bvandeusen
22c3b54746
The eval (#1130) proved the frozen-embedding + trained-head spine; this lands its production form (the first of three slices that make heads the suggestion source, replacing Camie + centroid). - tag_head: one logistic-regression head per general/character concept with enough labelled positives. Weights (pgvector), honest CV-derived suggest threshold + earned-auto-apply point, and per-concept quality metrics. - head_training_run: persisted batch lifecycle (mirrors tag_eval_run) so the admin card shows live + historical status across navigation. - services/ml/heads.py: TRAIN (sync, ml worker, reuses tag_eval's proven data loaders + metric math so production heads match measured eval numbers) and SCORE (async, API worker — numpy via pgvector, no scikit-learn): score one image's embedding against all heads → the rail's suggestions, cached on (count, max trained_at) so a retrain invalidates without per-request loads. - tasks.ml.train_heads (ml queue, commits per head so a kill leaves progress) + recover_stalled_head_training_runs sweep + retention(20) + 5-min beat (rule 89). - api/heads.py: POST /api/heads/train (one run at a time, 409 guard) + GET /api/heads (count, graduated, last-trained, running, per-concept table, recent runs). - ml_settings: head_min_positives + head_auto_apply_precision, tunable via /api/ml/settings. Scoring isn't wired into the rail yet (slice C) and the admin UI is slice B — this slice makes training + scoring exist and CI-verifiable. 'precision' column stored as precision_cv (SQL reserved word). Migration 0058. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa
72 lines
2.0 KiB
Python
72 lines
2.0 KiB
Python
"""API blueprint registration.
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This module is imported by the Quart app factory; it just exposes the
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top-level `api_bp` for backward compatibility with FC-1's health route,
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and ALL_BLUEPRINTS for the factory to register sibling blueprints.
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"""
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from quart import Blueprint
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from . import health
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api_bp = Blueprint("api", __name__, url_prefix="/api")
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api_bp.add_url_rule("/health", view_func=health.get_health, methods=["GET"])
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def all_blueprints() -> list[Blueprint]:
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from .admin import admin_bp
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from .aliases import aliases_bp
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from .allowlist import allowlist_bp
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from .artist import artist_bp
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from .artists import artists_bp
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from .attachments import attachments_bp
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from .cleanup import cleanup_bp
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from .credentials import credentials_bp
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from .downloads import downloads_bp
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from .extension import extension_bp
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from .gallery import gallery_bp
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from .heads import heads_bp
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from .import_admin import import_admin_bp
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from .ml_admin import ml_admin_bp
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from .platforms import platforms_bp
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from .posts import posts_bp
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from .provenance import provenance_bp
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from .settings import settings_bp
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from .showcase import showcase_bp
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from .sources import sources_bp
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from .suggestions import suggestions_bp
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from .system_activity import system_activity_bp
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from .system_backup import system_backup_bp
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from .tag_eval import tag_eval_bp
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from .tags import tags_bp
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from .thumbnails import thumbnails_bp
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return [
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api_bp,
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attachments_bp,
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gallery_bp,
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provenance_bp,
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tags_bp,
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artist_bp,
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artists_bp,
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showcase_bp,
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settings_bp,
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system_activity_bp,
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system_backup_bp,
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admin_bp,
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cleanup_bp,
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import_admin_bp,
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suggestions_bp,
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allowlist_bp,
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aliases_bp,
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tag_eval_bp,
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heads_bp,
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ml_admin_bp,
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thumbnails_bp,
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sources_bp,
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platforms_bp,
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posts_bp,
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credentials_bp,
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extension_bp,
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downloads_bp,
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]
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