistral, Ollama, OpenRouter, Groq, and most modern LLMs expose an OpenAI-compatible API. The cleanest approach: add the...
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Implement and run pipe l… — screenpipe [SSH: nas]
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
How it works:
Each
pipe.md
file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The "Read screenpipe skill first" line is stripped automatically.
The pipes directory inside Docker is
/data/pipes
(since
/volume1/screenpipe
→
/data
). You can override it with a
PIPES_DIR
env var if needed.
Message actions
pipe.md
pipe.md
where to place api key and can I use different keys
Thinking
Thinking
Bash
Read .env file
IN
cat /volume1/screenpipe/app/.env
Copy code to clipboard
OUT
[ENV_SECRET]
Where to place the key:
app/.env
app/.env
— replace
your_key_here
with your actual key:
Copy code to clipboard
[ENV_SECRET]
That file is loaded by
load_dotenv()
at startup and is excluded from git via
.gitignore
.
Can you use different keys per pipe?
Not currently — all pipes share the one key from
.env
. But you can add per-pipe key support by adding an
api_key
field to the pipe's frontmatter:
Copy code to clipboard
---
title: Meeting Summary
api_key_env: ANTHROPIC_KEY_MEETINGS
---
Then in
consumers/pipes.py
consumers/pipes.py
, read it in
_parse_frontmatter
and pass it through
run_pipe
. Want me to add that?
Message actions
pipe.md
pipe.md
can I use mistral or other llm? or is is build for antrophic only
Thinking
Thinking
Currently it's Anthropic-only — the code calls the
anthropic
SDK directly in both
consumers/pipes.py
consumers/pipes.py
and
consumers/summary.py
consumers/summary.py
.
Adding other providers is straightforward since Mistral, Ollama, OpenRouter, Groq, and most modern LLMs expose an OpenAI-compatible API. The cleanest approach: add the
openai
package and let you configure the provider via
.env
:
Copy code to clipboard
# Anthropic (default)
[ENV_SECRET]
# OR: any OpenAI-compatible provider
LLM_PROVIDER=openai-compatible
LLM_BASE_URL=https://api.mistral.ai/v1
[ENV_SECRET]
LLM_MODEL=mistral-small-latest
This would cover Mistral, Ollama (
http://localhost:11434/v1
), OpenRouter, Groq, etc. with one code path.
Want me to implement that? It's a small change — a
_call_llm(system, user_prompt)
helper in
pipes.py
that branches on
LLM_PROVIDER...
|
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Branch/Tag...","depth":16,"bounds":{"left":0.030917553,"top":0.98244214,"width":0.023271276,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.031914894,"top":0.9848364,"width":0.005319149,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"master*","depth":17,"bounds":{"left":0.03723404,"top":0.9856345,"width":0.015957447,"height":0.011173184},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.03723404,"top":0.9856345,"width":0.0013297872,"height":0.011173184}},{"char_start":1,"char_count":6,"bounds":{"left":0.03856383,"top":0.9856345,"width":0.012965426,"height":0.011173184}}],"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - Synchronize Changes","depth":16,"bounds":{"left":0.05418883,"top":0.98244214,"width":0.00731383,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"No Problems","depth":16,"bounds":{"left":0.06416223,"top":0.98244214,"width":0.022606382,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.06582447,"top":0.9848364,"width":0.005319149,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"bounds":{"left":0.07114362,"top":0.9856345,"width":0.004986702,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.07579787,"top":0.9848364,"width":0.0056515955,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"bounds":{"left":0.08111702,"top":0.9856345,"width":0.0039893617,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Forwarded Ports: 8766","depth":16,"bounds":{"left":0.08843085,"top":0.98244214,"width":0.012632979,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.09009308,"top":0.9848364,"width":0.0056515955,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":17,"bounds":{"left":0.09541223,"top":0.9856345,"width":0.0039893617,"height":0.011173184},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Notifications","depth":16,"bounds":{"left":0.9886968,"top":0.98244214,"width":0.010638298,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sign In","depth":16,"bounds":{"left":0.9650931,"top":0.98244214,"width":0.022606382,"height":0.01755786},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.96675533,"top":0.9848364,"width":0.0056515955,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"bounds":{"left":0.97207445,"top":0.9856345,"width":0.013962766,"height":0.011173184},"on_screen":true,"lines":[{"char_start":0,"char_count":1,"bounds":{"left":0.97207445,"top":0.9856345,"width":0.0013297872,"height":0.011173184}},{"char_start":1,"char_count":6,"bounds":{"left":0.9734042,"top":0.9856345,"width":0.010638298,"height":0.011173184}}],"role_description":"text"},{"role":"AXStaticText","text":"Info: Setting up SSH Host nas: Setting up SSH tunnel","depth":12,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Implement and run pipe logic","depth":19,"bounds":{"left":0.56017286,"top":0.08060654,"width":0.07114362,"height":0.022346368},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":19,"bounds":{"left":0.9780585,"top":0.08060654,"width":0.00930851,"height":0.022346368},"on_screen":true,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":19,"bounds":{"left":0.9886968,"top":0.08060654,"width":0.00930851,"height":0.022346368},"on_screen":true,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"main.py","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lets implement logic with pipes. how can I run it?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me look at the current project structure to understand what's already in place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\nfeatured: true\n---\n\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## AI Tools Used\n- List each tool with approximate time spent (e.g. \"Claude: ~45min\")\n\n## What I Used Them For\n- For each tool: coding, writing, research, or brainstorming\n\n## Usage Patterns\n- Do I switch between tools? Use them in bursts or steadily?\n\n## Effectiveness\n- Which tool appeared alongside completed work vs. abandoned attempts\n\nIf no AI usage is found, say so clearly. End with: \"**Tip:** [one suggestion to use AI tools more effectively]\"\n\n=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n\n=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.\n\n=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\nfeatured: true\n---\n\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Yesterday\n- What I worked on (name specific projects, files, tools, PRs)\n\n## Today\n- What I will work on next (based on unfinished tasks and recent activity)\n\n## Blockers\n- Issues I hit — errors, slow builds, waiting on someone\n- If no blockers, write \"None\"\n\nKeep it under 150 words. Copy-paste ready for a team standup.\n\n=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Time Breakdown\ndescription: \"Where your time went — by app, project, and category\"\nicon: \"⏱\"\nfeatured: false\n---\n\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\n\nRead screenpipe skill first.\n\nUse this exact format with durations and percentages:\n\n## By Application\n- List each app with duration and percentage, sorted by time (e.g. \"VS Code: 2h 15min (28%)\")\n\n## By Category\n- Group into: coding, meetings, browsing, writing, communication, other\n- Show hours and percentage per category\n\n## By Project\n- Group related activities by project/topic. Name specific repos or tasks.\n\n## Productivity Score\n- Calculate: focused_work_hours / total_hours as a percentage\n- Focused = coding + writing. Unfocused = browsing + switching.\n\nEnd with: \"**Suggestion:** [one specific change to improve tomorrow's productivity]\"\n\n=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\nfeatured: false\n---\n\nExport a video of my screen activity from the last 5 minutes.\n\nRead screenpipe skill first.\n\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\n\nIf the export is large, suggest a lower fps or shorter time range.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"GET /api/pipes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /api/pipes/{pipe_id}/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— a","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"command to run pipes from the terminal","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me build it:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check browser_urls signature","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/consumers/activity.py | grep \"def browser_urls\" -A 5","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"def browser_urls(\n for_date: date | None = None,\n app_name: str | None = None,\n ts_from: str | None = None,\n ts_to: str | None = None,\n limit: int = 30,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"pipes.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipes.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"143 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"\"\"Dynamic pipe loader and runner.\"\"\"\nimport os\nimport re\nfrom datetime import date\nfrom pathlib import Path\nfrom typing import Any\n\n\ndef _parse_frontmatter(text: str) -> tuple[dict, str]:\n if not text.startswith(\"---\"):\n return {}, text\n try:\n end = text.index(\"---\", 3)\n except ValueError:\n return {}, text\n fm_text = text[3:end].strip()\n body = text[end + 3:].strip()\n meta: dict = {}\n for line in fm_text.splitlines():\n if \":\" in line:\n k, _, v = line.partition(\":\")\n meta[k.strip()] = v.strip().strip('\"')\n return meta, body\n\n\ndef load_pipes(pipes_dir: Path) -> list[dict]:\n if not pipes_dir.exists():\n return []\n pipes = []\n for pipe_dir in sorted(pipes_dir.iterdir()):\n if not pipe_dir.is_dir() or pipe_dir.name.startswith(\".\"):\n continue\n pipe_md = pipe_dir / \"pipe.md\"\n if not pipe_md.exists():\n continue\n text = pipe_md.read_text(encoding=\"utf-8\")\n meta, body = _parse_frontmatter(text)\n if meta.get(\"enabled\", \"true\").lower() == \"false\":\n continue\n body = re.sub(r\"Read screenpipe skill first\\.?\\n?\", \"\", body).strip()\n pipes.append({\n \"id\": pipe_dir.name,\n \"title\": meta.get(\"title\", pipe_dir.name),\n \"description\": meta.get(\"description\", \"\"),\n \"icon\": meta.get(\"icon\", \"\"),\n \"schedule\": meta.get(\"schedule\", \"manual\"),\n \"featured\": meta.get(\"featured\", \"false\").lower() == \"true\",\n \"prompt\": body,\n })\n return pipes\n\n\ndef _build_system(d: date, stats: dict) -> str:\n from consumers.activity import app_time, browser_urls, ui_event_summary\n from consumers.ocr import deduplicated_text\n from consumers.audio import formatted_transcript\n\n apps = app_time(d)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(d, limit=20)\n url_lines = \"\\n\".join(f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls)\n\n ui_rows = ui_event_summary(d)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(d, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(d)\n if len(audio) > 3000:\n audio = audio[:3000]\n\n return f\"\"\"You are analyzing screenpipe data — recordings of a person's computer activity.\n\n## App usage (minutes per app):\n{app_lines or '(no app data)'}\n\n## Browser URLs visited:\n{url_lines or '(no browser data)'}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_lines or '(no UI event data)'}\n\n## Screen content (sampled every 5 minutes):\n{ocr_lines or '(no screen data)'}\n\n## Audio / speech:\n{audio or '(no audio data)'}\n\nDate: {d}\nTotal frames recorded: {stats['total_frames']}\"\"\"\n\n\ndef run_pipe(\n pipe_id: str,\n for_date: date | None = None,\n api_key: str | None = None,\n pipes_dir: Path | None = None,\n) -> dict[str, Any]:\n import anthropic\n from consumers.activity import summary_stats\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\"title\": \"Error\", \"content\": \"ANTHROPIC_API_KEY not set.\", \"date\": str(d)}\n\n _pipes_dir = pipes_dir or Path(os.environ.get(\"PIPES_DIR\", \"/data/pipes\"))\n all_pipes = {p[\"id\"]: p for p in load_pipes(_pipes_dir)}\n\n if pipe_id not in all_pipes:\n return {\"title\": \"Error\", \"content\": f\"Pipe not found: {pipe_id}\", \"date\": str(d)}\n\n pipe = all_pipes[pipe_id]\n stats = summary_stats(d)\n\n if stats[\"total_frames\"] == 0:\n return {\"title\": pipe[\"title\"], \"content\": f\"No screen data found for {d}.\", \"date\": str(d)}\n\n system = _build_system(d, stats)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n system=system,\n messages=[{\"role\": \"user\", \"content\": pipe[\"prompt\"]}],\n )\n\n return {\n \"title\": pipe[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the API endpoints to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the pipe endpoints at the end of main.py, before the closing summary section:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 14 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the CLI command to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 40 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Done. Here's how to run pipes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to run pipes","depth":22,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to run pipes","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via Docker (inside the running container):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"docker exec -it screenpipe-app python cli.py pipe --list\ndocker exec -it screenpipe-app python cli.py pipe day-recap\ndocker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(once the container is running on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List pipes\ncurl http://localhost:8766/api/pipes\n\n# Run a pipe\ncurl -X POST \"http://localhost:8766/api/pipes/day-recap/run\"\ncurl -X POST \"http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25\"","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Rebuild and restart","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to pick up the changes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app\ndocker compose up --build -d","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"How it works:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Each","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The \"Read screenpipe skill first\" line is stripped automatically.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The pipes directory inside Docker is","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data/pipes","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(since","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). You can override it with a","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PIPES_DIR","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"env var if needed.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"where to place api key and can I use different keys","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read .env file","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/.env","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Where to place the key:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"app/.env","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"app/.env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— replace","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with your actual key:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=sk-ant-...","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"That file is loaded by","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"load_dotenv()","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"at startup and is excluded from git via","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".gitignore","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Can you use different keys per pipe?","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Not currently — all pipes share the one key from","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". But you can add per-pipe key support by adding an","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"api_key","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"field to the pipe's frontmatter:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"---\ntitle: Meeting Summary\napi_key_env: ANTHROPIC_KEY_MEETINGS\n---","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Then in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/pipes.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", read it in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"_parse_frontmatter","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and pass it through","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"run_pipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":". Want me to add that?","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"can I use mistral or other llm? or is is build for antrophic only","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Currently it's Anthropic-only — the code calls the","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"anthropic","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"SDK directly in both","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/pipes.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"consumers/summary.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Adding other providers is straightforward since Mistral, Ollama, OpenRouter, Groq, and most modern LLMs expose an OpenAI-compatible API. The cleanest approach: add the","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"openai","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"package and let you configure the provider via","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# Anthropic (default)\nANTHROPIC_API_KEY=sk-ant-...\n\n# OR: any OpenAI-compatible provider\nLLM_PROVIDER=openai-compatible\nLLM_BASE_URL=https://api.mistral.ai/v1\nLLM_API_KEY=your-mistral-key\nLLM_MODEL=mistral-small-latest","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"This would cover Mistral, Ollama (","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"http://localhost:11434/v1","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"), OpenRouter, Groq, etc. with one code path.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Want me to implement that? It's a small change — a","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"_call_llm(system, user_prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"helper in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipes.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"that branches on","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"LLM_PROVIDER","depth":24,"on_screen":false,"role_description":"text"}]...
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-8196324427125765908
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idle
|
accessibility
|
NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
[ENV_SECRET]
[ENV_SECRET]
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partition(":")
meta[k.strip()] = v.strip().strip('"')
return meta, body
def load_pipes(pipes_dir: Path) -> list[dict]:
if not pipes_dir.exists():
return []
pipes = []
for pipe_dir in sorted(pipes_dir.iterdir()):
if not pipe_dir.is_dir() or pipe_dir.name.startswith("."):
continue
pipe_md = pipe_dir / "pipe.md"
if not pipe_md.exists():
continue
text = pipe_md.read_text(encoding="utf-8")
meta, body = _parse_frontmatter(text)
if meta.get("enabled", "true").lower() == "false":
continue
body = re.sub(r"Read screenpipe skill first\.?\n?", "", body).strip()
pipes.append({
"id": pipe_dir.name,
"title": meta.get("title", pipe_dir.name),
"description": meta.get("description", ""),
"icon": meta.get("icon", ""),
"schedule": meta.get("schedule", "manual"),
"featured": meta.get("featured", "false").lower() == "true",
"prompt": body,
})
return pipes
def _build_system(d: date, stats: dict) -> str:
from consumers.activity import app_time, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
apps = app_time(d)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(d, limit=20)
url_lines = "\n".join(f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls)
ui_rows = ui_event_summary(d)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(d, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(d)
if len(audio) > 3000:
audio = audio[:3000]
return f"""You are analyzing screenpipe data — recordings of a person's computer activity.
## App usage (minutes per app):
{app_lines or '(no app data)'}
## Browser URLs visited:
{url_lines or '(no browser data)'}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_lines or '(no UI event data)'}
## Screen content (sampled every 5 minutes):
{ocr_lines or '(no screen data)'}
## Audio / speech:
{audio or '(no audio data)'}
Date: {d}
Total frames recorded: {stats['total_frames']}"""
def run_pipe(
pipe_id: str,
for_date: date | None = None,
api_key: str | None = None,
pipes_dir: Path | None = None,
) -> dict[str, Any]:
import anthropic
from consumers.activity import summary_stats
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {"title": "Error", "content": "ANTHROPIC_API_KEY not set.", "date": str(d)}
_pipes_dir = pipes_dir or Path(os.environ.get("PIPES_DIR", "/data/pipes"))
all_pipes = {p["id"]: p for p in load_pipes(_pipes_dir)}
if pipe_id not in all_pipes:
return {"title": "Error", "content": f"Pipe not found: {pipe_id}", "date": str(d)}
pipe = all_pipes[pipe_id]
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {"title": pipe["title"], "content": f"No screen data found for {d}.", "date": str(d)}
system = _build_system(d, stats)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
system=system,
messages=[{"role": "user", "content": pipe["prompt"]}],
)
return {
"title": pipe["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Now add the API endpoints to
main.py
:
Edit
main.py
main.py
Added 1 line
Edit
main.py
main.py
Added 1 line
Now add the pipe endpoints at the end of main.py, before the closing summary section:
Edit
main.py
main.py
Added 14 lines
Now add the CLI command to
cli.py
cli.py
:
Edit
cli.py
cli.py
Added 40 lines
Done. Here's how to run pipes:
How to run pipes
How to run pipes
Via Docker (inside the running container):
Copy code to clipboard
docker exec -it screenpipe-app python cli.py pipe --list
docker exec -it screenpipe-app python cli.py pipe day-recap
docker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday
Via the API
(once the container is running on port 8766):
Copy code to clipboard
# List pipes
curl http://localhost:8766/api/pipes
# Run a pipe
curl -X POST "http://localhost:8766/api/pipes/day-recap/run"
curl -X POST "http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25"
Rebuild and restart
to pick up the changes:
Copy code to clipboard
cd /volume1/screenpipe/app
docker compose up --build -d
How it works:
Each
pipe.md
file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The "Read screenpipe skill first" line is stripped automatically.
The pipes directory inside Docker is
/data/pipes
(since
/volume1/screenpipe
→
/data
). You can override it with a
PIPES_DIR
env var if needed.
Message actions
pipe.md
pipe.md
where to place api key and can I use different keys
Thinking
Thinking
Bash
Read .env file
IN
cat /volume1/screenpipe/app/.env
Copy code to clipboard
OUT
[ENV_SECRET]
Where to place the key:
app/.env
app/.env
— replace
your_key_here
with your actual key:
Copy code to clipboard
[ENV_SECRET]
That file is loaded by
load_dotenv()
at startup and is excluded from git via
.gitignore
.
Can you use different keys per pipe?
Not currently — all pipes share the one key from
.env
. But you can add per-pipe key support by adding an
api_key
field to the pipe's frontmatter:
Copy code to clipboard
---
title: Meeting Summary
api_key_env: ANTHROPIC_KEY_MEETINGS
---
Then in
consumers/pipes.py
consumers/pipes.py
, read it in
_parse_frontmatter
and pass it through
run_pipe
. Want me to add that?
Message actions
pipe.md
pipe.md
can I use mistral or other llm? or is is build for antrophic only
Thinking
Thinking
Currently it's Anthropic-only — the code calls the
anthropic
SDK directly in both
consumers/pipes.py
consumers/pipes.py
and
consumers/summary.py
consumers/summary.py
.
Adding other providers is straightforward since Mistral, Ollama, OpenRouter, Groq, and most modern LLMs expose an OpenAI-compatible API. The cleanest approach: add the
openai
package and let you configure the provider via
.env
:
Copy code to clipboard
# Anthropic (default)
[ENV_SECRET]
# OR: any OpenAI-compatible provider
LLM_PROVIDER=openai-compatible
LLM_BASE_URL=https://api.mistral.ai/v1
[ENV_SECRET]
LLM_MODEL=mistral-small-latest
This would cover Mistral, Ollama (
http://localhost:11434/v1
), OpenRouter, Groq, etc. with one code path.
Want me to implement that? It's a small change — a
_call_llm(system, user_prompt)
helper in
pipes.py
that branches on
LLM_PROVIDER...
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|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519407803_m2.jpg...
|
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|
Implement and run pipe l… — screenpipe [SSH: nas]
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section...
|
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5052856627539010827
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-5480260736288902784
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idle
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accessibility
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NULL
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
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Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
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M
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Dockerfile
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logs
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archive.db-bak
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Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
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cli.py
M
db.py
docker-compose.yml
Dockerfile
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main.py
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logs
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db.sqlite-wal
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screenpipe_sync.sh
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Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
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EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
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Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
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Last login: Thu May 7 09:44:56 on ttys007
Poetry Last login: Thu May 7 09:44:56 on ttys007
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20773-fix-automated-reports-user-pilot-tracking) $ git status
On branch master
Your branch is up to date with 'origin/master'.
Changes not staged for commit:
(use "git add <file>..." to update what will be committed)
(use "git restore <file>..." to discard changes in working directory)
modified: .env.local
modified: app/Console/Commands/JiminnyDebugCommand.php
modified: app/Jobs/Team/SyncToIntercom.php
modified: app/Services/PlaybackService.php
modified: config/logging.php
modified: resources/views/partials/crm/push-summary/html-assembly.blade.php
Untracked files:
(use "git add <file>..." to include in what will be committed)
.env.nikilocal
.env.other
WEBHOOK_FILTERING_IMPLEMENTATION.md
app/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php
app/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php
ids.txt
public/favicon.ico
raw_sql_query.sql
tests/Unit/Policies/CanAccessAiReportsTest.php
no changes added to commit (use "git add" and/or "git commit -a")
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 1482, done.
remote: Counting objects: 100% (481/481), done.
remote: Compressing objects: 100% (191/191), done.
remote: Total 1482 (delta 349), reused 305 (delta 289), pack-reused 1001 (from 4)
Receiving objects: 100% (1482/1482), 1017.97 KiB | 1.44 MiB/s, done.
Resolving deltas: 100% (877/877), completed with 96 local objects.
From github.com:jiminny/app
83b628967a..ad2ce76737 master -> origin/master
1ee8cbcb7b..14f54b5be2 JY-17836-participant-speeches-in-s3 -> origin/JY-17836-participant-speeches-in-s3
5662c3b32f..b167b19973 JY-20289-api-tests -> origin/JY-20289-api-tests
b40408cfad..f23cfee7c3 JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null -> origin/JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null
* [new branch] JY-20395-fix-memory-issue-with-mail-import -> origin/JY-20395-fix-memory-issue-with-mail-import
* [new branch] JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
* [new branch] JY-20662-remove-word-boost -> origin/JY-20662-remove-word-boost
* [new branch] JY-20742-mcp-poc -> origin/JY-20742-mcp-poc
* [new branch] make-claude-great-again -> origin/make-claude-great-again
* [new branch] secfix/composer-20260507 -> origin/secfix/composer-20260507
* [new branch] secfix/npm-20260507 -> origin/secfix/npm-20260507
Updating 83b628967a..ad2ce76737
error: Your local changes to the following files would be overwritten by merge:
app/Jobs/Team/SyncToIntercom.php
resources/views/partials/crm/push-summary/html-assembly.blade.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 83b628967a..ad2ce76737
error: Your local changes to the following files would be overwritten by merge:
app/Jobs/Team/SyncToIntercom.php
resources/views/partials/crm/push-summary/html-assembly.blade.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 83b628967a..ad2ce76737
error: Your local changes to the following files would be overwritten by merge:
app/Jobs/Team/SyncToIntercom.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 83b628967a..ad2ce76737
Fast-forward
.cursor/rules/frontend-conventions.mdc | 23 ++
.env.production-eu | 2 +-
.env.staging | 2 +-
Makefile | 10 +
app/Component/ActivityAnalytics/Service/ActivityAnalyticsService.php | 6 +-
app/Component/AiAutomation/Repositories/AiTemplateFieldsRepository.php | 32 +-
app/Component/AiCallScoring/Repositories/AiScorecardRepository.php | 56 ++--
app/Component/AskAnything/AskAnythingPromptService.php | 3 +
app/Component/Transcription/Job/FinishTranscriptionJob.php | 37 ++-
app/Component/Transcription/TranscriptionProcessor/Gong/Gong.php | 18 +-
app/Component/Twilio/Conference/ConferenceManager/SoftPhoneManager.php | 4 +-
app/Component/Twilio/Service/SoftPhoneService.php | 124 ++++---
app/Component/Twilio/TwilioRepository.php | 27 ++
app/Console/Commands/CoachingFeedbacksUpdateEsActivities.php | 59 ----
app/Console/Commands/Reports/AutomatedReportsCommand.php | 122 +++++--
app/Console/Commands/RunAiCallScoringForUntypedActivitiesCommand.php | 200 ++++++++++++
app/Console/Commands/UpdateActivitiesAverageScoreExcludingFeedbacksNotSetVisibleToAll.php | 60 ----
app/Console/Commands/Users/SyncToIntercom.php | 4 +-
app/Console/Kernel.php | 3 +-
app/Contracts/ES/Events/UpdateMultipleEntities.php | 4 -
app/Contracts/ES/Events/UpdateSingleEntity.php | 4 -
app/Contracts/Repositories/TeamRepository.php | 3 +-
app/Events/Activities/ActivityUpdated.php | 10 +-
app/Events/Activities/Audio/RecordingEvent.php | 6 +-
app/Events/Activities/Softphone/Ended.php | 8 +-
app/Events/Activities/Softphone/SoftphoneEvent.php | 24 +-
app/Events/Activities/Softphone/Started.php | 8 +-
app/Http/Controllers/API/ActivityController.php | 17 +-
app/Http/Controllers/API/SoftphoneController.php | 9 +-
app/Http/Controllers/API/UserAutomatedReports/UserAutomatedReportsController.php | 19 +-
app/Http/Controllers/API/V2/AskAnythingController.php | 2 +-
app/Http/Controllers/Auth/SocialController.php | 6 +-
app/Http/Controllers/Kiosk/AutomatedReportsController.php | 38 ++-
app/Http/Controllers/Kiosk/OrganizationsController.php | 8 +-
app/Http/Controllers/Kiosk/PartnersController.php | 46 +++
app/Http/Controllers/Kiosk/SearchController.php | 8 +
app/Http/Controllers/Kiosk/Teams/OnboardController.php | 24 +-
app/Http/Controllers/Settings/Teams/IntegrationController.php | 6 +-
app/Http/Controllers/TeamSetupController.php | 4 +-
app/Http/Controllers/Telephony/TextMessaging/MessageController.php | 12 +-
app/Http/Controllers/Telephony/TextMessaging/WebhookController.php | 18 +-
app/Http/Requests/Settings/Teams/CreateTeamRequest.php | 1 +
app/Http/Requests/Settings/Teams/EditTeamRequest.php | 1 +
app/Http/Transformers/ActivityTransformer.php | 4 +-
app/Http/Transformers/OnDemandActivitiesTransformer.php | 2 +-
app/Http/Transformers/PartnerTransformer.php | 1 +
app/Http/Transformers/StageTransformer.php | 6 +-
app/Http/Transformers/UserTransformer.php | 11 +-
app/Interactions/Settings/Teams/CreateTeam.php | 3 +
app/Jobs/AutomatedReports/RequestGenerateAskJiminnyReportJob.php | 80 ++++-
app/Jobs/AutomatedReports/SendReportExpiringSoonMailJob.php | 119 +++++++
app/Jobs/AutomatedReports/SendReportNotGeneratedMailJob.php | 89 +++++
app/Jobs/Crm/Hubspot/ImportBatchJobTrait.php | 12 +-
app/Jobs/Crm/UpdateStage.php | 3 +
app/Jobs/Team/SyncToIntercom.php | 7 +-
app/Listeners/Teams/SyncIntercomCompany.php | 5 +-
app/Listeners/Teams/UpdateSalesforceAccount.php | 8 +-
app/Listeners/Users/SyncIntercom.php | 5 +-
app/Mail/Reports/AskJiminnyReportExpiringMail.php | 40 +++
app/Mail/Reports/ReportNotGenerated.php | 41 +++
app/Models/Activity.php | 25 +-
app/Models/Activity/Question.php | 14 +-
app/Models/Activity/Search.php | 7 +
app/Models/AskAnything/AskAnythingPrompt.php | 6 +
app/Models/AutomatedReport.php | 10 +
app/Models/CoachingFeedback.php | 44 ++-
app/Models/ElasticSearch/ActivityElasticSearchTrait.php | 86 +----
app/Models/ElasticSearch/OpportunityElasticSearchTrait.php | 71 ----
app/Models/ElasticSearch/SharedDocumentDeleteTrait.php | 27 --
app/Models/Partner.php | 13 +
app/Models/Playlist/Activity.php | 14 +-
app/Notifications/OwnerInvitedToTrial.php | 14 +-
app/Policies/UserPolicy.php | 16 +-
app/Queue/Worker/Worker.php | 3 +-
app/Repositories/ActivityRepository.php | 13 +-
app/Repositories/AutomatedReportsRepository.php | 42 ++-
app/Repositories/TeamRepository.php | 21 +-
app/Repositories/UserRepository.php | 2 +-
app/Services/Activity/MeetingBotService.php | 8 +-
app/Services/ActivityService.php | 111 ++-----
app/Services/Crm/Hubspot/Service.php | 36 +-
app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 2 +-
app/Services/Kiosk/AutomatedReports/AskJiminnyReportActivityService.php | 5 +-
app/Services/Kiosk/AutomatedReports/AutomatedReportsService.php | 49 +--
app/Services/Kiosk/KioskService.php | 7 +-
app/Services/Webhook/Triggers/AiScorecardCompletedTrigger.php | 13 +-
app/UseCases/TeamInsights/ConversationRowMapper.php | 78 +++++
app/UseCases/TeamInsights/RecordingOutcomeTextResolver.php | 68 ++++
app/UseCases/TeamInsights/StrictConsentColumnResolver.php | 45 +++
app/UseCases/TeamInsights/TeamConversationsExport.php | 154 ++++-----
composer.json | 1 -
composer.lock | 95 +-----
config/secure-headers.php | 5 +-
database/mappings/mapping_activities.json | 16 +
database/migrations/2026_04_14_000000_add_rockeed_partner.php | 51 +++
database/migrations/2026_04_22_000000_add_success_email_to_partners.php | 26 ++
database/migrations/2026_04_27_000000_add_label_to_partners.php | 28 ++
database/migrations/2026_04_29_105053_move_ask_jiminny_reports_to_grow_tier.php | 79 +++++
front-end/package.json | 5 +-
front-end/src/__mocks__/jiminny.js | 4 +-
front-end/src/__mocks__/kit/endpoints/automated-reports-promo.js | 9 +
front-end/src/__mocks__/setup.js | 1 +
front-end/src/apps/ai-reports-promo.js | 22 ++
front-end/src/components/AiReports/AiReportsPromo.vue | 22 ++
front-end/src/components/AiReports/AutomatedReportsPromo/AutomatedReportsPromo.vue | 190 +++++++++++
front-end/src/components/AiReports/AutomatedReportsPromo/PromoCard.vue | 111 +++++++
front-end/src/components/AiReports/AutomatedReportsPromo/WhyItMattersCard.vue | 103 ++++++
front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/AutomatedReportsPromo.spec.js | 98 ++++++
.../src/components/AiReports/AutomatedReportsPromo/__tests__/__snapshots__/automated-reports-promo.output.html | 283 ++++++++++++++++
front-end/src/components/AiReports/Manage/ManageAiReports.vue | 8 +-
front-end/src/components/AiReports/PanoramaReportsPromo/PanoramaReportsPromo.vue | 228 +++++++++++++
front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/PanoramaReportsPromo.spec.js | 71 ++++
.../src/components/AiReports/PanoramaReportsPromo/__tests__/__snapshots__/panorama-reports-promo.output.html | 217 ++++++++++++
front-end/src/components/AiReports/constants.js | 7 +
front-end/src/components/Settings/Kiosk/OrganizationSearch/Organizations.vue | 1 +
front-end/src/components/Settings/Kiosk/__mocks__/Jiminny.js | 1 +
front-end/src/components/Settings/Kiosk/modals/EditTeamModal/EditTeamModal.vue | 43 ++-
front-end/src/components/Settings/Kiosk/modals/EditTeamModal/__tests__/EditTeamModal.spec.js | 203 ++++++++++++
front-end/src/components/Settings/Kiosk/shared/Navigation/Navigation.vue | 3 +
front-end/src/components/Settings/Kiosk/shared/Navigation/__tests__/Navigation.spec.js | 67 ++++
front-end/src/components/TeamInsights/CoachingFrameworks/AICallScoring/aiCallScoringOverTime.ts | 4 +-
front-end/src/components/TeamInsights/CoachingFrameworks/UsersList.vue | 2 +-
front-end/src/components/layout/Sidebar/HelpMenu.vue | 25 +-
front-end/src/components/layout/Sidebar/Sidebar.vue | 27 +-
front-end/src/components/layout/Sidebar/__tests__/HelpMenu.spec.js | 94 ++++++
front-end/src/components/layout/Sidebar/__tests__/__snapshots__/Sidebar.spec.js.snap | 4 +-
front-end/src/components/layout/Sidebar/__tests__/useAiReportsSidebarButton.spec.js | 204 ++++++++++++
front-end/src/components/layout/Sidebar/useAiReportsSidebarButton.js | 49 +++
front-end/src/main.js | 1 +
front-end/src/store/modules/TeamInsights/util.js | 1 +
front-end/src/store/modules/platform/__tests__/getters.spec.js | 22 ++
front-end/src/store/modules/platform/getters.js | 3 +
front-end/src/utils/index.js | 11 +
front-end/yarn.lock | 21 +-
phpstan-baseline.neon | 60 ----
public/pdf/exec-reports/com/coaching-profiles.pdf | Bin 0 -> 1531178 bytes
public/pdf/exec-reports/com/exec-summary.pdf | Bin 0 -> 2237381 bytes
public/pdf/exec-reports/com/loss-report.pdf | Bin 0 -> 1955343 bytes
public/pdf/exec-reports/com/product-feedback.pdf | Bin 0 -> 2184417 bytes
public/pdf/exec-reports/eu/coaching-profiles.pdf | Bin 0 -> 1528704 bytes
public/pdf/exec-reports/eu/exec-summary.pdf | Bin 0 -> 2296741 bytes
public/pdf/exec-reports/eu/loss-report.pdf | Bin 0 -> 1955808 bytes
public/pdf/exec-reports/eu/product-feedback.pdf | Bin 0 -> 2184083 bytes
resources/views/emails/reports/ask-jiminny-report-expiring.blade.php | 22 ++
resources/views/emails/reports/report-not-generated.blade.php | 24 ++
resources/views/partials/crm/push-summary/html-assembly.blade.php | 2 +-
routes/api.php | 6 +
routes/web.php | 4 +
tests/Feature/Policies/UserPolicyTest.php | 90 ++++-
tests/Unit/Component/ActivityAnalytics/Service/ActivityAnalyticsServiceTest.php | 40 +++
tests/Unit/Component/AskAnything/AskAnythingPromptServiceTest.php | 26 ++
tests/Unit/Component/Transcription/Job/FinishTranscriptionJobTest.php | 276 ++++++++++++++++
tests/Unit/Component/Transcription/TranscriptionProcessor/Gong/GongTest.php | 375 +++++++++++++++++++++
tests/Unit/Component/Twilio/Service/SoftPhoneServiceTest.php | 1014 +++++++++++++++++++++++++++++++++++++++++++++++++++++++--
tests/Unit/Console/Commands/Reports/AutomatedReportsCommandTest.php | 157 ++++++++-
tests/Unit/Events/Activities/Audio/RecordingEventTest.php | 72 ++++
tests/Unit/Events/Activities/Softphone/EndedTest.php | 86 +++++
tests/Unit/Events/Activities/Softphone/SoftphoneEventTest.php | 88 +++++
tests/Unit/Events/Activities/Softphone/StartedTest.php | 86 +++++
tests/Unit/Http/Controllers/Kiosk/AutomatedReportsControllerTest.php | 99 ++++++
tests/Unit/Http/Transformers/ActivityTransformerTest.php | 5 +-
tests/Unit/Http/Transformers/PartnerTransformerTest.php | 34 ++
tests/Unit/Interactions/Settings/Teams/CreateTeamTest.php | 49 +++
tests/Unit/Jobs/AutomatedReports/RequestGenerateAskJiminnyReportJobTest.php | 106 +++++-
tests/Unit/Jobs/AutomatedReports/SendReportExpiringSoonMailJobTest.php | 205 ++++++++++++
tests/Unit/Jobs/AutomatedReports/SendReportNotGeneratedMailJobTest.php | 188 +++++++++++
tests/Unit/Jobs/Crm/ImportOpportunityBatchTest.php | 2 +-
tests/Unit/Jobs/Team/SyncToIntercomTest.php | 6 +
tests/Unit/Listeners/Teams/SyncIntercomCompanyTest.php | 59 ++++
tests/Unit/Listeners/Teams/UpdateSalesforceAccountTest.php | 11 +-
tests/Unit/Listeners/Users/SyncIntercomTest.php | 59 ++++
tests/Unit/Mail/Reports/ReportNotGeneratedTest.php | 166 ++++++++++
tests/Unit/Models/PartnerTest.php | 28 ++
tests/Unit/Repositories/AutomatedReportsRepositoryTest.php | 68 ++++
tests/Unit/Services/Activity/MeetingBotServiceRequestRecordingToStopTest.php | 14 +-
tests/Unit/Services/ActivityServiceTest.php | 391 ++++++++++++++++++++++
tests/Unit/Services/Crm/Hubspot/ServiceResponseNormalizeTest.php | 68 ++--
tests/Unit/Services/Kiosk/AutomatedReports/AskJiminnyReportActivityServiceTest.php | 48 +--
tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceActivitiesCountTest.php | 16 +-
tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceReportGenerationTest.php | 24 +-
tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceTest.php | 130 ++++++++
tests/Unit/Services/KioskServiceTest.php | 8 +
tests/Unit/Services/Webhook/Triggers/AiScorecardCompletedTriggerTest.php | 6 +-
tests/Unit/UseCases/TeamInsights/RecordingOutcomeTextResolverTest.php | 119 +++++++
tests/Unit/UseCases/TeamInsights/StrictConsentColumnResolverTest.php | 108 ++++++
tests/Unit/UseCases/TeamInsights/TeamConversationsExportTest.php | 342 ++++++++++++++-----
186 files changed, 8538 insertions(+), 1233 deletions(-)
create mode 100644 app/Component/Twilio/TwilioRepository.php
delete mode 100644 app/Console/Commands/CoachingFeedbacksUpdateEsActivities.php
create mode 100644 app/Console/Commands/RunAiCallScoringForUntypedActivitiesCommand.php
delete mode 100644 app/Console/Commands/UpdateActivitiesAverageScoreExcludingFeedbacksNotSetVisibleToAll.php
create mode 100644 app/Http/Controllers/Kiosk/PartnersController.php
create mode 100644 app/Jobs/AutomatedReports/SendReportExpiringSoonMailJob.php
create mode 100644 app/Jobs/AutomatedReports/SendReportNotGeneratedMailJob.php
create mode 100644 app/Mail/Reports/AskJiminnyReportExpiringMail.php
create mode 100644 app/Mail/Reports/ReportNotGenerated.php
delete mode 100644 app/Models/ElasticSearch/SharedDocumentDeleteTrait.php
create mode 100644 app/UseCases/TeamInsights/ConversationRowMapper.php
create mode 100644 app/UseCases/TeamInsights/RecordingOutcomeTextResolver.php
create mode 100644 app/UseCases/TeamInsights/StrictConsentColumnResolver.php
create mode 100644 database/migrations/2026_04_14_000000_add_rockeed_partner.php
create mode 100644 database/migrations/2026_04_22_000000_add_success_email_to_partners.php
create mode 100644 database/migrations/2026_04_27_000000_add_label_to_partners.php
create mode 100644 database/migrations/2026_04_29_105053_move_ask_jiminny_reports_to_grow_tier.php
create mode 100644 front-end/src/__mocks__/kit/endpoints/automated-reports-promo.js
create mode 100644 front-end/src/apps/ai-reports-promo.js
create mode 100644 front-end/src/components/AiReports/AiReportsPromo.vue
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/AutomatedReportsPromo.vue
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/PromoCard.vue
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/WhyItMattersCard.vue
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/AutomatedReportsPromo.spec.js
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/__snapshots__/automated-reports-promo.output.html
create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/PanoramaReportsPromo.vue
create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/PanoramaReportsPromo.spec.js
create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/__snapshots__/panorama-reports-promo.output.html
create mode 100644 front-end/src/components/Settings/Kiosk/modals/EditTeamModal/__tests__/EditTeamModal.spec.js
create mode 100644 front-end/src/components/Settings/Kiosk/shared/Navigation/__tests__/Navigation.spec.js
create mode 100644 front-end/src/components/layout/Sidebar/__tests__/HelpMenu.spec.js
create mode 100644 front-end/src/components/layout/Sidebar/__tests__/useAiReportsSidebarButton.spec.js
create mode 100644 front-end/src/components/layout/Sidebar/useAiReportsSidebarButton.js
create mode 100644 front-end/src/store/modules/platform/__tests__/getters.spec.js
create mode 100644 public/pdf/exec-reports/com/coaching-profiles.pdf
create mode 100644 public/pdf/exec-reports/com/exec-summary.pdf
create mode 100644 public/pdf/exec-reports/com/loss-report.pdf
create mode 100644 public/pdf/exec-reports/com/product-feedback.pdf
create mode 100644 public/pdf/exec-reports/eu/coaching-profiles.pdf
create mode 100644 public/pdf/exec-reports/eu/exec-summary.pdf
create mode 100644 public/pdf/exec-reports/eu/loss-report.pdf
create mode 100644 public/pdf/exec-reports/eu/product-feedback.pdf
create mode 100644 resources/views/emails/reports/ask-jiminny-report-expiring.blade.php
create mode 100644 resources/views/emails/reports/report-not-generated.blade.php
create mode 100644 tests/Unit/Component/Transcription/Job/FinishTranscriptionJobTest.php
create mode 100644 tests/Unit/Component/Transcription/TranscriptionProcessor/Gong/GongTest.php
create mode 100644 tests/Unit/Events/Activities/Audio/RecordingEventTest.php
create mode 100644 tests/Unit/Events/Activities/Softphone/EndedTest.php
create mode 100644 tests/Unit/Events/Activities/Softphone/SoftphoneEventTest.php
create mode 100644 tests/Unit/Events/Activities/Softphone/StartedTest.php
create mode 100644 tests/Unit/Http/Transformers/PartnerTransformerTest.php
create mode 100644 tests/Unit/Jobs/AutomatedReports/SendReportExpiringSoonMailJobTest.php
create mode 100644 tests/Unit/Jobs/AutomatedReports/SendReportNotGeneratedMailJobTest.php
create mode 100644 tests/Unit/Listeners/Teams/SyncIntercomCompanyTest.php
create mode 100644 tests/Unit/Listeners/Users/SyncIntercomTest.php
create mode 100644 tests/Unit/Mail/Reports/ReportNotGeneratedTest.php
create mode 100644 tests/Unit/Models/PartnerTest.php
create mode 100644 tests/Unit/Services/ActivityServiceTest.php
create mode 100644 tests/Unit/UseCases/TeamInsights/RecordingOutcomeTextResolverTest.php
create mode 100644 tests/Unit/UseCases/TeamInsights/StrictConsentColumnResolverTest.php
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 628, done.
remote: Counting objects: 100% (331/331), done.
remote: Compressing objects: 100% (63/63), done.
remote: Total 628 (delta 280), reused 274 (delta 266), pack-reused 297 (from 1)
Receiving objects: 100% (628/628), 186.75 KiB | 1.23 MiB/s, done.
Resolving deltas: 100% (391/391), completed with 57 local objects.
From github.com:jiminny/app
ad2ce76737..12295204cf master -> origin/master
14f54b5be2..5e7646e5f9 JY-17836-participant-speeches-in-s3 -> origin/JY-17836-participant-speeches-in-s3
b167b19973..acba55cf38 JY-20289-api-tests -> origin/JY-20289-api-tests
f23cfee7c3..e5a3ec5dba JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null -> origin/JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null
af59d60926..766efba1c5 JY-20395-fix-memory-issue-with-mail-import -> origin/JY-20395-fix-memory-issue-with-mail-import
* [new branch] JY-20493-smart-instant-nudge-pre-filtering -> origin/JY-20493-smart-instant-nudge-pre-filtering
1737b7c528..c57e71e763 JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
* [new branch] JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech
+ ba181441c6...20a74137b0 JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)
* [new branch] JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue
* [new branch] JY-20816-calendar-events-diplication -> origin/JY-20816-calendar-events-diplication
* [new branch] desktop-app -> origin/desktop-app
4c4c974e46..185442c26e make-claude-great-again -> origin/make-claude-great-again
* [new branch] mcp-tools-schemas -> origin/mcp-tools-schemas
Updating ad2ce76737..12295204cf
Fast-forward
app/Component/Encoding/Job/AnalyzeTrackChannelsJob.php | 2 +-
app/Component/Transcription/TranscriptionProcessor/AssemblyAI/Services/SubmitAudioFileService.php | 66 ++----------------------------------------------------------------
app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 24 +++++++++++++++++-------
tests/Unit/Console/Commands/Tracks/CleanupActivityTracksCommandTest.php | 40 +++++++++++++++++++++++++++++-----------
tests/Unit/fixtures/assembly_ai_transcript_response.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_channel_diarization.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_language.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_language_error.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_language_not_ready.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_language_post.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_without_utterances.json | 1 -
11 files changed, 49 insertions(+), 90 deletions(-)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20818-move-AJ-reports-to-separated-datadog-metric
Switched to a new branch 'JY-20818-move-AJ-reports-to-separated-datadog-metric'
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ csfix
docker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff
PHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.
PHP runtime: 8.3.30
Running analysis on 7 cores with 10 files per process.
Parallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!
Loaded config default from ".php-cs-fixer.dist.php".
5663/5663 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%
Fixed 0 of 5663 files in 83.615 seconds, 67.00 MB memory used
What's next:
Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1
Learn more at [URL_WITH_CREDENTIALS] ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ csfix
docker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff
PHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.
PHP runtime: 8.3.30
Running analysis on 7 cores with 10 files per process.
Parallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!
Loaded config default from ".php-cs-fixer.dist.php".
5663/5663 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%
Fixed 0 of 5663 files in 42.875 seconds, 60.00 MB memory used
What's next:
Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1
Learn more at [URL_WITH_CREDENTIALS] ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 15, done.
remote: Counting objects: 100% (15/15), done.
remote: Compressing objects: 100% (2/2), done.
remote: Total 15 (delta 13), reused 15 (delta 13), pack-reused 0 (from 0)
Unpacking objects: 100% (15/15), 1.28 KiB | 72.00 KiB/s, done.
From github.com:jiminny/app
c57e71e763..8743fea32e JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
* [new branch] JY-20819-increase-download-transctip-rate-limit -> origin/JY-20819-increase-download-transctip-rate-limit
Already up to date.
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 180, done.
remote: Counting objects: 100% (179/179), done.
remote: Compressing objects: 100% (55/55), done.
remote: Total 180 (delta 127), reused 165 (delta 119), pack-reused 1 (from 1)
Receiving objects: 100% (180/180), 57.50 KiB | 2.74 MiB/s, done.
Resolving deltas: 100% (127/127), completed with 47 local objects.
From github.com:jiminny/app
12295204cf..35f036ace6 master -> origin/master
* [new branch] JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5
5f21965da8..497fbc85c2 JY-20493-smart-instant-nudge-pre-filtering -> origin/JY-20493-smart-instant-nudge-pre-filtering
f029263118..6ed9e2bb13 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue
* [new branch] JY-20817-fix-deleting-s3-directories -> origin/JY-20817-fix-deleting-s3-directories
* [new branch] JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration
+ ca92730ec5...2c8a1d0856 desktop-app -> origin/desktop-app (forced update)
8425d4e0de..89b45ec8b0 mcp-tools-schemas -> origin/mcp-tools-schemas
Updating 12295204cf..35f036ace6
Fast-forward
app/Component/Datadog/Constants.php | 1 +
app/Providers/RouteServiceProvider.php | 2 +-
app/Services/Kiosk/AutomatedReports/AutomatedReportsCallbackService.php | 13 +++++++++++++
tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsCallbackServiceTest.php | 54 +++++++++++++++++++++++++++++++++++++++++++++++-------
4 files changed, 62 insertions(+), 8 deletions(-)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ gbr
* master
JY-20818-move-AJ-reports-to-separated-datadog-metric
JY-20773-fix-automated-reports-user-pilot-tracking
JY-20157-AJ-report-not-send-notification
JY-20508-notify-before-AJ-report-expiration
JY-20372-ai-reports-promotion-pages
JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null
JY-20738-debug-AJ-tracking-UP
a
JY-18909-automated-reports-ask-jiminny
JY-20692-fix-integration-app-[API_KEY]
JY-20553-debug-crm-sync-delays
JY-20698-fix-SF-activity-types-on-new-playbook
JY-20543-AJ-report-tracking
JY-20384-handle-auto-sync-with-no-access-to-event-type
JY-20458-ask-jiminny-user-definitions
JY-19666-fix-import-contacts-account-association
JY-19666-HS-import-contacts-and-accounts-batch-job
JY-20458-Ask-Jiminny-Reports
JY-20200-batch-update-CRM-objects-Salesforce
JY-19666-HS-webhooks-add-contact-and-company
JY-20348-trigger-setup-DI-layout-on-team-creation
JY-20326-refactor-info-message-in-command
JY-20317-fix-auto-log-delay-issue-on-all-channels-disabled
JY-20312-remove-on-update-change-last-synced-at-crm-configurations
JY-20306-SF-skip-auto-sync-for-task-based-playbook
JY-20192-remove-deleted-team-from-saved-search-filters
JY-20197-import-opportunity-batch-job
JY-20293-enable-status-field-for-pipedrive-deals
JY-20191-remove-commands-interactive-prompts
JY-20118-change-default-sync-strategy
JY-20183-add-cache-on-auto-log-delay
JY-20197-add-import-opportunity-batch-job
20118-hs-opportunity-make-webhook-strategy-default
JY-20118-make-default-hs-opportunity-sync-strategy-webhook-based
JY-20196-handle-opportunity-without-note
JY-20118-improve-opportunity-import
JY-20189-handle-activity-search-on-deleted-groups
JY-20160
JY-20145-filter-out-converted-leads-when-matching
JY-20150-skip-push-summary-on-summary-ready-if-autolog
JY-20132-fix-note-encoding
JY-19792-clean-logs
JY-20117-fix-sync-profile-fields-on-empty-fields
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20725-handle-HS-search-rate-limit
Switched to a new branch 'JY-20725-handle-HS-search-rate-limit'
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ ;xd
docker exec -it docker_lamp_1 bash -c "mv /usr/local/etc/php/conf.d/xdebug.ini ~/xdebug.ini"
What's next:
Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1
Learn more at https://docs.docker.com/go/debug-cli/
docker exec -it docker_lamp_1 supervisorctl restart all
jiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: stopped
jiminny-worker-processing-2:jiminny-worker-processing-2_00: stopped
jiminny-worker-processing-3:jiminny-worker-processing-3_00: stopped
jiminny-worker-processing-4:jiminny-worker-processing-4_00: stopped
jiminny-worker-processing-5:jiminny-worker-processing-5_00: stopped
worker-analytics:worker-analytics_00: stopped
worker-crm-update:worker-crm-update_00: stopped
worker-download:worker-download_00: stopped
worker-nudges:worker-nudges_00: stopped
artisan-schedule:artisan-schedule_00: stopped
worker-emails:worker-emails_00: stopped
worker:worker_00: stopped
worker-calendar:worker-calendar_00: stopped
jiminny-worker-processing-1:jiminny-worker-processing-1_00: stopped
worker-crm-sync:worker-crm-sync_00: stopped
worker-audio:worker-audio_00: stopped
worker-conferences:worker-conferences_00: stopped
worker-es-update:worker-es-update_00: stopped
artisan-schedule:artisan-schedule_00: started
jiminny-worker-processing-1:jiminny-worker-processing-1_00: started
jiminny-worker-processing-2:jiminny-worker-processing-2_00: started
jiminny-worker-processing-3:jiminny-worker-processing-3_00: started
jiminny-worker-processing-4:jiminny-worker-processing-4_00: started
jiminny-worker-processing-5:jiminny-worker-processing-5_00: started
jiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: started
worker:worker_00: started
worker-analytics:worker-analytics_00: started
worker-audio:worker-audio_00: started
worker-calendar:worker-calendar_00: started
worker-conferences:worker-conferences_00: started
worker-crm-sync:worker-crm-sync_00: started
worker-crm-update:worker-crm-update_00: started
worker-download:worker-download_00: started
worker-emails:worker-emails_00: started
worker-es-update:worker-es-update_00: started
worker-nudges:worker-nudges_00: started
What's next:
Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1
Learn more at https://docs.docker.com/go/debug-cli/
docker exec -it docker_lamp_1 php -v
PHP 8.3.30 (cli) (built: Mar 16 2026 22:32:32) (NTS)
Copyright (c) The PHP Group
Zend En...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"Last login: Thu May 7 09:44:56 on ttys007\n\nPoetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20773-fix-automated-reports-user-pilot-tracking) $ git status\nOn branch master\nYour branch is up to date with 'origin/master'.\n\nChanges not staged for commit:\n (use \"git add <file>...\" to update what will be committed)\n (use \"git restore <file>...\" to discard changes in working directory)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: .env.local\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Console/Commands/JiminnyDebugCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Jobs/Team/SyncToIntercom.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Services/PlaybackService.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: config/logging.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: resources/views/partials/crm/push-summary/html-assembly.blade.php\n\nUntracked files:\n (use \"git add <file>...\" to include in what will be committed)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.nikilocal\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.other\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tWEBHOOK_FILTERING_IMPLEMENTATION.md\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tids.txt\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tpublic/favicon.ico\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\traw_sql_query.sql\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\ttests/Unit/Policies/CanAccessAiReportsTest.php\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 1482, done.\nremote: Counting objects: 100% (481/481), done.\nremote: Compressing objects: 100% (191/191), done.\nremote: Total 1482 (delta 349), reused 305 (delta 289), pack-reused 1001 (from 4)\nReceiving objects: 100% (1482/1482), 1017.97 KiB | 1.44 MiB/s, done.\nResolving deltas: 100% (877/877), completed with 96 local objects.\nFrom github.com:jiminny/app\n 83b628967a..ad2ce76737 master -> origin/master\n 1ee8cbcb7b..14f54b5be2 JY-17836-participant-speeches-in-s3 -> origin/JY-17836-participant-speeches-in-s3\n 5662c3b32f..b167b19973 JY-20289-api-tests -> origin/JY-20289-api-tests\n b40408cfad..f23cfee7c3 JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null -> origin/JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null\n * [new branch] JY-20395-fix-memory-issue-with-mail-import -> origin/JY-20395-fix-memory-issue-with-mail-import\n * [new branch] JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n * [new branch] JY-20662-remove-word-boost -> origin/JY-20662-remove-word-boost\n * [new branch] JY-20742-mcp-poc -> origin/JY-20742-mcp-poc\n * [new branch] make-claude-great-again -> origin/make-claude-great-again\n * [new branch] secfix/composer-20260507 -> origin/secfix/composer-20260507\n * [new branch] secfix/npm-20260507 -> origin/secfix/npm-20260507\nUpdating 83b628967a..ad2ce76737\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Jobs/Team/SyncToIntercom.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tresources/views/partials/crm/push-summary/html-assembly.blade.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 83b628967a..ad2ce76737\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Jobs/Team/SyncToIntercom.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tresources/views/partials/crm/push-summary/html-assembly.blade.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 83b628967a..ad2ce76737\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Jobs/Team/SyncToIntercom.