chore: snapshot livekit-cameras after serial pin + speechbrain lengths fix

config.py

@@ -0,0 +1,91 @@
+"""Load configuration from environment / .env file."""
+
+import os
+from dataclasses import dataclass, field
+from pathlib import Path
+from typing import Optional
+
+
+def _load_dotenv(path: Path) -> None:
+    if not path.is_file():
+        return
+    for line in path.read_text().splitlines():
+        line = line.strip()
+        if not line or line.startswith("#") or "=" not in line:
+            continue
+        key, _, value = line.partition("=")
+        os.environ.setdefault(key.strip(), value.strip())
+
+
+@dataclass
+class Config:
+    # connection
+    url: str = ""
+    api_key: str = ""
+    api_secret: str = ""
+    room: str = "cameras"
+    participant_prefix: str = "cam"
+    # video
+    width: int = 1280
+    height: int = 720
+    fps: int = 30
+    min_fps: int = 5
+    # audio
+    audio_rate: int = 16000
+    audio_channels: int = 1
+    # speechbrain cleanup
+    enhance_mode: str = "auto"  # auto | force | off
+    enhance_model: str = "speechbrain/metricgan-plus-voicebank"
+    enhance_chunk_s: float = 0.2
+    # misc
+    publish_timeout_s: float = 60.0
+    log_level: str = "INFO"
+    cameras: list[str] = field(default_factory=lambda: ["all"])
+
+
+def _parse_cameras(spec: str) -> list[str]:
+    """Expand 'all' / '1,3,5' / '0-19' into a list of indices ('' = all)."""
+    spec = (spec or "all").strip().lower()
+    if spec in ("all", ""):
+        return ["all"]
+    out = []
+    for part in spec.split(","):
+        part = part.strip()
+        if not part:
+            continue
+        if "-" in part:
+            lo, hi = part.split("-", 1)
+            out.extend(str(i) for i in range(int(lo), int(hi) + 1))
+        else:
+            out.append(part)
+    return out
+
+
+def load_config(env_path: Optional[Path] = None) -> Config:
+    _load_dotenv(Path(env_path or Path(__file__).parent / ".env"))
+
+    cfg = Config(
+        url=os.environ.get("LIVEKIT_URL", ""),
+        api_key=os.environ.get("LIVEKIT_API_KEY", ""),
+        api_secret=os.environ.get("LIVEKIT_API_SECRET", ""),
+        room=os.environ.get("LIVEKIT_ROOM", "cameras"),
+        participant_prefix=os.environ.get("PARTICIPANT_PREFIX", "cam"),
+        width=int(os.environ.get("VIDEO_WIDTH", "1280")),
+        height=int(os.environ.get("VIDEO_HEIGHT", "720")),
+        fps=int(os.environ.get("VIDEO_FPS", "30")),
+        min_fps=int(os.environ.get("VIDEO_MIN_FPS", "5")),
+        audio_rate=int(os.environ.get("AUDIO_SAMPLE_RATE", "16000")),
+        audio_channels=int(os.environ.get("AUDIO_CHANNELS", "1")),
+        enhance_mode=os.environ.get("ENHANCE_MODE", "auto").lower(),
+        enhance_model=os.environ.get(
+            "ENHANCE_MODEL", "speechbrain/metricgan-plus-voicebank"
+        ),
+        enhance_chunk_s=float(os.environ.get("ENHANCE_CHUNK_S", "0.2")),
+        publish_timeout_s=float(os.environ.get("PUBLISH_TIMEOUT_S", "60")),
+        log_level=os.environ.get("LOG_LEVEL", "INFO").upper(),
+        cameras=_parse_cameras(os.environ.get("CAMERAS", "all")),
+    )
+
+    if cfg.enhance_mode not in ("auto", "force", "off"):
+        raise ValueError(f"ENHANCE_MODE must be auto|force|off, got {cfg.enhance_mode}")
+    return cfg