feat/siglip-concept-crops
425 Commits
| Author | SHA1 | Message | Date | |
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 bvandeusen
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c6f38b0dac |
feat(tagging): SigLIP concept crops + max-over-bag scoring (#114)
Lift recall on small/local concepts (glasses, cum, stomach-bulge, xray, lactation) that the whole-image SigLIP vector washes out: the GPU agent now embeds figure crops with SigLIP too, stored as kind='concept' regions, and the suggestion rail scores each image as a BAG (whole-image + every concept crop), taking each head's MAX over the bag. The whole-image vector is always in the bag, so this can never score lower than before. Model-agnostic by construction: the server ANNOUNCES the embedding model (HF name + version) in the lease, so the agent loads whatever the heads were trained in and stays in lock-step — a model swap is a server setting + a re-embed migration, never an agent change. - agent: model-agnostic CropEmbedder (torch/transformers get_image_features, fp16 on CUDA, inference-locked); worker branches on job.task — 'ccip' emits figure(CCIP)+concept(SigLIP) in one pass, 'siglip' emits concept-only so the back-catalogue backfill never churns figure/CCIP regions; torch cu124 + transformers in the image. - server: lease announces embed_model_name/embed_version; score_image is max-over-bag (version-filtered region embeddings); enqueue_gpu_backfill 'siglip' gates on a missing concept region (drains the back-catalogue, retries failures, no double-enqueue); daily siglip-backfill beat; UI button; /api/ccip/overview reports images_with_concept_siglip. - v1 scope: suggestion rail only — auto-apply stays whole-image (conservative; heads' thresholds were calibrated on whole-image). Bulk-apply bag = follow-up. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa |
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bvandeusen
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b91a230f12 |
feat(ccip): automation + reference quality — keep identity flowing hands-free (#114)
Works through the optional CCIP ideas + the "keep moving even if I forget" ask:
AUTOMATION (no button needed):
- Hourly beat auto-enqueues CCIP backfill — new images get embedded (and errored
ones retried) on their own; the queue never goes idle waiting for a click.
- CCIP auto-apply: a daily sweep tags confident matches (source='ccip_auto') so
identity tags keep flowing. ON by default (opt-out, like head auto-apply);
ml_settings.ccip_auto_apply_enabled + _threshold (0.92, above the suggest cut),
migration 0064. Vectorized (one matmul + reduceat per image), reversible, skips
already-applied/rejected. Switch + threshold in the GPU agent card; GET/PATCH
/api/ml/settings; auto_applied count in /api/ccip/overview.
REFERENCE QUALITY (the over-fire root cause):
- character_references now draws ONLY from single-character images — on a
multi-character image the tag is image-level, so every figure would otherwise
pollute each character's prototypes (a 2-char image tagged 'Velma' made
Daphne's figure a Velma reference). This is the contamination behind residual
over-firing.
- Cached on a cheap signature (char-tag count + ccip-region count/max-id) so the
reference load isn't redone on every modal open.
Tests: multi-character image not used as a reference; auto-apply tags a confident
match as ccip_auto.
NEXT (not done, confirmed): comic-panel cropping + SigLIP concept crops ("spot
interesting content").
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa
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bvandeusen
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625336b6b4 |
feat(ccip): tunable match threshold, default 0.85 (#114)
Live data showed the v1 flat 0.75 cosine over-fired — ~64% of matched images got
3-10 character guesses dominated by the most-referenced characters (a 27-ref
character clears a low bar on many images). A sweep showed 0.85 collapses the
noise (noisy multi-matches 47→3) while keeping the confident single-character
matches.
- ml_settings.ccip_match_threshold (migration 0063, default 0.85); match_image
reads it (override still accepted). DEFAULT_SIM_THRESHOLD fallback 0.75→0.85.
- Exposed in GET/PATCH /api/ml/settings (validated 0.5–0.999).
- Slider in the GPU agent card ("Character-match strictness") — tune live, no
redeploy, same observe-and-tune loop as auto-apply.
Test: a ~0.9-cosine figure matches at 0.85, dropped at 0.95.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa
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bvandeusen
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2cb0427868 |
feat(gpu): fast orphan recovery — graceful release + 60s sweep (#114)
So work an agent orphaned gets picked back up quickly, three layers: - GpuJobService.release(): a graceful agent stop hands its still-leased jobs back to pending instantly (POST /api/gpu/jobs/release), no waiting out the lease. - GpuJobService.recover_orphaned() + recover_orphaned_gpu_jobs Celery task on a 60s beat: resets expired leases (a hard-crashed agent) to pending and keeps the queue counts honest even when nothing is leasing. - Lease TTL 300→180s: still well above any single job (a capped-frame video embed is tens of seconds, and a live worker heartbeats), but a hard crash recovers faster once the sweep fires. Tests: release returns-to-pending (token-scoped), recover_orphaned resets only expired leases, release API round-trip. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa |
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bvandeusen
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de33bab41c |
feat(ccip): read-only observability API for the crop/CCIP work (#114)
So the work can be checked through an API as the agent fills in vectors (same pattern as /api/heads/metrics): - GET /api/ccip/overview: regions by kind, images with figure CCIP vectors, the per-character reference counts (which characters have enough examples to match on), and the embedding versions present. - GET /api/ccip/images/<id>: that image's stored regions (bbox, frame_time, has_ccip/has_siglip, versions) + the CCIP character matches it would get — for spot-checking detector + matcher output. Read-only, no GPU. (Queue depth is already at /api/gpu/status.) Tests: overview coverage counts + per-character refs; per-image regions + matches. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa |
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bvandeusen
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5faf34a3b5 |
feat(suggestions): overlay CCIP character matches onto the rail (#114)
SuggestionService.for_image now merges CCIP character matches with the SigLIP head suggestions — they're complementary, not exclusive: CCIP is the identity- specialized signal but needs a detected figure; the heads work whole-image but conflate identity with style. Merged by tag: 'both' when they corroborate (higher score wins), 'ccip' / 'head' otherwise. Cheap when no CCIP vectors exist yet (match_image returns early without a figure vector), so it's a no-op until the agent runs. Suggestion.source is now 'head' | 'ccip' | 'both'. Test: a character with a CCIP reference figure surfaces (source='ccip') on a new image whose figure matches. NEXT: the agent container (real CCIP/detector models, hands-on) that produces the vectors this consumes. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa |
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bvandeusen
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d57ca847e7 |
feat(ccip): few-shot character matcher (#114 slice 5)
The server-side brain that turns stored CCIP vectors into character suggestions
— no GPU. character_references() gathers each character tag's prototype vectors
(figure/face-region CCIP embeddings on images carrying that tag); match_image()
cosine-matches an image's figure vectors against every character (multi-
prototype: best over a character's examples), surfacing those above a tunable
threshold as {tag_id, name, category:'character', score, source:'ccip'},
excluding already-applied characters. v1 = cosine on raw CCIP vectors; the exact
CCIP metric/threshold gets validated against the model in the hands-on eval.