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 83b628967a..ad2ce76737\nFast-forward\n .cursor/rules/frontend-conventions.mdc | 23 ++\n .env.production-eu | 2 +-\n .env.staging | 2 +-\n Makefile | 10 +\n app/Component/ActivityAnalytics/Service/ActivityAnalyticsService.php | 6 +-\n app/Component/AiAutomation/Repositories/AiTemplateFieldsRepository.php | 32 +-\n app/Component/AiCallScoring/Repositories/AiScorecardRepository.php | 56 ++--\n app/Component/AskAnything/AskAnythingPromptService.php | 3 +\n app/Component/Transcription/Job/FinishTranscriptionJob.php | 37 ++-\n app/Component/Transcription/TranscriptionProcessor/Gong/Gong.php | 18 +-\n app/Component/Twilio/Conference/ConferenceManager/SoftPhoneManager.php | 4 +-\n app/Component/Twilio/Service/SoftPhoneService.php | 124 ++++---\n app/Component/Twilio/TwilioRepository.php | 27 ++\n app/Console/Commands/CoachingFeedbacksUpdateEsActivities.php | 59 ----\n app/Console/Commands/Reports/AutomatedReportsCommand.php | 122 +++++--\n app/Console/Commands/RunAiCallScoringForUntypedActivitiesCommand.php | 200 ++++++++++++\n app/Console/Commands/UpdateActivitiesAverageScoreExcludingFeedbacksNotSetVisibleToAll.php | 60 ----\n app/Console/Commands/Users/SyncToIntercom.php | 4 +-\n app/Console/Kernel.php | 3 +-\n app/Contracts/ES/Events/UpdateMultipleEntities.php | 4 -\n app/Contracts/ES/Events/UpdateSingleEntity.php | 4 -\n app/Contracts/Repositories/TeamRepository.php | 3 +-\n app/Events/Activities/ActivityUpdated.php | 10 +-\n app/Events/Activities/Audio/RecordingEvent.php | 6 +-\n app/Events/Activities/Softphone/Ended.php | 8 +-\n app/Events/Activities/Softphone/SoftphoneEvent.php | 24 +-\n app/Events/Activities/Softphone/Started.php | 8 +-\n app/Http/Controllers/API/ActivityController.php | 17 +-\n app/Http/Controllers/API/SoftphoneController.php | 9 +-\n app/Http/Controllers/API/UserAutomatedReports/UserAutomatedReportsController.php | 19 +-\n app/Http/Controllers/API/V2/AskAnythingController.php | 2 +-\n app/Http/Controllers/Auth/SocialController.php | 6 +-\n app/Http/Controllers/Kiosk/AutomatedReportsController.php | 38 ++-\n app/Http/Controllers/Kiosk/OrganizationsController.php | 8 +-\n app/Http/Controllers/Kiosk/PartnersController.php | 46 +++\n app/Http/Controllers/Kiosk/SearchController.php | 8 +\n app/Http/Controllers/Kiosk/Teams/OnboardController.php | 24 +-\n app/Http/Controllers/Settings/Teams/IntegrationController.php | 6 +-\n app/Http/Controllers/TeamSetupController.php | 4 +-\n app/Http/Controllers/Telephony/TextMessaging/MessageController.php | 12 +-\n app/Http/Controllers/Telephony/TextMessaging/WebhookController.php | 18 +-\n app/Http/Requests/Settings/Teams/CreateTeamRequest.php | 1 +\n app/Http/Requests/Settings/Teams/EditTeamRequest.php | 1 +\n app/Http/Transformers/ActivityTransformer.php | 4 +-\n app/Http/Transformers/OnDemandActivitiesTransformer.php | 2 +-\n app/Http/Transformers/PartnerTransformer.php | 1 +\n app/Http/Transformers/StageTransformer.php | 6 +-\n app/Http/Transformers/UserTransformer.php | 11 +-\n app/Interactions/Settings/Teams/CreateTeam.php | 3 +\n app/Jobs/AutomatedReports/RequestGenerateAskJiminnyReportJob.php | 80 ++++-\n app/Jobs/AutomatedReports/SendReportExpiringSoonMailJob.php | 119 +++++++\n app/Jobs/AutomatedReports/SendReportNotGeneratedMailJob.php | 89 +++++\n app/Jobs/Crm/Hubspot/ImportBatchJobTrait.php | 12 +-\n app/Jobs/Crm/UpdateStage.php | 3 +\n app/Jobs/Team/SyncToIntercom.php | 7 +-\n app/Listeners/Teams/SyncIntercomCompany.php | 5 +-\n app/Listeners/Teams/UpdateSalesforceAccount.php | 8 +-\n app/Listeners/Users/SyncIntercom.php | 5 +-\n app/Mail/Reports/AskJiminnyReportExpiringMail.php | 40 +++\n app/Mail/Reports/ReportNotGenerated.php | 41 +++\n app/Models/Activity.php | 25 +-\n app/Models/Activity/Question.php | 14 +-\n app/Models/Activity/Search.php | 7 +\n app/Models/AskAnything/AskAnythingPrompt.php | 6 +\n app/Models/AutomatedReport.php | 10 +\n app/Models/CoachingFeedback.php | 44 ++-\n app/Models/ElasticSearch/ActivityElasticSearchTrait.php | 86 +----\n app/Models/ElasticSearch/OpportunityElasticSearchTrait.php | 71 ----\n app/Models/ElasticSearch/SharedDocumentDeleteTrait.php | 27 --\n app/Models/Partner.php | 13 +\n app/Models/Playlist/Activity.php | 14 +-\n app/Notifications/OwnerInvitedToTrial.php | 14 +-\n app/Policies/UserPolicy.php | 16 +-\n app/Queue/Worker/Worker.php | 3 +-\n app/Repositories/ActivityRepository.php | 13 +-\n app/Repositories/AutomatedReportsRepository.php | 42 ++-\n app/Repositories/TeamRepository.php | 21 +-\n app/Repositories/UserRepository.php | 2 +-\n app/Services/Activity/MeetingBotService.php | 8 +-\n app/Services/ActivityService.php | 111 ++-----\n app/Services/Crm/Hubspot/Service.php | 36 +-\n app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 2 +-\n app/Services/Kiosk/AutomatedReports/AskJiminnyReportActivityService.php | 5 +-\n app/Services/Kiosk/AutomatedReports/AutomatedReportsService.php | 49 +--\n app/Services/Kiosk/KioskService.php | 7 +-\n app/Services/Webhook/Triggers/AiScorecardCompletedTrigger.php | 13 +-\n app/UseCases/TeamInsights/ConversationRowMapper.php | 78 +++++\n app/UseCases/TeamInsights/RecordingOutcomeTextResolver.php | 68 ++++\n app/UseCases/TeamInsights/StrictConsentColumnResolver.php | 45 +++\n app/UseCases/TeamInsights/TeamConversationsExport.php | 154 ++++-----\n composer.json | 1 -\n composer.lock | 95 +-----\n config/secure-headers.php | 5 +-\n database/mappings/mapping_activities.json | 16 +\n database/migrations/2026_04_14_000000_add_rockeed_partner.php | 51 +++\n database/migrations/2026_04_22_000000_add_success_email_to_partners.php | 26 ++\n database/migrations/2026_04_27_000000_add_label_to_partners.php | 28 ++\n database/migrations/2026_04_29_105053_move_ask_jiminny_reports_to_grow_tier.php | 79 +++++\n front-end/package.json | 5 +-\n front-end/src/__mocks__/jiminny.js | 4 +-\n front-end/src/__mocks__/kit/endpoints/automated-reports-promo.js | 9 +\n front-end/src/__mocks__/setup.js | 1 +\n front-end/src/apps/ai-reports-promo.js | 22 ++\n front-end/src/components/AiReports/AiReportsPromo.vue | 22 ++\n front-end/src/components/AiReports/AutomatedReportsPromo/AutomatedReportsPromo.vue | 190 +++++++++++\n front-end/src/components/AiReports/AutomatedReportsPromo/PromoCard.vue | 111 +++++++\n front-end/src/components/AiReports/AutomatedReportsPromo/WhyItMattersCard.vue | 103 ++++++\n front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/AutomatedReportsPromo.spec.js | 98 ++++++\n .../src/components/AiReports/AutomatedReportsPromo/__tests__/__snapshots__/automated-reports-promo.output.html | 283 ++++++++++++++++\n front-end/src/components/AiReports/Manage/ManageAiReports.vue | 8 +-\n front-end/src/components/AiReports/PanoramaReportsPromo/PanoramaReportsPromo.vue | 228 +++++++++++++\n front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/PanoramaReportsPromo.spec.js | 71 ++++\n .../src/components/AiReports/PanoramaReportsPromo/__tests__/__snapshots__/panorama-reports-promo.output.html | 217 ++++++++++++\n front-end/src/components/AiReports/constants.js | 7 +\n front-end/src/components/Settings/Kiosk/OrganizationSearch/Organizations.vue | 1 +\n front-end/src/components/Settings/Kiosk/__mocks__/Jiminny.js | 1 +\n front-end/src/components/Settings/Kiosk/modals/EditTeamModal/EditTeamModal.vue | 43 ++-\n front-end/src/components/Settings/Kiosk/modals/EditTeamModal/__tests__/EditTeamModal.spec.js | 203 ++++++++++++\n front-end/src/components/Settings/Kiosk/shared/Navigation/Navigation.vue | 3 +\n front-end/src/components/Settings/Kiosk/shared/Navigation/__tests__/Navigation.spec.js | 67 ++++\n front-end/src/components/TeamInsights/CoachingFrameworks/AICallScoring/aiCallScoringOverTime.ts | 4 +-\n front-end/src/components/TeamInsights/CoachingFrameworks/UsersList.vue | 2 +-\n front-end/src/components/layout/Sidebar/HelpMenu.vue | 25 +-\n front-end/src/components/layout/Sidebar/Sidebar.vue | 27 +-\n front-end/src/components/layout/Sidebar/__tests__/HelpMenu.spec.js | 94 ++++++\n front-end/src/components/layout/Sidebar/__tests__/__snapshots__/Sidebar.spec.js.snap | 4 +-\n front-end/src/components/layout/Sidebar/__tests__/useAiReportsSidebarButton.spec.js | 204 ++++++++++++\n front-end/src/components/layout/Sidebar/useAiReportsSidebarButton.js | 49 +++\n front-end/src/main.js | 1 +\n front-end/src/store/modules/TeamInsights/util.js | 1 +\n front-end/src/store/modules/platform/__tests__/getters.spec.js | 22 ++\n front-end/src/store/modules/platform/getters.js | 3 +\n front-end/src/utils/index.js | 11 +\n front-end/yarn.lock | 21 +-\n phpstan-baseline.neon | 60 ----\n public/pdf/exec-reports/com/coaching-profiles.pdf | Bin 0 -> 1531178 bytes\n public/pdf/exec-reports/com/exec-summary.pdf | Bin 0 -> 2237381 bytes\n public/pdf/exec-reports/com/loss-report.pdf | Bin 0 -> 1955343 bytes\n public/pdf/exec-reports/com/product-feedback.pdf | Bin 0 -> 2184417 bytes\n public/pdf/exec-reports/eu/coaching-profiles.pdf | Bin 0 -> 1528704 bytes\n public/pdf/exec-reports/eu/exec-summary.pdf | Bin 0 -> 2296741 bytes\n public/pdf/exec-reports/eu/loss-report.pdf | Bin 0 -> 1955808 bytes\n public/pdf/exec-reports/eu/product-feedback.pdf | Bin 0 -> 2184083 bytes\n resources/views/emails/reports/ask-jiminny-report-expiring.blade.php | 22 ++\n resources/views/emails/reports/report-not-generated.blade.php | 24 ++\n resources/views/partials/crm/push-summary/html-assembly.blade.php | 2 +-\n routes/api.php | 6 +\n routes/web.php | 4 +\n tests/Feature/Policies/UserPolicyTest.php | 90 ++++-\n tests/Unit/Component/ActivityAnalytics/Service/ActivityAnalyticsServiceTest.php | 40 +++\n tests/Unit/Component/AskAnything/AskAnythingPromptServiceTest.php | 26 ++\n tests/Unit/Component/Transcription/Job/FinishTranscriptionJobTest.php | 276 ++++++++++++++++\n tests/Unit/Component/Transcription/TranscriptionProcessor/Gong/GongTest.php | 375 +++++++++++++++++++++\n tests/Unit/Component/Twilio/Service/SoftPhoneServiceTest.php | 1014 +++++++++++++++++++++++++++++++++++++++++++++++++++++++--\n tests/Unit/Console/Commands/Reports/AutomatedReportsCommandTest.php | 157 ++++++++-\n tests/Unit/Events/Activities/Audio/RecordingEventTest.php | 72 ++++\n tests/Unit/Events/Activities/Softphone/EndedTest.php | 86 +++++\n tests/Unit/Events/Activities/Softphone/SoftphoneEventTest.php | 88 +++++\n tests/Unit/Events/Activities/Softphone/StartedTest.php | 86 +++++\n tests/Unit/Http/Controllers/Kiosk/AutomatedReportsControllerTest.php | 99 ++++++\n tests/Unit/Http/Transformers/ActivityTransformerTest.php | 5 +-\n tests/Unit/Http/Transformers/PartnerTransformerTest.php | 34 ++\n tests/Unit/Interactions/Settings/Teams/CreateTeamTest.php | 49 +++\n tests/Unit/Jobs/AutomatedReports/RequestGenerateAskJiminnyReportJobTest.php | 106 +++++-\n tests/Unit/Jobs/AutomatedReports/SendReportExpiringSoonMailJobTest.php | 205 ++++++++++++\n tests/Unit/Jobs/AutomatedReports/SendReportNotGeneratedMailJobTest.php | 188 +++++++++++\n tests/Unit/Jobs/Crm/ImportOpportunityBatchTest.php | 2 +-\n tests/Unit/Jobs/Team/SyncToIntercomTest.php | 6 +\n tests/Unit/Listeners/Teams/SyncIntercomCompanyTest.php | 59 ++++\n tests/Unit/Listeners/Teams/UpdateSalesforceAccountTest.php | 11 +-\n tests/Unit/Listeners/Users/SyncIntercomTest.php | 59 ++++\n tests/Unit/Mail/Reports/ReportNotGeneratedTest.php | 166 ++++++++++\n tests/Unit/Models/PartnerTest.php | 28 ++\n tests/Unit/Repositories/AutomatedReportsRepositoryTest.php | 68 ++++\n tests/Unit/Services/Activity/MeetingBotServiceRequestRecordingToStopTest.php | 14 +-\n tests/Unit/Services/ActivityServiceTest.php | 391 ++++++++++++++++++++++\n tests/Unit/Services/Crm/Hubspot/ServiceResponseNormalizeTest.php | 68 ++--\n tests/Unit/Services/Kiosk/AutomatedReports/AskJiminnyReportActivityServiceTest.php | 48 +--\n tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceActivitiesCountTest.php | 16 +-\n tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceReportGenerationTest.php | 24 +-\n tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceTest.php | 130 ++++++++\n tests/Unit/Services/KioskServiceTest.php | 8 +\n tests/Unit/Services/Webhook/Triggers/AiScorecardCompletedTriggerTest.php | 6 +-\n tests/Unit/UseCases/TeamInsights/RecordingOutcomeTextResolverTest.php | 119 +++++++\n tests/Unit/UseCases/TeamInsights/StrictConsentColumnResolverTest.php | 108 ++++++\n tests/Unit/UseCases/TeamInsights/TeamConversationsExportTest.php | 342 ++++++++++++++-----\n 186 files changed, 8538 insertions(+), 1233 deletions(-)\n create mode 100644 app/Component/Twilio/TwilioRepository.php\n delete mode 100644 app/Console/Commands/CoachingFeedbacksUpdateEsActivities.php\n create mode 100644 app/Console/Commands/RunAiCallScoringForUntypedActivitiesCommand.php\n delete mode 100644 app/Console/Commands/UpdateActivitiesAverageScoreExcludingFeedbacksNotSetVisibleToAll.php\n create mode 100644 app/Http/Controllers/Kiosk/PartnersController.php\n create mode 100644 app/Jobs/AutomatedReports/SendReportExpiringSoonMailJob.php\n create mode 100644 app/Jobs/AutomatedReports/SendReportNotGeneratedMailJob.php\n create mode 100644 app/Mail/Reports/AskJiminnyReportExpiringMail.php\n create mode 100644 app/Mail/Reports/ReportNotGenerated.php\n delete mode 100644 app/Models/ElasticSearch/SharedDocumentDeleteTrait.php\n create mode 100644 app/UseCases/TeamInsights/ConversationRowMapper.php\n create mode 100644 app/UseCases/TeamInsights/RecordingOutcomeTextResolver.php\n create mode 100644 app/UseCases/TeamInsights/StrictConsentColumnResolver.php\n create mode 100644 database/migrations/2026_04_14_000000_add_rockeed_partner.php\n create mode 100644 database/migrations/2026_04_22_000000_add_success_email_to_partners.php\n create mode 100644 database/migrations/2026_04_27_000000_add_label_to_partners.php\n create mode 100644 database/migrations/2026_04_29_105053_move_ask_jiminny_reports_to_grow_tier.php\n create mode 100644 front-end/src/__mocks__/kit/endpoints/automated-reports-promo.js\n create mode 100644 front-end/src/apps/ai-reports-promo.js\n create mode 100644 front-end/src/components/AiReports/AiReportsPromo.vue\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/AutomatedReportsPromo.vue\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/PromoCard.vue\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/WhyItMattersCard.vue\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/AutomatedReportsPromo.spec.js\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/__snapshots__/automated-reports-promo.output.html\n create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/PanoramaReportsPromo.vue\n create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/PanoramaReportsPromo.spec.js\n create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/__snapshots__/panorama-reports-promo.output.html\n create mode 100644 front-end/src/components/Settings/Kiosk/modals/EditTeamModal/__tests__/EditTeamModal.spec.js\n create mode 100644 front-end/src/components/Settings/Kiosk/shared/Navigation/__tests__/Navigation.spec.js\n create mode 100644 front-end/src/components/layout/Sidebar/__tests__/HelpMenu.spec.js\n create mode 100644 front-end/src/components/layout/Sidebar/__tests__/useAiReportsSidebarButton.spec.js\n create mode 100644 front-end/src/components/layout/Sidebar/useAiReportsSidebarButton.js\n create mode 100644 front-end/src/store/modules/platform/__tests__/getters.spec.js\n create mode 100644 public/pdf/exec-reports/com/coaching-profiles.pdf\n create mode 100644 public/pdf/exec-reports/com/exec-summary.pdf\n create mode 100644 public/pdf/exec-reports/com/loss-report.pdf\n create mode 100644 public/pdf/exec-reports/com/product-feedback.pdf\n create mode 100644 public/pdf/exec-reports/eu/coaching-profiles.pdf\n create mode 100644 public/pdf/exec-reports/eu/exec-summary.pdf\n create mode 100644 public/pdf/exec-reports/eu/loss-report.pdf\n create mode 100644 public/pdf/exec-reports/eu/product-feedback.pdf\n create mode 100644 resources/views/emails/reports/ask-jiminny-report-expiring.blade.php\n create mode 100644 resources/views/emails/reports/report-not-generated.blade.php\n create mode 100644 tests/Unit/Component/Transcription/Job/FinishTranscriptionJobTest.php\n create mode 100644 tests/Unit/Component/Transcription/TranscriptionProcessor/Gong/GongTest.php\n create mode 100644 tests/Unit/Events/Activities/Audio/RecordingEventTest.php\n create mode 100644 tests/Unit/Events/Activities/Softphone/EndedTest.php\n create mode 100644 tests/Unit/Events/Activities/Softphone/SoftphoneEventTest.php\n create mode 100644 tests/Unit/Events/Activities/Softphone/StartedTest.php\n create mode 100644 tests/Unit/Http/Transformers/PartnerTransformerTest.php\n create mode 100644 tests/Unit/Jobs/AutomatedReports/SendReportExpiringSoonMailJobTest.php\n create mode 100644 tests/Unit/Jobs/AutomatedReports/SendReportNotGeneratedMailJobTest.php\n create mode 100644 tests/Unit/Listeners/Teams/SyncIntercomCompanyTest.php\n create mode 100644 tests/Unit/Listeners/Users/SyncIntercomTest.php\n create mode 100644 tests/Unit/Mail/Reports/ReportNotGeneratedTest.php\n create mode 100644 tests/Unit/Models/PartnerTest.php\n create mode 100644 tests/Unit/Services/ActivityServiceTest.php\n create mode 100644 tests/Unit/UseCases/TeamInsights/RecordingOutcomeTextResolverTest.php\n create mode 100644 tests/Unit/UseCases/TeamInsights/StrictConsentColumnResolverTest.php\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull \nremote: Enumerating objects: 628, done.\nremote: Counting objects: 100% (331/331), done.\nremote: Compressing objects: 100% (63/63), done.\nremote: Total 628 (delta 280), reused 274 (delta 266), pack-reused 297 (from 1)\nReceiving objects: 100% (628/628), 186.75 KiB | 1.23 MiB/s, done.\nResolving deltas: 100% (391/391), completed with 57 local objects.\nFrom github.com:jiminny/app\n ad2ce76737..12295204cf master -> origin/master\n 14f54b5be2..5e7646e5f9 JY-17836-participant-speeches-in-s3 -> origin/JY-17836-participant-speeches-in-s3\n b167b19973..acba55cf38 JY-20289-api-tests -> origin/JY-20289-api-tests\n f23cfee7c3..e5a3ec5dba JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null -> origin/JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null\n af59d60926..766efba1c5 JY-20395-fix-memory-issue-with-mail-import -> origin/JY-20395-fix-memory-issue-with-mail-import\n * [new branch] JY-20493-smart-instant-nudge-pre-filtering -> origin/JY-20493-smart-instant-nudge-pre-filtering\n 1737b7c528..c57e71e763 JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n * [new branch] JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech\n + ba181441c6...20a74137b0 JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)\n * [new branch] JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue\n * [new branch] JY-20816-calendar-events-diplication -> origin/JY-20816-calendar-events-diplication\n * [new branch] desktop-app -> origin/desktop-app\n 4c4c974e46..185442c26e make-claude-great-again -> origin/make-claude-great-again\n * [new branch] mcp-tools-schemas -> origin/mcp-tools-schemas\nUpdating ad2ce76737..12295204cf\nFast-forward\n app/Component/Encoding/Job/AnalyzeTrackChannelsJob.php | 2 +-\n app/Component/Transcription/TranscriptionProcessor/AssemblyAI/Services/SubmitAudioFileService.php | 66 ++----------------------------------------------------------------\n app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 24 +++++++++++++++++-------\n tests/Unit/Console/Commands/Tracks/CleanupActivityTracksCommandTest.php | 40 +++++++++++++++++++++++++++++-----------\n tests/Unit/fixtures/assembly_ai_transcript_response.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_channel_diarization.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_language.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_language_error.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_language_not_ready.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_language_post.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_without_utterances.json | 1 -\n 11 files changed, 49 insertions(+), 90 deletions(-)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20818-move-AJ-reports-to-separated-datadog-metric\nSwitched to a new branch 'JY-20818-move-AJ-reports-to-separated-datadog-metric'\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ csfix\ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5663/5663 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n\nFixed 0 of 5663 files in 83.615 seconds, 67.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ ;xd\ndocker exec -it docker_lamp_1 bash -c \"mv /usr/local/etc/php/conf.d/xdebug.ini ~/xdebug.ini\"\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\ndocker exec -it docker_lamp_1 supervisorctl restart all\njiminny-worker-processing-2:jiminny-worker-processing-2_00: stopped\njiminny-worker-processing-3:jiminny-worker-processing-3_00: stopped\njiminny-worker-processing-4:jiminny-worker-processing-4_00: stopped\njiminny-worker-processing-5:jiminny-worker-processing-5_00: stopped\njiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: stopped\nworker-analytics:worker-analytics_00: stopped\nworker-crm-update:worker-crm-update_00: stopped\nworker-download:worker-download_00: stopped\nworker-nudges:worker-nudges_00: stopped\nartisan-schedule:artisan-schedule_00: stopped\nworker-calendar:worker-calendar_00: stopped\nworker-crm-sync:worker-crm-sync_00: stopped\njiminny-worker-processing-1:jiminny-worker-processing-1_00: stopped\nworker:worker_00: stopped\nworker-emails:worker-emails_00: stopped\nworker-audio:worker-audio_00: stopped\nworker-conferences:worker-conferences_00: stopped\nworker-es-update:worker-es-update_00: stopped\nartisan-schedule:artisan-schedule_00: started\njiminny-worker-processing-1:jiminny-worker-processing-1_00: started\njiminny-worker-processing-2:jiminny-worker-processing-2_00: started\njiminny-worker-processing-3:jiminny-worker-processing-3_00: started\njiminny-worker-processing-4:jiminny-worker-processing-4_00: started\njiminny-worker-processing-5:jiminny-worker-processing-5_00: started\njiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: started\nworker:worker_00: started\nworker-analytics:worker-analytics_00: started\nworker-audio:worker-audio_00: started\nworker-calendar:worker-calendar_00: started\nworker-conferences:worker-conferences_00: started\nworker-crm-sync:worker-crm-sync_00: started\nworker-crm-update:worker-crm-update_00: started\nworker-download:worker-download_00: started\nworker-emails:worker-emails_00: started\nworker-es-update:worker-es-update_00: started\nworker-nudges:worker-nudges_00: started\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\ndocker exec -it docker_lamp_1 php -v\nPHP 8.3.30 (cli) (built: Mar 16 2026 22:32:32) (NTS)\nCopyright (c) The PHP Group\nZend Engine v4.3.30, Copyright (c) Zend Technologies\n with Zend OPcache v8.3.30, Copyright (c), by Zend Technologies\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ csfix\ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5663/5663 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n\nFixed 0 of 5663 files in 42.875 seconds, 60.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ git status\nOn branch master\nYour branch is up to date with 'origin/master'.\n\nChanges not staged for commit:\n (use \"git add <file>...\" to update what will be committed)\n (use \"git restore <file>...\" to discard changes in working directory)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: .env.local\n\nUntracked files:\n (use \"git add <file>...\" to include in what will be committed)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.nikilocal\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.other\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tWEBHOOK_FILTERING_IMPLEMENTATION.md\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tids.txt\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tpublic/favicon.ico\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\traw_sql_query.sql\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\ttests/Unit/Policies/CanAccessAiReportsTest.php\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 15, done.\nremote: Counting objects: 100% (15/15), done.\nremote: Compressing objects: 100% (2/2), done.\nremote: Total 15 (delta 13), reused 15 (delta 13), pack-reused 0 (from 0)\nUnpacking objects: 100% (15/15), 1.28 KiB | 72.00 KiB/s, done.\nFrom github.com:jiminny/app\n c57e71e763..8743fea32e JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n * [new branch] JY-20819-increase-download-transctip-rate-limit -> origin/JY-20819-increase-download-transctip-rate-limit\nAlready up to date.\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull \nremote: Enumerating objects: 180, done.\nremote: Counting objects: 100% (179/179), done.\nremote: Compressing objects: 100% (55/55), done.\nremote: Total 180 (delta 127), reused 165 (delta 119), pack-reused 1 (from 1)\nReceiving objects: 100% (180/180), 57.50 KiB | 2.74 MiB/s, done.\nResolving deltas: 100% (127/127), completed with 47 local objects.\nFrom github.com:jiminny/app\n 12295204cf..35f036ace6 master -> origin/master\n * [new branch] JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5\n 5f21965da8..497fbc85c2 JY-20493-smart-instant-nudge-pre-filtering -> origin/JY-20493-smart-instant-nudge-pre-filtering\n f029263118..6ed9e2bb13 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue\n * [new branch] JY-20817-fix-deleting-s3-directories -> origin/JY-20817-fix-deleting-s3-directories\n * [new branch] JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration\n + ca92730ec5...2c8a1d0856 desktop-app -> origin/desktop-app (forced update)\n 8425d4e0de..89b45ec8b0 mcp-tools-schemas -> origin/mcp-tools-schemas\nUpdating 12295204cf..35f036ace6\nFast-forward\n app/Component/Datadog/Constants.php | 1 +\n app/Providers/RouteServiceProvider.php | 2 +-\n app/Services/Kiosk/AutomatedReports/AutomatedReportsCallbackService.php | 13 +++++++++++++\n tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsCallbackServiceTest.php | 54 +++++++++++++++++++++++++++++++++++++++++++++++-------\n 4 files changed, 62 insertions(+), 8 deletions(-)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ gbr \n* master\n JY-20818-move-AJ-reports-to-separated-datadog-metric\n JY-20773-fix-automated-reports-user-pilot-tracking\n JY-20157-AJ-report-not-send-notification\n JY-20508-notify-before-AJ-report-expiration\n JY-20372-ai-reports-promotion-pages\n JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null\n JY-20738-debug-AJ-tracking-UP\n a\n JY-18909-automated-reports-ask-jiminny\n JY-20692-fix-integration-app-token-auth-response-change\n JY-20553-debug-crm-sync-delays\n JY-20698-fix-SF-activity-types-on-new-playbook\n JY-20543-AJ-report-tracking\n JY-20384-handle-auto-sync-with-no-access-to-event-type\n JY-20458-ask-jiminny-user-definitions\n JY-19666-fix-import-contacts-account-association\n JY-19666-HS-import-contacts-and-accounts-batch-job\n JY-20458-Ask-Jiminny-Reports\n JY-20200-batch-update-CRM-objects-Salesforce\n JY-19666-HS-webhooks-add-contact-and-company\n JY-20348-trigger-setup-DI-layout-on-team-creation\n JY-20326-refactor-info-message-in-command\n JY-20317-fix-auto-log-delay-issue-on-all-channels-disabled\n JY-20312-remove-on-update-change-last-synced-at-crm-configurations\n JY-20306-SF-skip-auto-sync-for-task-based-playbook\n JY-20192-remove-deleted-team-from-saved-search-filters\n JY-20197-import-opportunity-batch-job\n JY-20293-enable-status-field-for-pipedrive-deals\n JY-20191-remove-commands-interactive-prompts\n JY-20118-change-default-sync-strategy\n JY-20183-add-cache-on-auto-log-delay\n JY-20197-add-import-opportunity-batch-job\n 20118-hs-opportunity-make-webhook-strategy-default\n JY-20118-make-default-hs-opportunity-sync-strategy-webhook-based\n JY-20196-handle-opportunity-without-note\n JY-20118-improve-opportunity-import\n JY-20189-handle-activity-search-on-deleted-groups\n JY-20160\n JY-20145-filter-out-converted-leads-when-matching\n JY-20150-skip-push-summary-on-summary-ready-if-autolog\n JY-20132-fix-note-encoding\n JY-19792-clean-logs\n JY-20117-fix-sync-profile-fields-on-empty-fields\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20725-handle-HS-search-rate-limit \nSwitched to a new branch 'JY-20725-handle-HS-search-rate-limit'\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ ;xd\ndocker exec -it docker_lamp_1 bash -c \"mv /usr/local/etc/php/conf.d/xdebug.ini ~/xdebug.ini\"\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\ndocker exec -it docker_lamp_1 supervisorctl restart all\njiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: stopped\njiminny-worker-processing-2:jiminny-worker-processing-2_00: stopped\njiminny-worker-processing-3:jiminny-worker-processing-3_00: stopped\njiminny-worker-processing-4:jiminny-worker-processing-4_00: stopped\njiminny-worker-processing-5:jiminny-worker-processing-5_00: stopped\nworker-analytics:worker-analytics_00: stopped\nworker-crm-update:worker-crm-update_00: stopped\nworker-download:worker-download_00: stopped\nworker-nudges:worker-nudges_00: stopped\nartisan-schedule:artisan-schedule_00: stopped\nworker-emails:worker-emails_00: stopped\nworker:worker_00: stopped\nworker-calendar:worker-calendar_00: stopped\njiminny-worker-processing-1:jiminny-worker-processing-1_00: stopped\nworker-crm-sync:worker-crm-sync_00: stopped\nworker-audio:worker-audio_00: stopped\nworker-conferences:worker-conferences_00: stopped\nworker-es-update:worker-es-update_00: stopped\nartisan-schedule:artisan-schedule_00: started\njiminny-worker-processing-1:jiminny-worker-processing-1_00: started\njiminny-worker-processing-2:jiminny-worker-processing-2_00: started\njiminny-worker-processing-3:jiminny-worker-processing-3_00: started\njiminny-worker-processing-4:jiminny-worker-processing-4_00: started\njiminny-worker-processing-5:jiminny-worker-processing-5_00: started\njiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: started\nworker:worker_00: started\nworker-analytics:worker-analytics_00: started\nworker-audio:worker-audio_00: started\nworker-calendar:worker-calendar_00: started\nworker-conferences:worker-conferences_00: started\nworker-crm-sync:worker-crm-sync_00: started\nworker-crm-update:worker-crm-update_00: started\nworker-download:worker-download_00: started\nworker-emails:worker-emails_00: started\nworker-es-update:worker-es-update_00: started\nworker-nudges:worker-nudges_00: started\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\ndocker exec -it docker_lamp_1 php -v\nPHP 8.3.30 (cli) (built: Mar 16 2026 22:32:32) (NTS)\nCopyright (c) The PHP Group\nZend Engine v4.3.30, Copyright (c) Zend Technologies\n with Zend OPcache v8.3.30, Copyright (c), by Zend Technologies\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ csfix\ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5666/5666 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n 1) app/Jobs/Crm/MatchActivityCrmData.php (ordered_class_elements)\n ---------- begin diff ----------\n--- /home/jiminny/app/Jobs/Crm/MatchActivityCrmData.php\n+++ /home/jiminny/app/Jobs/Crm/MatchActivityCrmData.php\n@@ -29,24 +29,14 @@\n use InteractsWithQueue;\n use SerializesModels;\n \n+ private const int RETRY_WINDOW_MINUTES = 120;\n+\n public int $maxExceptions = 3;\n \n- private const int RETRY_WINDOW_MINUTES = 120;\n-\n private int $activityId;\n private ?Configuration $fromConfiguration;\n private bool $remoteSearch;\n \n- public function middleware(): array\n- {\n- return [new HandleHubspotRateLimit()];\n- }\n-\n- public function retryUntil(): \\DateTimeInterface\n- {\n- return now()->addMinutes(self::RETRY_WINDOW_MINUTES);\n- }\n-\n public function __construct(\n int $activityId,\n ?Configuration $fromConfiguration = null,\n@@ -57,6 +47,16 @@\n $this->remoteSearch = $remoteSearch;\n \n $this->onQueue(Constants::QUEUE_ANALYTICS_LOW);\n+ }\n+\n+ public function middleware(): array\n+ {\n+ return [new HandleHubspotRateLimit()];\n+ }\n+\n+ public function retryUntil(): \\DateTimeInterface\n+ {\n+ return now()->addMinutes(self::RETRY_WINDOW_MINUTES);\n }\n \n public function uniqueId(): string\n\n ----------- end diff -----------\n\n 2) app/Services/Crm/Hubspot/HubspotClientInterface.php (phpdoc_order, phpdoc_separation)\n ---------- begin diff ----------\n--- /home/jiminny/app/Services/Crm/Hubspot/HubspotClientInterface.php\n+++ /home/jiminny/app/Services/Crm/Hubspot/HubspotClientInterface.php\n@@ -46,9 +46,11 @@\n *\n * @param string $objectType The object type ('deals', 'companies', 'contacts', 'calls')\n * @param array<string, mixed> $payload The search payload with filters, sorts, properties, etc.\n- * @return array The search response with 'results', 'total', 'paging' keys\n+ *\n * @throws RateLimitException When rate limit is hit\n * @throws HubspotException On API errors\n+ *\n+ * @return array The search response with 'results', 'total', 'paging' keys\n */\n public function search(string $objectType, array $payload): array;\n }\n\n ----------- end diff -----------\n\n 3) app/Services/Crm/Hubspot/Client.php (phpdoc_order, phpdoc_separation, blank_line_before_statement)\n ---------- begin diff ----------\n--- /home/jiminny/app/Services/Crm/Hubspot/Client.php\n+++ /home/jiminny/app/Services/Crm/Hubspot/Client.php\n@@ -69,10 +69,12 @@\n * the cache near expiry are not delayed longer than necessary.\n *\n * @template T\n+ *\n * @param callable(): T $apiCall The API call to execute\n- * @return T The result of the API call\n *\n * @throws RateLimitException When rate limit is hit or cached rate limit is active\n+ *\n+ * @return T The result of the API call\n */\n private function executeRequest(callable $apiCall)\n {\n@@ -81,6 +83,7 @@\n $cachedExpiresAt = Redis::get($cacheKey);\n if (is_string($cachedExpiresAt) && is_numeric($cachedExpiresAt)) {\n $remaining = max(1, (int) $cachedExpiresAt - time());\n+\n throw new RateLimitException(\n 'Hubspot rate limit (cached circuit-breaker)',\n $remaining,\n@@ -232,9 +235,11 @@\n *\n * @param string $objectType The object type ('deals', 'companies', 'contacts', 'calls')\n * @param array<string, mixed> $payload The search payload with filters, sorts, properties, etc.\n- * @return array The search response with 'results', 'total', 'paging' keys\n+ *\n * @throws RateLimitException When rate limit is hit\n * @throws HubspotException On API errors\n+ *\n+ * @return array The search response with 'results', 'total', 'paging' keys\n */\n public function search(string $objectType, array $payload): array\n {\n\n ----------- end diff -----------\n\n 4) app/Console/Commands/JiminnyDebugCommand.php (statement_indentation)\n ---------- begin diff ----------\n--- /home/jiminny/app/Console/Commands/JiminnyDebugCommand.php\n+++ /home/jiminny/app/Console/Commands/JiminnyDebugCommand.php\n@@ -359,11 +359,11 @@\n $crmService = $crmResolver->prepareCrmService();\n \n for ($i = 0 ; $i < 3; $i++) {\n-// if ($i % 25 === 0) {\n-// $this->info(\"Syncing opportunity {$i}\");\n- $this->info(\"Matching contact {$i}\");\n-// }\n-// $crmService->syncOpportunity('374720564');\n+ // if ($i % 25 === 0) {\n+ // $this->info(\"Syncing opportunity {$i}\");\n+ $this->info(\"Matching contact {$i}\");\n+ // }\n+ // $crmService->syncOpportunity('374720564');\n $crmService->matchByName('Robot');\n }\n }\n\n ----------- end diff -----------\n\n\nFixed 4 of 5666 files in 146.870 seconds, 60.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ csfix \ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5666/5666 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n\nFixed 0 of 5666 files in 106.192 seconds, 60.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ csfix\ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5666/5666 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n\nFixed 0 of 5666 files in 66.457 seconds, 60.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $","depth":4,"on_screen":true,"value":"Last login: Thu May 7 09:44:56 on ttys007\n\nPoetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20773-fix-automated-reports-user-pilot-tracking) $ git status\nOn branch master\nYour branch is up to date with 'origin/master'.\n\nChanges not staged for commit:\n (use \"git add <file>...\" to update what will be committed)\n (use \"git restore <file>...\" to discard changes in working directory)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: .env.local\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Console/Commands/JiminnyDebugCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Jobs/Team/SyncToIntercom.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Services/PlaybackService.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: config/logging.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: resources/views/partials/crm/push-summary/html-assembly.blade.php\n\nUntracked files:\n (use \"git add <file>...\" to include in what will be committed)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.nikilocal\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.other\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tWEBHOOK_FILTERING_IMPLEMENTATION.md\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tids.txt\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tpublic/favicon.ico\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\traw_sql_query.sql\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\ttests/Unit/Policies/CanAccessAiReportsTest.php\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 1482, done.\nremote: Counting objects: 100% (481/481), done.\nremote: Compressing objects: 100% (191/191), done.\nremote: Total 1482 (delta 349), reused 305 (delta 289), pack-reused 1001 (from 4)\nReceiving objects: 100% (1482/1482), 1017.97 KiB | 1.44 MiB/s, done.\nResolving deltas: 100% (877/877), completed with 96 local objects.\nFrom github.com:jiminny/app\n 83b628967a..ad2ce76737 master -> origin/master\n 1ee8cbcb7b..14f54b5be2 JY-17836-participant-speeches-in-s3 -> origin/JY-17836-participant-speeches-in-s3\n 5662c3b32f..b167b19973 JY-20289-api-tests -> origin/JY-20289-api-tests\n b40408cfad..f23cfee7c3 JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null -> origin/JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null\n * [new branch] JY-20395-fix-memory-issue-with-mail-import -> origin/JY-20395-fix-memory-issue-with-mail-import\n * [new branch] JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n * [new branch] JY-20662-remove-word-boost -> origin/JY-20662-remove-word-boost\n * [new branch] JY-20742-mcp-poc -> origin/JY-20742-mcp-poc\n * [new branch] make-claude-great-again -> origin/make-claude-great-again\n * [new branch] secfix/composer-20260507 -> origin/secfix/composer-20260507\n * [new branch] secfix/npm-20260507 -> origin/secfix/npm-20260507\nUpdating 83b628967a..ad2ce76737\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Jobs/Team/SyncToIntercom.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tresources/views/partials/crm/push-summary/html-assembly.blade.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 83b628967a..ad2ce76737\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Jobs/Team/SyncToIntercom.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tresources/views/partials/crm/push-summary/html-assembly.blade.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 83b628967a..ad2ce76737\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Jobs/Team/SyncToIntercom.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 83b628967a..ad2ce76737\nFast-forward\n .cursor/rules/frontend-conventions.mdc | 23 ++\n .env.production-eu | 2 +-\n .env.staging | 2 +-\n Makefile | 10 +\n app/Component/ActivityAnalytics/Service/ActivityAnalyticsService.php | 6 +-\n app/Component/AiAutomation/Repositories/AiTemplateFieldsRepository.php | 32 +-\n app/Component/AiCallScoring/Repositories/AiScorecardRepository.php | 56 ++--\n app/Component/AskAnything/AskAnythingPromptService.php | 3 +\n app/Component/Transcription/Job/FinishTranscriptionJob.php | 37 ++-\n app/Component/Transcription/TranscriptionProcessor/Gong/Gong.php | 18 +-\n app/Component/Twilio/Conference/ConferenceManager/SoftPhoneManager.php | 4 +-\n app/Component/Twilio/Service/SoftPhoneService.php | 124 ++++---\n app/Component/Twilio/TwilioRepository.php | 27 ++\n app/Console/Commands/CoachingFeedbacksUpdateEsActivities.php | 59 ----\n app/Console/Commands/Reports/AutomatedReportsCommand.php | 122 +++++--\n app/Console/Commands/RunAiCallScoringForUntypedActivitiesCommand.php | 200 ++++++++++++\n app/Console/Commands/UpdateActivitiesAverageScoreExcludingFeedbacksNotSetVisibleToAll.php | 60 ----\n app/Console/Commands/Users/SyncToIntercom.php | 4 +-\n app/Console/Kernel.php | 3 +-\n app/Contracts/ES/Events/UpdateMultipleEntities.php | 4 -\n app/Contracts/ES/Events/UpdateSingleEntity.php | 4 -\n app/Contracts/Repositories/TeamRepository.php | 3 +-\n app/Events/Activities/ActivityUpdated.php | 10 +-\n app/Events/Activities/Audio/RecordingEvent.php | 6 +-\n app/Events/Activities/Softphone/Ended.php | 8 +-\n app/Events/Activities/Softphone/SoftphoneEvent.php | 24 +-\n app/Events/Activities/Softphone/Started.php | 8 +-\n app/Http/Controllers/API/ActivityController.php | 17 +-\n app/Http/Controllers/API/SoftphoneController.php | 9 +-\n app/Http/Controllers/API/UserAutomatedReports/UserAutomatedReportsController.php | 19 +-\n app/Http/Controllers/API/V2/AskAnythingController.php | 2 +-\n app/Http/Controllers/Auth/SocialController.php | 6 +-\n app/Http/Controllers/Kiosk/AutomatedReportsController.php | 38 ++-\n app/Http/Controllers/Kiosk/OrganizationsController.php | 8 +-\n app/Http/Controllers/Kiosk/PartnersController.php | 46 +++\n app/Http/Controllers/Kiosk/SearchController.php | 8 +\n app/Http/Controllers/Kiosk/Teams/OnboardController.php | 24 +-\n app/Http/Controllers/Settings/Teams/IntegrationController.php | 6 +-\n app/Http/Controllers/TeamSetupController.php | 4 +-\n app/Http/Controllers/Telephony/TextMessaging/MessageController.php | 12 +-\n app/Http/Controllers/Telephony/TextMessaging/WebhookController.php | 18 +-\n app/Http/Requests/Settings/Teams/CreateTeamRequest.php | 1 +\n app/Http/Requests/Settings/Teams/EditTeamRequest.php | 1 +\n app/Http/Transformers/ActivityTransformer.php | 4 +-\n app/Http/Transformers/OnDemandActivitiesTransformer.php | 2 +-\n app/Http/Transformers/PartnerTransformer.php | 1 +\n app/Http/Transformers/StageTransformer.php | 6 +-\n app/Http/Transformers/UserTransformer.php | 11 +-\n app/Interactions/Settings/Teams/CreateTeam.php | 3 +\n app/Jobs/AutomatedReports/RequestGenerateAskJiminnyReportJob.php | 80 ++++-\n app/Jobs/AutomatedReports/SendReportExpiringSoonMailJob.php | 119 +++++++\n app/Jobs/AutomatedReports/SendReportNotGeneratedMailJob.php | 89 +++++\n app/Jobs/Crm/Hubspot/ImportBatchJobTrait.php | 12 +-\n app/Jobs/Crm/UpdateStage.php | 3 +\n app/Jobs/Team/SyncToIntercom.php | 7 +-\n app/Listeners/Teams/SyncIntercomCompany.php | 5 +-\n app/Listeners/Teams/UpdateSalesforceAccount.php | 8 +-\n app/Listeners/Users/SyncIntercom.php | 5 +-\n app/Mail/Reports/AskJiminnyReportExpiringMail.php | 40 +++\n app/Mail/Reports/ReportNotGenerated.php | 41 +++\n app/Models/Activity.php | 25 +-\n app/Models/Activity/Question.php | 14 +-\n app/Models/Activity/Search.php | 7 +\n app/Models/AskAnything/AskAnythingPrompt.php | 6 +\n app/Models/AutomatedReport.php | 10 +\n app/Models/CoachingFeedback.php | 44 ++-\n app/Models/ElasticSearch/ActivityElasticSearchTrait.php | 86 +----\n app/Models/ElasticSearch/OpportunityElasticSearchTrait.php | 71 ----\n app/Models/ElasticSearch/SharedDocumentDeleteTrait.php | 27 --\n app/Models/Partner.php | 13 +\n app/Models/Playlist/Activity.php | 14 +-\n app/Notifications/OwnerInvitedToTrial.php | 14 +-\n app/Policies/UserPolicy.php | 16 +-\n app/Queue/Worker/Worker.php | 3 +-\n app/Repositories/ActivityRepository.php | 13 +-\n app/Repositories/AutomatedReportsRepository.php | 42 ++-\n app/Repositories/TeamRepository.php | 21 +-\n app/Repositories/UserRepository.php | 2 +-\n app/Services/Activity/MeetingBotService.php | 8 +-\n app/Services/ActivityService.php | 111 ++-----\n app/Services/Crm/Hubspot/Service.php | 36 +-\n app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 2 +-\n app/Services/Kiosk/AutomatedReports/AskJiminnyReportActivityService.php | 5 +-\n app/Services/Kiosk/AutomatedReports/AutomatedReportsService.php | 49 +--\n app/Services/Kiosk/KioskService.php | 7 +-\n app/Services/Webhook/Triggers/AiScorecardCompletedTrigger.php | 13 +-\n app/UseCases/TeamInsights/ConversationRowMapper.php | 78 +++++\n app/UseCases/TeamInsights/RecordingOutcomeTextResolver.php | 68 ++++\n app/UseCases/TeamInsights/StrictConsentColumnResolver.php | 45 +++\n app/UseCases/TeamInsights/TeamConversationsExport.php | 154 ++++-----\n composer.json | 1 -\n composer.lock | 95 +-----\n config/secure-headers.php | 5 +-\n database/mappings/mapping_activities.json | 16 +\n database/migrations/2026_04_14_000000_add_rockeed_partner.php | 51 +++\n database/migrations/2026_04_22_000000_add_success_email_to_partners.php | 26 ++\n database/migrations/2026_04_27_000000_add_label_to_partners.php | 28 ++\n database/migrations/2026_04_29_105053_move_ask_jiminny_reports_to_grow_tier.php | 79 +++++\n front-end/package.json | 5 +-\n front-end/src/__mocks__/jiminny.js | 4 +-\n front-end/src/__mocks__/kit/endpoints/automated-reports-promo.js | 9 +\n front-end/src/__mocks__/setup.js | 1 +\n front-end/src/apps/ai-reports-promo.js | 22 ++\n front-end/src/components/AiReports/AiReportsPromo.vue | 22 ++\n front-end/src/components/AiReports/AutomatedReportsPromo/AutomatedReportsPromo.vue | 190 +++++++++++\n front-end/src/components/AiReports/AutomatedReportsPromo/PromoCard.vue | 111 +++++++\n front-end/src/components/AiReports/AutomatedReportsPromo/WhyItMattersCard.vue | 103 ++++++\n front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/AutomatedReportsPromo.spec.js | 98 ++++++\n .../src/components/AiReports/AutomatedReportsPromo/__tests__/__snapshots__/automated-reports-promo.output.html | 283 ++++++++++++++++\n front-end/src/components/AiReports/Manage/ManageAiReports.vue | 8 +-\n front-end/src/components/AiReports/PanoramaReportsPromo/PanoramaReportsPromo.vue | 228 +++++++++++++\n front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/PanoramaReportsPromo.spec.js | 71 ++++\n .../src/components/AiReports/PanoramaReportsPromo/__tests__/__snapshots__/panorama-reports-promo.output.html | 217 ++++++++++++\n front-end/src/components/AiReports/constants.js | 7 +\n front-end/src/components/Settings/Kiosk/OrganizationSearch/Organizations.vue | 1 +\n front-end/src/components/Settings/Kiosk/__mocks__/Jiminny.js | 1 +\n front-end/src/components/Settings/Kiosk/modals/EditTeamModal/EditTeamModal.vue | 43 ++-\n front-end/src/components/Settings/Kiosk/modals/EditTeamModal/__tests__/EditTeamModal.spec.js | 203 ++++++++++++\n front-end/src/components/Settings/Kiosk/shared/Navigation/Navigation.vue | 3 +\n front-end/src/components/Settings/Kiosk/shared/Navigation/__tests__/Navigation.spec.js | 67 ++++\n front-end/src/components/TeamInsights/CoachingFrameworks/AICallScoring/aiCallScoringOverTime.ts | 4 +-\n front-end/src/components/TeamInsights/CoachingFrameworks/UsersList.vue | 2 +-\n front-end/src/components/layout/Sidebar/HelpMenu.vue | 25 +-\n front-end/src/components/layout/Sidebar/Sidebar.vue | 27 +-\n front-end/src/components/layout/Sidebar/__tests__/HelpMenu.spec.js | 94 ++++++\n front-end/src/components/layout/Sidebar/__tests__/__snapshots__/Sidebar.spec.js.snap | 4 +-\n front-end/src/components/layout/Sidebar/__tests__/useAiReportsSidebarButton.spec.js | 204 ++++++++++++\n front-end/src/components/layout/Sidebar/useAiReportsSidebarButton.js | 49 +++\n front-end/src/main.js | 1 +\n front-end/src/store/modules/TeamInsights/util.js | 1 +\n front-end/src/store/modules/platform/__tests__/getters.spec.js | 22 ++\n front-end/src/store/modules/platform/getters.js | 3 +\n front-end/src/utils/index.js | 11 +\n front-end/yarn.lock | 21 +-\n phpstan-baseline.neon | 60 ----\n public/pdf/exec-reports/com/coaching-profiles.pdf | Bin 0 -> 1531178 bytes\n public/pdf/exec-reports/com/exec-summary.pdf | Bin 0 -> 2237381 bytes\n public/pdf/exec-reports/com/loss-report.pdf | Bin 0 -> 1955343 bytes\n public/pdf/exec-reports/com/product-feedback.pdf | Bin 0 -> 2184417 bytes\n public/pdf/exec-reports/eu/coaching-profiles.pdf | Bin 0 -> 1528704 bytes\n public/pdf/exec-reports/eu/exec-summary.pdf | Bin 0 -> 2296741 bytes\n public/pdf/exec-reports/eu/loss-report.pdf | Bin 0 -> 1955808 bytes\n public/pdf/exec-reports/eu/product-feedback.pdf | Bin 0 -> 2184083 bytes\n resources/views/emails/reports/ask-jiminny-report-expiring.blade.php | 22 ++\n resources/views/emails/reports/report-not-generated.blade.php | 24 ++\n resources/views/partials/crm/push-summary/html-assembly.blade.php | 2 +-\n routes/api.php | 6 +\n routes/web.php | 4 +\n tests/Feature/Policies/UserPolicyTest.php | 90 ++++-\n tests/Unit/Component/ActivityAnalytics/Service/ActivityAnalyticsServiceTest.php | 40 +++\n tests/Unit/Component/AskAnything/AskAnythingPromptServiceTest.php | 26 ++\n tests/Unit/Component/Transcription/Job/FinishTranscriptionJobTest.php | 276 ++++++++++++++++\n tests/Unit/Component/Transcription/TranscriptionProcessor/Gong/GongTest.php | 375 +++++++++++++++++++++\n tests/Unit/Component/Twilio/Service/SoftPhoneServiceTest.php | 1014 +++++++++++++++++++++++++++++++++++++++++++++++++++++++--\n tests/Unit/Console/Commands/Reports/AutomatedReportsCommandTest.php | 157 ++++++++-\n tests/Unit/Events/Activities/Audio/RecordingEventTest.php | 72 ++++\n tests/Unit/Events/Activities/Softphone/EndedTest.php | 86 +++++\n tests/Unit/Events/Activities/Softphone/SoftphoneEventTest.php | 88 +++++\n tests/Unit/Events/Activities/Softphone/StartedTest.php | 86 +++++\n tests/Unit/Http/Controllers/Kiosk/AutomatedReportsControllerTest.php | 99 ++++++\n tests/Unit/Http/Transformers/ActivityTransformerTest.php | 5 +-\n tests/Unit/Http/Transformers/PartnerTransformerTest.php | 34 ++\n tests/Unit/Interactions/Settings/Teams/CreateTeamTest.php | 49 +++\n tests/Unit/Jobs/AutomatedReports/RequestGenerateAskJiminnyReportJobTest.php | 106 +++++-\n tests/Unit/Jobs/AutomatedReports/SendReportExpiringSoonMailJobTest.php | 205 ++++++++++++\n tests/Unit/Jobs/AutomatedReports/SendReportNotGeneratedMailJobTest.php | 188 +++++++++++\n tests/Unit/Jobs/Crm/ImportOpportunityBatchTest.php | 2 +-\n tests/Unit/Jobs/Team/SyncToIntercomTest.php | 6 +\n tests/Unit/Listeners/Teams/SyncIntercomCompanyTest.php | 59 ++++\n tests/Unit/Listeners/Teams/UpdateSalesforceAccountTest.php | 11 +-\n tests/Unit/Listeners/Users/SyncIntercomTest.php | 59 ++++\n tests/Unit/Mail/Reports/ReportNotGeneratedTest.php | 166 ++++++++++\n tests/Unit/Models/PartnerTest.php | 28 ++\n tests/Unit/Repositories/AutomatedReportsRepositoryTest.php | 68 ++++\n tests/Unit/Services/Activity/MeetingBotServiceRequestRecordingToStopTest.php | 14 +-\n tests/Unit/Services/ActivityServiceTest.php | 391 ++++++++++++++++++++++\n tests/Unit/Services/Crm/Hubspot/ServiceResponseNormalizeTest.php | 68 ++--\n tests/Unit/Services/Kiosk/AutomatedReports/AskJiminnyReportActivityServiceTest.php | 48 +--\n tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceActivitiesCountTest.php | 16 +-\n tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceReportGenerationTest.php | 24 +-\n tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceTest.php | 130 ++++++++\n tests/Unit/Services/KioskServiceTest.php | 8 +\n tests/Unit/Services/Webhook/Triggers/AiScorecardCompletedTriggerTest.php | 6 +-\n tests/Unit/UseCases/TeamInsights/RecordingOutcomeTextResolverTest.php | 119 +++++++\n tests/Unit/UseCases/TeamInsights/StrictConsentColumnResolverTest.php | 108 ++++++\n tests/Unit/UseCases/TeamInsights/TeamConversationsExportTest.php | 342 ++++++++++++++-----\n 186 files changed, 8538 insertions(+), 1233 deletions(-)\n create mode 100644 app/Component/Twilio/TwilioRepository.php\n delete mode 100644 app/Console/Commands/CoachingFeedbacksUpdateEsActivities.php\n create mode 100644 app/Console/Commands/RunAiCallScoringForUntypedActivitiesCommand.php\n delete mode 100644 app/Console/Commands/UpdateActivitiesAverageScoreExcludingFeedbacksNotSetVisibleToAll.php\n create mode 100644 app/Http/Controllers/Kiosk/PartnersController.php\n create mode 100644 app/Jobs/AutomatedReports/SendReportExpiringSoonMailJob.php\n create mode 100644 app/Jobs/AutomatedReports/SendReportNotGeneratedMailJob.php\n create mode 100644 app/Mail/Reports/AskJiminnyReportExpiringMail.php\n create mode 100644 app/Mail/Reports/ReportNotGenerated.php\n delete mode 100644 app/Models/ElasticSearch/SharedDocumentDeleteTrait.php\n create mode 100644 app/UseCases/TeamInsights/ConversationRowMapper.php\n create mode 100644 app/UseCases/TeamInsights/RecordingOutcomeTextResolver.php\n create mode 100644 app/UseCases/TeamInsights/StrictConsentColumnResolver.php\n create mode 100644 database/migrations/2026_04_14_000000_add_rockeed_partner.php\n create mode 100644 database/migrations/2026_04_22_000000_add_success_email_to_partners.php\n create mode 100644 database/migrations/2026_04_27_000000_add_label_to_partners.php\n create mode 100644 database/migrations/2026_04_29_105053_move_ask_jiminny_reports_to_grow_tier.php\n create mode 100644 front-end/src/__mocks__/kit/endpoints/automated-reports-promo.js\n create mode 100644 front-end/src/apps/ai-reports-promo.js\n create mode 100644 front-end/src/components/AiReports/AiReportsPromo.vue\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/AutomatedReportsPromo.vue\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/PromoCard.vue\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/WhyItMattersCard.vue\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/AutomatedReportsPromo.spec.js\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/__snapshots__/automated-reports-promo.output.html\n create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/PanoramaReportsPromo.vue\n create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/PanoramaReportsPromo.spec.js\n create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/__snapshots__/panorama-reports-promo.output.html\n create mode 100644 front-end/src/components/Settings/Kiosk/modals/EditTeamModal/__tests__/EditTeamModal.spec.js\n create mode 100644 front-end/src/components/Settings/Kiosk/shared/Navigation/__tests__/Navigation.spec.js\n create mode 100644 front-end/src/components/layout/Sidebar/__tests__/HelpMenu.spec.js\n create mode 100644 front-end/src/components/layout/Sidebar/__tests__/useAiReportsSidebarButton.spec.js\n create mode 100644 front-end/src/components/layout/Sidebar/useAiReportsSidebarButton.js\n create mode 100644 front-end/src/store/modules/platform/__tests__/getters.spec.js\n create mode 100644 public/pdf/exec-reports/com/coaching-profiles.pdf\n create mode 100644 public/pdf/exec-reports/com/exec-summary.pdf\n create mode 100644 public/pdf/exec-reports/com/loss-report.pdf\n create mode 100644 public/pdf/exec-reports/com/product-feedback.pdf\n create mode 100644 public/pdf/exec-reports/eu/coaching-profiles.pdf\n create mode 100644 public/pdf/exec-reports/eu/exec-summary.pdf\n create mode 100644 public/pdf/exec-reports/eu/loss-report.pdf\n create mode 100644 public/pdf/exec-reports/eu/product-feedback.pdf\n create mode 100644 resources/views/emails/reports/ask-jiminny-report-expiring.blade.php\n create mode 100644 resources/views/emails/reports/report-not-generated.blade.php\n create mode 100644 tests/Unit/Component/Transcription/Job/FinishTranscriptionJobTest.php\n create mode 100644 tests/Unit/Component/Transcription/TranscriptionProcessor/Gong/GongTest.php\n create mode 100644 tests/Unit/Events/Activities/Audio/RecordingEventTest.php\n create mode 100644 tests/Unit/Events/Activities/Softphone/EndedTest.php\n create mode 100644 tests/Unit/Events/Activities/Softphone/SoftphoneEventTest.php\n create mode 100644 tests/Unit/Events/Activities/Softphone/StartedTest.php\n create mode 100644 tests/Unit/Http/Transformers/PartnerTransformerTest.php\n create mode 100644 tests/Unit/Jobs/AutomatedReports/SendReportExpiringSoonMailJobTest.php\n create mode 100644 tests/Unit/Jobs/AutomatedReports/SendReportNotGeneratedMailJobTest.php\n create mode 100644 tests/Unit/Listeners/Teams/SyncIntercomCompanyTest.php\n create mode 100644 tests/Unit/Listeners/Users/SyncIntercomTest.php\n create mode 100644 tests/Unit/Mail/Reports/ReportNotGeneratedTest.php\n create mode 100644 tests/Unit/Models/PartnerTest.php\n create mode 100644 tests/Unit/Services/ActivityServiceTest.php\n create mode 100644 tests/Unit/UseCases/TeamInsights/RecordingOutcomeTextResolverTest.php\n create mode 100644 tests/Unit/UseCases/TeamInsights/StrictConsentColumnResolverTest.php\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull \nremote: Enumerating objects: 628, done.\nremote: Counting objects: 100% (331/331), done.\nremote: Compressing objects: 100% (63/63), done.\nremote: Total 628 (delta 280), reused 274 (delta 266), pack-reused 297 (from 1)\nReceiving objects: 100% (628/628), 186.75 KiB | 1.23 MiB/s, done.\nResolving deltas: 100% (391/391), completed with 57 local objects.\nFrom github.com:jiminny/app\n ad2ce76737..12295204cf master -> origin/master\n 14f54b5be2..5e7646e5f9 JY-17836-participant-speeches-in-s3 -> origin/JY-17836-participant-speeches-in-s3\n b167b19973..acba55cf38 JY-20289-api-tests -> origin/JY-20289-api-tests\n f23cfee7c3..e5a3ec5dba JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null -> origin/JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null\n af59d60926..766efba1c5 JY-20395-fix-memory-issue-with-mail-import -> origin/JY-20395-fix-memory-issue-with-mail-import\n * [new branch] JY-20493-smart-instant-nudge-pre-filtering -> origin/JY-20493-smart-instant-nudge-pre-filtering\n 1737b7c528..c57e71e763 JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n * [new branch] JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech\n + ba181441c6...20a74137b0 JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)\n * [new branch] JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue\n * [new branch] JY-20816-calendar-events-diplication -> origin/JY-20816-calendar-events-diplication\n * [new branch] desktop-app -> origin/desktop-app\n 4c4c974e46..185442c26e make-claude-great-again -> origin/make-claude-great-again\n * [new branch] mcp-tools-schemas -> origin/mcp-tools-schemas\nUpdating ad2ce76737..12295204cf\nFast-forward\n app/Component/Encoding/Job/AnalyzeTrackChannelsJob.php | 2 +-\n app/Component/Transcription/TranscriptionProcessor/AssemblyAI/Services/SubmitAudioFileService.php | 66 ++----------------------------------------------------------------\n app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 24 +++++++++++++++++-------\n tests/Unit/Console/Commands/Tracks/CleanupActivityTracksCommandTest.php | 40 +++++++++++++++++++++++++++++-----------\n tests/Unit/fixtures/assembly_ai_transcript_response.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_channel_diarization.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_language.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_language_error.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_language_not_ready.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_language_post.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_without_utterances.json | 1 -\n 11 files changed, 49 insertions(+), 90 deletions(-)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20818-move-AJ-reports-to-separated-datadog-metric\nSwitched to a new branch 'JY-20818-move-AJ-reports-to-separated-datadog-metric'\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ csfix\ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5663/5663 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n\nFixed 0 of 5663 files in 83.615 seconds, 67.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ ;xd\ndocker exec -it docker_lamp_1 bash -c \"mv /usr/local/etc/php/conf.d/xdebug.ini ~/xdebug.ini\"\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\ndocker exec -it docker_lamp_1 supervisorctl restart all\njiminny-worker-processing-2:jiminny-worker-processing-2_00: stopped\njiminny-worker-processing-3:jiminny-worker-processing-3_00: stopped\njiminny-worker-processing-4:jiminny-worker-processing-4_00: stopped\njiminny-worker-processing-5:jiminny-worker-processing-5_00: stopped\njiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: stopped\nworker-analytics:worker-analytics_00: stopped\nworker-crm-update:worker-crm-update_00: stopped\nworker-download:worker-download_00: stopped\nworker-nudges:worker-nudges_00: stopped\nartisan-schedule:artisan-schedule_00: stopped\nworker-calendar:worker-calendar_00: stopped\nworker-crm-sync:worker-crm-sync_00: stopped\njiminny-worker-processing-1:jiminny-worker-processing-1_00: stopped\nworker:worker_00: stopped\nworker-emails:worker-emails_00: stopped\nworker-audio:worker-audio_00: stopped\nworker-conferences:worker-conferences_00: stopped\nworker-es-update:worker-es-update_00: stopped\nartisan-schedule:artisan-schedule_00: started\njiminny-worker-processing-1:jiminny-worker-processing-1_00: started\njiminny-worker-processing-2:jiminny-worker-processing-2_00: started\njiminny-worker-processing-3:jiminny-worker-processing-3_00: started\njiminny-worker-processing-4:jiminny-worker-processing-4_00: started\njiminny-worker-processing-5:jiminny-worker-processing-5_00: started\njiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: started\nworker:worker_00: started\nworker-analytics:worker-analytics_00: started\nworker-audio:worker-audio_00: started\nworker-calendar:worker-calendar_00: started\nworker-conferences:worker-conferences_00: started\nworker-crm-sync:worker-crm-sync_00: started\nworker-crm-update:worker-crm-update_00: started\nworker-download:worker-download_00: started\nworker-emails:worker-emails_00: started\nworker-es-update:worker-es-update_00: started\nworker-nudges:worker-nudges_00: started\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\ndocker exec -it docker_lamp_1 php -v\nPHP 8.3.30 (cli) (built: Mar 16 2026 22:32:32) (NTS)\nCopyright (c) The PHP Group\nZend Engine v4.3.30, Copyright (c) Zend Technologies\n with Zend OPcache v8.3.30, Copyright (c), by Zend Technologies\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ csfix\ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5663/5663 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n\nFixed 0 of 5663 files in 42.875 seconds, 60.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ git status\nOn branch master\nYour branch is up to date with 'origin/master'.\n\nChanges not staged for commit:\n (use \"git add <file>...\" to update what will be committed)\n (use \"git restore <file>...\" to discard changes in working directory)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: .env.local\n\nUntracked files:\n (use \"git add <file>...\" to include in what will be committed)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.nikilocal\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.other\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tWEBHOOK_FILTERING_IMPLEMENTATION.md\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tids.txt\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tpublic/favicon.ico\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\traw_sql_query.sql\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\ttests/Unit/Policies/CanAccessAiReportsTest.php\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 15, done.\nremote: Counting objects: 100% (15/15), done.\nremote: Compressing objects: 100% (2/2), done.\nremote: Total 15 (delta 13), reused 15 (delta 13), pack-reused 0 (from 0)\nUnpacking objects: 100% (15/15), 1.28 KiB | 72.00 KiB/s, done.\nFrom github.com:jiminny/app\n c57e71e763..8743fea32e JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n * [new branch] JY-20819-increase-download-transctip-rate-limit -> origin/JY-20819-increase-download-transctip-rate-limit\nAlready up to date.\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull \nremote: Enumerating objects: 180, done.\nremote: Counting objects: 100% (179/179), done.\nremote: Compressing objects: 100% (55/55), done.\nremote: Total 180 (delta 127), reused 165 (delta 119), pack-reused 1 (from 1)\nReceiving objects: 100% (180/180), 57.50 KiB | 2.74 MiB/s, done.\nResolving deltas: 100% (127/127), completed with 47 local objects.\nFrom github.com:jiminny/app\n 12295204cf..35f036ace6 master -> origin/master\n * [new branch] JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5\n 5f21965da8..497fbc85c2 JY-20493-smart-instant-nudge-pre-filtering -> origin/JY-20493-smart-instant-nudge-pre-filtering\n f029263118..6ed9e2bb13 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue\n * [new branch] JY-20817-fix-deleting-s3-directories -> origin/JY-20817-fix-deleting-s3-directories\n * [new branch] JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration\n + ca92730ec5...2c8a1d0856 desktop-app -> origin/desktop-app (forced update)\n 8425d4e0de..89b45ec8b0 mcp-tools-schemas -> origin/mcp-tools-schemas\nUpdating 12295204cf..35f036ace6\nFast-forward\n app/Component/Datadog/Constants.php | 1 +\n app/Providers/RouteServiceProvider.php | 2 +-\n app/Services/Kiosk/AutomatedReports/AutomatedReportsCallbackService.php | 13 +++++++++++++\n tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsCallbackServiceTest.php | 54 +++++++++++++++++++++++++++++++++++++++++++++++-------\n 4 files changed, 62 insertions(+), 8 deletions(-)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ gbr \n* master\n JY-20818-move-AJ-reports-to-separated-datadog-metric\n JY-20773-fix-automated-reports-user-pilot-tracking\n JY-20157-AJ-report-not-send-notification\n JY-20508-notify-before-AJ-report-expiration\n JY-20372-ai-reports-promotion-pages\n JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null\n JY-20738-debug-AJ-tracking-UP\n a\n JY-18909-automated-reports-ask-jiminny\n JY-20692-fix-integration-app-token-auth-response-change\n JY-20553-debug-crm-sync-delays\n JY-20698-fix-SF-activity-types-on-new-playbook\n JY-20543-AJ-report-tracking\n JY-20384-handle-auto-sync-with-no-access-to-event-type\n JY-20458-ask-jiminny-user-definitions\n JY-19666-fix-import-contacts-account-association\n JY-19666-HS-import-contacts-and-accounts-batch-job\n JY-20458-Ask-Jiminny-Reports\n JY-20200-batch-update-CRM-objects-Salesforce\n JY-19666-HS-webhooks-add-contact-and-company\n JY-20348-trigger-setup-DI-layout-on-team-creation\n JY-20326-refactor-info-message-in-command\n JY-20317-fix-auto-log-delay-issue-on-all-channels-disabled\n JY-20312-remove-on-update-change-last-synced-at-crm-configurations\n JY-20306-SF-skip-auto-sync-for-task-based-playbook\n JY-20192-remove-deleted-team-from-saved-search-filters\n JY-20197-import-opportunity-batch-job\n JY-20293-enable-status-field-for-pipedrive-deals\n JY-20191-remove-commands-interactive-prompts\n JY-20118-change-default-sync-strategy\n JY-20183-add-cache-on-auto-log-delay\n JY-20197-add-import-opportunity-batch-job\n 20118-hs-opportunity-make-webhook-strategy-default\n JY-20118-make-default-hs-opportunity-sync-strategy-webhook-based\n JY-20196-handle-opportunity-without-note\n JY-20118-improve-opportunity-import\n JY-20189-handle-activity-search-on-deleted-groups\n JY-20160\n JY-20145-filter-out-converted-leads-when-matching\n JY-20150-skip-push-summary-on-summary-ready-if-autolog\n JY-20132-fix-note-encoding\n JY-19792-clean-logs\n JY-20117-fix-sync-profile-fields-on-empty-fields\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20725-handle-HS-search-rate-limit \nSwitched to a new branch 'JY-20725-handle-HS-search-rate-limit'\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ ;xd\ndocker exec -it docker_lamp_1 bash -c \"mv /usr/local/etc/php/conf.d/xdebug.ini ~/xdebug.ini\"\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\ndocker exec -it docker_lamp_1 supervisorctl restart all\njiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: stopped\njiminny-worker-processing-2:jiminny-worker-processing-2_00: stopped\njiminny-worker-processing-3:jiminny-worker-processing-3_00: stopped\njiminny-worker-processing-4:jiminny-worker-processing-4_00: stopped\njiminny-worker-processing-5:jiminny-worker-processing-5_00: stopped\nworker-analytics:worker-analytics_00: stopped\nworker-crm-update:worker-crm-update_00: stopped\nworker-download:worker-download_00: stopped\nworker-nudges:worker-nudges_00: stopped\nartisan-schedule:artisan-schedule_00: stopped\nworker-emails:worker-emails_00: stopped\nworker:worker_00: stopped\nworker-calendar:worker-calendar_00: stopped\njiminny-worker-processing-1:jiminny-worker-processing-1_00: stopped\nworker-crm-sync:worker-crm-sync_00: stopped\nworker-audio:worker-audio_00: stopped\nworker-conferences:worker-conferences_00: stopped\nworker-es-update:worker-es-update_00: stopped\nartisan-schedule:artisan-schedule_00: started\njiminny-worker-processing-1:jiminny-worker-processing-1_00: started\njiminny-worker-processing-2:jiminny-worker-processing-2_00: started\njiminny-worker-processing-3:jiminny-worker-processing-3_00: started\njiminny-worker-processing-4:jiminny-worker-processing-4_00: started\njiminny-worker-processing-5:jiminny-worker-processing-5_00: started\njiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: started\nworker:worker_00: started\nworker-analytics:worker-analytics_00: started\nworker-audio:worker-audio_00: started\nworker-calendar:worker-calendar_00: started\nworker-conferences:worker-conferences_00: started\nworker-crm-sync:worker-crm-sync_00: started\nworker-crm-update:worker-crm-update_00: started\nworker-download:worker-download_00: started\nworker-emails:worker-emails_00: started\nworker-es-update:worker-es-update_00: started\nworker-nudges:worker-nudges_00: started\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\ndocker exec -it docker_lamp_1 php -v\nPHP 8.3.30 (cli) (built: Mar 16 2026 22:32:32) (NTS)\nCopyright (c) The PHP Group\nZend Engine v4.3.30, Copyright (c) Zend Technologies\n with Zend OPcache v8.3.30, Copyright (c), by Zend Technologies\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ csfix\ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5666/5666 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n 1) app/Jobs/Crm/MatchActivityCrmData.php (ordered_class_elements)\n ---------- begin diff ----------\n--- /home/jiminny/app/Jobs/Crm/MatchActivityCrmData.php\n+++ /home/jiminny/app/Jobs/Crm/MatchActivityCrmData.php\n@@ -29,24 +29,14 @@\n use InteractsWithQueue;\n use SerializesModels;\n \n+ private const int RETRY_WINDOW_MINUTES = 120;\n+\n public int $maxExceptions = 3;\n \n- private const int RETRY_WINDOW_MINUTES = 120;\n-\n private int $activityId;\n private ?Configuration $fromConfiguration;\n private bool $remoteSearch;\n \n- public function middleware(): array\n- {\n- return [new HandleHubspotRateLimit()];\n- }\n-\n- public function retryUntil(): \\DateTimeInterface\n- {\n- return now()->addMinutes(self::RETRY_WINDOW_MINUTES);\n- }\n-\n public function __construct(\n int $activityId,\n ?Configuration $fromConfiguration = null,\n@@ -57,6 +47,16 @@\n $this->remoteSearch = $remoteSearch;\n \n $this->onQueue(Constants::QUEUE_ANALYTICS_LOW);\n+ }\n+\n+ public function middleware(): array\n+ {\n+ return [new HandleHubspotRateLimit()];\n+ }\n+\n+ public function retryUntil(): \\DateTimeInterface\n+ {\n+ return now()->addMinutes(self::RETRY_WINDOW_MINUTES);\n }\n \n public function uniqueId(): string\n\n ----------- end diff -----------\n\n 2) app/Services/Crm/Hubspot/HubspotClientInterface.php (phpdoc_order, phpdoc_separation)\n ---------- begin diff ----------\n--- /home/jiminny/app/Services/Crm/Hubspot/HubspotClientInterface.php\n+++ /home/jiminny/app/Services/Crm/Hubspot/HubspotClientInterface.php\n@@ -46,9 +46,11 @@\n *\n * @param string $objectType The object type ('deals', 'companies', 'contacts', 'calls')\n * @param array<string, mixed> $payload The search payload with filters, sorts, properties, etc.\n- * @return array The search response with 'results', 'total', 'paging' keys\n+ *\n * @throws RateLimitException When rate limit is hit\n * @throws HubspotException On API errors\n+ *\n+ * @return array The search response with 'results', 'total', 'paging' keys\n */\n public function search(string $objectType, array $payload): array;\n }\n\n ----------- end diff -----------\n\n 3) app/Services/Crm/Hubspot/Client.php (phpdoc_order, phpdoc_separation, blank_line_before_statement)\n ---------- begin diff ----------\n--- /home/jiminny/app/Services/Crm/Hubspot/Client.php\n+++ /home/jiminny/app/Services/Crm/Hubspot/Client.php\n@@ -69,10 +69,12 @@\n * the cache near expiry are not delayed longer than necessary.\n *\n * @template T\n+ *\n * @param callable(): T $apiCall The API call to execute\n- * @return T The result of the API call\n *\n * @throws RateLimitException When rate limit is hit or cached rate limit is active\n+ *\n+ * @return T The result of the API call\n */\n private function executeRequest(callable $apiCall)\n {\n@@ -81,6 +83,7 @@\n $cachedExpiresAt = Redis::get($cacheKey);\n if (is_string($cachedExpiresAt) && is_numeric($cachedExpiresAt)) {\n $remaining = max(1, (int) $cachedExpiresAt - time());\n+\n throw new RateLimitException(\n 'Hubspot rate limit (cached circuit-breaker)',\n $remaining,\n@@ -232,9 +235,11 @@\n *\n * @param string $objectType The object type ('deals', 'companies', 'contacts', 'calls')\n * @param array<string, mixed> $payload The search payload with filters, sorts, properties, etc.\n- * @return array The search response with 'results', 'total', 'paging' keys\n+ *\n * @throws RateLimitException When rate limit is hit\n * @throws HubspotException On API errors\n+ *\n+ * @return array The search response with 'results', 'total', 'paging' keys\n */\n public function search(string $objectType, array $payload): array\n {\n\n ----------- end diff -----------\n\n 4) app/Console/Commands/JiminnyDebugCommand.php (statement_indentation)\n ---------- begin diff ----------\n--- /home/jiminny/app/Console/Commands/JiminnyDebugCommand.php\n+++ /home/jiminny/app/Console/Commands/JiminnyDebugCommand.php\n@@ -359,11 +359,11 @@\n $crmService = $crmResolver->prepareCrmService();\n \n for ($i = 0 ; $i < 3; $i++) {\n-// if ($i % 25 === 0) {\n-// $this->info(\"Syncing opportunity {$i}\");\n- $this->info(\"Matching contact {$i}\");\n-// }\n-// $crmService->syncOpportunity('374720564');\n+ // if ($i % 25 === 0) {\n+ // $this->info(\"Syncing opportunity {$i}\");\n+ $this->info(\"Matching contact {$i}\");\n+ // }\n+ // $crmService->syncOpportunity('374720564');\n $crmService->matchByName('Robot');\n }\n }\n\n ----------- end diff -----------\n\n\nFixed 4 of 5666 files in 146.870 seconds, 60.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ csfix \ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5666/5666 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n\nFixed 0 of 5666 files in 106.192 seconds, 60.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ csfix\ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5666/5666 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n\nFixed 0 of 5666 files in 66.457 seconds, 60.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"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":0.004166667,"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 (docker)","depth":2,"bounds":{"left":0.140625,"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":0.14479166,"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":0.28125,"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":0.28541666,"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":0.421875,"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":0.42604166,"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":0.5625,"top":0.05888889,"width":0.14027777,"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":0.56666666,"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":0.7027778,"top":0.05888889,"width":0.14027777,"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":0.70694447,"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":0.84305555,"top":0.05888889,"width":0.14027777,"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":0.8472222,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.9548611,"top":0.032222223,"width":0.03888889,"height":0.018888889},"on_screen":true,"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"APP (-zsh)","depth":1,"bounds":{"left":0.47430557,"top":0.033333335,"width":0.05138889,"height":0.017777778},"on_screen":true,"role_description":"text"}]...
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Last login: Thu May 7 09:44:56 on ttys007
Poetry Last login: Thu May 7 09:44:56 on ttys007
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20773-fix-automated-reports-user-pilot-tracking) $ git status
On branch master
Your branch is up to date with 'origin/master'.
Changes not staged for commit:
(use "git add <file>..." to update what will be committed)
(use "git restore <file>..." to discard changes in working directory)
modified: .env.local
modified: app/Console/Commands/JiminnyDebugCommand.php
modified: app/Jobs/Team/SyncToIntercom.php
modified: app/Services/PlaybackService.php
modified: config/logging.php
modified: resources/views/partials/crm/push-summary/html-assembly.blade.php
Untracked files:
(use "git add <file>..." to include in what will be committed)
.env.nikilocal
.env.other
WEBHOOK_FILTERING_IMPLEMENTATION.md
app/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php
app/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php
ids.txt
public/favicon.ico
raw_sql_query.sql
tests/Unit/Policies/CanAccessAiReportsTest.php
no changes added to commit (use "git add" and/or "git commit -a")
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 1482, done.
remote: Counting objects: 100% (481/481), done.
remote: Compressing objects: 100% (191/191), done.
remote: Total 1482 (delta 349), reused 305 (delta 289), pack-reused 1001 (from 4)
Receiving objects: 100% (1482/1482), 1017.97 KiB | 1.44 MiB/s, done.
Resolving deltas: 100% (877/877), completed with 96 local objects.
