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/open_library.py

@@ -0,0 +1,30 @@
+"""OpenLibrary-Matching — Phase 5."""
+import httpx
+from .base import MatchResult
+
+OL_BASE = "https://openlibrary.org"
+
+
+async def search_open_library(title: str, author: str | None = None) -> list[MatchResult]:
+    params: dict = {"title": title, "limit": 5}
+    if author:
+        params["author"] = author
+
+    async with httpx.AsyncClient(timeout=10) as client:
+        resp = await client.get(f"{OL_BASE}/search.json", params=params)
+        resp.raise_for_status()
+        data = resp.json()
+
+    results = []
+    for doc in data.get("docs", []):
+        results.append(
+            MatchResult(
+                source="open_library",
+                source_id=doc.get("key", ""),
+                title=doc.get("title", title),
+                author=doc.get("author_name", [None])[0] if doc.get("author_name") else None,
+                publish_year=doc.get("first_publish_year"),
+                confidence=0.6,
+            )
+        )
+    return results