77bfc32b025cda234d77fbe079cf493159f5c12f
360 Commits
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aea2701c28 |
feat(translation): tunable acceptance floor (0.90) + per-post sticky override (#155)
The gate at a fixed 0.80 couldn't catch the real pain: Interpreter (fresh == cached, verified by probe) confidently mis-detects short ASCII English like "... WIP Part 1" as German at 0.86 — above the floor — so it was accepted and a re-translate reproduced it. Confidence alone can't separate the 0.86 collision (genuine German lands there too), and single-word mis-flags sit at a confident 1.0 no floor catches. Two operator-approved levers: - Acceptance floor is now a live Settings value (ImportSettings. translation_min_confidence, default 0.90; surfaced in the Translation card), so it's tunable without a redeploy. _accept takes the threshold as a parameter. - Per-post sticky override (Post.translation_override: auto/force/original). 'force' stores a translation even below the floor (rescue a skipped legit-foreign title); 'original' keeps the original and clears any stored translation (kill a confident mis-flag no floor catches). The sweep honors it on every run and _reset_translations skips 'original', so the choice survives a Re-translate-all. POST /api/posts/<id>/translation-override applies it immediately (translate now when the service is up, else queue for the sweep). UI: PostTranslationControl on the posts-feed card. Migration 0084 (both columns + a CHECK on the override). The feed + provenance serializers expose translation_override. With a stricter floor the rollback finally works: raise it -> Re-translate all -> the 0.86 mis-flags are rejected and restored to the original; force / keep-original handle the residual either way. Tests: gate thresholds against the param (0.86 rejected at 0.90, explicit-floor cases); sweep force/original + re-translate-skips-original; override endpoint (validation, original clears, force queues when disabled, feed exposes it); settings min_confidence default/save/validate. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CgZP9v2otxVJymiYsnVuMy |
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a444cf82d1 |
refactor(tags): unify suggestion source — one canonical DB-tag dropdown, drop dead raw/alias machinery (#154)
Every tag suggestion is a canonical DB tag now (tagging-v2 #114: heads + CCIP score EXISTING concept tags). The pre-heads apparatus for model-predicted tags that didn't exist in the DB — creates_new_tag / raw_name / via_alias, the /suggestions/alias endpoint + add_alias_and_accept, AliasPickerDialog, and the store's aliasAccept/removeAlias — was dead and is removed. The type-to-add dropdown was TWO row sources (server autocomplete + the image's ML suggestions) merged with a dedup that dropped the %-bearing suggestion row when the debounced server hit landed — the operator's "confidence % flickers then vanishes". Now it's ONE list of DB-tag matches, each annotated with the model's confidence (join by canonical_tag_id) when the tag was scored for this image. No dedup, no flicker; picking a suggested tag still records acceptance via TagPanel.findPending. Single per-image fetch: score_image now reports above_threshold per row (computed vs the head's own suggest cut, separate from the inclusion floor), so the rail makes ONE min=0 request and derives the panel (above_threshold) and the dropdown (all, text-filtered) client-side — the two /suggestions calls collapse to one. Manual "Create 'X' as <kind>" (novel typed names) is unchanged; the alias table + tag-side alias admin + auto-apply alias matching are untouched. Tests: gate/serializer assertions updated (above_threshold; dropped dead-field + alias-endpoint checks); frontend spec seeds via the single load and covers the byCategory/aboveByCategory split. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CgZP9v2otxVJymiYsnVuMy |
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ffdbdbaf07 |
feat(translation): 8h sweep + drain button + detection probe (#1376)
Throughput: translate_posts now runs every 8h (was daily) as the steady-state cadence for newly-imported posts, and the Settings "Translate now" button runs it in drain mode (run-until-done, no reset) so one press clears the whole untranslated backlog instead of a single 300-post chunk. The interrupt/backoff re-enqueue now preserves the drain flag so a bulk drain resumes cleanly after an Interpreter restart. Misdetection groundwork: surface the detector's confidence from the Interpreter client (it was in the detectedLanguage payload but discarded) and add a read-only "Test translation" box — POST /settings/translation/ probe + TranslationCard UI — that shows detected language + confidence + engine + result for pasted text, without saving. Lets the operator see why a short/abbreviation-heavy English title gets mis-detected so the detection guard (min-length + confidence floor) can be tuned from real numbers. The guard itself follows once the mis-detected cases are probed. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CgZP9v2otxVJymiYsnVuMy |
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9eae636047 |
feat(translation): pooled Interpreter session + manual sweep resumes after drain
- interpreter_client: shared requests.Session with a connect-only retry (connect=2, no status retries — we map 429/5xx ourselves) so a proxy reload is smoothed and the keep-alive connection is pooled across the sweep. - translate_posts: on an interrupt (drain), re-enqueue after the Retry-After hint / default backoff instead of waiting for the daily beat; self-terminates via the health gate. Steady-state one-chunk-per-run on success is unchanged. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> |
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f8105046dc |
feat(explore): exclude WIP-tagged work from the Explore rabbit-hole
Explore's neighbour grid (/api/gallery/similar → gallery_service.similar) now takes an Explore-only exclude_wip flag that drops `wip` system-tagged images from the candidates, alongside the banner/editor presentation tags. The gallery's own "similar" button is unchanged (keeps wip, #1274) — only the Explore store passes exclude_wip=1. The anchor itself may still be a WIP; only neighbours are filtered. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> |
