Initial commit: Phase 1 – Projektstruktur, DB-Schema, Core-API

- 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>

backend/app/services/matching/base.py

@@ -0,0 +1,25 @@
+from dataclasses import dataclass, field
+from typing import Optional
+
+
+@dataclass
+class MatchResult:
+    source: str  # musicbrainz / open_library / google_books
+    source_id: str
+    title: str
+    author: str | None = None
+    narrator: str | None = None
+    description: str | None = None
+    cover_url: str | None = None
+    publisher: str | None = None
+    publish_year: int | None = None
+    series: str | None = None
+    series_sequence: str | None = None
+    language: str | None = None
+    genres: list[str] = field(default_factory=list)
+    chapters: list[dict] = field(default_factory=list)
+    confidence: float = 0.0
+
+
+class BaseMatcherError(Exception):
+    pass