Tests (synthetic vectors): same-character match across images, no-match for an
orthogonal figure, already-applied exclusion, no-figure-vectors empty.
NEXT: merge CCIP character suggestions into the rail; the agent container that
actually produces the vectors (hands-on, GPU — not CI-verifiable).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa
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bvandeusen
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6cabef07a4 |
feat(gpu): HTTP job API + token auth + backfill — the agent's server side (#114 slice 3b)
The thin HTTP surface over the queue so the desktop agent stays HTTP-only: - Agent endpoints (Authorization: Bearer <token>): POST /api/gpu/jobs/lease (returns jobs + image_url + mime + video frame cadence), /submit (stores regions via RegionService + closes the job; 409 on a stale lease), /heartbeat, /fail. Token validated against AppSetting (mirrors the extension-key pattern, constant-time compare). - Admin (browser): GET/POST /api/gpu/token[/rotate] (generate + show the agent token), GET /api/gpu/status (queue counts), POST /api/gpu/backfill → dispatches enqueue_gpu_backfill. - enqueue_gpu_backfill(task): one INSERT…SELECT enqueues a job per image lacking one for the task (scales to the full library; idempotent). Agent flow: lease over HTTP → fetch pixels via the normal FC image URL → compute on the GPU → submit. Redis/Postgres never exposed. Tests: bearer required (+ wrong-token 401), lease→submit round-trip (region+CCIP vector stored, job done via /status), stale-lease 409, backfill enqueue + idempotency. NEXT: the agent container + control UI, then the CCIP detector/embedder + matcher. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa |
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bvandeusen
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b735432d02 |
feat(gpu): video-ready regions + the HTTP GPU-job queue engine (#114 slice 3)
Answers "how are videos/all media handled by the GPU worker": a job is per ITEM, but the agent fans a VIDEO into per-frame instances (ffmpeg in the agent, the existing cadence), each stored with a timestamp — so a video becomes a BAG of frame embeddings (fixes the mean-embedding muddle) instead of one washed-out vector. Stills → frame_time NULL; animated GIF/WebP treated like short video. - image_region.frame_time (migration 0061, not yet deployed so folded in): the source frame's seconds for video/animated media; NULL for stills. RegionService passes it through. A whole frame is just kind='frame'. - gpu_job + GpuJobService (migration 0062): the durable work list that keeps the desktop agent HTTP-only — enqueue (dedupes (image,task)) / lease (FOR UPDATE SKIP LOCKED, re-claims expired leases so the queue self-heals) / heartbeat / complete / fail (re-queues until MAX_ATTEMPTS then 'error'). The server enqueues; the agent leases+submits over the web API; Redis/Postgres stay private. Tests: enqueue dedupe, lease-then-skip-when-held, expired-lease reclaim, scoped heartbeat, complete, fail-requeue-then-error. region test now covers frame_time. NEXT: the thin HTTP API (lease/submit/heartbeat) + bearer-token auth, then the agent container + control UI. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa |
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bvandeusen
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0ea7ecdea5 |
feat(regions): image_region storage + service for the crop pipeline (#114 slice 2)
The storage backbone both crop jobs write to and read from. image_region =
normalized bbox (rx/ry/rw/rh) + kind ('face'/'figure' → CCIP character id;
'concept' → SigLIP head bag) + the crop's embedding (nullable Vector(768) CCIP /
Vector(1152) SigLIP, one per kind) + version stamps for compute-once gating. The
bbox doubles as grounded-tag provenance. Migration 0061.
RegionService.replace_regions (scoped BY KIND so the figure + concept pipelines
don't clobber each other) + get_regions — the GPU agent's results endpoint will
call the writer; the character matcher + bag scorer read. Server-side, no GPU.
Tests: replace/get round-trip, kind-scoped replacement, CCIP vector round-trip.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa
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bvandeusen
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e8d3400d22 |
feat(crops): shared crop primitive for the region/crop pipeline (#114)
The trunk of both crop jobs — CCIP figure-crops and SigLIP concept-crops call the SAME crop_region(): normalized-bbox crop with optional context padding, edge-clamping, and the lower-bound size floor (max of a fraction-of-short-side and an absolute pixel floor) below which a region is too small to embed and returns None. Only the proposer (where) and embedder (what) differ; the crop is shared. Pure Pillow — importable + testable anywhere (the GPU agent imports it for the crop step). Unit-lane tests (no DB): region pixels, floor rejection, edge clamp, pad expansion, out-size resize. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa |
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bvandeusen
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a5a95320df |
fix(test): disable switch explicitly now that auto-apply defaults ON
test_auto_apply_disabled_blocks_real_run assumed head_auto_apply_enabled defaulted False; it now defaults True (opt-out), so a real sweep is accepted (202). Set the switch off in the test to exercise the disabled→400 path. (run 1629) Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa |
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bvandeusen
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48c8811d69 |
feat(heads): auto-apply observability + on by default (#114 auto-apply B)
Auto-apply is now ON by default (operator-asked: opt-OUT, not opt-in) — migration 0059 + model default flipped. The support (>=30) + measured-precision gates keep it safe and every auto-tag is reversible. Observability so the operator can tune from real data: - MISFIRE = an auto-applied (source='head_auto') tag the operator later removes. UNDER-FIRE = a tag with a head the operator adds by hand (the head missed it). Both captured at correction time in TagService.add_to_image/remove_from_image (source is lost on delete) into durable per-tag counters (head_metric), keyed by tag so they survive head retrain/prune. - Daily snapshot_head_metrics writes a per-concept time-series point (head_metrics_snapshot): auto-applied volume + cumulative misfires/under-fires + head quality; 180-day retention; daily beat. - GET /api/heads/metrics: per-concept current counts + realized misfire rate + head quality, plus the snapshot time-series — the report to tune the precision target + support floor. Migration 0060. Tests: misfire/under-fire counting (and the negatives — manual removal isn't a misfire, headless manual add isn't an under-fire), snapshot time-series, metrics API. What's the autofire threshold? There's no single number — each graduated head derives its OWN probability cutoff from its PR curve: the operating point that holds precision >= head_auto_apply_precision (0.97) at max recall. The global knobs are that target + the >=30 support floor. NEXT (slice 3): UI — enable toggle, dry-run preview, per-concept trends. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa |
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bvandeusen
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01933c5b26 |
style(test): drop unused img in ungraduated-head sweep test (ruff F841)
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa |
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bvandeusen
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74fef908d2 |
feat(heads): earned auto-apply — sweep mechanism, off by default (#114 auto-apply A)
Graduated heads can now apply their tag without a human — gated so it's safe:
- FIRING GATE: a head fires only when the master switch (head_auto_apply_enabled,
default OFF) is on AND it has >= head_auto_apply_min_positives (default 30)
clean labels. A precise-looking but under-supported low-N head can't spray tags.
