- 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
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
The four remaining run-1895 failures were stale expectations, not
predicate bugs — prune/reset returned the right counts, but these tests
verified no-deletion by counting the ENTIRE tag table (or asserting the
full kind set), which now includes the three seeded hygiene tags that
survive prunes and resets by design. Filter is_system=false with a
pointer to #128 so future system tags cannot re-break them.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
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
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
TRUNCATE ... RESTART IDENTITY resets every sequence to 1, and the
baseline restore re-inserts seeded rows WITH their explicit ids —
leaving each sequence pointing below MAX(id). Harmless while the only
baseline rows lived in tables tests never sequence-insert into
(ml_settings id=1); migration 0075 seeded tag rows and every Tag insert
after the first truncate collided on pk_tag id=1 (205 failures, run
1888 — find_or_create then surfaced it as NoResultFound via its
conflict-recovery re-select). setval every restored table with a serial
id column past its restored rows.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
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
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
Spreading canonical_tag_id onto a raw suggestion changed its _keyOf
identity, so _dropEverywhere missed the actual list row and the panel
kept showing an already-accepted suggestion. Pass the resolved id as an
option instead; pinned with a raw-suggestion spec.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
Three tag-flow gaps in the view modal (and the Explore workspace, which
shares TagPanel):
- the type-to-add dropdown now filters both its sections against the
imageledger applied tags reactively, so a just-added tag disappears
from search the moment the chip rail updates instead of after a
modal refresh
- manually picking or creating a tag the model also suggested routes
through the suggestion-accept flow: the acceptance is recorded for
head training and the row leaves the panel, instead of the add
silently bypassing the feedback loop
- removing a tag reloads the suggestion lists, so a model-suggested tag
returns to the suggestions area (flagged rejected, one-click
reversible) rather than vanishing until the next modal open
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
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
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
Operator-flagged on the deployed .5 build: the autoscaler grew the pool 1→8
against an EMPTY queue (an empty buffer read as 'GPU starving' regardless of
WHY), and every downloader kept polling lease every 10s all night.
- New idle signal straight from the lease results: an empty lease sets _idle,
any jobs clear it. The occupancy-low branch now distinguishes three cases:
queue empty → shed to ONE polling downloader; pinned at the bandwidth cap →
shed toward 3; cap headroom + work flowing → grow.
- Idle lease polls back off exponentially per downloader to
IDLE_POLL_MAX_SECONDS (15 min) and reset the moment work appears — so an
idle night costs one HTTP call per 15 min, and new work is noticed within
at most ~15 min (operator-accepted trade-off).
- UI hint: 'idle — queue empty, lease poll backed off'; /status gains idle.
Agent build 2026-07-02.6.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
The Subscriptions Settings tab's bare text-h6 headers adopt the same
uppercase accent section-title + hint convention Maintenance/Cleanup use, with
a one-line hint per section (extension / credentials / downloader / external
file-hosts / schedule defaults). Every settings-ish surface now reads
identically.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
Daily-use reorder of the Subscriptions tab: needs-attention strip first
(FailingSourcesCard moves up from below the Downloads fold — a broken
subscription was invisible unless you went looking), then a new Recent
arrivals card (real downloads only, no-change scans filtered out, artist
links), then the source list. Both cards render nothing when there's nothing
to say.
Retry logic moves into the downloads store (retrySource / retryAllFailing) so
the needs-attention card and the Downloads maintenance menu share one
implementation — single-retry forces past cooldown, bulk keeps cooldown
enforcement, same tally shape. The card's Logs button deep-links into the
Downloads tab pre-filtered (?source_id now watched, not just read on mount).
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
The Activity tab only knew Celery — the GPU agent (the majority of processing)
and the download pipeline were invisible there. Two new self-polling panels:
- GpuActivityPanel: queue depths + triage verdicts (defects / file-ok /
unprobed, top reason buckets) with a jump to Maintenance -> Failed
processing. The triage detail refetches only when the error count moves.
- DownloadsActivityPanel: 24h stat chips + failing-source names with a jump
into Subscriptions.
Both panels join the Activity tab under Queues+workers AND double as the
Overview health strip (side-by-side grid under the Celery summary) — one
component set, so Overview answers 'is everything healthy?' across all
systems. SystemStatsCards reviewed: content still accurate, left as-is.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM
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
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
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
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
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
- 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
bvandeusen