Phase 2 of #871: clean up the duplicate videos already in the library (the #859
"same video from multiple sources" clutter). Import-time dedup (Phase 1) only
prevents NEW dups; this is the operator-triggered cleanup of existing ones.
cleanup_service.dedup_videos(dry_run):
- backfill_video_durations: re-probe NULL-duration videos (pre-#871 rows) so the
existing library participates; idempotent (only NULL rows), writes a negative
sentinel for un-probeable files so they're neither re-probed forever nor matched.
- find_video_dup_groups: cluster same-artist videos by duration (±tol) + aspect,
anchored per cluster to bound the span (no chain drift); keeper = highest pixel
area then bytes. Reuses the importer's _VIDEO_DUP_* tolerances.
- apply: re-point each loser's post links to the keeper (so no post loses the
video) THEN delete the redundant records + files via delete_images (cascade).
dry_run shares the same discovery predicate and returns the projection only
(rule 93). Tags on a loser are NOT merged (noted; videos rarely hand-curated).
- dedup_videos_task (maintenance queue; summary → task_run.metadata).
- POST /maintenance/dedup-videos {dry_run} + GET /maintenance/task-result/<id> so
the card shows the dry-run projection before the destructive apply.
- VideoDedupCard: Preview → shows groups/redundant/reclaimable, then Apply behind
a confirm dialog. Mounted in the Maintenance panel.
Tests: dedup collapses + re-links the loser's post to the keeper + removes the
file; dry-run deletes nothing; distinct durations aren't grouped; task registered.
(Migration 0052 for duration_seconds already shipped with Phase 1.)
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
External downloads import IN PLACE, so the post-attach dedup-skip unlink could
delete a file that IS an ImageRecord's backing file — orphaning the record and
404-ing on playback. Two sources of that:
- Two links on the same post (same film from mega + gdrive) emitted the same
filename into one external/<post_id>/ dir; the second overwrote the first.
Stage per-LINK now (external/<post_id>/<link_id>/) so each file keeps its path.
- The duplicate_hash/duplicate_phash branch unlinked `f` unconditionally. Make it
path-safe: only unlink when `f` is NOT the existing record's canonical file.
Plus an operator-triggered orphan-repair maintenance task
(prune_missing_file_records_task) to clean up records already orphaned by the
bug: scans ImageRecords, deletes those whose file is gone (cascade), with an
NFS-stall guard that aborts without deleting if a large sample is mostly missing.
Wired through POST /api/admin/maintenance/prune-missing-files and a
MissingFileRepairCard in the Maintenance panel.
Tests: refetch-same-link keeps the canonical file; orphan repair deletes only
real orphans and aborts on the mostly-missing guard.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Read cutover verified in prod (suggestions + allowlist read image_prediction;
backfill complete at 908k rows / 51k images). Removes the old JSON column and
everything that fed it:
- ImageRecord.tagger_predictions column removed; migration 0046 DROPs it.
tagger_model_version kept as the "tagged / current?" signal the backfill
sweep reads (needs-tagging check switched to tagger_model_version IS NULL).
- tag_and_embed no longer dual-writes the JSON — image_prediction is the only
write path.
- importer re-import reset drops the JSON line (image_prediction rows are
already deleted on re-import).
- Retired the one-time #768 backfill task + the #764 prune task, their admin
endpoints, and their Maintenance cards (Backfill/PrunePredictionsCard).
- Tests seed/assert via image_prediction; stale column refs removed.
Disk reclaim is NOT automatic: DROP COLUMN is a catalog change. Run
`VACUUM FULL image_record` off-hours afterward to return the ~100 GB to the OS
so DB backups go small (#739). image_prediction (~90 MB) stays in pg_dump — it's
the source of truth now.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The inline INSERT…SELECT backfill in migration 0045 wrapped the table
creation and a ~100 GB pass over image_record.tagger_predictions in one
transaction: nothing committed until the end, it was unmonitorable, and an
earlier MATERIALIZED-CTE form spilled the full 100 GB to temp on NFS. A
deploy got stuck on it for ~2h with image_prediction never appearing.
Split the concerns:
- 0045 now creates ONLY the table + indexes (instant DDL → web boots).
- New backend.app.tasks.admin.backfill_image_predictions_task copies the
>= store-floor predictions from the JSON into image_prediction, batched by
id window and committed per chunk: live progress, resumable (re-enqueues
from the last committed id), idempotent (ON CONFLICT DO NOTHING). json_each
stays in the DB executor streaming each window — no Python-side 100 GB load,
no materialization.
- POST /api/admin/maintenance/backfill-predictions + a Maintenance-tab card
to trigger the one-time run after upgrading.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The one-time backfill that actually shrinks the DB: drops stored
tagger_predictions entries below ml_settings.tagger_store_floor from every
image_record row, and clamps any allowlist min_confidence below the floor up
to it. Keep predicate (confidence >= floor) mirrors Tagger.infer's store gate
so backfilled rows match new imports. Keyset by id ASC, idempotent,
self-resumes on the soft time limit; runs on the maintenance_long lane.
pg_dump copies live data only, so this alone fixes the #739 backup timeout —
the reclaim (VACUUM FULL / pg_repack on image_record) is a separate, optional
disk-return step, brief because post-prune the live data is tiny.
- admin.prune_low_confidence_predictions_task + POST /api/admin/maintenance/prune-predictions
- PrunePredictionsCard in the Maintenance panel (shows the current floor)
- tests: registration + prune-keeps->=floor/drops-<floor + allowlist clamp
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
bvandeusen