- Video detail (done videos): added 'Download audio' button; removed the
manual 'Thumbnail' button (thumbnails auto-download now, so it was redundant).
- New 'GET /api/videos/{id}/audio' endpoint (also serves HEAD for probing),
serving data/audio/<video_id>.mp3. Audio job outtmpl switched to %(id)s so
files are addressable per video.
- Integrated <audio> player appears in the detail view once the MP3 is present
(probed via HEAD on openVideo; polled after a download job until ready).
- Synced transcript follower: as audio plays, the matching segment is
highlighted (seg-active) and auto-scrolled into view like a karaoke/lyrics
tracker. Clicking any segment timestamp or chapter seeks the audio to that
point (falls back to scroll when no audio). Playback indicator pulses while
playing.
Scraper de canales de YouTube hacia notas Markdown para base de conocimiento
(Obsidian-ready), con plataforma web local.
Engine + CLI (Workstream A):
- Modular pipeline: discover/extract/parse/chapters/render/store + ratelimit
- SQLite store con migración idempotente: FTS5 (transcript search), columnas
de metadata enriquecida, tablas cookies_meta y scrape_jobs
- Módulos: segments, cookies (Netscape vault), export (json/csv/srt/html),
analysis (word freq/timeline/wordcloud), monitor (watch loop), pipeline
- CLI Click group: search, export, audio, channels, watch, analyze, re-render
- Fix del bug de scoping de cookies en cli.py
Webapp local (Workstream B):
- FastAPI backend: dashboard, channels, videos facetado, transcript, search
FTS, analysis, scrape jobs con SSE, cookies drag-and-drop, exports,
folders (abrir en OS), tools (re-render, formato)
- SPA no-build (Alpine.js + Tailwind + Chart.js por CDN): 9 vistas, tema
dark command-center con acento rojo→rosa, cookie vault drag-drop,
consola de scrapeo con progreso live vía SSE
Launcher + subagentes (Workstream C):
- start-server.bat / stop-server.bat con auto port-scan + browser open
- .opencode/agent/webapp-builder.md + .opencode/goals/webapp-build.md
Tests: 38 pytest verdes. Sin funcionalidad de IA (enfoque data-mining).
urieljareth