Initial commit — Movie Night media discovery app

AI-powered web app that recommends unwatched movies from a Jellyfin
library based on natural language mood input. Jellyfin auth, modular
LLM backend (Claude/OpenAI/Ollama), two-tier pre-filter + AI ranking,
mobile-responsive dark theme UI with poster cards and deep links.

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

app/routers/library.py

@@ -0,0 +1,45 @@
+import asyncio
+
+from fastapi import APIRouter, Request
+
+from app.database import get_db
+from app.routers.auth import get_current_user
+from app.services.library_sync import sync_movie_metadata, sync_watch_state
+
+router = APIRouter()
+
+
+@router.get("/stats")
+async def library_stats(request: Request):
+    await get_current_user(request)
+
+    db = await get_db()
+    try:
+        cursor = await db.execute("SELECT COUNT(*) as count FROM movies")
+        row = await cursor.fetchone()
+        total_movies = row["count"]
+
+        cursor = await db.execute(
+            "SELECT value FROM sync_status WHERE key = 'last_metadata_sync'"
+        )
+        row = await cursor.fetchone()
+        last_sync = row["value"] if row else None
+
+        return {
+            "total_movies": total_movies,
+            "last_sync": last_sync,
+        }
+    finally:
+        await db.close()
+
+
+@router.post("/sync")
+async def trigger_sync(request: Request):
+    await get_current_user(request)
+    asyncio.create_task(_do_sync())
+    return {"status": "sync started"}
+
+
+async def _do_sync():
+    await sync_movie_metadata()
+    await sync_watch_state()