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d631ed023c |
style(translation): use datetime.UTC alias (ruff UP017)
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> |
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c64261593d |
feat(ops): graceful shutdown — worker stop-grace + Interpreter drain resilience
Deploys (docker SIGTERM→SIGKILL, default 10s) were killing Celery jobs mid-flight. Give in-flight work room to drain and make interrupted work resume cleanly instead of stalling. - docker-compose.yml: stop_grace_period per lane (web 30s / worker 90s / scheduler 60s / maintenance-long 180s / ml-worker 120s) so warm shutdown can actually drain before SIGKILL. - celery_app.py: task_reject_on_worker_lost=True — a task killed past the grace window is re-queued (safe: idempotent + chunked, recovery sweeps re-drive stragglers). - interpreter_client.py: map 429/5xx (502/503/504) → InterpreterUnavailable and parse Retry-After (delta-seconds or HTTP-date); a draining Interpreter behind a reverse proxy no longer raises an opaque HTTPError. - translation.py: thread retry_after out of _translate_batch; retranslate_posts resumes after the Retry-After hint (or 60s default, capped 900s) on an interrupt with _reset_done=True, self-terminating via the health gate. - tests: 429/5xx mapping + Retry-After parse; interrupt-resume + default backoff. No migration. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> |
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ead60978e3 |
feat(translation): expose translated fields in post feed + provenance payloads (#143 step 4)
post_feed_service (card + detail) and provenance_service._post_dict now include post_title_translated, description_translated (card-truncated / detail-uncapped) and translated_source_lang, keeping the originals for the toggle. Feed serialization test. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM |
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7f8073c4c8 |
feat(translation): Interpreter client — batch translate + health (#143 step 2)
services/interpreter_client.py: sync (requests) client for the LibreTranslate- compatible /v1/translate — no new dep, mirrors the platform clients. translate() maps translatedText[]↔texts (order + length), returns detected_lang + engine_version (aggregate = first item, fine for a per-post [title, description] batch); passthrough items come back unchanged in their slot. InterpreterUnavailable on 503 / connection error (retry later), InterpreterBadRequest on 400. health() checks /v1/health engines.llm. 10 unit tests with mocked HTTP. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM |
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eedf8d109a |
feat(ml): presentation-chrome auto-hide sweep + hard-skip + conflict flagging (#141 step 4)
presentation_auto_apply_sweep fires banner/editor-screenshot heads at the FLAT presentation threshold (source=presentation_auto). Two guards: (1) hard-skip any image already carrying a human/confirmed content tag — you valued it, so the model can't bury it; (2) if an auto-hide ALSO scores >= presentation_conflict_threshold on a content head, hide it but record a PresentationReview row (conflict tag + score) for the Hidden view. _auto_apply_heads now excludes system tags, so a graduated wip/banner can't fire via the content path (and wip never auto-applies at all). presentation_auto added to _AUTO_SOURCES so auto-hidden chrome never self-trains. Tests: applies, hard-skip valued, conflict-flag, disabled no-op, ignores wip, content-path excludes system. Settings UI + scheduling land next. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM |
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e86b91dfe2 |
feat(gallery): default-hide presentation chrome (banner/editor screenshot) (#141 step 1)
The default gallery + facets now implicitly exclude images carrying a presentation system tag (banner / editor screenshot), reusing the tag-scope EXISTS machinery. Suppressed when the operator explicitly filters FOR a presentation tag OR passes include_hidden (the Hidden view — step 2). `wip` is NOT hidden (real, in-progress art). include_hidden threaded through scroll/timeline/jump_cursor/facets + the gallery API _parse_filters. Test covers default-hide, include_hidden, explicit-filter-shows, and wip-stays-visible. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM |
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18bb25f140 |
fix: ruff C416 (dict() over comprehension) + frontend test playlistIds rename
- heads.py: conf_map = dict(conf) instead of a dict comprehension (ruff C416). - postCard.spec.js: the modal-playlist rename (postImageIds→playlistIds) missed this frontend test (grep was src-only); update the expected call args. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM |
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bae077e323 |
feat(ml): CCIP references exclude unconfirmed auto character tags + confirm trips detectors (m139)
Completes "no self-training": unconfirmed auto-applied character tags no longer seed CCIP references — character_references + the prototype builder (_current_fingerprints/_rebuild_one) gain a shared _positive_char_tag filter (human-applied OR operator-confirmed), mirroring the head-positive exclusion. Confirming a tag also has to move the change-detectors, or an incremental refresh/Retrain right after a confirm wouldn't fold the tag in (only the nightly full pass would): the CCIP global gate now counts character confirmations, and the head training fingerprint counts confirmations. Test for the CCIP path. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM |
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775941609d |
feat(ui): confirm/keep auto-applied tags (milestone 139)
Auto-applied tags are provisional (they don't train the model + can be retracted until confirmed), so surface and confirm them: - Backend: list_for_image + get_image_with_tags now include `source` + a `confirmed` flag on each applied tag (via serialize_tag, image-scoped; defaulted for autocomplete/directory callers). - Frontend: TagChip badges an unconfirmed auto-tag with an "auto" pill + a one-click Keep/confirm (✓) → POST /images/<id>/tags/<id>/confirm, which promotes it to a training positive and shields it from the retraction sweep; TagPanel reloads so the badge + button drop once confirmed. Contract test for the source/confirmed payload. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM |
