kbondelie
3d5de06b44
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>
46 lines
1.1 KiB
Python
46 lines
1.1 KiB
Python
import asyncio
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from fastapi import APIRouter, Request
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from app.database import get_db
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from app.routers.auth import get_current_user
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from app.services.library_sync import sync_movie_metadata, sync_watch_state
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router = APIRouter()
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@router.get("/stats")
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async def library_stats(request: Request):
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await get_current_user(request)
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db = await get_db()
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try:
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cursor = await db.execute("SELECT COUNT(*) as count FROM movies")
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row = await cursor.fetchone()
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total_movies = row["count"]
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cursor = await db.execute(
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"SELECT value FROM sync_status WHERE key = 'last_metadata_sync'"
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)
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row = await cursor.fetchone()
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last_sync = row["value"] if row else None
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return {
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"total_movies": total_movies,
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"last_sync": last_sync,
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}
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finally:
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await db.close()
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@router.post("/sync")
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async def trigger_sync(request: Request):
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await get_current_user(request)
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asyncio.create_task(_do_sync())
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return {"status": "sync started"}
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async def _do_sync():
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await sync_movie_metadata()
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await sync_watch_state()
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