From github.com:jiminny/app
83b628967a..ad2ce76737 master -> origin/master
1ee8cbcb7b..14f54b5be2 JY-17836-participant-speeches-in-s3 -> origin/JY-17836-participant-speeches-in-s3
5662c3b32f..b167b19973 JY-20289-api-tests -> origin/JY-20289-api-tests
b40408cfad..f23cfee7c3 JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null -> origin/JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null
* [new branch] JY-20395-fix-memory-issue-with-mail-import -> origin/JY-20395-fix-memory-issue-with-mail-import
* [new branch] JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
* [new branch] JY-20662-remove-word-boost -> origin/JY-20662-remove-word-boost
* [new branch] JY-20742-mcp-poc -> origin/JY-20742-mcp-poc
* [new branch] make-claude-great-again -> origin/make-claude-great-again
* [new branch] secfix/composer-20260507 -> origin/secfix/composer-20260507
* [new branch] secfix/npm-20260507 -> origin/secfix/npm-20260507
Updating 83b628967a..ad2ce76737
error: Your local changes to the following files would be overwritten by merge:
app/Jobs/Team/SyncToIntercom.php
resources/views/partials/crm/push-summary/html-assembly.blade.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 83b628967a..ad2ce76737
error: Your local changes to the following files would be overwritten by merge:
app/Jobs/Team/SyncToIntercom.php
resources/views/partials/crm/push-summary/html-assembly.blade.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 83b628967a..ad2ce76737
error: Your local changes to the following files would be overwritten by merge:
app/Jobs/Team/SyncToIntercom.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 83b628967a..ad2ce76737
Fast-forward
.cursor/rules/frontend-conventions.mdc | 23 ++
.env.production-eu | 2 +-
.env.staging | 2 +-
Makefile | 10 +
app/Component/ActivityAnalytics/Service/ActivityAnalyticsService.php | 6 +-
app/Component/AiAutomation/Repositories/AiTemplateFieldsRepository.php | 32 +-
app/Component/AiCallScoring/Repositories/AiScorecardRepository.php | 56 ++--
app/Component/AskAnything/AskAnythingPromptService.php | 3 +
app/Component/Transcription/Job/FinishTranscriptionJob.php | 37 ++-
app/Component/Transcription/TranscriptionProcessor/Gong/Gong.php | 18 +-
app/Component/Twilio/Conference/ConferenceManager/SoftPhoneManager.php | 4 +-
app/Component/Twilio/Service/SoftPhoneService.php | 124 ++++---
app/Component/Twilio/TwilioRepository.php | 27 ++
app/Console/Commands/CoachingFeedbacksUpdateEsActivities.php | 59 ----
app/Console/Commands/Reports/AutomatedReportsCommand.php | 122 +++++--
app/Console/Commands/RunAiCallScoringForUntypedActivitiesCommand.php | 200 ++++++++++++
app/Console/Commands/UpdateActivitiesAverageScoreExcludingFeedbacksNotSetVisibleToAll.php | 60 ----
app/Console/Commands/Users/SyncToIntercom.php | 4 +-
app/Console/Kernel.php | 3 +-
app/Contracts/ES/Events/UpdateMultipleEntities.php | 4 -
app/Contracts/ES/Events/UpdateSingleEntity.php | 4 -
app/Contracts/Repositories/TeamRepository.php | 3 +-
app/Events/Activities/ActivityUpdated.php | 10 +-
app/Events/Activities/Audio/RecordingEvent.php | 6 +-
app/Events/Activities/Softphone/Ended.php | 8 +-
app/Events/Activities/Softphone/SoftphoneEvent.php | 24 +-
app/Events/Activities/Softphone/Started.php | 8 +-
app/Http/Controllers/API/ActivityController.php | 17 +-
app/Http/Controllers/API/SoftphoneController.php | 9 +-
app/Http/Controllers/API/UserAutomatedReports/UserAutomatedReportsController.php | 19 +-
app/Http/Controllers/API/V2/AskAnythingController.php | 2 +-
app/Http/Controllers/Auth/SocialController.php | 6 +-
app/Http/Controllers/Kiosk/AutomatedReportsController.php | 38 ++-
app/Http/Controllers/Kiosk/OrganizationsController.php | 8 +-
app/Http/Controllers/Kiosk/PartnersController.php | 46 +++
app/Http/Controllers/Kiosk/SearchController.php | 8 +
app/Http/Controllers/Kiosk/Teams/OnboardController.php | 24 +-
app/Http/Controllers/Settings/Teams/IntegrationController.php | 6 +-
app/Http/Controllers/TeamSetupController.php | 4 +-
app/Http/Controllers/Telephony/TextMessaging/MessageController.php | 12 +-
app/Http/Controllers/Telephony/TextMessaging/WebhookController.php | 18 +-
app/Http/Requests/Settings/Teams/CreateTeamRequest.php | 1 +
app/Http/Requests/Settings/Teams/EditTeamRequest.php | 1 +
app/Http/Transformers/ActivityTransformer.php | 4 +-
app/Http/Transformers/OnDemandActivitiesTransformer.php | 2 +-
app/Http/Transformers/PartnerTransformer.php | 1 +
app/Http/Transformers/StageTransformer.php | 6 +-
app/Http/Transformers/UserTransformer.php | 11 +-
app/Interactions/Settings/Teams/CreateTeam.php | 3 +
app/Jobs/AutomatedReports/RequestGenerateAskJiminnyReportJob.php | 80 ++++-
app/Jobs/AutomatedReports/SendReportExpiringSoonMailJob.php | 119 +++++++
app/Jobs/AutomatedReports/SendReportNotGeneratedMailJob.php | 89 +++++
app/Jobs/Crm/Hubspot/ImportBatchJobTrait.php | 12 +-
app/Jobs/Crm/UpdateStage.php | 3 +
app/Jobs/Team/SyncToIntercom.php | 7 +-
app/Listeners/Teams/SyncIntercomCompany.php | 5 +-
app/Listeners/Teams/UpdateSalesforceAccount.php | 8 +-
app/Listeners/Users/SyncIntercom.php | 5 +-
app/Mail/Reports/AskJiminnyReportExpiringMail.php | 40 +++
app/Mail/Reports/ReportNotGenerated.php | 41 +++
app/Models/Activity.php | 25 +-
app/Models/Activity/Question.php | 14 +-
app/Models/Activity/Search.php | 7 +
app/Models/AskAnything/AskAnythingPrompt.php | 6 +
app/Models/AutomatedReport.php | 10 +
app/Models/CoachingFeedback.php | 44 ++-
app/Models/ElasticSearch/ActivityElasticSearchTrait.php | 86 +----
app/Models/ElasticSearch/OpportunityElasticSearchTrait.php | 71 ----
app/Models/ElasticSearch/SharedDocumentDeleteTrait.php | 27 --
app/Models/Partner.php | 13 +
app/Models/Playlist/Activity.php | 14 +-
app/Notifications/OwnerInvitedToTrial.php | 14 +-
app/Policies/UserPolicy.php | 16 +-
app/Queue/Worker/Worker.php | 3 +-
app/Repositories/ActivityRepository.php | 13 +-
app/Repositories/AutomatedReportsRepository.php | 42 ++-
app/Repositories/TeamRepository.php | 21 +-
app/Repositories/UserRepository.php | 2 +-
app/Services/Activity/MeetingBotService.php | 8 +-
app/Services/ActivityService.php | 111 ++-----
app/Services/Crm/Hubspot/Service.php | 36 +-
app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 2 +-
app/Services/Kiosk/AutomatedReports/AskJiminnyReportActivityService.php | 5 +-
app/Services/Kiosk/AutomatedReports/AutomatedReportsService.php | 49 +--
app/Services/Kiosk/KioskService.php | 7 +-
app/Services/Webhook/Triggers/AiScorecardCompletedTrigger.php | 13 +-
app/UseCases/TeamInsights/ConversationRowMapper.php | 78 +++++
app/UseCases/TeamInsights/RecordingOutcomeTextResolver.php | 68 ++++
app/UseCases/TeamInsights/StrictConsentColumnResolver.php | 45 +++
app/UseCases/TeamInsights/TeamConversationsExport.php | 154 ++++-----
composer.json | 1 -
composer.lock | 95 +-----
config/secure-headers.php | 5 +-
database/mappings/mapping_activities.json | 16 +
database/migrations/2026_04_14_000000_add_rockeed_partner.php | 51 +++
database/migrations/2026_04_22_000000_add_success_email_to_partners.php | 26 ++
database/migrations/2026_04_27_000000_add_label_to_partners.php | 28 ++
database/migrations/2026_04_29_105053_move_ask_jiminny_reports_to_grow_tier.php | 79 +++++
front-end/package.json | 5 +-
front-end/src/__mocks__/jiminny.js | 4 +-
front-end/src/__mocks__/kit/endpoints/automated-reports-promo.js | 9 +
front-end/src/__mocks__/setup.js | 1 +
front-end/src/apps/ai-reports-promo.js | 22 ++
front-end/src/components/AiReports/AiReportsPromo.vue | 22 ++
front-end/src/components/AiReports/AutomatedReportsPromo/AutomatedReportsPromo.vue | 190 +++++++++++
front-end/src/components/AiReports/AutomatedReportsPromo/PromoCard.vue | 111 +++++++
front-end/src/components/AiReports/AutomatedReportsPromo/WhyItMattersCard.vue | 103 ++++++
front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/AutomatedReportsPromo.spec.js | 98 ++++++
.../src/components/AiReports/AutomatedReportsPromo/__tests__/__snapshots__/automated-reports-promo.output.html | 283 ++++++++++++++++
front-end/src/components/AiReports/Manage/ManageAiReports.vue | 8 +-
front-end/src/components/AiReports/PanoramaReportsPromo/PanoramaReportsPromo.vue | 228 +++++++++++++
front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/PanoramaReportsPromo.spec.js | 71 ++++
.../src/components/AiReports/PanoramaReportsPromo/__tests__/__snapshots__/panorama-reports-promo.output.html | 217 ++++++++++++
front-end/src/components/AiReports/constants.js | 7 +
front-end/src/components/Settings/Kiosk/OrganizationSearch/Organizations.vue | 1 +
front-end/src/components/Settings/Kiosk/__mocks__/Jiminny.js | 1 +
front-end/src/components/Settings/Kiosk/modals/EditTeamModal/EditTeamModal.vue | 43 ++-
front-end/src/components/Settings/Kiosk/modals/EditTeamModal/__tests__/EditTeamModal.spec.js | 203 ++++++++++++
front-end/src/components/Settings/Kiosk/shared/Navigation/Navigation.vue | 3 +
front-end/src/components/Settings/Kiosk/shared/Navigation/__tests__/Navigation.spec.js | 67 ++++
front-end/src/components/TeamInsights/CoachingFrameworks/AICallScoring/aiCallScoringOverTime.ts | 4 +-
front-end/src/components/TeamInsights/CoachingFrameworks/UsersList.vue | 2 +-
front-end/src/components/layout/Sidebar/HelpMenu.vue | 25 +-
front-end/src/components/layout/Sidebar/Sidebar.vue | 27 +-
front-end/src/components/layout/Sidebar/__tests__/HelpMenu.spec.js | 94 ++++++
front-end/src/components/layout/Sidebar/__tests__/__snapshots__/Sidebar.spec.js.snap | 4 +-
front-end/src/components/layout/Sidebar/__tests__/useAiReportsSidebarButton.spec.js | 204 ++++++++++++
front-end/src/components/layout/Sidebar/useAiReportsSidebarButton.js | 49 +++
front-end/src/main.js | 1 +
front-end/src/store/modules/TeamInsights/util.js | 1 +
front-end/src/store/modules/platform/__tests__/getters.spec.js | 22 ++
front-end/src/store/modules/platform/getters.js | 3 +
front-end/src/utils/index.js | 11 +
front-end/yarn.lock | 21 +-
phpstan-baseline.neon | 60 ----
public/pdf/exec-reports/com/coaching-profiles.pdf | Bin 0 -> 1531178 bytes
public/pdf/exec-reports/com/exec-summary.pdf | Bin 0 -> 2237381 bytes
public/pdf/exec-reports/com/loss-report.pdf | Bin 0 -> 1955343 bytes
public/pdf/exec-reports/com/product-feedback.pdf | Bin 0 -> 2184417 bytes
public/pdf/exec-reports/eu/coaching-profiles.pdf | Bin 0 -> 1528704 bytes
public/pdf/exec-reports/eu/exec-summary.pdf | Bin 0 -> 2296741 bytes
public/pdf/exec-reports/eu/loss-report.pdf | Bin 0 -> 1955808 bytes
public/pdf/exec-reports/eu/product-feedback.pdf | Bin 0 -> 2184083 bytes
resources/views/emails/reports/ask-jiminny-report-expiring.blade.php | 22 ++
resources/views/emails/reports/report-not-generated.blade.php | 24 ++
resources/views/partials/crm/push-summary/html-assembly.blade.php | 2 +-
routes/api.php | 6 +
routes/web.php | 4 +
tests/Feature/Policies/UserPolicyTest.php | 90 ++++-
tests/Unit/Component/ActivityAnalytics/Service/ActivityAnalyticsServiceTest.php | 40 +++
tests/Unit/Component/AskAnything/AskAnythingPromptServiceTest.php | 26 ++
tests/Unit/Component/Transcription/Job/FinishTranscriptionJobTest.php | 276 ++++++++++++++++
tests/Unit/Component/Transcription/TranscriptionProcessor/Gong/GongTest.php | 375 +++++++++++++++++++++
tests/Unit/Component/Twilio/Service/SoftPhoneServiceTest.php | 1014 +++++++++++++++++++++++++++++++++++++++++++++++++++++++--
tests/Unit/Console/Commands/Reports/AutomatedReportsCommandTest.php | 157 ++++++++-
tests/Unit/Events/Activities/Audio/RecordingEventTest.php | 72 ++++
tests/Unit/Events/Activities/Softphone/EndedTest.php | 86 +++++
tests/Unit/Events/Activities/Softphone/SoftphoneEventTest.php | 88 +++++
tests/Unit/Events/Activities/Softphone/StartedTest.php | 86 +++++
tests/Unit/Http/Controllers/Kiosk/AutomatedReportsControllerTest.php | 99 ++++++
tests/Unit/Http/Transformers/ActivityTransformerTest.php | 5 +-
tests/Unit/Http/Transformers/PartnerTransformerTest.php | 34 ++
tests/Unit/Interactions/Settings/Teams/CreateTeamTest.php | 49 +++
tests/Unit/Jobs/AutomatedReports/RequestGenerateAskJiminnyReportJobTest.php | 106 +++++-
tests/Unit/Jobs/AutomatedReports/SendReportExpiringSoonMailJobTest.php | 205 ++++++++++++
tests/Unit/Jobs/AutomatedReports/SendReportNotGeneratedMailJobTest.php | 188 +++++++++++
tests/Unit/Jobs/Crm/ImportOpportunityBatchTest.php | 2 +-
tests/Unit/Jobs/Team/SyncToIntercomTest.php | 6 +
tests/Unit/Listeners/Teams/SyncIntercomCompanyTest.php | 59 ++++
tests/Unit/Listeners/Teams/UpdateSalesforceAccountTest.php | 11 +-
tests/Unit/Listeners/Users/SyncIntercomTest.php | 59 ++++
tests/Unit/Mail/Reports/ReportNotGeneratedTest.php | 166 ++++++++++
tests/Unit/Models/PartnerTest.php | 28 ++
tests/Unit/Repositories/AutomatedReportsRepositoryTest.php | 68 ++++
tests/Unit/Services/Activity/MeetingBotServiceRequestRecordingToStopTest.php | 14 +-
tests/Unit/Services/ActivityServiceTest.php | 391 ++++++++++++++++++++++
tests/Unit/Services/Crm/Hubspot/ServiceResponseNormalizeTest.php | 68 ++--
tests/Unit/Services/Kiosk/AutomatedReports/AskJiminnyReportActivityServiceTest.php | 48 +--
tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceActivitiesCountTest.php | 16 +-
tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceReportGenerationTest.php | 24 +-
tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceTest.php | 130 ++++++++
tests/Unit/Services/KioskServiceTest.php | 8 +
tests/Unit/Services/Webhook/Triggers/AiScorecardCompletedTriggerTest.php | 6 +-
tests/Unit/UseCases/TeamInsights/RecordingOutcomeTextResolverTest.php | 119 +++++++
tests/Unit/UseCases/TeamInsights/StrictConsentColumnResolverTest.php | 108 ++++++
tests/Unit/UseCases/TeamInsights/TeamConversationsExportTest.php | 342 ++++++++++++++-----
186 files changed, 8538 insertions(+), 1233 deletions(-)
create mode 100644 app/Component/Twilio/TwilioRepository.php
delete mode 100644 app/Console/Commands/CoachingFeedbacksUpdateEsActivities.php
create mode 100644 app/Console/Commands/RunAiCallScoringForUntypedActivitiesCommand.php
delete mode 100644 app/Console/Commands/UpdateActivitiesAverageScoreExcludingFeedbacksNotSetVisibleToAll.php
create mode 100644 app/Http/Controllers/Kiosk/PartnersController.php
create mode 100644 app/Jobs/AutomatedReports/SendReportExpiringSoonMailJob.php
create mode 100644 app/Jobs/AutomatedReports/SendReportNotGeneratedMailJob.php
create mode 100644 app/Mail/Reports/AskJiminnyReportExpiringMail.php
create mode 100644 app/Mail/Reports/ReportNotGenerated.php
delete mode 100644 app/Models/ElasticSearch/SharedDocumentDeleteTrait.php
create mode 100644 app/UseCases/TeamInsights/ConversationRowMapper.php
create mode 100644 app/UseCases/TeamInsights/RecordingOutcomeTextResolver.php
create mode 100644 app/UseCases/TeamInsights/StrictConsentColumnResolver.php
create mode 100644 database/migrations/2026_04_14_000000_add_rockeed_partner.php
create mode 100644 database/migrations/2026_04_22_000000_add_success_email_to_partners.php
create mode 100644 database/migrations/2026_04_27_000000_add_label_to_partners.php
create mode 100644 database/migrations/2026_04_29_105053_move_ask_jiminny_reports_to_grow_tier.php
create mode 100644 front-end/src/__mocks__/kit/endpoints/automated-reports-promo.js
create mode 100644 front-end/src/apps/ai-reports-promo.js
create mode 100644 front-end/src/components/AiReports/AiReportsPromo.vue
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/AutomatedReportsPromo.vue
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/PromoCard.vue
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/WhyItMattersCard.vue
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/AutomatedReportsPromo.spec.js
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/__snapshots__/automated-reports-promo.output.html
create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/PanoramaReportsPromo.vue
create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/PanoramaReportsPromo.spec.js
create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/__snapshots__/panorama-reports-promo.output.html
create mode 100644 front-end/src/components/Settings/Kiosk/modals/EditTeamModal/__tests__/EditTeamModal.spec.js
create mode 100644 front-end/src/components/Settings/Kiosk/shared/Navigation/__tests__/Navigation.spec.js
create mode 100644 front-end/src/components/layout/Sidebar/__tests__/HelpMenu.spec.js
create mode 100644 front-end/src/components/layout/Sidebar/__tests__/useAiReportsSidebarButton.spec.js
create mode 100644 front-end/src/components/layout/Sidebar/useAiReportsSidebarButton.js
create mode 100644 front-end/src/store/modules/platform/__tests__/getters.spec.js
create mode 100644 public/pdf/exec-reports/com/coaching-profiles.pdf
create mode 100644 public/pdf/exec-reports/com/exec-summary.pdf
create mode 100644 public/pdf/exec-reports/com/loss-report.pdf
create mode 100644 public/pdf/exec-reports/com/product-feedback.pdf
create mode 100644 public/pdf/exec-reports/eu/coaching-profiles.pdf
create mode 100644 public/pdf/exec-reports/eu/exec-summary.pdf
create mode 100644 public/pdf/exec-reports/eu/loss-report.pdf
create mode 100644 public/pdf/exec-reports/eu/product-feedback.pdf
create mode 100644 resources/views/emails/reports/ask-jiminny-report-expiring.blade.php
create mode 100644 resources/views/emails/reports/report-not-generated.blade.php
create mode 100644 tests/Unit/Component/Transcription/Job/FinishTranscriptionJobTest.php
create mode 100644 tests/Unit/Component/Transcription/TranscriptionProcessor/Gong/GongTest.php
create mode 100644 tests/Unit/Events/Activities/Audio/RecordingEventTest.php
create mode 100644 tests/Unit/Events/Activities/Softphone/EndedTest.php
create mode 100644 tests/Unit/Events/Activities/Softphone/SoftphoneEventTest.php
create mode 100644 tests/Unit/Events/Activities/Softphone/StartedTest.php
create mode 100644 tests/Unit/Http/Transformers/PartnerTransformerTest.php
create mode 100644 tests/Unit/Jobs/AutomatedReports/SendReportExpiringSoonMailJobTest.php
create mode 100644 tests/Unit/Jobs/AutomatedReports/SendReportNotGeneratedMailJobTest.php
create mode 100644 tests/Unit/Listeners/Teams/SyncIntercomCompanyTest.php
create mode 100644 tests/Unit/Listeners/Users/SyncIntercomTest.php
create mode 100644 tests/Unit/Mail/Reports/ReportNotGeneratedTest.php
create mode 100644 tests/Unit/Models/PartnerTest.php
create mode 100644 tests/Unit/Services/ActivityServiceTest.php
create mode 100644 tests/Unit/UseCases/TeamInsights/RecordingOutcomeTextResolverTest.php
create mode 100644 tests/Unit/UseCases/TeamInsights/StrictConsentColumnResolverTest.php
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 628, done.
remote: Counting objects: 100% (331/331), done.
remote: Compressing objects: 100% (63/63), done.
remote: Total 628 (delta 280), reused 274 (delta 266), pack-reused 297 (from 1)
Receiving objects: 100% (628/628), 186.75 KiB | 1.23 MiB/s, done.
Resolving deltas: 100% (391/391), completed with 57 local objects.
From github.com:jiminny/app
ad2ce76737..12295204cf master -> origin/master
14f54b5be2..5e7646e5f9 JY-17836-participant-speeches-in-s3 -> origin/JY-17836-participant-speeches-in-s3
b167b19973..acba55cf38 JY-20289-api-tests -> origin/JY-20289-api-tests
f23cfee7c3..e5a3ec5dba JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null -> origin/JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null
af59d60926..766efba1c5 JY-20395-fix-memory-issue-with-mail-import -> origin/JY-20395-fix-memory-issue-with-mail-import
* [new branch] JY-20493-smart-instant-nudge-pre-filtering -> origin/JY-20493-smart-instant-nudge-pre-filtering
1737b7c528..c57e71e763 JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
* [new branch] JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech
+ ba181441c6...20a74137b0 JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)
* [new branch] JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue
* [new branch] JY-20816-calendar-events-diplication -> origin/JY-20816-calendar-events-diplication
* [new branch] desktop-app -> origin/desktop-app
4c4c974e46..185442c26e make-claude-great-again -> origin/make-claude-great-again
* [new branch] mcp-tools-schemas -> origin/mcp-tools-schemas
Updating ad2ce76737..12295204cf
Fast-forward
app/Component/Encoding/Job/AnalyzeTrackChannelsJob.php | 2 +-
app/Component/Transcription/TranscriptionProcessor/AssemblyAI/Services/SubmitAudioFileService.php | 66 ++----------------------------------------------------------------
app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 24 +++++++++++++++++-------
tests/Unit/Console/Commands/Tracks/CleanupActivityTracksCommandTest.php | 40 +++++++++++++++++++++++++++++-----------
tests/Unit/fixtures/assembly_ai_transcript_response.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_channel_diarization.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_language.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_language_error.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_language_not_ready.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_language_post.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_without_utterances.json | 1 -
11 files changed, 49 insertions(+), 90 deletions(-)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20818-move-AJ-reports-to-separated-datadog-metric
Switched to a new branch 'JY-20818-move-AJ-reports-to-separated-datadog-metric'
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ csfix
docker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff
PHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.
PHP runtime: 8.3.30
Running analysis on 7 cores with 10 files per process.
Parallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!
Loaded config default from ".php-cs-fixer.dist.php".
5663/5663 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%
Fixed 0 of 5663 files in 83.615 seconds, 67.00 MB memory used
What's next:
Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1
Learn more at [URL_WITH_CREDENTIALS] ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ csfix
docker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff
PHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.
PHP runtime: 8.3.30
Running analysis on 7 cores with 10 files per process.
Parallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!
Loaded config default from ".php-cs-fixer.dist.php".
5663/5663 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%
Fixed 0 of 5663 files in 42.875 seconds, 60.00 MB memory used
What's next:
Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1
Learn more at [URL_WITH_CREDENTIALS] ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 15, done.
remote: Counting objects: 100% (15/15), done.
remote: Compressing objects: 100% (2/2), done.
remote: Total 15 (delta 13), reused 15 (delta 13), pack-reused 0 (from 0)
Unpacking objects: 100% (15/15), 1.28 KiB | 72.00 KiB/s, done.
From github.com:jiminny/app
c57e71e763..8743fea32e JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
* [new branch] JY-20819-increase-download-transctip-rate-limit -> origin/JY-20819-increase-download-transctip-rate-limit
Already up to date.
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 180, done.
remote: Counting objects: 100% (179/179), done.
remote: Compressing objects: 100% (55/55), done.
remote: Total 180 (delta 127), reused 165 (delta 119), pack-reused 1 (from 1)
Receiving objects: 100% (180/180), 57.50 KiB | 2.74 MiB/s, done.
Resolving deltas: 100% (127/127), completed with 47 local objects.
From github.com:jiminny/app
12295204cf..35f036ace6 master -> origin/master
* [new branch] JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5
5f21965da8..497fbc85c2 JY-20493-smart-instant-nudge-pre-filtering -> origin/JY-20493-smart-instant-nudge-pre-filtering
f029263118..6ed9e2bb13 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue
* [new branch] JY-20817-fix-deleting-s3-directories -> origin/JY-20817-fix-deleting-s3-directories
* [new branch] JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration
+ ca92730ec5...2c8a1d0856 desktop-app -> origin/desktop-app (forced update)
8425d4e0de..89b45ec8b0 mcp-tools-schemas -> origin/mcp-tools-schemas
Updating 12295204cf..35f036ace6
Fast-forward
app/Component/Datadog/Constants.php | 1 +
app/Providers/RouteServiceProvider.php | 2 +-
app/Services/Kiosk/AutomatedReports/AutomatedReportsCallbackService.php | 13 +++++++++++++
tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsCallbackServiceTest.php | 54 +++++++++++++++++++++++++++++++++++++++++++++++-------
4 files changed, 62 insertions(+), 8 deletions(-)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ gbr
* master
JY-20818-move-AJ-reports-to-separated-datadog-metric
JY-20773-fix-automated-reports-user-pilot-tracking
JY-20157-AJ-report-not-send-notification
JY-20508-notify-before-AJ-report-expiration
JY-20372-ai-reports-promotion-pages
JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null
JY-20738-debug-AJ-tracking-UP
a
JY-18909-automated-reports-ask-jiminny
JY-20692-fix-integration-app-[API_KEY]
JY-20553-debug-crm-sync-delays
JY-20698-fix-SF-activity-types-on-new-playbook
JY-20543-AJ-report-tracking
JY-20384-handle-auto-sync-with-no-access-to-event-type
JY-20458-ask-jiminny-user-definitions
JY-19666-fix-import-contacts-account-association
JY-19666-HS-import-contacts-and-accounts-batch-job
JY-20458-Ask-Jiminny-Reports
JY-20200-batch-update-CRM-objects-Salesforce
JY-19666-HS-webhooks-add-contact-and-company
JY-20348-trigger-setup-DI-layout-on-team-creation
JY-20326-refactor-info-message-in-command
JY-20317-fix-auto-log-delay-issue-on-all-channels-disabled
JY-20312-remove-on-update-change-last-synced-at-crm-configurations
JY-20306-SF-skip-auto-sync-for-task-based-playbook
JY-20192-remove-deleted-team-from-saved-search-filters
JY-20197-import-opportunity-batch-job
JY-20293-enable-status-field-for-pipedrive-deals
JY-20191-remove-commands-interactive-prompts
JY-20118-change-default-sync-strategy
JY-20183-add-cache-on-auto-log-delay
JY-20197-add-import-opportunity-batch-job
20118-hs-opportunity-make-webhook-strategy-default
JY-20118-make-default-hs-opportunity-sync-strategy-webhook-based
JY-20196-handle-opportunity-without-note
JY-20118-improve-opportunity-import
JY-20189-handle-activity-search-on-deleted-groups
JY-20160
JY-20145-filter-out-converted-leads-when-matching
JY-20150-skip-push-summary-on-summary-ready-if-autolog
JY-20132-fix-note-encoding
JY-19792-clean-logs
JY-20117-fix-sync-profile-fields-on-empty-fields
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20725-handle-HS-search-rate-limit
Switched to a new branch 'JY-20725-handle-HS-search-rate-limit'
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ ;xd
docker exec -it docker_lamp_1 bash -c "mv /usr/local/etc/php/conf.d/xdebug.ini ~/xdebug.ini"
What's next:
Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1
Learn more at https://docs.docker.com/go/debug-cli/
docker exec -it docker_lamp_1 supervisorctl restart all
jiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: stopped
jiminny-worker-processing-2:jiminny-worker-processing-2_00: stopped
jiminny-worker-processing-3:jiminny-worker-processing-3_00: stopped
jiminny-worker-processing-4:jiminny-worker-processing-4_00: stopped
jiminny-worker-processing-5:jiminny-worker-processing-5_00: stopped
worker-analytics:worker-analytics_00: stopped
worker-crm-update:worker-crm-update_00: stopped
worker-download:worker-download_00: stopped
worker-nudges:worker-nudges_00: stopped
artisan-schedule:artisan-schedule_00: stopped
worker-emails:worker-emails_00: stopped
worker:worker_00: stopped
worker-calendar:worker-calendar_00: stopped
jiminny-worker-processing-1:jiminny-worker-processing-1_00: stopped
worker-crm-sync:worker-crm-sync_00: stopped
worker-audio:worker-audio_00: stopped
worker-conferences:worker-conferences_00: stopped
worker-es-update:worker-es-update_00: stopped
artisan-schedule:artisan-schedule_00: started
jiminny-worker-processing-1:jiminny-worker-processing-1_00: started
jiminny-worker-processing-2:jiminny-worker-processing-2_00: started
jiminny-worker-processing-3:jiminny-worker-processing-3_00: started
jiminny-worker-processing-4:jiminny-worker-processing-4_00: started
jiminny-worker-processing-5:jiminny-worker-processing-5_00: started
jiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: started
worker:worker_00: started
worker-analytics:worker-analytics_00: started
worker-audio:worker-audio_00: started
worker-calendar:worker-calendar_00: started
worker-conferences:worker-conferences_00: started
worker-crm-sync:worker-crm-sync_00: started
worker-crm-update:worker-crm-update_00: started
worker-download:worker-download_00: started
worker-emails:worker-emails_00: started
worker-es-update:worker-es-update_00: started
worker-nudges:worker-nudges_00: started
What's next:
Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1
Learn more at https://docs.docker.com/go/debug-cli/
docker exec -it docker_lamp_1 php -v
PHP 8.3.30 (cli) (built: Mar 16 2026 22:32:32) (NTS)
Copyright (c) The PHP Group
Zend En...
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2026-05-11T17:11:18.142219+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519478142_m1.jpg...
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iTerm2
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APP (-zsh)
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True
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NULL
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monitor_1
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NULL
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NULL
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Last login: Thu May 7 09:44:56 on ttys007
Poetry Last login: Thu May 7 09:44:56 on ttys007
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20773-fix-automated-reports-user-pilot-tracking) $ git status
On branch master
Your branch is up to date with 'origin/master'.
Changes not staged for commit:
(use "git add <file>..." to update what will be committed)
(use "git restore <file>..." to discard changes in working directory)
modified: .env.local
modified: app/Console/Commands/JiminnyDebugCommand.php
modified: app/Jobs/Team/SyncToIntercom.php
modified: app/Services/PlaybackService.php
modified: config/logging.php
modified: resources/views/partials/crm/push-summary/html-assembly.blade.php
Untracked files:
(use "git add <file>..." to include in what will be committed)
.env.nikilocal
.env.other
WEBHOOK_FILTERING_IMPLEMENTATION.md
app/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php
app/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php
ids.txt
public/favicon.ico
raw_sql_query.sql
tests/Unit/Policies/CanAccessAiReportsTest.php
no changes added to commit (use "git add" and/or "git commit -a")
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 1482, done.
remote: Counting objects: 100% (481/481), done.
remote: Compressing objects: 100% (191/191), done.
remote: Total 1482 (delta 349), reused 305 (delta 289), pack-reused 1001 (from 4)
Receiving objects: 100% (1482/1482), 1017.97 KiB | 1.44 MiB/s, done.
Resolving deltas: 100% (877/877), completed with 96 local objects.
From github.com:jiminny/app
83b628967a..ad2ce76737 master -> origin/master
1ee8cbcb7b..14f54b5be2 JY-17836-participant-speeches-in-s3 -> origin/JY-17836-participant-speeches-in-s3
5662c3b32f..b167b19973 JY-20289-api-tests -> origin/JY-20289-api-tests
b40408cfad..f23cfee7c3 JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null -> origin/JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null
* [new branch] JY-20395-fix-memory-issue-with-mail-import -> origin/JY-20395-fix-memory-issue-with-mail-import
* [new branch] JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
* [new branch] JY-20662-remove-word-boost -> origin/JY-20662-remove-word-boost
* [new branch] JY-20742-mcp-poc -> origin/JY-20742-mcp-poc
* [new branch] make-claude-great-again -> origin/make-claude-great-again
* [new branch] secfix/composer-20260507 -> origin/secfix/composer-20260507
* [new branch] secfix/npm-20260507 -> origin/secfix/npm-20260507
Updating 83b628967a..ad2ce76737
error: Your local changes to the following files would be overwritten by merge:
app/Jobs/Team/SyncToIntercom.php
resources/views/partials/crm/push-summary/html-assembly.blade.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 83b628967a..ad2ce76737
error: Your local changes to the following files would be overwritten by merge:
app/Jobs/Team/SyncToIntercom.php
resources/views/partials/crm/push-summary/html-assembly.blade.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 83b628967a..ad2ce76737
error: Your local changes to the following files would be overwritten by merge:
app/Jobs/Team/SyncToIntercom.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 83b628967a..ad2ce76737
Fast-forward
.cursor/rules/frontend-conventions.mdc | 23 ++
.env.production-eu | 2 +-
.env.staging | 2 +-
Makefile | 10 +
app/Component/ActivityAnalytics/Service/ActivityAnalyticsService.php | 6 +-
app/Component/AiAutomation/Repositories/AiTemplateFieldsRepository.php | 32 +-
app/Component/AiCallScoring/Repositories/AiScorecardRepository.php | 56 ++--
app/Component/AskAnything/AskAnythingPromptService.php | 3 +
app/Component/Transcription/Job/FinishTranscriptionJob.php | 37 ++-
app/Component/Transcription/TranscriptionProcessor/Gong/Gong.php | 18 +-
app/Component/Twilio/Conference/ConferenceManager/SoftPhoneManager.php | 4 +-
app/Component/Twilio/Service/SoftPhoneService.php | 124 ++++---
app/Component/Twilio/TwilioRepository.php | 27 ++
app/Console/Commands/CoachingFeedbacksUpdateEsActivities.php | 59 ----
app/Console/Commands/Reports/AutomatedReportsCommand.php | 122 +++++--
app/Console/Commands/RunAiCallScoringForUntypedActivitiesCommand.php | 200 ++++++++++++
app/Console/Commands/UpdateActivitiesAverageScoreExcludingFeedbacksNotSetVisibleToAll.php | 60 ----
app/Console/Commands/Users/SyncToIntercom.php | 4 +-
app/Console/Kernel.php | 3 +-
app/Contracts/ES/Events/UpdateMultipleEntities.php | 4 -
app/Contracts/ES/Events/UpdateSingleEntity.php | 4 -
app/Contracts/Repositories/TeamRepository.php | 3 +-
app/Events/Activities/ActivityUpdated.php | 10 +-
app/Events/Activities/Audio/RecordingEvent.php | 6 +-
app/Events/Activities/Softphone/Ended.php | 8 +-
app/Events/Activities/Softphone/SoftphoneEvent.php | 24 +-
app/Events/Activities/Softphone/Started.php | 8 +-
app/Http/Controllers/API/ActivityController.php | 17 +-
app/Http/Controllers/API/SoftphoneController.php | 9 +-
app/Http/Controllers/API/UserAutomatedReports/UserAutomatedReportsController.php | 19 +-
app/Http/Controllers/API/V2/AskAnythingController.php | 2 +-
app/Http/Controllers/Auth/SocialController.php | 6 +-
app/Http/Controllers/Kiosk/AutomatedReportsController.php | 38 ++-
app/Http/Controllers/Kiosk/OrganizationsController.php | 8 +-
app/Http/Controllers/Kiosk/PartnersController.php | 46 +++
app/Http/Controllers/Kiosk/SearchController.php | 8 +
app/Http/Controllers/Kiosk/Teams/OnboardController.php | 24 +-
app/Http/Controllers/Settings/Teams/IntegrationController.php | 6 +-
app/Http/Controllers/TeamSetupController.php | 4 +-
app/Http/Controllers/Telephony/TextMessaging/MessageController.php | 12 +-
app/Http/Controllers/Telephony/TextMessaging/WebhookController.php | 18 +-
app/Http/Requests/Settings/Teams/CreateTeamRequest.php | 1 +
app/Http/Requests/Settings/Teams/EditTeamRequest.php | 1 +
app/Http/Transformers/ActivityTransformer.php | 4 +-
app/Http/Transformers/OnDemandActivitiesTransformer.php | 2 +-
app/Http/Transformers/PartnerTransformer.php | 1 +
app/Http/Transformers/StageTransformer.php | 6 +-
app/Http/Transformers/UserTransformer.php | 11 +-
app/Interactions/Settings/Teams/CreateTeam.php | 3 +
app/Jobs/AutomatedReports/RequestGenerateAskJiminnyReportJob.php | 80 ++++-
app/Jobs/AutomatedReports/SendReportExpiringSoonMailJob.php | 119 +++++++
app/Jobs/AutomatedReports/SendReportNotGeneratedMailJob.php | 89 +++++
app/Jobs/Crm/Hubspot/ImportBatchJobTrait.php | 12 +-
app/Jobs/Crm/UpdateStage.php | 3 +
app/Jobs/Team/SyncToIntercom.php | 7 +-
app/Listeners/Teams/SyncIntercomCompany.php | 5 +-
app/Listeners/Teams/UpdateSalesforceAccount.php | 8 +-
app/Listeners/Users/SyncIntercom.php | 5 +-
app/Mail/Reports/AskJiminnyReportExpiringMail.php | 40 +++
app/Mail/Reports/ReportNotGenerated.php | 41 +++
app/Models/Activity.php | 25 +-
app/Models/Activity/Question.php | 14 +-
app/Models/Activity/Search.php | 7 +
app/Models/AskAnything/AskAnythingPrompt.php | 6 +
app/Models/AutomatedReport.php | 10 +
app/Models/CoachingFeedback.php | 44 ++-
app/Models/ElasticSearch/ActivityElasticSearchTrait.php | 86 +----
app/Models/ElasticSearch/OpportunityElasticSearchTrait.php | 71 ----
app/Models/ElasticSearch/SharedDocumentDeleteTrait.php | 27 --
app/Models/Partner.php | 13 +
app/Models/Playlist/Activity.php | 14 +-
app/Notifications/OwnerInvitedToTrial.php | 14 +-
app/Policies/UserPolicy.php | 16 +-
app/Queue/Worker/Worker.php | 3 +-
app/Repositories/ActivityRepository.php | 13 +-
app/Repositories/AutomatedReportsRepository.php | 42 ++-
app/Repositories/TeamRepository.php | 21 +-
app/Repositories/UserRepository.php | 2 +-
app/Services/Activity/MeetingBotService.php | 8 +-
app/Services/ActivityService.php | 111 ++-----
app/Services/Crm/Hubspot/Service.php | 36 +-
app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 2 +-
app/Services/Kiosk/AutomatedReports/AskJiminnyReportActivityService.php | 5 +-
app/Services/Kiosk/AutomatedReports/AutomatedReportsService.php | 49 +--
app/Services/Kiosk/KioskService.php | 7 +-
app/Services/Webhook/Triggers/AiScorecardCompletedTrigger.php | 13 +-
app/UseCases/TeamInsights/ConversationRowMapper.php | 78 +++++
app/UseCases/TeamInsights/RecordingOutcomeTextResolver.php | 68 ++++
app/UseCases/TeamInsights/StrictConsentColumnResolver.php | 45 +++
app/UseCases/TeamInsights/TeamConversationsExport.php | 154 ++++-----
composer.json | 1 -
composer.lock | 95 +-----
config/secure-headers.php | 5 +-
database/mappings/mapping_activities.json | 16 +
database/migrations/2026_04_14_000000_add_rockeed_partner.php | 51 +++
database/migrations/2026_04_22_000000_add_success_email_to_partners.php | 26 ++
database/migrations/2026_04_27_000000_add_label_to_partners.php | 28 ++
database/migrations/2026_04_29_105053_move_ask_jiminny_reports_to_grow_tier.php | 79 +++++
front-end/package.json | 5 +-
front-end/src/__mocks__/jiminny.js | 4 +-
front-end/src/__mocks__/kit/endpoints/automated-reports-promo.js | 9 +
front-end/src/__mocks__/setup.js | 1 +
front-end/src/apps/ai-reports-promo.js | 22 ++
front-end/src/components/AiReports/AiReportsPromo.vue | 22 ++
front-end/src/components/AiReports/AutomatedReportsPromo/AutomatedReportsPromo.vue | 190 +++++++++++
front-end/src/components/AiReports/AutomatedReportsPromo/PromoCard.vue | 111 +++++++
front-end/src/components/AiReports/AutomatedReportsPromo/WhyItMattersCard.vue | 103 ++++++
front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/AutomatedReportsPromo.spec.js | 98 ++++++
.../src/components/AiReports/AutomatedReportsPromo/__tests__/__snapshots__/automated-reports-promo.output.html | 283 ++++++++++++++++
front-end/src/components/AiReports/Manage/ManageAiReports.vue | 8 +-
front-end/src/components/AiReports/PanoramaReportsPromo/PanoramaReportsPromo.vue | 228 +++++++++++++
front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/PanoramaReportsPromo.spec.js | 71 ++++
.../src/components/AiReports/PanoramaReportsPromo/__tests__/__snapshots__/panorama-reports-promo.output.html | 217 ++++++++++++
front-end/src/components/AiReports/constants.js | 7 +
front-end/src/components/Settings/Kiosk/OrganizationSearch/Organizations.vue | 1 +
front-end/src/components/Settings/Kiosk/__mocks__/Jiminny.js | 1 +
front-end/src/components/Settings/Kiosk/modals/EditTeamModal/EditTeamModal.vue | 43 ++-
front-end/src/components/Settings/Kiosk/modals/EditTeamModal/__tests__/EditTeamModal.spec.js | 203 ++++++++++++
front-end/src/components/Settings/Kiosk/shared/Navigation/Navigation.vue | 3 +
front-end/src/components/Settings/Kiosk/shared/Navigation/__tests__/Navigation.spec.js | 67 ++++
front-end/src/components/TeamInsights/CoachingFrameworks/AICallScoring/aiCallScoringOverTime.ts | 4 +-
front-end/src/components/TeamInsights/CoachingFrameworks/UsersList.vue | 2 +-
front-end/src/components/layout/Sidebar/HelpMenu.vue | 25 +-
front-end/src/components/layout/Sidebar/Sidebar.vue | 27 +-
front-end/src/components/layout/Sidebar/__tests__/HelpMenu.spec.js | 94 ++++++
front-end/src/components/layout/Sidebar/__tests__/__snapshots__/Sidebar.spec.js.snap | 4 +-
front-end/src/components/layout/Sidebar/__tests__/useAiReportsSidebarButton.spec.js | 204 ++++++++++++
front-end/src/components/layout/Sidebar/useAiReportsSidebarButton.js | 49 +++
front-end/src/main.js | 1 +
front-end/src/store/modules/TeamInsights/util.js | 1 +
front-end/src/store/modules/platform/__tests__/getters.spec.js | 22 ++
front-end/src/store/modules/platform/getters.js | 3 +
front-end/src/utils/index.js | 11 +
front-end/yarn.lock | 21 +-
phpstan-baseline.neon | 60 ----
public/pdf/exec-reports/com/coaching-profiles.pdf | Bin 0 -> 1531178 bytes
public/pdf/exec-reports/com/exec-summary.pdf | Bin 0 -> 2237381 bytes
public/pdf/exec-reports/com/loss-report.pdf | Bin 0 -> 1955343 bytes
public/pdf/exec-reports/com/product-feedback.pdf | Bin 0 -> 2184417 bytes
public/pdf/exec-reports/eu/coaching-profiles.pdf | Bin 0 -> 1528704 bytes
public/pdf/exec-reports/eu/exec-summary.pdf | Bin 0 -> 2296741 bytes
public/pdf/exec-reports/eu/loss-report.pdf | Bin 0 -> 1955808 bytes
public/pdf/exec-reports/eu/product-feedback.pdf | Bin 0 -> 2184083 bytes
resources/views/emails/reports/ask-jiminny-report-expiring.blade.php | 22 ++
resources/views/emails/reports/report-not-generated.blade.php | 24 ++
resources/views/partials/crm/push-summary/html-assembly.blade.php | 2 +-
routes/api.php | 6 +
routes/web.php | 4 +
tests/Feature/Policies/UserPolicyTest.php | 90 ++++-
tests/Unit/Component/ActivityAnalytics/Service/ActivityAnalyticsServiceTest.php | 40 +++
tests/Unit/Component/AskAnything/AskAnythingPromptServiceTest.php | 26 ++
tests/Unit/Component/Transcription/Job/FinishTranscriptionJobTest.php | 276 ++++++++++++++++
tests/Unit/Component/Transcription/TranscriptionProcessor/Gong/GongTest.php | 375 +++++++++++++++++++++
tests/Unit/Component/Twilio/Service/SoftPhoneServiceTest.php | 1014 +++++++++++++++++++++++++++++++++++++++++++++++++++++++--
tests/Unit/Console/Commands/Reports/AutomatedReportsCommandTest.php | 157 ++++++++-
tests/Unit/Events/Activities/Audio/RecordingEventTest.php | 72 ++++
tests/Unit/Events/Activities/Softphone/EndedTest.php | 86 +++++
tests/Unit/Events/Activities/Softphone/SoftphoneEventTest.php | 88 +++++
tests/Unit/Events/Activities/Softphone/StartedTest.php | 86 +++++
tests/Unit/Http/Controllers/Kiosk/AutomatedReportsControllerTest.php | 99 ++++++
tests/Unit/Http/Transformers/ActivityTransformerTest.php | 5 +-
tests/Unit/Http/Transformers/PartnerTransformerTest.php | 34 ++
tests/Unit/Interactions/Settings/Teams/CreateTeamTest.php | 49 +++
tests/Unit/Jobs/AutomatedReports/RequestGenerateAskJiminnyReportJobTest.php | 106 +++++-
tests/Unit/Jobs/AutomatedReports/SendReportExpiringSoonMailJobTest.php | 205 ++++++++++++
tests/Unit/Jobs/AutomatedReports/SendReportNotGeneratedMailJobTest.php | 188 +++++++++++
tests/Unit/Jobs/Crm/ImportOpportunityBatchTest.php | 2 +-
tests/Unit/Jobs/Team/SyncToIntercomTest.php | 6 +
tests/Unit/Listeners/Teams/SyncIntercomCompanyTest.php | 59 ++++
tests/Unit/Listeners/Teams/UpdateSalesforceAccountTest.php | 11 +-
tests/Unit/Listeners/Users/SyncIntercomTest.php | 59 ++++
tests/Unit/Mail/Reports/ReportNotGeneratedTest.php | 166 ++++++++++
tests/Unit/Models/PartnerTest.php | 28 ++
tests/Unit/Repositories/AutomatedReportsRepositoryTest.php | 68 ++++
tests/Unit/Services/Activity/MeetingBotServiceRequestRecordingToStopTest.php | 14 +-
tests/Unit/Services/ActivityServiceTest.php | 391 ++++++++++++++++++++++
tests/Unit/Services/Crm/Hubspot/ServiceResponseNormalizeTest.php | 68 ++--
tests/Unit/Services/Kiosk/AutomatedReports/AskJiminnyReportActivityServiceTest.php | 48 +--
tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceActivitiesCountTest.php | 16 +-
tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceReportGenerationTest.php | 24 +-
tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceTest.php | 130 ++++++++
tests/Unit/Services/KioskServiceTest.php | 8 +
tests/Unit/Services/Webhook/Triggers/AiScorecardCompletedTriggerTest.php | 6 +-
tests/Unit/UseCases/TeamInsights/RecordingOutcomeTextResolverTest.php | 119 +++++++
tests/Unit/UseCases/TeamInsights/StrictConsentColumnResolverTest.php | 108 ++++++
tests/Unit/UseCases/TeamInsights/TeamConversationsExportTest.php | 342 ++++++++++++++-----
186 files changed, 8538 insertions(+), 1233 deletions(-)
create mode 100644 app/Component/Twilio/TwilioRepository.php
delete mode 100644 app/Console/Commands/CoachingFeedbacksUpdateEsActivities.php
create mode 100644 app/Console/Commands/RunAiCallScoringForUntypedActivitiesCommand.php
delete mode 100644 app/Console/Commands/UpdateActivitiesAverageScoreExcludingFeedbacksNotSetVisibleToAll.php
create mode 100644 app/Http/Controllers/Kiosk/PartnersController.php
create mode 100644 app/Jobs/AutomatedReports/SendReportExpiringSoonMailJob.php
create mode 100644 app/Jobs/AutomatedReports/SendReportNotGeneratedMailJob.php
create mode 100644 app/Mail/Reports/AskJiminnyReportExpiringMail.php
create mode 100644 app/Mail/Reports/ReportNotGenerated.php
delete mode 100644 app/Models/ElasticSearch/SharedDocumentDeleteTrait.php
create mode 100644 app/UseCases/TeamInsights/ConversationRowMapper.php
create mode 100644 app/UseCases/TeamInsights/RecordingOutcomeTextResolver.php
create mode 100644 app/UseCases/TeamInsights/StrictConsentColumnResolver.php
create mode 100644 database/migrations/2026_04_14_000000_add_rockeed_partner.php
create mode 100644 database/migrations/2026_04_22_000000_add_success_email_to_partners.php
create mode 100644 database/migrations/2026_04_27_000000_add_label_to_partners.php
create mode 100644 database/migrations/2026_04_29_105053_move_ask_jiminny_reports_to_grow_tier.php
create mode 100644 front-end/src/__mocks__/kit/endpoints/automated-reports-promo.js
create mode 100644 front-end/src/apps/ai-reports-promo.js
create mode 100644 front-end/src/components/AiReports/AiReportsPromo.vue
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/AutomatedReportsPromo.vue
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/PromoCard.vue
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/WhyItMattersCard.vue
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/AutomatedReportsPromo.spec.js
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/__snapshots__/automated-reports-promo.output.html
create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/PanoramaReportsPromo.vue
create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/PanoramaReportsPromo.spec.js
create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/__snapshots__/panorama-reports-promo.output.html
create mode 100644 front-end/src/components/Settings/Kiosk/modals/EditTeamModal/__tests__/EditTeamModal.spec.js
create mode 100644 front-end/src/components/Settings/Kiosk/shared/Navigation/__tests__/Navigation.spec.js
create mode 100644 front-end/src/components/layout/Sidebar/__tests__/HelpMenu.spec.js
create mode 100644 front-end/src/components/layout/Sidebar/__tests__/useAiReportsSidebarButton.spec.js
create mode 100644 front-end/src/components/layout/Sidebar/useAiReportsSidebarButton.js
create mode 100644 front-end/src/store/modules/platform/__tests__/getters.spec.js
create mode 100644 public/pdf/exec-reports/com/coaching-profiles.pdf
create mode 100644 public/pdf/exec-reports/com/exec-summary.pdf
create mode 100644 public/pdf/exec-reports/com/loss-report.pdf
create mode 100644 public/pdf/exec-reports/com/product-feedback.pdf
create mode 100644 public/pdf/exec-reports/eu/coaching-profiles.pdf
create mode 100644 public/pdf/exec-reports/eu/exec-summary.pdf
create mode 100644 public/pdf/exec-reports/eu/loss-report.pdf
create mode 100644 public/pdf/exec-reports/eu/product-feedback.pdf
create mode 100644 resources/views/emails/reports/ask-jiminny-report-expiring.blade.php
create mode 100644 resources/views/emails/reports/report-not-generated.blade.php
create mode 100644 tests/Unit/Component/Transcription/Job/FinishTranscriptionJobTest.php
create mode 100644 tests/Unit/Component/Transcription/TranscriptionProcessor/Gong/GongTest.php
create mode 100644 tests/Unit/Events/Activities/Audio/RecordingEventTest.php
create mode 100644 tests/Unit/Events/Activities/Softphone/EndedTest.php
create mode 100644 tests/Unit/Events/Activities/Softphone/SoftphoneEventTest.php
create mode 100644 tests/Unit/Events/Activities/Softphone/StartedTest.php
create mode 100644 tests/Unit/Http/Transformers/PartnerTransformerTest.php
create mode 100644 tests/Unit/Jobs/AutomatedReports/SendReportExpiringSoonMailJobTest.php
create mode 100644 tests/Unit/Jobs/AutomatedReports/SendReportNotGeneratedMailJobTest.php
create mode 100644 tests/Unit/Listeners/Teams/SyncIntercomCompanyTest.php
create mode 100644 tests/Unit/Listeners/Users/SyncIntercomTest.php
create mode 100644 tests/Unit/Mail/Reports/ReportNotGeneratedTest.php
create mode 100644 tests/Unit/Models/PartnerTest.php
create mode 100644 tests/Unit/Services/ActivityServiceTest.php
create mode 100644 tests/Unit/UseCases/TeamInsights/RecordingOutcomeTextResolverTest.php
create mode 100644 tests/Unit/UseCases/TeamInsights/StrictConsentColumnResolverTest.php
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 628, done.
remote: Counting objects: 100% (331/331), done.
remote: Compressing objects: 100% (63/63), done.
remote: Total 628 (delta 280), reused 274 (delta 266), pack-reused 297 (from 1)
Receiving objects: 100% (628/628), 186.75 KiB | 1.23 MiB/s, done.
Resolving deltas: 100% (391/391), completed with 57 local objects.
From github.com:jiminny/app
ad2ce76737..12295204cf master -> origin/master
14f54b5be2..5e7646e5f9 JY-17836-participant-speeches-in-s3 -> origin/JY-17836-participant-speeches-in-s3
b167b19973..acba55cf38 JY-20289-api-tests -> origin/JY-20289-api-tests
f23cfee7c3..e5a3ec5dba JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null -> origin/JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null
af59d60926..766efba1c5 JY-20395-fix-memory-issue-with-mail-import -> origin/JY-20395-fix-memory-issue-with-mail-import
* [new branch] JY-20493-smart-instant-nudge-pre-filtering -> origin/JY-20493-smart-instant-nudge-pre-filtering
1737b7c528..c57e71e763 JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
* [new branch] JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech
+ ba181441c6...20a74137b0 JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)
* [new branch] JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue
* [new branch] JY-20816-calendar-events-diplication -> origin/JY-20816-calendar-events-diplication
* [new branch] desktop-app -> origin/desktop-app
4c4c974e46..185442c26e make-claude-great-again -> origin/make-claude-great-again
* [new branch] mcp-tools-schemas -> origin/mcp-tools-schemas
Updating ad2ce76737..12295204cf
Fast-forward
app/Component/Encoding/Job/AnalyzeTrackChannelsJob.php | 2 +-
app/Component/Transcription/TranscriptionProcessor/AssemblyAI/Services/SubmitAudioFileService.php | 66 ++----------------------------------------------------------------
app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 24 +++++++++++++++++-------
tests/Unit/Console/Commands/Tracks/CleanupActivityTracksCommandTest.php | 40 +++++++++++++++++++++++++++++-----------
tests/Unit/fixtures/assembly_ai_transcript_response.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_channel_diarization.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_language.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_language_error.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_language_not_ready.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_language_post.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_without_utterances.json | 1 -
11 files changed, 49 insertions(+), 90 deletions(-)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20818-move-AJ-reports-to-separated-datadog-metric
Switched to a new branch 'JY-20818-move-AJ-reports-to-separated-datadog-metric'
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ csfix
docker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff
PHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.
PHP runtime: 8.3.30
Running analysis on 7 cores with 10 files per process.
Parallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!
Loaded config default from ".php-cs-fixer.dist.php".
5663/5663 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%
Fixed 0 of 5663 files in 83.615 seconds, 67.00 MB memory used
What's next:
Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1
Learn more at [URL_WITH_CREDENTIALS] ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ csfix
docker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff
PHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.
PHP runtime: 8.3.30
Running analysis on 7 cores with 10 files per process.
Parallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!
Loaded config default from ".php-cs-fixer.dist.php".
5663/5663 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%
Fixed 0 of 5663 files in 42.875 seconds, 60.00 MB memory used
What's next:
Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1
Learn more at [URL_WITH_CREDENTIALS] ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 15, done.
remote: Counting objects: 100% (15/15), done.
remote: Compressing objects: 100% (2/2), done.
remote: Total 15 (delta 13), reused 15 (delta 13), pack-reused 0 (from 0)
Unpacking objects: 100% (15/15), 1.28 KiB | 72.00 KiB/s, done.
From github.com:jiminny/app
c57e71e763..8743fea32e JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
* [new branch] JY-20819-increase-download-transctip-rate-limit -> origin/JY-20819-increase-download-transctip-rate-limit
Already up to date.
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 180, done.
remote: Counting objects: 100% (179/179), done.
remote: Compressing objects: 100% (55/55), done.
remote: Total 180 (delta 127), reused 165 (delta 119), pack-reused 1 (from 1)
Receiving objects: 100% (180/180), 57.50 KiB | 2.74 MiB/s, done.
Resolving deltas: 100% (127/127), completed with 47 local objects.