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2d44a26bdf |
feat(ml): auto-applied tags don't train a head unless confirmed (milestone 139)
Makes auto-apply truly "soft" for heads: _ids_with_tag (head positives) and _eligible_tag_ids (graduation count) now count human-applied + operator-confirmed tags only, via a shared _AUTO_SOURCES (head_auto/ccip_auto/ml_auto) exclusion. Unconfirmed auto-applied tags no longer train the head that judges them, so a misfire can't reinforce itself and the retraction sweep can actually drop it. Confirming a tag (TagPositiveConfirmation) promotes it to a positive AND protects it from retraction. sklearn-free tests. CCIP reference exclusion is the companion piece, next. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM |
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3006e84cc0 |
feat(ml): soft auto-apply — retract auto-tags now below threshold (milestone 139)
Daily scheduled_retract_auto_tags re-scores standing auto-applied tags and drops the ones the model no longer supports: - retract_auto_applied_heads: per graduated head, re-score its source='head_auto' images (bounded — only the images already carrying the auto-tag, not the whole library) and remove ones now < auto_apply_threshold. - retract_auto_applied_ccip: per source='ccip_auto' character tag, max-cosine the image's figure vectors vs that character's prototypes; remove ones now below the ccip auto-apply threshold. Both SKIP operator-confirmed tags (TagPositiveConfirmation) and are SILENT — a low score isn't proof the tag was wrong, so no hard negative is recorded (that's reserved for an operator removal). No-op unless the relevant auto-apply switch is on. New daily beat. sklearn-free tests for both paths + the disabled no-op. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM |
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2cfbb284d5 |
feat(heads): incremental retraining — refit only changed tags (#1317 phase 2, m138)
train_all_heads is now incremental by default: a per-tag training-data fingerprint (positive + rejection count/latest-timestamp, stored on tag_head.train_fingerprint) means a manual Retrain refits ONLY the tags whose data changed — O(what you touched), not O(all heads). The nightly scheduled_train_heads passes full=True to reconcile sampled-negative + hygiene drift across every head. First incremental run after deploy still refits everyone (NULL fingerprints), stamping them, then it's incremental. The refit decision + fingerprint are split into sklearn-free helpers (_head_fingerprints, _heads_needing_retrain) so the incremental logic is unit-tested directly (train_head itself needs scikit-learn). Migration 0080. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM |
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a94f6a2789 |
feat(ccip): matcher reads the incremental prototype store (#1317, m138 step 4)
match_image now sources character references from character_prototype via a per-character in-process cache (_load_prototypes) that reloads ONLY the characters whose ccip_prototype_state.updated_at advanced — no request-path rebuild, so the per-accept ~4s stall is gone once the store is populated. Cold start (store empty pre-first-refresh) falls back to the legacy on-the-fly reference build, so character suggestions work immediately post-deploy and the background refresh populates the store within ~15 min. Match math + grounding are unchanged; existing tests exercise the legacy fallback, and a new test covers matching from the populated prototype store. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM |
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9504870c9a |
feat(ccip): incremental character-prototype builder (#1317, m138 step 2)
refresh_character_prototypes (sync, celery ml worker): - Cheap GLOBAL gate (a few COUNTs) → no-op when nothing that affects references changed since the last refresh (the operator's "only recompute if something was tagged" trigger). - Else a per-character fingerprint diff (one GROUP BY: ref count + max region id) rebuilds ONLY the characters whose references moved — each capped to MLSettings.ccip_prototype_cap — and drops characters that lost all refs. Cost scales with WHAT changed, not library size. Reuses ccip's reference predicate (single-character, non-hygiene, figure CCIP) so prototypes match the legacy matcher exactly. The async matcher (next step) will READ the table. Tests: gate no-op when idle, only-changed-character rebuild, capping, single-character exclusion, lost-reference cleanup. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM |
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8f6547f8d7 |
refactor(subscriptions): remove the dead backfill dry-run preview (#1281)
PreviewDialog.vue was orphaned — nothing mounted it — so the dry-run preview was unreachable. Rather than wire it up, remove the whole chain: its unique value (a capped 3-page count of what a backfill would grab) is low, and its adjacent needs are already covered — auth validation by verify_source_credential, and actually fetching recent posts by "Check now". Operator decision 2026-07-06. Removed: - frontend: PreviewDialog.vue + sources store previewSource() - backend: POST /api/sources/<id>/preview route, download_backends.preview_source, IngestCore.preview() + its now-unused NativeIngestError import - tests: the 3 ingester preview tests Nothing else referenced the chain (verified). Shared campaign-resolution and ledger helpers stay — they're used by run()/verify_source_credential. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM |
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9bb4211722 |
feat(ui): hover an applied tag chip → highlight its grounding crop (#133 step 4)
Applied tags aren't scored live, so compute the grounding on demand: run the
tag's head over the image's max-over-bag (whole-image + concept crops), argmax
→ the region that best explains the tag on this image, mirroring what
score_image records for live suggestions.