- auto_apply_sweep (heads.py): streams every embedded image in chunks, scores
against the eligible heads (numpy, no sklearn), applies each head's tag where
score >= its auto_apply_threshold and the tag isn't already applied/rejected,
with source='head_auto' (distinguishable + reversible). dry_run counts only.
- HeadAutoApplyRun (migration 0059) tracks each sweep / preview; apply_head_tags
task (ml queue) + scheduled_apply_head_tags daily beat (no-op unless enabled)
+ recovery sweep + retention(20).
- API: POST /api/heads/auto-apply {dry_run} (202 / 409 running / 400 disabled),
GET /api/heads/auto-apply (recent runs + per-concept report). Settings
head_auto_apply_enabled + min_positives via /api/ml/settings.
Tests: sweep applies above threshold, dry-run writes nothing, skips under-
supported + ungraduated heads; API disabled/dry-run/conflict guards.
NEXT (slice 2): the observability the operator asked for — per-concept misfire
(auto-applied-then-removed) + under-fire tracking, time-series snapshots, and a
reporting API to tune. Slice 3: the UI (enable, preview, trends).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa
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bvandeusen
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ca1c17446c |
feat(suggestions): heads are the suggestion source — Camie + centroid removed (#114 C)
The rail's Suggestions now come from the trained per-concept heads. SuggestionService.for_image scores the image's frozen SigLIP embedding against every head (heads.score_image) and surfaces concepts above each head's own suggest threshold; the typed-dropdown's min=0 "show everything" mode maps to a flat floor so any head-scored concept can still be picked. Already-applied tags drop; rejected tags stay flagged + reversible (unchanged). REMOVED from the suggestion path (rule 22, no fallback): the Camie ImagePrediction candidate/alias/merge pipeline and the per-tag centroid augmentation, plus the now-dead SuggestionService internals (_load_predictions, _threshold_for, _settings, self.aliases, self.centroids). Head suggestions are always canonical tags, so raw_name/via_alias are null/false and the rail's alias kebab is inert by data (its removal + the Camie ingest-tagger rip are the flagged follow-up). for_selection (bulk consensus) now aggregates head suggestions unchanged. Tests rewritten to the head path: test_ml_suggestions (surfaces/applied/ rejected-reversible/override/no-embedding/no-heads), test_suggestions_bulk (consensus), test_api_suggestions (get + dropped the Camie-alias roundtrip), and test_ml_artist_retired (artist not head-eligible via _HEAD_KINDS). DEPLOY NOTE: after this lands, the rail is empty until you run Train heads (Settings → Tagging → Concept heads) — deploy, train, then the rail populates. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa |
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bvandeusen
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291b90803d |
fix(test): match rejected suggestion by id, not display casing
test_rejected_tag_surfaced_flagged_then_reversible asserted "Rejectme" but an
existing tag keeps its stored name ("rejectme"), so the suggestion's
display_name is lowercase. Match by canonical_tag_id instead (casing-robust).
The feature was correct — only the assertion was wrong (run 1595 integration).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa
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bvandeusen
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22c3b54746 |
feat(heads): production per-concept heads — train + score backend (#114 A)
The eval (#1130) proved the frozen-embedding + trained-head spine; this lands its production form (the first of three slices that make heads the suggestion source, replacing Camie + centroid). - tag_head: one logistic-regression head per general/character concept with enough labelled positives. Weights (pgvector), honest CV-derived suggest threshold + earned-auto-apply point, and per-concept quality metrics. - head_training_run: persisted batch lifecycle (mirrors tag_eval_run) so the admin card shows live + historical status across navigation. - services/ml/heads.py: TRAIN (sync, ml worker, reuses tag_eval's proven data loaders + metric math so production heads match measured eval numbers) and SCORE (async, API worker — numpy via pgvector, no scikit-learn): score one image's embedding against all heads → the rail's suggestions, cached on (count, max trained_at) so a retrain invalidates without per-request loads. - tasks.ml.train_heads (ml queue, commits per head so a kill leaves progress) + recover_stalled_head_training_runs sweep + retention(20) + 5-min beat (rule 89). - api/heads.py: POST /api/heads/train (one run at a time, 409 guard) + GET /api/heads (count, graduated, last-trained, running, per-concept table, recent runs). - ml_settings: head_min_positives + head_auto_apply_precision, tunable via /api/ml/settings. Scoring isn't wired into the rail yet (slice C) and the admin UI is slice B — this slice makes training + scoring exist and CI-verifiable. 'precision' column stored as precision_cv (SQL reserved word). Migration 0058. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa |
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bvandeusen
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179c1a9dcc |
feat(suggestions): visible, reversible rejection in the modal rail
A red-✗ dismissal no longer makes the suggestion vanish. The rejected tag stays in the rail — dimmed, struck-through, with a "rejected" pill and a one-click undo (↶) in place of the ✗ — so a misclick is recoverable and the operator can see what they've said no to (operator-asked 2026-06-27). Backend: SuggestionService.for_image now KEEPS rejected tags, flagged rejected=True, sorted to the bottom of their category, instead of dropping them. New AllowlistService.undismiss + POST /suggestions/undismiss clears the TagSuggestionRejection. Rejected items are still excluded from bulk consensus (for_selection) and the type-to-add dropdown, whose jobs are unchanged. Frontend: store.dismiss flags in place (canonical tags) rather than dropping; new store.undismiss reverts. SuggestionItem renders the rejected state and swaps ✗→↶; ✓ still accepts (which clears the rejection server-side). Tests: rejected-surfaced-flagged-then-reversible (service) + undismiss endpoint idempotency (API). Completes #1134's reversible-rejection half. Heads-as-suggestion-source is the remaining piece. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa |
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bvandeusen
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6e3c5f697f |
feat(ml): tag-eval backend — head-vs-centroid learning-curve eval (persisted)