From github.com:jiminny/app
12295204cf..35f036ace6 master -> origin/master
* [new branch] JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5
5f21965da8..497fbc85c2 JY-20493-smart-instant-nudge-pre-filtering -> origin/JY-20493-smart-instant-nudge-pre-filtering
f029263118..6ed9e2bb13 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue
* [new branch] JY-20817-fix-deleting-s3-directories -> origin/JY-20817-fix-deleting-s3-directories
* [new branch] JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration
+ ca92730ec5...2c8a1d0856 desktop-app -> origin/desktop-app (forced update)
8425d4e0de..89b45ec8b0 mcp-tools-schemas -> origin/mcp-tools-schemas
Updating 12295204cf..35f036ace6
Fast-forward
app/Component/Datadog/Constants.php | 1 +
app/Providers/RouteServiceProvider.php | 2 +-
app/Services/Kiosk/AutomatedReports/AutomatedReportsCallbackService.php | 13 +++++++++++++
tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsCallbackServiceTest.php | 54 +++++++++++++++++++++++++++++++++++++++++++++++-------
4 files changed, 62 insertions(+), 8 deletions(-)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ gbr
* master
JY-20818-move-AJ-reports-to-separated-datadog-metric
JY-20773-fix-automated-reports-user-pilot-tracking
JY-20157-AJ-report-not-send-notification
JY-20508-notify-before-AJ-report-expiration
JY-20372-ai-reports-promotion-pages
JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null
JY-20738-debug-AJ-tracking-UP
a
JY-18909-automated-reports-ask-jiminny
JY-20692-fix-integration-app-[API_KEY]
JY-20553-debug-crm-sync-delays
JY-20698-fix-SF-activity-types-on-new-playbook
JY-20543-AJ-report-tracking
JY-20384-handle-auto-sync-with-no-access-to-event-type
JY-20458-ask-jiminny-user-definitions
JY-19666-fix-import-contacts-account-association
JY-19666-HS-import-contacts-and-accounts-batch-job
JY-20458-Ask-Jiminny-Reports
JY-20200-batch-update-CRM-objects-Salesforce
JY-19666-HS-webhooks-add-contact-and-company
JY-20348-trigger-setup-DI-layout-on-team-creation
JY-20326-refactor-info-message-in-command
JY-20317-fix-auto-log-delay-issue-on-all-channels-disabled
JY-20312-remove-on-update-change-last-synced-at-crm-configurations
JY-20306-SF-skip-auto-sync-for-task-based-playbook
JY-20192-remove-deleted-team-from-saved-search-filters
JY-20197-import-opportunity-batch-job
JY-20293-enable-status-field-for-pipedrive-deals
JY-20191-remove-commands-interactive-prompts
JY-20118-change-default-sync-strategy
JY-20183-add-cache-on-auto-log-delay
JY-20197-add-import-opportunity-batch-job
20118-hs-opportunity-make-webhook-strategy-default
JY-20118-make-default-hs-opportunity-sync-strategy-webhook-based
JY-20196-handle-opportunity-without-note
JY-20118-improve-opportunity-import
JY-20189-handle-activity-search-on-deleted-groups
JY-20160
JY-20145-filter-out-converted-leads-when-matching
JY-20150-skip-push-summary-on-summary-ready-if-autolog
JY-20132-fix-note-encoding
JY-19792-clean-logs
JY-20117-fix-sync-profile-fields-on-empty-fields
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20725-handle-HS-search-rate-limit
Switched to a new branch 'JY-20725-handle-HS-search-rate-limit'
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ ;xd
docker exec -it docker_lamp_1 bash -c "mv /usr/local/etc/php/conf.d/xdebug.ini ~/xdebug.ini"
What's next:
Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1
Learn more at https://docs.docker.com/go/debug-cli/
docker exec -it docker_lamp_1 supervisorctl restart all
jiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: stopped
jiminny-worker-processing-2:jiminny-worker-processing-2_00: stopped
jiminny-worker-processing-3:jiminny-worker-processing-3_00: stopped
jiminny-worker-processing-4:jiminny-worker-processing-4_00: stopped
jiminny-worker-processing-5:jiminny-worker-processing-5_00: stopped
worker-analytics:worker-analytics_00: stopped
worker-crm-update:worker-crm-update_00: stopped
worker-download:worker-download_00: stopped
worker-nudges:worker-nudges_00: stopped
artisan-schedule:artisan-schedule_00: stopped
worker-emails:worker-emails_00: stopped
worker:worker_00: stopped
worker-calendar:worker-calendar_00: stopped
jiminny-worker-processing-1:jiminny-worker-processing-1_00: stopped
worker-crm-sync:worker-crm-sync_00: stopped
worker-audio:worker-audio_00: stopped
worker-conferences:worker-conferences_00: stopped
worker-es-update:worker-es-update_00: stopped
artisan-schedule:artisan-schedule_00: started
jiminny-worker-processing-1:jiminny-worker-processing-1_00: started
jiminny-worker-processing-2:jiminny-worker-processing-2_00: started
jiminny-worker-processing-3:jiminny-worker-processing-3_00: started
jiminny-worker-processing-4:jiminny-worker-processing-4_00: started
jiminny-worker-processing-5:jiminny-worker-processing-5_00: started
jiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: started
worker:worker_00: started
worker-analytics:worker-analytics_00: started
worker-audio:worker-audio_00: started
worker-calendar:worker-calendar_00: started
worker-conferences:worker-conferences_00: started
worker-crm-sync:worker-crm-sync_00: started
worker-crm-update:worker-crm-update_00: started
worker-download:worker-download_00: started
worker-emails:worker-emails_00: started
worker-es-update:worker-es-update_00: started
worker-nudges:worker-nudges_00: started
What's next:
Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1
Learn more at https://docs.docker.com/go/debug-cli/
docker exec -it docker_lamp_1 php -v
PHP 8.3.30 (cli) (built: Mar 16 2026 22:32:32) (NTS)
Copyright (c) The PHP Group
Zend En...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"Last login: Thu May 7 09:44:56 on ttys007\n\nPoetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20773-fix-automated-reports-user-pilot-tracking) $ git status\nOn branch master\nYour branch is up to date with 'origin/master'.\n\nChanges not staged for commit:\n (use \"git add <file>...\" to update what will be committed)\n (use \"git restore <file>...\" to discard changes in working directory)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: .env.local\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Console/Commands/JiminnyDebugCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Jobs/Team/SyncToIntercom.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Services/PlaybackService.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: config/logging.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: resources/views/partials/crm/push-summary/html-assembly.blade.php\n\nUntracked files:\n (use \"git add <file>...\" to include in what will be committed)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.nikilocal\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.other\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tWEBHOOK_FILTERING_IMPLEMENTATION.md\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tids.txt\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tpublic/favicon.ico\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\traw_sql_query.sql\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\ttests/Unit/Policies/CanAccessAiReportsTest.php\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 1482, done.\nremote: Counting objects: 100% (481/481), done.\nremote: Compressing objects: 100% (191/191), done.\nremote: Total 1482 (delta 349), reused 305 (delta 289), pack-reused 1001 (from 4)\nReceiving objects: 100% (1482/1482), 1017.97 KiB | 1.44 MiB/s, done.\nResolving deltas: 100% (877/877), completed with 96 local objects.\nFrom github.com:jiminny/app\n 83b628967a..ad2ce76737 master -> origin/master\n 1ee8cbcb7b..14f54b5be2 JY-17836-participant-speeches-in-s3 -> origin/JY-17836-participant-speeches-in-s3\n 5662c3b32f..b167b19973 JY-20289-api-tests -> origin/JY-20289-api-tests\n b40408cfad..f23cfee7c3 JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null -> origin/JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null\n * [new branch] JY-20395-fix-memory-issue-with-mail-import -> origin/JY-20395-fix-memory-issue-with-mail-import\n * [new branch] JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n * [new branch] JY-20662-remove-word-boost -> origin/JY-20662-remove-word-boost\n * [new branch] JY-20742-mcp-poc -> origin/JY-20742-mcp-poc\n * [new branch] make-claude-great-again -> origin/make-claude-great-again\n * [new branch] secfix/composer-20260507 -> origin/secfix/composer-20260507\n * [new branch] secfix/npm-20260507 -> origin/secfix/npm-20260507\nUpdating 83b628967a..ad2ce76737\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Jobs/Team/SyncToIntercom.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tresources/views/partials/crm/push-summary/html-assembly.blade.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 83b628967a..ad2ce76737\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Jobs/Team/SyncToIntercom.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tresources/views/partials/crm/push-summary/html-assembly.blade.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 83b628967a..ad2ce76737\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Jobs/Team/SyncToIntercom.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 83b628967a..ad2ce76737\nFast-forward\n .cursor/rules/frontend-conventions.mdc | 23 ++\n .env.production-eu | 2 +-\n .env.staging | 2 +-\n Makefile | 10 +\n app/Component/ActivityAnalytics/Service/ActivityAnalyticsService.php | 6 +-\n app/Component/AiAutomation/Repositories/AiTemplateFieldsRepository.php | 32 +-\n app/Component/AiCallScoring/Repositories/AiScorecardRepository.php | 56 ++--\n app/Component/AskAnything/AskAnythingPromptService.php | 3 +\n app/Component/Transcription/Job/FinishTranscriptionJob.php | 37 ++-\n app/Component/Transcription/TranscriptionProcessor/Gong/Gong.php | 18 +-\n app/Component/Twilio/Conference/ConferenceManager/SoftPhoneManager.php | 4 +-\n app/Component/Twilio/Service/SoftPhoneService.php | 124 ++++---\n app/Component/Twilio/TwilioRepository.php | 27 ++\n app/Console/Commands/CoachingFeedbacksUpdateEsActivities.php | 59 ----\n app/Console/Commands/Reports/AutomatedReportsCommand.php | 122 +++++--\n app/Console/Commands/RunAiCallScoringForUntypedActivitiesCommand.php | 200 ++++++++++++\n app/Console/Commands/UpdateActivitiesAverageScoreExcludingFeedbacksNotSetVisibleToAll.php | 60 ----\n app/Console/Commands/Users/SyncToIntercom.php | 4 +-\n app/Console/Kernel.php | 3 +-\n app/Contracts/ES/Events/UpdateMultipleEntities.php | 4 -\n app/Contracts/ES/Events/UpdateSingleEntity.php | 4 -\n app/Contracts/Repositories/TeamRepository.php | 3 +-\n app/Events/Activities/ActivityUpdated.php | 10 +-\n app/Events/Activities/Audio/RecordingEvent.php | 6 +-\n app/Events/Activities/Softphone/Ended.php | 8 +-\n app/Events/Activities/Softphone/SoftphoneEvent.php | 24 +-\n app/Events/Activities/Softphone/Started.php | 8 +-\n app/Http/Controllers/API/ActivityController.php | 17 +-\n app/Http/Controllers/API/SoftphoneController.php | 9 +-\n app/Http/Controllers/API/UserAutomatedReports/UserAutomatedReportsController.php | 19 +-\n app/Http/Controllers/API/V2/AskAnythingController.php | 2 +-\n app/Http/Controllers/Auth/SocialController.php | 6 +-\n app/Http/Controllers/Kiosk/AutomatedReportsController.php | 38 ++-\n app/Http/Controllers/Kiosk/OrganizationsController.php | 8 +-\n app/Http/Controllers/Kiosk/PartnersController.php | 46 +++\n app/Http/Controllers/Kiosk/SearchController.php | 8 +\n app/Http/Controllers/Kiosk/Teams/OnboardController.php | 24 +-\n app/Http/Controllers/Settings/Teams/IntegrationController.php | 6 +-\n app/Http/Controllers/TeamSetupController.php | 4 +-\n app/Http/Controllers/Telephony/TextMessaging/MessageController.php | 12 +-\n app/Http/Controllers/Telephony/TextMessaging/WebhookController.php | 18 +-\n app/Http/Requests/Settings/Teams/CreateTeamRequest.php | 1 +\n app/Http/Requests/Settings/Teams/EditTeamRequest.php | 1 +\n app/Http/Transformers/ActivityTransformer.php | 4 +-\n app/Http/Transformers/OnDemandActivitiesTransformer.php | 2 +-\n app/Http/Transformers/PartnerTransformer.php | 1 +\n app/Http/Transformers/StageTransformer.php | 6 +-\n app/Http/Transformers/UserTransformer.php | 11 +-\n app/Interactions/Settings/Teams/CreateTeam.php | 3 +\n app/Jobs/AutomatedReports/RequestGenerateAskJiminnyReportJob.php | 80 ++++-\n app/Jobs/AutomatedReports/SendReportExpiringSoonMailJob.php | 119 +++++++\n app/Jobs/AutomatedReports/SendReportNotGeneratedMailJob.php | 89 +++++\n app/Jobs/Crm/Hubspot/ImportBatchJobTrait.php | 12 +-\n app/Jobs/Crm/UpdateStage.php | 3 +\n app/Jobs/Team/SyncToIntercom.php | 7 +-\n app/Listeners/Teams/SyncIntercomCompany.php | 5 +-\n app/Listeners/Teams/UpdateSalesforceAccount.php | 8 +-\n app/Listeners/Users/SyncIntercom.php | 5 +-\n app/Mail/Reports/AskJiminnyReportExpiringMail.php | 40 +++\n app/Mail/Reports/ReportNotGenerated.php | 41 +++\n app/Models/Activity.php | 25 +-\n app/Models/Activity/Question.php | 14 +-\n app/Models/Activity/Search.php | 7 +\n app/Models/AskAnything/AskAnythingPrompt.php | 6 +\n app/Models/AutomatedReport.php | 10 +\n app/Models/CoachingFeedback.php | 44 ++-\n app/Models/ElasticSearch/ActivityElasticSearchTrait.php | 86 +----\n app/Models/ElasticSearch/OpportunityElasticSearchTrait.php | 71 ----\n app/Models/ElasticSearch/SharedDocumentDeleteTrait.php | 27 --\n app/Models/Partner.php | 13 +\n app/Models/Playlist/Activity.php | 14 +-\n app/Notifications/OwnerInvitedToTrial.php | 14 +-\n app/Policies/UserPolicy.php | 16 +-\n app/Queue/Worker/Worker.php | 3 +-\n app/Repositories/ActivityRepository.php | 13 +-\n app/Repositories/AutomatedReportsRepository.php | 42 ++-\n app/Repositories/TeamRepository.php | 21 +-\n app/Repositories/UserRepository.php | 2 +-\n app/Services/Activity/MeetingBotService.php | 8 +-\n app/Services/ActivityService.php | 111 ++-----\n app/Services/Crm/Hubspot/Service.php | 36 +-\n app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 2 +-\n app/Services/Kiosk/AutomatedReports/AskJiminnyReportActivityService.php | 5 +-\n app/Services/Kiosk/AutomatedReports/AutomatedReportsService.php | 49 +--\n app/Services/Kiosk/KioskService.php | 7 +-\n app/Services/Webhook/Triggers/AiScorecardCompletedTrigger.php | 13 +-\n app/UseCases/TeamInsights/ConversationRowMapper.php | 78 +++++\n app/UseCases/TeamInsights/RecordingOutcomeTextResolver.php | 68 ++++\n app/UseCases/TeamInsights/StrictConsentColumnResolver.php | 45 +++\n app/UseCases/TeamInsights/TeamConversationsExport.php | 154 ++++-----\n composer.json | 1 -\n composer.lock | 95 +-----\n config/secure-headers.php | 5 +-\n database/mappings/mapping_activities.json | 16 +\n database/migrations/2026_04_14_000000_add_rockeed_partner.php | 51 +++\n database/migrations/2026_04_22_000000_add_success_email_to_partners.php | 26 ++\n database/migrations/2026_04_27_000000_add_label_to_partners.php | 28 ++\n database/migrations/2026_04_29_105053_move_ask_jiminny_reports_to_grow_tier.php | 79 +++++\n front-end/package.json | 5 +-\n front-end/src/__mocks__/jiminny.js | 4 +-\n front-end/src/__mocks__/kit/endpoints/automated-reports-promo.js | 9 +\n front-end/src/__mocks__/setup.js | 1 +\n front-end/src/apps/ai-reports-promo.js | 22 ++\n front-end/src/components/AiReports/AiReportsPromo.vue | 22 ++\n front-end/src/components/AiReports/AutomatedReportsPromo/AutomatedReportsPromo.vue | 190 +++++++++++\n front-end/src/components/AiReports/AutomatedReportsPromo/PromoCard.vue | 111 +++++++\n front-end/src/components/AiReports/AutomatedReportsPromo/WhyItMattersCard.vue | 103 ++++++\n front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/AutomatedReportsPromo.spec.js | 98 ++++++\n .../src/components/AiReports/AutomatedReportsPromo/__tests__/__snapshots__/automated-reports-promo.output.html | 283 ++++++++++++++++\n front-end/src/components/AiReports/Manage/ManageAiReports.vue | 8 +-\n front-end/src/components/AiReports/PanoramaReportsPromo/PanoramaReportsPromo.vue | 228 +++++++++++++\n front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/PanoramaReportsPromo.spec.js | 71 ++++\n .../src/components/AiReports/PanoramaReportsPromo/__tests__/__snapshots__/panorama-reports-promo.output.html | 217 ++++++++++++\n front-end/src/components/AiReports/constants.js | 7 +\n front-end/src/components/Settings/Kiosk/OrganizationSearch/Organizations.vue | 1 +\n front-end/src/components/Settings/Kiosk/__mocks__/Jiminny.js | 1 +\n front-end/src/components/Settings/Kiosk/modals/EditTeamModal/EditTeamModal.vue | 43 ++-\n front-end/src/components/Settings/Kiosk/modals/EditTeamModal/__tests__/EditTeamModal.spec.js | 203 ++++++++++++\n front-end/src/components/Settings/Kiosk/shared/Navigation/Navigation.vue | 3 +\n front-end/src/components/Settings/Kiosk/shared/Navigation/__tests__/Navigation.spec.js | 67 ++++\n front-end/src/components/TeamInsights/CoachingFrameworks/AICallScoring/aiCallScoringOverTime.ts | 4 +-\n front-end/src/components/TeamInsights/CoachingFrameworks/UsersList.vue | 2 +-\n front-end/src/components/layout/Sidebar/HelpMenu.vue | 25 +-\n front-end/src/components/layout/Sidebar/Sidebar.vue | 27 +-\n front-end/src/components/layout/Sidebar/__tests__/HelpMenu.spec.js | 94 ++++++\n front-end/src/components/layout/Sidebar/__tests__/__snapshots__/Sidebar.spec.js.snap | 4 +-\n front-end/src/components/layout/Sidebar/__tests__/useAiReportsSidebarButton.spec.js | 204 ++++++++++++\n front-end/src/components/layout/Sidebar/useAiReportsSidebarButton.js | 49 +++\n front-end/src/main.js | 1 +\n front-end/src/store/modules/TeamInsights/util.js | 1 +\n front-end/src/store/modules/platform/__tests__/getters.spec.js | 22 ++\n front-end/src/store/modules/platform/getters.js | 3 +\n front-end/src/utils/index.js | 11 +\n front-end/yarn.lock | 21 +-\n phpstan-baseline.neon | 60 ----\n public/pdf/exec-reports/com/coaching-profiles.pdf | Bin 0 -> 1531178 bytes\n public/pdf/exec-reports/com/exec-summary.pdf | Bin 0 -> 2237381 bytes\n public/pdf/exec-reports/com/loss-report.pdf | Bin 0 -> 1955343 bytes\n public/pdf/exec-reports/com/product-feedback.pdf | Bin 0 -> 2184417 bytes\n public/pdf/exec-reports/eu/coaching-profiles.pdf | Bin 0 -> 1528704 bytes\n public/pdf/exec-reports/eu/exec-summary.pdf | Bin 0 -> 2296741 bytes\n public/pdf/exec-reports/eu/loss-report.pdf | Bin 0 -> 1955808 bytes\n public/pdf/exec-reports/eu/product-feedback.pdf | Bin 0 -> 2184083 bytes\n resources/views/emails/reports/ask-jiminny-report-expiring.blade.php | 22 ++\n resources/views/emails/reports/report-not-generated.blade.php | 24 ++\n resources/views/partials/crm/push-summary/html-assembly.blade.php | 2 +-\n routes/api.php | 6 +\n routes/web.php | 4 +\n tests/Feature/Policies/UserPolicyTest.php | 90 ++++-\n tests/Unit/Component/ActivityAnalytics/Service/ActivityAnalyticsServiceTest.php | 40 +++\n tests/Unit/Component/AskAnything/AskAnythingPromptServiceTest.php | 26 ++\n tests/Unit/Component/Transcription/Job/FinishTranscriptionJobTest.php | 276 ++++++++++++++++\n tests/Unit/Component/Transcription/TranscriptionProcessor/Gong/GongTest.php | 375 +++++++++++++++++++++\n tests/Unit/Component/Twilio/Service/SoftPhoneServiceTest.php | 1014 +++++++++++++++++++++++++++++++++++++++++++++++++++++++--\n tests/Unit/Console/Commands/Reports/AutomatedReportsCommandTest.php | 157 ++++++++-\n tests/Unit/Events/Activities/Audio/RecordingEventTest.php | 72 ++++\n tests/Unit/Events/Activities/Softphone/EndedTest.php | 86 +++++\n tests/Unit/Events/Activities/Softphone/SoftphoneEventTest.php | 88 +++++\n tests/Unit/Events/Activities/Softphone/StartedTest.php | 86 +++++\n tests/Unit/Http/Controllers/Kiosk/AutomatedReportsControllerTest.php | 99 ++++++\n tests/Unit/Http/Transformers/ActivityTransformerTest.php | 5 +-\n tests/Unit/Http/Transformers/PartnerTransformerTest.php | 34 ++\n tests/Unit/Interactions/Settings/Teams/CreateTeamTest.php | 49 +++\n tests/Unit/Jobs/AutomatedReports/RequestGenerateAskJiminnyReportJobTest.php | 106 +++++-\n tests/Unit/Jobs/AutomatedReports/SendReportExpiringSoonMailJobTest.php | 205 ++++++++++++\n tests/Unit/Jobs/AutomatedReports/SendReportNotGeneratedMailJobTest.php | 188 +++++++++++\n tests/Unit/Jobs/Crm/ImportOpportunityBatchTest.php | 2 +-\n tests/Unit/Jobs/Team/SyncToIntercomTest.php | 6 +\n tests/Unit/Listeners/Teams/SyncIntercomCompanyTest.php | 59 ++++\n tests/Unit/Listeners/Teams/UpdateSalesforceAccountTest.php | 11 +-\n tests/Unit/Listeners/Users/SyncIntercomTest.php | 59 ++++\n tests/Unit/Mail/Reports/ReportNotGeneratedTest.php | 166 ++++++++++\n tests/Unit/Models/PartnerTest.php | 28 ++\n tests/Unit/Repositories/AutomatedReportsRepositoryTest.php | 68 ++++\n tests/Unit/Services/Activity/MeetingBotServiceRequestRecordingToStopTest.php | 14 +-\n tests/Unit/Services/ActivityServiceTest.php | 391 ++++++++++++++++++++++\n tests/Unit/Services/Crm/Hubspot/ServiceResponseNormalizeTest.php | 68 ++--\n tests/Unit/Services/Kiosk/AutomatedReports/AskJiminnyReportActivityServiceTest.php | 48 +--\n tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceActivitiesCountTest.php | 16 +-\n tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceReportGenerationTest.php | 24 +-\n tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceTest.php | 130 ++++++++\n tests/Unit/Services/KioskServiceTest.php | 8 +\n tests/Unit/Services/Webhook/Triggers/AiScorecardCompletedTriggerTest.php | 6 +-\n tests/Unit/UseCases/TeamInsights/RecordingOutcomeTextResolverTest.php | 119 +++++++\n tests/Unit/UseCases/TeamInsights/StrictConsentColumnResolverTest.php | 108 ++++++\n tests/Unit/UseCases/TeamInsights/TeamConversationsExportTest.php | 342 ++++++++++++++-----\n 186 files changed, 8538 insertions(+), 1233 deletions(-)\n create mode 100644 app/Component/Twilio/TwilioRepository.php\n delete mode 100644 app/Console/Commands/CoachingFeedbacksUpdateEsActivities.php\n create mode 100644 app/Console/Commands/RunAiCallScoringForUntypedActivitiesCommand.php\n delete mode 100644 app/Console/Commands/UpdateActivitiesAverageScoreExcludingFeedbacksNotSetVisibleToAll.php\n create mode 100644 app/Http/Controllers/Kiosk/PartnersController.php\n create mode 100644 app/Jobs/AutomatedReports/SendReportExpiringSoonMailJob.php\n create mode 100644 app/Jobs/AutomatedReports/SendReportNotGeneratedMailJob.php\n create mode 100644 app/Mail/Reports/AskJiminnyReportExpiringMail.php\n create mode 100644 app/Mail/Reports/ReportNotGenerated.php\n delete mode 100644 app/Models/ElasticSearch/SharedDocumentDeleteTrait.php\n create mode 100644 app/UseCases/TeamInsights/ConversationRowMapper.php\n create mode 100644 app/UseCases/TeamInsights/RecordingOutcomeTextResolver.php\n create mode 100644 app/UseCases/TeamInsights/StrictConsentColumnResolver.php\n create mode 100644 database/migrations/2026_04_14_000000_add_rockeed_partner.php\n create mode 100644 database/migrations/2026_04_22_000000_add_success_email_to_partners.php\n create mode 100644 database/migrations/2026_04_27_000000_add_label_to_partners.php\n create mode 100644 database/migrations/2026_04_29_105053_move_ask_jiminny_reports_to_grow_tier.php\n create mode 100644 front-end/src/__mocks__/kit/endpoints/automated-reports-promo.js\n create mode 100644 front-end/src/apps/ai-reports-promo.js\n create mode 100644 front-end/src/components/AiReports/AiReportsPromo.vue\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/AutomatedReportsPromo.vue\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/PromoCard.vue\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/WhyItMattersCard.vue\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/AutomatedReportsPromo.spec.js\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/__snapshots__/automated-reports-promo.output.html\n create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/PanoramaReportsPromo.vue\n create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/PanoramaReportsPromo.spec.js\n create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/__snapshots__/panorama-reports-promo.output.html\n create mode 100644 front-end/src/components/Settings/Kiosk/modals/EditTeamModal/__tests__/EditTeamModal.spec.js\n create mode 100644 front-end/src/components/Settings/Kiosk/shared/Navigation/__tests__/Navigation.spec.js\n create mode 100644 front-end/src/components/layout/Sidebar/__tests__/HelpMenu.spec.js\n create mode 100644 front-end/src/components/layout/Sidebar/__tests__/useAiReportsSidebarButton.spec.js\n create mode 100644 front-end/src/components/layout/Sidebar/useAiReportsSidebarButton.js\n create mode 100644 front-end/src/store/modules/platform/__tests__/getters.spec.js\n create mode 100644 public/pdf/exec-reports/com/coaching-profiles.pdf\n create mode 100644 public/pdf/exec-reports/com/exec-summary.pdf\n create mode 100644 public/pdf/exec-reports/com/loss-report.pdf\n create mode 100644 public/pdf/exec-reports/com/product-feedback.pdf\n create mode 100644 public/pdf/exec-reports/eu/coaching-profiles.pdf\n create mode 100644 public/pdf/exec-reports/eu/exec-summary.pdf\n create mode 100644 public/pdf/exec-reports/eu/loss-report.pdf\n create mode 100644 public/pdf/exec-reports/eu/product-feedback.pdf\n create mode 100644 resources/views/emails/reports/ask-jiminny-report-expiring.blade.php\n create mode 100644 resources/views/emails/reports/report-not-generated.blade.php\n create mode 100644 tests/Unit/Component/Transcription/Job/FinishTranscriptionJobTest.php\n create mode 100644 tests/Unit/Component/Transcription/TranscriptionProcessor/Gong/GongTest.php\n create mode 100644 tests/Unit/Events/Activities/Audio/RecordingEventTest.php\n create mode 100644 tests/Unit/Events/Activities/Softphone/EndedTest.php\n create mode 100644 tests/Unit/Events/Activities/Softphone/SoftphoneEventTest.php\n create mode 100644 tests/Unit/Events/Activities/Softphone/StartedTest.php\n create mode 100644 tests/Unit/Http/Transformers/PartnerTransformerTest.php\n create mode 100644 tests/Unit/Jobs/AutomatedReports/SendReportExpiringSoonMailJobTest.php\n create mode 100644 tests/Unit/Jobs/AutomatedReports/SendReportNotGeneratedMailJobTest.php\n create mode 100644 tests/Unit/Listeners/Teams/SyncIntercomCompanyTest.php\n create mode 100644 tests/Unit/Listeners/Users/SyncIntercomTest.php\n create mode 100644 tests/Unit/Mail/Reports/ReportNotGeneratedTest.php\n create mode 100644 tests/Unit/Models/PartnerTest.php\n create mode 100644 tests/Unit/Services/ActivityServiceTest.php\n create mode 100644 tests/Unit/UseCases/TeamInsights/RecordingOutcomeTextResolverTest.php\n create mode 100644 tests/Unit/UseCases/TeamInsights/StrictConsentColumnResolverTest.php\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull \nremote: Enumerating objects: 628, done.\nremote: Counting objects: 100% (331/331), done.\nremote: Compressing objects: 100% (63/63), done.\nremote: Total 628 (delta 280), reused 274 (delta 266), pack-reused 297 (from 1)\nReceiving objects: 100% (628/628), 186.75 KiB | 1.23 MiB/s, done.\nResolving deltas: 100% (391/391), completed with 57 local objects.\nFrom github.com:jiminny/app\n ad2ce76737..12295204cf master -> origin/master\n 14f54b5be2..5e7646e5f9 JY-17836-participant-speeches-in-s3 -> origin/JY-17836-participant-speeches-in-s3\n b167b19973..acba55cf38 JY-20289-api-tests -> origin/JY-20289-api-tests\n f23cfee7c3..e5a3ec5dba JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null -> origin/JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null\n af59d60926..766efba1c5 JY-20395-fix-memory-issue-with-mail-import -> origin/JY-20395-fix-memory-issue-with-mail-import\n * [new branch] JY-20493-smart-instant-nudge-pre-filtering -> origin/JY-20493-smart-instant-nudge-pre-filtering\n 1737b7c528..c57e71e763 JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n * [new branch] JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech\n + ba181441c6...20a74137b0 JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)\n * [new branch] JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue\n * [new branch] JY-20816-calendar-events-diplication -> origin/JY-20816-calendar-events-diplication\n * [new branch] desktop-app -> origin/desktop-app\n 4c4c974e46..185442c26e make-claude-great-again -> origin/make-claude-great-again\n * [new branch] mcp-tools-schemas -> origin/mcp-tools-schemas\nUpdating ad2ce76737..12295204cf\nFast-forward\n app/Component/Encoding/Job/AnalyzeTrackChannelsJob.php | 2 +-\n app/Component/Transcription/TranscriptionProcessor/AssemblyAI/Services/SubmitAudioFileService.php | 66 ++----------------------------------------------------------------\n app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 24 +++++++++++++++++-------\n tests/Unit/Console/Commands/Tracks/CleanupActivityTracksCommandTest.php | 40 +++++++++++++++++++++++++++++-----------\n tests/Unit/fixtures/assembly_ai_transcript_response.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_channel_diarization.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_language.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_language_error.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_language_not_ready.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_language_post.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_without_utterances.json | 1 -\n 11 files changed, 49 insertions(+), 90 deletions(-)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20818-move-AJ-reports-to-separated-datadog-metric\nSwitched to a new branch 'JY-20818-move-AJ-reports-to-separated-datadog-metric'\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ csfix\ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5663/5663 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n\nFixed 0 of 5663 files in 83.615 seconds, 67.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ ;xd\ndocker exec -it docker_lamp_1 bash -c \"mv /usr/local/etc/php/conf.d/xdebug.ini ~/xdebug.ini\"\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\ndocker exec -it docker_lamp_1 supervisorctl restart all\njiminny-worker-processing-2:jiminny-worker-processing-2_00: stopped\njiminny-worker-processing-3:jiminny-worker-processing-3_00: stopped\njiminny-worker-processing-4:jiminny-worker-processing-4_00: stopped\njiminny-worker-processing-5:jiminny-worker-processing-5_00: stopped\njiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: stopped\nworker-analytics:worker-analytics_00: stopped\nworker-crm-update:worker-crm-update_00: stopped\nworker-download:worker-download_00: stopped\nworker-nudges:worker-nudges_00: stopped\nartisan-schedule:artisan-schedule_00: stopped\nworker-calendar:worker-calendar_00: stopped\nworker-crm-sync:worker-crm-sync_00: stopped\njiminny-worker-processing-1:jiminny-worker-processing-1_00: stopped\nworker:worker_00: stopped\nworker-emails:worker-emails_00: stopped\nworker-audio:worker-audio_00: stopped\nworker-conferences:worker-conferences_00: stopped\nworker-es-update:worker-es-update_00: stopped\nartisan-schedule:artisan-schedule_00: started\njiminny-worker-processing-1:jiminny-worker-processing-1_00: started\njiminny-worker-processing-2:jiminny-worker-processing-2_00: started\njiminny-worker-processing-3:jiminny-worker-processing-3_00: started\njiminny-worker-processing-4:jiminny-worker-processing-4_00: started\njiminny-worker-processing-5:jiminny-worker-processing-5_00: started\njiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: started\nworker:worker_00: started\nworker-analytics:worker-analytics_00: started\nworker-audio:worker-audio_00: started\nworker-calendar:worker-calendar_00: started\nworker-conferences:worker-conferences_00: started\nworker-crm-sync:worker-crm-sync_00: started\nworker-crm-update:worker-crm-update_00: started\nworker-download:worker-download_00: started\nworker-emails:worker-emails_00: started\nworker-es-update:worker-es-update_00: started\nworker-nudges:worker-nudges_00: started\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\ndocker exec -it docker_lamp_1 php -v\nPHP 8.3.30 (cli) (built: Mar 16 2026 22:32:32) (NTS)\nCopyright (c) The PHP Group\nZend Engine v4.3.30, Copyright (c) Zend Technologies\n with Zend OPcache v8.3.30, Copyright (c), by Zend Technologies\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ csfix\ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5663/5663 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n\nFixed 0 of 5663 files in 42.875 seconds, 60.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ git status\nOn branch master\nYour branch is up to date with 'origin/master'.\n\nChanges not staged for commit:\n (use \"git add <file>...\" to update what will be committed)\n (use \"git restore <file>...\" to discard changes in working directory)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: .env.local\n\nUntracked files:\n (use \"git add <file>...\" to include in what will be committed)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.nikilocal\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.other\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tWEBHOOK_FILTERING_IMPLEMENTATION.md\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tids.txt\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tpublic/favicon.ico\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\traw_sql_query.sql\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\ttests/Unit/Policies/CanAccessAiReportsTest.php\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 15, done.\nremote: Counting objects: 100% (15/15), done.\nremote: Compressing objects: 100% (2/2), done.\nremote: Total 15 (delta 13), reused 15 (delta 13), pack-reused 0 (from 0)\nUnpacking objects: 100% (15/15), 1.28 KiB | 72.00 KiB/s, done.\nFrom github.com:jiminny/app\n c57e71e763..8743fea32e JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n * [new branch] JY-20819-increase-download-transctip-rate-limit -> origin/JY-20819-increase-download-transctip-rate-limit\nAlready up to date.\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull \nremote: Enumerating objects: 180, done.\nremote: Counting objects: 100% (179/179), done.\nremote: Compressing objects: 100% (55/55), done.\nremote: Total 180 (delta 127), reused 165 (delta 119), pack-reused 1 (from 1)\nReceiving objects: 100% (180/180), 57.50 KiB | 2.74 MiB/s, done.\nResolving deltas: 100% (127/127), completed with 47 local objects.\nFrom github.com:jiminny/app\n 12295204cf..35f036ace6 master -> origin/master\n * [new branch] JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5\n 5f21965da8..497fbc85c2 JY-20493-smart-instant-nudge-pre-filtering -> origin/JY-20493-smart-instant-nudge-pre-filtering\n f029263118..6ed9e2bb13 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue\n * [new branch] JY-20817-fix-deleting-s3-directories -> origin/JY-20817-fix-deleting-s3-directories\n * [new branch] JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration\n + ca92730ec5...2c8a1d0856 desktop-app -> origin/desktop-app (forced update)\n 8425d4e0de..89b45ec8b0 mcp-tools-schemas -> origin/mcp-tools-schemas\nUpdating 12295204cf..35f036ace6\nFast-forward\n app/Component/Datadog/Constants.php | 1 +\n app/Providers/RouteServiceProvider.php | 2 +-\n app/Services/Kiosk/AutomatedReports/AutomatedReportsCallbackService.php | 13 +++++++++++++\n tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsCallbackServiceTest.php | 54 +++++++++++++++++++++++++++++++++++++++++++++++-------\n 4 files changed, 62 insertions(+), 8 deletions(-)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ gbr \n* master\n JY-20818-move-AJ-reports-to-separated-datadog-metric\n JY-20773-fix-automated-reports-user-pilot-tracking\n JY-20157-AJ-report-not-send-notification\n JY-20508-notify-before-AJ-report-expiration\n JY-20372-ai-reports-promotion-pages\n JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null\n JY-20738-debug-AJ-tracking-UP\n a\n JY-18909-automated-reports-ask-jiminny\n JY-20692-fix-integration-app-token-auth-response-change\n JY-20553-debug-crm-sync-delays\n JY-20698-fix-SF-activity-types-on-new-playbook\n JY-20543-AJ-report-tracking\n JY-20384-handle-auto-sync-with-no-access-to-event-type\n JY-20458-ask-jiminny-user-definitions\n JY-19666-fix-import-contacts-account-association\n JY-19666-HS-import-contacts-and-accounts-batch-job\n JY-20458-Ask-Jiminny-Reports\n JY-20200-batch-update-CRM-objects-Salesforce\n JY-19666-HS-webhooks-add-contact-and-company\n JY-20348-trigger-setup-DI-layout-on-team-creation\n JY-20326-refactor-info-message-in-command\n JY-20317-fix-auto-log-delay-issue-on-all-channels-disabled\n JY-20312-remove-on-update-change-last-synced-at-crm-configurations\n JY-20306-SF-skip-auto-sync-for-task-based-playbook\n JY-20192-remove-deleted-team-from-saved-search-filters\n JY-20197-import-opportunity-batch-job\n JY-20293-enable-status-field-for-pipedrive-deals\n JY-20191-remove-commands-interactive-prompts\n JY-20118-change-default-sync-strategy\n JY-20183-add-cache-on-auto-log-delay\n JY-20197-add-import-opportunity-batch-job\n 20118-hs-opportunity-make-webhook-strategy-default\n JY-20118-make-default-hs-opportunity-sync-strategy-webhook-based\n JY-20196-handle-opportunity-without-note\n JY-20118-improve-opportunity-import\n JY-20189-handle-activity-search-on-deleted-groups\n JY-20160\n JY-20145-filter-out-converted-leads-when-matching\n JY-20150-skip-push-summary-on-summary-ready-if-autolog\n JY-20132-fix-note-encoding\n JY-19792-clean-logs\n JY-20117-fix-sync-profile-fields-on-empty-fields\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20725-handle-HS-search-rate-limit \nSwitched to a new branch 'JY-20725-handle-HS-search-rate-limit'\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ ;xd\ndocker exec -it docker_lamp_1 bash -c \"mv /usr/local/etc/php/conf.d/xdebug.ini ~/xdebug.ini\"\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\ndocker exec -it docker_lamp_1 supervisorctl restart all\njiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: stopped\njiminny-worker-processing-2:jiminny-worker-processing-2_00: stopped\njiminny-worker-processing-3:jiminny-worker-processing-3_00: stopped\njiminny-worker-processing-4:jiminny-worker-processing-4_00: stopped\njiminny-worker-processing-5:jiminny-worker-processing-5_00: stopped\nworker-analytics:worker-analytics_00: stopped\nworker-crm-update:worker-crm-update_00: stopped\nworker-download:worker-download_00: stopped\nworker-nudges:worker-nudges_00: stopped\nartisan-schedule:artisan-schedule_00: stopped\nworker-emails:worker-emails_00: stopped\nworker:worker_00: stopped\nworker-calendar:worker-calendar_00: stopped\njiminny-worker-processing-1:jiminny-worker-processing-1_00: stopped\nworker-crm-sync:worker-crm-sync_00: stopped\nworker-audio:worker-audio_00: stopped\nworker-conferences:worker-conferences_00: stopped\nworker-es-update:worker-es-update_00: stopped\nartisan-schedule:artisan-schedule_00: started\njiminny-worker-processing-1:jiminny-worker-processing-1_00: started\njiminny-worker-processing-2:jiminny-worker-processing-2_00: started\njiminny-worker-processing-3:jiminny-worker-processing-3_00: started\njiminny-worker-processing-4:jiminny-worker-processing-4_00: started\njiminny-worker-processing-5:jiminny-worker-processing-5_00: started\njiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: started\nworker:worker_00: started\nworker-analytics:worker-analytics_00: started\nworker-audio:worker-audio_00: started\nworker-calendar:worker-calendar_00: started\nworker-conferences:worker-conferences_00: started\nworker-crm-sync:worker-crm-sync_00: started\nworker-crm-update:worker-crm-update_00: started\nworker-download:worker-download_00: started\nworker-emails:worker-emails_00: started\nworker-es-update:worker-es-update_00: started\nworker-nudges:worker-nudges_00: started\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\ndocker exec -it docker_lamp_1 php -v\nPHP 8.3.30 (cli) (built: Mar 16 2026 22:32:32) (NTS)\nCopyright (c) The PHP Group\nZend Engine v4.3.30, Copyright (c) Zend Technologies\n with Zend OPcache v8.3.30, Copyright (c), by Zend Technologies\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ csfix\ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5666/5666 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n 1) app/Jobs/Crm/MatchActivityCrmData.php (ordered_class_elements)\n ---------- begin diff ----------\n--- /home/jiminny/app/Jobs/Crm/MatchActivityCrmData.php\n+++ /home/jiminny/app/Jobs/Crm/MatchActivityCrmData.php\n@@ -29,24 +29,14 @@\n use InteractsWithQueue;\n use SerializesModels;\n \n+ private const int RETRY_WINDOW_MINUTES = 120;\n+\n public int $maxExceptions = 3;\n \n- private const int RETRY_WINDOW_MINUTES = 120;\n-\n private int $activityId;\n private ?Configuration $fromConfiguration;\n private bool $remoteSearch;\n \n- public function middleware(): array\n- {\n- return [new HandleHubspotRateLimit()];\n- }\n-\n- public function retryUntil(): \\DateTimeInterface\n- {\n- return now()->addMinutes(self::RETRY_WINDOW_MINUTES);\n- }\n-\n public function __construct(\n int $activityId,\n ?Configuration $fromConfiguration = null,\n@@ -57,6 +47,16 @@\n $this->remoteSearch = $remoteSearch;\n \n $this->onQueue(Constants::QUEUE_ANALYTICS_LOW);\n+ }\n+\n+ public function middleware(): array\n+ {\n+ return [new HandleHubspotRateLimit()];\n+ }\n+\n+ public function retryUntil(): \\DateTimeInterface\n+ {\n+ return now()->addMinutes(self::RETRY_WINDOW_MINUTES);\n }\n \n public function uniqueId(): string\n\n ----------- end diff -----------\n\n 2) app/Services/Crm/Hubspot/HubspotClientInterface.php (phpdoc_order, phpdoc_separation)\n ---------- begin diff ----------\n--- /home/jiminny/app/Services/Crm/Hubspot/HubspotClientInterface.php\n+++ /home/jiminny/app/Services/Crm/Hubspot/HubspotClientInterface.php\n@@ -46,9 +46,11 @@\n *\n * @param string $objectType The object type ('deals', 'companies', 'contacts', 'calls')\n * @param array<string, mixed> $payload The search payload with filters, sorts, properties, etc.\n- * @return array The search response with 'results', 'total', 'paging' keys\n+ *\n * @throws RateLimitException When rate limit is hit\n * @throws HubspotException On API errors\n+ *\n+ * @return array The search response with 'results', 'total', 'paging' keys\n */\n public function search(string $objectType, array $payload): array;\n }\n\n ----------- end diff -----------\n\n 3) app/Services/Crm/Hubspot/Client.php (phpdoc_order, phpdoc_separation, blank_line_before_statement)\n ---------- begin diff ----------\n--- /home/jiminny/app/Services/Crm/Hubspot/Client.php\n+++ /home/jiminny/app/Services/Crm/Hubspot/Client.php\n@@ -69,10 +69,12 @@\n * the cache near expiry are not delayed longer than necessary.\n *\n * @template T\n+ *\n * @param callable(): T $apiCall The API call to execute\n- * @return T The result of the API call\n *\n * @throws RateLimitException When rate limit is hit or cached rate limit is active\n+ *\n+ * @return T The result of the API call\n */\n private function executeRequest(callable $apiCall)\n {\n@@ -81,6 +83,7 @@\n $cachedExpiresAt = Redis::get($cacheKey);\n if (is_string($cachedExpiresAt) && is_numeric($cachedExpiresAt)) {\n $remaining = max(1, (int) $cachedExpiresAt - time());\n+\n throw new RateLimitException(\n 'Hubspot rate limit (cached circuit-breaker)',\n $remaining,\n@@ -232,9 +235,11 @@\n *\n * @param string $objectType The object type ('deals', 'companies', 'contacts', 'calls')\n * @param array<string, mixed> $payload The search payload with filters, sorts, properties, etc.\n- * @return array The search response with 'results', 'total', 'paging' keys\n+ *\n * @throws RateLimitException When rate limit is hit\n * @throws HubspotException On API errors\n+ *\n+ * @return array The search response with 'results', 'total', 'paging' keys\n */\n public function search(string $objectType, array $payload): array\n {\n\n ----------- end diff -----------\n\n 4) app/Console/Commands/JiminnyDebugCommand.php (statement_indentation)\n ---------- begin diff ----------\n--- /home/jiminny/app/Console/Commands/JiminnyDebugCommand.php\n+++ /home/jiminny/app/Console/Commands/JiminnyDebugCommand.php\n@@ -359,11 +359,11 @@\n $crmService = $crmResolver->prepareCrmService();\n \n for ($i = 0 ; $i < 3; $i++) {\n-// if ($i % 25 === 0) {\n-// $this->info(\"Syncing opportunity {$i}\");\n- $this->info(\"Matching contact {$i}\");\n-// }\n-// $crmService->syncOpportunity('374720564');\n+ // if ($i % 25 === 0) {\n+ // $this->info(\"Syncing opportunity {$i}\");\n+ $this->info(\"Matching contact {$i}\");\n+ // }\n+ // $crmService->syncOpportunity('374720564');\n $crmService->matchByName('Robot');\n }\n }\n\n ----------- end diff -----------\n\n\nFixed 4 of 5666 files in 146.870 seconds, 60.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ csfix \ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5666/5666 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n\nFixed 0 of 5666 files in 106.192 seconds, 60.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ csfix\ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5666/5666 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n\nFixed 0 of 5666 files in 66.457 seconds, 60.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $","depth":4,"on_screen":true,"value":"Last login: Thu May 7 09:44:56 on ttys007\n\nPoetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20773-fix-automated-reports-user-pilot-tracking) $ git status\nOn branch master\nYour branch is up to date with 'origin/master'.\n\nChanges not staged for commit:\n (use \"git add <file>...\" to update what will be committed)\n (use \"git restore <file>...\" to discard changes in working directory)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: .env.local\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Console/Commands/JiminnyDebugCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Jobs/Team/SyncToIntercom.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: app/Services/PlaybackService.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: config/logging.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: resources/views/partials/crm/push-summary/html-assembly.blade.php\n\nUntracked files:\n (use \"git add <file>...\" to include in what will be committed)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.nikilocal\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.other\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tWEBHOOK_FILTERING_IMPLEMENTATION.md\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tids.txt\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tpublic/favicon.ico\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\traw_sql_query.sql\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\ttests/Unit/Policies/CanAccessAiReportsTest.php\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 1482, done.\nremote: Counting objects: 100% (481/481), done.\nremote: Compressing objects: 100% (191/191), done.\nremote: Total 1482 (delta 349), reused 305 (delta 289), pack-reused 1001 (from 4)\nReceiving objects: 100% (1482/1482), 1017.97 KiB | 1.44 MiB/s, done.\nResolving deltas: 100% (877/877), completed with 96 local objects.\nFrom github.com:jiminny/app\n 83b628967a..ad2ce76737 master -> origin/master\n 1ee8cbcb7b..14f54b5be2 JY-17836-participant-speeches-in-s3 -> origin/JY-17836-participant-speeches-in-s3\n 5662c3b32f..b167b19973 JY-20289-api-tests -> origin/JY-20289-api-tests\n b40408cfad..f23cfee7c3 JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null -> origin/JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null\n * [new branch] JY-20395-fix-memory-issue-with-mail-import -> origin/JY-20395-fix-memory-issue-with-mail-import\n * [new branch] JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n * [new branch] JY-20662-remove-word-boost -> origin/JY-20662-remove-word-boost\n * [new branch] JY-20742-mcp-poc -> origin/JY-20742-mcp-poc\n * [new branch] make-claude-great-again -> origin/make-claude-great-again\n * [new branch] secfix/composer-20260507 -> origin/secfix/composer-20260507\n * [new branch] secfix/npm-20260507 -> origin/secfix/npm-20260507\nUpdating 83b628967a..ad2ce76737\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Jobs/Team/SyncToIntercom.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tresources/views/partials/crm/push-summary/html-assembly.blade.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 83b628967a..ad2ce76737\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Jobs/Team/SyncToIntercom.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tresources/views/partials/crm/push-summary/html-assembly.blade.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 83b628967a..ad2ce76737\nerror: Your local changes to the following files would be overwritten by merge:\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Jobs/Team/SyncToIntercom.php\nPlease commit your changes or stash them before you merge.\nAborting\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nUpdating 83b628967a..ad2ce76737\nFast-forward\n .cursor/rules/frontend-conventions.mdc | 23 ++\n .env.production-eu | 2 +-\n .env.staging | 2 +-\n Makefile | 10 +\n app/Component/ActivityAnalytics/Service/ActivityAnalyticsService.php | 6 +-\n app/Component/AiAutomation/Repositories/AiTemplateFieldsRepository.php | 32 +-\n app/Component/AiCallScoring/Repositories/AiScorecardRepository.php | 56 ++--\n app/Component/AskAnything/AskAnythingPromptService.php | 3 +\n app/Component/Transcription/Job/FinishTranscriptionJob.php | 37 ++-\n app/Component/Transcription/TranscriptionProcessor/Gong/Gong.php | 18 +-\n app/Component/Twilio/Conference/ConferenceManager/SoftPhoneManager.php | 4 +-\n app/Component/Twilio/Service/SoftPhoneService.php | 124 ++++---\n app/Component/Twilio/TwilioRepository.php | 27 ++\n app/Console/Commands/CoachingFeedbacksUpdateEsActivities.php | 59 ----\n app/Console/Commands/Reports/AutomatedReportsCommand.php | 122 +++++--\n app/Console/Commands/RunAiCallScoringForUntypedActivitiesCommand.php | 200 ++++++++++++\n app/Console/Commands/UpdateActivitiesAverageScoreExcludingFeedbacksNotSetVisibleToAll.php | 60 ----\n app/Console/Commands/Users/SyncToIntercom.php | 4 +-\n app/Console/Kernel.php | 3 +-\n app/Contracts/ES/Events/UpdateMultipleEntities.php | 4 -\n app/Contracts/ES/Events/UpdateSingleEntity.php | 4 -\n app/Contracts/Repositories/TeamRepository.php | 3 +-\n app/Events/Activities/ActivityUpdated.php | 10 +-\n app/Events/Activities/Audio/RecordingEvent.php | 6 +-\n app/Events/Activities/Softphone/Ended.php | 8 +-\n app/Events/Activities/Softphone/SoftphoneEvent.php | 24 +-\n app/Events/Activities/Softphone/Started.php | 8 +-\n app/Http/Controllers/API/ActivityController.php | 17 +-\n app/Http/Controllers/API/SoftphoneController.php | 9 +-\n app/Http/Controllers/API/UserAutomatedReports/UserAutomatedReportsController.php | 19 +-\n app/Http/Controllers/API/V2/AskAnythingController.php | 2 +-\n app/Http/Controllers/Auth/SocialController.php | 6 +-\n app/Http/Controllers/Kiosk/AutomatedReportsController.php | 38 ++-\n app/Http/Controllers/Kiosk/OrganizationsController.php | 8 +-\n app/Http/Controllers/Kiosk/PartnersController.php | 46 +++\n app/Http/Controllers/Kiosk/SearchController.php | 8 +\n app/Http/Controllers/Kiosk/Teams/OnboardController.php | 24 +-\n app/Http/Controllers/Settings/Teams/IntegrationController.php | 6 +-\n app/Http/Controllers/TeamSetupController.php | 4 +-\n app/Http/Controllers/Telephony/TextMessaging/MessageController.php | 12 +-\n app/Http/Controllers/Telephony/TextMessaging/WebhookController.php | 18 +-\n app/Http/Requests/Settings/Teams/CreateTeamRequest.php | 1 +\n app/Http/Requests/Settings/Teams/EditTeamRequest.php | 1 +\n app/Http/Transformers/ActivityTransformer.php | 4 +-\n app/Http/Transformers/OnDemandActivitiesTransformer.php | 2 +-\n app/Http/Transformers/PartnerTransformer.php | 1 +\n app/Http/Transformers/StageTransformer.php | 6 +-\n app/Http/Transformers/UserTransformer.php | 11 +-\n app/Interactions/Settings/Teams/CreateTeam.php | 3 +\n app/Jobs/AutomatedReports/RequestGenerateAskJiminnyReportJob.php | 80 ++++-\n app/Jobs/AutomatedReports/SendReportExpiringSoonMailJob.php | 119 +++++++\n app/Jobs/AutomatedReports/SendReportNotGeneratedMailJob.php | 89 +++++\n app/Jobs/Crm/Hubspot/ImportBatchJobTrait.php | 12 +-\n app/Jobs/Crm/UpdateStage.php | 3 +\n app/Jobs/Team/SyncToIntercom.php | 7 +-\n app/Listeners/Teams/SyncIntercomCompany.php | 5 +-\n app/Listeners/Teams/UpdateSalesforceAccount.php | 8 +-\n app/Listeners/Users/SyncIntercom.php | 5 +-\n app/Mail/Reports/AskJiminnyReportExpiringMail.php | 40 +++\n app/Mail/Reports/ReportNotGenerated.php | 41 +++\n app/Models/Activity.php | 25 +-\n app/Models/Activity/Question.php | 14 +-\n app/Models/Activity/Search.php | 7 +\n app/Models/AskAnything/AskAnythingPrompt.php | 6 +\n app/Models/AutomatedReport.php | 10 +\n app/Models/CoachingFeedback.php | 44 ++-\n app/Models/ElasticSearch/ActivityElasticSearchTrait.php | 86 +----\n app/Models/ElasticSearch/OpportunityElasticSearchTrait.php | 71 ----\n app/Models/ElasticSearch/SharedDocumentDeleteTrait.php | 27 --\n app/Models/Partner.php | 13 +\n app/Models/Playlist/Activity.php | 14 +-\n app/Notifications/OwnerInvitedToTrial.php | 14 +-\n app/Policies/UserPolicy.php | 16 +-\n app/Queue/Worker/Worker.php | 3 +-\n app/Repositories/ActivityRepository.php | 13 +-\n app/Repositories/AutomatedReportsRepository.php | 42 ++-\n app/Repositories/TeamRepository.php | 21 +-\n app/Repositories/UserRepository.php | 2 +-\n app/Services/Activity/MeetingBotService.php | 8 +-\n app/Services/ActivityService.php | 111 ++-----\n app/Services/Crm/Hubspot/Service.php | 36 +-\n app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 2 +-\n app/Services/Kiosk/AutomatedReports/AskJiminnyReportActivityService.php | 5 +-\n app/Services/Kiosk/AutomatedReports/AutomatedReportsService.php | 49 +--\n app/Services/Kiosk/KioskService.php | 7 +-\n app/Services/Webhook/Triggers/AiScorecardCompletedTrigger.php | 13 +-\n app/UseCases/TeamInsights/ConversationRowMapper.php | 78 +++++\n app/UseCases/TeamInsights/RecordingOutcomeTextResolver.php | 68 ++++\n app/UseCases/TeamInsights/StrictConsentColumnResolver.php | 45 +++\n app/UseCases/TeamInsights/TeamConversationsExport.php | 154 ++++-----\n composer.json | 1 -\n composer.lock | 95 +-----\n config/secure-headers.php | 5 +-\n database/mappings/mapping_activities.json | 16 +\n database/migrations/2026_04_14_000000_add_rockeed_partner.php | 51 +++\n database/migrations/2026_04_22_000000_add_success_email_to_partners.php | 26 ++\n database/migrations/2026_04_27_000000_add_label_to_partners.php | 28 ++\n database/migrations/2026_04_29_105053_move_ask_jiminny_reports_to_grow_tier.php | 79 +++++\n front-end/package.json | 5 +-\n front-end/src/__mocks__/jiminny.js | 4 +-\n front-end/src/__mocks__/kit/endpoints/automated-reports-promo.js | 9 +\n front-end/src/__mocks__/setup.js | 1 +\n front-end/src/apps/ai-reports-promo.js | 22 ++\n front-end/src/components/AiReports/AiReportsPromo.vue | 22 ++\n front-end/src/components/AiReports/AutomatedReportsPromo/AutomatedReportsPromo.vue | 190 +++++++++++\n front-end/src/components/AiReports/AutomatedReportsPromo/PromoCard.vue | 111 +++++++\n front-end/src/components/AiReports/AutomatedReportsPromo/WhyItMattersCard.vue | 103 ++++++\n front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/AutomatedReportsPromo.spec.js | 98 ++++++\n .../src/components/AiReports/AutomatedReportsPromo/__tests__/__snapshots__/automated-reports-promo.output.html | 283 ++++++++++++++++\n front-end/src/components/AiReports/Manage/ManageAiReports.vue | 8 +-\n front-end/src/components/AiReports/PanoramaReportsPromo/PanoramaReportsPromo.vue | 228 +++++++++++++\n front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/PanoramaReportsPromo.spec.js | 71 ++++\n .../src/components/AiReports/PanoramaReportsPromo/__tests__/__snapshots__/panorama-reports-promo.output.html | 217 ++++++++++++\n front-end/src/components/AiReports/constants.js | 7 +\n front-end/src/components/Settings/Kiosk/OrganizationSearch/Organizations.vue | 1 +\n front-end/src/components/Settings/Kiosk/__mocks__/Jiminny.js | 1 +\n front-end/src/components/Settings/Kiosk/modals/EditTeamModal/EditTeamModal.vue | 43 ++-\n front-end/src/components/Settings/Kiosk/modals/EditTeamModal/__tests__/EditTeamModal.spec.js | 203 ++++++++++++\n front-end/src/components/Settings/Kiosk/shared/Navigation/Navigation.vue | 3 +\n front-end/src/components/Settings/Kiosk/shared/Navigation/__tests__/Navigation.spec.js | 67 ++++\n front-end/src/components/TeamInsights/CoachingFrameworks/AICallScoring/aiCallScoringOverTime.ts | 4 +-\n front-end/src/components/TeamInsights/CoachingFrameworks/UsersList.vue | 2 +-\n front-end/src/components/layout/Sidebar/HelpMenu.vue | 25 +-\n front-end/src/components/layout/Sidebar/Sidebar.vue | 27 +-\n front-end/src/components/layout/Sidebar/__tests__/HelpMenu.spec.js | 94 ++++++\n front-end/src/components/layout/Sidebar/__tests__/__snapshots__/Sidebar.spec.js.snap | 4 +-\n front-end/src/components/layout/Sidebar/__tests__/useAiReportsSidebarButton.spec.js | 204 ++++++++++++\n front-end/src/components/layout/Sidebar/useAiReportsSidebarButton.js | 49 +++\n front-end/src/main.js | 1 +\n front-end/src/store/modules/TeamInsights/util.js | 1 +\n front-end/src/store/modules/platform/__tests__/getters.spec.js | 22 ++\n front-end/src/store/modules/platform/getters.js | 3 +\n front-end/src/utils/index.js | 11 +\n front-end/yarn.lock | 21 +-\n phpstan-baseline.neon | 60 ----\n public/pdf/exec-reports/com/coaching-profiles.pdf | Bin 0 -> 1531178 bytes\n public/pdf/exec-reports/com/exec-summary.pdf | Bin 0 -> 2237381 bytes\n public/pdf/exec-reports/com/loss-report.pdf | Bin 0 -> 1955343 bytes\n public/pdf/exec-reports/com/product-feedback.pdf | Bin 0 -> 2184417 bytes\n public/pdf/exec-reports/eu/coaching-profiles.pdf | Bin 0 -> 1528704 bytes\n public/pdf/exec-reports/eu/exec-summary.pdf | Bin 0 -> 2296741 bytes\n public/pdf/exec-reports/eu/loss-report.pdf | Bin 0 -> 1955808 bytes\n public/pdf/exec-reports/eu/product-feedback.pdf | Bin 0 -> 2184083 bytes\n resources/views/emails/reports/ask-jiminny-report-expiring.blade.php | 22 ++\n resources/views/emails/reports/report-not-generated.blade.php | 24 ++\n resources/views/partials/crm/push-summary/html-assembly.blade.php | 2 +-\n routes/api.php | 6 +\n routes/web.php | 4 +\n tests/Feature/Policies/UserPolicyTest.php | 90 ++++-\n tests/Unit/Component/ActivityAnalytics/Service/ActivityAnalyticsServiceTest.php | 40 +++\n tests/Unit/Component/AskAnything/AskAnythingPromptServiceTest.php | 26 ++\n tests/Unit/Component/Transcription/Job/FinishTranscriptionJobTest.php | 276 ++++++++++++++++\n tests/Unit/Component/Transcription/TranscriptionProcessor/Gong/GongTest.php | 375 +++++++++++++++++++++\n tests/Unit/Component/Twilio/Service/SoftPhoneServiceTest.php | 1014 +++++++++++++++++++++++++++++++++++++++++++++++++++++++--\n tests/Unit/Console/Commands/Reports/AutomatedReportsCommandTest.php | 157 ++++++++-\n tests/Unit/Events/Activities/Audio/RecordingEventTest.php | 72 ++++\n tests/Unit/Events/Activities/Softphone/EndedTest.php | 86 +++++\n tests/Unit/Events/Activities/Softphone/SoftphoneEventTest.php | 88 +++++\n tests/Unit/Events/Activities/Softphone/StartedTest.php | 86 +++++\n tests/Unit/Http/Controllers/Kiosk/AutomatedReportsControllerTest.php | 99 ++++++\n tests/Unit/Http/Transformers/ActivityTransformerTest.php | 5 +-\n tests/Unit/Http/Transformers/PartnerTransformerTest.php | 34 ++\n tests/Unit/Interactions/Settings/Teams/CreateTeamTest.php | 49 +++\n tests/Unit/Jobs/AutomatedReports/RequestGenerateAskJiminnyReportJobTest.php | 106 +++++-\n tests/Unit/Jobs/AutomatedReports/SendReportExpiringSoonMailJobTest.php | 205 ++++++++++++\n tests/Unit/Jobs/AutomatedReports/SendReportNotGeneratedMailJobTest.php | 188 +++++++++++\n tests/Unit/Jobs/Crm/ImportOpportunityBatchTest.php | 2 +-\n tests/Unit/Jobs/Team/SyncToIntercomTest.php | 6 +\n tests/Unit/Listeners/Teams/SyncIntercomCompanyTest.php | 59 ++++\n tests/Unit/Listeners/Teams/UpdateSalesforceAccountTest.php | 11 +-\n tests/Unit/Listeners/Users/SyncIntercomTest.php | 59 ++++\n tests/Unit/Mail/Reports/ReportNotGeneratedTest.php | 166 ++++++++++\n tests/Unit/Models/PartnerTest.php | 28 ++\n tests/Unit/Repositories/AutomatedReportsRepositoryTest.php | 68 ++++\n tests/Unit/Services/Activity/MeetingBotServiceRequestRecordingToStopTest.php | 14 +-\n tests/Unit/Services/ActivityServiceTest.php | 391 ++++++++++++++++++++++\n tests/Unit/Services/Crm/Hubspot/ServiceResponseNormalizeTest.php | 68 ++--\n tests/Unit/Services/Kiosk/AutomatedReports/AskJiminnyReportActivityServiceTest.php | 48 +--\n tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceActivitiesCountTest.php | 16 +-\n tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceReportGenerationTest.php | 24 +-\n tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceTest.php | 130 ++++++++\n tests/Unit/Services/KioskServiceTest.php | 8 +\n tests/Unit/Services/Webhook/Triggers/AiScorecardCompletedTriggerTest.php | 6 +-\n tests/Unit/UseCases/TeamInsights/RecordingOutcomeTextResolverTest.php | 119 +++++++\n tests/Unit/UseCases/TeamInsights/StrictConsentColumnResolverTest.php | 108 ++++++\n tests/Unit/UseCases/TeamInsights/TeamConversationsExportTest.php | 342 ++++++++++++++-----\n 186 files changed, 8538 insertions(+), 1233 deletions(-)\n create mode 100644 app/Component/Twilio/TwilioRepository.php\n delete mode 100644 app/Console/Commands/CoachingFeedbacksUpdateEsActivities.php\n create mode 100644 app/Console/Commands/RunAiCallScoringForUntypedActivitiesCommand.php\n delete mode 100644 app/Console/Commands/UpdateActivitiesAverageScoreExcludingFeedbacksNotSetVisibleToAll.php\n create mode 100644 app/Http/Controllers/Kiosk/PartnersController.php\n create mode 100644 app/Jobs/AutomatedReports/SendReportExpiringSoonMailJob.php\n create mode 100644 app/Jobs/AutomatedReports/SendReportNotGeneratedMailJob.php\n create mode 100644 app/Mail/Reports/AskJiminnyReportExpiringMail.php\n create mode 100644 app/Mail/Reports/ReportNotGenerated.php\n delete mode 100644 app/Models/ElasticSearch/SharedDocumentDeleteTrait.php\n create mode 100644 app/UseCases/TeamInsights/ConversationRowMapper.php\n create mode 100644 app/UseCases/TeamInsights/RecordingOutcomeTextResolver.php\n create mode 100644 app/UseCases/TeamInsights/StrictConsentColumnResolver.php\n create mode 100644 database/migrations/2026_04_14_000000_add_rockeed_partner.php\n create mode 100644 database/migrations/2026_04_22_000000_add_success_email_to_partners.php\n create mode 100644 database/migrations/2026_04_27_000000_add_label_to_partners.php\n create mode 100644 database/migrations/2026_04_29_105053_move_ask_jiminny_reports_to_grow_tier.php\n create mode 100644 front-end/src/__mocks__/kit/endpoints/automated-reports-promo.js\n create mode 100644 front-end/src/apps/ai-reports-promo.js\n create mode 100644 front-end/src/components/AiReports/AiReportsPromo.vue\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/AutomatedReportsPromo.vue\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/PromoCard.vue\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/WhyItMattersCard.vue\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/AutomatedReportsPromo.spec.js\n create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/__snapshots__/automated-reports-promo.output.html\n create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/PanoramaReportsPromo.vue\n create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/PanoramaReportsPromo.spec.js\n create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/__snapshots__/panorama-reports-promo.output.html\n create mode 100644 front-end/src/components/Settings/Kiosk/modals/EditTeamModal/__tests__/EditTeamModal.spec.js\n create mode 100644 front-end/src/components/Settings/Kiosk/shared/Navigation/__tests__/Navigation.spec.js\n create mode 100644 front-end/src/components/layout/Sidebar/__tests__/HelpMenu.spec.js\n create mode 100644 front-end/src/components/layout/Sidebar/__tests__/useAiReportsSidebarButton.spec.js\n create mode 100644 front-end/src/components/layout/Sidebar/useAiReportsSidebarButton.js\n create mode 100644 front-end/src/store/modules/platform/__tests__/getters.spec.js\n create mode 100644 public/pdf/exec-reports/com/coaching-profiles.pdf\n create mode 100644 public/pdf/exec-reports/com/exec-summary.pdf\n create mode 100644 public/pdf/exec-reports/com/loss-report.pdf\n create mode 100644 public/pdf/exec-reports/com/product-feedback.pdf\n create mode 100644 public/pdf/exec-reports/eu/coaching-profiles.pdf\n create mode 100644 public/pdf/exec-reports/eu/exec-summary.pdf\n create mode 100644 public/pdf/exec-reports/eu/loss-report.pdf\n create mode 100644 public/pdf/exec-reports/eu/product-feedback.pdf\n create mode 100644 resources/views/emails/reports/ask-jiminny-report-expiring.blade.php\n create mode 100644 resources/views/emails/reports/report-not-generated.blade.php\n create mode 100644 tests/Unit/Component/Transcription/Job/FinishTranscriptionJobTest.php\n create mode 100644 tests/Unit/Component/Transcription/TranscriptionProcessor/Gong/GongTest.php\n create mode 100644 tests/Unit/Events/Activities/Audio/RecordingEventTest.php\n create mode 100644 tests/Unit/Events/Activities/Softphone/EndedTest.php\n create mode 100644 tests/Unit/Events/Activities/Softphone/SoftphoneEventTest.php\n create mode 100644 tests/Unit/Events/Activities/Softphone/StartedTest.php\n create mode 100644 tests/Unit/Http/Transformers/PartnerTransformerTest.php\n create mode 100644 tests/Unit/Jobs/AutomatedReports/SendReportExpiringSoonMailJobTest.php\n create mode 100644 tests/Unit/Jobs/AutomatedReports/SendReportNotGeneratedMailJobTest.php\n create mode 100644 tests/Unit/Listeners/Teams/SyncIntercomCompanyTest.php\n create mode 100644 tests/Unit/Listeners/Users/SyncIntercomTest.php\n create mode 100644 tests/Unit/Mail/Reports/ReportNotGeneratedTest.php\n create mode 100644 tests/Unit/Models/PartnerTest.php\n create mode 100644 tests/Unit/Services/ActivityServiceTest.php\n create mode 100644 tests/Unit/UseCases/TeamInsights/RecordingOutcomeTextResolverTest.php\n create mode 100644 tests/Unit/UseCases/TeamInsights/StrictConsentColumnResolverTest.php\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull \nremote: Enumerating objects: 628, done.\nremote: Counting objects: 100% (331/331), done.\nremote: Compressing objects: 100% (63/63), done.\nremote: Total 628 (delta 280), reused 274 (delta 266), pack-reused 297 (from 1)\nReceiving objects: 100% (628/628), 186.75 KiB | 1.23 MiB/s, done.\nResolving deltas: 100% (391/391), completed with 57 local objects.\nFrom github.com:jiminny/app\n ad2ce76737..12295204cf master -> origin/master\n 14f54b5be2..5e7646e5f9 JY-17836-participant-speeches-in-s3 -> origin/JY-17836-participant-speeches-in-s3\n b167b19973..acba55cf38 JY-20289-api-tests -> origin/JY-20289-api-tests\n f23cfee7c3..e5a3ec5dba JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null -> origin/JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null\n af59d60926..766efba1c5 JY-20395-fix-memory-issue-with-mail-import -> origin/JY-20395-fix-memory-issue-with-mail-import\n * [new branch] JY-20493-smart-instant-nudge-pre-filtering -> origin/JY-20493-smart-instant-nudge-pre-filtering\n 1737b7c528..c57e71e763 JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n * [new branch] JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech\n + ba181441c6...20a74137b0 JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)\n * [new branch] JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue\n * [new branch] JY-20816-calendar-events-diplication -> origin/JY-20816-calendar-events-diplication\n * [new branch] desktop-app -> origin/desktop-app\n 4c4c974e46..185442c26e make-claude-great-again -> origin/make-claude-great-again\n * [new branch] mcp-tools-schemas -> origin/mcp-tools-schemas\nUpdating ad2ce76737..12295204cf\nFast-forward\n app/Component/Encoding/Job/AnalyzeTrackChannelsJob.php | 2 +-\n app/Component/Transcription/TranscriptionProcessor/AssemblyAI/Services/SubmitAudioFileService.php | 66 ++----------------------------------------------------------------\n app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 24 +++++++++++++++++-------\n tests/Unit/Console/Commands/Tracks/CleanupActivityTracksCommandTest.php | 40 +++++++++++++++++++++++++++++-----------\n tests/Unit/fixtures/assembly_ai_transcript_response.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_channel_diarization.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_language.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_language_error.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_language_not_ready.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_language_post.json | 1 -\n tests/Unit/fixtures/assembly_ai_transcript_response_without_utterances.json | 1 -\n 11 files changed, 49 insertions(+), 90 deletions(-)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20818-move-AJ-reports-to-separated-datadog-metric\nSwitched to a new branch 'JY-20818-move-AJ-reports-to-separated-datadog-metric'\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ csfix\ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5663/5663 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n\nFixed 0 of 5663 files in 83.615 seconds, 67.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ ;xd\ndocker exec -it docker_lamp_1 bash -c \"mv /usr/local/etc/php/conf.d/xdebug.ini ~/xdebug.ini\"\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\ndocker exec -it docker_lamp_1 supervisorctl restart all\njiminny-worker-processing-2:jiminny-worker-processing-2_00: stopped\njiminny-worker-processing-3:jiminny-worker-processing-3_00: stopped\njiminny-worker-processing-4:jiminny-worker-processing-4_00: stopped\njiminny-worker-processing-5:jiminny-worker-processing-5_00: stopped\njiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: stopped\nworker-analytics:worker-analytics_00: stopped\nworker-crm-update:worker-crm-update_00: stopped\nworker-download:worker-download_00: stopped\nworker-nudges:worker-nudges_00: stopped\nartisan-schedule:artisan-schedule_00: stopped\nworker-calendar:worker-calendar_00: stopped\nworker-crm-sync:worker-crm-sync_00: stopped\njiminny-worker-processing-1:jiminny-worker-processing-1_00: stopped\nworker:worker_00: stopped\nworker-emails:worker-emails_00: stopped\nworker-audio:worker-audio_00: stopped\nworker-conferences:worker-conferences_00: stopped\nworker-es-update:worker-es-update_00: stopped\nartisan-schedule:artisan-schedule_00: started\njiminny-worker-processing-1:jiminny-worker-processing-1_00: started\njiminny-worker-processing-2:jiminny-worker-processing-2_00: started\njiminny-worker-processing-3:jiminny-worker-processing-3_00: started\njiminny-worker-processing-4:jiminny-worker-processing-4_00: started\njiminny-worker-processing-5:jiminny-worker-processing-5_00: started\njiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: started\nworker:worker_00: started\nworker-analytics:worker-analytics_00: started\nworker-audio:worker-audio_00: started\nworker-calendar:worker-calendar_00: started\nworker-conferences:worker-conferences_00: started\nworker-crm-sync:worker-crm-sync_00: started\nworker-crm-update:worker-crm-update_00: started\nworker-download:worker-download_00: started\nworker-emails:worker-emails_00: started\nworker-es-update:worker-es-update_00: started\nworker-nudges:worker-nudges_00: started\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\ndocker exec -it docker_lamp_1 php -v\nPHP 8.3.30 (cli) (built: Mar 16 2026 22:32:32) (NTS)\nCopyright (c) The PHP Group\nZend Engine v4.3.30, Copyright (c) Zend Technologies\n with Zend OPcache v8.3.30, Copyright (c), by Zend Technologies\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ csfix\ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5663/5663 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n\nFixed 0 of 5663 files in 42.875 seconds, 60.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ git status\nOn branch master\nYour branch is up to date with 'origin/master'.\n\nChanges not staged for commit:\n (use \"git add <file>...\" to update what will be committed)\n (use \"git restore <file>...\" to discard changes in working directory)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tmodified: .env.local\n\nUntracked files:\n (use \"git add <file>...\" to include in what will be committed)\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.nikilocal\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\t.env.other\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tWEBHOOK_FILTERING_IMPLEMENTATION.md\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tapp/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tids.txt\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\tpublic/favicon.ico\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\traw_sql_query.sql\n\u0000\u0000\u0000\u0000\u0000\u0000\u0000\ttests/Unit/Policies/CanAccessAiReportsTest.php\n\nno changes added to commit (use \"git add\" and/or \"git commit -a\")\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull\nremote: Enumerating objects: 15, done.\nremote: Counting objects: 100% (15/15), done.\nremote: Compressing objects: 100% (2/2), done.\nremote: Total 15 (delta 13), reused 15 (delta 13), pack-reused 0 (from 0)\nUnpacking objects: 100% (15/15), 1.28 KiB | 72.00 KiB/s, done.\nFrom github.com:jiminny/app\n c57e71e763..8743fea32e JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall\n * [new branch] JY-20819-increase-download-transctip-rate-limit -> origin/JY-20819-increase-download-transctip-rate-limit\nAlready up to date.\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull \nremote: Enumerating objects: 180, done.\nremote: Counting objects: 100% (179/179), done.\nremote: Compressing objects: 100% (55/55), done.\nremote: Total 180 (delta 127), reused 165 (delta 119), pack-reused 1 (from 1)\nReceiving objects: 100% (180/180), 57.50 KiB | 2.74 MiB/s, done.\nResolving deltas: 100% (127/127), completed with 47 local objects.\nFrom github.com:jiminny/app\n 12295204cf..35f036ace6 master -> origin/master\n * [new branch] JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5\n 5f21965da8..497fbc85c2 JY-20493-smart-instant-nudge-pre-filtering -> origin/JY-20493-smart-instant-nudge-pre-filtering\n f029263118..6ed9e2bb13 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue\n * [new branch] JY-20817-fix-deleting-s3-directories -> origin/JY-20817-fix-deleting-s3-directories\n * [new branch] JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration\n + ca92730ec5...2c8a1d0856 desktop-app -> origin/desktop-app (forced update)\n 8425d4e0de..89b45ec8b0 mcp-tools-schemas -> origin/mcp-tools-schemas\nUpdating 12295204cf..35f036ace6\nFast-forward\n app/Component/Datadog/Constants.php | 1 +\n app/Providers/RouteServiceProvider.php | 2 +-\n app/Services/Kiosk/AutomatedReports/AutomatedReportsCallbackService.php | 13 +++++++++++++\n tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsCallbackServiceTest.php | 54 +++++++++++++++++++++++++++++++++++++++++++++++-------\n 4 files changed, 62 insertions(+), 8 deletions(-)\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ gbr \n* master\n JY-20818-move-AJ-reports-to-separated-datadog-metric\n JY-20773-fix-automated-reports-user-pilot-tracking\n JY-20157-AJ-report-not-send-notification\n JY-20508-notify-before-AJ-report-expiration\n JY-20372-ai-reports-promotion-pages\n JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null\n JY-20738-debug-AJ-tracking-UP\n a\n JY-18909-automated-reports-ask-jiminny\n JY-20692-fix-integration-app-token-auth-response-change\n JY-20553-debug-crm-sync-delays\n JY-20698-fix-SF-activity-types-on-new-playbook\n JY-20543-AJ-report-tracking\n JY-20384-handle-auto-sync-with-no-access-to-event-type\n JY-20458-ask-jiminny-user-definitions\n JY-19666-fix-import-contacts-account-association\n JY-19666-HS-import-contacts-and-accounts-batch-job\n JY-20458-Ask-Jiminny-Reports\n JY-20200-batch-update-CRM-objects-Salesforce\n JY-19666-HS-webhooks-add-contact-and-company\n JY-20348-trigger-setup-DI-layout-on-team-creation\n JY-20326-refactor-info-message-in-command\n JY-20317-fix-auto-log-delay-issue-on-all-channels-disabled\n JY-20312-remove-on-update-change-last-synced-at-crm-configurations\n JY-20306-SF-skip-auto-sync-for-task-based-playbook\n JY-20192-remove-deleted-team-from-saved-search-filters\n JY-20197-import-opportunity-batch-job\n JY-20293-enable-status-field-for-pipedrive-deals\n JY-20191-remove-commands-interactive-prompts\n JY-20118-change-default-sync-strategy\n JY-20183-add-cache-on-auto-log-delay\n JY-20197-add-import-opportunity-batch-job\n 20118-hs-opportunity-make-webhook-strategy-default\n JY-20118-make-default-hs-opportunity-sync-strategy-webhook-based\n JY-20196-handle-opportunity-without-note\n JY-20118-improve-opportunity-import\n JY-20189-handle-activity-search-on-deleted-groups\n JY-20160\n JY-20145-filter-out-converted-leads-when-matching\n JY-20150-skip-push-summary-on-summary-ready-if-autolog\n JY-20132-fix-note-encoding\n JY-19792-clean-logs\n JY-20117-fix-sync-profile-fields-on-empty-fields\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20725-handle-HS-search-rate-limit \nSwitched to a new branch 'JY-20725-handle-HS-search-rate-limit'\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ ;xd\ndocker exec -it docker_lamp_1 bash -c \"mv /usr/local/etc/php/conf.d/xdebug.ini ~/xdebug.ini\"\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\ndocker exec -it docker_lamp_1 supervisorctl restart all\njiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: stopped\njiminny-worker-processing-2:jiminny-worker-processing-2_00: stopped\njiminny-worker-processing-3:jiminny-worker-processing-3_00: stopped\njiminny-worker-processing-4:jiminny-worker-processing-4_00: stopped\njiminny-worker-processing-5:jiminny-worker-processing-5_00: stopped\nworker-analytics:worker-analytics_00: stopped\nworker-crm-update:worker-crm-update_00: stopped\nworker-download:worker-download_00: stopped\nworker-nudges:worker-nudges_00: stopped\nartisan-schedule:artisan-schedule_00: stopped\nworker-emails:worker-emails_00: stopped\nworker:worker_00: stopped\nworker-calendar:worker-calendar_00: stopped\njiminny-worker-processing-1:jiminny-worker-processing-1_00: stopped\nworker-crm-sync:worker-crm-sync_00: stopped\nworker-audio:worker-audio_00: stopped\nworker-conferences:worker-conferences_00: stopped\nworker-es-update:worker-es-update_00: stopped\nartisan-schedule:artisan-schedule_00: started\njiminny-worker-processing-1:jiminny-worker-processing-1_00: started\njiminny-worker-processing-2:jiminny-worker-processing-2_00: started\njiminny-worker-processing-3:jiminny-worker-processing-3_00: started\njiminny-worker-processing-4:jiminny-worker-processing-4_00: started\njiminny-worker-processing-5:jiminny-worker-processing-5_00: started\njiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: started\nworker:worker_00: started\nworker-analytics:worker-analytics_00: started\nworker-audio:worker-audio_00: started\nworker-calendar:worker-calendar_00: started\nworker-conferences:worker-conferences_00: started\nworker-crm-sync:worker-crm-sync_00: started\nworker-crm-update:worker-crm-update_00: started\nworker-download:worker-download_00: started\nworker-emails:worker-emails_00: started\nworker-es-update:worker-es-update_00: started\nworker-nudges:worker-nudges_00: started\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\ndocker exec -it docker_lamp_1 php -v\nPHP 8.3.30 (cli) (built: Mar 16 2026 22:32:32) (NTS)\nCopyright (c) The PHP Group\nZend Engine v4.3.30, Copyright (c) Zend Technologies\n with Zend OPcache v8.3.30, Copyright (c), by Zend Technologies\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ csfix\ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5666/5666 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n 1) app/Jobs/Crm/MatchActivityCrmData.php (ordered_class_elements)\n ---------- begin diff ----------\n--- /home/jiminny/app/Jobs/Crm/MatchActivityCrmData.php\n+++ /home/jiminny/app/Jobs/Crm/MatchActivityCrmData.php\n@@ -29,24 +29,14 @@\n use InteractsWithQueue;\n use SerializesModels;\n \n+ private const int RETRY_WINDOW_MINUTES = 120;\n+\n public int $maxExceptions = 3;\n \n- private const int RETRY_WINDOW_MINUTES = 120;\n-\n private int $activityId;\n private ?Configuration $fromConfiguration;\n private bool $remoteSearch;\n \n- public function middleware(): array\n- {\n- return [new HandleHubspotRateLimit()];\n- }\n-\n- public function retryUntil(): \\DateTimeInterface\n- {\n- return now()->addMinutes(self::RETRY_WINDOW_MINUTES);\n- }\n-\n public function __construct(\n int $activityId,\n ?Configuration $fromConfiguration = null,\n@@ -57,6 +47,16 @@\n $this->remoteSearch = $remoteSearch;\n \n $this->onQueue(Constants::QUEUE_ANALYTICS_LOW);\n+ }\n+\n+ public function middleware(): array\n+ {\n+ return [new HandleHubspotRateLimit()];\n+ }\n+\n+ public function retryUntil(): \\DateTimeInterface\n+ {\n+ return now()->addMinutes(self::RETRY_WINDOW_MINUTES);\n }\n \n public function uniqueId(): string\n\n ----------- end diff -----------\n\n 2) app/Services/Crm/Hubspot/HubspotClientInterface.php (phpdoc_order, phpdoc_separation)\n ---------- begin diff ----------\n--- /home/jiminny/app/Services/Crm/Hubspot/HubspotClientInterface.php\n+++ /home/jiminny/app/Services/Crm/Hubspot/HubspotClientInterface.php\n@@ -46,9 +46,11 @@\n *\n * @param string $objectType The object type ('deals', 'companies', 'contacts', 'calls')\n * @param array<string, mixed> $payload The search payload with filters, sorts, properties, etc.\n- * @return array The search response with 'results', 'total', 'paging' keys\n+ *\n * @throws RateLimitException When rate limit is hit\n * @throws HubspotException On API errors\n+ *\n+ * @return array The search response with 'results', 'total', 'paging' keys\n */\n public function search(string $objectType, array $payload): array;\n }\n\n ----------- end diff -----------\n\n 3) app/Services/Crm/Hubspot/Client.php (phpdoc_order, phpdoc_separation, blank_line_before_statement)\n ---------- begin diff ----------\n--- /home/jiminny/app/Services/Crm/Hubspot/Client.php\n+++ /home/jiminny/app/Services/Crm/Hubspot/Client.php\n@@ -69,10 +69,12 @@\n * the cache near expiry are not delayed longer than necessary.\n *\n * @template T\n+ *\n * @param callable(): T $apiCall The API call to execute\n- * @return T The result of the API call\n *\n * @throws RateLimitException When rate limit is hit or cached rate limit is active\n+ *\n+ * @return T The result of the API call\n */\n private function executeRequest(callable $apiCall)\n {\n@@ -81,6 +83,7 @@\n $cachedExpiresAt = Redis::get($cacheKey);\n if (is_string($cachedExpiresAt) && is_numeric($cachedExpiresAt)) {\n $remaining = max(1, (int) $cachedExpiresAt - time());\n+\n throw new RateLimitException(\n 'Hubspot rate limit (cached circuit-breaker)',\n $remaining,\n@@ -232,9 +235,11 @@\n *\n * @param string $objectType The object type ('deals', 'companies', 'contacts', 'calls')\n * @param array<string, mixed> $payload The search payload with filters, sorts, properties, etc.\n- * @return array The search response with 'results', 'total', 'paging' keys\n+ *\n * @throws RateLimitException When rate limit is hit\n * @throws HubspotException On API errors\n+ *\n+ * @return array The search response with 'results', 'total', 'paging' keys\n */\n public function search(string $objectType, array $payload): array\n {\n\n ----------- end diff -----------\n\n 4) app/Console/Commands/JiminnyDebugCommand.php (statement_indentation)\n ---------- begin diff ----------\n--- /home/jiminny/app/Console/Commands/JiminnyDebugCommand.php\n+++ /home/jiminny/app/Console/Commands/JiminnyDebugCommand.php\n@@ -359,11 +359,11 @@\n $crmService = $crmResolver->prepareCrmService();\n \n for ($i = 0 ; $i < 3; $i++) {\n-// if ($i % 25 === 0) {\n-// $this->info(\"Syncing opportunity {$i}\");\n- $this->info(\"Matching contact {$i}\");\n-// }\n-// $crmService->syncOpportunity('374720564');\n+ // if ($i % 25 === 0) {\n+ // $this->info(\"Syncing opportunity {$i}\");\n+ $this->info(\"Matching contact {$i}\");\n+ // }\n+ // $crmService->syncOpportunity('374720564');\n $crmService->matchByName('Robot');\n }\n }\n\n ----------- end diff -----------\n\n\nFixed 4 of 5666 files in 146.870 seconds, 60.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ csfix \ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5666/5666 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n\nFixed 0 of 5666 files in 106.192 seconds, 60.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ csfix\ndocker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff \nPHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.\nPHP runtime: 8.3.30\nRunning analysis on 7 cores with 10 files per process.\nParallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!\nLoaded config default from \".php-cs-fixer.dist.php\".\n 5666/5666 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%\n\n\nFixed 0 of 5666 files in 66.457 seconds, 60.00 MB memory used\n\nWhat's next:\n Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1\n Learn more at https://docs.docker.com/go/debug-cli/\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"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":0.004166667,"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 (docker)","depth":2,"bounds":{"left":0.140625,"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":0.14479166,"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":0.28125,"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":0.28541666,"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":0.421875,"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":0.42604166,"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":0.5625,"top":0.05888889,"width":0.14027777,"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":0.56666666,"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":0.7027778,"top":0.05888889,"width":0.14027777,"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":0.70694447,"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":0.84305555,"top":0.05888889,"width":0.14027777,"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":0.8472222,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.9548611,"top":0.032222223,"width":0.03888889,"height":0.018888889},"on_screen":true,"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"APP (-zsh)","depth":1,"bounds":{"left":0.47430557,"top":0.033333335,"width":0.05138889,"height":0.017777778},"on_screen":true,"role_description":"text"}]...
|
-5826347064466025141
|
-2292063823433160584
|
visual_change
|
accessibility
|
NULL
|
Last login: Thu May 7 09:44:56 on ttys007
Poetry Last login: Thu May 7 09:44:56 on ttys007
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/app or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20773-fix-automated-reports-user-pilot-tracking) $ git status
On branch master
Your branch is up to date with 'origin/master'.
