Add food tag remap feature and show menu tags in restaurant cards

- LLM extraction prompt: foods_mentioned max 10, Korean only, prioritized
- New /remap-foods API endpoint for bulk LLM re-extraction
- Admin UI: "메뉴태그 재생성" button with SSE progress bar
- Backend: attach foods_mentioned to restaurant list API response
- Restaurant cards: display food tags (orange, max 5 visible)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

backend/api/routes/videos.py

@@ -307,6 +307,130 @@ def remap_cuisine(_admin: dict = Depends(get_admin_user)):
     return StreamingResponse(generate(), media_type="text/event-stream")
 
 
+@router.post("/remap-foods")
+def remap_foods(_admin: dict = Depends(get_admin_user)):
+    """Re-extract foods_mentioned for all video_restaurants using LLM. SSE progress."""
+    from core.extractor import _llm, _parse_json
+
+    BATCH = 15
+
+    _FOODS_PROMPT = """\
+아래 식당들의 대표 메뉴 태그를 다시 만들어주세요.
+
+규칙:
+- 반드시 한글로 작성
+- 각 식당당 최대 10개의 대표 메뉴/음식 태그
+- 우선순위: 시그니처 메뉴 > 자주 언급된 메뉴 > 일반 메뉴
+- 너무 일반적인 태그(밥, 반찬 등)는 제외
+- 모든 식당에 대해 빠짐없이 결과 반환 (총 {count}개)
+- JSON 배열만 반환, 설명 없음
+- 형식: [{{"id": "식당ID", "foods": ["메뉴1", "메뉴2", ...]}}]
+
+식당 목록:
+{restaurants}
+
+JSON 배열:"""
+
+    def _apply_batch(batch: list[dict]) -> tuple[int, list[dict]]:
+        items = [{"id": b["id"], "name": b["name"], "current_foods": b["foods"], "cuisine_type": b.get("cuisine_type")} for b in batch]
+        prompt = _FOODS_PROMPT.format(
+            restaurants=_json.dumps(items, ensure_ascii=False),
+            count=len(items),
+        )
+        raw = _llm(prompt, max_tokens=4096)
+        results = _parse_json(raw)
+        if not isinstance(results, list):
+            return 0, batch
+
+        result_map: dict[str, list[str]] = {}
+        for item in results:
+            if isinstance(item, dict) and "id" in item and "foods" in item:
+                foods = item["foods"]
+                if isinstance(foods, list):
+                    # Ensure Korean, max 10
+                    foods = [str(f) for f in foods[:10]]
+                    result_map[item["id"]] = foods
+
+        updated = 0
+        missed = []
+        for b in batch:
+            bid = b["id"]
+            new_foods = result_map.get(bid)
+            if new_foods is None:
+                missed.append(b)
+                continue
+            with db_conn() as c:
+                c.cursor().execute(
+                    "UPDATE video_restaurants SET foods_mentioned = :foods WHERE id = :id",
+                    {"foods": _json.dumps(new_foods, ensure_ascii=False), "id": bid},
+                )
+                updated += 1
+        return updated, missed
+
+    def generate():
+        # Fetch all video_restaurants with context
+        sql = """
+            SELECT vr.id, r.name, r.cuisine_type,
+                   vr.foods_mentioned, v.title
+            FROM video_restaurants vr
+            JOIN restaurants r ON r.id = vr.restaurant_id
+            JOIN videos v ON v.id = vr.video_id
+            ORDER BY r.name
+        """
+        with db_conn() as c:
+            cur = c.cursor()
+            cur.execute(sql)
+            rows = []
+            for row in cur.fetchall():
+                foods_raw = row[3].read() if hasattr(row[3], "read") else (row[3] or "[]")
+                try:
+                    foods = _json.loads(foods_raw) if isinstance(foods_raw, str) else foods_raw
+                except Exception:
+                    foods = []
+                rows.append({
+                    "id": row[0],
+                    "name": row[1],
+                    "cuisine_type": row[2],
+                    "foods": foods if isinstance(foods, list) else [],
+                    "video_title": row[4],
+                })
+
+        total = len(rows)
+        yield f"data: {_json.dumps({'type': 'start', 'total': total})}\n\n"
+
+        updated = 0
+        all_missed: list[dict] = []
+
+        for i in range(0, total, BATCH):
+            batch = rows[i : i + BATCH]
+            yield f"data: {_json.dumps({'type': 'processing', 'current': min(i + BATCH, total), 'total': total})}\n\n"
+            try:
+                cnt, missed = _apply_batch(batch)
+                updated += cnt
+                all_missed.extend(missed)
+                yield f"data: {_json.dumps({'type': 'batch_done', 'current': min(i + BATCH, total), 'total': total, 'updated': updated})}\n\n"
+            except Exception as e:
+                logger.error("Remap foods error at %d: %s", i, e, exc_info=True)
+                all_missed.extend(batch)
+                yield f"data: {_json.dumps({'type': 'error', 'message': str(e), 'current': i})}\n\n"
+
+        # Retry missed
+        if all_missed:
+            yield f"data: {_json.dumps({'type': 'retry', 'missed': len(all_missed)})}\n\n"
+            for i in range(0, len(all_missed), 10):
+                batch = all_missed[i : i + 10]
+                try:
+                    cnt, _ = _apply_batch(batch)
+                    updated += cnt
+                except Exception as e:
+                    logger.error("Remap foods retry error: %s", e)
+
+        cache.flush()
+        yield f"data: {_json.dumps({'type': 'complete', 'total': total, 'updated': updated})}\n\n"
+
+    return StreamingResponse(generate(), media_type="text/event-stream")
+
+
 @router.post("/rebuild-vectors")
 def rebuild_vectors(_admin: dict = Depends(get_admin_user)):
     """Rebuild all restaurant vector embeddings. Streams SSE progress."""