Ruff-Cleanup: ganzes MC2-Repo lint-grün + projekt-passende ruff.toml

Die Ampel-Nachruestung deckte 317/337 vorbestehende ruff-Verstoesse im ganzen Repo
auf. Aufgeraeumt:
- ruff.toml: intentionale Muster als Projekt-Politik ausgenommen (BLE001 blind-except,
  S110/S112 try-except-pass/continue, PLW1510 subprocess-best-effort, B008 FastAPI-
  Depends/File-Idiom, EXE001 Shebang, + wenige Stil-Regeln). __init__.py-Re-Exports
  geschuetzt (F401).
- ruff --fix: 128 mechanische (Import-Sortierung, PEP585/604-Annotationen, tote Imports,
  ueberfluessige noqa) auto-behoben.
- 12 echte Reste von Hand: PERF402/102, PLC3002 (Lambda->walrus), ISC004 (String-Concat
  geklammert), F841/RUF059 (ungenutzte Vars), PIE810 (startswith-Tuple), UP031 (f-string),
  UP035 (veraltete typing-Imports).
Ergebnis: 'ruff check .' = 0, 'compileall' grün. Kein Verhaltenswechsel (nur Stil/Modernisierung).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

voice_service/app.py

@@ -331,7 +331,7 @@ def chatterbox_tts(text: str, language: str, ref_path: str) -> bytes:
         try:
             wav = model.generate(text, **kwargs)
             break
-        except Exception as exc:  # noqa: BLE001
+        except Exception as exc:
             last_err = exc
             log.warning("Chatterbox-Generation fehlgeschlagen (Versuch %d/3): %s", attempt + 1, exc)
     if wav is None:
@@ -421,7 +421,7 @@ def elevenlabs_list() -> list[dict]:
             for v in data.get("voices", [])
             if v.get("category") != "premade"
         ]
-    except Exception:  # noqa: BLE001
+    except Exception:
         log.warning("ElevenLabs-Stimmenliste fehlgeschlagen", exc_info=True)
         return []
 
@@ -431,6 +431,7 @@ def elevenlabs_list() -> list[dict]:
 # =================================================================================
 def edge_tts_synth(text: str, voice: str) -> bytes:
     import asyncio
+
     import edge_tts
 
     v = voice or EDGE_DEFAULT
@@ -445,7 +446,7 @@ def edge_tts_synth(text: str, voice: str) -> bytes:
 
     try:
         return asyncio.run(_run())
-    except Exception as exc:  # noqa: BLE001
+    except Exception as exc:
         raise HTTPException(502, f"Edge-TTS-Fehler: {exc}")
 
 
@@ -459,6 +460,7 @@ def edge_list() -> list[dict]:
         return _edge_cache
     try:
         import asyncio
+
         import edge_tts
 
         voices = asyncio.run(edge_tts.list_voices())
@@ -474,7 +476,7 @@ def edge_list() -> list[dict]:
                         "clonable": False, "_female": v.get("Gender") == "Female"})
         out.sort(key=lambda i: (not i.pop("_female"), i["id"]))
         _edge_cache = out
-    except Exception:  # noqa: BLE001
+    except Exception:
         log.warning("Edge-Stimmenliste fehlgeschlagen", exc_info=True)
         _edge_cache = []
     return _edge_cache
@@ -498,6 +500,7 @@ async def lifespan(_app: FastAPI):
         # /turn-Aufruf kostete sonst ~3,3 s — das traf beim Realtest den ersten gesprochenen Satz.
         try:
             import io as _io
+
             import numpy as _np
             import soundfile as _sf
             buf = _io.BytesIO()
@@ -582,7 +585,7 @@ def _save_reference_as_wav(data: bytes, filename: str) -> str:
     dest = REFS_DIR / "ref.wav"
     import soundfile as sf
     try:
-        from faster_whisper.audio import decode_audio   # PyAV-basiert, kann mp3/m4a/ogg/wav
+        from faster_whisper.audio import decode_audio  # PyAV-basiert, kann mp3/m4a/ogg/wav
         arr = decode_audio(str(raw), sampling_rate=24000)
         sf.write(str(dest), arr, 24000, subtype="PCM_16")
         return str(dest)