- heads.py: extract _image_bag (now shared by score_image) + ground_applied_tag.
Returns (grounding, has_head): has_head False = no head to localize with →
no overlay; grounding None = the whole-image vector won → whole-image frame.
- tags.py: GET /api/images/<id>/tags/<id>/grounding → {grounding, has_head}.
- TagChip/TagPanel: applied chips inject fcSuggestionHover and fetch grounding
on hover (cached per image+tag, race-guarded), reusing Step 3's overlay in
both the modal and Explore. No new frontend overlay code.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
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dfe2fda564 |
feat(ml): CCIP character matches ground to the matched figure region (#133 step 2)
match_image now tracks WHICH query figure produced the winning cosine per
character (argmax over the per-figure best-reference sim) and attaches its bbox as
grounding {bbox,kind:'figure',detector}. SuggestionService carries it: a CCIP-only
character hit grounds to its figure; a 'both' hit keeps the head's localized crop
if it had one, else falls back to the CCIP figure — so corroborated characters
stay grounded. Test: a character match carries the matched figure's bbox+kind.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
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409724b981 |
feat(ml): argmax grounding in score_image → suggestions carry the winning crop (#133 step 1)
score_image now keeps the ARGMAX beside the max-over-bag: which bag row won each
head. The region query also selects bbox/kind/detector_version, a parallel
bag_meta maps each row → its region (None for the whole-image vector), and every
hit gains grounding {bbox,kind,detector} (null when the global vector won). Threaded
through SuggestionService (new Suggestion.grounding field) → /api/.../suggestions
payload. This is the data the #1206 hover-overlay draws. CCIP-only hits ground null
for now (figure grounding = step 2). Tests: winning crop grounds the tag with its
bbox+kind; whole-image win → grounding None.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
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0963bf0db3 |
feat(artist): resolve patreon + subscribestar display names at add-time (#130 step 5)
Parity with pixiv (operator ask): the extension add now resolves the real display name for our other native platforms too, not just the URL handle. patreon_resolver.resolve_display_name reads the campaigns API's attributes.name; SubscribeStarClient.resolve_display_name pulls the creator name off the profile page (og:title, else the <title> stripped of the SubscribeStar suffix). extension_service._resolve_artist_name dispatches per platform (pixiv=token, patreon/subscribestar=cookies via get_cookies_path), best-effort in an executor, falling back to the readable URL handle on any failure. Still all curator core — the extension is unchanged (sends only the URL). gallery-dl platforms keep the handle (readable, no native client). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM |
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0c4b8aef8c |
feat(artist): pixiv display-name at add-time + identity-by-source (#130 steps 2+3)
Final piece of the artist decoupling. (1) Identity-by-source: quick_add_source resolves the artist by an existing (platform, url) Source first, so a re-add reuses the artist even after it was renamed (its frozen slug no longer matches the name) — a slug-based lookup would have duplicated it. (2) Pixiv naming: a new pixiv source resolves the real display name via the app API (PixivClient .resolve_display_name → /v1/user/detail) using the stored token, so the artist is 'Kurotsuchi Machi' not '12345678' — and its name-derived slug matches what a native download produces, unifying them. Falls back to the numeric id when no token/crypto. ExtensionService gains the crypto seam; the endpoint passes it. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM |
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a69bd1baa8 |
feat(artist): move a source into another artist (#130 step 4)
Operator ask: a surface to merge new sources into existing artists (consolidate the singleton artist a fresh add spins up). Enabled by the #130 slug decoupling — the storage path is immutable, so re-attribution moves NO files. SourceService .reassign moves the source, re-points its posts (Post.source_id==S) and the images it contributed (ImageProvenance via S, scoped to the old artist so shared images aren't stolen), and deletes the old artist if it's left fully empty (else clears its subscription flag). POST /api/sources/<id>/reassign. Frontend: a 'Move…' action per source on the artist Management tab → artist-autocomplete picker → confirm → routes to the target (whose slug is stable). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM |
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87d53db0cb |
feat(artist): editable display name + rename surface; drop name-uniqueness (#130 step 1)
First step of decoupling artist identity/storage/display. migration 0077 drops uq_artist_name so the display name is free text (two genuinely different creators can share a name); the slug stays the immutable, unique storage/identity key (the on-disk path component — untouched, so nothing moves). ArtistService.rename + PATCH /api/artists/<id> change the name ONLY. Frontend: inline pencil-edit on the artist header (mirrors TagCard), slug/route unaffected so no navigation. Fixes the operator's 'no surface to rename an artist' + the name-collision fragility. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM |
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8838b325fb |
fix(recapture): link on-disk images to their post (#1288)
Recapture disk-skips already-downloaded media, and upsert_post_record only writes Post fields — so a pre-existing image (e.g. one pulled under the old gallery-dl path, imported bare with no post) stays orphaned even after its post record is (re)written. Confirmed on the operator's instance: 329 pixiv images with primary_post_id NULL, 694 pixiv posts with content but no linked images, 0 duplicate posts. Fix: the recapture relink channel now carries the media's post_id (2- → 3-tuple path/url/post_id), and phase 3 calls importer.link_existing_image_to_post — match the on-disk image by path, find its Post by (source, external_post_id), upsert image_provenance + primary_post_id. Factored the provenance-linking out of _apply_sidecar into a shared _attach_provenance so the fresh-import and recapture-backlink paths can't diverge. Idempotent; generic across native platforms (no-op for already-linked Patreon/SubscribeStar). Re-running recapture now repairs orphaned images; future walks never orphan. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM |
