Ranked feed — affinity was broken:
- Was looking up user_tag_affinity by v.category (e.g. "Science & Technology")
but affinity is stored using fine-grained video tags ("linux", "rust", etc.)
- Now uses SUM across all matching affinities: category OR any tag found in the
video's tags JSON via instr() — up to 5 matches to prevent runaway scores
Ranked feed — completion rate now influences channel scoring:
- Added avg_completion_pct to channel_stats CTE (AVG of completion_percent)
- Channels where you finish videos score higher; channels you bail on score lower
- Defaults to 50% (neutral) for channels with no tracked completions
Progress endpoint — backend auto-watched safety net:
- If completion_percent reaches ≥90% on a video >60s, mark watched automatically
- Catches cases where browser closes before the 10s debounce fires
- Guards against double-calling _update_affinity with not prev_watched check
VideoPlayer — seamless local file switch:
- Removed switchedToLocal state which caused a race condition: video loaded with
local_file_url already set but flag was still false, requiring a page refresh
- local_file_url from the backend is the single source of truth (backend gates
it with os.path.exists so it only appears when the file is actually on disk)
- Show spinner while video metadata loads, then immediately show local player
if file exists — no YouTube flash for already-downloaded videos
- After download completes, single refetchVideo() picks up the new URL and
React re-renders directly into local player
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
All inline SQL queries in the feed endpoint (chronological, random,
inbox, ranked scored CTE, and discovery injection) were missing
c.thumbnail_url AS channel_thumbnail_url — only _VIDEO_SELECT had it.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Reading from the channels query cache was unreliable (cache might not be
loaded, or channel not followed). Add c.thumbnail_url AS channel_thumbnail_url
to _VIDEO_SELECT so every video response carries its channel avatar directly.
VideoCard uses it with cache as fallback.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Comments: switch from CLI --write-comments to yt-dlp Python API with
getcomments=True — more reliable, proper extractor_args dict format
Dislikes: add dislike_count column, fetch from returnyoutubedislike.com
after each video metadata upsert (5s timeout, non-fatal)
UI: replace emoji like count with a like/dislike ratio bar — blue fill
showing like proportion, labels on each end; views stay in meta row
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Same pattern as view_count: model column, yt-dlp extraction, SQL select,
VideoDetail field, startup migration, and display in Watch meta row.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Video model: view_count column (Integer, nullable)
- ytdlp._normalize_video: extract view_count from yt-dlp info
- _VIDEO_SELECT: include v.view_count in all queries
- VideoDetail schema: view_count field
- Watch page: formatViews() helper, show "X.XM views" in meta row
alongside date and category
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- VideoComment model (video_id, author, text, likes, is_pinned, published_at)
- fetch_video_comments() in ytdlp.py: top 20 comments, no reply threads,
sorted pinned-first then by likes
- GET /videos/by-yt/{id}/comments — returns cached comments instantly
- POST /videos/by-yt/{id}/comments/refresh — fetches from YouTube, stores, returns
- Watch page: CommentsSection shows "Load comments" button when uncached,
renders comments with author/likes once loaded; Refresh link to re-fetch
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Self-hosted personal YouTube management app.
FastAPI + SQLite backend, React + Vite + Tailwind frontend.
Dockerfiles and compose included for Portainer deployment.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
