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
MLSettings gains presentation_auto_apply_enabled / _threshold (default 0.90) +
presentation_conflict_threshold (default 0.50): banner/editor auto-hide with a
FLAT threshold (decoupled from content-head graduation), plus the "also looks
like content" conflict cut. New presentation_review table (image, presentation
tag, conflict tag + score, created/resolved_at) records auto-hides flagged for
review. Migration 0082 (columns + table), ml_admin API (editable + get_settings
+ _validate bounds), settings roundtrip/bounds test. The sweep that reads these
knobs + the Settings UI land in step 4.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
A Curation-group chip in the facet panel flips include_hidden, threaded through
the gallery filter store (default model, activeFilterParam, applyFilterFromQuery,
cloneFilter, filterToQuery) and counted in the refine badge. Off by default → the
gallery hides banner/editor-screenshot chrome; on → it's revealed. Backend
already honors include_hidden (step 1). The dedicated conflict-flagged review
surface (only the set-aside items) lands in step 5.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
The /similar route splats **filters into similar(), which doesn't take the new
include_hidden kwarg → TypeError → 500 (test_gallery_similar). Drop it like
post_id; similar() has its own presentation exclusion (#1274), so the
gallery-browse flag doesn't apply there.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
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
A character+fandom(+AUTO) chip could exceed the tag-panel width, pushing the
close ✕ off the right edge so the tag couldn't be removed (operator-flagged with
a "Mirko - Rumi Usagiyama → My Hero Academia AUTO" screenshot). Cap the chip at
100% of the rail and make the NAME the elastic part (ellipsis-truncates), so the
✕, fandom, and AUTO badge stay reachable; the full name stays on the hover title.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
The ✓ Keep on a provisional auto-tag chip was a smaller tinted-outline variant;
make it the SAME filled green circle (white ✓, 26px, opacity 0.9→1 + scale on
hover, accent focus ring) as the suggestion accept button (.fc-act--yes in
SuggestionItem) so "accept this tag" reads identically across surfaces
(operator-asked).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
- 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
The confirm-UI change added source + confirmed to serialize_tag; two exact-dict
unit tests in test_tag_query.py failed on the new keys. Add them (default
None/False for rows without image scope).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
The image modal cycled GLOBAL neighbours; now the gallery hands it a snapshot of
the currently-filtered, ordered id list so prev/next moves through exactly what
you're viewing — the filtered-playlist behaviour lost in the ImageRepo→FC move.
Generalized the modal store's post-scoped cycle into a `playlistIds` playlist
reused by both GalleryView and PostCard (falls back to global neighbours when no
playlist is passed, e.g. Explore's "open full viewer").
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
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
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
The keystroke debounce cleared the timer but not an already-fired fetch, so a
slower earlier-prefix response ("s") could land after "sex" and overwrite the
dropdown with wrong-prefix matches (operator-flagged with a "sex"→Stockings/
Super Mario screenshot). Gate each autocomplete response on a useInflightToken
(cancel on every keystroke, isCurrent() after the await) so only the latest
query's results are applied.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
Milestone 139 raised head_auto_apply_precision 0.97→0.98; operator confirmed the
general-tag confidence was already well tuned, so revert that. The support floor
(min_positives 30→50) and CCIP match confidence (0.92→0.95) stay. Migration 0081
(not yet deployed) edited to drop the precision bump.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
Each category section header gets a subtle "Reject rest" action that dismisses
every still-unhandled suggestion in it at once (store.dismissRemaining, parallel
dispatch). Canonical tags persist a rejection and stay flagged (reversible,
one-click un-reject); raw creates-new-tag rows drop client-side. Shows only when
the section has unhandled items. No confirm dialog — it's fully reversible.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
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
The stricter head_auto_apply_min_positives (30→50, migration 0081) dropped the
_head helper's default n_pos=30 below the support floor, so the "supported head"
sweep tests saw the head as ineligible (n_applied 0). Move the default to 60; the
explicit n_pos=5 under-supported test stays correct.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
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
head_auto_apply_precision 0.97→0.98, head_auto_apply_min_positives 30→50,
ccip_auto_apply_threshold 0.92→0.95 (operator-asked). Model defaults change for
fresh installs; migration 0081 bumps the existing singleton row IFF still at the
old default (won't clobber a deliberate operator change). ml_admin bounds already
permit these. Fixed a stale comment in the auto-apply test.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
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
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
- refresh_character_prototypes celery task wraps the incremental builder (sync
ml worker); returns skipped / rebuilt=N removed=N.
- Beat: every ~15 min (cheap global-gate no-op when idle) + a nightly full=True
reconcile as belt-and-suspenders.
