14ffee3051
- FastAPI-Backend mit vollständiger ABS v2.x API-Kompatibilität - SQLAlchemy-Models: User, Library, LibraryItem, BookFile, Chapter, Podcast, PodcastEpisode, MediaProgress, Bookmark, PlaybackSession - Auth: JWT-Login (/login, /logout, /api/authorize) - Library + Items Endpoints inkl. camelCase ABS-Response-Format - HLS-Streaming via FFmpeg (POST /api/items/:id/play, Session-Sync) - Me/Progress Endpoints + Lesezeichen - User-Management + Server-Settings (Admin) - Library-Scanner (MP3/WAV Discovery, Hintergrund-Task) - File Watcher (watchdog, 30s Debounce) - Matching-Skelett (MusicBrainz, OpenLibrary, Google Books – Phase 5) - Docker-Setup: backend (Python 3.12+FFmpeg), frontend (React/Vite), nginx Reverse-Proxy auf Port 3000 - setup.sh: Installiert Docker auf Debian/Ubuntu, richtet .env ein Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
31 lines
964 B
Python
31 lines
964 B
Python
"""OpenLibrary-Matching — Phase 5."""
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import httpx
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from .base import MatchResult
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OL_BASE = "https://openlibrary.org"
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async def search_open_library(title: str, author: str | None = None) -> list[MatchResult]:
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params: dict = {"title": title, "limit": 5}
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if author:
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params["author"] = author
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async with httpx.AsyncClient(timeout=10) as client:
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resp = await client.get(f"{OL_BASE}/search.json", params=params)
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resp.raise_for_status()
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data = resp.json()
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results = []
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for doc in data.get("docs", []):
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results.append(
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MatchResult(
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source="open_library",
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source_id=doc.get("key", ""),
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title=doc.get("title", title),
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author=doc.get("author_name", [None])[0] if doc.get("author_name") else None,
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publish_year=doc.get("first_publish_year"),
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confidence=0.6,
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)
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)
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return results
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