Slice 1 of milestone #114 (tagging v2). Proves the frozen-embedding + trained- head spine on the operator's own data, reusing the SigLIP embeddings already stored on image_record — no re-embedding, no GPU. Per concept: train a logistic-regression HEAD (positives + negatives = explicit rejections + sampled unlabeled) vs the old single-CENTROID baseline; report cross-validated precision/recall/AP for both, a LEARNING CURVE (AP/F1 as tagged positives grow 10→30→100→300), and example image ids (head-would-suggest / head-doubts-positive) to eyeball. Persisted so the report SURVIVES navigation (operator-flagged): the run + full report live in a new tag_eval_run row (mirrors library_audit_run); the admin card will rehydrate from GET on mount, not transient state. - models.TagEvalRun + migration 0056; runs on the ml queue (only worker with numpy/sklearn) — numpy/sklearn lazy-imported so the API can still enqueue. - services/ml/tag_eval (compute + start helper, one-running guard), tasks.ml .tag_eval_run, api/tag-eval (POST create, GET history light / detail w/ report). - recover_stalled_tag_eval_runs sweep + retention (keep last 20) + 5-min beat (rule 89). scikit-learn added to requirements-ml. - tests: param normalization + the rehydrate read-path + create/conflict. Frontend admin card (trigger + render persisted report) follows next. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> |
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bvandeusen
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e3855a5ae0 |
chore(tags): remove orphaned cluster tag-gaps route + service method
The cluster tag-gap feature's only UI (Explore's TagGapPanel) was removed in the 3-pane rework, leaving the backend that fed it with no caller. Surgical removal: - drop the POST /api/images/cluster/tag-gaps route (cluster_tag_gaps) - drop BulkTagService.tag_gaps (+ the now-unused `import math`) - drop the tag_gaps tests (test_bulk_tag_service, test_api_bulk_tags) BulkTagService's common_tags / bulk_add / bulk_remove stay — they still back the gallery bulk editor. Pure deletion, no behaviour change. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> |
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bvandeusen
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1aadf3267b |
fix(tags): correct directory image_count — fandom leg must correlate the outer tag
The directory card count regressed to a globally-inflated number (~every card showed the same ~469): the fandom leg used a doubly-nested correlated subquery — image_tag.tag_id IN (SELECT member.id WHERE member.fandom_id == Tag.id) — whose inner predicate did not correlate the outer Tag, so it matched EVERY character that has any fandom and counted all their images for every tag. The gallery scope and cleanup count were unaffected (they pass a literal tag id, a single-level subquery), which is why only the card diverged from the gallery. Rewrite the count as a single-level correlated scalar subquery: join `member` (the tag applied to the image) and match image_tag.tag_id == Tag.id (direct) OR member.fandom_id == Tag.id (a character of this fandom). Strengthen the directory test with a second unrelated fandom/character so a non-correlating fandom leg fails (count would read 4 instead of 3). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> |
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bvandeusen
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10434509d3 |
fix(tags): fandom views aggregate images via their characters
A fandom owns characters via Tag.fandom_id, but every image<->tag query went purely through direct image_tag rows, so a fandom only surfaced images literally tagged with it — images carrying one of its characters were invisible to its browse count, previews, and gallery filter. Derive membership at query time instead of materializing fandom rows (which would drift on every reassign/merge/remove). Add one shared predicate in tag_query.py — image_in_tag_scope / image_in_any_tag_scope: an image belongs to a tag if tagged with it directly OR (when the tag is a fandom) carrying a character whose fandom_id is that tag. The character leg is empty for non-fandom tags, so it applies uniformly with no kind branching. Route all read sites through it: - gallery _apply_scope: include, OR-groups, and symmetric exclude - directory image_count: correlated COUNT(DISTINCT) scalar subquery - directory previews: UNION direct + via-character, then ROW_NUMBER<=3 - cleanup count_tag_associations: Tier-B delete prompt now reports a fandom's true blast radius (was 0 for fandoms with no direct rows) find_unused_tags already protected fandoms via used_via_fandom; left as is. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> |
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bvandeusen
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b85327a79d |
fix(celery): harden broker connection so workers ride out a Redis blip
A swarm overlay-network blip after the :latest redeploy left Redis healthy but transiently unreachable; a worker starting in that window crash-looped on the initial broker connect (kombu OperationalError) and needed a manual Redis reset to recover. Retry the broker forever on startup + at runtime (broker_connection_max_retries =None), add redis-transport socket options to the broker (short connect timeout, TCP keepalive, retry_on_timeout, periodic health check), and mirror the same on the Redis result backend. Now a transient outage self-heals when overlay routing returns instead of the worker exiting. Test pins the key resilience settings. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01XCUHUGQLrBrkgyk1t49kpX |
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bvandeusen
|
0ecd1ce4f1 |
feat(explore): cluster-consensus tag-gaps service + route (#94a)
Cluster C, milestone #94. BulkTagService.tag_gaps(image_ids, threshold) finds tags applied to >= threshold fraction of a visual neighbour set but not all of it (the '7 of 10 share Miku; these 3 don't' signal). Each gap carries the laggard image ids minus any TagSuggestionRejection rows, so apply-to-cluster never re-proposes a tag a neighbour dismissed. 100%-common tags and <2-image sets are excluded. New POST /api/images/cluster/tag-gaps. Tests: consensus found / common excluded / missing ids; rejected laggard excluded from missing; tag dropped when all laggards rejected; <2 images empty; route shape + bad input. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01XCUHUGQLrBrkgyk1t49kpX |
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bvandeusen
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0cd2f391ee |
test(allowlist): unique image paths in coverage tests (CI fix)
The new coverage tests' sequential shas (c{i:063d}) share their first 8 chars,
so deriving the image path from sha[:8] collided on uq_image_record_path. Use
the full sha in the path. Same hardening for test_api_suggestions._img.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01XCUHUGQLrBrkgyk1t49kpX
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bvandeusen
|
7127714316 |
feat(tags): non-mutating merge preview + admin dry_run (#8a)