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437bf4d37a |
feat(suggestions): group wip/banner/editor under a separate 'system' category
System tags are kind=general, so their suggestions previously landed in the General group. Give them their own 'system' suggestion category so the operator reviews them apart from content tags: _current_heads maps is_system heads to category 'system' (still trained as general heads, still gated by the 0.65 floor). Frontend: CATEGORY_ORDER/LABELS gain 'system'; SuggestionsPanel renders a 'System' group first (small, collapsible, open — false positives easy to spot and reject); the typed-dropdown shows the shield icon for system entries. Safe: system-tag suggestions always carry a canonical_tag_id, so the create-by-kind path (which would send 'system' as a TagKind) is never hit. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM |
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f33808b977 |
fix(pixiv): capture ugoira frame timings in the post record (ordering bug)
The core writes the post record BEFORE extract_media, but the ugoira frame delays were only memoized DURING extract_media — so write_post_record never saw them and ugoira_frames was always empty in the record. Extract a memoized _ugoira_meta (frames + zip url share ONE /v1/ugoira/metadata call regardless of order) and inject client.fetch_ugoira_frames into the downloader (mirrors Patreon's content_fetcher) so write_post_record populates the frames itself. Zero extra API calls — the fetch is shared/memoized with extract_media. A recapture now backfills the timings onto existing ugoira posts. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM |
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6c6e8bdb6d |
feat(heads): surface system-tag suggestions at a flat 0.65 confidence floor
System tags (wip/banner/editor) already get heads (kind=general) and aren't filtered from suggestions, but they surfaced only at each head's precision-tuned suggest_threshold — high enough to hide the borderline/false-positive guesses the operator wants to SEE and REJECT (hard-negative mining: 'negatively reinforce what isn't a system tag'). score_image now uses a flat _SYSTEM_TAG_SUGGEST_FLOOR (0.65, operator-set) for system-tag heads instead of their auto threshold; content-tag heads keep their own, and the typed-dropdown threshold_override still overrides everything. _current_heads carries Tag.is_system into the head meta to drive it. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM |
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c9696a2faf |
fix(subscribestar): route .art creators to .adult; clear source failure on disable
Two pre-merge fixes: 1. SubscribeStar .art age wall: the 18+ cookie doesn't clear the age gate on the .art domain (keeps 302'ing to /age_confirmation_warning even with the cookie — Elasid #54116), but the same creator is reachable on .adult where the cookie works. _normalize_ss_host rewrites subscribestar.art → subscribestar.adult at request time (stored Source.url untouched), logged so it's visible in walk logs. .com/.adult pass through. 2. Disabling a source now clears its failure state (last_error, error_type, consecutive_failures) so subs you pause (not paying for) stop lingering as 'failing'. Only the explicit disable clears — an unrelated edit to an already-disabled source leaves state alone. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM |
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544e30bfb9 |
fix(pixiv): match gallery-dl's exact on-disk filename to avoid re-download at cutover
The native downloader used the Windows-safe sanitize_segment, but gallery-dl on Linux (path-restrict auto→'/', path-remove default control chars, path-strip auto→'') replaces ONLY '/' and deletes control chars — the Windows-forbidden set (<>:"|?*) and trailing dots/spaces stay RAW in on-disk titles. Any pixiv title with those chars would therefore miss the tier-2 disk-skip and re-download the whole work at cutover (seen-ledger starts empty). Replace sanitize_segment with gdl_clean_filename, a byte-exact mirror of gallery-dl 1.32.5 build_filename (verified against path.py). Directory + template already matched; this closes the last parity gap. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM |
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0bbcdee3bd |
feat(pixiv): flip dispatch to the native ingester (#129 step 4)
pixiv joins NATIVE_INGESTER_PLATFORMS: download/verify/preview and the recover/recapture UI actions now route through PixivIngester. Campaign id is parsed straight from the source URL (numeric user id — no network resolver), with a platform-aware resolution-failure message. auth_token now rides the uniform adapter construction (token platforms use it, cookie platforms accept-and-ignore), and the preview endpoint fetches/threads it. The legacy gallery-dl pixiv path is fully removed (PLATFORM_DEFAULTS entry + the refresh-token config branches in download/verify) per no-legacy policy; gallery-dl keeps hentaifoundry/discord/deviantart until they migrate/retire. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM |
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0563b2d750 |
feat(pixiv): ledger models + migration 0076 + PixivIngester adapter (#129 step 3)
pixiv_seen_media / pixiv_failed_media mirror the Patreon/SubscribeStar ledgers (keys are always synthesized <illust_id>:p<num> / <illust_id>:ugoira — pximg URLs carry no content hash). PixivIngester wires client/downloader/ ledgers into ingest_core with drift label 'Pixiv app API' and the new body_canary=False opt-out: caption-less pixiv artists are common, so the zero-bodies #862 alarm would false-positive here — the client's response-shape drift checks cover that failure class instead. auth_token joins the uniform adapter constructor (pixiv is the first token-auth native platform). verify_pixiv_credential = one OAuth refresh, no feed walk. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM |
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7ef2ecd82f |
