saas-backend
01afc2cf69
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- Fix: generation_tasks.py passes clip_ai_tags_by_asset to pick_narrative_assets so AI tags (weight 2.0) actually participate in narrative mode selection - Feat: quality_score auto-computation via AssetAnalyzer on ingest (worker.calculate_asset_price celery task; fallback 50.0 on failure) - Feat: smart_match adds ai_semantic dimension (20% weight) using Jaccard similarity between asset AI tags (scene/objects/action) and script tags - Feat: atom_clip caption (10-30 Chinese chars) via Doubao Vision, saved to asset_atom_clips.caption (Text column, migration 085) - Feat: atom_clip embedding vector via Doubao embeddings API, saved to asset_atom_clips.embedding (JSON column) - Chore: remove dead calculate_quality_score_real wrapper - Tests: 20 new unit tests covering caption parsing, ai_semantic scoring, narrative AI tag propagation, score weight changes; update existing tests for new fallback dict shape and reweighted dimensions - Fail-open: tagging/embedding/quality failures never block main flow