feat(#2035): semantic tags + quality score + AI caption+embedding

- 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

packages/adapters/sqlalchemy_impl/asset_atom_clip_repository.py

@@ -83,6 +83,23 @@ class SQLAlchemyAssetAtomClipRepository:
         models = query.all()
         return [self._to_domain(m) for m in models]
 
+    def update_caption_embedding(self, clip_id: str, caption: str | None, embedding: list[float] | None = None) -> bool:
+        """更新片段的 caption 和 embedding 字段。"""
+        upd: dict = {}
+        if caption is not None:
+            upd["caption"] = caption
+        if embedding is not None:
+            upd["embedding"] = embedding
+        if not upd:
+            return False
+        count = (
+            self.session.query(AssetAtomClipModel)
+            .filter(AssetAtomClipModel.id == clip_id)
+            .update(upd)
+        )
+        self.session.commit()
+        return count > 0
+
     def update_ai_tags(self, clip_id: str, ai_tags: dict) -> bool:
         """更新指定片段的 ai_tags 字段."""
         count = (
@@ -118,6 +135,8 @@ class SQLAlchemyAssetAtomClipRepository:
             clip_index=clip.clip_index,
             tags=clip.tags,
             ai_tags=clip.ai_tags,
+            caption=clip.caption,
+            embedding=clip.embedding,
             scene_change_at=clip.scene_change_at,
             is_fallback=clip.is_fallback,
             created_at=clip.created_at or datetime.now(UTC),
@@ -132,6 +151,9 @@ class SQLAlchemyAssetAtomClipRepository:
             duration=model.duration,
             clip_index=model.clip_index,
             tags=model.tags or [],
+            ai_tags=getattr(model, "ai_tags", None),
+            caption=getattr(model, "caption", None),
+            embedding=getattr(model, "embedding", None),
             scene_change_at=model.scene_change_at,
             is_fallback=model.is_fallback,
             created_at=model.created_at,

packages/adapters/sqlalchemy_impl/models.py

@@ -2,6 +2,7 @@ from datetime import UTC, datetime
 from typing import Any
 
 from sqlalchemy import (
+
     JSON,
     Boolean,
     Column,
@@ -841,6 +842,8 @@ class AssetAtomClipModel(Base):
     clip_index = Column(Integer, nullable=False)
     tags = Column(JSON, nullable=False, default=list)
     ai_tags = Column(JSON, nullable=True, default=None)
+    caption = Column(Text, nullable=True, default=None)
+    embedding = Column(JSON, nullable=True, default=None)
     scene_change_at = Column(Float, nullable=True)
     is_fallback = Column(Boolean, nullable=False, default=False)
     created_at = Column(DateTime, nullable=False, default=lambda: datetime.now(UTC))