Cluster B, milestone #99. TagService.merge_preview(source, target) computes the same counts the apply produces (rule 93 parity) without mutating: images_moving (source links the apply UPDATEs), images_already_on_target (links it drops), source_total, series_pages, will_alias (_keep_as_alias), a kind/fandom compatible flag (surfaced, not raised, so the UI can warn), and up to 6 thumbnails of the moving images. The admin /tags/<dest>/merge route gains a dry_run flag returning the preview JSON. Tests: preview moving-count == apply merged_count (parity), incompatible flagged without raising, self/missing raise, admin dry_run returns preview + no mutation. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01XCUHUGQLrBrkgyk1t49kpX |
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bvandeusen
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e206778a5c |
feat(allowlist): coverage projection + applied-count + post-accept projection (#7a/#7b)
Cluster B, milestone #99. Backend for the allowlist tuning dashboard. #7a: AllowlistService.coverage(tag_id, threshold) counts distinct images with a prediction resolving to the tag (raw_name==tag.name OR (raw_name,category) in the tag's aliases) scoring >= threshold — the gross candidate pool, mirroring tasks.ml._confidence_for_tag resolution. list_all now carries applied_count (grouped image_tag count) + coverage_count (at the row's threshold). New GET /api/tags/<id>/allowlist/coverage?threshold= for the live what-if number. #7b: /suggestions/accept + /alias return {allowlisted, tag_id, tag_name, projected_count} (projection at the tag's threshold) instead of 204, so the UI can show a non-blocking 'auto-applying to ~N images' toast. Apply still runs async via apply_allowlist_tags — projected_count is an estimate. Tests: coverage by threshold (direct + alias-with-category), list applied vs coverage, coverage route (explicit/default/bad threshold), accept/alias payload (newly-allowlisted vs already-on-list). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01XCUHUGQLrBrkgyk1t49kpX |
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bvandeusen
|
23fab983a0 |
feat(gallery): tag→gallery nav from modal chips (#5) + OR/exclude tag scope (#6a)
Cluster A, milestone #97. #5: clicking an image-modal tag chip's body now closes the modal and opens the gallery filtered for that one tag (fresh filter); ✕/kebab stay as the explicit remove/rename controls. #6a (backend of OR/exclude filtering): gallery_service._apply_scope gains a structured tag model — tag_or_groups (AND-of-OR: one EXISTS(tag_id IN group) per group) + tag_exclude (NOT EXISTS(tag_id IN exclude)) — layered additively on the existing tag_ids AND path so cursors/facets/deep-links are untouched. Threaded through scroll/timeline/jump_cursor/facets/similar + facets common dict; _require_single_filter rejects post_id combined with OR/exclude. API parses tag_or (repeatable → one OR-group each) + tag_not (csv exclude). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01XCUHUGQLrBrkgyk1t49kpX |
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bvandeusen
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6599a07468 |
refactor(admin): consolidate maintenance-trigger 202 responses onto _queued() (#753 Finding B)
DRY pass follow-up (note #1026). Five handlers returned the identical jsonify({task_id, status:queued}), 202 shape; extract _queued(async_result). Consumers routed through it: tags_normalize (live branch), trigger_reextract_archives, trigger_prune_missing_files, trigger_dedup_videos, trigger_purge_gated_previews. trigger_vacuum stays bespoke (returns no task_id — the UI doesn't poll it). Added route-level tests for all five consumers (these trigger endpoints had no route coverage before): 202 + task_id via _queued, and the dry_run flag threading through to dedup/purge-gated. Behavior unchanged. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> |
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bvandeusen
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6281cb1e66 |
refactor(admin): consolidate Tier-A dry-run/apply handlers onto one helper (#753)
DRY pass on the cleanup/admin destructive-ops surface (task #753, hardened process #594). Five Tier-A endpoints repeated the same get_json -> dry_run -> run_sync(service_fn) -> jsonify block verbatim. Extract _run_dry_run_op(service_fn, **kwargs); the five route handlers now delegate. reconcile keeps its source_id validation and passes it through **kwargs. The cleanup_service predicates were already shared between preview and apply (find_*_conditions / find_duplicate_post_groups) — the post-data-loss fix — so no backend-logic change; this is purely the HTTP-handler boilerplate. Consumers (all routed through the helper, verified no copy left behind): prune_unused_tags, prune_bare_posts, reconcile_duplicate_posts (+source_id), purge_legacy_tags, reset_content_tagging. Added route-level tests for prune-bare (apply) and reconcile (apply + source_id passthrough + invalid-source_id 400) — the two helper consumers that previously had only service-level coverage, so every consumer is exercised at the route. Findings B (queued-response helper) and C (store dry-run POST helper) identified but not applied this pass (operator scoped to A). The card preview->commit state machine is deferred to a frontend pattern-consistency sweep. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> |
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bvandeusen
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77d02f57ae |
fix(reconcile): preserve from_attachment_id when merging duplicate posts (#73/#87)
Milestone #73 (reconcile duplicate gallery-dl/native post rows) shipped in eff6427; closing it out after today's #87 work, which added a seam it didn't account for. _repoint_post_links drops a loser post's ImageProvenance row on the (image, post) uniqueness collision — and that row may now carry from_attachment_id (which archive the file was extracted from). For the exact gallery-dl->native case this targets, the keeper is the native stub (no archive) and the loser is the gallery-dl row that extracted the member, so a blind delete silently lost the containing-archive linkage. Carry from_attachment_id onto the keeper's surviving row (when NULL) before dropping the collision. The rarer PostAttachment-collision case (both dup posts captured the same archive blob) doesn't arise in the targeted scenario — the archive lives only on the gallery-dl post, so it re-points straight to the keeper and the FK stays valid. Test: collision merge preserves the loser's from_attachment_id on the keeper. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> |
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bvandeusen
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5269cd0709 |
feat(provenance): capture which archive an extracted image came from (#87)
Images pulled out of a .zip/.rar previously kept no record of WHICH archive
they came from — the member->archive link was computed during extraction and
discarded, leaving only image->post. So the provenance modal could only scope
attachments to the whole post, showing every archive a 'High Resolution Files'
bundle carried instead of the one a given file lives in.
