Adds per-image integrity tracking so corrupt files are detected, excluded
from random/showcase/ML/suggestion paths, and recoverable by dropping a
fresh copy in /import — closing the gap that surfaced as the WD14
'6 bytes not processed' OSError.
Schema (migration l26042501)
- image_record.integrity_status: unknown | ok | truncated | unreadable | missing
- image_record.integrity_checked_at: timestamptz
- partial index on status <> 'ok' for cheap report/filter queries
Verifier
- app/services/integrity.py: verify_path() dispatches by extension
- PIL two-stage (verify + load with LOAD_TRUNCATED_IMAGES disabled)
- ffprobe for video, zipfile.testzip for archives
- Truncation-vs-unreadable distinction via PIL message hints
Pipeline
- verify_media_integrity Celery task: per-image, idempotent
- verify_unverified_images sweep: only_unknown by default, skips
paths in active import tasks
- Hooked into the end of import_media_file (new + archive paths) and
the supersede branch
- supersede_image() resets status to 'unknown' so the post-supersede
verify writes a fresh truth
- Supersede-on-replace: a fresh /import/<artist>/<filename> matching
a flagged-corrupt record routes through _supersede_existing,
preserving tags/series/embeddings
Exclusions
- /, /api/random-images, tag_and_embed, ml.backfill enqueue, and
get_suggestions all filter integrity_status IN ('ok', 'unknown') so
flagged rows don't poison the gallery, ML, or suggestion math.
'unknown' is treated as healthy so post-migration data stays visible
until the sweep runs.
UI / report
- Settings -> Maintenance: 'Verify unknown' + 'Force re-verify all'
- GET /api/integrity/failed (paginated list of flagged rows)
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Videos now route through a 10-frame sampling branch (configurable via
VIDEO_ML_FRAMES env) instead of the previous unsupported_format early
return. WD14 predictions are aggregated by max-confidence per (name,
category) across frames so sparse signals aren't diluted; SigLIP
embeddings are mean-pooled for a representative shot. Also generates a
fallback thumbnail when the record is missing one, and removes the
video_filter from backfill so videos get enqueued.
Celery soft/hard limits bumped to 240s/360s to accommodate 10x inference.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
WD14 and SigLIP are image-only. The current backfill enqueues every
ImageRecord row, and tag_and_embed retries 3 times (~3 min) on each
video before giving up, blocking the serialized ml queue. Worse,
videos never get a prediction row, so every subsequent backfill
re-enqueues them.
- tag_and_embed: early return 'unsupported_format' for video
extensions, no retry.
- backfill: filter the outerjoin query to exclude video extensions
via VIDEO_EXTS from app.utils.image_importer.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Consolidated merge of feat/tag-suggestions branch. Original 64-commit history
was lost to git-object corruption in a Nextcloud-synced checkout; this single
commit captures the equivalent diff.
Includes:
- pgvector-backed tag suggestion infra (WD14 + SigLIP centroids, ml-worker
container, Celery tasks, suggestion service, accept/reject endpoints + modal
UI with green/red chip buttons)
- Character/fandom integrity: title-case normalization on every write path,
fandom-id backfill, maintenance task + settings button, migrations g26041901
+ h26041901 to canonicalize legacy rows with case-only duplicate merging
- Tag-underscores + modal polish: WD14 name canonicalization at emit + accept
+ add/bulk-add paths, migration i26041901 for legacy-row rename-or-merge
across character/fandom/NULL kinds, suggestion-accept refresh parity via
awaited loadTags, persistent chip tint
bvandeusen