Changes not staged for commit:
(use "git add <file>..." to update what will be committed)
(use "git restore <file>..." to discard changes in working directory)
modified: .env.local
modified: app/Console/Commands/JiminnyDebugCommand.php
modified: app/Jobs/Team/SyncToIntercom.php
modified: app/Services/PlaybackService.php
modified: config/logging.php
modified: resources/views/partials/crm/push-summary/html-assembly.blade.php
Untracked files:
(use "git add <file>..." to include in what will be committed)
.env.nikilocal
.env.other
WEBHOOK_FILTERING_IMPLEMENTATION.md
app/Console/Commands/Crm/Hubspot/SimulateWebhooksCommand.php
app/Console/Commands/Reports/CreateMockAskJiminnyReportResultCommand.php
ids.txt
public/favicon.ico
raw_sql_query.sql
tests/Unit/Policies/CanAccessAiReportsTest.php
no changes added to commit (use "git add" and/or "git commit -a")
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 1482, done.
remote: Counting objects: 100% (481/481), done.
remote: Compressing objects: 100% (191/191), done.
remote: Total 1482 (delta 349), reused 305 (delta 289), pack-reused 1001 (from 4)
Receiving objects: 100% (1482/1482), 1017.97 KiB | 1.44 MiB/s, done.
Resolving deltas: 100% (877/877), completed with 96 local objects.
From github.com:jiminny/app
83b628967a..ad2ce76737 master -> origin/master
1ee8cbcb7b..14f54b5be2 JY-17836-participant-speeches-in-s3 -> origin/JY-17836-participant-speeches-in-s3
5662c3b32f..b167b19973 JY-20289-api-tests -> origin/JY-20289-api-tests
b40408cfad..f23cfee7c3 JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null -> origin/JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null
* [new branch] JY-20395-fix-memory-issue-with-mail-import -> origin/JY-20395-fix-memory-issue-with-mail-import
* [new branch] JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
* [new branch] JY-20662-remove-word-boost -> origin/JY-20662-remove-word-boost
* [new branch] JY-20742-mcp-poc -> origin/JY-20742-mcp-poc
* [new branch] make-claude-great-again -> origin/make-claude-great-again
* [new branch] secfix/composer-20260507 -> origin/secfix/composer-20260507
* [new branch] secfix/npm-20260507 -> origin/secfix/npm-20260507
Updating 83b628967a..ad2ce76737
error: Your local changes to the following files would be overwritten by merge:
app/Jobs/Team/SyncToIntercom.php
resources/views/partials/crm/push-summary/html-assembly.blade.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 83b628967a..ad2ce76737
error: Your local changes to the following files would be overwritten by merge:
app/Jobs/Team/SyncToIntercom.php
resources/views/partials/crm/push-summary/html-assembly.blade.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 83b628967a..ad2ce76737
error: Your local changes to the following files would be overwritten by merge:
app/Jobs/Team/SyncToIntercom.php
Please commit your changes or stash them before you merge.
Aborting
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
Updating 83b628967a..ad2ce76737
Fast-forward
.cursor/rules/frontend-conventions.mdc | 23 ++
.env.production-eu | 2 +-
.env.staging | 2 +-
Makefile | 10 +
app/Component/ActivityAnalytics/Service/ActivityAnalyticsService.php | 6 +-
app/Component/AiAutomation/Repositories/AiTemplateFieldsRepository.php | 32 +-
app/Component/AiCallScoring/Repositories/AiScorecardRepository.php | 56 ++--
app/Component/AskAnything/AskAnythingPromptService.php | 3 +
app/Component/Transcription/Job/FinishTranscriptionJob.php | 37 ++-
app/Component/Transcription/TranscriptionProcessor/Gong/Gong.php | 18 +-
app/Component/Twilio/Conference/ConferenceManager/SoftPhoneManager.php | 4 +-
app/Component/Twilio/Service/SoftPhoneService.php | 124 ++++---
app/Component/Twilio/TwilioRepository.php | 27 ++
app/Console/Commands/CoachingFeedbacksUpdateEsActivities.php | 59 ----
app/Console/Commands/Reports/AutomatedReportsCommand.php | 122 +++++--
app/Console/Commands/RunAiCallScoringForUntypedActivitiesCommand.php | 200 ++++++++++++
app/Console/Commands/UpdateActivitiesAverageScoreExcludingFeedbacksNotSetVisibleToAll.php | 60 ----
app/Console/Commands/Users/SyncToIntercom.php | 4 +-
app/Console/Kernel.php | 3 +-
app/Contracts/ES/Events/UpdateMultipleEntities.php | 4 -
app/Contracts/ES/Events/UpdateSingleEntity.php | 4 -
app/Contracts/Repositories/TeamRepository.php | 3 +-
app/Events/Activities/ActivityUpdated.php | 10 +-
app/Events/Activities/Audio/RecordingEvent.php | 6 +-
app/Events/Activities/Softphone/Ended.php | 8 +-
app/Events/Activities/Softphone/SoftphoneEvent.php | 24 +-
app/Events/Activities/Softphone/Started.php | 8 +-
app/Http/Controllers/API/ActivityController.php | 17 +-
app/Http/Controllers/API/SoftphoneController.php | 9 +-
app/Http/Controllers/API/UserAutomatedReports/UserAutomatedReportsController.php | 19 +-
app/Http/Controllers/API/V2/AskAnythingController.php | 2 +-
app/Http/Controllers/Auth/SocialController.php | 6 +-
app/Http/Controllers/Kiosk/AutomatedReportsController.php | 38 ++-
app/Http/Controllers/Kiosk/OrganizationsController.php | 8 +-
app/Http/Controllers/Kiosk/PartnersController.php | 46 +++
app/Http/Controllers/Kiosk/SearchController.php | 8 +
app/Http/Controllers/Kiosk/Teams/OnboardController.php | 24 +-
app/Http/Controllers/Settings/Teams/IntegrationController.php | 6 +-
app/Http/Controllers/TeamSetupController.php | 4 +-
app/Http/Controllers/Telephony/TextMessaging/MessageController.php | 12 +-
app/Http/Controllers/Telephony/TextMessaging/WebhookController.php | 18 +-
app/Http/Requests/Settings/Teams/CreateTeamRequest.php | 1 +
app/Http/Requests/Settings/Teams/EditTeamRequest.php | 1 +
app/Http/Transformers/ActivityTransformer.php | 4 +-
app/Http/Transformers/OnDemandActivitiesTransformer.php | 2 +-
app/Http/Transformers/PartnerTransformer.php | 1 +
app/Http/Transformers/StageTransformer.php | 6 +-
app/Http/Transformers/UserTransformer.php | 11 +-
app/Interactions/Settings/Teams/CreateTeam.php | 3 +
app/Jobs/AutomatedReports/RequestGenerateAskJiminnyReportJob.php | 80 ++++-
app/Jobs/AutomatedReports/SendReportExpiringSoonMailJob.php | 119 +++++++
app/Jobs/AutomatedReports/SendReportNotGeneratedMailJob.php | 89 +++++
app/Jobs/Crm/Hubspot/ImportBatchJobTrait.php | 12 +-
app/Jobs/Crm/UpdateStage.php | 3 +
app/Jobs/Team/SyncToIntercom.php | 7 +-
app/Listeners/Teams/SyncIntercomCompany.php | 5 +-
app/Listeners/Teams/UpdateSalesforceAccount.php | 8 +-
app/Listeners/Users/SyncIntercom.php | 5 +-
app/Mail/Reports/AskJiminnyReportExpiringMail.php | 40 +++
app/Mail/Reports/ReportNotGenerated.php | 41 +++
app/Models/Activity.php | 25 +-
app/Models/Activity/Question.php | 14 +-
app/Models/Activity/Search.php | 7 +
app/Models/AskAnything/AskAnythingPrompt.php | 6 +
app/Models/AutomatedReport.php | 10 +
app/Models/CoachingFeedback.php | 44 ++-
app/Models/ElasticSearch/ActivityElasticSearchTrait.php | 86 +----
app/Models/ElasticSearch/OpportunityElasticSearchTrait.php | 71 ----
app/Models/ElasticSearch/SharedDocumentDeleteTrait.php | 27 --
app/Models/Partner.php | 13 +
app/Models/Playlist/Activity.php | 14 +-
app/Notifications/OwnerInvitedToTrial.php | 14 +-
app/Policies/UserPolicy.php | 16 +-
app/Queue/Worker/Worker.php | 3 +-
app/Repositories/ActivityRepository.php | 13 +-
app/Repositories/AutomatedReportsRepository.php | 42 ++-
app/Repositories/TeamRepository.php | 21 +-
app/Repositories/UserRepository.php | 2 +-
app/Services/Activity/MeetingBotService.php | 8 +-
app/Services/ActivityService.php | 111 ++-----
app/Services/Crm/Hubspot/Service.php | 36 +-
app/Services/Crm/Hubspot/ServiceTraits/OpportunitySyncTrait.php | 2 +-
app/Services/Kiosk/AutomatedReports/AskJiminnyReportActivityService.php | 5 +-
app/Services/Kiosk/AutomatedReports/AutomatedReportsService.php | 49 +--
app/Services/Kiosk/KioskService.php | 7 +-
app/Services/Webhook/Triggers/AiScorecardCompletedTrigger.php | 13 +-
app/UseCases/TeamInsights/ConversationRowMapper.php | 78 +++++
app/UseCases/TeamInsights/RecordingOutcomeTextResolver.php | 68 ++++
app/UseCases/TeamInsights/StrictConsentColumnResolver.php | 45 +++
app/UseCases/TeamInsights/TeamConversationsExport.php | 154 ++++-----
composer.json | 1 -
composer.lock | 95 +-----
config/secure-headers.php | 5 +-
database/mappings/mapping_activities.json | 16 +
database/migrations/2026_04_14_000000_add_rockeed_partner.php | 51 +++
database/migrations/2026_04_22_000000_add_success_email_to_partners.php | 26 ++
database/migrations/2026_04_27_000000_add_label_to_partners.php | 28 ++
database/migrations/2026_04_29_105053_move_ask_jiminny_reports_to_grow_tier.php | 79 +++++
front-end/package.json | 5 +-
front-end/src/__mocks__/jiminny.js | 4 +-
front-end/src/__mocks__/kit/endpoints/automated-reports-promo.js | 9 +
front-end/src/__mocks__/setup.js | 1 +
front-end/src/apps/ai-reports-promo.js | 22 ++
front-end/src/components/AiReports/AiReportsPromo.vue | 22 ++
front-end/src/components/AiReports/AutomatedReportsPromo/AutomatedReportsPromo.vue | 190 +++++++++++
front-end/src/components/AiReports/AutomatedReportsPromo/PromoCard.vue | 111 +++++++
front-end/src/components/AiReports/AutomatedReportsPromo/WhyItMattersCard.vue | 103 ++++++
front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/AutomatedReportsPromo.spec.js | 98 ++++++
.../src/components/AiReports/AutomatedReportsPromo/__tests__/__snapshots__/automated-reports-promo.output.html | 283 ++++++++++++++++
front-end/src/components/AiReports/Manage/ManageAiReports.vue | 8 +-
front-end/src/components/AiReports/PanoramaReportsPromo/PanoramaReportsPromo.vue | 228 +++++++++++++
front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/PanoramaReportsPromo.spec.js | 71 ++++
.../src/components/AiReports/PanoramaReportsPromo/__tests__/__snapshots__/panorama-reports-promo.output.html | 217 ++++++++++++
front-end/src/components/AiReports/constants.js | 7 +
front-end/src/components/Settings/Kiosk/OrganizationSearch/Organizations.vue | 1 +
front-end/src/components/Settings/Kiosk/__mocks__/Jiminny.js | 1 +
front-end/src/components/Settings/Kiosk/modals/EditTeamModal/EditTeamModal.vue | 43 ++-
front-end/src/components/Settings/Kiosk/modals/EditTeamModal/__tests__/EditTeamModal.spec.js | 203 ++++++++++++
front-end/src/components/Settings/Kiosk/shared/Navigation/Navigation.vue | 3 +
front-end/src/components/Settings/Kiosk/shared/Navigation/__tests__/Navigation.spec.js | 67 ++++
front-end/src/components/TeamInsights/CoachingFrameworks/AICallScoring/aiCallScoringOverTime.ts | 4 +-
front-end/src/components/TeamInsights/CoachingFrameworks/UsersList.vue | 2 +-
front-end/src/components/layout/Sidebar/HelpMenu.vue | 25 +-
front-end/src/components/layout/Sidebar/Sidebar.vue | 27 +-
front-end/src/components/layout/Sidebar/__tests__/HelpMenu.spec.js | 94 ++++++
front-end/src/components/layout/Sidebar/__tests__/__snapshots__/Sidebar.spec.js.snap | 4 +-
front-end/src/components/layout/Sidebar/__tests__/useAiReportsSidebarButton.spec.js | 204 ++++++++++++
front-end/src/components/layout/Sidebar/useAiReportsSidebarButton.js | 49 +++
front-end/src/main.js | 1 +
front-end/src/store/modules/TeamInsights/util.js | 1 +
front-end/src/store/modules/platform/__tests__/getters.spec.js | 22 ++
front-end/src/store/modules/platform/getters.js | 3 +
front-end/src/utils/index.js | 11 +
front-end/yarn.lock | 21 +-
phpstan-baseline.neon | 60 ----
public/pdf/exec-reports/com/coaching-profiles.pdf | Bin 0 -> 1531178 bytes
public/pdf/exec-reports/com/exec-summary.pdf | Bin 0 -> 2237381 bytes
public/pdf/exec-reports/com/loss-report.pdf | Bin 0 -> 1955343 bytes
public/pdf/exec-reports/com/product-feedback.pdf | Bin 0 -> 2184417 bytes
public/pdf/exec-reports/eu/coaching-profiles.pdf | Bin 0 -> 1528704 bytes
public/pdf/exec-reports/eu/exec-summary.pdf | Bin 0 -> 2296741 bytes
public/pdf/exec-reports/eu/loss-report.pdf | Bin 0 -> 1955808 bytes
public/pdf/exec-reports/eu/product-feedback.pdf | Bin 0 -> 2184083 bytes
resources/views/emails/reports/ask-jiminny-report-expiring.blade.php | 22 ++
resources/views/emails/reports/report-not-generated.blade.php | 24 ++
resources/views/partials/crm/push-summary/html-assembly.blade.php | 2 +-
routes/api.php | 6 +
routes/web.php | 4 +
tests/Feature/Policies/UserPolicyTest.php | 90 ++++-
tests/Unit/Component/ActivityAnalytics/Service/ActivityAnalyticsServiceTest.php | 40 +++
tests/Unit/Component/AskAnything/AskAnythingPromptServiceTest.php | 26 ++
tests/Unit/Component/Transcription/Job/FinishTranscriptionJobTest.php | 276 ++++++++++++++++
tests/Unit/Component/Transcription/TranscriptionProcessor/Gong/GongTest.php | 375 +++++++++++++++++++++
tests/Unit/Component/Twilio/Service/SoftPhoneServiceTest.php | 1014 +++++++++++++++++++++++++++++++++++++++++++++++++++++++--
tests/Unit/Console/Commands/Reports/AutomatedReportsCommandTest.php | 157 ++++++++-
tests/Unit/Events/Activities/Audio/RecordingEventTest.php | 72 ++++
tests/Unit/Events/Activities/Softphone/EndedTest.php | 86 +++++
tests/Unit/Events/Activities/Softphone/SoftphoneEventTest.php | 88 +++++
tests/Unit/Events/Activities/Softphone/StartedTest.php | 86 +++++
tests/Unit/Http/Controllers/Kiosk/AutomatedReportsControllerTest.php | 99 ++++++
tests/Unit/Http/Transformers/ActivityTransformerTest.php | 5 +-
tests/Unit/Http/Transformers/PartnerTransformerTest.php | 34 ++
tests/Unit/Interactions/Settings/Teams/CreateTeamTest.php | 49 +++
tests/Unit/Jobs/AutomatedReports/RequestGenerateAskJiminnyReportJobTest.php | 106 +++++-
tests/Unit/Jobs/AutomatedReports/SendReportExpiringSoonMailJobTest.php | 205 ++++++++++++
tests/Unit/Jobs/AutomatedReports/SendReportNotGeneratedMailJobTest.php | 188 +++++++++++
tests/Unit/Jobs/Crm/ImportOpportunityBatchTest.php | 2 +-
tests/Unit/Jobs/Team/SyncToIntercomTest.php | 6 +
tests/Unit/Listeners/Teams/SyncIntercomCompanyTest.php | 59 ++++
tests/Unit/Listeners/Teams/UpdateSalesforceAccountTest.php | 11 +-
tests/Unit/Listeners/Users/SyncIntercomTest.php | 59 ++++
tests/Unit/Mail/Reports/ReportNotGeneratedTest.php | 166 ++++++++++
tests/Unit/Models/PartnerTest.php | 28 ++
tests/Unit/Repositories/AutomatedReportsRepositoryTest.php | 68 ++++
tests/Unit/Services/Activity/MeetingBotServiceRequestRecordingToStopTest.php | 14 +-
tests/Unit/Services/ActivityServiceTest.php | 391 ++++++++++++++++++++++
tests/Unit/Services/Crm/Hubspot/ServiceResponseNormalizeTest.php | 68 ++--
tests/Unit/Services/Kiosk/AutomatedReports/AskJiminnyReportActivityServiceTest.php | 48 +--
tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceActivitiesCountTest.php | 16 +-
tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceReportGenerationTest.php | 24 +-
tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsServiceTest.php | 130 ++++++++
tests/Unit/Services/KioskServiceTest.php | 8 +
tests/Unit/Services/Webhook/Triggers/AiScorecardCompletedTriggerTest.php | 6 +-
tests/Unit/UseCases/TeamInsights/RecordingOutcomeTextResolverTest.php | 119 +++++++
tests/Unit/UseCases/TeamInsights/StrictConsentColumnResolverTest.php | 108 ++++++
tests/Unit/UseCases/TeamInsights/TeamConversationsExportTest.php | 342 ++++++++++++++-----
186 files changed, 8538 insertions(+), 1233 deletions(-)
create mode 100644 app/Component/Twilio/TwilioRepository.php
delete mode 100644 app/Console/Commands/CoachingFeedbacksUpdateEsActivities.php
create mode 100644 app/Console/Commands/RunAiCallScoringForUntypedActivitiesCommand.php
delete mode 100644 app/Console/Commands/UpdateActivitiesAverageScoreExcludingFeedbacksNotSetVisibleToAll.php
create mode 100644 app/Http/Controllers/Kiosk/PartnersController.php
create mode 100644 app/Jobs/AutomatedReports/SendReportExpiringSoonMailJob.php
create mode 100644 app/Jobs/AutomatedReports/SendReportNotGeneratedMailJob.php
create mode 100644 app/Mail/Reports/AskJiminnyReportExpiringMail.php
create mode 100644 app/Mail/Reports/ReportNotGenerated.php
delete mode 100644 app/Models/ElasticSearch/SharedDocumentDeleteTrait.php
create mode 100644 app/UseCases/TeamInsights/ConversationRowMapper.php
create mode 100644 app/UseCases/TeamInsights/RecordingOutcomeTextResolver.php
create mode 100644 app/UseCases/TeamInsights/StrictConsentColumnResolver.php
create mode 100644 database/migrations/2026_04_14_000000_add_rockeed_partner.php
create mode 100644 database/migrations/2026_04_22_000000_add_success_email_to_partners.php
create mode 100644 database/migrations/2026_04_27_000000_add_label_to_partners.php
create mode 100644 database/migrations/2026_04_29_105053_move_ask_jiminny_reports_to_grow_tier.php
create mode 100644 front-end/src/__mocks__/kit/endpoints/automated-reports-promo.js
create mode 100644 front-end/src/apps/ai-reports-promo.js
create mode 100644 front-end/src/components/AiReports/AiReportsPromo.vue
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/AutomatedReportsPromo.vue
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/PromoCard.vue
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/WhyItMattersCard.vue
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/AutomatedReportsPromo.spec.js
create mode 100644 front-end/src/components/AiReports/AutomatedReportsPromo/__tests__/__snapshots__/automated-reports-promo.output.html
create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/PanoramaReportsPromo.vue
create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/PanoramaReportsPromo.spec.js
create mode 100644 front-end/src/components/AiReports/PanoramaReportsPromo/__tests__/__snapshots__/panorama-reports-promo.output.html
create mode 100644 front-end/src/components/Settings/Kiosk/modals/EditTeamModal/__tests__/EditTeamModal.spec.js
create mode 100644 front-end/src/components/Settings/Kiosk/shared/Navigation/__tests__/Navigation.spec.js
create mode 100644 front-end/src/components/layout/Sidebar/__tests__/HelpMenu.spec.js
create mode 100644 front-end/src/components/layout/Sidebar/__tests__/useAiReportsSidebarButton.spec.js
create mode 100644 front-end/src/components/layout/Sidebar/useAiReportsSidebarButton.js
create mode 100644 front-end/src/store/modules/platform/__tests__/getters.spec.js
create mode 100644 public/pdf/exec-reports/com/coaching-profiles.pdf
create mode 100644 public/pdf/exec-reports/com/exec-summary.pdf
create mode 100644 public/pdf/exec-reports/com/loss-report.pdf
create mode 100644 public/pdf/exec-reports/com/product-feedback.pdf
create mode 100644 public/pdf/exec-reports/eu/coaching-profiles.pdf
create mode 100644 public/pdf/exec-reports/eu/exec-summary.pdf
create mode 100644 public/pdf/exec-reports/eu/loss-report.pdf
create mode 100644 public/pdf/exec-reports/eu/product-feedback.pdf
create mode 100644 resources/views/emails/reports/ask-jiminny-report-expiring.blade.php
create mode 100644 resources/views/emails/reports/report-not-generated.blade.php
create mode 100644 tests/Unit/Component/Transcription/Job/FinishTranscriptionJobTest.php
create mode 100644 tests/Unit/Component/Transcription/TranscriptionProcessor/Gong/GongTest.php
create mode 100644 tests/Unit/Events/Activities/Audio/RecordingEventTest.php
create mode 100644 tests/Unit/Events/Activities/Softphone/EndedTest.php
create mode 100644 tests/Unit/Events/Activities/Softphone/SoftphoneEventTest.php
create mode 100644 tests/Unit/Events/Activities/Softphone/StartedTest.php
create mode 100644 tests/Unit/Http/Transformers/PartnerTransformerTest.php
create mode 100644 tests/Unit/Jobs/AutomatedReports/SendReportExpiringSoonMailJobTest.php
create mode 100644 tests/Unit/Jobs/AutomatedReports/SendReportNotGeneratedMailJobTest.php
create mode 100644 tests/Unit/Listeners/Teams/SyncIntercomCompanyTest.php
create mode 100644 tests/Unit/Listeners/Users/SyncIntercomTest.php
create mode 100644 tests/Unit/Mail/Reports/ReportNotGeneratedTest.php
create mode 100644 tests/Unit/Models/PartnerTest.php
create mode 100644 tests/Unit/Services/ActivityServiceTest.php
create mode 100644 tests/Unit/UseCases/TeamInsights/RecordingOutcomeTextResolverTest.php
create mode 100644 tests/Unit/UseCases/TeamInsights/StrictConsentColumnResolverTest.php
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 628, done.
remote: Counting objects: 100% (331/331), done.
remote: Compressing objects: 100% (63/63), done.
remote: Total 628 (delta 280), reused 274 (delta 266), pack-reused 297 (from 1)
Receiving objects: 100% (628/628), 186.75 KiB | 1.23 MiB/s, done.
Resolving deltas: 100% (391/391), completed with 57 local objects.
From github.com:jiminny/app
ad2ce76737..12295204cf master -> origin/master
14f54b5be2..5e7646e5f9 JY-17836-participant-speeches-in-s3 -> origin/JY-17836-participant-speeches-in-s3
b167b19973..acba55cf38 JY-20289-api-tests -> origin/JY-20289-api-tests
f23cfee7c3..e5a3ec5dba JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null -> origin/JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null
af59d60926..766efba1c5 JY-20395-fix-memory-issue-with-mail-import -> origin/JY-20395-fix-memory-issue-with-mail-import
* [new branch] JY-20493-smart-instant-nudge-pre-filtering -> origin/JY-20493-smart-instant-nudge-pre-filtering
1737b7c528..c57e71e763 JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
* [new branch] JY-20671-anyvan-twilio-s3-recordings-ftech -> origin/JY-20671-anyvan-twilio-s3-recordings-ftech
+ ba181441c6...20a74137b0 JY-20742-mcp-poc -> origin/JY-20742-mcp-poc (forced update)
* [new branch] JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue
* [new branch] JY-20816-calendar-events-diplication -> origin/JY-20816-calendar-events-diplication
* [new branch] desktop-app -> origin/desktop-app
4c4c974e46..185442c26e make-claude-great-again -> origin/make-claude-great-again
* [new branch] mcp-tools-schemas -> origin/mcp-tools-schemas
Updating ad2ce76737..12295204cf
Fast-forward
app/Component/Encoding/Job/AnalyzeTrackChannelsJob.php | 2 +-
app/Component/Transcription/TranscriptionProcessor/AssemblyAI/Services/SubmitAudioFileService.php | 66 ++----------------------------------------------------------------
app/Console/Commands/Tracks/CleanupActivityTracksCommand.php | 24 +++++++++++++++++-------
tests/Unit/Console/Commands/Tracks/CleanupActivityTracksCommandTest.php | 40 +++++++++++++++++++++++++++++-----------
tests/Unit/fixtures/assembly_ai_transcript_response.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_channel_diarization.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_language.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_language_error.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_language_not_ready.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_language_post.json | 1 -
tests/Unit/fixtures/assembly_ai_transcript_response_without_utterances.json | 1 -
11 files changed, 49 insertions(+), 90 deletions(-)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20818-move-AJ-reports-to-separated-datadog-metric
Switched to a new branch 'JY-20818-move-AJ-reports-to-separated-datadog-metric'
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ csfix
docker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff
PHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.
PHP runtime: 8.3.30
Running analysis on 7 cores with 10 files per process.
Parallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!
Loaded config default from ".php-cs-fixer.dist.php".
5663/5663 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%
Fixed 0 of 5663 files in 83.615 seconds, 67.00 MB memory used
What's next:
Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1
Learn more at [URL_WITH_CREDENTIALS] ~/jiminny/app (JY-20818-move-AJ-reports-to-separated-datadog-metric) $ csfix
docker exec -it docker_lamp_1 ./vendor/bin/php-cs-fixer fix --config=.php-cs-fixer.dist.php -v --using-cache=no --diff
PHP CS Fixer 3.87.1 Alexander by Fabien Potencier, Dariusz Ruminski and contributors.
PHP runtime: 8.3.30
Running analysis on 7 cores with 10 files per process.
Parallel runner is an experimental feature and may be unstable, use it at your own risk. Feedback highly appreciated!
Loaded config default from ".php-cs-fixer.dist.php".
5663/5663 [▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓] 100%
Fixed 0 of 5663 files in 42.875 seconds, 60.00 MB memory used
What's next:
Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1
Learn more at [URL_WITH_CREDENTIALS] ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 15, done.
remote: Counting objects: 100% (15/15), done.
remote: Compressing objects: 100% (2/2), done.
remote: Total 15 (delta 13), reused 15 (delta 13), pack-reused 0 (from 0)
Unpacking objects: 100% (15/15), 1.28 KiB | 72.00 KiB/s, done.
From github.com:jiminny/app
c57e71e763..8743fea32e JY-20606-desktop-app-recall -> origin/JY-20606-desktop-app-recall
* [new branch] JY-20819-increase-download-transctip-rate-limit -> origin/JY-20819-increase-download-transctip-rate-limit
Already up to date.
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ git pull
remote: Enumerating objects: 180, done.
remote: Counting objects: 100% (179/179), done.
remote: Compressing objects: 100% (55/55), done.
remote: Total 180 (delta 127), reused 165 (delta 119), pack-reused 1 (from 1)
Receiving objects: 100% (180/180), 57.50 KiB | 2.74 MiB/s, done.
Resolving deltas: 100% (127/127), completed with 47 local objects.
From github.com:jiminny/app
12295204cf..35f036ace6 master -> origin/master
* [new branch] JY-18091-upgrade-to-php-8-5 -> origin/JY-18091-upgrade-to-php-8-5
5f21965da8..497fbc85c2 JY-20493-smart-instant-nudge-pre-filtering -> origin/JY-20493-smart-instant-nudge-pre-filtering
f029263118..6ed9e2bb13 JY-20808-low-priority-indexing-queue -> origin/JY-20808-low-priority-indexing-queue
* [new branch] JY-20817-fix-deleting-s3-directories -> origin/JY-20817-fix-deleting-s3-directories
* [new branch] JY-20820-es-reindex-stream-model-hydration -> origin/JY-20820-es-reindex-stream-model-hydration
+ ca92730ec5...2c8a1d0856 desktop-app -> origin/desktop-app (forced update)
8425d4e0de..89b45ec8b0 mcp-tools-schemas -> origin/mcp-tools-schemas
Updating 12295204cf..35f036ace6
Fast-forward
app/Component/Datadog/Constants.php | 1 +
app/Providers/RouteServiceProvider.php | 2 +-
app/Services/Kiosk/AutomatedReports/AutomatedReportsCallbackService.php | 13 +++++++++++++
tests/Unit/Services/Kiosk/AutomatedReports/AutomatedReportsCallbackServiceTest.php | 54 +++++++++++++++++++++++++++++++++++++++++++++++-------
4 files changed, 62 insertions(+), 8 deletions(-)
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ gbr
* master
JY-20818-move-AJ-reports-to-separated-datadog-metric
JY-20773-fix-automated-reports-user-pilot-tracking
JY-20157-AJ-report-not-send-notification
JY-20508-notify-before-AJ-report-expiration
JY-20372-ai-reports-promotion-pages
JY-20352-sync-opportunities-without-a-local-owner-user-id-is-null
JY-20738-debug-AJ-tracking-UP
a
JY-18909-automated-reports-ask-jiminny
JY-20692-fix-integration-app-[API_KEY]
JY-20553-debug-crm-sync-delays
JY-20698-fix-SF-activity-types-on-new-playbook
JY-20543-AJ-report-tracking
JY-20384-handle-auto-sync-with-no-access-to-event-type
JY-20458-ask-jiminny-user-definitions
JY-19666-fix-import-contacts-account-association
JY-19666-HS-import-contacts-and-accounts-batch-job
JY-20458-Ask-Jiminny-Reports
JY-20200-batch-update-CRM-objects-Salesforce
JY-19666-HS-webhooks-add-contact-and-company
JY-20348-trigger-setup-DI-layout-on-team-creation
JY-20326-refactor-info-message-in-command
JY-20317-fix-auto-log-delay-issue-on-all-channels-disabled
JY-20312-remove-on-update-change-last-synced-at-crm-configurations
JY-20306-SF-skip-auto-sync-for-task-based-playbook
JY-20192-remove-deleted-team-from-saved-search-filters
JY-20197-import-opportunity-batch-job
JY-20293-enable-status-field-for-pipedrive-deals
JY-20191-remove-commands-interactive-prompts
JY-20118-change-default-sync-strategy
JY-20183-add-cache-on-auto-log-delay
JY-20197-add-import-opportunity-batch-job
20118-hs-opportunity-make-webhook-strategy-default
JY-20118-make-default-hs-opportunity-sync-strategy-webhook-based
JY-20196-handle-opportunity-without-note
JY-20118-improve-opportunity-import
JY-20189-handle-activity-search-on-deleted-groups
JY-20160
JY-20145-filter-out-converted-leads-when-matching
JY-20150-skip-push-summary-on-summary-ready-if-autolog
JY-20132-fix-note-encoding
JY-19792-clean-logs
JY-20117-fix-sync-profile-fields-on-empty-fields
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (master) $ co -b JY-20725-handle-HS-search-rate-limit
Switched to a new branch 'JY-20725-handle-HS-search-rate-limit'
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/app (JY-20725-handle-HS-search-rate-limit) $ ;xd
docker exec -it docker_lamp_1 bash -c "mv /usr/local/etc/php/conf.d/xdebug.ini ~/xdebug.ini"
What's next:
Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1
Learn more at https://docs.docker.com/go/debug-cli/
docker exec -it docker_lamp_1 supervisorctl restart all
jiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: stopped
jiminny-worker-processing-2:jiminny-worker-processing-2_00: stopped
jiminny-worker-processing-3:jiminny-worker-processing-3_00: stopped
jiminny-worker-processing-4:jiminny-worker-processing-4_00: stopped
jiminny-worker-processing-5:jiminny-worker-processing-5_00: stopped
worker-analytics:worker-analytics_00: stopped
worker-crm-update:worker-crm-update_00: stopped
worker-download:worker-download_00: stopped
worker-nudges:worker-nudges_00: stopped
artisan-schedule:artisan-schedule_00: stopped
worker-emails:worker-emails_00: stopped
worker:worker_00: stopped
worker-calendar:worker-calendar_00: stopped
jiminny-worker-processing-1:jiminny-worker-processing-1_00: stopped
worker-crm-sync:worker-crm-sync_00: stopped
worker-audio:worker-audio_00: stopped
worker-conferences:worker-conferences_00: stopped
worker-es-update:worker-es-update_00: stopped
artisan-schedule:artisan-schedule_00: started
jiminny-worker-processing-1:jiminny-worker-processing-1_00: started
jiminny-worker-processing-2:jiminny-worker-processing-2_00: started
jiminny-worker-processing-3:jiminny-worker-processing-3_00: started
jiminny-worker-processing-4:jiminny-worker-processing-4_00: started
jiminny-worker-processing-5:jiminny-worker-processing-5_00: started
jiminny-worker-processing-delayed:jiminny-worker-processing-delayed_00: started
worker:worker_00: started
worker-analytics:worker-analytics_00: started
worker-audio:worker-audio_00: started
worker-calendar:worker-calendar_00: started
worker-conferences:worker-conferences_00: started
worker-crm-sync:worker-crm-sync_00: started
worker-crm-update:worker-crm-update_00: started
worker-download:worker-download_00: started
worker-emails:worker-emails_00: started
worker-es-update:worker-es-update_00: started
worker-nudges:worker-nudges_00: started
What's next:
Try Docker Debug for seamless, persistent debugging tools in any container or image → docker debug docker_lamp_1
Learn more at https://docs.docker.com/go/debug-cli/
docker exec -it docker_lamp_1 php -v
PHP 8.3.30 (cli) (built: Mar 16 2026 22:32:32) (NTS)
Copyright (c) The PHP Group
Zend En...
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NULL
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NULL
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NULL
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NULL
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21087
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922
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4
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2026-05-11T17:11:18.942726+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519478942_m1.jpg...
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iTerm2
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screenpipe"
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True
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NULL
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monitor_1
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NULL
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NULL
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NULL
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NULL
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2026-05-11T19:55:41.050300Z INFO screenpipe_engin 2026-05-11T19:55:41.050300Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 2.2MB → 0.4MB (6.1x), 10 JPEGs deleted
2026-05-11T19:55:41.940193Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted
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
2026-05-11T19:56:35.278909Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T19:58:37.834427Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:00:40.424221Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:00:42.183237Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames
2026-05-11T20:00:43.461244Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 2.2MB → 0.4MB (6.1x), 10 JPEGs deleted
2026-05-11T20:00:44.432338Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted
tip: install a starter bundle of pipes:
screenpipe install https://screenpi.pe/start.json
2026-05-11T20:02:18.870768Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-11T20:02:18.927472Z INFO screenpipe_audio::core::run_record_and_transcribe: screen unlocked — rebuilding stream for MacBook Pro Microphone (input) (avoids zombie-callback state observed after sleep/wake on macOS, Windows, and Linux)
2026-05-11T20:02:18.981757Z WARN screenpipe_audio::audio_manager::manager: recording for device MacBook Pro Microphone (input) exited with error: stream rebuild required after screen unlock for MacBook Pro Microphone (input) (recovery is automatic via device_monitor)
2026-05-11T20:02:20.964004Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] detected stale recording handle for MacBook Pro Microphone (input), cleaning up for restart
2026-05-11T20:02:20.964175Z INFO screenpipe_audio::device::device_manager: Stopping device: MacBook Pro Microphone (input)
2026-05-11T20:02:21.415539Z INFO screenpipe_audio::device::device_manager: starting recording for device: MacBook Pro Microphone (input)
2026-05-11T20:02:21.415697Z INFO screenpipe_audio::audio_manager::device_monitor: restarted with system default device: MacBook Pro Microphone (input)
2026-05-11T20:02:21.415980Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for MacBook Pro Microphone (input) (wired / 30s segments)
2026-05-11T20:02:21.813264Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-11T20:02:24.656924Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 1
2026-05-11T20:02:24.684324Z WARN sqlx::query: summary="SELECT DISTINCT app_name, window_name, …" db.statement="\n\nSELECT\n DISTINCT app_name,\n window_name,\n browser_url\nFROM\n frames\nWHERE\n timestamp > datetime('now', '-30 seconds')\n AND app_name IS NOT NULL\n AND window_name IS NOT NULL\n" rows_affected=1 rows_returned=197 elapsed=5.061547s
2026-05-11T20:02:26.657137Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)
2026-05-11T20:02:30.621870Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)
2026-05-11T20:02:34.637496Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:02:44.001643Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:03:30.479471Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-5826347064466025141, trigger=visual_change)
2026-05-11T20:03:52.131531Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-5425790139218707027, trigger=click)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:04:45.978554Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:05:05.168645Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 89.5ms elapsed (expected 5.3ms) → inserting 84.2ms silence (8080 samples)
2026-05-11T20:05:16.224790Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=4930168029133975798, trigger=click)
2026-05-11T20:05:27.444659Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 187.9ms elapsed (expected 5.3ms) → inserting 182.6ms silence (17527 samples)
2026-05-11T20:05:46.190016Z 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=1 rows_returned=18 elapsed=1.745995375s
2026-05-11T20:05:46.191257Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 18 eligible frames
2026-05-11T20:05:47.142521Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.8MB → 0.4MB (4.9x), 8 JPEGs deleted
2026-05-11T20:05:48.203203Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.5MB → 0.3MB (5.1x), 8 JPEGs deleted
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whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:06:48.489458Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:08:50.983819Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:10:48.583599Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 2 eligible frames
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found d...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"2026-05-11T19:55:41.050300Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 2.2MB → 0.4MB (6.1x), 10 JPEGs deleted\n2026-05-11T19:55:41.940193Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted\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\n2026-05-11T19:56:35.278909Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T19:58:37.834427Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:00:40.424221Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-11T20:00:42.183237Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames\n2026-05-11T20:00:43.461244Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 2.2MB → 0.4MB (6.1x), 10 JPEGs deleted\n2026-05-11T20:00:44.432338Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted\n\n tip: install a starter bundle of pipes:\n screenpipe install https://screenpi.pe/start.json\n\n2026-05-11T20:02:18.870768Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-05-11T20:02:18.927472Z INFO screenpipe_audio::core::run_record_and_transcribe: screen unlocked — rebuilding stream for MacBook Pro Microphone (input) (avoids zombie-callback state observed after sleep/wake on macOS, Windows, and Linux)\n2026-05-11T20:02:18.981757Z WARN screenpipe_audio::audio_manager::manager: recording for device MacBook Pro Microphone (input) exited with error: stream rebuild required after screen unlock for MacBook Pro Microphone (input) (recovery is automatic via device_monitor)\n2026-05-11T20:02:20.964004Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] detected stale recording handle for MacBook Pro Microphone (input), cleaning up for restart\n2026-05-11T20:02:20.964175Z INFO screenpipe_audio::device::device_manager: Stopping device: MacBook Pro Microphone (input)\n2026-05-11T20:02:21.415539Z INFO screenpipe_audio::device::device_manager: starting recording for device: MacBook Pro Microphone (input)\n2026-05-11T20:02:21.415697Z INFO screenpipe_audio::audio_manager::device_monitor: restarted with system default device: MacBook Pro Microphone (input)\n2026-05-11T20:02:21.415980Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for MacBook Pro Microphone (input) (wired / 30s segments)\n2026-05-11T20:02:21.813264Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-05-11T20:02:24.656924Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 1\n2026-05-11T20:02:24.684324Z WARN sqlx::query: summary=\"SELECT DISTINCT app_name, window_name, …\" db.statement=\"\\n\\nSELECT\\n DISTINCT app_name,\\n window_name,\\n browser_url\\nFROM\\n frames\\nWHERE\\n timestamp > datetime('now', '-30 seconds')\\n AND app_name IS NOT NULL\\n AND window_name IS NOT NULL\\n\" rows_affected=1 rows_returned=197 elapsed=5.061547s\n2026-05-11T20:02:26.657137Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)\n2026-05-11T20:02:30.621870Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)\n2026-05-11T20:02:34.637496Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:02:44.001643Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-11T20:03:30.479471Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-5826347064466025141, trigger=visual_change)\n2026-05-11T20:03:52.131531Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-5425790139218707027, trigger=click)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:04:45.978554Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-11T20:05:05.168645Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 89.5ms elapsed (expected 5.3ms) → inserting 84.2ms silence (8080 samples)\n2026-05-11T20:05:16.224790Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=4930168029133975798, trigger=click)\n2026-05-11T20:05:27.444659Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 187.9ms elapsed (expected 5.3ms) → inserting 182.6ms silence (17527 samples)\n2026-05-11T20:05:46.190016Z 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=1 rows_returned=18 elapsed=1.745995375s\n2026-05-11T20:05:46.191257Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 18 eligible frames\n2026-05-11T20:05:47.142521Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.8MB → 0.4MB (4.9x), 8 JPEGs deleted\n2026-05-11T20:05:48.203203Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.5MB → 0.3MB (5.1x), 8 JPEGs deleted\n\n tip: sign in for higher AI quotas + cloud sync:\n screenpipe login\n\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:06:48.489458Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:08:50.983819Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-11T20:10:48.583599Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 2 eligible frames\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:10:54.062636Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n\n tip: get the screenpipe desktop app for the full experience\n https://screenpi.pe","depth":4,"on_screen":true,"value":"2026-05-11T19:55:41.050300Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 2.2MB → 0.4MB (6.1x), 10 JPEGs deleted\n2026-05-11T19:55:41.940193Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted\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\n2026-05-11T19:56:35.278909Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T19:58:37.834427Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:00:40.424221Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-11T20:00:42.183237Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames\n2026-05-11T20:00:43.461244Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 2.2MB → 0.4MB (6.1x), 10 JPEGs deleted\n2026-05-11T20:00:44.432338Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted\n\n tip: install a starter bundle of pipes:\n screenpipe install https://screenpi.pe/start.json\n\n2026-05-11T20:02:18.870768Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-05-11T20:02:18.927472Z INFO screenpipe_audio::core::run_record_and_transcribe: screen unlocked — rebuilding stream for MacBook Pro Microphone (input) (avoids zombie-callback state observed after sleep/wake on macOS, Windows, and Linux)\n2026-05-11T20:02:18.981757Z WARN screenpipe_audio::audio_manager::manager: recording for device MacBook Pro Microphone (input) exited with error: stream rebuild required after screen unlock for MacBook Pro Microphone (input) (recovery is automatic via device_monitor)\n2026-05-11T20:02:20.964004Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] detected stale recording handle for MacBook Pro Microphone (input), cleaning up for restart\n2026-05-11T20:02:20.964175Z INFO screenpipe_audio::device::device_manager: Stopping device: MacBook Pro Microphone (input)\n2026-05-11T20:02:21.415539Z INFO screenpipe_audio::device::device_manager: starting recording for device: MacBook Pro Microphone (input)\n2026-05-11T20:02:21.415697Z INFO screenpipe_audio::audio_manager::device_monitor: restarted with system default device: MacBook Pro Microphone (input)\n2026-05-11T20:02:21.415980Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for MacBook Pro Microphone (input) (wired / 30s segments)\n2026-05-11T20:02:21.813264Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-05-11T20:02:24.656924Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 1\n2026-05-11T20:02:24.684324Z WARN sqlx::query: summary=\"SELECT DISTINCT app_name, window_name, …\" db.statement=\"\\n\\nSELECT\\n DISTINCT app_name,\\n window_name,\\n browser_url\\nFROM\\n frames\\nWHERE\\n timestamp > datetime('now', '-30 seconds')\\n AND app_name IS NOT NULL\\n AND window_name IS NOT NULL\\n\" rows_affected=1 rows_returned=197 elapsed=5.061547s\n2026-05-11T20:02:26.657137Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)\n2026-05-11T20:02:30.621870Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)\n2026-05-11T20:02:34.637496Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:02:44.001643Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-11T20:03:30.479471Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-5826347064466025141, trigger=visual_change)\n2026-05-11T20:03:52.131531Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-5425790139218707027, trigger=click)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:04:45.978554Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-11T20:05:05.168645Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 89.5ms elapsed (expected 5.3ms) → inserting 84.2ms silence (8080 samples)\n2026-05-11T20:05:16.224790Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=4930168029133975798, trigger=click)\n2026-05-11T20:05:27.444659Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 187.9ms elapsed (expected 5.3ms) → inserting 182.6ms silence (17527 samples)\n2026-05-11T20:05:46.190016Z 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=1 rows_returned=18 elapsed=1.745995375s\n2026-05-11T20:05:46.191257Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 18 eligible frames\n2026-05-11T20:05:47.142521Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.8MB → 0.4MB (4.9x), 8 JPEGs deleted\n2026-05-11T20:05:48.203203Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.5MB → 0.3MB (5.1x), 8 JPEGs deleted\n\n tip: sign in for higher AI quotas + cloud sync:\n screenpipe login\n\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:06:48.489458Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:08:50.983819Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-11T20:10:48.583599Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 2 eligible frames\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:10:54.062636Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n\n tip: get the screenpipe desktop app for the full experience\n https://screenpi.pe","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"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":0.004166667,"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 (docker)","depth":2,"bounds":{"left":0.140625,"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":0.14479166,"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":0.28125,"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":0.28541666,"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":0.421875,"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":0.42604166,"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":0.5625,"top":0.05888889,"width":0.14027777,"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":0.56666666,"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":0.7027778,"top":0.05888889,"width":0.14027777,"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":0.70694447,"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":0.84305555,"top":0.05888889,"width":0.14027777,"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":0.8472222,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.9548611,"top":0.032222223,"width":0.03888889,"height":0.018888889},"on_screen":true,"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"screenpipe\"","depth":1,"bounds":{"left":0.47083333,"top":0.033333335,"width":0.058333334,"height":0.017777778},"on_screen":true,"role_description":"text"}]...
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1557952319796948289
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-852231723626465824
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click
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accessibility
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NULL
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2026-05-11T19:55:41.050300Z INFO screenpipe_engin 2026-05-11T19:55:41.050300Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 2.2MB → 0.4MB (6.1x), 10 JPEGs deleted
2026-05-11T19:55:41.940193Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted
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
2026-05-11T19:56:35.278909Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T19:58:37.834427Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:00:40.424221Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:00:42.183237Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames
2026-05-11T20:00:43.461244Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 2.2MB → 0.4MB (6.1x), 10 JPEGs deleted
2026-05-11T20:00:44.432338Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted
tip: install a starter bundle of pipes:
screenpipe install https://screenpi.pe/start.json
2026-05-11T20:02:18.870768Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-11T20:02:18.927472Z INFO screenpipe_audio::core::run_record_and_transcribe: screen unlocked — rebuilding stream for MacBook Pro Microphone (input) (avoids zombie-callback state observed after sleep/wake on macOS, Windows, and Linux)
2026-05-11T20:02:18.981757Z WARN screenpipe_audio::audio_manager::manager: recording for device MacBook Pro Microphone (input) exited with error: stream rebuild required after screen unlock for MacBook Pro Microphone (input) (recovery is automatic via device_monitor)
2026-05-11T20:02:20.964004Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] detected stale recording handle for MacBook Pro Microphone (input), cleaning up for restart
2026-05-11T20:02:20.964175Z INFO screenpipe_audio::device::device_manager: Stopping device: MacBook Pro Microphone (input)
2026-05-11T20:02:21.415539Z INFO screenpipe_audio::device::device_manager: starting recording for device: MacBook Pro Microphone (input)
2026-05-11T20:02:21.415697Z INFO screenpipe_audio::audio_manager::device_monitor: restarted with system default device: MacBook Pro Microphone (input)
2026-05-11T20:02:21.415980Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for MacBook Pro Microphone (input) (wired / 30s segments)
2026-05-11T20:02:21.813264Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-11T20:02:24.656924Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 1
2026-05-11T20:02:24.684324Z WARN sqlx::query: summary="SELECT DISTINCT app_name, window_name, …" db.statement="\n\nSELECT\n DISTINCT app_name,\n window_name,\n browser_url\nFROM\n frames\nWHERE\n timestamp > datetime('now', '-30 seconds')\n AND app_name IS NOT NULL\n AND window_name IS NOT NULL\n" rows_affected=1 rows_returned=197 elapsed=5.061547s
2026-05-11T20:02:26.657137Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)
2026-05-11T20:02:30.621870Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)
2026-05-11T20:02:34.637496Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:02:44.001643Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:03:30.479471Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-5826347064466025141, trigger=visual_change)
2026-05-11T20:03:52.131531Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-5425790139218707027, trigger=click)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:04:45.978554Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:05:05.168645Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 89.5ms elapsed (expected 5.3ms) → inserting 84.2ms silence (8080 samples)
2026-05-11T20:05:16.224790Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=4930168029133975798, trigger=click)
2026-05-11T20:05:27.444659Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 187.9ms elapsed (expected 5.3ms) → inserting 182.6ms silence (17527 samples)
2026-05-11T20:05:46.190016Z 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=1 rows_returned=18 elapsed=1.745995375s
2026-05-11T20:05:46.191257Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 18 eligible frames
2026-05-11T20:05:47.142521Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.8MB → 0.4MB (4.9x), 8 JPEGs deleted
2026-05-11T20:05:48.203203Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.5MB → 0.3MB (5.1x), 8 JPEGs deleted
tip: sign in for higher AI quotas + cloud sync:
screenpipe login
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:06:48.489458Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:08:50.983819Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:10:48.583599Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 2 eligible frames
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found d...
|
21086
|
NULL
|
NULL
|
NULL
|
|
21089
|
922
|
5
|
2026-05-11T17:11:24.165600+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519484165_m1.jpg...
|
iTerm2
|
screenpipe"
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
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NULL
|
NULL
|
2026-05-11T19:55:41.940193Z INFO screenpipe_engin 2026-05-11T19:55:41.940193Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted
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
2026-05-11T19:56:35.278909Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T19:58:37.834427Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:00:40.424221Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:00:42.183237Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames
2026-05-11T20:00:43.461244Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 2.2MB → 0.4MB (6.1x), 10 JPEGs deleted
2026-05-11T20:00:44.432338Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted
tip: install a starter bundle of pipes:
screenpipe install https://screenpi.pe/start.json
2026-05-11T20:02:18.870768Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-11T20:02:18.927472Z INFO screenpipe_audio::core::run_record_and_transcribe: screen unlocked — rebuilding stream for MacBook Pro Microphone (input) (avoids zombie-callback state observed after sleep/wake on macOS, Windows, and Linux)
2026-05-11T20:02:18.981757Z WARN screenpipe_audio::audio_manager::manager: recording for device MacBook Pro Microphone (input) exited with error: stream rebuild required after screen unlock for MacBook Pro Microphone (input) (recovery is automatic via device_monitor)
2026-05-11T20:02:20.964004Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] detected stale recording handle for MacBook Pro Microphone (input), cleaning up for restart
2026-05-11T20:02:20.964175Z INFO screenpipe_audio::device::device_manager: Stopping device: MacBook Pro Microphone (input)
2026-05-11T20:02:21.415539Z INFO screenpipe_audio::device::device_manager: starting recording for device: MacBook Pro Microphone (input)
2026-05-11T20:02:21.415697Z INFO screenpipe_audio::audio_manager::device_monitor: restarted with system default device: MacBook Pro Microphone (input)
2026-05-11T20:02:21.415980Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for MacBook Pro Microphone (input) (wired / 30s segments)
2026-05-11T20:02:21.813264Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-11T20:02:24.656924Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 1
2026-05-11T20:02:24.684324Z WARN sqlx::query: summary="SELECT DISTINCT app_name, window_name, …" db.statement="\n\nSELECT\n DISTINCT app_name,\n window_name,\n browser_url\nFROM\n frames\nWHERE\n timestamp > datetime('now', '-30 seconds')\n AND app_name IS NOT NULL\n AND window_name IS NOT NULL\n" rows_affected=1 rows_returned=197 elapsed=5.061547s
2026-05-11T20:02:26.657137Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)
2026-05-11T20:02:30.621870Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)
2026-05-11T20:02:34.637496Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:02:44.001643Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:03:30.479471Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-5826347064466025141, trigger=visual_change)
2026-05-11T20:03:52.131531Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-5425790139218707027, trigger=click)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:04:45.978554Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:05:05.168645Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 89.5ms elapsed (expected 5.3ms) → inserting 84.2ms silence (8080 samples)
2026-05-11T20:05:16.224790Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=4930168029133975798, trigger=click)
2026-05-11T20:05:27.444659Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 187.9ms elapsed (expected 5.3ms) → inserting 182.6ms silence (17527 samples)
2026-05-11T20:05:46.190016Z 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=1 rows_returned=18 elapsed=1.745995375s
2026-05-11T20:05:46.191257Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 18 eligible frames
2026-05-11T20:05:47.142521Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.8MB → 0.4MB (4.9x), 8 JPEGs deleted
2026-05-11T20:05:48.203203Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.5MB → 0.3MB (5.1x), 8 JPEGs deleted
tip: sign in for higher AI quotas + cloud sync:
screenpipe login
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:06:48.489458Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:08:50.983819Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:10:48.583599Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 2 eligible frames
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = ...
|
[{"role":"AXTextArea","text [{"role":"AXTextArea","text":"2026-05-11T19:55:41.940193Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted\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\n2026-05-11T19:56:35.278909Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T19:58:37.834427Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:00:40.424221Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-11T20:00:42.183237Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames\n2026-05-11T20:00:43.461244Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 2.2MB → 0.4MB (6.1x), 10 JPEGs deleted\n2026-05-11T20:00:44.432338Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted\n\n tip: install a starter bundle of pipes:\n screenpipe install https://screenpi.pe/start.json\n\n2026-05-11T20:02:18.870768Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-05-11T20:02:18.927472Z INFO screenpipe_audio::core::run_record_and_transcribe: screen unlocked — rebuilding stream for MacBook Pro Microphone (input) (avoids zombie-callback state observed after sleep/wake on macOS, Windows, and Linux)\n2026-05-11T20:02:18.981757Z WARN screenpipe_audio::audio_manager::manager: recording for device MacBook Pro Microphone (input) exited with error: stream rebuild required after screen unlock for MacBook Pro Microphone (input) (recovery is automatic via device_monitor)\n2026-05-11T20:02:20.964004Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] detected stale recording handle for MacBook Pro Microphone (input), cleaning up for restart\n2026-05-11T20:02:20.964175Z INFO screenpipe_audio::device::device_manager: Stopping device: MacBook Pro Microphone (input)\n2026-05-11T20:02:21.415539Z INFO screenpipe_audio::device::device_manager: starting recording for device: MacBook Pro Microphone (input)\n2026-05-11T20:02:21.415697Z INFO screenpipe_audio::audio_manager::device_monitor: restarted with system default device: MacBook Pro Microphone (input)\n2026-05-11T20:02:21.415980Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for MacBook Pro Microphone (input) (wired / 30s segments)\n2026-05-11T20:02:21.813264Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-05-11T20:02:24.656924Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 1\n2026-05-11T20:02:24.684324Z WARN sqlx::query: summary=\"SELECT DISTINCT app_name, window_name, …\" db.statement=\"\\n\\nSELECT\\n DISTINCT app_name,\\n window_name,\\n browser_url\\nFROM\\n frames\\nWHERE\\n timestamp > datetime('now', '-30 seconds')\\n AND app_name IS NOT NULL\\n AND window_name IS NOT NULL\\n\" rows_affected=1 rows_returned=197 elapsed=5.061547s\n2026-05-11T20:02:26.657137Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)\n2026-05-11T20:02:30.621870Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)\n2026-05-11T20:02:34.637496Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:02:44.001643Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-11T20:03:30.479471Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-5826347064466025141, trigger=visual_change)\n2026-05-11T20:03:52.131531Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-5425790139218707027, trigger=click)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:04:45.978554Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-11T20:05:05.168645Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 89.5ms elapsed (expected 5.3ms) → inserting 84.2ms silence (8080 samples)\n2026-05-11T20:05:16.224790Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=4930168029133975798, trigger=click)\n2026-05-11T20:05:27.444659Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 187.9ms elapsed (expected 5.3ms) → inserting 182.6ms silence (17527 samples)\n2026-05-11T20:05:46.190016Z 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=1 rows_returned=18 elapsed=1.745995375s\n2026-05-11T20:05:46.191257Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 18 eligible frames\n2026-05-11T20:05:47.142521Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.8MB → 0.4MB (4.9x), 8 JPEGs deleted\n2026-05-11T20:05:48.203203Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.5MB → 0.3MB (5.1x), 8 JPEGs deleted\n\n tip: sign in for higher AI quotas + cloud sync:\n screenpipe login\n\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:06:48.489458Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:08:50.983819Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-11T20:10:48.583599Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 2 eligible frames\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:10:54.062636Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n\n tip: get the screenpipe desktop app for the full experience\n https://screenpi.pe\n\n2026-05-11T20:11:21.171912Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=1557952319796948289, trigger=visual_change)","depth":4,"on_screen":true,"value":"2026-05-11T19:55:41.940193Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted\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\n2026-05-11T19:56:35.278909Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T19:58:37.834427Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:00:40.424221Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-11T20:00:42.183237Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames\n2026-05-11T20:00:43.461244Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 2.2MB → 0.4MB (6.1x), 10 JPEGs deleted\n2026-05-11T20:00:44.432338Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted\n\n tip: install a starter bundle of pipes:\n screenpipe install https://screenpi.pe/start.json\n\n2026-05-11T20:02:18.870768Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-05-11T20:02:18.927472Z INFO screenpipe_audio::core::run_record_and_transcribe: screen unlocked — rebuilding stream for MacBook Pro Microphone (input) (avoids zombie-callback state observed after sleep/wake on macOS, Windows, and Linux)\n2026-05-11T20:02:18.981757Z WARN screenpipe_audio::audio_manager::manager: recording for device MacBook Pro Microphone (input) exited with error: stream rebuild required after screen unlock for MacBook Pro Microphone (input) (recovery is automatic via device_monitor)\n2026-05-11T20:02:20.964004Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] detected stale recording handle for MacBook Pro Microphone (input), cleaning up for restart\n2026-05-11T20:02:20.964175Z INFO screenpipe_audio::device::device_manager: Stopping device: MacBook Pro Microphone (input)\n2026-05-11T20:02:21.415539Z INFO screenpipe_audio::device::device_manager: starting recording for device: MacBook Pro Microphone (input)\n2026-05-11T20:02:21.415697Z INFO screenpipe_audio::audio_manager::device_monitor: restarted with system default device: MacBook Pro Microphone (input)\n2026-05-11T20:02:21.415980Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for MacBook Pro Microphone (input) (wired / 30s segments)\n2026-05-11T20:02:21.813264Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)\n2026-05-11T20:02:24.656924Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 1\n2026-05-11T20:02:24.684324Z WARN sqlx::query: summary=\"SELECT DISTINCT app_name, window_name, …\" db.statement=\"\\n\\nSELECT\\n DISTINCT app_name,\\n window_name,\\n browser_url\\nFROM\\n frames\\nWHERE\\n timestamp > datetime('now', '-30 seconds')\\n AND app_name IS NOT NULL\\n AND window_name IS NOT NULL\\n\" rows_affected=1 rows_returned=197 elapsed=5.061547s\n2026-05-11T20:02:26.657137Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)\n2026-05-11T20:02:30.621870Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)\n2026-05-11T20:02:34.637496Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:02:44.001643Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-11T20:03:30.479471Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-5826347064466025141, trigger=visual_change)\n2026-05-11T20:03:52.131531Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-5425790139218707027, trigger=click)\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:04:45.978554Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-11T20:05:05.168645Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 89.5ms elapsed (expected 5.3ms) → inserting 84.2ms silence (8080 samples)\n2026-05-11T20:05:16.224790Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=4930168029133975798, trigger=click)\n2026-05-11T20:05:27.444659Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 187.9ms elapsed (expected 5.3ms) → inserting 182.6ms silence (17527 samples)\n2026-05-11T20:05:46.190016Z 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=1 rows_returned=18 elapsed=1.745995375s\n2026-05-11T20:05:46.191257Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 18 eligible frames\n2026-05-11T20:05:47.142521Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.8MB → 0.4MB (4.9x), 8 JPEGs deleted\n2026-05-11T20:05:48.203203Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.5MB → 0.3MB (5.1x), 8 JPEGs deleted\n\n tip: sign in for higher AI quotas + cloud sync:\n screenpipe login\n\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:06:48.489458Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:08:50.983819Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n2026-05-11T20:10:48.583599Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 2 eligible frames\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\nwhisper_backend_init_gpu: device 0: Metal (type: 1)\nwhisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)\nwhisper_backend_init_gpu: using Metal backend\nggml_metal_init: allocating\nggml_metal_init: found device: Apple M1\nggml_metal_init: picking default device: Apple M1\nggml_metal_init: use fusion = true\nggml_metal_init: use concurrency = true\nggml_metal_init: use graph optimize = true\nwhisper_backend_init: using BLAS backend\nwhisper_init_state: kv self size = 3.15 MB\nwhisper_init_state: kv cross size = 9.44 MB\nwhisper_init_state: kv pad size = 2.36 MB\nwhisper_init_state: compute buffer (conv) = 14.17 MB\nwhisper_init_state: compute buffer (encode) = 65.96 MB\nwhisper_init_state: compute buffer (cross) = 8.50 MB\nwhisper_init_state: compute buffer (decode) = 96.83 MB\nggml_metal_free: deallocating\n2026-05-11T20:10:54.062636Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks\n\n tip: get the screenpipe desktop app for the full experience\n https://screenpi.pe\n\n2026-05-11T20:11:21.171912Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=1557952319796948289, trigger=visual_change)","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"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":0.004166667,"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 (docker)","depth":2,"bounds":{"left":0.140625,"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":0.14479166,"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":0.28125,"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":0.28541666,"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":0.421875,"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":0.42604166,"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":0.5625,"top":0.05888889,"width":0.14027777,"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":0.56666666,"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":0.7027778,"top":0.05888889,"width":0.14027777,"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":0.70694447,"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":0.84305555,"top":0.05888889,"width":0.14027777,"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":0.8472222,"top":0.06333333,"width":0.011111111,"height":0.017777778},"on_screen":true,"role_description":"button","is_enabled":false,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"⌥⌘1","depth":1,"bounds":{"left":0.9548611,"top":0.032222223,"width":0.03888889,"height":0.018888889},"on_screen":true,"automation_id":"_NS:8","role_description":"text"},{"role":"AXStaticText","text":"screenpipe\"","depth":1,"bounds":{"left":0.47083333,"top":0.033333335,"width":0.058333334,"height":0.017777778},"on_screen":true,"role_description":"text"}]...
|
-456339702770083891
|
-852231723626465824
|
visual_change
|
accessibility
|
NULL
|
2026-05-11T19:55:41.940193Z INFO screenpipe_engin 2026-05-11T19:55:41.940193Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted
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
2026-05-11T19:56:35.278909Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T19:58:37.834427Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:00:40.424221Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:00:42.183237Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 22 eligible frames
2026-05-11T20:00:43.461244Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 2.2MB → 0.4MB (6.1x), 10 JPEGs deleted
2026-05-11T20:00:44.432338Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 10 frames, 1.9MB → 0.3MB (6.4x), 10 JPEGs deleted
tip: install a starter bundle of pipes:
screenpipe install https://screenpi.pe/start.json
2026-05-11T20:02:18.870768Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-11T20:02:18.927472Z INFO screenpipe_audio::core::run_record_and_transcribe: screen unlocked — rebuilding stream for MacBook Pro Microphone (input) (avoids zombie-callback state observed after sleep/wake on macOS, Windows, and Linux)
2026-05-11T20:02:18.981757Z WARN screenpipe_audio::audio_manager::manager: recording for device MacBook Pro Microphone (input) exited with error: stream rebuild required after screen unlock for MacBook Pro Microphone (input) (recovery is automatic via device_monitor)
2026-05-11T20:02:20.964004Z WARN screenpipe_audio::audio_manager::device_monitor: [DEVICE_RECOVERY] detected stale recording handle for MacBook Pro Microphone (input), cleaning up for restart
2026-05-11T20:02:20.964175Z INFO screenpipe_audio::device::device_manager: Stopping device: MacBook Pro Microphone (input)
2026-05-11T20:02:21.415539Z INFO screenpipe_audio::device::device_manager: starting recording for device: MacBook Pro Microphone (input)
2026-05-11T20:02:21.415697Z INFO screenpipe_audio::audio_manager::device_monitor: restarted with system default device: MacBook Pro Microphone (input)
2026-05-11T20:02:21.415980Z INFO screenpipe_audio::core::run_record_and_transcribe: starting continuous recording for MacBook Pro Microphone (input) (wired / 30s segments)
2026-05-11T20:02:21.813264Z INFO screenpipe_engine::sleep_monitor: Screen unlocked (CGSession safety-net poll)
2026-05-11T20:02:24.656924Z INFO screenpipe_engine::event_driven_capture: invalidating persistent streams after unlock/wake for monitor 1
2026-05-11T20:02:24.684324Z WARN sqlx::query: summary="SELECT DISTINCT app_name, window_name, …" db.statement="\n\nSELECT\n DISTINCT app_name,\n window_name,\n browser_url\nFROM\n frames\nWHERE\n timestamp > datetime('now', '-30 seconds')\n AND app_name IS NOT NULL\n AND window_name IS NOT NULL\n" rows_affected=1 rows_returned=197 elapsed=5.061547s
2026-05-11T20:02:26.657137Z INFO sck_rs::stream_manager: stopped 2 persistent stream(s)
2026-05-11T20:02:30.621870Z INFO sck_rs::stream_manager: persistent SCK stream started for display 2 (3008x1253, 2fps, 0 excluded)
2026-05-11T20:02:34.637496Z INFO sck_rs::stream_manager: persistent SCK stream started for display 1 (1440x900, 2fps, 0 excluded)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:02:44.001643Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:03:30.479471Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 1 (hash=-5826347064466025141, trigger=visual_change)
2026-05-11T20:03:52.131531Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=-5425790139218707027, trigger=click)
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:04:45.978554Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:05:05.168645Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 89.5ms elapsed (expected 5.3ms) → inserting 84.2ms silence (8080 samples)
2026-05-11T20:05:16.224790Z INFO screenpipe_engine::event_driven_capture: content dedup: skipping capture for monitor 2 (hash=4930168029133975798, trigger=click)
2026-05-11T20:05:27.444659Z WARN screenpipe_audio::core::source_buffer: [MacBook Pro Microphone (input)] large gap on wired device: 187.9ms elapsed (expected 5.3ms) → inserting 182.6ms silence (17527 samples)
2026-05-11T20:05:46.190016Z 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=1 rows_returned=18 elapsed=1.745995375s
2026-05-11T20:05:46.191257Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 18 eligible frames
2026-05-11T20:05:47.142521Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.8MB → 0.4MB (4.9x), 8 JPEGs deleted
2026-05-11T20:05:48.203203Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: 8 frames, 1.5MB → 0.3MB (5.1x), 8 JPEGs deleted
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whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:06:48.489458Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
2026-05-11T20:08:50.983819Z INFO screenpipe_audio::audio_manager::manager: reconciliation: transcribed 50 orphaned chunks
2026-05-11T20:10:48.583599Z INFO screenpipe_engine::snapshot_compaction: snapshot compaction: found 2 eligible frames
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = true
ggml_metal_init: use graph optimize = true
whisper_backend_init: using BLAS backend
whisper_init_state: kv self size = 3.15 MB
whisper_init_state: kv cross size = 9.44 MB
whisper_init_state: kv pad size = 2.36 MB
whisper_init_state: compute buffer (conv) = 14.17 MB
whisper_init_state: compute buffer (encode) = 65.96 MB
whisper_init_state: compute buffer (cross) = 8.50 MB
whisper_init_state: compute buffer (decode) = 96.83 MB
ggml_metal_free: deallocating
whisper_backend_init_gpu: device 0: Metal (type: 1)
whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)
whisper_backend_init_gpu: using Metal backend
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1
ggml_metal_init: picking default device: Apple M1
ggml_metal_init: use fusion = true
ggml_metal_init: use concurrency = ...
