Operator-flagged 2026-05-26: Atole artist detail page showed 406 Sources where 1 was right.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
_apply_sidecar is additive: it find-or-creates Post/Source/ImageProvenance
and sets primary_post_id NULL-only, so any IR-migration provenance on the
existing row survives untouched and the new GS sidecar adds a second
ImageProvenance pointing at the freshly-created Post.
Wrapped in try/except so a malformed sidecar can't unwind the file-swap
commit — the file replacement is the critical operation.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Operator hit this 2026-05-25 after the IR tag_apply landed: ~57k images
all scanned into FC in the same week share image_record.created_at, so
the gallery timeline collapses them into a single month bucket and
scroll orders them all together at the top. Their actual publish dates
(spread over years) were already available in Post.post_date but the
gallery never read it.
Backend wire-up:
- tag_apply phase 4 now sets ImageRecord.primary_post_id when creating
ImageProvenance (only if currently NULL — preserves the canonical
download-time linkage set by the importer for new FC ingests).
- gallery_service.py introduces _effective_date_col() =
COALESCE(post.post_date, image_record.created_at), used in:
* scroll() ORDER BY + cursor WHERE clauses
* timeline() year/month group-by
* jump_cursor() year/month filter
* _neighbors() prev/next ordering
- Each method LEFT OUTER JOIN Post on primary_post_id so the COALESCE
works for images without a post (NULL on the Post side, fall back
to created_at).
- GalleryImage gains posted_at + effective_date fields; API /gallery
/scroll exposes both alongside the existing created_at so the UI
can render 'Posted on X (imported Y)' if desired.
- get_image_with_tags() returns posted_at for the modal.
Cursor format unchanged — the encoded datetime is now the effective_
date (whichever column won the COALESCE) and pagination remains
consistent.
To pick up new behavior for an already-migrated IR set: re-run
/api/migrate/tag_apply on the existing manifest (phase 4 is
idempotent; the new primary_post_id assignment backfills).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
_PLATFORM_PROFILE_URL had only patreon/subscribestar/hentaifoundry but
FC's extension_service.py recognizes 5 platforms. Any IR PostMetadata
with platform=deviantart or pixiv fell through _profile_url returning
None and the entry was silently skipped — explaining operator's
2026-05-25 finding that IR-migrated images had tags but no provenance
for the deviantart + pixiv subscriptions.
Pixiv caveat noted in comment: real profile URL takes numeric user_id
(https://www.pixiv.net/users/12345) but IR's PostMetadata.artist
stores display name. We slug the name and use it as if it were the id
so the artist->post->image linkage survives migration; the resulting
Source.url won't resolve in a browser and operator can fix via
Settings -> Subscriptions later if they want.
To recover existing IR-migrated state: re-run /api/migrate/tag_apply
on the existing manifest. Phase 4 is idempotent; new posts get
inserted only for the previously-skipped platforms.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Operator hit a corrupt JPEG in the IR set 2026-05-25: PIL.verify() only
validates header structure but doesn't catch truncated/broken pixel
data. The error surfaces later in _transparency_pct (via getchannel
'A' -> load) or compute_phash (load) — both blow up with OSError
'broken data stream when reading image file'. Celery's autoretry_for
then bounces the same file forever instead of marking it skipped.
Wrap both PIL.load-triggering call sites with try/except OSError ->
ImportResult(status=skipped, skip_reason=invalid_image).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
The HF repo Camais03/camie-tagger-v2 has camie-tagger-v2.onnx (789 MB)
+ camie-tagger-v2-metadata.json (7.77 MB) at root, NOT model.onnx +
selected_tags.csv. Tags ship as nested JSON (dataset_info.tag_mapping)
not CSV. Per the published onnx_inference.py reference: input is NCHW
not NHWC, normalize with ImageNet mean/std, pad-square color (124,116,
104), sigmoid the second output (refined predictions) not the first.
Operator hit this during the IR migration ML backfill — download_models
silently fetched only 3 json files (allow_patterns matched nothing
useful), tagger.load() then raised RuntimeError. Fetched the actual
v2 layout via WebFetch, rewrote tagger to match published reference.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
bvandeusen