feat(pixiv): native downloader — gallery-dl layout parity + enriched post record (#129 step 2)
PixivDownloader writes originals to the exact pre-cutover gallery-dl layout
(<artist_slug>/pixiv/pixiv/{id}_{title[:50]}_{NN}.{ext} — flat, double
platform segment) so tier-2 disk-skip recognizes existing files. Post-first:
per-media sidecar is identity-only; the post record (_post_<id>.json — id
suffix because the flat layout would collide a bare _post.json) carries the
enrichment: tags + EN translations, rating from x_restrict, series,
view/bookmark/comment counts, AI flag, dimensions, author, and ugoira frame
delays (the zip has no timings). i.pximg.net media GETs ride the app-header
profile (403 without the app-api Referer).
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
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86ae396914 |
feat(pixiv): native app-API client — gallery-dl-parity profile, post-first seams (#129 step 1)
PixivClient mirrors gallery-dl 1.32.5's PixivAppAPI request profile exactly (iOS app headers, OAuth refresh with X-Client-Time/X-Client-Hash, /v1/user/illusts pagination via next_url — whose query string doubles as the resumable page cursor). Post-first seams (post_record_key / post_is_gated / post_meta) + extract_media covering multi-page, single-page, ugoira zip (600x600→1920x1080 swap, frame delays memoized for the post record), and limit_* placeholder gating. No PHPSESSID web fallback: FC holds only the refresh token, same effective coverage as the gallery-dl path. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM |
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f77e75147d |
feat(tags): system-tag UI markers + full protection sweep (step 4 of #128)
UI: shield marker + tooltip on TagChip and TagCard; system tags hide rename/merge/delete affordances (chip kebab entirely — set-fandom never applies to their general kind; remove stays, un-tagging is normal use). Aliases stay available: mapping model outputs ONTO a system tag is useful. Directory cards carry is_system. Every destructive path that could take out a system row is now guarded, found by sweeping run 1891s off-by-three failures — each one was a surface that would have eaten the seeded tags: - prune-unused: predicate exempts is_system (they ship with zero applications and matched every unused condition) - reset-content: predicate exempts is_system AND keeps their applications — hygiene flags describe the file, not content tagging - admin tag DELETE: refused with system_tag error - normalize_existing_tags: scan excludes is_system — canonicalization would recase wip -> Wip behind TagService.rename's guard, breaking the name-keyed presentation lookup Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM |
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723f023e6a |
feat(gallery): similar() hides presentation images (banner / editor screenshot)
Step 3 of milestone #128. Presentation-tagged images cluster on UI chrome rather than content, so near any one of them they fill the whole more-like-this grid. Excluded from candidates in the ONE whole-image similarity surface (gallery similar mode, explore walk, and RelatedStrip all ride GalleryService.similar) — the anchor itself may be a banner, and wip stays surfaced: only the training pipelines exclude it. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM |
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e6f128c894 |
feat(ml): training hygiene — system-tagged images are absent from other concepts training
Step 2 of milestone #128. _hygiene_excluded_ids (training_data.py) is the one shared predicate: images carrying any system tag are dropped from every OTHER concepts head training — not positives (a rough wip tagged as a character drags the head toward generic-sketch) and not rejection or sampled negatives (a wip OF character X is not evidence against X). A system tags own head trains on them unfiltered; that is what makes auto-flagging banners work. Selection is split out of train_head as the sklearn-free head_training_ids so CI (no sklearn) can pin the behavior. CCIP: reference prototypes skip hygiene-tagged images — a faceless wip figure region must never become an identity reference — and the ref cache signature now counts hygiene applications, since tagging an image wip changes the reference set without touching character/region counts. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM |
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e9891ee9f3 |
feat(tags): system tags — is_system column, seeded hygiene tags, protection guards
Training hygiene step 1 (milestone #128). Migration 0075 adds tag.is_system and seeds wip / banner / editor screenshot (kind=general), ADOPTING an existing same-(name,kind) tag case-insensitively instead of duplicating. These rows drive the upcoming training exclusions, so they are protected: rename and merge-away refuse system tags (merge-INTO stays allowed — folding an operator's old hygiene tag into the system row is the intended move; merge is the only tag-delete path, so that guard covers deletion). is_system rides every tag serialization. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM |
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b54243a1ff |
fix(subscribestar): inject the 18+ age cookie on every SubscribeStar domain
The cookie was pinned to .subscribestar.adult only; cookies are domain-scoped, so sources on subscribestar.art (Elasid, event #54116) never sent it and every poll 302d to /age_confirmation_warning. Emit one line per domain (.com/.adult/.art) with a per-domain presence check, and admit .art in the platform url_pattern. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM |
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aa12a57f97 |
feat(recovery): surgical re-fetch for deep posts via ExternalLink reset
Operator-flagged: the recovered defective files live DEEP in their artists'
back-catalogues — the normal download cadence (by design, via the seen-gates)
will never re-walk them, so recovery's source re-check alone can't bring them
back. The durable per-post handle is the ExternalLink row, which survives the
image delete:
- services/external_links.refetch_links_for_post: reset settled links to
pending (fresh attempt budget, in-flight left alone) + dispatch their
fetches; sha-dedupe at import discards payload files that still exist, so
only the missing file lands.
