bvandeusen
74fef908d2
Graduated heads can now apply their tag without a human — gated so it's safe:
- FIRING GATE: a head fires only when the master switch (head_auto_apply_enabled,
default OFF) is on AND it has >= head_auto_apply_min_positives (default 30)
clean labels. A precise-looking but under-supported low-N head can't spray tags.
- auto_apply_sweep (heads.py): streams every embedded image in chunks, scores
against the eligible heads (numpy, no sklearn), applies each head's tag where
score >= its auto_apply_threshold and the tag isn't already applied/rejected,
with source='head_auto' (distinguishable + reversible). dry_run counts only.
- HeadAutoApplyRun (migration 0059) tracks each sweep / preview; apply_head_tags
task (ml queue) + scheduled_apply_head_tags daily beat (no-op unless enabled)
+ recovery sweep + retention(20).
- API: POST /api/heads/auto-apply {dry_run} (202 / 409 running / 400 disabled),
GET /api/heads/auto-apply (recent runs + per-concept report). Settings
head_auto_apply_enabled + min_positives via /api/ml/settings.
Tests: sweep applies above threshold, dry-run writes nothing, skips under-
supported + ungraduated heads; API disabled/dry-run/conflict guards.
NEXT (slice 2): the observability the operator asked for — per-concept misfire
(auto-applied-then-removed) + under-fire tracking, time-series snapshots, and a
reporting API to tune. Slice 3: the UI (enable, preview, trends).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa
82 lines
2.4 KiB
Python
82 lines
2.4 KiB
Python
"""All ORM models. Import this module to make every model visible to Alembic."""
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from .app_setting import AppSetting
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from .artist import Artist
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from .artist_visit import ArtistVisit
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from .backup_run import BackupRun
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from .base import Base
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from .credential import Credential
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from .download_event import DownloadEvent
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from .external_link import ExternalLink
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from .head_auto_apply_run import HeadAutoApplyRun
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from .head_training_run import HeadTrainingRun
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from .image_prediction import ImagePrediction
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from .image_provenance import ImageProvenance
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from .image_record import ImageRecord
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from .import_batch import ImportBatch
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from .import_settings import ImportSettings
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from .import_task import ImportTask
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from .library_audit_run import LibraryAuditRun
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from .ml_settings import MLSettings
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from .patreon_failed_media import PatreonFailedMedia
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from .patreon_seen_media import PatreonSeenMedia
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from .post import Post
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from .post_attachment import PostAttachment
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from .series_chapter import SeriesChapter
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from .series_page import SeriesPage
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from .series_suggestion import SeriesSuggestion
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from .source import Source
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from .subscribestar_failed_media import SubscribeStarFailedMedia
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from .subscribestar_seen_media import SubscribeStarSeenMedia
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from .tag import Tag, TagKind, image_tag
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from .tag_alias import TagAlias
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from .tag_allowlist import TagAllowlist
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from .tag_eval_run import TagEvalRun
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from .tag_head import TagHead
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from .tag_positive_confirmation import TagPositiveConfirmation
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from .tag_reference_embedding import TagReferenceEmbedding
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from .tag_suggestion_rejection import TagSuggestionRejection
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from .task_run import TaskRun
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__all__ = [
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"Base",
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"AppSetting",
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"Artist",
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"ArtistVisit",
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"BackupRun",
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"Source",
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"Credential",
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"PatreonFailedMedia",
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"PatreonSeenMedia",
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"SubscribeStarFailedMedia",
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"SubscribeStarSeenMedia",
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"Post",
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"PostAttachment",
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"SeriesChapter",
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"SeriesPage",
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"SeriesSuggestion",
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"ImageRecord",
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"ImagePrediction",
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"ImageProvenance",
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"Tag",
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"TagKind",
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"image_tag",
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"DownloadEvent",
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"ExternalLink",
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"ImportBatch",
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"ImportTask",
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"ImportSettings",
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"LibraryAuditRun",
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"MLSettings",
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"HeadAutoApplyRun",
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"HeadTrainingRun",
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"TagAlias",
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"TagAllowlist",
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"TagEvalRun",
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"TagHead",
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"TagPositiveConfirmation",
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"TagReferenceEmbedding",
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"TagSuggestionRejection",
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"TaskRun",
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]
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