- ImageProvenance.from_attachment_id: nullable FK -> post_attachment.id
(SET NULL), migration 0055.
- importer: _import_archive stamps from_attachment_id on every member's
provenance row for the post (new + superseded + deduped members), resolving
the archive's own PostAttachment by (post, sha). Post-pass UPDATE, NULL-only
and idempotent, so it doesn't touch the dedup/supersede branches and the
backfill is safe to re-run. Nested members link to the outer stored archive.
- provenance_service.for_image: when the originating post's provenance row
records from_attachment_id, return ONLY that archive; else fall back to the
primary-post scoping from
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bvandeusen
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068def2f24 |
fix(provenance): scope attachments to originating post + scroll-cap the list
The Attachments section aggregated PostAttachment rows across EVERY post an image was pHash-linked to. When one of those was a 'High Resolution Files' mega-bundle (dozens of unrelated archives), the list ballooned past the viewport and overwhelmed the modal's right rail. - for_image() now scopes attachments to ImageRecord.primary_post_id (the post the file was actually captured from), falling back to all linked posts only when primary_post_id is unset (older rows / filesystem imports). - ProvenancePanel wraps the list in a max-height scroll container with a count in the heading, mirroring the cards' independent-scroll treatment. Note: FC stores archives as opaque blobs and never records which archive an extracted image came from, so attachments can't yet be scoped tighter than the post. Capturing image->archive containment is tracked as separate work. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> |
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bvandeusen
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eff64275fc |
feat(maintenance): reconcile duplicate posts (gallery-dl→native unify)
An artist first downloaded by gallery-dl gets Post rows keyed by the per-
attachment id; a later native walk keys the SAME real post by the post id. They
never dedup (uq_post_source_external_id is on external_post_id) → duplicate post
rows (cheunart: 943→1109). The real post id is recoverable in-DB from
raw_metadata['post_id'] (both eras store the sidecar there).
reconcile_duplicate_posts (cleanup_service): group posts by (source_id, canonical
post_id = raw_metadata.post_id else external_post_id); for each group >1, keep the
row already keyed by the post id (the format the CURRENT native downloader
produces, so future walks dedup and this can't recur), re-point
ImageRecord.primary_post_id / ImageProvenance / PostAttachment / ExternalLink onto
it conflict-safe (drop the loser's row where the keeper already has the equivalent,
per each table's uniqueness), backfill the keeper's empty date/title/body/raw_meta
from a loser, set external_post_id=post_id + derive post_url, delete losers.
IMAGES ARE NOT TOUCHED (content-addressed/deduped already; operator-confirmed).
Preview/apply share find_duplicate_post_groups (rule 93). API
/api/admin/posts/reconcile-duplicates (dry_run→{groups,posts_to_merge,sample};
apply→{groups,merged,sample}; optional source_id). UI: a second section on
PostMaintenanceCard (preview groups+sample → confirm merge). Tests: merge +
metadata backfill + image move, no-op when unique, provenance-collision dedup.
Design: milestone #73. Forensics: note #917. Out of scope (flagged): cheunart vs
Cheunart case-variant artist dirs/rows.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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bvandeusen
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7f6345dccf |
fix(subscribestar): port gallery-dl date extraction (wrapped dates) + parse canary
Image posts wrap the post date in an <a> permalink (<div class="post-date"><a href="/posts/ID">DATE</a></div>); text-only posts don't. Our hand-written <div class="post-date">([^<]+)</div> regex matched ONLY the unwrapped case, so every image post got a null published_at and sorted to the top of the feed looking broken (cheunart 2026-06-17). Port gallery-dl's _data_from_post method: text up to the first </, then after the last > — handles both. Verified against the live raw feed (all 6 dates now parse). Robust logging (operator request): _parse_posts now logs per-page parse stats (posts / dated / with-body) and a WARNING canary when posts parse but NONE get a date or body while the raw markers are present — i.e. our extraction diverged from the live markup. Makes this failure class diagnosable from the worker log alone, no authed re-fetch needed. Test: a permalink-wrapped date parses to ISO. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> |
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bvandeusen
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976f581aa2 |
feat(subscribestar): port gallery-dl doc + audio attachment extraction
Some SubscribeStar posts deliver content only through document/audio attachments, which live OUTSIDE data-gallery. Port gallery-dl's _media_from_post for them: - docs: scope uploads-docs..post-edit_form, split on doc_preview blocks, take the href URL + doc_preview-title + data-upload-id (kind=attachment). - audio: scope uploads-audios..post-edit_form, split on audio_preview-data blocks, take the src URL + audio_preview-title + data-upload-id (kind=audio). The existing downloader handles them unchanged (plain streaming GET; the file validator only inspects image/video extensions via is_validatable, so PDFs/zips/ audio pass straight through, no quarantine). Test covers doc + audio extraction (the cheunart sample has none, so this pins gallery-dl's documented markup shape). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> |
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bvandeusen
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8771364cee |
fix(subscribestar): port gallery-dl's content + preview-skip extraction faithfully
Body rendered as a bogus '264 / 265' on every post: our balanced-</div> body regex either returned empty or over-captured into sibling upload divs and the 'View next posts (N / M)' pagination counter. Replace it with gallery-dl's exact _data_from_post rule — content between the post_content-text wrapper and the youtube-uploads div (literal markers), then strip the trix editor's <html><body>…</body></html> document wrapper to its inner. Verified against the live cheunart sample: clean per-post bodies, empty for genuinely text-less posts. Also port gallery-dl's _media_from_post preview guard: skip gallery items whose URL is under /previews (locked/blurred teasers) — the SubscribeStar analog of the Patreon gated-preview bug (#874); this is why a locked post yields no media. Tests: body must not bleed into the pagination counter; trix html-document wrapper stripped; /previews items skipped. Fixture now includes the youtube- uploads close marker present in real markup. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> |
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bvandeusen
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559d29fe1c |
fix(subscribestar): mirror gallery-dl's full request profile (verify_subscriber gate)