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Last login: Sun May 10 21:10:26 on ttys013
Poetry Last login: Sun May 10 21:10:26 on ttys013
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
DOCKER
Close Tab
DEV (docker)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
-zsh
Close Tab
screenpipe"
Close Tab
-zsh
Close Tab
⌥⌘1
-zsh...
|
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Last login: Sun May 10 21:10:26 on ttys013
Poetry Last login: Sun May 10 21:10:26 on ttys013
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
DOCKER
Close Tab
DEV (docker)
Close Tab
APP (-zsh)
Close Tab
-zsh
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-zsh
Close Tab
screenpipe"
Close Tab
-zsh
Close Tab
⌥⌘1
-zsh...
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Last login: Sun May 10 21:10:26 on ttys013
Poetry Last login: Sun May 10 21:10:26 on ttys013
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ cat ~/.screenpipe/screenpipe_sync.sh | pbcopy
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
DOCKER
Close Tab
DEV (docker)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
-zsh
Close Tab
screenpipe"
Close Tab
-zsh
Close Tab
⌥⌘1
-zsh...
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pyproject.toml file in /Users/lukas or its parents\n\nPoetry could not find a pyproject.toml file in /Users/lukas or its parents\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ cat ~/.screenpipe/screenpipe_sync.sh | pbcopy\nlukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $","is_focused":true},{"role":"AXRadioButton","text":"DOCKER","depth":2,"bounds":{"left":0.0,"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":0.004166667,"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 (docker)","depth":2,"bounds":{"left":0.140625,"top":0.05888889,"width":0.140625,"height":0.026666667},"on_screen":true,"role_description":"radio 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Last login: Sun May 10 21:10:26 on ttys013
Poetry Last login: Sun May 10 21:10:26 on ttys013
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ cat ~/.screenpipe/screenpipe_sync.sh | pbcopy
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
DOCKER
Close Tab
DEV (docker)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
-zsh
Close Tab
screenpipe"
Close Tab
-zsh
Close Tab
⌥⌘1
-zsh...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelp-zshDOCKER* *81DEV (docker)Last login: Sun May 10 21:10:26 on ttys013₴2APP (-zsh)883-zshPoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ cat ~/.screenpipe/screenpipe_sync.sh | pbcopylukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~$-zsh*5screenpipe"100% <47*8•Mon 11 May 20:12:01T81• ÷6-zshX7...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelp-zshDOCKER* *81DEV (docker)Last login: Sun May 10 21:10:26 on ttys013₴2APP (-zsh)883-zshPoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ cat ~/.screenpipe/screenpipe_sync.sh | pbcopylukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~$-zsh*5screenpipe"100% <47*8•Mon 11 May 20:12:01T81• ÷6-zshX7...
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Shell Script
Editor Language Status: $(copilot) No inline suggestion available, Inline suggestions
LF
UTF-8
Spaces: 2
Ln 40, Col 23
git-commit Lukas Kovalik (2 weeks ago)
Lukas Kovalik (2 weeks ago)
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.parti...
|
[{"role":"AXRadioButton","text [{"role":"AXRadioButton","text":"Explorer (⇧⌘E)","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Search (⇧⌘F)","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Source Control (⌃⇧G) - 10 pending changes","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"10","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Run and Debug (⇧⌘D)","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Remote Explorer","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Extensions (⇧⌘X) - 2 require update","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"2","depth":22,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Claude Code","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"Containers","depth":19,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"EXPLORER","depth":17,"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"EXPLORER","depth":18,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Explorer Section: screenpipe [SSH: 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Section","depth":21,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":23,"on_screen":true,"role_description":"text"},{"role":"AXHeading","text":"OUTLINE","depth":22,"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"OUTLINE","depth":23,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Timeline Section","depth":21,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":23,"on_screen":true,"role_description":"text"},{"role":"AXHeading","text":"TIMELINE","depth":22,"on_screen":true,"role_description":"heading"},{"role":"AXStaticText","text":"TIMELINE","depth":23,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"app_settings.json, Editor Group 1","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe_sync.sh, Editor Group 1","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXRadioButton","text":"pipe.md, Editor Group 1","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":".env, Editor Group 1","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/Test/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables, indexes, FTS\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks\n SELECT * FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames\n SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text\n SELECT o.* FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events\n SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements\n SELECT e.* FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings\n SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"","depth":28,"on_screen":true,"value":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/Test/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables, indexes, FTS\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks\n SELECT * FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames\n SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text\n SELECT o.* FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events\n SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements\n SELECT e.* FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings\n SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"","role_description":"editor","is_enabled":true,"is_focused":true,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/Test/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables, indexes, FTS\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks\n SELECT * FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames\n SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text\n SELECT o.* FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events\n SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements\n SELECT e.* FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings\n SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"","depth":29,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Implement and run pipe l…, Editor Group 2","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXRadioButton","text":"Problems 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(⌃`)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"TERMINAL","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Ports - 1 forwarded port","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PORTS","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":25,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"remote SSH: nas","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"SSH: nas","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - master*, Checkout Branch/Tag...","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"master*","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - Synchronize Changes","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"No Problems","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Forwarded Ports: 8766","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Notifications","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sign In","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Shell Script","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Editor Language Status: $(copilot) No inline suggestion available, Inline suggestions","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"LF","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"UTF-8","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Spaces: 2","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Ln 40, Col 23","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"git-commit Lukas Kovalik (2 weeks ago)","depth":16,"bounds":{"left":1.0,"top":0.0,"width":-0.07361114,"height":0.024444444},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":1.0,"top":0.0,"width":-0.07708335,"height":0.017777778},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Lukas Kovalik (2 weeks ago)","depth":17,"bounds":{"left":1.0,"top":0.0,"width":-0.08819449,"height":0.015555556},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Info: Setting up SSH Host nas: Setting up SSH tunnel","depth":12,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Implement and run pipe logic","depth":19,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":19,"on_screen":true,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":19,"on_screen":true,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"main.py","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lets implement logic with pipes. how can I run it?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me look at the current project structure to understand what's already in place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\nfeatured: true\n---\n\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## AI Tools Used\n- List each tool with approximate time spent (e.g. \"Claude: ~45min\")\n\n## What I Used Them For\n- For each tool: coding, writing, research, or brainstorming\n\n## Usage Patterns\n- Do I switch between tools? Use them in bursts or steadily?\n\n## Effectiveness\n- Which tool appeared alongside completed work vs. abandoned attempts\n\nIf no AI usage is found, say so clearly. End with: \"**Tip:** [one suggestion to use AI tools more effectively]\"\n\n=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n\n=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.\n\n=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\nfeatured: true\n---\n\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Yesterday\n- What I worked on (name specific projects, files, tools, PRs)\n\n## Today\n- What I will work on next (based on unfinished tasks and recent activity)\n\n## Blockers\n- Issues I hit — errors, slow builds, waiting on someone\n- If no blockers, write \"None\"\n\nKeep it under 150 words. Copy-paste ready for a team standup.\n\n=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Time Breakdown\ndescription: \"Where your time went — by app, project, and category\"\nicon: \"⏱\"\nfeatured: false\n---\n\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\n\nRead screenpipe skill first.\n\nUse this exact format with durations and percentages:\n\n## By Application\n- List each app with duration and percentage, sorted by time (e.g. \"VS Code: 2h 15min (28%)\")\n\n## By Category\n- Group into: coding, meetings, browsing, writing, communication, other\n- Show hours and percentage per category\n\n## By Project\n- Group related activities by project/topic. Name specific repos or tasks.\n\n## Productivity Score\n- Calculate: focused_work_hours / total_hours as a percentage\n- Focused = coding + writing. Unfocused = browsing + switching.\n\nEnd with: \"**Suggestion:** [one specific change to improve tomorrow's productivity]\"\n\n=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\nfeatured: false\n---\n\nExport a video of my screen activity from the last 5 minutes.\n\nRead screenpipe skill first.\n\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\n\nIf the export is large, suggest a lower fps or shorter time range.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"GET /api/pipes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /api/pipes/{pipe_id}/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— a","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"command to run pipes from the terminal","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me build it:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check browser_urls signature","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/consumers/activity.py | grep \"def browser_urls\" -A 5","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"def browser_urls(\n for_date: date | None = None,\n app_name: str | None = None,\n ts_from: str | None = None,\n ts_to: str | None = None,\n limit: int = 30,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"pipes.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipes.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"143 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"\"\"Dynamic pipe loader and runner.\"\"\"\nimport os\nimport re\nfrom datetime import date\nfrom pathlib import Path\nfrom typing import Any\n\n\ndef _parse_frontmatter(text: str) -> tuple[dict, str]:\n if not text.startswith(\"---\"):\n return {}, text\n try:\n end = text.index(\"---\", 3)\n except ValueError:\n return {}, text\n fm_text = text[3:end].strip()\n body = text[end + 3:].strip()\n meta: dict = {}\n for line in fm_text.splitlines():\n if \":\" in line:\n k, _, v = line.partition(\":\")\n meta[k.strip()] = v.strip().strip('\"')\n return meta, body\n\n\ndef load_pipes(pipes_dir: Path) -> list[dict]:\n if not pipes_dir.exists():\n return []\n pipes = []\n for pipe_dir in sorted(pipes_dir.iterdir()):\n if not pipe_dir.is_dir() or pipe_dir.name.startswith(\".\"):\n continue\n pipe_md = pipe_dir / \"pipe.md\"\n if not pipe_md.exists():\n continue\n text = pipe_md.read_text(encoding=\"utf-8\")\n meta, body = _parse_frontmatter(text)\n if meta.get(\"enabled\", \"true\").lower() == \"false\":\n continue\n body = re.sub(r\"Read screenpipe skill first\\.?\\n?\", \"\", body).strip()\n pipes.append({\n \"id\": pipe_dir.name,\n \"title\": meta.get(\"title\", pipe_dir.name),\n \"description\": meta.get(\"description\", \"\"),\n \"icon\": meta.get(\"icon\", \"\"),\n \"schedule\": meta.get(\"schedule\", \"manual\"),\n \"featured\": meta.get(\"featured\", \"false\").lower() == \"true\",\n \"prompt\": body,\n })\n return pipes\n\n\ndef _build_system(d: date, stats: dict) -> str:\n from consumers.activity import app_time, browser_urls, ui_event_summary\n from consumers.ocr import deduplicated_text\n from consumers.audio import formatted_transcript\n\n apps = app_time(d)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(d, limit=20)\n url_lines = \"\\n\".join(f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls)\n\n ui_rows = ui_event_summary(d)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(d, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(d)\n if len(audio) > 3000:\n audio = audio[:3000]\n\n return f\"\"\"You are analyzing screenpipe data — recordings of a person's computer activity.\n\n## App usage (minutes per app):\n{app_lines or '(no app data)'}\n\n## Browser URLs visited:\n{url_lines or '(no browser data)'}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_lines or '(no UI event data)'}\n\n## Screen content (sampled every 5 minutes):\n{ocr_lines or '(no screen data)'}\n\n## Audio / speech:\n{audio or '(no audio data)'}\n\nDate: {d}\nTotal frames recorded: {stats['total_frames']}\"\"\"\n\n\ndef run_pipe(\n pipe_id: str,\n for_date: date | None = None,\n api_key: str | None = None,\n pipes_dir: Path | None = None,\n) -> dict[str, Any]:\n import anthropic\n from consumers.activity import summary_stats\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\"title\": \"Error\", \"content\": \"ANTHROPIC_API_KEY not set.\", \"date\": str(d)}\n\n _pipes_dir = pipes_dir or Path(os.environ.get(\"PIPES_DIR\", \"/data/pipes\"))\n all_pipes = {p[\"id\"]: p for p in load_pipes(_pipes_dir)}\n\n if pipe_id not in all_pipes:\n return {\"title\": \"Error\", \"content\": f\"Pipe not found: {pipe_id}\", \"date\": str(d)}\n\n pipe = all_pipes[pipe_id]\n stats = summary_stats(d)\n\n if stats[\"total_frames\"] == 0:\n return {\"title\": pipe[\"title\"], \"content\": f\"No screen data found for {d}.\", \"date\": str(d)}\n\n system = _build_system(d, stats)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n system=system,\n messages=[{\"role\": \"user\", \"content\": pipe[\"prompt\"]}],\n )\n\n return {\n \"title\": pipe[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the API endpoints to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 1 line","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the pipe endpoints at the end of main.py, before the closing summary section:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 14 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the CLI command to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Added 40 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Done. Here's how to run pipes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"How to run pipes","depth":22,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"How to run pipes","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via Docker (inside the running container):","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"docker exec -it screenpipe-app python cli.py pipe --list\ndocker exec -it screenpipe-app python cli.py pipe day-recap\ndocker exec -it screenpipe-app python cli.py pipe standup-update --date yesterday","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Via the API","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(once the container is running on port 8766):","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"# List pipes\ncurl http://localhost:8766/api/pipes\n\n# Run a pipe\ncurl -X POST \"http://localhost:8766/api/pipes/day-recap/run\"\ncurl -X POST \"http://localhost:8766/api/pipes/standup-update/run?d=2026-04-25\"","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Rebuild and restart","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"to pick up the changes:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cd /volume1/screenpipe/app\ndocker compose up --build -d","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"How it works:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Each","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"file is loaded dynamically — the frontmatter provides metadata and the body becomes the user prompt. Screenpipe data (app usage, browser URLs, OCR, audio) is injected as a Claude system message so the pipe prompt can reference it naturally. The \"Read screenpipe skill first\" line is stripped automatically.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The pipes directory inside Docker is","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data/pipes","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"(since","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/data","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"). You can override it with a","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PIPES_DIR","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"env var if needed.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"pipe.md","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"where to place api key and can I use different keys","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read .env file","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/.env","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Where to place the key:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"app/.env","depth":23,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"app/.env","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— replace","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"your_key_here","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"with your actual key:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":23,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"ANTHROPIC_API_KEY=sk-ant-...","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"That file is loaded by","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"load_dotenv()","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"at startup and is excluded from git via","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".gitignore","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":".","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Can you use different keys per pipe?","depth":24,"on_screen":false,"role_description":"text"}]...
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Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Shell Script
Editor Language Status: $(copilot) No inline suggestion available, Inline suggestions
LF
UTF-8
Spaces: 2
Ln 40, Col 23
git-commit Lukas Kovalik (2 weeks ago)
Lukas Kovalik (2 weeks ago)
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.parti...
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NULL
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21097
|
922
|
10
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2026-05-11T17:12:04.515530+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519524515_m1.jpg...
|
Code
|
screenpipe_sync.sh — screenpipe [SSH: nas]
|
True
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NULL
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monitor_1
|
NULL
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NULL
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NULL
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NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
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Spaces: 2
Ln 39, Col 1
git-commit Lukas Kovalik (2 weeks ago)
Lukas Kovalik (2 weeks ago)
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
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OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
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OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
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OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partit...
|
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1","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":"screenpipe_sync.sh, Editor Group 1","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXRadioButton","text":"pipe.md, Editor Group 1","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXRadioButton","text":".env, Editor Group 1","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/Test/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables, indexes, FTS\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks\n SELECT * FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames\n SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text\n SELECT o.* FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events\n SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements\n SELECT e.* FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings\n SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"","depth":28,"on_screen":true,"value":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/Test/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables, indexes, FTS\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks\n SELECT * FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames\n SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text\n SELECT o.* FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events\n SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements\n SELECT e.* FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings\n SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"","role_description":"editor","is_enabled":true,"is_focused":true,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/Test/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables, indexes, FTS\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks\n SELECT * FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames\n SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text\n SELECT o.* FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events\n SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements\n SELECT e.* FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings\n SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"","depth":29,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Implement and run pipe l…, Editor Group 2","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXRadioButton","text":"Problems (⇧⌘M)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PROBLEMS","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Output (⇧⌘U)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUTPUT","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Debug Console (⇧⌘Y)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"DEBUG CONSOLE","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Terminal (⌃`)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"TERMINAL","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Ports - 1 forwarded port","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PORTS","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":25,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"remote SSH: nas","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"SSH: nas","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - master*, Checkout Branch/Tag...","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"master*","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - Synchronize Changes","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"No Problems","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Forwarded Ports: 8766","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Notifications","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sign In","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Shell Script","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Editor Language Status: $(copilot) No inline suggestion available, Inline suggestions","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"LF","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"UTF-8","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Spaces: 2","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Ln 39, Col 1","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"git-commit Lukas Kovalik (2 weeks ago)","depth":16,"bounds":{"left":1.0,"top":0.0,"width":-0.07916665,"height":0.024444444},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":1.0,"top":0.0,"width":-0.08263886,"height":0.017777778},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Lukas Kovalik (2 weeks ago)","depth":17,"bounds":{"left":1.0,"top":0.0,"width":-0.09375,"height":0.015555556},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Info: Setting up SSH Host nas: Setting up SSH tunnel","depth":12,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Implement and run pipe logic","depth":19,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":19,"on_screen":true,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":19,"on_screen":true,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"main.py","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lets implement logic with pipes. how can I run it?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me look at the current project structure to understand what's already in place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"cli.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"cli.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List all pipes and their contents","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo \"=== $d ===\"; ls \"$d\"; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\n=== /volume1/screenpipe/pipes/ai-habits/ ===\npipe.md\n=== /volume1/screenpipe/pipes/day-recap/ ===\npipe.md\n=== /volume1/screenpipe/pipes/meeting-summary/ ===\npipe.md\n=== /volume1/screenpipe/pipes/standup-update/ ===\npipe.md\n=== /volume1/screenpipe/pipes/time-breakdown/ ===\npipe.md\n=== /volume1/screenpipe/pipes/video-export/ ===\npipe.md","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read pipe markdown files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo \"===\" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read summary consumer","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"activity.py\naudio.py\nelements.py\n__init__.py\ninteractions.py\nocr.py\n__pycache__\nreport.py\nsummary.py\n\"\"\"AI summary generator using Claude.\"\"\"\nimport os\nfrom datetime import date\nfrom typing import Any\n\nfrom consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary\nfrom consumers.ocr import deduplicated_text\nfrom consumers.audio import formatted_transcript\n\n\nSUMMARY_TYPES = {\n \"day_recap\": {\n \"title\": \"Day Recap\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a concise day recap using EXACTLY this format:\n\n## Summary\nOne sentence: what I mainly worked on today.\n\n## Accomplishments\n- Top 3 things I finished, with approximate times\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things seen or heard, with timestamps\n\n## Unfinished Work\n- What to continue tomorrow\n\n## Patterns\n- Apps used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with:\n**Next step:** [most important thing to continue]\"\"\",\n },\n \"standup\": {\n \"title\": \"Standup Update\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\n## Audio/speech:\n{audio}\n\nWrite a brief standup update:\n\n**Yesterday:** What I worked on (2-3 bullets)\n**Today:** What I plan to continue (1-2 bullets)\n**Blockers:** Any issues observed (or \"None\")\n\nKeep it under 150 words. Only report what's verifiable from the data.\"\"\",\n },\n \"focus_time\": {\n \"title\": \"Focus & Distraction Analysis\",\n \"prompt\": \"\"\"\\\nYou are analyzing a person's computer activity for the day.\n\n## App usage (minutes per app):\n{app_time}\n\n## Browser URLs visited:\n{browser_urls}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_events}\n\n## Screen content (sampled every 5 minutes):\n{ocr_text}\n\nAnalyze focus vs distraction patterns:\n\n## Deep Work Periods\n- When and how long were sustained focus sessions?\n- What was being worked on?\n\n## Distractions\n- Which apps/sites were used recreationally?\n- How much time was lost to context switching?\n\n## Recommendations\n- 2-3 concrete suggestions to improve focus tomorrow\n\nBe specific with times and app names.\"\"\",\n },\n}\n\n\ndef _build_context(for_date: date) -> dict[str, str]:\n apps = app_time(for_date)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(for_date, limit=20)\n url_lines = \"\\n\".join(\n f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls\n )\n\n ui_rows = ui_event_summary(for_date)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(for_date, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(for_date)\n\n return {\n \"app_time\": app_lines or \"(no app data)\",\n \"browser_urls\": url_lines or \"(no browser data)\",\n \"ui_events\": ui_lines or \"(no UI event data)\",\n \"ocr_text\": ocr_lines or \"(no screen data)\",\n \"audio\": audio[:3000] if len(audio) > 3000 else audio,\n }\n\n\ndef generate(\n summary_type: str = \"day_recap\",\n for_date: date | None = None,\n api_key: str | None = None,\n) -> dict[str, Any]:\n \"\"\"Generate an AI summary. Returns dict with 'title', 'content', 'date'.\"\"\"\n import anthropic\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\n \"title\": \"Error\",\n \"content\": \"ANTHROPIC_API_KEY not set. Add it to your .env file.\",\n \"date\": str(d),\n }\n\n spec = SUMMARY_TYPES.get(summary_type)\n if not spec:\n return {\"title\": \"Error\", \"content\": f\"Unknown summary type: {summary_type}\", \"date\": str(d)}\n\n stats = summary_stats(d)\n if stats[\"total_frames\"] == 0:\n return {\n \"title\": spec[\"title\"],\n \"content\": f\"No screen data found for {d}.\",\n \"date\": str(d),\n }\n\n ctx = _build_context(d)\n prompt = spec[\"prompt\"].format(**ctx)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n messages=[{\"role\": \"user\", \"content\": prompt}],\n )\n\n return {\n \"title\": spec[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read all pipe.md files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"for f in /volume1/screenpipe/pipes/*/pipe.md; do echo \"=== $f ===\"; cat \"$f\"; echo; done","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: AI Habits\ndescription: \"How you use AI tools — patterns and insights\"\nicon: \"🤖\"\nfeatured: true\n---\n\nSearch my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## AI Tools Used\n- List each tool with approximate time spent (e.g. \"Claude: ~45min\")\n\n## What I Used Them For\n- For each tool: coding, writing, research, or brainstorming\n\n## Usage Patterns\n- Do I switch between tools? Use them in bursts or steadily?\n\n## Effectiveness\n- Which tool appeared alongside completed work vs. abandoned attempts\n\nIf no AI usage is found, say so clearly. End with: \"**Tip:** [one suggestion to use AI tools more effectively]\"\n\n=== /volume1/screenpipe/pipes/day-recap/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Day Recap\ndescription: \"Today's accomplishments, key moments, and unfinished work\"\nicon: \"📋\"\nfeatured: true\n---\n\nAnalyze my screen and audio recordings from today (last 16 hours only). \n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Summary\nOne sentence: what I mainly did today.\n\n## Accomplishments\n- Top 3 things I finished, with timestamps (e.g. \"2:30 PM\")\n- Name specific apps, files, or projects\n\n## Key Moments\n- Important things I saw, said, or heard — with timestamps\n\n## Unfinished Work\n- What I should continue tomorrow — name the app/file/task\n\n## Patterns\n- Apps I used most, topics that came up repeatedly\n\nOnly report what you can verify from the data. End with: \"**Next step:** [most important thing to continue]\"\n\n=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Meeting Summary\ndescription: \"Summarize meeting transcript with key takeaways and action items\"\nicon: \"🤝\"\nfeatured: false\n---\n\nSummarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Meeting Summary\nOne sentence: what this meeting was about.\n\n## Key Takeaways\n- Top 3-5 important points discussed\n- Include who said what when relevant\n\n## Action Items\n- [ ] Task — assigned to whom, deadline if mentioned\n- [ ] Task — assigned to whom\n\n## Decisions Made\n- List any decisions or agreements reached\n\n## Open Questions\n- Anything unresolved or needing follow-up\n\nKeep it concise and actionable.\n\n=== /volume1/screenpipe/pipes/standup-update/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Standup Update\ndescription: \"What you did, what's next, and any blockers\"\nicon: \"🏢\"\nfeatured: true\n---\n\nBased on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.\n\nRead screenpipe skill first.\n\nUse this exact format:\n\n## Yesterday\n- What I worked on (name specific projects, files, tools, PRs)\n\n## Today\n- What I will work on next (based on unfinished tasks and recent activity)\n\n## Blockers\n- Issues I hit — errors, slow builds, waiting on someone\n- If no blockers, write \"None\"\n\nKeep it under 150 words. Copy-paste ready for a team standup.\n\n=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Time Breakdown\ndescription: \"Where your time went — by app, project, and category\"\nicon: \"⏱\"\nfeatured: false\n---\n\nAnalyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.\n\nRead screenpipe skill first.\n\nUse this exact format with durations and percentages:\n\n## By Application\n- List each app with duration and percentage, sorted by time (e.g. \"VS Code: 2h 15min (28%)\")\n\n## By Category\n- Group into: coding, meetings, browsing, writing, communication, other\n- Show hours and percentage per category\n\n## By Project\n- Group related activities by project/topic. Name specific repos or tasks.\n\n## Productivity Score\n- Calculate: focused_work_hours / total_hours as a percentage\n- Focused = coding + writing. Unfocused = browsing + switching.\n\nEnd with: \"**Suggestion:** [one specific change to improve tomorrow's productivity]\"\n\n=== /volume1/screenpipe/pipes/video-export/pipe.md ===\n---\nschedule: manual\nenabled: true\ntemplate: true\ntitle: Export Video Clip\ndescription: \"Create a video of your recent screen activity\"\nicon: \"🎬\"\nfeatured: false\n---\n\nExport a video of my screen activity from the last 5 minutes.\n\nRead screenpipe skill first.\n\nUse the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.\n\nIf the export is large, suggest a lower fps or shorter time range.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now I have a clear picture. The pipes are markdown prompt templates in","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/pipes/","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":", but there's no code to actually load and run them —","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/summary.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"has its own hardcoded prompts instead.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Here's what I'll implement:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"consumers/pipes.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— two new endpoints:","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"GET /api/pipes","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"and","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"POST /api/pipes/{pipe_id}/run","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cli.py","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"— a","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"command to run pipes from the terminal","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me build it:","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check browser_urls signature","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"cat /volume1/screenpipe/app/consumers/activity.py | grep \"def browser_urls\" -A 5","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"def browser_urls(\n for_date: date | None = None,\n app_name: str | None = None,\n ts_from: str | None = None,\n ts_to: str | None = None,\n limit: int = 30,","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Write","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"pipes.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"pipes.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"143 lines","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"\"\"\"Dynamic pipe loader and runner.\"\"\"\nimport os\nimport re\nfrom datetime import date\nfrom pathlib import Path\nfrom typing import Any\n\n\ndef _parse_frontmatter(text: str) -> tuple[dict, str]:\n if not text.startswith(\"---\"):\n return {}, text\n try:\n end = text.index(\"---\", 3)\n except ValueError:\n return {}, text\n fm_text = text[3:end].strip()\n body = text[end + 3:].strip()\n meta: dict = {}\n for line in fm_text.splitlines():\n if \":\" in line:\n k, _, v = line.partition(\":\")\n meta[k.strip()] = v.strip().strip('\"')\n return meta, body\n\n\ndef load_pipes(pipes_dir: Path) -> list[dict]:\n if not pipes_dir.exists():\n return []\n pipes = []\n for pipe_dir in sorted(pipes_dir.iterdir()):\n if not pipe_dir.is_dir() or pipe_dir.name.startswith(\".\"):\n continue\n pipe_md = pipe_dir / \"pipe.md\"\n if not pipe_md.exists():\n continue\n text = pipe_md.read_text(encoding=\"utf-8\")\n meta, body = _parse_frontmatter(text)\n if meta.get(\"enabled\", \"true\").lower() == \"false\":\n continue\n body = re.sub(r\"Read screenpipe skill first\\.?\\n?\", \"\", body).strip()\n pipes.append({\n \"id\": pipe_dir.name,\n \"title\": meta.get(\"title\", pipe_dir.name),\n \"description\": meta.get(\"description\", \"\"),\n \"icon\": meta.get(\"icon\", \"\"),\n \"schedule\": meta.get(\"schedule\", \"manual\"),\n \"featured\": meta.get(\"featured\", \"false\").lower() == \"true\",\n \"prompt\": body,\n })\n return pipes\n\n\ndef _build_system(d: date, stats: dict) -> str:\n from consumers.activity import app_time, browser_urls, ui_event_summary\n from consumers.ocr import deduplicated_text\n from consumers.audio import formatted_transcript\n\n apps = app_time(d)\n app_lines = \"\\n\".join(f\"- {a['app_name']}: {a['minutes']} min\" for a in apps[:20])\n\n urls = browser_urls(d, limit=20)\n url_lines = \"\\n\".join(f\"- {u['browser_url'][:100]} ({u['minutes']} min)\" for u in urls)\n\n ui_rows = ui_event_summary(d)\n ui_lines = \"\\n\".join(\n f\"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches\"\n for r in ui_rows[:15]\n )\n\n ocr_rows = deduplicated_text(d, chunk_minutes=5)\n ocr_lines = \"\\n\".join(\n f\"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}\"\n for r in ocr_rows[:100]\n )\n\n audio = formatted_transcript(d)\n if len(audio) > 3000:\n audio = audio[:3000]\n\n return f\"\"\"You are analyzing screenpipe data — recordings of a person's computer activity.\n\n## App usage (minutes per app):\n{app_lines or '(no app data)'}\n\n## Browser URLs visited:\n{url_lines or '(no browser data)'}\n\n## UI activity per app (clicks / keystrokes / app-switches):\n{ui_lines or '(no UI event data)'}\n\n## Screen content (sampled every 5 minutes):\n{ocr_lines or '(no screen data)'}\n\n## Audio / speech:\n{audio or '(no audio data)'}\n\nDate: {d}\nTotal frames recorded: {stats['total_frames']}\"\"\"\n\n\ndef run_pipe(\n pipe_id: str,\n for_date: date | None = None,\n api_key: str | None = None,\n pipes_dir: Path | None = None,\n) -> dict[str, Any]:\n import anthropic\n from consumers.activity import summary_stats\n\n d = for_date or date.today()\n key = api_key or os.environ.get(\"ANTHROPIC_API_KEY\", \"\")\n if not key:\n return {\"title\": \"Error\", \"content\": \"ANTHROPIC_API_KEY not set.\", \"date\": str(d)}\n\n _pipes_dir = pipes_dir or Path(os.environ.get(\"PIPES_DIR\", \"/data/pipes\"))\n all_pipes = {p[\"id\"]: p for p in load_pipes(_pipes_dir)}\n\n if pipe_id not in all_pipes:\n return {\"title\": \"Error\", \"content\": f\"Pipe not found: {pipe_id}\", \"date\": str(d)}\n\n pipe = all_pipes[pipe_id]\n stats = summary_stats(d)\n\n if stats[\"total_frames\"] == 0:\n return {\"title\": pipe[\"title\"], \"content\": f\"No screen data found for {d}.\", \"date\": str(d)}\n\n system = _build_system(d, stats)\n\n client = anthropic.Anthropic(api_key=key)\n message = client.messages.create(\n model=\"claude-haiku-4-5-20251001\",\n max_tokens=1024,\n system=system,\n messages=[{\"role\": \"user\", \"content\": pipe[\"prompt\"]}],\n )\n\n return {\n \"title\": pipe[\"title\"],\n \"content\": message.content[0].text,\n \"date\": str(d),\n \"stats\": stats,\n }","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Now add the API endpoints to","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"main.py","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":":","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Edit","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Shell Script
Editor Language Status: $(copilot) No inline suggestion available, Inline suggestions
LF
UTF-8
Spaces: 2
Ln 39, Col 1
git-commit Lukas Kovalik (2 weeks ago)
Lukas Kovalik (2 weeks ago)
Info: Setting up SSH Host nas: Setting up SSH tunnel
Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md
Read
cli.py
cli.py
Bash
List all pipes and their contents
IN
ls /volume1/screenpipe/pipes/ && for d in /volume1/screenpipe/pipes/*/; do echo "=== $d ==="; ls "$d"; done
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
=== /volume1/screenpipe/pipes/ai-habits/ ===
pipe.md
=== /volume1/screenpipe/pipes/day-recap/ ===
pipe.md
=== /volume1/screenpipe/pipes/meeting-summary/ ===
pipe.md
=== /volume1/screenpipe/pipes/standup-update/ ===
pipe.md
=== /volume1/screenpipe/pipes/time-breakdown/ ===
pipe.md
=== /volume1/screenpipe/pipes/video-export/ ===
pipe.md
Bash
Read pipe markdown files
IN
cat /volume1/screenpipe/pipes/day-recap/pipe.md && echo "===" && cat /volume1/screenpipe/pipes/meeting-summary/pipe.md 2>/dev/null | head -50
Copy code to clipboard
OUT
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
Thinking
Thinking
Bash
Read summary consumer
IN
ls /volume1/screenpipe/app/consumers/ && cat /volume1/screenpipe/app/consumers/summary.py
Copy code to clipboard
OUT
activity.py
audio.py
elements.py
__init__.py
interactions.py
ocr.py
__pycache__
report.py
summary.py
"""AI summary generator using Claude."""
import os
from datetime import date
from typing import Any
from consumers.activity import app_time, summary_stats, browser_urls, ui_event_summary
from consumers.ocr import deduplicated_text
from consumers.audio import formatted_transcript
SUMMARY_TYPES = {
"day_recap": {
"title": "Day Recap",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a concise day recap using EXACTLY this format:
## Summary
One sentence: what I mainly worked on today.
## Accomplishments
- Top 3 things I finished, with approximate times
- Name specific apps, files, or projects
## Key Moments
- Important things seen or heard, with timestamps
## Unfinished Work
- What to continue tomorrow
## Patterns
- Apps used most, topics that came up repeatedly
Only report what you can verify from the data. End with:
**Next step:** [most important thing to continue]""",
},
"standup": {
"title": "Standup Update",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
## Audio/speech:
{audio}
Write a brief standup update:
**Yesterday:** What I worked on (2-3 bullets)
**Today:** What I plan to continue (1-2 bullets)
**Blockers:** Any issues observed (or "None")
Keep it under 150 words. Only report what's verifiable from the data.""",
},
"focus_time": {
"title": "Focus & Distraction Analysis",
"prompt": """\
You are analyzing a person's computer activity for the day.
## App usage (minutes per app):
{app_time}
## Browser URLs visited:
{browser_urls}
## UI activity per app (clicks / keystrokes / app-switches):
{ui_events}
## Screen content (sampled every 5 minutes):
{ocr_text}
Analyze focus vs distraction patterns:
## Deep Work Periods
- When and how long were sustained focus sessions?
- What was being worked on?
## Distractions
- Which apps/sites were used recreationally?
- How much time was lost to context switching?
## Recommendations
- 2-3 concrete suggestions to improve focus tomorrow
Be specific with times and app names.""",
},
}
def _build_context(for_date: date) -> dict[str, str]:
apps = app_time(for_date)
app_lines = "\n".join(f"- {a['app_name']}: {a['minutes']} min" for a in apps[:20])
urls = browser_urls(for_date, limit=20)
url_lines = "\n".join(
f"- {u['browser_url'][:100]} ({u['minutes']} min)" for u in urls
)
ui_rows = ui_event_summary(for_date)
ui_lines = "\n".join(
f"- {r['app_name']}: {r['clicks']} clicks, {r['keystrokes']} keys, {r['switches']} switches"
for r in ui_rows[:15]
)
ocr_rows = deduplicated_text(for_date, chunk_minutes=5)
ocr_lines = "\n".join(
f"[{r['bucket']}] {r['app_name']} / {r['window_name'] or ''}: {r['text'][:200]}"
for r in ocr_rows[:100]
)
audio = formatted_transcript(for_date)
return {
"app_time": app_lines or "(no app data)",
"browser_urls": url_lines or "(no browser data)",
"ui_events": ui_lines or "(no UI event data)",
"ocr_text": ocr_lines or "(no screen data)",
"audio": audio[:3000] if len(audio) > 3000 else audio,
}
def generate(
summary_type: str = "day_recap",
for_date: date | None = None,
api_key: str | None = None,
) -> dict[str, Any]:
"""Generate an AI summary. Returns dict with 'title', 'content', 'date'."""
import anthropic
d = for_date or date.today()
key = api_key or os.environ.get("ANTHROPIC_API_KEY", "")
if not key:
return {
"title": "Error",
"content": "ANTHROPIC_API_KEY not set. Add it to your .env file.",
"date": str(d),
}
spec = SUMMARY_TYPES.get(summary_type)
if not spec:
return {"title": "Error", "content": f"Unknown summary type: {summary_type}", "date": str(d)}
stats = summary_stats(d)
if stats["total_frames"] == 0:
return {
"title": spec["title"],
"content": f"No screen data found for {d}.",
"date": str(d),
}
ctx = _build_context(d)
prompt = spec["prompt"].format(**ctx)
client = anthropic.Anthropic(api_key=key)
message = client.messages.create(
model="claude-haiku-4-5-20251001",
max_tokens=1024,
messages=[{"role": "user", "content": prompt}],
)
return {
"title": spec["title"],
"content": message.content[0].text,
"date": str(d),
"stats": stats,
}
Thinking
Thinking
Bash
Read all pipe.md files
IN
for f in /volume1/screenpipe/pipes/*/pipe.md; do echo "=== $f ==="; cat "$f"; echo; done
Copy code to clipboard
OUT
=== /volume1/screenpipe/pipes/ai-habits/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: AI Habits
description: "How you use AI tools — patterns and insights"
icon: "🤖"
featured: true
---
Search my recordings from the last 24 hours for AI tool usage. Use app_name filter for each tool separately: ChatGPT, Claude, Copilot, Cursor, Gemini, Perplexity. Use limit=5 per search, max 6 searches total.
Read screenpipe skill first.
Use this exact format:
## AI Tools Used
- List each tool with approximate time spent (e.g. "Claude: ~45min")
## What I Used Them For
- For each tool: coding, writing, research, or brainstorming
## Usage Patterns
- Do I switch between tools? Use them in bursts or steadily?
## Effectiveness
- Which tool appeared alongside completed work vs. abandoned attempts
If no AI usage is found, say so clearly. End with: "**Tip:** [one suggestion to use AI tools more effectively]"
=== /volume1/screenpipe/pipes/day-recap/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Day Recap
description: "Today's accomplishments, key moments, and unfinished work"
icon: "📋"
featured: true
---
Analyze my screen and audio recordings from today (last 16 hours only).
Read screenpipe skill first.
Use this exact format:
## Summary
One sentence: what I mainly did today.
## Accomplishments
- Top 3 things I finished, with timestamps (e.g. "2:30 PM")
- Name specific apps, files, or projects
## Key Moments
- Important things I saw, said, or heard — with timestamps
## Unfinished Work
- What I should continue tomorrow — name the app/file/task
## Patterns
- Apps I used most, topics that came up repeatedly
Only report what you can verify from the data. End with: "**Next step:** [most important thing to continue]"
=== /volume1/screenpipe/pipes/meeting-summary/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Meeting Summary
description: "Summarize meeting transcript with key takeaways and action items"
icon: "🤝"
featured: false
---
Summarize the meeting transcript provided in the context. Include key takeaways and action items. If the meeting is marked as ongoing, note that and summarize what's available so far.
Read screenpipe skill first.
Use this exact format:
## Meeting Summary
One sentence: what this meeting was about.
## Key Takeaways
- Top 3-5 important points discussed
- Include who said what when relevant
## Action Items
- [ ] Task — assigned to whom, deadline if mentioned
- [ ] Task — assigned to whom
## Decisions Made
- List any decisions or agreements reached
## Open Questions
- Anything unresolved or needing follow-up
Keep it concise and actionable.
=== /volume1/screenpipe/pipes/standup-update/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Standup Update
description: "What you did, what's next, and any blockers"
icon: "🏢"
featured: true
---
Based on my recordings from the last 24 hours, generate a standup update. Use limit=10 per search, max 3 searches total.
Read screenpipe skill first.
Use this exact format:
## Yesterday
- What I worked on (name specific projects, files, tools, PRs)
## Today
- What I will work on next (based on unfinished tasks and recent activity)
## Blockers
- Issues I hit — errors, slow builds, waiting on someone
- If no blockers, write "None"
Keep it under 150 words. Copy-paste ready for a team standup.
=== /volume1/screenpipe/pipes/time-breakdown/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Time Breakdown
description: "Where your time went — by app, project, and category"
icon: "⏱"
featured: false
---
Analyze my app usage from today (last 12 hours). Use limit=10 per search, max 4 searches. Prefer /raw_sql with COUNT/GROUP BY queries.
Read screenpipe skill first.
Use this exact format with durations and percentages:
## By Application
- List each app with duration and percentage, sorted by time (e.g. "VS Code: 2h 15min (28%)")
## By Category
- Group into: coding, meetings, browsing, writing, communication, other
- Show hours and percentage per category
## By Project
- Group related activities by project/topic. Name specific repos or tasks.
## Productivity Score
- Calculate: focused_work_hours / total_hours as a percentage
- Focused = coding + writing. Unfocused = browsing + switching.
End with: "**Suggestion:** [one specific change to improve tomorrow's productivity]"
=== /volume1/screenpipe/pipes/video-export/pipe.md ===
---
schedule: manual
enabled: true
template: true
title: Export Video Clip
description: "Create a video of your recent screen activity"
icon: "🎬"
featured: false
---
Export a video of my screen activity from the last 5 minutes.
Read screenpipe skill first.
Use the POST /frames/export endpoint with the time range and fps=1.0. Then show me the exported video file path as an inline code block so I can watch it.
If the export is large, suggest a lower fps or shorter time range.
Thinking
Thinking
Now I have a clear picture. The pipes are markdown prompt templates in
/volume1/screenpipe/pipes/
, but there's no code to actually load and run them —
consumers/summary.py
has its own hardcoded prompts instead.
Here's what I'll implement:
consumers/pipes.py
— dynamically loads pipe.md files and runs them via Claude (data injected as system message, pipe body as user prompt)
main.py
— two new endpoints:
GET /api/pipes
and
POST /api/pipes/{pipe_id}/run
cli.py
— a
pipe
command to run pipes from the terminal
Let me build it:
Bash
Check browser_urls signature
IN
cat /volume1/screenpipe/app/consumers/activity.py | grep "def browser_urls" -A 5
Copy code to clipboard
OUT
def browser_urls(
for_date: date | None = None,
app_name: str | None = None,
ts_from: str | None = None,
ts_to: str | None = None,
limit: int = 30,
Write
pipes.py
pipes.py
143 lines
"""Dynamic pipe loader and runner."""
import os
import re
from datetime import date
from pathlib import Path
from typing import Any
def _parse_frontmatter(text: str) -> tuple[dict, str]:
if not text.startswith("---"):
return {}, text
try:
end = text.index("---", 3)
except ValueError:
return {}, text
fm_text = text[3:end].strip()
body = text[end + 3:].strip()
meta: dict = {}
for line in fm_text.splitlines():
if ":" in line:
k, _, v = line.partit...
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21096
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NULL
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NULL
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NULL
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21100
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922
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11
|
2026-05-11T17:12:11.611882+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519531611_m1.jpg...
|
Code
|
screenpipe_sync.sh — screenpipe [SSH: nas]
|
True
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NULL
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monitor_1
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NULL
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NULL
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NULL
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NULL
|
Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧ Explorer (⇧⌘E)
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
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Forwarded Ports: 8766
1
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Ln 29, Col 35
git-commit Lukas Kovalik (2 weeks ago)
Lukas Kovalik (2 weeks ago)
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Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
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OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
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OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard...
|
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to the NAS.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/Test/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables, indexes, FTS\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks\n SELECT * FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames\n SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text\n SELECT o.* FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events\n SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements\n SELECT e.* FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings\n SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"","depth":28,"on_screen":true,"value":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/Test/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables, indexes, FTS\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks\n SELECT * FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames\n SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text\n SELECT o.* FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events\n SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements\n SELECT e.* FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings\n SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"","role_description":"editor","is_enabled":true,"is_focused":true,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/Test/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables, indexes, FTS\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks\n SELECT * FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames\n SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text\n SELECT o.* FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events\n SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements\n SELECT e.* FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings\n SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"","depth":29,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Implement and run pipe l…, Editor Group 2","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXRadioButton","text":"Problems (⇧⌘M)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PROBLEMS","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Output (⇧⌘U)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUTPUT","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Debug Console (⇧⌘Y)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"DEBUG CONSOLE","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Terminal (⌃`)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"TERMINAL","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Ports - 1 forwarded port","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PORTS","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":25,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"remote SSH: nas","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"SSH: nas","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - master*, Checkout Branch/Tag...","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"master*","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - Synchronize Changes","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"No Problems","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Forwarded Ports: 8766","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Notifications","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sign In","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Shell Script","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Editor Language Status: $(copilot) No inline suggestion available, Inline suggestions","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"LF","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"UTF-8","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Spaces: 2","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Ln 29, Col 35","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"git-commit Lukas Kovalik (2 weeks ago)","depth":16,"bounds":{"left":1.0,"top":0.0,"width":-0.07361114,"height":0.024444444},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":1.0,"top":0.0,"width":-0.07708335,"height":0.017777778},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Lukas Kovalik (2 weeks ago)","depth":17,"bounds":{"left":1.0,"top":0.0,"width":-0.08819449,"height":0.015555556},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"No results found","depth":12,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Implement and run pipe logic","depth":19,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":19,"on_screen":true,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":19,"on_screen":true,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"main.py","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lets implement logic with pipes. how can I run it?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me look at the current project structure to understand what's already in place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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Explorer (⇧⌘E)
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Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/Test/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables, indexes, FTS"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks
SELECT * FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames
SELECT * FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text
SELECT o.* FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events
SELECT * FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements
SELECT e.* FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings
SELECT * FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
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Spaces: 2
Ln 29, Col 35
git-commit Lukas Kovalik (2 weeks ago)
Lukas Kovalik (2 weeks ago)
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Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
Copy code to clipboard
OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard...
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NULL
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NULL
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NULL
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NULL
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21104
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922
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12
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2026-05-11T17:12:19.749919+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519539749_m1.jpg...
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Code
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screenpipe_sync.sh — screenpipe [SSH: nas]
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True
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NULL
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monitor_1
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NULL
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NULL
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NULL
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NULL
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Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,
# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,
# so positional mismatches can't occur.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# Tables that get schema drift handling. Order matters for FK-ish references
# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).
SYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────
# Echoes "name|type" lines for a table from a given DB.
table_columns_with_types() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2 "|" $3}'
}
# Echoes just column names, one per line.
table_columns() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2}'
}
# Returns true (0) if a table exists in the given DB.
table_exists() {
local db="$1" table="$2"
local count
count=$(sqlite3 "$db" "SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';")
[ "$count" -gt 0 ]
}
# Adds any columns present in source but missing in NAS for the given table.
# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.
ensure_columns() {
local table="$1"
local label="schema: $table"
printf " %-36s " "$label"
if ! table_exists "$DB_SRC" "$table"; then
printf "✗ source missing — skipping\n"
return 0
fi
if ! table_exists "$NAS_DB" "$table"; then
printf "✓ fresh (created above)\n"
return 0
fi
local src_cols
src_cols=$(table_columns_with_types "$DB_SRC" "$table")
local nas_cols
nas_cols=$(table_columns "$NAS_DB" "$table")
local added=0
local added_names=""
while IFS='|' read -r name type; do
[ -z "$name" ] && continue
# Use grep -F -x for fixed-string exact match (safe against regex chars).
if ! echo "$nas_cols" | grep -Fxq "$name"; then
# SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed
# without a constant default. Default-NULL is exactly what we want for archive.
sqlite3 "$NAS_DB" "ALTER TABLE $table ADD COLUMN \"$name\" $type;"
added=$((added + 1))
added_names="$added_names $name"
fi
done <<< "$src_cols"
if [ "$added" -gt 0 ]; then
printf "✓ added %d:%s\n" "$added" "$added_names"
else
printf "✓ in sync\n"
fi
}
# Echoes a comma-separated list of source columns for a table, double-quoted
# so reserved words and hyphens are safe. If an alias is provided, columns are
# prefixed (e.g. `o."col"`). Used for both INSERT and SELECT sides; aliased
# form is required when SELECTing from a JOIN where column names collide
# (e.g. ocr_text and frames both have app_name, window_name).
build_col_list() {
local table="$1"
local alias="${2:-}"
local prefix=""
[ -n "$alias" ] && prefix="${alias}."
table_columns "$DB_SRC" "$table" | awk 'NF' | awk -v p="$prefix" '{print p "\"" $0 "\""}' | paste -sd, -
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
if table_exists "$NAS_DB" "frames"; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "exists, no frames table yet"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables (CREATE IF NOT EXISTS)"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
# ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────
# Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,
# and pre-existing tables get any missing columns added.
step "Reconciling NAS schema with source"
for tbl in "${SYNC_TABLES[@]}"; do
ensure_columns "$tbl"
done
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────
# After ensure_columns, source ⊆ NAS for every synced table, so source's
# column list is a safe subset to use on both sides of the INSERT.
# For tables that JOIN frames (ocr_text, elements), the SELECT side needs
# alias-qualified columns because both tables share names (app_name, etc).
FRAMES_COLS=$(build_col_list frames)
ELEMENTS_COLS=$(build_col_list elements)
ELEMENTS_COLS_E=$(build_col_list elements e)
UI_EVENTS_COLS=$(build_col_list ui_events)
OCR_TEXT_COLS=$(build_col_list ocr_text)
OCR_TEXT_COLS_O=$(build_col_list ocr_text o)
VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)
MEETINGS_COLS=$(build_col_list meetings)
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)
SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)
SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)
SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)
SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)
SELECT $ELEMENTS_COLS_E FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)
SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── COPY LOGS ────────────────────────────────────────────────────────────────
# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log
# (N is a rotation counter, almost always 0). Mirror them to NAS so log
# analysis can happen on the consumer side without SSH'ing back to the Mac.
step "Copying screenpipe logs for $TARGET_DATE"
NAS_LOGS="$NAS_MOUNT/logs"
mkdir -p "$NAS_LOGS"
# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.
shopt -s nullglob
LOG_FILES=( "$HOME/.screenpipe/screenpipe.$TARGET_DATE."*.log )
shopt -u nullglob
if [ ${#LOG_FILES[@]} -gt 0 ]; then
printf " %-36s " "rsync logs → NAS"
# No --ignore-existing here: logs grow during the day, so we want rsync's
# default size+mtime check to refresh files that have changed.
rsync -a "${LOG_FILES[@]}" "$NAS_LOGS/" 2>>"$LOG_FILE"
COPIED=${#LOG_FILES[@]}
TOTAL_SIZE=$(du -ch "${LOG_FILES[@]}" | tail -1 | cut -f1)
printf "✓ %d file(s), %s\n" "$COPIED" "$TOTAL_SIZE" | tee -a "$LOG_FILE"
else
printf " %-36s %s\n" "rsync logs → NAS" "skipped (no matching logs)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
# Mirror this script's own logbook to NAS so sync health can be monitored
# from the consumer side. Done last so the summary lines above are included.
rsync -a "$HOME/.screenpipe/sync.log" "$NAS_LOGS/sync.log" 2>/dev/null || true
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,
# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,
# so positional mismatches can't occur.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# Tables that get schema drift handling. Order matters for FK-ish references
# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).
SYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────
# Echoes "name|type" lines for a table from a given DB.
table_columns_with_types() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2 "|" $3}'
}
# Echoes just column names, one per line.
table_columns() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2}'
}
# Returns true (0) if a table exists in the given DB.
table_exists() {
local db="$1" table="$2"
local count
count=$(sqlite3 "$db" "SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';")
[ "$count" -gt 0 ]
}
# Adds any columns present in source but missing in NAS for the given table.
# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.
ensure_columns() {
local table="$1"
local label="schema: $table"
printf " %-36s " "$label"
if ! table_exists "$DB_SRC" "$table"; then
printf "✗ source missing — skipping\n"
return 0
fi
if ! table_exists "$NAS_DB" "$table"; then
printf "✓ fresh (created above)\n"
return 0
fi
local src_cols
src_cols=$(table_columns_with_types "$DB_SRC" "$table")
local nas_cols
nas_cols=$(table_columns "$NAS_DB" "$table")
local added=0
local added_names=""
while IFS='|' read -r name type; do
[ -z "$name" ] && continue
# Use grep -F -x for fixed-string exact match (safe against regex chars).
if ! echo "$nas_cols" | grep -Fxq "$name"; then
# SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed
# without a constant default. Default-NULL is exactly what we want for archive.
sqlite3 "$NAS_DB" "ALTER TABLE $table ADD COLUMN \"$name\" $type;"
added=$((added + 1))
added_names="$added_names $name"
fi
done <<< "$src_cols"
if [ "$added" -gt 0 ]; then
printf "✓ added %d:%s\n" "$added" "$added_names"
else
printf "✓ in sync\n"
fi
}
# Echoes a comma-separated list of source columns for a table, double-quoted
# so reserved words and hyphens are safe. If an alias is provided, columns are
# prefixed (e.g. `o."col"`). Used for both INSERT and SELECT sides; aliased
# form is required when SELECTing from a JOIN where column names collide
# (e.g. ocr_text and frames both have app_name, window_name).
build_col_list() {
local table="$1"
local alias="${2:-}"
local prefix=""
[ -n "$alias" ] && prefix="${alias}."
table_columns "$DB_SRC" "$table" | awk 'NF' | awk -v p="$prefix" '{print p "\"" $0 "\""}' | paste -sd, -
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
if table_exists "$NAS_DB" "frames"; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "exists, no frames table yet"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables (CREATE IF NOT EXISTS)"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
# ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────
# Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,
# and pre-existing tables get any missing columns added.
step "Reconciling NAS schema with source"
for tbl in "${SYNC_TABLES[@]}"; do
ensure_columns "$tbl"
done
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────
# After ensure_columns, source ⊆ NAS for every synced table, so source's
# column list is a safe subset to use on both sides of the INSERT.
# For tables that JOIN frames (ocr_text, elements), the SELECT side needs
# alias-qualified columns because both tables share names (app_name, etc).
FRAMES_COLS=$(build_col_list frames)
ELEMENTS_COLS=$(build_col_list elements)
ELEMENTS_COLS_E=$(build_col_list elements e)
UI_EVENTS_COLS=$(build_col_list ui_events)
OCR_TEXT_COLS=$(build_col_list ocr_text)
OCR_TEXT_COLS_O=$(build_col_list ocr_text o)
VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)
MEETINGS_COLS=$(build_col_list meetings)
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)
SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)
SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)
SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)
SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)
SELECT $ELEMENTS_COLS_E FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)
SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── COPY LOGS ────────────────────────────────────────────────────────────────
# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log
# (N is a rotation counter, almost always 0). Mirror them to NAS so log
# analysis can happen on the consumer side without SSH'ing back to the Mac.
step "Copying screenpipe logs for $TARGET_DATE"
NAS_LOGS="$NAS_MOUNT/logs"
mkdir -p "$NAS_LOGS"
# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.
shopt -s nullglob
LOG_FILES=( "$HOME/.screenpipe/screenpipe.$TARGET_DATE."*.log )
shopt -u nullglob
if [ ${#LOG_FILES[@]} -gt 0 ]; then
printf " %-36s " "rsync logs → NAS"
# No --ignore-existing here: logs grow during the day, so we want rsync's
# default size+mtime check to refresh files that have changed.
rsync -a "${LOG_FILES[@]}" "$NAS_LOGS/" 2>>"$LOG_FILE"
COPIED=${#LOG_FILES[@]}
TOTAL_SIZE=$(du -ch "${LOG_FILES[@]}" | tail -1 | cut -f1)
printf "✓ %d file(s), %s\n" "$COPIED" "$TOTAL_SIZE" | tee -a "$LOG_FILE"
else
printf " %-36s %s\n" "rsync logs → NAS" "skipped (no matching logs)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
# Mirror this script's own logbook to NAS so sync health can be monitored
# from the consumer side. Done last so the summary lines above are included.
rsync -a "$HOME/.screenpipe/sync.log" "$NAS_LOGS/sync.log" 2>/dev/null || true
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
No Problems
0
0
Forwarded Ports: 8766
1
Notifications
Sign In
Sign In
Shell Script
Editor Language Status: Inline Suggestions, next: $(copilot) No inline suggestion available, Inline suggestions
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UTF-8
Spaces: 2
Ln 480, Col 3
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Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
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OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
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OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md...
|
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to the NAS.\n#\n# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,\n# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,\n# so positional mismatches can't occur.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# Tables that get schema drift handling. Order matters for FK-ish references\n# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).\nSYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n\n# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────\n# Echoes \"name|type\" lines for a table from a given DB.\ntable_columns_with_types() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2 \"|\" $3}'\n}\n\n# Echoes just column names, one per line.\ntable_columns() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2}'\n}\n\n# Returns true (0) if a table exists in the given DB.\ntable_exists() {\n local db=\"$1\" table=\"$2\"\n local count\n count=$(sqlite3 \"$db\" \"SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';\")\n [ \"$count\" -gt 0 ]\n}\n\n# Adds any columns present in source but missing in NAS for the given table.\n# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.\nensure_columns() {\n local table=\"$1\"\n local label=\"schema: $table\"\n printf \" %-36s \" \"$label\"\n\n if ! table_exists \"$DB_SRC\" \"$table\"; then\n printf \"✗ source missing — skipping\\n\"\n return 0\n fi\n\n if ! table_exists \"$NAS_DB\" \"$table\"; then\n printf \"✓ fresh (created above)\\n\"\n return 0\n fi\n\n local src_cols\n src_cols=$(table_columns_with_types \"$DB_SRC\" \"$table\")\n local nas_cols\n nas_cols=$(table_columns \"$NAS_DB\" \"$table\")\n\n local added=0\n local added_names=\"\"\n while IFS='|' read -r name type; do\n [ -z \"$name\" ] && continue\n # Use grep -F -x for fixed-string exact match (safe against regex chars).\n if ! echo \"$nas_cols\" | grep -Fxq \"$name\"; then\n # SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed\n # without a constant default. Default-NULL is exactly what we want for archive.\n sqlite3 \"$NAS_DB\" \"ALTER TABLE $table ADD COLUMN \\\"$name\\\" $type;\"\n added=$((added + 1))\n added_names=\"$added_names $name\"\n fi\n done <<< \"$src_cols\"\n\n if [ \"$added\" -gt 0 ]; then\n printf \"✓ added %d:%s\\n\" \"$added\" \"$added_names\"\n else\n printf \"✓ in sync\\n\"\n fi\n}\n\n# Echoes a comma-separated list of source columns for a table, double-quoted\n# so reserved words and hyphens are safe. If an alias is provided, columns are\n# prefixed (e.g. `o.\"col\"`). Used for both INSERT and SELECT sides; aliased\n# form is required when SELECTing from a JOIN where column names collide\n# (e.g. ocr_text and frames both have app_name, window_name).\nbuild_col_list() {\n local table=\"$1\"\n local alias=\"${2:-}\"\n local prefix=\"\"\n [ -n \"$alias\" ] && prefix=\"${alias}.\"\n table_columns \"$DB_SRC\" \"$table\" | awk 'NF' | awk -v p=\"$prefix\" '{print p \"\\\"\" $0 \"\\\"\"}' | paste -sd, -\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n if table_exists \"$NAS_DB\" \"frames\"; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\n else\n printf \" %-20s %s\\n\" \"Archive DB:\" \"exists, no frames table yet\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables (CREATE IF NOT EXISTS)\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n # ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────\n # Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,\n # and pre-existing tables get any missing columns added.\n step \"Reconciling NAS schema with source\"\n for tbl in \"${SYNC_TABLES[@]}\"; do\n ensure_columns \"$tbl\"\n done\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────\n # After ensure_columns, source ⊆ NAS for every synced table, so source's\n # column list is a safe subset to use on both sides of the INSERT.\n # For tables that JOIN frames (ocr_text, elements), the SELECT side needs\n # alias-qualified columns because both tables share names (app_name, etc).\n FRAMES_COLS=$(build_col_list frames)\n ELEMENTS_COLS=$(build_col_list elements)\n ELEMENTS_COLS_E=$(build_col_list elements e)\n UI_EVENTS_COLS=$(build_col_list ui_events)\n OCR_TEXT_COLS=$(build_col_list ocr_text)\n OCR_TEXT_COLS_O=$(build_col_list ocr_text o)\n VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)\n MEETINGS_COLS=$(build_col_list meetings)\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)\n SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)\n SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)\n SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)\n SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)\n SELECT $ELEMENTS_COLS_E FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)\n SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── COPY LOGS ────────────────────────────────────────────────────────────────\n# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log\n# (N is a rotation counter, almost always 0). Mirror them to NAS so log\n# analysis can happen on the consumer side without SSH'ing back to the Mac.\nstep \"Copying screenpipe logs for $TARGET_DATE\"\n\nNAS_LOGS=\"$NAS_MOUNT/logs\"\nmkdir -p \"$NAS_LOGS\"\n\n# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.\nshopt -s nullglob\nLOG_FILES=( \"$HOME/.screenpipe/screenpipe.$TARGET_DATE.\"*.log )\nshopt -u nullglob\n\nif [ ${#LOG_FILES[@]} -gt 0 ]; then\n printf \" %-36s \" \"rsync logs → NAS\"\n # No --ignore-existing here: logs grow during the day, so we want rsync's\n # default size+mtime check to refresh files that have changed.\n rsync -a \"${LOG_FILES[@]}\" \"$NAS_LOGS/\" 2>>\"$LOG_FILE\"\n COPIED=${#LOG_FILES[@]}\n TOTAL_SIZE=$(du -ch \"${LOG_FILES[@]}\" | tail -1 | cut -f1)\n printf \"✓ %d file(s), %s\\n\" \"$COPIED\" \"$TOTAL_SIZE\" | tee -a \"$LOG_FILE\"\nelse\n printf \" %-36s %s\\n\" \"rsync logs → NAS\" \"skipped (no matching logs)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"\n\n# Mirror this script's own logbook to NAS so sync health can be monitored\n# from the consumer side. Done last so the summary lines above are included.\nrsync -a \"$HOME/.screenpipe/sync.log\" \"$NAS_LOGS/sync.log\" 2>/dev/null || true","depth":28,"on_screen":true,"value":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,\n# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,\n# so positional mismatches can't occur.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# Tables that get schema drift handling. Order matters for FK-ish references\n# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).\nSYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n\n# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────\n# Echoes \"name|type\" lines for a table from a given DB.\ntable_columns_with_types() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2 \"|\" $3}'\n}\n\n# Echoes just column names, one per line.\ntable_columns() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2}'\n}\n\n# Returns true (0) if a table exists in the given DB.\ntable_exists() {\n local db=\"$1\" table=\"$2\"\n local count\n count=$(sqlite3 \"$db\" \"SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';\")\n [ \"$count\" -gt 0 ]\n}\n\n# Adds any columns present in source but missing in NAS for the given table.\n# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.\nensure_columns() {\n local table=\"$1\"\n local label=\"schema: $table\"\n printf \" %-36s \" \"$label\"\n\n if ! table_exists \"$DB_SRC\" \"$table\"; then\n printf \"✗ source missing — skipping\\n\"\n return 0\n fi\n\n if ! table_exists \"$NAS_DB\" \"$table\"; then\n printf \"✓ fresh (created above)\\n\"\n return 0\n fi\n\n local src_cols\n src_cols=$(table_columns_with_types \"$DB_SRC\" \"$table\")\n local nas_cols\n nas_cols=$(table_columns \"$NAS_DB\" \"$table\")\n\n local added=0\n local added_names=\"\"\n while IFS='|' read -r name type; do\n [ -z \"$name\" ] && continue\n # Use grep -F -x for fixed-string exact match (safe against regex chars).\n if ! echo \"$nas_cols\" | grep -Fxq \"$name\"; then\n # SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed\n # without a constant default. Default-NULL is exactly what we want for archive.\n sqlite3 \"$NAS_DB\" \"ALTER TABLE $table ADD COLUMN \\\"$name\\\" $type;\"\n added=$((added + 1))\n added_names=\"$added_names $name\"\n fi\n done <<< \"$src_cols\"\n\n if [ \"$added\" -gt 0 ]; then\n printf \"✓ added %d:%s\\n\" \"$added\" \"$added_names\"\n else\n printf \"✓ in sync\\n\"\n fi\n}\n\n# Echoes a comma-separated list of source columns for a table, double-quoted\n# so reserved words and hyphens are safe. If an alias is provided, columns are\n# prefixed (e.g. `o.\"col\"`). Used for both INSERT and SELECT sides; aliased\n# form is required when SELECTing from a JOIN where column names collide\n# (e.g. ocr_text and frames both have app_name, window_name).\nbuild_col_list() {\n local table=\"$1\"\n local alias=\"${2:-}\"\n local prefix=\"\"\n [ -n \"$alias\" ] && prefix=\"${alias}.\"\n table_columns \"$DB_SRC\" \"$table\" | awk 'NF' | awk -v p=\"$prefix\" '{print p \"\\\"\" $0 \"\\\"\"}' | paste -sd, -\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n if table_exists \"$NAS_DB\" \"frames\"; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\n else\n printf \" %-20s %s\\n\" \"Archive DB:\" \"exists, no frames table yet\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables (CREATE IF NOT EXISTS)\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n # ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────\n # Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,\n # and pre-existing tables get any missing columns added.\n step \"Reconciling NAS schema with source\"\n for tbl in \"${SYNC_TABLES[@]}\"; do\n ensure_columns \"$tbl\"\n done\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────\n # After ensure_columns, source ⊆ NAS for every synced table, so source's\n # column list is a safe subset to use on both sides of the INSERT.\n # For tables that JOIN frames (ocr_text, elements), the SELECT side needs\n # alias-qualified columns because both tables share names (app_name, etc).\n FRAMES_COLS=$(build_col_list frames)\n ELEMENTS_COLS=$(build_col_list elements)\n ELEMENTS_COLS_E=$(build_col_list elements e)\n UI_EVENTS_COLS=$(build_col_list ui_events)\n OCR_TEXT_COLS=$(build_col_list ocr_text)\n OCR_TEXT_COLS_O=$(build_col_list ocr_text o)\n VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)\n MEETINGS_COLS=$(build_col_list meetings)\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)\n SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)\n SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)\n SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)\n SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)\n SELECT $ELEMENTS_COLS_E FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)\n SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── COPY LOGS ────────────────────────────────────────────────────────────────\n# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log\n# (N is a rotation counter, almost always 0). Mirror them to NAS so log\n# analysis can happen on the consumer side without SSH'ing back to the Mac.\nstep \"Copying screenpipe logs for $TARGET_DATE\"\n\nNAS_LOGS=\"$NAS_MOUNT/logs\"\nmkdir -p \"$NAS_LOGS\"\n\n# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.\nshopt -s nullglob\nLOG_FILES=( \"$HOME/.screenpipe/screenpipe.$TARGET_DATE.\"*.log )\nshopt -u nullglob\n\nif [ ${#LOG_FILES[@]} -gt 0 ]; then\n printf \" %-36s \" \"rsync logs → NAS\"\n # No --ignore-existing here: logs grow during the day, so we want rsync's\n # default size+mtime check to refresh files that have changed.\n rsync -a \"${LOG_FILES[@]}\" \"$NAS_LOGS/\" 2>>\"$LOG_FILE\"\n COPIED=${#LOG_FILES[@]}\n TOTAL_SIZE=$(du -ch \"${LOG_FILES[@]}\" | tail -1 | cut -f1)\n printf \"✓ %d file(s), %s\\n\" \"$COPIED\" \"$TOTAL_SIZE\" | tee -a \"$LOG_FILE\"\nelse\n printf \" %-36s %s\\n\" \"rsync logs → NAS\" \"skipped (no matching logs)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"\n\n# Mirror this script's own logbook to NAS so sync health can be monitored\n# from the consumer side. Done last so the summary lines above are included.\nrsync -a \"$HOME/.screenpipe/sync.log\" \"$NAS_LOGS/sync.log\" 2>/dev/null || true","role_description":"editor","is_enabled":true,"is_focused":true,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,\n# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,\n# so positional mismatches can't occur.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# Tables that get schema drift handling. Order matters for FK-ish references\n# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).\nSYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n\n# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────\n# Echoes \"name|type\" lines for a table from a given DB.\ntable_columns_with_types() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2 \"|\" $3}'\n}\n\n# Echoes just column names, one per line.\ntable_columns() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2}'\n}\n\n# Returns true (0) if a table exists in the given DB.\ntable_exists() {\n local db=\"$1\" table=\"$2\"\n local count\n count=$(sqlite3 \"$db\" \"SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';\")\n [ \"$count\" -gt 0 ]\n}\n\n# Adds any columns present in source but missing in NAS for the given table.\n# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.\nensure_columns() {\n local table=\"$1\"\n local label=\"schema: $table\"\n printf \" %-36s \" \"$label\"\n\n if ! table_exists \"$DB_SRC\" \"$table\"; then\n printf \"✗ source missing — skipping\\n\"\n return 0\n fi\n\n if ! table_exists \"$NAS_DB\" \"$table\"; then\n printf \"✓ fresh (created above)\\n\"\n return 0\n fi\n\n local src_cols\n src_cols=$(table_columns_with_types \"$DB_SRC\" \"$table\")\n local nas_cols\n nas_cols=$(table_columns \"$NAS_DB\" \"$table\")\n\n local added=0\n local added_names=\"\"\n while IFS='|' read -r name type; do\n [ -z \"$name\" ] && continue\n # Use grep -F -x for fixed-string exact match (safe against regex chars).\n if ! echo \"$nas_cols\" | grep -Fxq \"$name\"; then\n # SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed\n # without a constant default. Default-NULL is exactly what we want for archive.\n sqlite3 \"$NAS_DB\" \"ALTER TABLE $table ADD COLUMN \\\"$name\\\" $type;\"\n added=$((added + 1))\n added_names=\"$added_names $name\"\n fi\n done <<< \"$src_cols\"\n\n if [ \"$added\" -gt 0 ]; then\n printf \"✓ added %d:%s\\n\" \"$added\" \"$added_names\"\n else\n printf \"✓ in sync\\n\"\n fi\n}\n\n# Echoes a comma-separated list of source columns for a table, double-quoted\n# so reserved words and hyphens are safe. If an alias is provided, columns are\n# prefixed (e.g. `o.\"col\"`). Used for both INSERT and SELECT sides; aliased\n# form is required when SELECTing from a JOIN where column names collide\n# (e.g. ocr_text and frames both have app_name, window_name).\nbuild_col_list() {\n local table=\"$1\"\n local alias=\"${2:-}\"\n local prefix=\"\"\n [ -n \"$alias\" ] && prefix=\"${alias}.\"\n table_columns \"$DB_SRC\" \"$table\" | awk 'NF' | awk -v p=\"$prefix\" '{print p \"\\\"\" $0 \"\\\"\"}' | paste -sd, -\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n if table_exists \"$NAS_DB\" \"frames\"; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\n else\n printf \" %-20s %s\\n\" \"Archive DB:\" \"exists, no frames table yet\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables (CREATE IF NOT EXISTS)\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n # ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────\n # Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,\n # and pre-existing tables get any missing columns added.\n step \"Reconciling NAS schema with source\"\n for tbl in \"${SYNC_TABLES[@]}\"; do\n ensure_columns \"$tbl\"\n done\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────\n # After ensure_columns, source ⊆ NAS for every synced table, so source's\n # column list is a safe subset to use on both sides of the INSERT.\n # For tables that JOIN frames (ocr_text, elements), the SELECT side needs\n # alias-qualified columns because both tables share names (app_name, etc).\n FRAMES_COLS=$(build_col_list frames)\n ELEMENTS_COLS=$(build_col_list elements)\n ELEMENTS_COLS_E=$(build_col_list elements e)\n UI_EVENTS_COLS=$(build_col_list ui_events)\n OCR_TEXT_COLS=$(build_col_list ocr_text)\n OCR_TEXT_COLS_O=$(build_col_list ocr_text o)\n VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)\n MEETINGS_COLS=$(build_col_list meetings)\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)\n SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)\n SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)\n SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)\n SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)\n SELECT $ELEMENTS_COLS_E FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)\n SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── COPY LOGS ────────────────────────────────────────────────────────────────\n# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log\n# (N is a rotation counter, almost always 0). Mirror them to NAS so log\n# analysis can happen on the consumer side without SSH'ing back to the Mac.\nstep \"Copying screenpipe logs for $TARGET_DATE\"\n\nNAS_LOGS=\"$NAS_MOUNT/logs\"\nmkdir -p \"$NAS_LOGS\"\n\n# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.\nshopt -s nullglob\nLOG_FILES=( \"$HOME/.screenpipe/screenpipe.$TARGET_DATE.\"*.log )\nshopt -u nullglob\n\nif [ ${#LOG_FILES[@]} -gt 0 ]; then\n printf \" %-36s \" \"rsync logs → NAS\"\n # No --ignore-existing here: logs grow during the day, so we want rsync's\n # default size+mtime check to refresh files that have changed.\n rsync -a \"${LOG_FILES[@]}\" \"$NAS_LOGS/\" 2>>\"$LOG_FILE\"\n COPIED=${#LOG_FILES[@]}\n TOTAL_SIZE=$(du -ch \"${LOG_FILES[@]}\" | tail -1 | cut -f1)\n printf \"✓ %d file(s), %s\\n\" \"$COPIED\" \"$TOTAL_SIZE\" | tee -a \"$LOG_FILE\"\nelse\n printf \" %-36s %s\\n\" \"rsync logs → NAS\" \"skipped (no matching logs)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"\n\n# Mirror this script's own logbook to NAS so sync health can be monitored\n# from the consumer side. 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3","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"git-commit Not Committed Yet","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Not Committed Yet","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"No results found","depth":12,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Implement and run pipe logic","depth":19,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":19,"on_screen":true,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":19,"on_screen":true,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"main.py","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lets implement logic with pipes. how can I run it?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me look at the current project structure to understand what's already in place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ai-habits\nday-recap\nmeeting-summary\nstandup-update\ntime-breakdown\nvideo-export\ncli.py\nconsumers\ndb.py\ndocker-compose.yml\nDockerfile\nmain.py\n__pycache__\nrequirements.txt\nstatic\nservices:\n screenpipe-app:\n build: .\n container_name: screenpipe-app\n restart: unless-stopped\n ports:\n - \"8766:8000\"\n volumes:\n - /volume1/screenpipe:/data\n env_file:\n - .env\n environment:\n TZ: Europe/Sofia\n DB_PATH: /data/db.sqlite\n\n sqlite-web-archive:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-archive\n restart: unless-stopped\n ports:\n - \"8767:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/archive.db\"]\n\n sqlite-web-live:\n image: ghcr.io/coleifer/sqlite-web:latest\n container_name: screenpipe-sqlweb-live\n restart: unless-stopped\n ports:\n - \"8768:8080\"\n volumes:\n - /volume1/screenpipe:/data\n command: [\"-H\", \"0.0.0.0\", \"-r\", \"/data/db.sqlite\"]","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"requirements.txt","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"requirements.txt","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Inspect a pipe directory","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"pipe.md\npipe.md","depth":24,"on_screen":false,"role_description":"text"}]...
