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>
41 lines
1.3 KiB
Python
41 lines
1.3 KiB
Python
"""MusicBrainz-Matching — Phase 5."""
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import httpx
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from .base import MatchResult
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MB_BASE = "https://musicbrainz.org/ws/2"
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HEADERS = {"User-Agent": "audiolib/1.0 (https://github.com/audiolib)"}
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async def search_musicbrainz(title: str, artist: str | None = None) -> list[MatchResult]:
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query = f'release:"{title}"'
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if artist:
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query += f' AND artist:"{artist}"'
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query += " AND format:Digital"
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async with httpx.AsyncClient(headers=HEADERS, timeout=10) as client:
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resp = await client.get(
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f"{MB_BASE}/release",
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params={"query": query, "fmt": "json", "limit": 5},
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)
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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 release in data.get("releases", []):
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confidence = release.get("score", 0) / 100.0
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artist_name = None
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credits = release.get("artist-credit", [])
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if credits:
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artist_name = credits[0].get("name") or credits[0].get("artist", {}).get("name")
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results.append(
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MatchResult(
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source="musicbrainz",
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source_id=release.get("id", ""),
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title=release.get("title", title),
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author=artist_name,
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confidence=confidence,
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)
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)
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return results
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