After the delimiter fix, the live cheunart fetch 302'd to /cheunart/verify_ subscriber even with valid .adult cookies (confirmed present: _personalization_id + _subscribestar_session on .subscribestar.adult, logged in). Walking gallery-dl's ENTIRE flow — including the base Extractor._init_session I'd not read — the divergence is the HTTP request profile, not the cookies or parser. gallery-dl's default (cookies-only) mode sends, on EVERY request including the first creator-page GET: a Firefox UA, Accept: */*, Accept-Language, and a same- site Referer (root/), with NO X-Requested-With anywhere (the load-more endpoint is a plain GET parsed as JSON). Our Chrome UA + missing Referer + XHR toggling looked unlike a browser → SubscribeStar gated the adult-creator page. Make our SubscribeStar session identical: Firefox UA + Accept */* + Accept- Language via make_session extra_headers; stamp Referer=<base>/ per walk; drop the per-request XHR headers (both feed and load-more now use the shared profile). Test updated to assert the gallery-dl-parity profile instead of the old navigation-vs-XHR split. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> |
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bvandeusen
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204d341a99 |
fix(subscribestar): match gallery-dl's generic post delimiter (live-feed drift)
The native client split the feed on `<div class="post is-shown`, but `is-shown` is added by SubscribeStar's infinite-scroll JS when a post scrolls into view — present in a browser-SAVED page (what the Step-0 characterization used) but ABSENT from the raw server HTML we and gallery-dl actually fetch. So the live feed (cheunart) parsed to zero posts and raised a false SubscribeStarDriftError. Align with gallery-dl's proven `_pagination`: split on the generic `<div class="post ` (trailing space rules out the hyphenated post-content/ post-date/post-body siblings). Also mirror gallery-dl's redirect-based gating detection (/verify_subscriber, /age_confirmation_warning => auth, not drift). Regression tests: raw server markup without is-shown now parses; an age-wall redirect raises SubscribeStarAuthError. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> |
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bvandeusen
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78a3977f8a |
fix(subscribestar): initial feed GET is a navigation, not XHR (first-run drift)
First live run (cheunart) tripped the drift guard: "no posts and no recognizable feed container". The browser-saved page was normal (6 posts + posts_container-list), so the parser was fine — our live HTTP fetch got a different response. Cause: the client set X-Requested-With: XMLHttpRequest (+ a JSON Accept) session-wide, so the initial creator-page GET was sent as an XHR. SubscribeStar (Rails) content- negotiates an XHR full-page request to a non-HTML body → no container → drift. Fix: the session now uses browser-like navigation headers (Accept: html, NO X-Requested-With); the XHR header + JSON Accept are applied PER-REQUEST only on the "load more" endpoint (which is a genuine XHR). Drift message now reports the response length + a JSON hint so a recurrence is self-explaining. Regression test pins the header split (navigation initial GET, XHR load-more). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> |
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bvandeusen
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d8d8ecd78f |
feat(subscribestar): flip dispatch to the native ingester (#893, Step 5)
SubscribeStar now downloads + verifies through the native core ingester instead of gallery-dl — the go-live switch for milestone #71. - download_backends: subscribestar added to NATIVE_INGESTER_PLATFORMS; a _NATIVE_INGESTERS registry + _resolve_native_campaign_id make _run_native_ingester / preview_source / verify_source_credential platform-aware. SubscribeStar's campaign_id IS the creator URL (no resolver); Patreon still resolves the vanity. preview now catches the shared NativeIngestError (covers both platforms). - platform_lock: subscribestar serialized (one paced walk at a time). - gallery_dl: subscribestar entry removed from PLATFORM_DEFAULTS (rule 22 — no fallback once native works). - frontend SourceActions: isPatreon → isNative (patreon|subscribestar) so the recover/recapture actions show for subscribestar; download_service's cursor/mode/post_first + the preview endpoint already key on uses_native_ingester, so backfill/recovery/recapture/preview light up for free. - tests: download_backends (subscribestar native), platform_lock (serialized), and three gallery-dl-sample tests repointed to hentaifoundry (api_credentials verify, gallery_dl_service skip-value, api_sources arm-no-preflight). post_is_gated stays best-effort (can't cause junk downloads); not gating this. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> |
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bvandeusen
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7ac5c7e522 |
refactor(native-ingest): extract native_ingest_common + BaseNativeDownloader (#899 DRY 1/3)
DRY pass commit 1 (process #594). Consolidate the helpers + download plumbing the Patreon and SubscribeStar adapters had duplicated (SubscribeStar was importing patreon privates — wrong owner). New backend/app/services/ native_ingest_common.py is the neutral home for: - make_session (was _load_session ×2), retry_after_seconds + 429 constants, sanitize_segment, basename_from_url, post_dir_name, MediaOutcome / PostRecordOutcome. - BaseNativeDownloader: the shared streaming GET (transient-retry + Range-resume) and validation/quarantine. Patreon + SubscribeStar downloaders now subclass it; each keeps only what differs (Patreon's Mux/yt-dlp video branch + detail-fetch enrichment; SubscribeStar nothing extra). Behavior preserved exactly; the divergence-bug risk (a fix to one _fetch_to_file not reaching the other) is gone. - Folds in #899 L2: a quarantine now log.warning's path+reason (was counted only). post_dir_name merges both date handlers (accepts trailing-Z and pre-parsed ISO). Tests repointed to the single source at every consumer (rule 93 / §8b parity): patreon_client/downloader, subscribestar_native. Exception-trio consolidation + base _failure_result (2/3) and the remaining ingest_core logging (3/3) follow. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> |
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bvandeusen
|
817a002c2b |
feat(subscribestar): native client + downloader + ingester (post-first) (#890/#891/#892)
Phase-1 steps 2-4 of moving SubscribeStar off gallery-dl onto the native core
ingester. SubscribeStar has no JSON:API, so the client scrapes HTML; the
platform-agnostic core (ingest_core) is unchanged.
- subscribestar_client.py: HTML-scrape read path. iter_posts pages via the
creator page → infinite_scroll-next_page href → JSON {html} fragments
(campaign_id = creator URL; no resolver). extract_media reads the per-post
data-gallery JSON manifest (id/original_filename/type/url). post_record_key,
post_meta, and post_is_gated (best-effort locked-teaser marker, pending a live
locked sample). Loud auth/drift taxonomy (SubscribeStar{API,Auth,Drift}Error).