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Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,
# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,
# so positional mismatches can't occur.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# Tables that get schema drift handling. Order matters for FK-ish references
# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).
SYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────
# Echoes "name|type" lines for a table from a given DB.
table_columns_with_types() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2 "|" $3}'
}
# Echoes just column names, one per line.
table_columns() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2}'
}
# Returns true (0) if a table exists in the given DB.
table_exists() {
local db="$1" table="$2"
local count
count=$(sqlite3 "$db" "SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';")
[ "$count" -gt 0 ]
}
# Adds any columns present in source but missing in NAS for the given table.
# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.
ensure_columns() {
local table="$1"
local label="schema: $table"
printf " %-36s " "$label"
if ! table_exists "$DB_SRC" "$table"; then
printf "✗ source missing — skipping\n"
return 0
fi
if ! table_exists "$NAS_DB" "$table"; then
printf "✓ fresh (created above)\n"
return 0
fi
local src_cols
src_cols=$(table_columns_with_types "$DB_SRC" "$table")
local nas_cols
nas_cols=$(table_columns "$NAS_DB" "$table")
local added=0
local added_names=""
while IFS='|' read -r name type; do
[ -z "$name" ] && continue
# Use grep -F -x for fixed-string exact match (safe against regex chars).
if ! echo "$nas_cols" | grep -Fxq "$name"; then
# SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed
# without a constant default. Default-NULL is exactly what we want for archive.
sqlite3 "$NAS_DB" "ALTER TABLE $table ADD COLUMN \"$name\" $type;"
added=$((added + 1))
added_names="$added_names $name"
fi
done <<< "$src_cols"
if [ "$added" -gt 0 ]; then
printf "✓ added %d:%s\n" "$added" "$added_names"
else
printf "✓ in sync\n"
fi
}
# Echoes a comma-separated list of source columns for a table, double-quoted
# so reserved words and hyphens are safe. If an alias is provided, columns are
# prefixed (e.g. `o."col"`). Used for both INSERT and SELECT sides; aliased
# form is required when SELECTing from a JOIN where column names collide
# (e.g. ocr_text and frames both have app_name, window_name).
build_col_list() {
local table="$1"
local alias="${2:-}"
local prefix=""
[ -n "$alias" ] && prefix="${alias}."
table_columns "$DB_SRC" "$table" | awk 'NF' | awk -v p="$prefix" '{print p "\"" $0 "\""}' | paste -sd, -
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
if table_exists "$NAS_DB" "frames"; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "exists, no frames table yet"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables (CREATE IF NOT EXISTS)"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
# ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────
# Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,
# and pre-existing tables get any missing columns added.
step "Reconciling NAS schema with source"
for tbl in "${SYNC_TABLES[@]}"; do
ensure_columns "$tbl"
done
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────
# After ensure_columns, source ⊆ NAS for every synced table, so source's
# column list is a safe subset to use on both sides of the INSERT.
# For tables that JOIN frames (ocr_text, elements), the SELECT side needs
# alias-qualified columns because both tables share names (app_name, etc).
FRAMES_COLS=$(build_col_list frames)
ELEMENTS_COLS=$(build_col_list elements)
ELEMENTS_COLS_E=$(build_col_list elements e)
UI_EVENTS_COLS=$(build_col_list ui_events)
OCR_TEXT_COLS=$(build_col_list ocr_text)
OCR_TEXT_COLS_O=$(build_col_list ocr_text o)
VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)
MEETINGS_COLS=$(build_col_list meetings)
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)
SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)
SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)
SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)
SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)
SELECT $ELEMENTS_COLS_E FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)
SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── COPY LOGS ────────────────────────────────────────────────────────────────
# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log
# (N is a rotation counter, almost always 0). Mirror them to NAS so log
# analysis can happen on the consumer side without SSH'ing back to the Mac.
step "Copying screenpipe logs for $TARGET_DATE"
NAS_LOGS="$NAS_MOUNT/logs"
mkdir -p "$NAS_LOGS"
# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.
shopt -s nullglob
LOG_FILES=( "$HOME/.screenpipe/screenpipe.$TARGET_DATE."*.log )
shopt -u nullglob
if [ ${#LOG_FILES[@]} -gt 0 ]; then
printf " %-36s " "rsync logs → NAS"
# No --ignore-existing here: logs grow during the day, so we want rsync's
# default size+mtime check to refresh files that have changed.
rsync -a "${LOG_FILES[@]}" "$NAS_LOGS/" 2>>"$LOG_FILE"
COPIED=${#LOG_FILES[@]}
TOTAL_SIZE=$(du -ch "${LOG_FILES[@]}" | tail -1 | cut -f1)
printf "✓ %d file(s), %s\n" "$COPIED" "$TOTAL_SIZE" | tee -a "$LOG_FILE"
else
printf " %-36s %s\n" "rsync logs → NAS" "skipped (no matching logs)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
# Mirror this script's own logbook to NAS so sync health can be monitored
# from the consumer side. Done last so the summary lines above are included.
rsync -a "$HOME/.screenpipe/sync.log" "$NAS_LOGS/sync.log" 2>/dev/null || true
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,
# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,
# so positional mismatches can't occur.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# Tables that get schema drift handling. Order matters for FK-ish references
# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).
SYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────
# Echoes "name|type" lines for a table from a given DB.
table_columns_with_types() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2 "|" $3}'
}
# Echoes just column names, one per line.
table_columns() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2}'
}
# Returns true (0) if a table exists in the given DB.
table_exists() {
local db="$1" table="$2"
local count
count=$(sqlite3 "$db" "SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';")
[ "$count" -gt 0 ]
}
# Adds any columns present in source but missing in NAS for the given table.
# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.
ensure_columns() {
local table="$1"
local label="schema: $table"
printf " %-36s " "$label"
if ! table_exists "$DB_SRC" "$table"; then
printf "✗ source missing — skipping\n"
return 0
fi
if ! table_exists "$NAS_DB" "$table"; then
printf "✓ fresh (created above)\n"
return 0
fi
local src_cols
src_cols=$(table_columns_with_types "$DB_SRC" "$table")
local nas_cols
nas_cols=$(table_columns "$NAS_DB" "$table")
local added=0
local added_names=""
while IFS='|' read -r name type; do
[ -z "$name" ] && continue
# Use grep -F -x for fixed-string exact match (safe against regex chars).
if ! echo "$nas_cols" | grep -Fxq "$name"; then
# SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed
# without a constant default. Default-NULL is exactly what we want for archive.
sqlite3 "$NAS_DB" "ALTER TABLE $table ADD COLUMN \"$name\" $type;"
added=$((added + 1))
added_names="$added_names $name"
fi
done <<< "$src_cols"
if [ "$added" -gt 0 ]; then
printf "✓ added %d:%s\n" "$added" "$added_names"
else
printf "✓ in sync\n"
fi
}
# Echoes a comma-separated list of source columns for a table, double-quoted
# so reserved words and hyphens are safe. If an alias is provided, columns are
# prefixed (e.g. `o."col"`). Used for both INSERT and SELECT sides; aliased
# form is required when SELECTing from a JOIN where column names collide
# (e.g. ocr_text and frames both have app_name, window_name).
build_col_list() {
local table="$1"
local alias="${2:-}"
local prefix=""
[ -n "$alias" ] && prefix="${alias}."
table_columns "$DB_SRC" "$table" | awk 'NF' | awk -v p="$prefix" '{print p "\"" $0 "\""}' | paste -sd, -
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
if table_exists "$NAS_DB" "frames"; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "exists, no frames table yet"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables (CREATE IF NOT EXISTS)"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
# ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────
# Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,
# and pre-existing tables get any missing columns added.
step "Reconciling NAS schema with source"
for tbl in "${SYNC_TABLES[@]}"; do
ensure_columns "$tbl"
done
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────
# After ensure_columns, source ⊆ NAS for every synced table, so source's
# column list is a safe subset to use on both sides of the INSERT.
# For tables that JOIN frames (ocr_text, elements), the SELECT side needs
# alias-qualified columns because both tables share names (app_name, etc).
FRAMES_COLS=$(build_col_list frames)
ELEMENTS_COLS=$(build_col_list elements)
ELEMENTS_COLS_E=$(build_col_list elements e)
UI_EVENTS_COLS=$(build_col_list ui_events)
OCR_TEXT_COLS=$(build_col_list ocr_text)
OCR_TEXT_COLS_O=$(build_col_list ocr_text o)
VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)
MEETINGS_COLS=$(build_col_list meetings)
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)
SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)
SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)
SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)
SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)
SELECT $ELEMENTS_COLS_E FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)
SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── COPY LOGS ────────────────────────────────────────────────────────────────
# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log
# (N is a rotation counter, almost always 0). Mirror them to NAS so log
# analysis can happen on the consumer side without SSH'ing back to the Mac.
step "Copying screenpipe logs for $TARGET_DATE"
NAS_LOGS="$NAS_MOUNT/logs"
mkdir -p "$NAS_LOGS"
# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.
shopt -s nullglob
LOG_FILES=( "$HOME/.screenpipe/screenpipe.$TARGET_DATE."*.log )
shopt -u nullglob
if [ ${#LOG_FILES[@]} -gt 0 ]; then
printf " %-36s " "rsync logs → NAS"
# No --ignore-existing here: logs grow during the day, so we want rsync's
# default size+mtime check to refresh files that have changed.
rsync -a "${LOG_FILES[@]}" "$NAS_LOGS/" 2>>"$LOG_FILE"
COPIED=${#LOG_FILES[@]}
TOTAL_SIZE=$(du -ch "${LOG_FILES[@]}" | tail -1 | cut -f1)
printf "✓ %d file(s), %s\n" "$COPIED" "$TOTAL_SIZE" | tee -a "$LOG_FILE"
else
printf " %-36s %s\n" "rsync logs → NAS" "skipped (no matching logs)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
# Mirror this script's own logbook to NAS so sync health can be monitored
# from the consumer side. Done last so the summary lines above are included.
rsync -a "$HOME/.screenpipe/sync.log" "$NAS_LOGS/sync.log" 2>/dev/null || true
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
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Forwarded Ports: 8766
1
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Implement and run pipe logic
Session history
New session
Message actions
main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
Copy code to clipboard
OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
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OUT
ai-habits
day-recap
meeting-summary
standup-update
time-breakdown
video-export
cli.py
consumers
db.py
docker-compose.yml
Dockerfile
main.py
__pycache__
requirements.txt
static
services:
screenpipe-app:
build: .
container_name: screenpipe-app
restart: unless-stopped
ports:
- "8766:8000"
volumes:
- /volume1/screenpipe:/data
env_file:
- .env
environment:
TZ: Europe/Sofia
DB_PATH: /data/db.sqlite
sqlite-web-archive:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-archive
restart: unless-stopped
ports:
- "8767:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/archive.db"]
sqlite-web-live:
image: ghcr.io/coleifer/sqlite-web:latest
container_name: screenpipe-sqlweb-live
restart: unless-stopped
ports:
- "8768:8080"
volumes:
- /volume1/screenpipe:/data
command: ["-H", "[IP_ADDRESS]", "-r", "/data/db.sqlite"]
Read
requirements.txt
requirements.txt
Bash
Inspect a pipe directory
IN
ls /volume1/screenpipe/pipes/day-recap/ && cat /volume1/screenpipe/pipes/day-recap/pipe.json 2>/dev/null || ls /volume1/screenpipe/pipes/day-recap/
Copy code to clipboard
OUT
pipe.md
pipe.md...
|
21100
|
NULL
|
NULL
|
NULL
|
|
21106
|
922
|
13
|
2026-05-11T17:12:23.695816+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519543695_m1.jpg...
|
Code
|
screenpipe_sync.sh — screenpipe [SSH: nas]
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,
# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,
# so positional mismatches can't occur.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# Tables that get schema drift handling. Order matters for FK-ish references
# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).
SYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────
# Echoes "name|type" lines for a table from a given DB.
table_columns_with_types() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2 "|" $3}'
}
# Echoes just column names, one per line.
table_columns() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2}'
}
# Returns true (0) if a table exists in the given DB.
table_exists() {
local db="$1" table="$2"
local count
count=$(sqlite3 "$db" "SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';")
[ "$count" -gt 0 ]
}
# Adds any columns present in source but missing in NAS for the given table.
# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.
ensure_columns() {
local table="$1"
local label="schema: $table"
printf " %-36s " "$label"
if ! table_exists "$DB_SRC" "$table"; then
printf "✗ source missing — skipping\n"
return 0
fi
if ! table_exists "$NAS_DB" "$table"; then
printf "✓ fresh (created above)\n"
return 0
fi
local src_cols
src_cols=$(table_columns_with_types "$DB_SRC" "$table")
local nas_cols
nas_cols=$(table_columns "$NAS_DB" "$table")
local added=0
local added_names=""
while IFS='|' read -r name type; do
[ -z "$name" ] && continue
# Use grep -F -x for fixed-string exact match (safe against regex chars).
if ! echo "$nas_cols" | grep -Fxq "$name"; then
# SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed
# without a constant default. Default-NULL is exactly what we want for archive.
sqlite3 "$NAS_DB" "ALTER TABLE $table ADD COLUMN \"$name\" $type;"
added=$((added + 1))
added_names="$added_names $name"
fi
done <<< "$src_cols"
if [ "$added" -gt 0 ]; then
printf "✓ added %d:%s\n" "$added" "$added_names"
else
printf "✓ in sync\n"
fi
}
# Echoes a comma-separated list of source columns for a table, double-quoted
# so reserved words and hyphens are safe. If an alias is provided, columns are
# prefixed (e.g. `o."col"`). Used for both INSERT and SELECT sides; aliased
# form is required when SELECTing from a JOIN where column names collide
# (e.g. ocr_text and frames both have app_name, window_name).
build_col_list() {
local table="$1"
local alias="${2:-}"
local prefix=""
[ -n "$alias" ] && prefix="${alias}."
table_columns "$DB_SRC" "$table" | awk 'NF' | awk -v p="$prefix" '{print p "\"" $0 "\""}' | paste -sd, -
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
if table_exists "$NAS_DB" "frames"; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "exists, no frames table yet"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables (CREATE IF NOT EXISTS)"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
# ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────
# Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,
# and pre-existing tables get any missing columns added.
step "Reconciling NAS schema with source"
for tbl in "${SYNC_TABLES[@]}"; do
ensure_columns "$tbl"
done
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────
# After ensure_columns, source ⊆ NAS for every synced table, so source's
# column list is a safe subset to use on both sides of the INSERT.
# For tables that JOIN frames (ocr_text, elements), the SELECT side needs
# alias-qualified columns because both tables share names (app_name, etc).
FRAMES_COLS=$(build_col_list frames)
ELEMENTS_COLS=$(build_col_list elements)
ELEMENTS_COLS_E=$(build_col_list elements e)
UI_EVENTS_COLS=$(build_col_list ui_events)
OCR_TEXT_COLS=$(build_col_list ocr_text)
OCR_TEXT_COLS_O=$(build_col_list ocr_text o)
VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)
MEETINGS_COLS=$(build_col_list meetings)
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)
SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)
SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)
SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)
SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)
SELECT $ELEMENTS_COLS_E FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)
SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── COPY LOGS ────────────────────────────────────────────────────────────────
# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log
# (N is a rotation counter, almost always 0). Mirror them to NAS so log
# analysis can happen on the consumer side without SSH'ing back to the Mac.
step "Copying screenpipe logs for $TARGET_DATE"
NAS_LOGS="$NAS_MOUNT/logs"
mkdir -p "$NAS_LOGS"
# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.
shopt -s nullglob
LOG_FILES=( "$HOME/.screenpipe/screenpipe.$TARGET_DATE."*.log )
shopt -u nullglob
if [ ${#LOG_FILES[@]} -gt 0 ]; then
printf " %-36s " "rsync logs → NAS"
# No --ignore-existing here: logs grow during the day, so we want rsync's
# default size+mtime check to refresh files that have changed.
rsync -a "${LOG_FILES[@]}" "$NAS_LOGS/" 2>>"$LOG_FILE"
COPIED=${#LOG_FILES[@]}
TOTAL_SIZE=$(du -ch "${LOG_FILES[@]}" | tail -1 | cut -f1)
printf "✓ %d file(s), %s\n" "$COPIED" "$TOTAL_SIZE" | tee -a "$LOG_FILE"
else
printf " %-36s %s\n" "rsync logs → NAS" "skipped (no matching logs)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
# Mirror this script's own logbook to NAS so sync health can be monitored
# from the consumer side. Done last so the summary lines above are included.
rsync -a "$HOME/.screenpipe/sync.log" "$NAS_LOGS/sync.log" 2>/dev/null || true
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,
# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,
# so positional mismatches can't occur.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# Tables that get schema drift handling. Order matters for FK-ish references
# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).
SYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────
# Echoes "name|type" lines for a table from a given DB.
table_columns_with_types() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2 "|" $3}'
}
# Echoes just column names, one per line.
table_columns() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2}'
}
# Returns true (0) if a table exists in the given DB.
table_exists() {
local db="$1" table="$2"
local count
count=$(sqlite3 "$db" "SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';")
[ "$count" -gt 0 ]
}
# Adds any columns present in source but missing in NAS for the given table.
# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.
ensure_columns() {
local table="$1"
local label="schema: $table"
printf " %-36s " "$label"
if ! table_exists "$DB_SRC" "$table"; then
printf "✗ source missing — skipping\n"
return 0
fi
if ! table_exists "$NAS_DB" "$table"; then
printf "✓ fresh (created above)\n"
return 0
fi
local src_cols
src_cols=$(table_columns_with_types "$DB_SRC" "$table")
local nas_cols
nas_cols=$(table_columns "$NAS_DB" "$table")
local added=0
local added_names=""
while IFS='|' read -r name type; do
[ -z "$name" ] && continue
# Use grep -F -x for fixed-string exact match (safe against regex chars).
if ! echo "$nas_cols" | grep -Fxq "$name"; then
# SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed
# without a constant default. Default-NULL is exactly what we want for archive.
sqlite3 "$NAS_DB" "ALTER TABLE $table ADD COLUMN \"$name\" $type;"
added=$((added + 1))
added_names="$added_names $name"
fi
done <<< "$src_cols"
if [ "$added" -gt 0 ]; then
printf "✓ added %d:%s\n" "$added" "$added_names"
else
printf "✓ in sync\n"
fi
}
# Echoes a comma-separated list of source columns for a table, double-quoted
# so reserved words and hyphens are safe. If an alias is provided, columns are
# prefixed (e.g. `o."col"`). Used for both INSERT and SELECT sides; aliased
# form is required when SELECTing from a JOIN where column names collide
# (e.g. ocr_text and frames both have app_name, window_name).
build_col_list() {
local table="$1"
local alias="${2:-}"
local prefix=""
[ -n "$alias" ] && prefix="${alias}."
table_columns "$DB_SRC" "$table" | awk 'NF' | awk -v p="$prefix" '{print p "\"" $0 "\""}' | paste -sd, -
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
if table_exists "$NAS_DB" "frames"; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "exists, no frames table yet"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables (CREATE IF NOT EXISTS)"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
# ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────
# Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,
# and pre-existing tables get any missing columns added.
step "Reconciling NAS schema with source"
for tbl in "${SYNC_TABLES[@]}"; do
ensure_columns "$tbl"
done
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────
# After ensure_columns, source ⊆ NAS for every synced table, so source's
# column list is a safe subset to use on both sides of the INSERT.
# For tables that JOIN frames (ocr_text, elements), the SELECT side needs
# alias-qualified columns because both tables share names (app_name, etc).
FRAMES_COLS=$(build_col_list frames)
ELEMENTS_COLS=$(build_col_list elements)
ELEMENTS_COLS_E=$(build_col_list elements e)
UI_EVENTS_COLS=$(build_col_list ui_events)
OCR_TEXT_COLS=$(build_col_list ocr_text)
OCR_TEXT_COLS_O=$(build_col_list ocr_text o)
VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)
MEETINGS_COLS=$(build_col_list meetings)
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)
SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)
SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)
SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)
SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)
SELECT $ELEMENTS_COLS_E FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)
SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── COPY LOGS ────────────────────────────────────────────────────────────────
# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log
# (N is a rotation counter, almost always 0). Mirror them to NAS so log
# analysis can happen on the consumer side without SSH'ing back to the Mac.
step "Copying screenpipe logs for $TARGET_DATE"
NAS_LOGS="$NAS_MOUNT/logs"
mkdir -p "$NAS_LOGS"
# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.
shopt -s nullglob
LOG_FILES=( "$HOME/.screenpipe/screenpipe.$TARGET_DATE."*.log )
shopt -u nullglob
if [ ${#LOG_FILES[@]} -gt 0 ]; then
printf " %-36s " "rsync logs → NAS"
# No --ignore-existing here: logs grow during the day, so we want rsync's
# default size+mtime check to refresh files that have changed.
rsync -a "${LOG_FILES[@]}" "$NAS_LOGS/" 2>>"$LOG_FILE"
COPIED=${#LOG_FILES[@]}
TOTAL_SIZE=$(du -ch "${LOG_FILES[@]}" | tail -1 | cut -f1)
printf "✓ %d file(s), %s\n" "$COPIED" "$TOTAL_SIZE" | tee -a "$LOG_FILE"
else
printf " %-36s %s\n" "rsync logs → NAS" "skipped (no matching logs)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
# Mirror this script's own logbook to NAS so sync health can be monitored
# from the consumer side. Done last so the summary lines above are included.
rsync -a "$HOME/.screenpipe/sync.log" "$NAS_LOGS/sync.log" 2>/dev/null || true
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
...
|
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to the NAS.\n#\n# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,\n# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,\n# so positional mismatches can't occur.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# Tables that get schema drift handling. Order matters for FK-ish references\n# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).\nSYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n\n# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────\n# Echoes \"name|type\" lines for a table from a given DB.\ntable_columns_with_types() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2 \"|\" $3}'\n}\n\n# Echoes just column names, one per line.\ntable_columns() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2}'\n}\n\n# Returns true (0) if a table exists in the given DB.\ntable_exists() {\n local db=\"$1\" table=\"$2\"\n local count\n count=$(sqlite3 \"$db\" \"SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';\")\n [ \"$count\" -gt 0 ]\n}\n\n# Adds any columns present in source but missing in NAS for the given table.\n# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.\nensure_columns() {\n local table=\"$1\"\n local label=\"schema: $table\"\n printf \" %-36s \" \"$label\"\n\n if ! table_exists \"$DB_SRC\" \"$table\"; then\n printf \"✗ source missing — skipping\\n\"\n return 0\n fi\n\n if ! table_exists \"$NAS_DB\" \"$table\"; then\n printf \"✓ fresh (created above)\\n\"\n return 0\n fi\n\n local src_cols\n src_cols=$(table_columns_with_types \"$DB_SRC\" \"$table\")\n local nas_cols\n nas_cols=$(table_columns \"$NAS_DB\" \"$table\")\n\n local added=0\n local added_names=\"\"\n while IFS='|' read -r name type; do\n [ -z \"$name\" ] && continue\n # Use grep -F -x for fixed-string exact match (safe against regex chars).\n if ! echo \"$nas_cols\" | grep -Fxq \"$name\"; then\n # SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed\n # without a constant default. Default-NULL is exactly what we want for archive.\n sqlite3 \"$NAS_DB\" \"ALTER TABLE $table ADD COLUMN \\\"$name\\\" $type;\"\n added=$((added + 1))\n added_names=\"$added_names $name\"\n fi\n done <<< \"$src_cols\"\n\n if [ \"$added\" -gt 0 ]; then\n printf \"✓ added %d:%s\\n\" \"$added\" \"$added_names\"\n else\n printf \"✓ in sync\\n\"\n fi\n}\n\n# Echoes a comma-separated list of source columns for a table, double-quoted\n# so reserved words and hyphens are safe. If an alias is provided, columns are\n# prefixed (e.g. `o.\"col\"`). Used for both INSERT and SELECT sides; aliased\n# form is required when SELECTing from a JOIN where column names collide\n# (e.g. ocr_text and frames both have app_name, window_name).\nbuild_col_list() {\n local table=\"$1\"\n local alias=\"${2:-}\"\n local prefix=\"\"\n [ -n \"$alias\" ] && prefix=\"${alias}.\"\n table_columns \"$DB_SRC\" \"$table\" | awk 'NF' | awk -v p=\"$prefix\" '{print p \"\\\"\" $0 \"\\\"\"}' | paste -sd, -\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n if table_exists \"$NAS_DB\" \"frames\"; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\n else\n printf \" %-20s %s\\n\" \"Archive DB:\" \"exists, no frames table yet\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables (CREATE IF NOT EXISTS)\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n # ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────\n # Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,\n # and pre-existing tables get any missing columns added.\n step \"Reconciling NAS schema with source\"\n for tbl in \"${SYNC_TABLES[@]}\"; do\n ensure_columns \"$tbl\"\n done\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────\n # After ensure_columns, source ⊆ NAS for every synced table, so source's\n # column list is a safe subset to use on both sides of the INSERT.\n # For tables that JOIN frames (ocr_text, elements), the SELECT side needs\n # alias-qualified columns because both tables share names (app_name, etc).\n FRAMES_COLS=$(build_col_list frames)\n ELEMENTS_COLS=$(build_col_list elements)\n ELEMENTS_COLS_E=$(build_col_list elements e)\n UI_EVENTS_COLS=$(build_col_list ui_events)\n OCR_TEXT_COLS=$(build_col_list ocr_text)\n OCR_TEXT_COLS_O=$(build_col_list ocr_text o)\n VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)\n MEETINGS_COLS=$(build_col_list meetings)\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)\n SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)\n SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)\n SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)\n SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)\n SELECT $ELEMENTS_COLS_E FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)\n SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── COPY LOGS ────────────────────────────────────────────────────────────────\n# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log\n# (N is a rotation counter, almost always 0). Mirror them to NAS so log\n# analysis can happen on the consumer side without SSH'ing back to the Mac.\nstep \"Copying screenpipe logs for $TARGET_DATE\"\n\nNAS_LOGS=\"$NAS_MOUNT/logs\"\nmkdir -p \"$NAS_LOGS\"\n\n# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.\nshopt -s nullglob\nLOG_FILES=( \"$HOME/.screenpipe/screenpipe.$TARGET_DATE.\"*.log )\nshopt -u nullglob\n\nif [ ${#LOG_FILES[@]} -gt 0 ]; then\n printf \" %-36s \" \"rsync logs → NAS\"\n # No --ignore-existing here: logs grow during the day, so we want rsync's\n # default size+mtime check to refresh files that have changed.\n rsync -a \"${LOG_FILES[@]}\" \"$NAS_LOGS/\" 2>>\"$LOG_FILE\"\n COPIED=${#LOG_FILES[@]}\n TOTAL_SIZE=$(du -ch \"${LOG_FILES[@]}\" | tail -1 | cut -f1)\n printf \"✓ %d file(s), %s\\n\" \"$COPIED\" \"$TOTAL_SIZE\" | tee -a \"$LOG_FILE\"\nelse\n printf \" %-36s %s\\n\" \"rsync logs → NAS\" \"skipped (no matching logs)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"\n\n# Mirror this script's own logbook to NAS so sync health can be monitored\n# from the consumer side. Done last so the summary lines above are included.\nrsync -a \"$HOME/.screenpipe/sync.log\" \"$NAS_LOGS/sync.log\" 2>/dev/null || true","depth":28,"on_screen":true,"value":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,\n# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,\n# so positional mismatches can't occur.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# Tables that get schema drift handling. Order matters for FK-ish references\n# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).\nSYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n\n# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────\n# Echoes \"name|type\" lines for a table from a given DB.\ntable_columns_with_types() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2 \"|\" $3}'\n}\n\n# Echoes just column names, one per line.\ntable_columns() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2}'\n}\n\n# Returns true (0) if a table exists in the given DB.\ntable_exists() {\n local db=\"$1\" table=\"$2\"\n local count\n count=$(sqlite3 \"$db\" \"SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';\")\n [ \"$count\" -gt 0 ]\n}\n\n# Adds any columns present in source but missing in NAS for the given table.\n# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.\nensure_columns() {\n local table=\"$1\"\n local label=\"schema: $table\"\n printf \" %-36s \" \"$label\"\n\n if ! table_exists \"$DB_SRC\" \"$table\"; then\n printf \"✗ source missing — skipping\\n\"\n return 0\n fi\n\n if ! table_exists \"$NAS_DB\" \"$table\"; then\n printf \"✓ fresh (created above)\\n\"\n return 0\n fi\n\n local src_cols\n src_cols=$(table_columns_with_types \"$DB_SRC\" \"$table\")\n local nas_cols\n nas_cols=$(table_columns \"$NAS_DB\" \"$table\")\n\n local added=0\n local added_names=\"\"\n while IFS='|' read -r name type; do\n [ -z \"$name\" ] && continue\n # Use grep -F -x for fixed-string exact match (safe against regex chars).\n if ! echo \"$nas_cols\" | grep -Fxq \"$name\"; then\n # SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed\n # without a constant default. Default-NULL is exactly what we want for archive.\n sqlite3 \"$NAS_DB\" \"ALTER TABLE $table ADD COLUMN \\\"$name\\\" $type;\"\n added=$((added + 1))\n added_names=\"$added_names $name\"\n fi\n done <<< \"$src_cols\"\n\n if [ \"$added\" -gt 0 ]; then\n printf \"✓ added %d:%s\\n\" \"$added\" \"$added_names\"\n else\n printf \"✓ in sync\\n\"\n fi\n}\n\n# Echoes a comma-separated list of source columns for a table, double-quoted\n# so reserved words and hyphens are safe. If an alias is provided, columns are\n# prefixed (e.g. `o.\"col\"`). Used for both INSERT and SELECT sides; aliased\n# form is required when SELECTing from a JOIN where column names collide\n# (e.g. ocr_text and frames both have app_name, window_name).\nbuild_col_list() {\n local table=\"$1\"\n local alias=\"${2:-}\"\n local prefix=\"\"\n [ -n \"$alias\" ] && prefix=\"${alias}.\"\n table_columns \"$DB_SRC\" \"$table\" | awk 'NF' | awk -v p=\"$prefix\" '{print p \"\\\"\" $0 \"\\\"\"}' | paste -sd, -\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n if table_exists \"$NAS_DB\" \"frames\"; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\n else\n printf \" %-20s %s\\n\" \"Archive DB:\" \"exists, no frames table yet\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables (CREATE IF NOT EXISTS)\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n # ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────\n # Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,\n # and pre-existing tables get any missing columns added.\n step \"Reconciling NAS schema with source\"\n for tbl in \"${SYNC_TABLES[@]}\"; do\n ensure_columns \"$tbl\"\n done\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────\n # After ensure_columns, source ⊆ NAS for every synced table, so source's\n # column list is a safe subset to use on both sides of the INSERT.\n # For tables that JOIN frames (ocr_text, elements), the SELECT side needs\n # alias-qualified columns because both tables share names (app_name, etc).\n FRAMES_COLS=$(build_col_list frames)\n ELEMENTS_COLS=$(build_col_list elements)\n ELEMENTS_COLS_E=$(build_col_list elements e)\n UI_EVENTS_COLS=$(build_col_list ui_events)\n OCR_TEXT_COLS=$(build_col_list ocr_text)\n OCR_TEXT_COLS_O=$(build_col_list ocr_text o)\n VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)\n MEETINGS_COLS=$(build_col_list meetings)\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)\n SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)\n SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)\n SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)\n SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)\n SELECT $ELEMENTS_COLS_E FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)\n SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── COPY LOGS ────────────────────────────────────────────────────────────────\n# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log\n# (N is a rotation counter, almost always 0). Mirror them to NAS so log\n# analysis can happen on the consumer side without SSH'ing back to the Mac.\nstep \"Copying screenpipe logs for $TARGET_DATE\"\n\nNAS_LOGS=\"$NAS_MOUNT/logs\"\nmkdir -p \"$NAS_LOGS\"\n\n# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.\nshopt -s nullglob\nLOG_FILES=( \"$HOME/.screenpipe/screenpipe.$TARGET_DATE.\"*.log )\nshopt -u nullglob\n\nif [ ${#LOG_FILES[@]} -gt 0 ]; then\n printf \" %-36s \" \"rsync logs → NAS\"\n # No --ignore-existing here: logs grow during the day, so we want rsync's\n # default size+mtime check to refresh files that have changed.\n rsync -a \"${LOG_FILES[@]}\" \"$NAS_LOGS/\" 2>>\"$LOG_FILE\"\n COPIED=${#LOG_FILES[@]}\n TOTAL_SIZE=$(du -ch \"${LOG_FILES[@]}\" | tail -1 | cut -f1)\n printf \"✓ %d file(s), %s\\n\" \"$COPIED\" \"$TOTAL_SIZE\" | tee -a \"$LOG_FILE\"\nelse\n printf \" %-36s %s\\n\" \"rsync logs → NAS\" \"skipped (no matching logs)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"\n\n# Mirror this script's own logbook to NAS so sync health can be monitored\n# from the consumer side. Done last so the summary lines above are included.\nrsync -a \"$HOME/.screenpipe/sync.log\" \"$NAS_LOGS/sync.log\" 2>/dev/null || true","role_description":"editor","is_enabled":true,"is_focused":true,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,\n# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,\n# so positional mismatches can't occur.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# Tables that get schema drift handling. Order matters for FK-ish references\n# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).\nSYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n\n# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────\n# Echoes \"name|type\" lines for a table from a given DB.\ntable_columns_with_types() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2 \"|\" $3}'\n}\n\n# Echoes just column names, one per line.\ntable_columns() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2}'\n}\n\n# Returns true (0) if a table exists in the given DB.\ntable_exists() {\n local db=\"$1\" table=\"$2\"\n local count\n count=$(sqlite3 \"$db\" \"SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';\")\n [ \"$count\" -gt 0 ]\n}\n\n# Adds any columns present in source but missing in NAS for the given table.\n# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.\nensure_columns() {\n local table=\"$1\"\n local label=\"schema: $table\"\n printf \" %-36s \" \"$label\"\n\n if ! table_exists \"$DB_SRC\" \"$table\"; then\n printf \"✗ source missing — skipping\\n\"\n return 0\n fi\n\n if ! table_exists \"$NAS_DB\" \"$table\"; then\n printf \"✓ fresh (created above)\\n\"\n return 0\n fi\n\n local src_cols\n src_cols=$(table_columns_with_types \"$DB_SRC\" \"$table\")\n local nas_cols\n nas_cols=$(table_columns \"$NAS_DB\" \"$table\")\n\n local added=0\n local added_names=\"\"\n while IFS='|' read -r name type; do\n [ -z \"$name\" ] && continue\n # Use grep -F -x for fixed-string exact match (safe against regex chars).\n if ! echo \"$nas_cols\" | grep -Fxq \"$name\"; then\n # SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed\n # without a constant default. Default-NULL is exactly what we want for archive.\n sqlite3 \"$NAS_DB\" \"ALTER TABLE $table ADD COLUMN \\\"$name\\\" $type;\"\n added=$((added + 1))\n added_names=\"$added_names $name\"\n fi\n done <<< \"$src_cols\"\n\n if [ \"$added\" -gt 0 ]; then\n printf \"✓ added %d:%s\\n\" \"$added\" \"$added_names\"\n else\n printf \"✓ in sync\\n\"\n fi\n}\n\n# Echoes a comma-separated list of source columns for a table, double-quoted\n# so reserved words and hyphens are safe. If an alias is provided, columns are\n# prefixed (e.g. `o.\"col\"`). Used for both INSERT and SELECT sides; aliased\n# form is required when SELECTing from a JOIN where column names collide\n# (e.g. ocr_text and frames both have app_name, window_name).\nbuild_col_list() {\n local table=\"$1\"\n local alias=\"${2:-}\"\n local prefix=\"\"\n [ -n \"$alias\" ] && prefix=\"${alias}.\"\n table_columns \"$DB_SRC\" \"$table\" | awk 'NF' | awk -v p=\"$prefix\" '{print p \"\\\"\" $0 \"\\\"\"}' | paste -sd, -\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n if table_exists \"$NAS_DB\" \"frames\"; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\n else\n printf \" %-20s %s\\n\" \"Archive DB:\" \"exists, no frames table yet\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables (CREATE IF NOT EXISTS)\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n # ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────\n # Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,\n # and pre-existing tables get any missing columns added.\n step \"Reconciling NAS schema with source\"\n for tbl in \"${SYNC_TABLES[@]}\"; do\n ensure_columns \"$tbl\"\n done\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────\n # After ensure_columns, source ⊆ NAS for every synced table, so source's\n # column list is a safe subset to use on both sides of the INSERT.\n # For tables that JOIN frames (ocr_text, elements), the SELECT side needs\n # alias-qualified columns because both tables share names (app_name, etc).\n FRAMES_COLS=$(build_col_list frames)\n ELEMENTS_COLS=$(build_col_list elements)\n ELEMENTS_COLS_E=$(build_col_list elements e)\n UI_EVENTS_COLS=$(build_col_list ui_events)\n OCR_TEXT_COLS=$(build_col_list ocr_text)\n OCR_TEXT_COLS_O=$(build_col_list ocr_text o)\n VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)\n MEETINGS_COLS=$(build_col_list meetings)\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)\n SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)\n SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)\n SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)\n SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)\n SELECT $ELEMENTS_COLS_E FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)\n SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── COPY LOGS ────────────────────────────────────────────────────────────────\n# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log\n# (N is a rotation counter, almost always 0). Mirror them to NAS so log\n# analysis can happen on the consumer side without SSH'ing back to the Mac.\nstep \"Copying screenpipe logs for $TARGET_DATE\"\n\nNAS_LOGS=\"$NAS_MOUNT/logs\"\nmkdir -p \"$NAS_LOGS\"\n\n# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.\nshopt -s nullglob\nLOG_FILES=( \"$HOME/.screenpipe/screenpipe.$TARGET_DATE.\"*.log )\nshopt -u nullglob\n\nif [ ${#LOG_FILES[@]} -gt 0 ]; then\n printf \" %-36s \" \"rsync logs → NAS\"\n # No --ignore-existing here: logs grow during the day, so we want rsync's\n # default size+mtime check to refresh files that have changed.\n rsync -a \"${LOG_FILES[@]}\" \"$NAS_LOGS/\" 2>>\"$LOG_FILE\"\n COPIED=${#LOG_FILES[@]}\n TOTAL_SIZE=$(du -ch \"${LOG_FILES[@]}\" | tail -1 | cut -f1)\n printf \"✓ %d file(s), %s\\n\" \"$COPIED\" \"$TOTAL_SIZE\" | tee -a \"$LOG_FILE\"\nelse\n printf \" %-36s %s\\n\" \"rsync logs → NAS\" \"skipped (no matching logs)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"\n\n# Mirror this script's own logbook to NAS so sync health can be monitored\n# from the consumer side. Done last so the summary lines above are included.\nrsync -a \"$HOME/.screenpipe/sync.log\" \"$NAS_LOGS/sync.log\" 2>/dev/null || true","depth":29,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Implement and run pipe l…, Editor Group 2","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXRadioButton","text":"Problems (⇧⌘M)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PROBLEMS","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Output (⇧⌘U)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUTPUT","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Debug Console (⇧⌘Y)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"DEBUG CONSOLE","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Terminal (⌃`)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"TERMINAL","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Ports - 1 forwarded port","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PORTS","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":25,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"remote SSH: nas","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"}]...
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Explorer (⇧⌘E) - 1 unsaved file
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Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,
# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,
# so positional mismatches can't occur.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# Tables that get schema drift handling. Order matters for FK-ish references
# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).
SYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────
# Echoes "name|type" lines for a table from a given DB.
table_columns_with_types() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2 "|" $3}'
}
# Echoes just column names, one per line.
table_columns() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2}'
}
# Returns true (0) if a table exists in the given DB.
table_exists() {
local db="$1" table="$2"
local count
count=$(sqlite3 "$db" "SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';")
[ "$count" -gt 0 ]
}
# Adds any columns present in source but missing in NAS for the given table.
# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.
ensure_columns() {
local table="$1"
local label="schema: $table"
printf " %-36s " "$label"
if ! table_exists "$DB_SRC" "$table"; then
printf "✗ source missing — skipping\n"
return 0
fi
if ! table_exists "$NAS_DB" "$table"; then
printf "✓ fresh (created above)\n"
return 0
fi
local src_cols
src_cols=$(table_columns_with_types "$DB_SRC" "$table")
local nas_cols
nas_cols=$(table_columns "$NAS_DB" "$table")
local added=0
local added_names=""
while IFS='|' read -r name type; do
[ -z "$name" ] && continue
# Use grep -F -x for fixed-string exact match (safe against regex chars).
if ! echo "$nas_cols" | grep -Fxq "$name"; then
# SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed
# without a constant default. Default-NULL is exactly what we want for archive.
sqlite3 "$NAS_DB" "ALTER TABLE $table ADD COLUMN \"$name\" $type;"
added=$((added + 1))
added_names="$added_names $name"
fi
done <<< "$src_cols"
if [ "$added" -gt 0 ]; then
printf "✓ added %d:%s\n" "$added" "$added_names"
else
printf "✓ in sync\n"
fi
}
# Echoes a comma-separated list of source columns for a table, double-quoted
# so reserved words and hyphens are safe. If an alias is provided, columns are
# prefixed (e.g. `o."col"`). Used for both INSERT and SELECT sides; aliased
# form is required when SELECTing from a JOIN where column names collide
# (e.g. ocr_text and frames both have app_name, window_name).
build_col_list() {
local table="$1"
local alias="${2:-}"
local prefix=""
[ -n "$alias" ] && prefix="${alias}."
table_columns "$DB_SRC" "$table" | awk 'NF' | awk -v p="$prefix" '{print p "\"" $0 "\""}' | paste -sd, -
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
if table_exists "$NAS_DB" "frames"; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "exists, no frames table yet"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables (CREATE IF NOT EXISTS)"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
# ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────
# Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,
# and pre-existing tables get any missing columns added.
step "Reconciling NAS schema with source"
for tbl in "${SYNC_TABLES[@]}"; do
ensure_columns "$tbl"
done
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────
# After ensure_columns, source ⊆ NAS for every synced table, so source's
# column list is a safe subset to use on both sides of the INSERT.
# For tables that JOIN frames (ocr_text, elements), the SELECT side needs
# alias-qualified columns because both tables share names (app_name, etc).
FRAMES_COLS=$(build_col_list frames)
ELEMENTS_COLS=$(build_col_list elements)
ELEMENTS_COLS_E=$(build_col_list elements e)
UI_EVENTS_COLS=$(build_col_list ui_events)
OCR_TEXT_COLS=$(build_col_list ocr_text)
OCR_TEXT_COLS_O=$(build_col_list ocr_text o)
VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)
MEETINGS_COLS=$(build_col_list meetings)
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)
SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)
SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)
SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)
SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)
SELECT $ELEMENTS_COLS_E FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)
SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── COPY LOGS ────────────────────────────────────────────────────────────────
# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log
# (N is a rotation counter, almost always 0). Mirror them to NAS so log
# analysis can happen on the consumer side without SSH'ing back to the Mac.
step "Copying screenpipe logs for $TARGET_DATE"
NAS_LOGS="$NAS_MOUNT/logs"
mkdir -p "$NAS_LOGS"
# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.
shopt -s nullglob
LOG_FILES=( "$HOME/.screenpipe/screenpipe.$TARGET_DATE."*.log )
shopt -u nullglob
if [ ${#LOG_FILES[@]} -gt 0 ]; then
printf " %-36s " "rsync logs → NAS"
# No --ignore-existing here: logs grow during the day, so we want rsync's
# default size+mtime check to refresh files that have changed.
rsync -a "${LOG_FILES[@]}" "$NAS_LOGS/" 2>>"$LOG_FILE"
COPIED=${#LOG_FILES[@]}
TOTAL_SIZE=$(du -ch "${LOG_FILES[@]}" | tail -1 | cut -f1)
printf "✓ %d file(s), %s\n" "$COPIED" "$TOTAL_SIZE" | tee -a "$LOG_FILE"
else
printf " %-36s %s\n" "rsync logs → NAS" "skipped (no matching logs)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
# Mirror this script's own logbook to NAS so sync health can be monitored
# from the consumer side. Done last so the summary lines above are included.
rsync -a "$HOME/.screenpipe/sync.log" "$NAS_LOGS/sync.log" 2>/dev/null || true
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,
# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,
# so positional mismatches can't occur.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# Tables that get schema drift handling. Order matters for FK-ish references
# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).
SYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────
# Echoes "name|type" lines for a table from a given DB.
table_columns_with_types() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2 "|" $3}'
}
# Echoes just column names, one per line.
table_columns() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2}'
}
# Returns true (0) if a table exists in the given DB.
table_exists() {
local db="$1" table="$2"
local count
count=$(sqlite3 "$db" "SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';")
[ "$count" -gt 0 ]
}
# Adds any columns present in source but missing in NAS for the given table.
# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.
ensure_columns() {
local table="$1"
local label="schema: $table"
printf " %-36s " "$label"
if ! table_exists "$DB_SRC" "$table"; then
printf "✗ source missing — skipping\n"
return 0
fi
if ! table_exists "$NAS_DB" "$table"; then
printf "✓ fresh (created above)\n"
return 0
fi
local src_cols
src_cols=$(table_columns_with_types "$DB_SRC" "$table")
local nas_cols
nas_cols=$(table_columns "$NAS_DB" "$table")
local added=0
local added_names=""
while IFS='|' read -r name type; do
[ -z "$name" ] && continue
# Use grep -F -x for fixed-string exact match (safe against regex chars).
if ! echo "$nas_cols" | grep -Fxq "$name"; then
# SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed
# without a constant default. Default-NULL is exactly what we want for archive.
sqlite3 "$NAS_DB" "ALTER TABLE $table ADD COLUMN \"$name\" $type;"
added=$((added + 1))
added_names="$added_names $name"
fi
done <<< "$src_cols"
if [ "$added" -gt 0 ]; then
printf "✓ added %d:%s\n" "$added" "$added_names"
else
printf "✓ in sync\n"
fi
}
# Echoes a comma-separated list of source columns for a table, double-quoted
# so reserved words and hyphens are safe. If an alias is provided, columns are
# prefixed (e.g. `o."col"`). Used for both INSERT and SELECT sides; aliased
# form is required when SELECTing from a JOIN where column names collide
# (e.g. ocr_text and frames both have app_name, window_name).
build_col_list() {
local table="$1"
local alias="${2:-}"
local prefix=""
[ -n "$alias" ] && prefix="${alias}."
table_columns "$DB_SRC" "$table" | awk 'NF' | awk -v p="$prefix" '{print p "\"" $0 "\""}' | paste -sd, -
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
if table_exists "$NAS_DB" "frames"; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "exists, no frames table yet"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables (CREATE IF NOT EXISTS)"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
# ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────
# Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,
# and pre-existing tables get any missing columns added.
step "Reconciling NAS schema with source"
for tbl in "${SYNC_TABLES[@]}"; do
ensure_columns "$tbl"
done
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────
# After ensure_columns, source ⊆ NAS for every synced table, so source's
# column list is a safe subset to use on both sides of the INSERT.
# For tables that JOIN frames (ocr_text, elements), the SELECT side needs
# alias-qualified columns because both tables share names (app_name, etc).
FRAMES_COLS=$(build_col_list frames)
ELEMENTS_COLS=$(build_col_list elements)
ELEMENTS_COLS_E=$(build_col_list elements e)
UI_EVENTS_COLS=$(build_col_list ui_events)
OCR_TEXT_COLS=$(build_col_list ocr_text)
OCR_TEXT_COLS_O=$(build_col_list ocr_text o)
VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)
MEETINGS_COLS=$(build_col_list meetings)
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)
SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)
SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)
SELECT $OCR_TEXT_COLS_O FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)
SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)
SELECT $ELEMENTS_COLS_E FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)
SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── COPY LOGS ────────────────────────────────────────────────────────────────
# Screenpipe writes daily logs to ~/.screenpipe/screenpipe.YYYY-MM-DD.N.log
# (N is a rotation counter, almost always 0). Mirror them to NAS so log
# analysis can happen on the consumer side without SSH'ing back to the Mac.
step "Copying screenpipe logs for $TARGET_DATE"
NAS_LOGS="$NAS_MOUNT/logs"
mkdir -p "$NAS_LOGS"
# Use a glob with nullglob so an empty match doesn't expand to a literal pattern.
shopt -s nullglob
LOG_FILES=( "$HOME/.screenpipe/screenpipe.$TARGET_DATE."*.log )
shopt -u nullglob
if [ ${#LOG_FILES[@]} -gt 0 ]; then
printf " %-36s " "rsync logs → NAS"
# No --ignore-existing here: logs grow during the day, so we want rsync's
# default size+mtime check to refresh files that have changed.
rsync -a "${LOG_FILES[@]}" "$NAS_LOGS/" 2>>"$LOG_FILE"
COPIED=${#LOG_FILES[@]}
TOTAL_SIZE=$(du -ch "${LOG_FILES[@]}" | tail -1 | cut -f1)
printf "✓ %d file(s), %s\n" "$COPIED" "$TOTAL_SIZE" | tee -a "$LOG_FILE"
else
printf " %-36s %s\n" "rsync logs → NAS" "skipped (no matching logs)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
# Mirror this script's own logbook to NAS so sync health can be monitored
# from the consumer side. Done last so the summary lines above are included.
rsync -a "$HOME/.screenpipe/sync.log" "$NAS_LOGS/sync.log" 2>/dev/null || true
Implement and run pipe l…, Editor Group 2
Problems (⇧⌘M)
PROBLEMS
Output (⇧⌘U)
OUTPUT
Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
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screenpipe_sync.sh — screenpipe [SSH: nas]
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Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
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cli.py
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Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
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Implement and run pipe l… — screenpipe [SSH: nas]
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Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
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.env
cli.py...
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Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
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1
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
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Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
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pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
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screenpipe_sync_updated.sh — screenpipe [SSH: nas] screenpipe_sync_updated.sh — screenpipe [SSH: nas] — Untracked...
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Explorer (⇧⌘E) - 1 unsaved file
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Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
screenpipe_sync_updated.sh, preview, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,
# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,
# so positional mismatches can't occur.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# Tables that get schema drift handling. Order matters for FK-ish references
# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).
SYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────
# Echoes "name|type" lines for a table from a given DB.
table_columns_with_types() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2 "|" $3}'
}
# Echoes just column names, one per line.
table_columns() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2}'
}
# Returns true (0) if a table exists in the given DB.
table_exists() {
local db="$1" table="$2"
local count
count=$(sqlite3 "$db" "SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';")
[ "$count" -gt 0 ]
}
# Adds any columns present in source but missing in NAS for the given table.
# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.
ensure_columns() {
local table="$1"
local label="schema: $table"
printf " %-36s " "$label"
if ! table_exists "$DB_SRC" "$table"; then
printf "✗ source missing — skipping\n"
return 0
fi
if ! table_exists "$NAS_DB" "$table"; then
printf "✓ fresh (created above)\n"
return 0
fi
local src_cols
src_cols=$(table_columns_with_types "$DB_SRC" "$table")
local nas_cols
nas_cols=$(table_columns "$NAS_DB" "$table")
local added=0
local added_names=""
while IFS='|' read -r name type; do
[ -z "$name" ] && continue
# Use grep -F -x for fixed-string exact match (safe against regex chars).
if ! echo "$nas_cols" | grep -Fxq "$name"; then
# SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed
# without a constant default. Default-NULL is exactly what we want for archive.
sqlite3 "$NAS_DB" "ALTER TABLE $table ADD COLUMN \"$name\" $type;"
added=$((added + 1))
added_names="$added_names $name"
fi
done <<< "$src_cols"
if [ "$added" -gt 0 ]; then
printf "✓ added %d:%s\n" "$added" "$added_names"
else
printf "✓ in sync\n"
fi
}
# Echoes a comma-separated list of source columns for a table, double-quoted
# so reserved words and hyphens are safe. Used for both INSERT and SELECT sides.
build_col_list() {
local table="$1"
table_columns "$DB_SRC" "$table" | awk 'NF' | sed 's/.*/"&"/' | paste -sd, -
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
if table_exists "$NAS_DB" "frames"; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "exists, no frames table yet"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables (CREATE IF NOT EXISTS)"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
# ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────
# Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,
# and pre-existing tables get any missing columns added.
step "Reconciling NAS schema with source"
for tbl in "${SYNC_TABLES[@]}"; do
ensure_columns "$tbl"
done
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────
# After ensure_columns, source ⊆ NAS for every synced table, so source's
# column list is a safe subset to use on both sides of the INSERT.
FRAMES_COLS=$(build_col_list frames)
ELEMENTS_COLS=$(build_col_list elements)
UI_EVENTS_COLS=$(build_col_list ui_events)
OCR_TEXT_COLS=$(build_col_list ocr_text)
VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)
MEETINGS_COLS=$(build_col_list meetings)
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)
SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)
SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)
SELECT $OCR_TEXT_COLS FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)
SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)
SELECT $ELEMENTS_COLS FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)
SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# NOTE: the elements/ocr_text inserts use unqualified column names while
# selecting from a JOIN. SQLite resolves them against the leftmost table
# that has the column, which is what we want here (e.* / o.* implicitly),
# because none of the column names collide with frames'.
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,
# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,
# so positional mismatches can't occur.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# Tables that get schema drift handling. Order matters for FK-ish references
# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).
SYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────
# Echoes "name|type" lines for a table from a given DB.
table_columns_with_types() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2 "|" $3}'
}
# Echoes just column names, one per line.
table_columns() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2}'
}
# Returns true (0) if a table exists in the given DB.
table_exists() {
local db="$1" table="$2"
local count
count=$(sqlite3 "$db" "SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';")
[ "$count" -gt 0 ]
}
# Adds any columns present in source but missing in NAS for the given table.
# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.
ensure_columns() {
local table="$1"
local label="schema: $table"
printf " %-36s " "$label"
if ! table_exists "$DB_SRC" "$table"; then
printf "✗ source missing — skipping\n"
return 0
fi
if ! table_exists "$NAS_DB" "$table"; then
printf "✓ fresh (created above)\n"
return 0
fi
local src_cols
src_cols=$(table_columns_with_types "$DB_SRC" "$table")
local nas_cols
nas_cols=$(table_columns "$NAS_DB" "$table")
local added=0
local added_names=""
while IFS='|' read -r name type; do
[ -z "$name" ] && continue
# Use grep -F -x for fixed-string exact match (safe against regex chars).
if ! echo "$nas_cols" | grep -Fxq "$name"; then
# SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed
# without a constant default. Default-NULL is exactly what we want for archive.
sqlite3 "$NAS_DB" "ALTER TABLE $table ADD COLUMN \"$name\" $type;"
added=$((added + 1))
added_names="$added_names $name"
fi
done <<< "$src_cols"
if [ "$added" -gt 0 ]; then
printf "✓ added %d:%s\n" "$added" "$added_names"
else
printf "✓ in sync\n"
fi
}
# Echoes a comma-separated list of source columns for a table, double-quoted
# so reserved words and hyphens are safe. Used for both INSERT and SELECT sides.
build_col_list() {
local table="$1"
table_columns "$DB_SRC" "$table" | awk 'NF' | sed 's/.*/"&"/' | paste -sd, -
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
if table_exists "$NAS_DB" "frames"; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "exists, no frames table yet"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables (CREATE IF NOT EXISTS)"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
# ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────
# Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,
# and pre-existing tables get any missing columns added.
step "Reconciling NAS schema with source"
for tbl in "${SYNC_TABLES[@]}"; do
ensure_columns "$tbl"
done
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────
# After ensure_columns, source ⊆ NAS for every synced table, so source's
# column list is a safe subset to use on both sides of the INSERT.
FRAMES_COLS=$(build_col_list frames)
ELEMENTS_COLS=$(build_col_list elements)
UI_EVENTS_COLS=$(build_col_list ui_events)
OCR_TEXT_COLS=$(build_col_list ocr_text)
VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)
MEETINGS_COLS=$(build_col_list meetings)
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)
SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)
SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)
SELECT $OCR_TEXT_COLS FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)
SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)
SELECT $ELEMENTS_COLS FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)
SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# NOTE: the elements/ocr_text inserts use unqualified column names while
# selecting from a JOIN. SQLite resolves them against the leftmost table
# that has the column, which is what we want here (e.* / o.* implicitly),
# because none of the column names collide with frames'.
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
Implement and run pipe l…, Editor Group 2
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Debug Console (⇧⌘Y)
DEBUG CONSOLE
Terminal (⌃`)
TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
master*
screenpipe (Git) - Synchronize Changes
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Implement and run pipe logic
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main.py
main.py
lets implement logic with pipes. how can I run it?
Thinking
Thinking
Let me look at the current project structure to understand what's already in place.
