Add admin features, responsive UI, user reviews, visit stats, and channel-colored markers

- Admin: video management with Google Maps match status, manual restaurant mapping, restaurant remap on name change
- Admin: user management tab with favorites/reviews detail
- Admin: channel deletion fix for IDs with slashes
- Frontend: responsive mobile layout (map top, list bottom, 2-row header)
- Frontend: channel-colored map markers with legend
- Frontend: my reviews list, favorites toggle, visit counter overlay
- Frontend: force light mode for dark theme devices
- Backend: visit tracking (site_visits table), user reviews endpoint
- Backend: bulk transcript/extract streaming, geocode key fixes
- Nginx config for production deployment

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

backend/core/pipeline.py

@@ -28,7 +28,7 @@ def process_video(video: dict) -> int:
 
     try:
         # 1. Transcript
-        transcript = youtube.get_transcript(video_id)
+        transcript, _src = youtube.get_transcript(video_id)
         if not transcript:
             logger.warning("No transcript for %s, marking done", video_id)
             youtube.update_video_status(video_db_id, "done")
@@ -72,6 +72,11 @@ def process_video(video: dict) -> int:
                 cuisine_type=rest_data.get("cuisine_type"),
                 price_range=rest_data.get("price_range"),
                 google_place_id=place_id,
+                phone=geo.get("phone") if geo else None,
+                website=geo.get("website") if geo else None,
+                business_status=geo.get("business_status") if geo else None,
+                rating=geo.get("rating") if geo else None,
+                rating_count=geo.get("rating_count") if geo else None,
             )
 
             # Link video <-> restaurant
@@ -101,6 +106,76 @@ def process_video(video: dict) -> int:
         return 0
 
 
+def process_video_extract(video: dict, transcript: str, custom_prompt: str | None = None) -> int:
+    """Run LLM extraction + geocode + save on an existing transcript.
+    Returns number of restaurants found."""
+    video_db_id = video["id"]
+    title = video["title"]
+
+    logger.info("Extracting restaurants from video: %s", title)
+
+    try:
+        restaurants, llm_raw = extractor.extract_restaurants(title, transcript, custom_prompt=custom_prompt)
+        if not restaurants:
+            youtube.update_video_status(video_db_id, "done", llm_raw=llm_raw)
+            return 0
+
+        count = 0
+        for rest_data in restaurants:
+            name = rest_data.get("name")
+            if not name:
+                continue
+
+            geo = geocoding.geocode_restaurant(
+                name,
+                address=rest_data.get("address"),
+                region=rest_data.get("region"),
+            )
+
+            lat = geo["latitude"] if geo else None
+            lng = geo["longitude"] if geo else None
+            addr = geo["formatted_address"] if geo else rest_data.get("address")
+            place_id = geo["google_place_id"] if geo else None
+
+            rest_id = restaurant.upsert(
+                name=name,
+                address=addr,
+                region=rest_data.get("region"),
+                latitude=lat,
+                longitude=lng,
+                cuisine_type=rest_data.get("cuisine_type"),
+                price_range=rest_data.get("price_range"),
+                google_place_id=place_id,
+                phone=geo.get("phone") if geo else None,
+                website=geo.get("website") if geo else None,
+                business_status=geo.get("business_status") if geo else None,
+                rating=geo.get("rating") if geo else None,
+                rating_count=geo.get("rating_count") if geo else None,
+            )
+
+            restaurant.link_video_restaurant(
+                video_db_id=video_db_id,
+                restaurant_id=rest_id,
+                foods=rest_data.get("foods_mentioned"),
+                evaluation=rest_data.get("evaluation"),
+                guests=rest_data.get("guests"),
+            )
+
+            chunks = _build_chunks(name, rest_data, title)
+            if chunks:
+                vector.save_restaurant_vectors(rest_id, chunks)
+
+            count += 1
+            logger.info("Saved restaurant: %s (geocoded=%s)", name, bool(geo))
+
+        youtube.update_video_status(video_db_id, "done", llm_raw=llm_raw)
+        return count
+
+    except Exception as e:
+        logger.error("Extract error for %s: %s", video["video_id"], e, exc_info=True)
+        return 0
+
+
 def _build_chunks(name: str, data: dict, video_title: str) -> list[str]:
     """Build text chunks for vector embedding."""
     parts = [f"식당: {name}"]