- train_heads enqueues it on success, so the Retrain button AND the nightly head
retrain refresh CCIP on the SAME trigger — unified lifecycle, as asked.
The initial (cold) full build loads the whole reference set once in the
background, never on a /suggestions request.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
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
Foundation for making CCIP character references a precomputed, INCREMENTAL
artifact instead of a request-path rebuild (kills the per-accept ~4s suggestions
stall; cost will scale with change, not library size):
- character_prototype: a character's reference CCIP vectors, capped to
MLSettings.ccip_prototype_cap so match cost doesn't grow with popularity.
- ccip_prototype_state: per-character fingerprint (ref count + max region id) +
updated_at → drives per-character incremental rebuilds and the matcher cache's
reload-only-what-advanced.
- MLSettings.ccip_ref_signature (cheap global change gate) + ccip_prototype_cap.
Migration 0079. Schema + models only — the builder service, refresh task/beat,
and matcher rewrite land in the following steps.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
- TagAutocomplete: focus the inner input with preventScroll so handing focus
back after an accept/reject stops yanking the rail up to the field (which sits
above the suggestions list — you had to scroll back down every time). Applies
to both the image modal and the Explore rail.
- ExploreView: pad the right rail's scroll bottom (88px) so the bottom-right
snackbar floats over empty space instead of covering the last suggestions and
their accept/reject controls.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
The overlay label showed only the crop origin (booru:head / panel / person-m).
Put the hovered TAG on top as the headline and demote the crop origin to a small,
dimmed, monospace subline — the tag is what you're evaluating; the origin is just
provenance. Threads the tag name through the fcSuggestionHover payload ({g, tag})
from both setters (SuggestionItem for suggestions, TagChip for applied chips).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
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
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
The payoff: hover a suggestion in the rail and the exact crop that produced it
lights up on the image (a booru:head, a panel, a figure); a null-grounding tag
shows a subtle dashed whole-image frame ('global vector won, not a crop').
ImageCanvas gains a grounding overlay that tracks the <img>'s live bounding rect
(correct under object-fit letterboxing + pan/zoom) and draws the normalized bbox
+ a detector/kind label. SuggestionItem sets the hovered grounding via
provide/inject (no 4-level event relay through TagPanel/SuggestionsPanel/group);
ImageViewer AND ExploreView provide it + pass it to their canvas. Overlay is
pointer-events:none so it never blocks pan/zoom/click. Videos out of v1 scope.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
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
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
Exposes the detector config (per-proposer enable + weights + confidence, caps,
dedupe IoU) in Settings → Tagging, backed by MLSettings via /api/ml/settings.
ml_admin adds the detector fields to _EDITABLE + GET payload + validation (conf
0..1, caps >=1, IoU 0..1). New CropProposersCard.vue (mirrors HeadsCard) with
working defaults pre-filled, per-field live-save (no restart — the agent picks
changes up on its next lease), weights-format help, switch-revert on error.
Closes milestone #134: all three proposers are on out-of-the-box and tunable in
the UI. Test: detector defaults GET + patch round-trip + range validation.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
The GPU lease now carries the crop-proposer config from MLSettings in a per-job
'detectors' block (same pattern as embed_model_name). The agent's worker builds
its Proposers from the announced config via _effective_cfg (lease block overlaid
on env) + _proposers_for (rebuilds only when a config signature changes) — so an
operator's UI edit takes effect on the next lease with NO restart, and env is now
just the bootstrap fallback until the server announces. enabled-off maps to empty
weights (proposer skipped); dedupe_iou + max_regions also come from the effective
cfg. Test: lease announces the detectors block with the seeded default weights.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
Move the crop-proposer config (per-proposer enable + weights + conf, caps,
dedupe IoU) into the DB so it's UI-tunable and can be announced to the GPU agent
in the lease (like the embedder model) — no restart, agent env becomes
bootstrap-only. Migration 0078 adds the columns with working server_defaults so
existing rows + fresh installs crop out-of-the-box with all three proposers ON
(operator: default-on): person=yolo11n.pt, anatomy=booru_yolo yolov11m_aa22 (URL,
license unstated/private-homelab-OK), panel=mosesb best.pt. Plain columns, no
CHECK enum. Steps 2 (lease announce + agent apply) and 3 (Settings UI) follow.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
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
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
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
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
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
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
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
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
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
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
The real phase-1 ctx has always carried auth_token; the native branch now
threads it into the adapter constructors, so the stub ctx must match the
contract (kept the strict ctx[...] read — it catches exactly this drift).
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
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
The stub payload is PNG bytes regardless of target extension, so the real
validator quarantined the .jpg cases; and extracting the ugoira work hit the
API seam of a fake session with no .post. Validation/quarantine plumbing
stays covered by the Patreon downloader tests.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
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
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
bvandeusen