Parser validated against the real Step-0 fixtures.
- subscribestar_downloader.py: mirrors PatreonDownloader minus the Mux/yt-dlp
branch (SubscribeStar serves files directly via /post_uploads). gallery-dl
on-disk layout so existing downloads dedup on disk at cutover. Post-first:
_post.json owns the body/links; per-media sidecar carries image identity only.
- subscribestar_ingester.py: thin adapter wiring client/downloader/the
SubscribeStar ledgers into the core; ledger_key = filehash else
post_id:media_id; SubscribeStar failure mapping. verify_subscribestar_credential.
- tests: client parsing/pagination/media/gating/record-key/dates, downloader
layout/sidecar/post-record/skip-seen, ingester ledger_key + failure mapping.
Not yet wired into dispatch (Step 5) — these modules are inert until then.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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bvandeusen
|
ee1b45f8cc |
test(external): fix third fake_fetch stub still requiring timeout=
test_downloaded_archive_gets_provenance_and_tagging's fake_fetch still had the old `*, timeout` signature; the task now calls fetch_external() without it, so the stub raised TypeError in the integration lane (run 1191). Switch it to **kwargs like the other two. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> |
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bvandeusen
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4272a19d40 |
fix(external): split fetch timeout into read (60s) + total (30m) budgets (#883)
The single _FETCH_TIMEOUT=3000s meant different things per host: a TOTAL wall-clock for mega (subprocess), but only a per-read socket timeout for HTTP hosts (requests' timeout is the idle gap between bytes, never a total). So a stalled HTTP connection tied up a download-worker slot AND the per-host serialize lock for ~50 min before failing (operator-flagged 2026-06-17). Split into two limits in external_fetch: - read timeout (_READ_TIMEOUT=60s, with _CONNECT_TIMEOUT=30s) → requests gets (connect, read); a stalled socket now fails in ~60s. - total budget (_TOTAL_TIMEOUT=30min) → enforced as a wall-clock deadline across chunks in _stream_to_file (HTTP has no total-download timeout), and passed as the subprocess total for mega. fetch_external() signature: timeout= → read_timeout=/total_timeout=. gdrive (gdown) self-manages; the celery hard limit is the outer backstop. Also lowered the per-host lock TTL 3600→2400 so a worker that dies holding it can't wedge a host's links much past one fetch's budget. Each external link is already one Celery task (sweep enqueues one fetch_external_link.delay per link), so these budgets are per-link. Tests: total-budget-exceeded cleans the .part; HTTP gets (connect, read); mega gets the total. Worker fakes updated to **kwargs. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> |
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bvandeusen
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25e1e098fb |
fix(activity): record external.* TaskRun.queue as download, not default (#883)
celery_signals._queue_for is a hand-maintained mirror of task_routes that stamps TaskRun.queue in the prerun signal. It was missing the backend.app.tasks.external. prefix, so external fetches recorded queue='default' even though celery routes external.* → download and runs them on the download worker. The dashboard's per-queue filters and the per-queue recovery-sweep threshold therefore missed them — the same 'queue column lies default' gap the 2026-06-02 audit fixed for backup/admin/library_audit. Map external.* → download in _queue_for. Composes with the fetch_external_link task-name sweep override (#883), which wins by precedence regardless of the recorded queue. Pinned test asserts the mirror agrees with the actual route. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> |
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bvandeusen
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258c77dfcd |
fix(maint): raise recovery-sweep threshold for fetch_external_link (#883)
External file-host fetches run to a 60-min hard limit (time_limit=3600, per-fetch _FETCH_TIMEOUT=3000s), far longer than the recovery sweep's 5-min default. recover_stalled_task_runs was phantom-flagging healthy in-flight fetches as "RecoverySweep: no completion signal received within 5 min" before the task's own timeout/error handling could surface the real error (operator-flagged: target 414 swept at 6.6min). The sweep already has per-queue/per-task overrides for long tasks, but fetch_external_link was never added and its TaskRun records queue='default' (no queue override) despite external.* routing to download. Add a task-name override of 65 min (time_limit 60 + 5 buffer); task-name precedence makes it robust regardless of the recorded queue. No new internal timeout needed — the existing _FETCH_TIMEOUT + soft_time_limit + except-block log.exception already capture the real failure once the sweep stops preempting. Pinned tests: external-fetch override survives a 10-min row / flags a 70-min row on queue='default'; invariant guard asserts override >= hard time_limit. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> |
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bvandeusen
|
002279e63b |
test(artist-dir): deterministic sha256 in _seed_image (fix flaky uq collision)
test_artist_directory_service._seed_image built sha256 from abs(hash(suffix)) % 10000 — PYTHONHASHSEED-randomized hash() over only 10k buckets, so two suffixes in one test could birthday-collide and violate uq_image_record_sha256. Flaky per process seed: passed on dev (run 1179), failed on main (run 1182) with identical code. Use hashlib.sha256(suffix).hexdigest() for a stable, collision-free digest. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> |
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bvandeusen
|
540151290b |
feat(cleanup): purge misgrabbed gated-post blurred previews (#874 follow-up)
A one-shot Maintenance action to remove the blurred locked-preview images the ingester downloaded from tier-gated Patreon posts before #874. current_user_can_view was never persisted, so the cleanup re-walks each enabled Patreon source (read-only) to re-derive which posts are gated now and the blurred filehashes Patreon serves for them, then matches by CONTENT HASH against stored source_filehash. Because the hash is content-addressed, a real file downloaded when access existed has a different hash and can never match — regained-then-lost-access content is provably spared (operator's hard requirement). NULL source_filehash => unverifiable, kept + reported. On apply: delete matched ImageRecords + files (provenance cascades), clear seen/dead-letter ledger rows for those hashes so the real media re-ingests if access returns, and delete gated posts left bare. Shares one match predicate between preview and apply (rule 93). - cleanup_service: collect_gated_previews + purge_gated_previews - tasks.admin: purge_gated_previews_task (async re-walk bridge, timeboxed) - api.admin: POST /maintenance/purge-gated-previews - GatedPurgeCard.vue in Settings > Maintenance (preview -> confirm -> apply) - tests: collect predicate, hash-match delete/spare/unverifiable, ledger clear, bare-post removal, no-op Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> |