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feat(maintenance): scheduled job to retire unplayable videos

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Add a daily maintenance/validation job that detects videos which can't be played
anywhere and retires them safely. Two phases: re-check already-flagged videos
(recover if available again, else hard-delete once the grace period elapses,
cascading to states/playlist items), and a rolling re-validation of the
least-recently-checked currently-available videos that flags newly-unplayable
ones (hidden from the feed immediately via unavailable_since).

Detection is ~free: a video missing from the videos.list response is
deleted-or-private; an `upcoming` premiere >2 days past its scheduled start that
never went live is abandoned. A still-live broadcast is kept (legit 24/7 stream).
Enrichment now also fetches part=status to populate the status columns. Grace is
7 days for removed videos, none for abandoned. Before deleting, affected users
get one batched notification (never per-video). Interval is admin-tunable via the
Scheduler dashboard; batch size and grace are config. Quota-attributed to the
system and bounded by the same backfill reserve as the other jobs.
This commit is contained in:
npeter83 2026-06-18 03:20:28 +02:00
parent 3ae42409b3
commit 05df599f7a
6 changed files with 280 additions and 1 deletions
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6
backend/app/sync/videos.py
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@ -217,6 +217,7 @@ def apply_video_details(video: Video, item: dict) -> None:
stats = item.get("statistics", {})
topics = item.get("topicDetails", {})
live = item.get("liveStreamingDetails")
status = item.get("status", {})
video.title = snippet.get("title") or video.title
video.description = snippet.get("description")
@ -232,6 +233,11 @@ def apply_video_details(video: Video, item: dict) -> None:
"defaultAudioLanguage"
)
video.live_status = _live_status(snippet, live)
# status part: used by the maintenance/validation job to judge playability.
if status:
video.embeddable = status.get("embeddable")
video.privacy_status = status.get("privacyStatus")
video.upload_status = status.get("uploadStatus")
# is_short is decided separately by the youtube.com/shorts probe (run_shorts_classification).