Bash
List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
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OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
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|
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1","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXTextArea","text":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,\n# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,\n# so positional mismatches can't occur.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# Tables that get schema drift handling. Order matters for FK-ish references\n# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).\nSYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n\n# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────\n# Echoes \"name|type\" lines for a table from a given DB.\ntable_columns_with_types() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2 \"|\" $3}'\n}\n\n# Echoes just column names, one per line.\ntable_columns() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2}'\n}\n\n# Returns true (0) if a table exists in the given DB.\ntable_exists() {\n local db=\"$1\" table=\"$2\"\n local count\n count=$(sqlite3 \"$db\" \"SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';\")\n [ \"$count\" -gt 0 ]\n}\n\n# Adds any columns present in source but missing in NAS for the given table.\n# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.\nensure_columns() {\n local table=\"$1\"\n local label=\"schema: $table\"\n printf \" %-36s \" \"$label\"\n\n if ! table_exists \"$DB_SRC\" \"$table\"; then\n printf \"✗ source missing — skipping\\n\"\n return 0\n fi\n\n if ! table_exists \"$NAS_DB\" \"$table\"; then\n printf \"✓ fresh (created above)\\n\"\n return 0\n fi\n\n local src_cols\n src_cols=$(table_columns_with_types \"$DB_SRC\" \"$table\")\n local nas_cols\n nas_cols=$(table_columns \"$NAS_DB\" \"$table\")\n\n local added=0\n local added_names=\"\"\n while IFS='|' read -r name type; do\n [ -z \"$name\" ] && continue\n # Use grep -F -x for fixed-string exact match (safe against regex chars).\n if ! echo \"$nas_cols\" | grep -Fxq \"$name\"; then\n # SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed\n # without a constant default. Default-NULL is exactly what we want for archive.\n sqlite3 \"$NAS_DB\" \"ALTER TABLE $table ADD COLUMN \\\"$name\\\" $type;\"\n added=$((added + 1))\n added_names=\"$added_names $name\"\n fi\n done <<< \"$src_cols\"\n\n if [ \"$added\" -gt 0 ]; then\n printf \"✓ added %d:%s\\n\" \"$added\" \"$added_names\"\n else\n printf \"✓ in sync\\n\"\n fi\n}\n\n# Echoes a comma-separated list of source columns for a table, double-quoted\n# so reserved words and hyphens are safe. Used for both INSERT and SELECT sides.\nbuild_col_list() {\n local table=\"$1\"\n table_columns \"$DB_SRC\" \"$table\" | awk 'NF' | sed 's/.*/\"&\"/' | paste -sd, -\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n if table_exists \"$NAS_DB\" \"frames\"; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\n else\n printf \" %-20s %s\\n\" \"Archive DB:\" \"exists, no frames table yet\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables (CREATE IF NOT EXISTS)\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n # ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────\n # Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,\n # and pre-existing tables get any missing columns added.\n step \"Reconciling NAS schema with source\"\n for tbl in \"${SYNC_TABLES[@]}\"; do\n ensure_columns \"$tbl\"\n done\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────\n # After ensure_columns, source ⊆ NAS for every synced table, so source's\n # column list is a safe subset to use on both sides of the INSERT.\n FRAMES_COLS=$(build_col_list frames)\n ELEMENTS_COLS=$(build_col_list elements)\n UI_EVENTS_COLS=$(build_col_list ui_events)\n OCR_TEXT_COLS=$(build_col_list ocr_text)\n VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)\n MEETINGS_COLS=$(build_col_list meetings)\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)\n SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)\n SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)\n SELECT $OCR_TEXT_COLS FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)\n SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)\n SELECT $ELEMENTS_COLS FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)\n SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # NOTE: the elements/ocr_text inserts use unqualified column names while\n # selecting from a JOIN. SQLite resolves them against the leftmost table\n # that has the column, which is what we want here (e.* / o.* implicitly),\n # because none of the column names collide with frames'.\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"","depth":28,"on_screen":true,"value":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,\n# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,\n# so positional mismatches can't occur.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# Tables that get schema drift handling. Order matters for FK-ish references\n# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).\nSYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n\n# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────\n# Echoes \"name|type\" lines for a table from a given DB.\ntable_columns_with_types() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2 \"|\" $3}'\n}\n\n# Echoes just column names, one per line.\ntable_columns() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2}'\n}\n\n# Returns true (0) if a table exists in the given DB.\ntable_exists() {\n local db=\"$1\" table=\"$2\"\n local count\n count=$(sqlite3 \"$db\" \"SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';\")\n [ \"$count\" -gt 0 ]\n}\n\n# Adds any columns present in source but missing in NAS for the given table.\n# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.\nensure_columns() {\n local table=\"$1\"\n local label=\"schema: $table\"\n printf \" %-36s \" \"$label\"\n\n if ! table_exists \"$DB_SRC\" \"$table\"; then\n printf \"✗ source missing — skipping\\n\"\n return 0\n fi\n\n if ! table_exists \"$NAS_DB\" \"$table\"; then\n printf \"✓ fresh (created above)\\n\"\n return 0\n fi\n\n local src_cols\n src_cols=$(table_columns_with_types \"$DB_SRC\" \"$table\")\n local nas_cols\n nas_cols=$(table_columns \"$NAS_DB\" \"$table\")\n\n local added=0\n local added_names=\"\"\n while IFS='|' read -r name type; do\n [ -z \"$name\" ] && continue\n # Use grep -F -x for fixed-string exact match (safe against regex chars).\n if ! echo \"$nas_cols\" | grep -Fxq \"$name\"; then\n # SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed\n # without a constant default. Default-NULL is exactly what we want for archive.\n sqlite3 \"$NAS_DB\" \"ALTER TABLE $table ADD COLUMN \\\"$name\\\" $type;\"\n added=$((added + 1))\n added_names=\"$added_names $name\"\n fi\n done <<< \"$src_cols\"\n\n if [ \"$added\" -gt 0 ]; then\n printf \"✓ added %d:%s\\n\" \"$added\" \"$added_names\"\n else\n printf \"✓ in sync\\n\"\n fi\n}\n\n# Echoes a comma-separated list of source columns for a table, double-quoted\n# so reserved words and hyphens are safe. Used for both INSERT and SELECT sides.\nbuild_col_list() {\n local table=\"$1\"\n table_columns \"$DB_SRC\" \"$table\" | awk 'NF' | sed 's/.*/\"&\"/' | paste -sd, -\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n if table_exists \"$NAS_DB\" \"frames\"; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\n else\n printf \" %-20s %s\\n\" \"Archive DB:\" \"exists, no frames table yet\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables (CREATE IF NOT EXISTS)\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n # ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────\n # Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,\n # and pre-existing tables get any missing columns added.\n step \"Reconciling NAS schema with source\"\n for tbl in \"${SYNC_TABLES[@]}\"; do\n ensure_columns \"$tbl\"\n done\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────\n # After ensure_columns, source ⊆ NAS for every synced table, so source's\n # column list is a safe subset to use on both sides of the INSERT.\n FRAMES_COLS=$(build_col_list frames)\n ELEMENTS_COLS=$(build_col_list elements)\n UI_EVENTS_COLS=$(build_col_list ui_events)\n OCR_TEXT_COLS=$(build_col_list ocr_text)\n VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)\n MEETINGS_COLS=$(build_col_list meetings)\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)\n SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)\n SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)\n SELECT $OCR_TEXT_COLS FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)\n SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)\n SELECT $ELEMENTS_COLS FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)\n SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # NOTE: the elements/ocr_text inserts use unqualified column names while\n # selecting from a JOIN. SQLite resolves them against the leftmost table\n # that has the column, which is what we want here (e.* / o.* implicitly),\n # because none of the column names collide with frames'.\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"","role_description":"editor","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"#!/bin/bash\n# screenpipe_sync.sh\n# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).\n# Also copies the day's video/frame data folder to the NAS.\n#\n# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,\n# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,\n# so positional mismatches can't occur.\n#\n# Usage:\n# ./screenpipe_sync.sh # syncs yesterday (default)\n# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date\n# ./screenpipe_sync.sh today # syncs today so far\n#\n# Cron example (runs at 3am daily):\n# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1\n\nset -euo pipefail\n\n# ─── CONFIG ───────────────────────────────────────────────────────────────────\nDB_SRC=\"${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}\"\nNAS_MOUNT=\"${NAS_MOUNT:-/Volumes/screenpipe}\"\nNAS_DB=\"$NAS_MOUNT/archive.db\"\nNAS_DATA=\"$NAS_MOUNT/data\"\nLOG_FILE=\"$HOME/.screenpipe/sync.log\"\n# Tables that get schema drift handling. Order matters for FK-ish references\n# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).\nSYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── HELPERS ──────────────────────────────────────────────────────────────────\nSCRIPT_START=$(date +%s)\n\nlog() {\n local msg=\"[$(date '+%Y-%m-%d %H:%M:%S')] $*\"\n echo \"$msg\" | tee -a \"$LOG_FILE\"\n}\n\nstep() {\n local now=$(date +%s)\n local elapsed=$(( now - SCRIPT_START ))\n local min=$(( elapsed / 60 ))\n local sec=$(( elapsed % 60 ))\n printf \"\\n[+%02dm%02ds] ▶ %s\\n\" \"$min\" \"$sec\" \"$*\" | tee -a \"$LOG_FILE\"\n}\n\nrun_sqlite_heredoc() {\n local label=\"$1\"\n local sql=\"$2\"\n local start=$(date +%s)\n\n printf \" %-36s \" \"$label\"\n\n sqlite3 \"$DB_SRC\" <<< \"$sql\" &\n local pid=$!\n local spin=('⠋' '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')\n local i=0\n while kill -0 \"$pid\" 2>/dev/null; do\n printf \"\\r %-36s %s \" \"$label\" \"${spin[$i]}\"\n i=$(( (i + 1) % 10 ))\n sleep 0.2\n done\n wait \"$pid\"\n local rc=$?\n if [ $rc -ne 0 ]; then\n printf \"\\r %-36s ✗ FAILED\\n\" \"$label\" | tee -a \"$LOG_FILE\"\n exit $rc\n fi\n\n local dur=$(( $(date +%s) - start ))\n printf \"\\r %-36s ✓ %dm%02ds\\n\" \"$label\" \"$(( dur / 60 ))\" \"$(( dur % 60 ))\" | tee -a \"$LOG_FILE\"\n}\n\ncheck() {\n local label=\"$1\" got=\"$2\" expected=\"$3\"\n if [ \"$got\" -eq \"$expected\" ]; then\n printf \" %-20s %s / %s ✓\\n\" \"$label:\" \"$got\" \"$expected\"\n else\n printf \" %-20s %s / %s ✗ MISMATCH\\n\" \"$label:\" \"$got\" \"$expected\"\n fi\n}\n\n# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────\n# Echoes \"name|type\" lines for a table from a given DB.\ntable_columns_with_types() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2 \"|\" $3}'\n}\n\n# Echoes just column names, one per line.\ntable_columns() {\n local db=\"$1\" table=\"$2\"\n sqlite3 \"$db\" \"PRAGMA table_info($table);\" | awk -F'|' '{print $2}'\n}\n\n# Returns true (0) if a table exists in the given DB.\ntable_exists() {\n local db=\"$1\" table=\"$2\"\n local count\n count=$(sqlite3 \"$db\" \"SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';\")\n [ \"$count\" -gt 0 ]\n}\n\n# Adds any columns present in source but missing in NAS for the given table.\n# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.\nensure_columns() {\n local table=\"$1\"\n local label=\"schema: $table\"\n printf \" %-36s \" \"$label\"\n\n if ! table_exists \"$DB_SRC\" \"$table\"; then\n printf \"✗ source missing — skipping\\n\"\n return 0\n fi\n\n if ! table_exists \"$NAS_DB\" \"$table\"; then\n printf \"✓ fresh (created above)\\n\"\n return 0\n fi\n\n local src_cols\n src_cols=$(table_columns_with_types \"$DB_SRC\" \"$table\")\n local nas_cols\n nas_cols=$(table_columns \"$NAS_DB\" \"$table\")\n\n local added=0\n local added_names=\"\"\n while IFS='|' read -r name type; do\n [ -z \"$name\" ] && continue\n # Use grep -F -x for fixed-string exact match (safe against regex chars).\n if ! echo \"$nas_cols\" | grep -Fxq \"$name\"; then\n # SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed\n # without a constant default. Default-NULL is exactly what we want for archive.\n sqlite3 \"$NAS_DB\" \"ALTER TABLE $table ADD COLUMN \\\"$name\\\" $type;\"\n added=$((added + 1))\n added_names=\"$added_names $name\"\n fi\n done <<< \"$src_cols\"\n\n if [ \"$added\" -gt 0 ]; then\n printf \"✓ added %d:%s\\n\" \"$added\" \"$added_names\"\n else\n printf \"✓ in sync\\n\"\n fi\n}\n\n# Echoes a comma-separated list of source columns for a table, double-quoted\n# so reserved words and hyphens are safe. Used for both INSERT and SELECT sides.\nbuild_col_list() {\n local table=\"$1\"\n table_columns \"$DB_SRC\" \"$table\" | awk 'NF' | sed 's/.*/\"&\"/' | paste -sd, -\n}\n# ──────────────────────────────────────────────────────────────────────────────\n\n# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────\nif [ \"${1:-}\" = \"today\" ]; then\n TARGET_DATE=$(date +%Y-%m-%d)\nelif [ -n \"${1:-}\" ]; then\n TARGET_DATE=\"$1\"\n if ! [[ \"$TARGET_DATE\" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then\n echo \"ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday.\"\n exit 1\n fi\nelse\n TARGET_DATE=$(date -v-1d +%Y-%m-%d)\nfi\n\nlog \"========================================\"\nlog \"Screenpipe sync starting for: $TARGET_DATE\"\nlog \"========================================\"\n\n# ─── PREFLIGHT ────────────────────────────────────────────────────────────────\nstep \"Preflight checks\"\n\nif [ ! -f \"$DB_SRC\" ]; then\n log \"ERROR: Source DB not found at $DB_SRC\"; exit 1\nfi\nprintf \" %-20s %s (%s)\\n\" \"Source DB:\" \"OK\" \"$(du -sh \"$DB_SRC\" | cut -f1)\"\n\nif [ ! -d \"$NAS_MOUNT\" ]; then\n log \"ERROR: NAS not mounted at $NAS_MOUNT\"; exit 1\nfi\nprintf \" %-20s %s\\n\" \"NAS mount:\" \"OK $NAS_MOUNT\"\n\n# Check if DB already synced for this date\nDB_ALREADY_SYNCED=false\nif [ -f \"$NAS_DB\" ]; then\n if table_exists \"$NAS_DB\" \"frames\"; then\n EXISTING=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\" 2>/dev/null || echo \"0\")\n if [ \"$EXISTING\" -gt \"0\" ]; then\n log \"Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n else\n printf \" %-20s %s (%s)\\n\" \"Archive DB:\" \"exists\" \"$(du -sh \"$NAS_DB\" | cut -f1)\"\n fi\n else\n printf \" %-20s %s\\n\" \"Archive DB:\" \"exists, no frames table yet\"\n fi\nelse\n printf \" %-20s %s\\n\" \"Archive DB:\" \"will be created\"\nfi\n\n# Source data dir for this date\nDATA_SRC=\"$HOME/.screenpipe/data/data/$TARGET_DATE\"\nif [ -d \"$DATA_SRC\" ]; then\n DATA_SIZE=$(du -sh \"$DATA_SRC\" | cut -f1)\n DATA_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n printf \" %-20s %s (%s files, %s)\\n\" \"Data dir:\" \"OK\" \"$DATA_FILES\" \"$DATA_SIZE\"\nelse\n printf \" %-20s %s\\n\" \"Data dir:\" \"not found — skipping file copy\"\nfi\n\n# ─── DB SYNC ──────────────────────────────────────────────────────────────────\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────\n step \"Counting source rows for $TARGET_DATE\"\n\n SRC_FRAMES=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_ELEMENTS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_UI=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n SRC_OCR=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n SRC_MEETINGS=$(sqlite3 \"$DB_SRC\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';\")\n\n printf \" %-20s %s\\n\" \"frames:\" \"$SRC_FRAMES\"\n printf \" %-20s %s\\n\" \"elements:\" \"$SRC_ELEMENTS\"\n printf \" %-20s %s\\n\" \"ui_events:\" \"$SRC_UI\"\n printf \" %-20s %s\\n\" \"ocr_text:\" \"$SRC_OCR\"\n printf \" %-20s %s\\n\" \"meetings:\" \"$SRC_MEETINGS\"\n\n if [ \"$SRC_FRAMES\" -eq \"0\" ]; then\n log \"No frames found for $TARGET_DATE — skipping DB sync\"\n DB_ALREADY_SYNCED=true\n fi\n\nfi\n\nif [ \"$DB_ALREADY_SYNCED\" = false ]; then\n\n # ─── INIT TABLES ──────────────────────────────────────────────────────────\n step \"Initialising tables (CREATE IF NOT EXISTS)\"\n\n run_sqlite_heredoc \"creating tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;\nCREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;\nDETACH nas;\n\"\n\n # ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────\n # Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,\n # and pre-existing tables get any missing columns added.\n step \"Reconciling NAS schema with source\"\n for tbl in \"${SYNC_TABLES[@]}\"; do\n ensure_columns \"$tbl\"\n done\n\n run_sqlite_heredoc \"creating indexes\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);\nCREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);\nCREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);\nCREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);\nCREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"creating FTS tables\" \"\nATTACH '$NAS_DB' AS nas;\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(\n text, role, frame_id UNINDEXED,\n content='elements', content_rowid='id', tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(\n full_text, app_name, window_name, browser_url, id UNINDEXED,\n tokenize='unicode61'\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(\n text_content,\n app_name,\n window_title,\n element_name,\n content='ui_events',\n content_rowid='id',\n tokenize='unicode61'\n);\nDETACH nas;\n\"\n\n # ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────\n # After ensure_columns, source ⊆ NAS for every synced table, so source's\n # column list is a safe subset to use on both sides of the INSERT.\n FRAMES_COLS=$(build_col_list frames)\n ELEMENTS_COLS=$(build_col_list elements)\n UI_EVENTS_COLS=$(build_col_list ui_events)\n OCR_TEXT_COLS=$(build_col_list ocr_text)\n VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)\n MEETINGS_COLS=$(build_col_list meetings)\n\n # ─── SYNC DATA ────────────────────────────────────────────────────────────\n step \"Syncing data for $TARGET_DATE\"\n\n run_sqlite_heredoc \"video_chunks\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)\n SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks\n WHERE id IN (\n SELECT DISTINCT video_chunk_id FROM main.frames\n WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL\n );\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames ($SRC_FRAMES rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)\n SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ocr_text ($SRC_OCR rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)\n SELECT $OCR_TEXT_COLS FROM main.ocr_text o\n JOIN main.frames f ON o.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events ($SRC_UI rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)\n SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"elements ($SRC_ELEMENTS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)\n SELECT $ELEMENTS_COLS FROM main.elements e\n JOIN main.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"meetings ($SRC_MEETINGS rows)\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)\n SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';\nDETACH nas;\n\"\n\n # NOTE: the elements/ocr_text inserts use unqualified column names while\n # selecting from a JOIN. SQLite resolves them against the leftmost table\n # that has the column, which is what we want here (e.* / o.* implicitly),\n # because none of the column names collide with frames'.\n\n # ─── FTS UPDATE ───────────────────────────────────────────────────────────\n step \"Updating FTS indexes\"\n\n run_sqlite_heredoc \"elements_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.elements_fts(rowid, text, role)\n SELECT e.id, e.text, e.role\n FROM nas.elements e\n JOIN nas.frames f ON e.frame_id = f.id\n WHERE date(f.timestamp) = '$TARGET_DATE'\n AND e.text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"frames_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)\n SELECT id, full_text, app_name, window_name, browser_url, id\n FROM nas.frames\n WHERE date(timestamp) = '$TARGET_DATE'\n AND full_text IS NOT NULL;\nDETACH nas;\n\"\n\n run_sqlite_heredoc \"ui_events_fts\" \"\nATTACH '$NAS_DB' AS nas;\nINSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)\n SELECT id, text_content, app_name, window_title, element_name\n FROM nas.ui_events\n WHERE date(timestamp) = '$TARGET_DATE'\n AND text_content IS NOT NULL;\nDETACH nas;\n\"\n\n # ─── VERIFY DB ────────────────────────────────────────────────────────────\n step \"Verifying DB\"\n\n V_FRAMES=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';\")\n V_ELEMENTS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_UI=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';\")\n V_OCR=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');\")\n V_MEETINGS=$(sqlite3 \"$NAS_DB\" \"SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';\")\n\n check \"frames\" \"$V_FRAMES\" \"$SRC_FRAMES\"\n check \"elements\" \"$V_ELEMENTS\" \"$SRC_ELEMENTS\"\n check \"ui_events\" \"$V_UI\" \"$SRC_UI\"\n check \"ocr_text\" \"$V_OCR\" \"$SRC_OCR\"\n check \"meetings\" \"$V_MEETINGS\" \"$SRC_MEETINGS\"\n\nfi\n\n# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────\n# Always runs regardless of DB sync status\nstep \"Copying data folder for $TARGET_DATE\"\n\nif [ -d \"$DATA_SRC\" ]; then\n mkdir -p \"$NAS_DATA/$TARGET_DATE\"\n RSYNC_START=$(date +%s)\n printf \" %-36s \" \"rsync $TARGET_DATE/ → NAS\"\n rsync -a --ignore-existing \\\n \"$DATA_SRC/\" \\\n \"$NAS_DATA/$TARGET_DATE/\" \\\n 2>>\"$LOG_FILE\"\n RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))\n COPIED_FILES=$(ls \"$NAS_DATA/$TARGET_DATE\" | wc -l | tr -d ' ')\n SRC_FILES=$(ls \"$DATA_SRC\" | wc -l | tr -d ' ')\n COPIED_SIZE=$(du -sh \"$NAS_DATA/$TARGET_DATE\" | cut -f1)\n if [ \"$COPIED_FILES\" -eq \"$SRC_FILES\" ]; then\n printf \"\\r %-36s ✓ %dm%02ds (%s files, %s)\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \\\n \"$(( RSYNC_DUR / 60 ))\" \"$(( RSYNC_DUR % 60 ))\" \\\n \"$COPIED_FILES\" \"$COPIED_SIZE\" | tee -a \"$LOG_FILE\"\n else\n printf \"\\r %-36s ✗ %s / %s files\\n\" \\\n \"rsync $TARGET_DATE/ → NAS\" \"$COPIED_FILES\" \"$SRC_FILES\" | tee -a \"$LOG_FILE\"\n fi\nelse\n printf \" %-36s %s\\n\" \"rsync $TARGET_DATE/ → NAS\" \"skipped (no source dir)\"\nfi\n\n# ─── SUMMARY ──────────────────────────────────────────────────────────────────\nTOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))\nDB_SIZE=$(du -sh \"$NAS_DB\" | cut -f1)\n\necho \"\"\nlog \"Archive DB size: $DB_SIZE\"\nlog \"Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s\"\nlog \"Sync complete for $TARGET_DATE\"\nlog \"========================================\"","depth":29,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Implement and run pipe l…, Editor Group 2","depth":28,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":false},{"role":"AXRadioButton","text":"Problems (⇧⌘M)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PROBLEMS","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Output (⇧⌘U)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUTPUT","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Debug Console (⇧⌘Y)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"DEBUG CONSOLE","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Terminal (⌃`)","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":true,"is_expanded":true},{"role":"AXStaticText","text":"TERMINAL","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXRadioButton","text":"Ports - 1 forwarded port","depth":22,"on_screen":true,"role_description":"tab","subrole":"AXTabButton","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"PORTS","depth":24,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":25,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"remote SSH: nas","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"SSH: nas","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - master*, Checkout Branch/Tag...","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"master*","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"screenpipe (Git) - Synchronize Changes","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"No Problems","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"0","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Forwarded Ports: 8766","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"1","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Notifications","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Sign In","depth":16,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Sign In","depth":17,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"No results found","depth":12,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Implement and run pipe logic","depth":19,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Session history","depth":19,"on_screen":true,"help_text":"Session history","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"New session","depth":19,"on_screen":true,"help_text":"New session","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Message actions","depth":24,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"main.py","depth":23,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"lets implement logic with pipes. how can I run it?","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Thinking","depth":23,"on_screen":false,"role_description":"disclosure triangle","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Thinking","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me look at the current project structure to understand what's already in place.","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"List project files","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"find /volume1/screenpipe -type f | head -50 && echo \"---\" && ls /volume1/screenpipe","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"OUT","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"/volume1/screenpipe/.DS_Store\n/volume1/screenpipe/screenpipe.db\n/volume1/screenpipe/screenpipe_sync.sh\n/volume1/screenpipe/app_settings.json\n/volume1/screenpipe/.gitignore\n/volume1/screenpipe/archive.db\n/volume1/screenpipe/db.sqlite\n/volume1/screenpipe/db.sqlite-wal\n/volume1/screenpipe/db.sqlite-shm\n/volume1/screenpipe/#recycle/desktop.ini\n/volume1/screenpipe/#recycle/db.sqlite\n/volume1/screenpipe/#recycle/Copy #1 of db.sqlite\n/volume1/screenpipe/#recycle/.DS_Store\n/volume1/screenpipe/#recycle/Copy #2 of db.sqlite\n/volume1/screenpipe/#recycle/archive.db\n/volume1/screenpipe/#recycle/Copy #1 of archive.db\n/volume1/screenpipe/#recycle/Copy #2 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of archive.db\n/volume1/screenpipe/#recycle/Copy #4 of archive.db\n/volume1/screenpipe/#recycle/Copy #5 of archive.db\n/volume1/screenpipe/#recycle/Copy #3 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #4 of db.sqlite\n/volume1/screenpipe/#recycle/Copy #6 of archive.db\n/volume1/screenpipe/#recycle/test.txt\n/volume1/screenpipe/#recycle/Copy #7 of archive.db\n/volume1/screenpipe/#recycle/Copy #8 of archive.db\n/volume1/screenpipe/#recycle/archive.db-journal\n/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal\n/volume1/screenpipe/#recycle/Copy #5 of db.sqlite\n/volume1/screenpipe/pipes/.DS_Store\n/volume1/screenpipe/app/.env\n/volume1/screenpipe/app/cli.py\n/volume1/screenpipe/app/.DS_Store\n/volume1/screenpipe/app/db.py\n/volume1/screenpipe/app/docker-compose.yml\n/volume1/screenpipe/app/main.py\n/volume1/screenpipe/app/requirements.txt\n/volume1/screenpipe/app/Dockerfile\n/volume1/screenpipe/data/.DS_Store\n/volume1/screenpipe/.git/description\n/volume1/screenpipe/.git/HEAD\n/volume1/screenpipe/.git/index\n/volume1/screenpipe/.git/COMMIT_EDITMSG\n/volume1/screenpipe/#recycle/data/.DS_Store\n---\napp\napp_settings.json\narchive.db\ndata\ndb.sqlite\ndb.sqlite-shm\ndb.sqlite-wal\npipes\n#recycle\nscreenpipe.db\nscreenpipe_sync.sh","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Read","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXLink","text":"main.py","depth":24,"on_screen":false,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"main.py","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Bash","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Check pipes directory and docker-compose","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"IN","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy code to clipboard","depth":24,"on_screen":false,"help_text":"Copy code","role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false}]...
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Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Explorer (⇧⌘E) - 1 unsaved file
1
Search (⇧⌘F)
Source Control (⌃⇧G) - 10 pending changes
10
Run and Debug (⇧⌘D)
Remote Explorer
Extensions (⇧⌘X) - 2 require update
2
Claude Code
Containers
EXPLORER
EXPLORER
Explorer Section: screenpipe [SSH: nas]
Explorer Section: screenpipe [SSH: nas]
SCREENPIPE [SSH: NAS]
#recycle
app
__pycache__
consumers
static
.env
cli.py
M
db.py
docker-compose.yml
Dockerfile
M
main.py
M
requirements.txt
M
data
logs
pipes
.gitignore
app_settings.json
archive.db
archive.db-bak
U
db.sqlite
db.sqlite-shm
db.sqlite-wal
screenpipe_sync_updated.sh
U
screenpipe_sync.sh
screenpipe.db
Outline Section
OUTLINE
OUTLINE
Timeline Section
TIMELINE
TIMELINE
app_settings.json, Editor Group 1
screenpipe_sync.sh, Editor Group 1
screenpipe_sync_updated.sh, preview, Editor Group 1
pipe.md, Editor Group 1
.env, Editor Group 1
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,
# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,
# so positional mismatches can't occur.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# Tables that get schema drift handling. Order matters for FK-ish references
# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).
SYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────
# Echoes "name|type" lines for a table from a given DB.
table_columns_with_types() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2 "|" $3}'
}
# Echoes just column names, one per line.
table_columns() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2}'
}
# Returns true (0) if a table exists in the given DB.
table_exists() {
local db="$1" table="$2"
local count
count=$(sqlite3 "$db" "SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';")
[ "$count" -gt 0 ]
}
# Adds any columns present in source but missing in NAS for the given table.
# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.
ensure_columns() {
local table="$1"
local label="schema: $table"
printf " %-36s " "$label"
if ! table_exists "$DB_SRC" "$table"; then
printf "✗ source missing — skipping\n"
return 0
fi
if ! table_exists "$NAS_DB" "$table"; then
printf "✓ fresh (created above)\n"
return 0
fi
local src_cols
src_cols=$(table_columns_with_types "$DB_SRC" "$table")
local nas_cols
nas_cols=$(table_columns "$NAS_DB" "$table")
local added=0
local added_names=""
while IFS='|' read -r name type; do
[ -z "$name" ] && continue
# Use grep -F -x for fixed-string exact match (safe against regex chars).
if ! echo "$nas_cols" | grep -Fxq "$name"; then
# SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed
# without a constant default. Default-NULL is exactly what we want for archive.
sqlite3 "$NAS_DB" "ALTER TABLE $table ADD COLUMN \"$name\" $type;"
added=$((added + 1))
added_names="$added_names $name"
fi
done <<< "$src_cols"
if [ "$added" -gt 0 ]; then
printf "✓ added %d:%s\n" "$added" "$added_names"
else
printf "✓ in sync\n"
fi
}
# Echoes a comma-separated list of source columns for a table, double-quoted
# so reserved words and hyphens are safe. Used for both INSERT and SELECT sides.
build_col_list() {
local table="$1"
table_columns "$DB_SRC" "$table" | awk 'NF' | sed 's/.*/"&"/' | paste -sd, -
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
if table_exists "$NAS_DB" "frames"; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "exists, no frames table yet"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables (CREATE IF NOT EXISTS)"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
# ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────
# Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,
# and pre-existing tables get any missing columns added.
step "Reconciling NAS schema with source"
for tbl in "${SYNC_TABLES[@]}"; do
ensure_columns "$tbl"
done
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────
# After ensure_columns, source ⊆ NAS for every synced table, so source's
# column list is a safe subset to use on both sides of the INSERT.
FRAMES_COLS=$(build_col_list frames)
ELEMENTS_COLS=$(build_col_list elements)
UI_EVENTS_COLS=$(build_col_list ui_events)
OCR_TEXT_COLS=$(build_col_list ocr_text)
VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)
MEETINGS_COLS=$(build_col_list meetings)
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)
SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)
SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)
SELECT $OCR_TEXT_COLS FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)
SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)
SELECT $ELEMENTS_COLS FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)
SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# NOTE: the elements/ocr_text inserts use unqualified column names while
# selecting from a JOIN. SQLite resolves them against the leftmost table
# that has the column, which is what we want here (e.* / o.* implicitly),
# because none of the column names collide with frames'.
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
#!/bin/bash
# screenpipe_sync.sh
# Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions).
# Also copies the day's video/frame data folder to the NAS.
#
# Schema-drift tolerant: if Screenpipe migrations add new columns to the source DB,
# the NAS archive gets ALTER TABLE'd to match. Inserts use explicit column lists,
# so positional mismatches can't occur.
#
# Usage:
# ./screenpipe_sync.sh # syncs yesterday (default)
# ./screenpipe_sync.sh 2026-04-15 # syncs a specific date
# ./screenpipe_sync.sh today # syncs today so far
#
# Cron example (runs at 3am daily):
# 0 3 * * * /Users/lukas/.screenpipe/screenpipe_sync.sh >> /Users/lukas/.screenpipe/sync.log 2>&1
set -euo pipefail
# ─── CONFIG ───────────────────────────────────────────────────────────────────
DB_SRC="${SCREENPIPE_DB:-$HOME/.screenpipe/db.sqlite}"
NAS_MOUNT="${NAS_MOUNT:-/Volumes/screenpipe}"
NAS_DB="$NAS_MOUNT/archive.db"
NAS_DATA="$NAS_MOUNT/data"
LOG_FILE="$HOME/.screenpipe/sync.log"
# Tables that get schema drift handling. Order matters for FK-ish references
# (parents before children: video_chunks → frames → elements/ocr_text/ui_events).
SYNC_TABLES=(video_chunks frames elements ocr_text ui_events meetings)
# ──────────────────────────────────────────────────────────────────────────────
# ─── HELPERS ──────────────────────────────────────────────────────────────────
SCRIPT_START=$(date +%s)
log() {
local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*"
echo "$msg" | tee -a "$LOG_FILE"
}
step() {
local now=$(date +%s)
local elapsed=$(( now - SCRIPT_START ))
local min=$(( elapsed / 60 ))
local sec=$(( elapsed % 60 ))
printf "\n[+%02dm%02ds] ▶ %s\n" "$min" "$sec" "$*" | tee -a "$LOG_FILE"
}
run_sqlite_heredoc() {
local label="$1"
local sql="$2"
local start=$(date +%s)
printf " %-36s " "$label"
sqlite3 "$DB_SRC" <<< "$sql" &
local pid=$!
local spin=[PASSWORD] '⠙' '⠹' '⠸' '⠼' '⠴' '⠦' '⠧' '⠇' '⠏')
local i=0
while kill -0 "$pid" 2>/dev/null; do
printf "\r %-36s %s " "$label" "${spin[$i]}"
i=$(( (i + 1) % 10 ))
sleep 0.2
done
wait "$pid"
local rc=$?
if [ $rc -ne 0 ]; then
printf "\r %-36s ✗ FAILED\n" "$label" | tee -a "$LOG_FILE"
exit $rc
fi
local dur=$(( $(date +%s) - start ))
printf "\r %-36s ✓ %dm%02ds\n" "$label" "$(( dur / 60 ))" "$(( dur % 60 ))" | tee -a "$LOG_FILE"
}
check() {
local label="$1" got="$2" expected="$3"
if [ "$got" -eq "$expected" ]; then
printf " %-20s %s / %s ✓\n" "$label:" "$got" "$expected"
else
printf " %-20s %s / %s ✗ MISMATCH\n" "$label:" "$got" "$expected"
fi
}
# ─── SCHEMA HELPERS ───────────────────────────────────────────────────────────
# Echoes "name|type" lines for a table from a given DB.
table_columns_with_types() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2 "|" $3}'
}
# Echoes just column names, one per line.
table_columns() {
local db="$1" table="$2"
sqlite3 "$db" "PRAGMA table_info($table);" | awk -F'|' '{print $2}'
}
# Returns true (0) if a table exists in the given DB.
table_exists() {
local db="$1" table="$2"
local count
count=$(sqlite3 "$db" "SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='$table';")
[ "$count" -gt 0 ]
}
# Adds any columns present in source but missing in NAS for the given table.
# Uses ALTER TABLE ADD COLUMN, which is a fast metadata-only operation in SQLite.
ensure_columns() {
local table="$1"
local label="schema: $table"
printf " %-36s " "$label"
if ! table_exists "$DB_SRC" "$table"; then
printf "✗ source missing — skipping\n"
return 0
fi
if ! table_exists "$NAS_DB" "$table"; then
printf "✓ fresh (created above)\n"
return 0
fi
local src_cols
src_cols=$(table_columns_with_types "$DB_SRC" "$table")
local nas_cols
nas_cols=$(table_columns "$NAS_DB" "$table")
local added=0
local added_names=""
while IFS='|' read -r name type; do
[ -z "$name" ] && continue
# Use grep -F -x for fixed-string exact match (safe against regex chars).
if ! echo "$nas_cols" | grep -Fxq "$name"; then
# SQLite ALTER TABLE ADD COLUMN: type is optional, no NOT NULL allowed
# without a constant default. Default-NULL is exactly what we want for archive.
sqlite3 "$NAS_DB" "ALTER TABLE $table ADD COLUMN \"$name\" $type;"
added=$((added + 1))
added_names="$added_names $name"
fi
done <<< "$src_cols"
if [ "$added" -gt 0 ]; then
printf "✓ added %d:%s\n" "$added" "$added_names"
else
printf "✓ in sync\n"
fi
}
# Echoes a comma-separated list of source columns for a table, double-quoted
# so reserved words and hyphens are safe. Used for both INSERT and SELECT sides.
build_col_list() {
local table="$1"
table_columns "$DB_SRC" "$table" | awk 'NF' | sed 's/.*/"&"/' | paste -sd, -
}
# ──────────────────────────────────────────────────────────────────────────────
# ─── DATE ARGUMENT ────────────────────────────────────────────────────────────
if [ "${1:-}" = "today" ]; then
TARGET_DATE=$(date +%Y-%m-%d)
elif [ -n "${1:-}" ]; then
TARGET_DATE="$1"
if ! [[ "$TARGET_DATE" =~ ^[0-9]{4}-[0-9]{2}-[0-9]{2}$ ]]; then
echo "ERROR: Invalid date format. Use YYYY-MM-DD, 'today', or no argument for yesterday."
exit 1
fi
else
TARGET_DATE=$(date -v-1d +%Y-%m-%d)
fi
log "========================================"
log "Screenpipe sync starting for: $TARGET_DATE"
log "========================================"
# ─── PREFLIGHT ────────────────────────────────────────────────────────────────
step "Preflight checks"
if [ ! -f "$DB_SRC" ]; then
log "ERROR: Source DB not found at $DB_SRC"; exit 1
fi
printf " %-20s %s (%s)\n" "Source DB:" "OK" "$(du -sh "$DB_SRC" | cut -f1)"
if [ ! -d "$NAS_MOUNT" ]; then
log "ERROR: NAS not mounted at $NAS_MOUNT"; exit 1
fi
printf " %-20s %s\n" "NAS mount:" "OK $NAS_MOUNT"
# Check if DB already synced for this date
DB_ALREADY_SYNCED=false
if [ -f "$NAS_DB" ]; then
if table_exists "$NAS_DB" "frames"; then
EXISTING=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';" 2>/dev/null || echo "0")
if [ "$EXISTING" -gt "0" ]; then
log "Date $TARGET_DATE already has $EXISTING frames in archive — skipping DB sync"
DB_ALREADY_SYNCED=true
else
printf " %-20s %s (%s)\n" "Archive DB:" "exists" "$(du -sh "$NAS_DB" | cut -f1)"
fi
else
printf " %-20s %s\n" "Archive DB:" "exists, no frames table yet"
fi
else
printf " %-20s %s\n" "Archive DB:" "will be created"
fi
# Source data dir for this date
DATA_SRC="$HOME/.screenpipe/data/data/$TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
DATA_SIZE=$(du -sh "$DATA_SRC" | cut -f1)
DATA_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
printf " %-20s %s (%s files, %s)\n" "Data dir:" "OK" "$DATA_FILES" "$DATA_SIZE"
else
printf " %-20s %s\n" "Data dir:" "not found — skipping file copy"
fi
# ─── DB SYNC ──────────────────────────────────────────────────────────────────
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── COUNT SOURCE ROWS ────────────────────────────────────────────────────
step "Counting source rows for $TARGET_DATE"
SRC_FRAMES=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
SRC_ELEMENTS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_UI=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
SRC_OCR=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
SRC_MEETINGS=$(sqlite3 "$DB_SRC" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start) = '$TARGET_DATE';")
printf " %-20s %s\n" "frames:" "$SRC_FRAMES"
printf " %-20s %s\n" "elements:" "$SRC_ELEMENTS"
printf " %-20s %s\n" "ui_events:" "$SRC_UI"
printf " %-20s %s\n" "ocr_text:" "$SRC_OCR"
printf " %-20s %s\n" "meetings:" "$SRC_MEETINGS"
if [ "$SRC_FRAMES" -eq "0" ]; then
log "No frames found for $TARGET_DATE — skipping DB sync"
DB_ALREADY_SYNCED=true
fi
fi
if [ "$DB_ALREADY_SYNCED" = false ]; then
# ─── INIT TABLES ──────────────────────────────────────────────────────────
step "Initialising tables (CREATE IF NOT EXISTS)"
run_sqlite_heredoc "creating tables" "
ATTACH '$NAS_DB' AS nas;
CREATE TABLE IF NOT EXISTS nas.frames AS SELECT * FROM main.frames WHERE 0;
CREATE TABLE IF NOT EXISTS nas.elements AS SELECT * FROM main.elements WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ui_events AS SELECT * FROM main.ui_events WHERE 0;
CREATE TABLE IF NOT EXISTS nas.ocr_text AS SELECT * FROM main.ocr_text WHERE 0;
CREATE TABLE IF NOT EXISTS nas.video_chunks AS SELECT * FROM main.video_chunks WHERE 0;
CREATE TABLE IF NOT EXISTS nas.meetings AS SELECT * FROM main.meetings WHERE 0;
DETACH nas;
"
# ─── SCHEMA DRIFT FIX ─────────────────────────────────────────────────────
# Runs AFTER CREATE IF NOT EXISTS so newly-created tables are no-ops here,
# and pre-existing tables get any missing columns added.
step "Reconciling NAS schema with source"
for tbl in "${SYNC_TABLES[@]}"; do
ensure_columns "$tbl"
done
run_sqlite_heredoc "creating indexes" "
ATTACH '$NAS_DB' AS nas;
CREATE INDEX IF NOT EXISTS nas.idx_frames_timestamp ON frames(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_frames_app_name ON frames(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_window_name ON frames(window_name);
CREATE INDEX IF NOT EXISTS nas.idx_frames_video_chunk_id ON frames(video_chunk_id);
CREATE INDEX IF NOT EXISTS nas.idx_frames_document_path ON frames(document_path) WHERE document_path IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_id ON elements(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_elements_frame_src_role ON elements(frame_id, source, role) WHERE text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_elements_onscreen_frame ON elements(frame_id) WHERE on_screen = 1 AND text IS NOT NULL;
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_timestamp ON ui_events(timestamp);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_app_name ON ui_events(app_name);
CREATE INDEX IF NOT EXISTS nas.idx_ui_events_frame_id ON ui_events(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_ocr_text_frame_id ON ocr_text(frame_id);
CREATE INDEX IF NOT EXISTS nas.idx_meetings_start ON meetings(meeting_start);
CREATE INDEX IF NOT EXISTS nas.idx_video_chunks_device ON video_chunks(device_name);
DETACH nas;
"
run_sqlite_heredoc "creating FTS tables" "
ATTACH '$NAS_DB' AS nas;
CREATE VIRTUAL TABLE IF NOT EXISTS nas.elements_fts USING fts5(
text, role, frame_id UNINDEXED,
content='elements', content_rowid='id', tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.frames_fts USING fts5(
full_text, app_name, window_name, browser_url, id UNINDEXED,
tokenize='unicode61'
);
CREATE VIRTUAL TABLE IF NOT EXISTS nas.ui_events_fts USING fts5(
text_content,
app_name,
window_title,
element_name,
content='ui_events',
content_rowid='id',
tokenize='unicode61'
);
DETACH nas;
"
# ─── BUILD EXPLICIT COLUMN LISTS ──────────────────────────────────────────
# After ensure_columns, source ⊆ NAS for every synced table, so source's
# column list is a safe subset to use on both sides of the INSERT.
FRAMES_COLS=$(build_col_list frames)
ELEMENTS_COLS=$(build_col_list elements)
UI_EVENTS_COLS=$(build_col_list ui_events)
OCR_TEXT_COLS=$(build_col_list ocr_text)
VIDEO_CHUNKS_COLS=$(build_col_list video_chunks)
MEETINGS_COLS=$(build_col_list meetings)
# ─── SYNC DATA ────────────────────────────────────────────────────────────
step "Syncing data for $TARGET_DATE"
run_sqlite_heredoc "video_chunks" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.video_chunks ($VIDEO_CHUNKS_COLS)
SELECT $VIDEO_CHUNKS_COLS FROM main.video_chunks
WHERE id IN (
SELECT DISTINCT video_chunk_id FROM main.frames
WHERE date(timestamp) = '$TARGET_DATE' AND video_chunk_id IS NOT NULL
);
DETACH nas;
"
run_sqlite_heredoc "frames ($SRC_FRAMES rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.frames ($FRAMES_COLS)
SELECT $FRAMES_COLS FROM main.frames WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ocr_text ($SRC_OCR rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ocr_text ($OCR_TEXT_COLS)
SELECT $OCR_TEXT_COLS FROM main.ocr_text o
JOIN main.frames f ON o.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "ui_events ($SRC_UI rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.ui_events ($UI_EVENTS_COLS)
SELECT $UI_EVENTS_COLS FROM main.ui_events WHERE date(timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "elements ($SRC_ELEMENTS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.elements ($ELEMENTS_COLS)
SELECT $ELEMENTS_COLS FROM main.elements e
JOIN main.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE';
DETACH nas;
"
run_sqlite_heredoc "meetings ($SRC_MEETINGS rows)" "
ATTACH '$NAS_DB' AS nas;
INSERT OR IGNORE INTO nas.meetings ($MEETINGS_COLS)
SELECT $MEETINGS_COLS FROM main.meetings WHERE date(meeting_start) = '$TARGET_DATE';
DETACH nas;
"
# NOTE: the elements/ocr_text inserts use unqualified column names while
# selecting from a JOIN. SQLite resolves them against the leftmost table
# that has the column, which is what we want here (e.* / o.* implicitly),
# because none of the column names collide with frames'.
# ─── FTS UPDATE ───────────────────────────────────────────────────────────
step "Updating FTS indexes"
run_sqlite_heredoc "elements_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.elements_fts(rowid, text, role)
SELECT e.id, e.text, e.role
FROM nas.elements e
JOIN nas.frames f ON e.frame_id = f.id
WHERE date(f.timestamp) = '$TARGET_DATE'
AND e.text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "frames_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.frames_fts(rowid, full_text, app_name, window_name, browser_url, id)
SELECT id, full_text, app_name, window_name, browser_url, id
FROM nas.frames
WHERE date(timestamp) = '$TARGET_DATE'
AND full_text IS NOT NULL;
DETACH nas;
"
run_sqlite_heredoc "ui_events_fts" "
ATTACH '$NAS_DB' AS nas;
INSERT INTO nas.ui_events_fts(rowid, text_content, app_name, window_title, element_name)
SELECT id, text_content, app_name, window_title, element_name
FROM nas.ui_events
WHERE date(timestamp) = '$TARGET_DATE'
AND text_content IS NOT NULL;
DETACH nas;
"
# ─── VERIFY DB ────────────────────────────────────────────────────────────
step "Verifying DB"
V_FRAMES=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM frames WHERE date(timestamp) = '$TARGET_DATE';")
V_ELEMENTS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM elements WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_UI=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ui_events WHERE date(timestamp) = '$TARGET_DATE';")
V_OCR=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM ocr_text WHERE frame_id IN (SELECT id FROM frames WHERE date(timestamp) = '$TARGET_DATE');")
V_MEETINGS=$(sqlite3 "$NAS_DB" "SELECT COUNT(*) FROM meetings WHERE date(meeting_start)= '$TARGET_DATE';")
check "frames" "$V_FRAMES" "$SRC_FRAMES"
check "elements" "$V_ELEMENTS" "$SRC_ELEMENTS"
check "ui_events" "$V_UI" "$SRC_UI"
check "ocr_text" "$V_OCR" "$SRC_OCR"
check "meetings" "$V_MEETINGS" "$SRC_MEETINGS"
fi
# ─── COPY DATA FOLDER ─────────────────────────────────────────────────────────
# Always runs regardless of DB sync status
step "Copying data folder for $TARGET_DATE"
if [ -d "$DATA_SRC" ]; then
mkdir -p "$NAS_DATA/$TARGET_DATE"
RSYNC_START=$(date +%s)
printf " %-36s " "rsync $TARGET_DATE/ → NAS"
rsync -a --ignore-existing \
"$DATA_SRC/" \
"$NAS_DATA/$TARGET_DATE/" \
2>>"$LOG_FILE"
RSYNC_DUR=$(( $(date +%s) - RSYNC_START ))
COPIED_FILES=$(ls "$NAS_DATA/$TARGET_DATE" | wc -l | tr -d ' ')
SRC_FILES=$(ls "$DATA_SRC" | wc -l | tr -d ' ')
COPIED_SIZE=$(du -sh "$NAS_DATA/$TARGET_DATE" | cut -f1)
if [ "$COPIED_FILES" -eq "$SRC_FILES" ]; then
printf "\r %-36s ✓ %dm%02ds (%s files, %s)\n" \
"rsync $TARGET_DATE/ → NAS" \
"$(( RSYNC_DUR / 60 ))" "$(( RSYNC_DUR % 60 ))" \
"$COPIED_FILES" "$COPIED_SIZE" | tee -a "$LOG_FILE"
else
printf "\r %-36s ✗ %s / %s files\n" \
"rsync $TARGET_DATE/ → NAS" "$COPIED_FILES" "$SRC_FILES" | tee -a "$LOG_FILE"
fi
else
printf " %-36s %s\n" "rsync $TARGET_DATE/ → NAS" "skipped (no source dir)"
fi
# ─── SUMMARY ──────────────────────────────────────────────────────────────────
TOTAL_ELAPSED=$(( $(date +%s) - SCRIPT_START ))
DB_SIZE=$(du -sh "$NAS_DB" | cut -f1)
echo ""
log "Archive DB size: $DB_SIZE"
log "Total time: $(( TOTAL_ELAPSED / 60 ))m$(( TOTAL_ELAPSED % 60 ))s"
log "Sync complete for $TARGET_DATE"
log "========================================"
Implement and run pipe l…, Editor Group 2
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PROBLEMS
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OUTPUT
Debug Console (⇧⌘Y)
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TERMINAL
Ports - 1 forwarded port
PORTS
1
remote SSH: nas
SSH: nas
screenpipe (Git) - master*, Checkout Branch/Tag...
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Implement and run pipe logic
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main.py
main.py
lets implement logic with pipes. how can I run it?
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Let me look at the current project structure to understand what's already in place.
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List project files
IN
find /volume1/screenpipe -type f | head -50 && echo "---" && ls /volume1/screenpipe
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OUT
/volume1/screenpipe/.DS_Store
/volume1/screenpipe/screenpipe.db
/volume1/screenpipe/screenpipe_sync.sh
/volume1/screenpipe/app_settings.json
/volume1/screenpipe/.gitignore
/volume1/screenpipe/archive.db
/volume1/screenpipe/db.sqlite
/volume1/screenpipe/db.sqlite-wal
/volume1/screenpipe/db.sqlite-shm
/volume1/screenpipe/#recycle/desktop.ini
/volume1/screenpipe/#recycle/db.sqlite
/volume1/screenpipe/#recycle/Copy #1 of db.sqlite
/volume1/screenpipe/#recycle/.DS_Store
/volume1/screenpipe/#recycle/Copy #2 of db.sqlite
/volume1/screenpipe/#recycle/archive.db
/volume1/screenpipe/#recycle/Copy #1 of archive.db
/volume1/screenpipe/#recycle/Copy #2 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of archive.db
/volume1/screenpipe/#recycle/Copy #4 of archive.db
/volume1/screenpipe/#recycle/Copy #5 of archive.db
/volume1/screenpipe/#recycle/Copy #3 of db.sqlite
/volume1/screenpipe/#recycle/Copy #4 of db.sqlite
/volume1/screenpipe/#recycle/Copy #6 of archive.db
/volume1/screenpipe/#recycle/test.txt
/volume1/screenpipe/#recycle/Copy #7 of archive.db
/volume1/screenpipe/#recycle/Copy #8 of archive.db
/volume1/screenpipe/#recycle/archive.db-journal
/volume1/screenpipe/#recycle/Copy #1 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #2 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #3 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #4 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #6 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #7 of archive.db-journal
/volume1/screenpipe/#recycle/Copy #5 of db.sqlite
/volume1/screenpipe/pipes/.DS_Store
/volume1/screenpipe/app/.env
/volume1/screenpipe/app/cli.py
/volume1/screenpipe/app/.DS_Store
/volume1/screenpipe/app/db.py
/volume1/screenpipe/app/docker-compose.yml
/volume1/screenpipe/app/main.py
/volume1/screenpipe/app/requirements.txt
/volume1/screenpipe/app/Dockerfile
/volume1/screenpipe/data/.DS_Store
/volume1/screenpipe/.git/description
/volume1/screenpipe/.git/HEAD
/volume1/screenpipe/.git/index
/volume1/screenpipe/.git/COMMIT_EDITMSG
/volume1/screenpipe/#recycle/data/.DS_Store
---
app
app_settings.json
archive.db
data
db.sqlite
db.sqlite-shm
db.sqlite-wal
pipes
#recycle
screenpipe.db
screenpipe_sync.sh
Read
main.py
main.py
Bash
Check pipes directory and docker-compose
IN
ls /volume1/screenpipe/pipes/ && ls /volume1/screenpipe/app/ && cat /volume1/screenpipe/app/docker-compose.yml
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[{"role":"AXLink","text":& [{"role":"AXLink","text":"Skip to content","depth":14,"on_screen":true,"role_description":"link","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Skip to content","depth":15,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Click to collapse","depth":16,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"⌘B","depth":16,"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Drag to resize","depth":16,"on_screen":true,"role_description":"text"}]...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHelp$0 lbl 0A100% C8• Mon 11 May 20:13:11-zsh181DOCKER- ₴81DEV (docker)Lastlogin: Sun May 10 21:10:26 on ttys013₴2APP (-zsh)883-zshPoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ cat ~/.screenpipe/screenpipe_sync.sh | pbcopylukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $||*4-zsh*5screenpipe"O ₴6-zsh$IPSClaude...
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
Show more
10 May
Retry
Edit
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at...
|
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screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PASTED","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) \"lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[+00m00s] ▶ Preflight checks\n Source DB: OK (2.2G)\n NAS mount: OK /Volumes/screenpipe\n Archive DB: exists ( 10G)\n Data dir: OK (266 files, 292M)\n[+00m05s] ▶ Counting source rows for 2026-05-07\n frames: 6262\n elements: 623002\n ui_events: 7412\n ocr_text: 1670\n meetings: 2\n[+00m05s] ▶ Initialising tables, indexes, FTS\n creating tables ✓ 0m00s\n creating indexes ✓ 0m01s\n creating FTS tables ✓ 0m00s\n[+00m06s] ▶ Syncing data for 2026-05-07\n video_chunks ✓ 0m01s\n frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied\" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167\n20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875\n20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375\n20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792\n20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542\n20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416\n20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625\n20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250\n20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250\n20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167\n20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250\n20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834\n20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750\n20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250\n20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083\n20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625\n20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209\n20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583\n20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083\n20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250\n20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709\n20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833\n20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500\n20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042\n20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417\n20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667\n20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"10 May","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Looking at this carefully, the error tells the whole story:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"table nas.frames has 24 columns but 30 values were supplied","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT ... SELECT *","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"does positional mapping, which blows up the moment column counts diverge.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me verify the recent screenpipe changes and then fix this properly.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Diagnosed schema drift, architected resilient migration strategy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Diagnosed schema drift, architected resilient migration strategy","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What's happening","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What's happening","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260429000000 add evicted at to chunks","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks.evicted_at","depth":27,"on_screen":false,"role_description":"text"}]...
|
-4101000577135251766
|
5048482103229465618
|
visual_change
|
accessibility
|
NULL
|
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
Show more
10 May
Retry
Edit
Copy
Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at...
|
21117
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NULL
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NULL
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NULL
|
|
21121
|
922
|
20
|
2026-05-11T17:13:14.713052+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519594713_m1.jpg...
|
Claude
|
Claude
|
True
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
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Screenpipe sync script failing after recent migrations, rename chat
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
Show more
10 May
Retry
Edit
Copy
Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then...
|
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screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PASTED","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) \"lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[+00m00s] ▶ Preflight checks\n Source DB: OK (2.2G)\n NAS mount: OK /Volumes/screenpipe\n Archive DB: exists ( 10G)\n Data dir: OK (266 files, 292M)\n[+00m05s] ▶ Counting source rows for 2026-05-07\n frames: 6262\n elements: 623002\n ui_events: 7412\n ocr_text: 1670\n meetings: 2\n[+00m05s] ▶ Initialising tables, indexes, FTS\n creating tables ✓ 0m00s\n creating indexes ✓ 0m01s\n creating FTS tables ✓ 0m00s\n[+00m06s] ▶ Syncing data for 2026-05-07\n video_chunks ✓ 0m01s\n frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied\" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167\n20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875\n20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375\n20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792\n20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542\n20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416\n20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625\n20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250\n20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250\n20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167\n20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250\n20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834\n20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750\n20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250\n20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083\n20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625\n20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209\n20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583\n20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083\n20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250\n20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709\n20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833\n20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500\n20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042\n20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417\n20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667\n20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"10 May","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Looking at this carefully, the error tells the whole story:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"table nas.frames has 24 columns but 30 values were supplied","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT ... SELECT *","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"does positional mapping, which blows up the moment column counts diverge.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me verify the recent screenpipe changes and then fix this properly.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Diagnosed schema drift, architected resilient migration strategy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Diagnosed schema drift, architected resilient migration strategy","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What's happening","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What's happening","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260429000000 add evicted at to chunks","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks.evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260502000000 add elements on screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements.on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260504120000 add document path column","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260501000000 add redacted columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe/pii-redactor","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"model)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260503000000 add frames image redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.image_redacted_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260506120000 add memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ memories table","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your NAS","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"archive.db","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"was created before these landed.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op on existing tables, so the NAS schema froze. Then","depth":25,"on_screen":false,"role_description":"text"}]...
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then...
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2026-05-11T17:13:18.919591+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519598919_m1.jpg...
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Claude
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Claude
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED...
|
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screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PASTED","depth":24,"on_screen":false,"role_description":"text"}]...
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
iTerm2ShellEditViewSessionScriptsProfilesWindowHelp-zshDOCKER₴81DEV (docker)Last login: Sun May 10 21:10:26 on ttys013₴2APP (-zsh)883-zshPoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ cat ~/.screenpipe/screenpipe_sync.sh | pbcopylukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $||84-zsh*5screenpipe*100% <78• Mon 11 May 20:13:18181O ₴6-zshX7...
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519601866_m1.jpg...
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:...
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Is there ability…","depth":18,"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXPopUpButton","text":"More options for 💬 Screen pipe. 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screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"PASTED","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) \"lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07\n[2026-05-10 11:50:45] ========================================\n[+00m00s] ▶ Preflight checks\n Source DB: OK (2.2G)\n NAS mount: OK /Volumes/screenpipe\n Archive DB: exists ( 10G)\n Data dir: OK (266 files, 292M)\n[+00m05s] ▶ Counting source rows for 2026-05-07\n frames: 6262\n elements: 623002\n ui_events: 7412\n ocr_text: 1670\n meetings: 2\n[+00m05s] ▶ Initialising tables, indexes, FTS\n creating tables ✓ 0m00s\n creating indexes ✓ 0m01s\n creating FTS tables ✓ 0m00s\n[+00m06s] ▶ Syncing data for 2026-05-07\n video_chunks ✓ 0m01s\n frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied\" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167\n20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875\n20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375\n20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792\n20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542\n20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416\n20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625\n20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250\n20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250\n20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167\n20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250\n20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834\n20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750\n20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250\n20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083\n20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625\n20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209\n20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583\n20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083\n20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250\n20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709\n20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833\n20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500\n20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042\n20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417\n20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667\n20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.","depth":24,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Show more","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"10 May","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Retry","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Edit","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Copy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXHeading","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":21,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"Claude responded: Looking at this carefully, the error tells the whole story:","depth":22,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Pinpointing schema mismatches from recent PII redaction migrations","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Looking at this carefully, the error tells the whole story:","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Copy to clipboard","depth":27,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"table nas.frames has 24 columns but 30 values were supplied","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT ... SELECT *","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"does positional mapping, which blows up the moment column counts diverge.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Let me verify the recent screenpipe changes and then fix this properly.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXButton","text":"Diagnosed schema drift, architected resilient migration strategy","depth":22,"on_screen":false,"role_description":"button","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXStaticText","text":"Diagnosed schema drift, architected resilient migration strategy","depth":23,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"What's happening","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"What's happening","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260429000000 add evicted at to chunks","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"video_chunks.evicted_at","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260502000000 add elements on screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"elements.on_screen","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260504120000 add document path column","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.document_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260501000000 add redacted columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"screenpipe/pii-redactor","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"model)","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260503000000 add frames image redacted","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"frames.image_redacted_path","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"20260506120000 add memories sync columns","depth":27,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"→ memories table","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Your NAS","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"archive.db","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"was created before these landed.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"CREATE TABLE IF NOT EXISTS","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"is a no-op on existing tables, so the NAS schema froze. Then","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"INSERT INTO nas.frames SELECT * FROM main.frames","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"does","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"positional","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"mapping → 30 source values into a 24-column NAS table → parse error.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"You weren't wrong about","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"npx screenpipe@latest","depth":26,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXHeading","text":"The fix","depth":24,"on_screen":false,"role_description":"heading"},{"role":"AXStaticText","text":"The fix","depth":25,"on_screen":false,"role_description":"text"},{"role":"AXStaticText","text":"Two changes make this future-proof:","depth":25,"on_screen":false,"role_description":"text"}]...
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Claude finished the response
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
You said: after recent updated in screenpipe (find out what are these) I am unable to run script.
Pasted Text, pasted, 353 lines
#!/bin/bash # screenpipe_sync.sh # Syncs Screenpipe SQLite data to a NAS archive database (append-only, no deletions). # Also copies the day's video/frame data folder to the NAS. # # Usage: # ./screenpipe_sync.sh # syncs yesterday (default) # ./screenpipe_sync.sh 2026-04-15 # sync
PASTED
after recent updated in screenpipe (find out what are these) I am unable to run script. (pasted) "lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/.screenpipe $ ~/.screenpipe/screenpipe_sync.sh 2026-05-07
[2026-05-10 11:50:45] ========================================
[2026-05-10 11:50:45] Screenpipe sync starting for: 2026-05-07
[2026-05-10 11:50:45] ========================================
[+00m00s] ▶ Preflight checks
Source DB: OK (2.2G)
NAS mount: OK /Volumes/screenpipe
Archive DB: exists ( 10G)
Data dir: OK (266 files, 292M)
[+00m05s] ▶ Counting source rows for 2026-05-07
frames: 6262
elements: 623002
ui_events: 7412
ocr_text: 1670
meetings: 2
[+00m05s] ▶ Initialising tables, indexes, FTS
creating tables ✓ 0m00s
creating indexes ✓ 0m01s
creating FTS tables ✓ 0m00s
[+00m06s] ▶ Syncing data for 2026-05-07
video_chunks ✓ 0m01s
frames (6262 rows) ⠋ Parse error near line 3: table nas.frames has 24 columns but 30 values were supplied" There were some recent changes in migrations. Here are migrations form the begining of march (approx after I installed irt first time) 20260301000000 create elements table 2026-05-06 17:27:34 True 736637f38c6e0b5547f23c870ebbc3e87ef2d8d33b22ce73f7 ... 1302167
20260301100000 fts external content 2026-05-06 17:27:34 True 44ca0e5fc3b23c19aa09d7ac3fea48de604032d5feced2615c ... 2102875
20260301200000 drop ui monitoring 2026-05-06 17:27:34 True 9ab8a4d8c0d602b491ef1a6ff36076fd7b7c12c05848201682 ... 620375
20260306000000 delete empty transcriptions 2026-05-06 17:27:34 True 5f991a21d663157a2bce5cb9f0729f02181eef817aaef5a0b8 ... 166792
20260309000000 add cloud blob id 2026-05-06 17:27:34 True e1588e32884ec5660d11bbaa995d767fb2172bb9732ad22319 ... 1450542
20260310000000 create memories 2026-05-06 17:27:34 True 4fd07e878de1dd5b8d184e7bca9ee4e6b2480bbf39e5a68ff7 ... 1135416
20260311000000 drop unused tables 2026-05-06 17:27:34 True 3d9eb9d327a61c4055b31e22082cd045e00bd7a875cbdee86b ... 547625
20260312000000 consolidate search to frames full text 2026-05-06 17:27:34 True 5a7a31a359e9e93978d46ab4759fc8cd43898c0fd325d001b7 ... 3038250
20260312000001 drop dead fts tables 2026-05-06 17:27:34 True dd8264b96b4427f40b06ac60b813b77b6d055b24dd727212c5 ... 297250
20260312000002 drop accessibility tags 2026-05-06 17:27:34 True 672b2661f7e0fc8026f2eb6cc5d24935a15db4ed4982aeb973 ... 260167
20260315000000 add frame id to memories 2026-05-06 17:27:34 True f324ec7981134e647b6497126a2b6a7467e94d271d140d0d25 ... 642250
20260316000000 add elements activity summary index 2026-05-06 17:27:34 True 5b3f99a0d58fc73d62f240319d0718963364fdee1e3a7c4866 ... 265834
20260317000000 add elements automation props 2026-05-06 17:27:34 True 4bd132d263de143c7bb0dcf2e3b8074606c58c0f79e6091d13 ... 537750
20260318000000 add elements ref frame id 2026-05-06 17:27:34 True 33282b2c342e4743f096d1e3093146e243d97f392fe4df2cb5 ... 525250
20260319000000 add sync id indexes 2026-05-06 17:27:34 True 22c7a18c918cfcc458f05fdbfe2a0b2bb65a67ae9daeec6028 ... 407083
20260320000000 add note to meetings 2026-05-06 17:27:34 True cfa45b4c98e300c40cd36942839aa20528f47ae3e7b9c86751 ... 519625
20260324000000 drop ocr text delete trigger 2026-05-06 17:27:34 True 99f445308168fc88f993c43f8e884cc4dc7e41411c86b4d3e7 ... 182209
20260326000000 add session path to pipe executions 2026-05-06 17:27:34 True 5aa266dfcd7b741a18dd3ffb6b0ca3caf2e569959074cbc3ff ... 549583
20260411000000 add elements ref frame id index 2026-05-06 17:27:34 True 378589322920e74980ea48c6b44c916cd488e47a8f6172161e ... 232083
20260415000000 frames fts external content 2026-05-06 17:27:34 True 3fdac70da2fd44bca3c3717768b57c4cbee743451b73f13de9 ... 1259250
20260423000000 add speaker id indexes 2026-05-06 17:27:34 True 80e8e0cf144ee620c81b3796196ca22b8e34f9c152ca2ffe8f ... 398709
20260429000000 add evicted at to chunks 2026-05-06 17:27:34 True 180b1d44305df17620929a69ecce60fa3ce0148905adf19ff7 ... 963833
20260502000000 add elements on screen 2026-05-06 17:27:34 True 2cf51a077a75ef32e4e1d722092053ce919bdeee151d3d91fb ... 644500
20260504120000 add document path column 2026-05-06 17:27:34 True d84f7127e1647984eeb1f89e8dffd0918525f128e4608d323f ... 593042
20260506120000 add memories sync columns 2026-05-07 06:45:22 True 800beaaa228c7fbd88fe367dc5b357adb72a3a0635da5a30f4 ... 1777417
20260501000000 add redacted columns 2026-05-08 06:25:45 True 2a4cd6714a2322ccf8f2af6084af5a05e40f460c44c1aaf874 ... 795120667
20260503000000 add frames image redacted 2026-05-08 06:25:45 True . It worked up to the point where I attemtped to remove it and install again since the retention policy doesn't clear old data and it was to big. I am basically moving data to nas and query it form there. mac is for capture only or lets say one week query using claude code. THe main consumer and interface is on nas. How to make it work so new changes won't messup my setup. Seems like I removed the whole folder it was working find runnign with @letest even I may be wrong.
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10 May
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Claude responded: Looking at this carefully, the error tells the whole story:
Claude responded: Looking at this carefully, the error tells the whole story:
Pinpointing schema mismatches from recent PII redaction migrations
Pinpointing schema mismatches from recent PII redaction migrations
Looking at this carefully, the error tells the whole story:
Copy to clipboard
table nas.frames has 24 columns but 30 values were supplied
Your source DB got 6 new columns from recent migrations, but the NAS archive was created earlier with the old schema.
CREATE TABLE IF NOT EXISTS
is a no-op when the table exists, so the NAS schema is frozen at whatever it was when first created. Then
INSERT ... SELECT *
does positional mapping, which blows up the moment column counts diverge.
Let me verify the recent screenpipe changes and then fix this properly.
Diagnosed schema drift, architected resilient migration strategy
Diagnosed schema drift, architected resilient migration strategy
What's happening
What's happening
The error is schema drift, not a screenpipe bug. Your source DB grew 6 columns from these migrations (most landed late April / early May with the PII work):
20260429000000 add evicted at to chunks
→
video_chunks.evicted_at
20260502000000 add elements on screen
→
elements.on_screen
20260504120000 add document path column
→
frames.document_path
20260501000000 add redacted columns
→ redacted columns on frames/ocr_text/elements (this is the big one — accompanies the new
screenpipe/pii-redactor
model)
20260503000000 add frames image redacted
→
frames.image_redacted_path
20260506120000 add memories sync columns
→ memories table
Your NAS
archive.db
was created before these landed.
CREATE TABLE IF NOT EXISTS
is a no-op on existing tables, so the NAS schema froze. Then
INSERT INTO nas.frames SELECT * FROM main.frames
does
positional
mapping → 30 source values into a 24-column NAS table → parse error.
You weren't wrong about
npx screenpipe@latest
working: removing the folder gave you a fresh local DB with the new schema, and querying still works because everything is on one schema. The mismatch only surfaces when you try to merge old + new schemas via the sync.
The fix
The fix
Two changes make this future-proof:...
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519632201_m1.jpg...
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Claude
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7833451658893433439
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1300413918094548632
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idle
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hybrid
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NULL
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iTerm2ShellEditViewSessionScriptsProfilesWindowHelp-zshDOCKER₴81DEV (docker)Last login: Sun May 10 21:10:26 on ttys013₴2APP (-zsh)883-zshPoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ cat ~/.screenpipe/screenpipe_sync.sh | pbcopylukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $||84-zsh*5screenpipe*100% <78• Mon 11 May 20:13:51181O ₴6-zshX7...
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Claude
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Viewing retention policy in screenpipe
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HubSpot rate limit handling with executeRequest
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Untitled
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💬 Screen pipe. Is there ability…
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SMB mount access inconsistency between Finder and iTerm
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Permission denied on screenpipe volume
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Definition of incarcerated
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Lukas Pro
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Evening, Lukas
Lets start from the beginning with the fresh mind. There is a script for screenpipe to copy data for day from mac to nas.
Lets start from the beginning with the fresh mind. There is a script for screenpipe to copy data for day from mac to nas.
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3639037013679154603
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1300413918094548632
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idle
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hybrid
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NULL
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Skip to content
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Screenpipe sync script failing after recent migrations
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Hubspot BadRequest headers debugging
More options for Hubspot BadRequest headers debugging
Monthly expense tracking
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Exporting transaction data from Notion to finance hub
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💬 How much have I spent for groc…
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April 2026 spending by category
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Code diff review
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HubSpot rate limit implementation strategy
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Screenpipe retention policy code location
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Viewing retention policy in screenpipe
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Clean shot x video recording termination issue
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HubSpot rate limit handling with executeRequest
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Untitled
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💬 Screen pipe. Is there ability…
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SMB mount access inconsistency between Finder and iTerm
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💬 What is the best switch I can…
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Permission denied on screenpipe volume
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Screenpipe sync database attachment error
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Last swimming outing with Dani
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Definition of incarcerated
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Lukas Pro
Get apps and extensions
Evening, Lukas
Lets start from the beginning with the fresh mind. There is a script for screenpipe to copy data for day from mac to nas.
Lets start from the beginning with the fresh mind. There is a script for screenpipe to copy data for day from mac to nas.
Add files, connectors, and more
Model: Opus 4.7 Adaptive
Opus 4.7
Adaptive
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iTerm2ShellEditViewSessionScriptsProfilesWindowHelp-zshDOCKER-₴81DEV (docker)Last login: Sun May 10 21:10:26 on ttys013₴2APP (-zsh)883-zshPoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ cat ~/.screenpipe/screenpipe_sync.sh | pbcopylukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $||84-zsh*5screenpipe*100% <78• Mon 11 May 20:14:22181O ₴6-zshX7...
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/Users/lukas/.screenpipe/data/data/2026-05-11/1778 /Users/lukas/.screenpipe/data/data/2026-05-11/1778519693055_m1.jpg...
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Raycast
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True
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monitor_1
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Today
#!/bin/bash…
Issues…
/**…
public function se Today
#!/bin/bash…
Issues…
/**…
public function search(string $objectType, array $payload): array…
private function executeRequest(callable $apiCall)…
MatchActivityCrmDataTest
HubspotPaginationServiceTest
MatchActivityCrmDataTest
RateLimitException
executeRequest
HandleHubspotRateLimit
HandleHubspotRateLimit
MatchActivityCrmData
RuntimeException
RuntimeException
RateLimitException
MatchActivityCrmData
HubspotPaginationService
Jiminny\Services\Crm\Hubspot...
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New Tab
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Screenpipe — Archive
Screenpipe — New Tab
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Screenpipe — Archive
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All docs · AFFiNE
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