- recover_defective_image now captures the image's post ids BEFORE the delete
cascades provenance away and resets those posts' links — future recoveries
are surgical automatically (response gains links_reset; source re-check
stays for gallery-dl-native files within walk reach).
- POST /api/admin/posts/refetch-external {external_post_id, source_id?} — the
manual tool for the three files recovered before this fix existed.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
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5b34c9221c |
feat(ia): wave 1 — Import tab dissolves, Maintenance regroups by system, one extension home
Settings IA per the approved A3 design (the old layout was the two-app merge fossilized): - Import tab retired: ImportTriggerPanel + ImportTaskList deleted (manual /import scans stay API-level; imports arrive via downloads/extension, heal via the Layer-2 auto-refetch sweep, and show in Activity). ImportFiltersForm moves to Maintenance → 'Ingestion & filters' and loads its own settings; the import store shrinks to settings-only (no remaining consumers of the scan/task-list machinery). Overview's pending banner now points at Activity. - Maintenance regrouped: Ingestion & filters / GPU agent & embeddings (GpuAgent, Failed processing, CPU embedding backfill) / Tagging (sliders, Heads, Aliases) / Library health (MissingFiles, Thumbnails, DB, Archive re-extract demoted last) / Storage. - One extension home: BrowserExtensionCard moves from Settings → Overview to Subscriptions → Settings, above the API key bar it authenticates. - Single-color import filter WIRED: skip_single_color/threshold existed since FC-2 but nothing read them (the audit module's docstring said as much) — now enforced on both import paths via the audit's canonical predicate (tolerance 30, matching the Cleanup card default; animated images exempt like the transparency check). Default stays off; test added. - Dead weight: PlaceholderView (zero refs) and the permanently-disabled 'Export failed logs (CSV — v2)' menu stub deleted; stale docs fixed (celery queue docstring, threshold comment citing retired tasks, ml package docstring, HeadsCard 'replaces Camie' blurb). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM |
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19b962f1a7 |
feat(b3): ml-worker becomes optional — embed-only role, decoupled GPU coordination, cpu-embed switch
The ml-worker's ONLY processing role is now the CPU whole-image embed fallback (tag_and_embed renamed embed_image — Camie tagging was retired #1189 and the name kept implying otherwise; videos were already handled agent-style: frame sampling + mean-pool). Detection/cropping/CCIP stay GPU-agent-only, and their completion is judged per-pipeline: ccip by gpu_job rows, siglip by concept regions at the current model version — never by image_record.siglip_embedding. A CPU embed therefore can NEVER close crop work for the agent (regression test pins this; only the whole-image 'embed' job, the same artifact, is satisfied). Making removal actually safe (operator will drop the container): - GPU-queue coordination (enqueue_gpu_backfill, recover_orphaned_gpu_jobs, reprocess_gpu_jobs) moved verbatim to tasks/gpu_queue.py on the maintenance quick lane — it lived on the 'ml' queue only by module colocation, which made the ml-worker a hard dependency of the whole agent pipeline. - New ml_settings.cpu_embed_enabled (migration 0074, default ON so agent-less installs keep working): OFF stops the four import hooks queueing embed work nothing will consume and no-ops the manual backfill; switch lives on the renamed 'CPU embedding backfill' card. - NB heads training / auto-apply still run on the ml image (sklearn) — a stack that removes the container gives those up too. Deploy note: in-flight messages under the old task names are dropped by the new workers; the 60s orphan sweep + hourly backfill re-fire under the new names immediately. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM |
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7c19ad91ed |
feat: cap-aware autoscaler + token-gated whole-instance tag reset (operator feedback)
Autoscaler (agent 2026-07-02.5): the buffer-occupancy signal alone would peg downloaders at DL_MAX while the bandwidth CAP — not concurrency — is the real constraint (8 streams sharing 8 MB/s move no more data than 4). Growth is now gated on the pipe having headroom (net < 85% of cap) and a pipe pinned at the cap (>= 95%) sheds streams down to 3; dead band prevents flapping. The UI hint says 'holding at the bandwidth cap' and /status reports bw_capped, so the behavior is legible without tests that need the ML stack. Reset content tagging: stays a FULL-instance reset (operator's call), but now lives in a fenced 'Danger zone' section on Cleanup and the apply is gated by a preview-derived confirm token (mirrors the Tier-C bulk-delete pattern — stale counts are rejected server-side). Copy no longer claims suggestions repopulate: it says plainly the heads' training examples are deleted and re-tagging starts fresh. Moved out of TagMaintenanceCard into DangerZoneCard. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM |
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eaea4308fc |
chore: retire the tag-eval harness — it proved the heads system, job done (operator-approved)
The head-vs-centroid eval (#1130) existed to prove the 'frozen embedding + trained head' spine; the operator accepted the tagging system and dropped the harness. Removed per rule 22: TagEvalCard + store, /api/tag_eval blueprint, tag_eval_run ml task, recover-stalled-tag-eval-runs sweep + beat entry, TagEvalRun model + table (migration 0073), and its tests. The eval's data loaders + metric helpers were NOT eval-specific — the nightly heads trainer runs on them — so they moved verbatim to services/ml/training_data.py (heads.py import updated; behavior unchanged). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM |
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a7abcc41ca |
feat(triage): failed-processing triage — probe errored files, flag defects, recover (#125 C1-C3)
An errored GPU job's stored reason is a suspicion; the file probe is the
verdict. A 15-min beat sweep (triage_gpu_errors) runs verify_integrity's own
probe (sha256 + decode) on each errored image ONCE and writes both verdicts:
ImageRecord.integrity_status and the new GpuJob.triage_status ('defect' |
'file_ok', migration 0072). Every classification logs at WARNING so it
surfaces in Logs/System Activity.
- 'defect' rows are excluded from /retry_errors (re-running a known-bad file
burns agent time re-minting the tombstone); response now reports
defects_kept and the GpuAgentCard toast says so.
- GET /api/gpu/errors: triage view — reason buckets (classify_reason),
probe verdicts, per-job detail. POST /errors/triage runs the sweep now.
- POST /api/gpu/errors/<id>/recover: reuses the Layer-2 refetch pattern —
delete the defective copy + record (full cascade takes the tombstones too)
and re-poll its subscription Source so a fresh copy re-imports and re-enters
the pipeline; 'no_source' when nothing pollable resolves.
- New 'Failed processing' card (GpuTriageCard) in Maintenance: verdict counts,
reason summary, probe-now, defect list with thumbnails + per-image Recover.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
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1f27189b8f |
chore: retire ml-backfill-daily beat + the spent purge-legacy action (operator-approved)
- ml-backfill-daily: the CPU tag_and_embed backfill raced the GPU agent's daily embed backfill for the same NULL-embedding images at ~100x the cost (B1 audit verdict, milestone #124). The backfill TASK stays — the manual /api/ml/backfill button remains the deliberate CPU fallback pending B3. - purge-legacy: one-time IR-migration cleanup, dry-run verified 0 targets on the live library before removal (A2 audit, milestone #123). Fully retired per rule 22: tile, store action, route, service fn, tests. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM |
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09e2772628 |
fix(gpu-jobs): end the error-tombstone loop — deliberate retry semantics + poison-job guards
The hourly ccip backfill's skip-list lacked 'error' (and the daily
siglip/embed variants re-gated failures on their missing results), so every
permanently-bad file got a fresh doomed job each run — ~24 duplicate error
rows/day per file, the perpetual 'unprocessable' flood. An errored job is now
a TOMBSTONE: no backfill re-enqueues it; retry is deliberate-only via
/retry_errors (an errored back-catalogue needs one button press after a
model swap).
One shared set of dedupe DELETEs (services/ml/gpu_jobs.error_dedupe_statements)
runs before every backfill and inside /retry_errors: error rows made moot by a
later pending/leased/done row go first, then older duplicates (newest reason
survives) — so the error count reads as distinct failing files and a retry
can't fan one file out into duplicate pending jobs. /retry_errors now returns
{requeued, pruned} and the toast shows both.
Poison-loop guards (release and lease-expiry burn no attempts, so a job that
stalls its transfer or crashes the agent every time cycled forever —
operator-observed jobs 99044/125288/131594/143131):
- agent: 3 in-session transient bounces (fetch or submit) → fail with the real
reason instead of another release; strikes never count while stopping, and
clear on submit success. Agent build 2026-07-02.3.
- server: the 60s orphan sweep (statements shared between the beat task and
GpuJobService so they can't drift) converts expired leases with >=5 lease
grants and pending jobs with >=10 to 'error', preserving the last stored
failure reason. Backstops old agent builds.
Tests: tombstone rule across all three backfill variants, moot-row pruning,
poison conversions, and the extended /retry_errors dedupe contract.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
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