Migrate to Python daemon

src/config.py

@@ -0,0 +1,109 @@
+import json
+import os
+from dataclasses import dataclass
+from pathlib import Path
+
+
+def _parse_bool(val: str) -> bool:
+    return val.strip().lower() in {"1", "true", "yes", "on"}
+
+
+@dataclass
+class Config:
+    hotkey: str = "Cmd+m"
+    ffmpeg_input: str = "pulse:default"
+    ffmpeg_path: str = ""
+
+    whisper_model: str = "base"
+    whisper_lang: str = "en"
+    whisper_device: str = "cpu"
+    whisper_extra_args: str = ""
+    whisper_timeout_sec: int = 300
+
+    record_timeout_sec: int = 120
+    segment_sec: int = 5
+    streaming: bool = False
+
+    injection_backend: str = "clipboard"
+
+    ai_enabled: bool = False
+    ai_provider: str = "ollama"
+    ai_model: str = "llama3.2:3b"
+    ai_temperature: float = 0.0
+    ai_system_prompt_file: str = ""
+    ai_base_url: str = "http://localhost:11434"
+    ai_api_key: str = ""
+    ai_timeout_sec: int = 20
+
+
+def default_path() -> Path:
+    return Path.home() / ".config" / "lel" / "config.json"
+
+
+def load(path: str | None) -> Config:
+    cfg = Config()
+    p = Path(path) if path else default_path()
+    if p.exists():
+        data = json.loads(p.read_text(encoding="utf-8"))
+        for k, v in data.items():
+            if hasattr(cfg, k):
+                setattr(cfg, k, v)
+
+    # env overrides
+    if os.getenv("WHISPER_MODEL"):
+        cfg.whisper_model = os.environ["WHISPER_MODEL"]
+    if os.getenv("WHISPER_LANG"):
+        cfg.whisper_lang = os.environ["WHISPER_LANG"]
+    if os.getenv("WHISPER_DEVICE"):
+        cfg.whisper_device = os.environ["WHISPER_DEVICE"]
+    if os.getenv("WHISPER_EXTRA_ARGS"):
+        cfg.whisper_extra_args = os.environ["WHISPER_EXTRA_ARGS"]
+    if os.getenv("WHISPER_FFMPEG_IN"):
+        cfg.ffmpeg_input = os.environ["WHISPER_FFMPEG_IN"]
+    if os.getenv("WHISPER_STREAM"):
+        cfg.streaming = _parse_bool(os.environ["WHISPER_STREAM"])
+    if os.getenv("WHISPER_SEGMENT_SEC"):
+        cfg.segment_sec = int(os.environ["WHISPER_SEGMENT_SEC"])
+    if os.getenv("WHISPER_TIMEOUT_SEC"):
+        cfg.whisper_timeout_sec = int(os.environ["WHISPER_TIMEOUT_SEC"])
+
+    if os.getenv("LEL_FFMPEG_PATH"):
+        cfg.ffmpeg_path = os.environ["LEL_FFMPEG_PATH"]
+    if os.getenv("LEL_RECORD_TIMEOUT_SEC"):
+        cfg.record_timeout_sec = int(os.environ["LEL_RECORD_TIMEOUT_SEC"])
+    if os.getenv("LEL_HOTKEY"):
+        cfg.hotkey = os.environ["LEL_HOTKEY"]
+    if os.getenv("LEL_INJECTION_BACKEND"):
+        cfg.injection_backend = os.environ["LEL_INJECTION_BACKEND"]
+
+    if os.getenv("LEL_AI_ENABLED"):
+        cfg.ai_enabled = _parse_bool(os.environ["LEL_AI_ENABLED"])
+    if os.getenv("LEL_AI_PROVIDER"):
+        cfg.ai_provider = os.environ["LEL_AI_PROVIDER"]
+    if os.getenv("LEL_AI_MODEL"):
+        cfg.ai_model = os.environ["LEL_AI_MODEL"]
+    if os.getenv("LEL_AI_TEMPERATURE"):
+        cfg.ai_temperature = float(os.environ["LEL_AI_TEMPERATURE"])
+    if os.getenv("LEL_AI_SYSTEM_PROMPT_FILE"):
+        cfg.ai_system_prompt_file = os.environ["LEL_AI_SYSTEM_PROMPT_FILE"]
+    if os.getenv("LEL_AI_BASE_URL"):
+        cfg.ai_base_url = os.environ["LEL_AI_BASE_URL"]
+    if os.getenv("LEL_AI_API_KEY"):
+        cfg.ai_api_key = os.environ["LEL_AI_API_KEY"]
+    if os.getenv("LEL_AI_TIMEOUT_SEC"):
+        cfg.ai_timeout_sec = int(os.environ["LEL_AI_TIMEOUT_SEC"])
+
+    if not cfg.hotkey:
+        raise ValueError("hotkey cannot be empty")
+    if cfg.record_timeout_sec <= 0:
+        raise ValueError("record_timeout_sec must be > 0")
+    if cfg.whisper_timeout_sec <= 0:
+        raise ValueError("whisper_timeout_sec must be > 0")
+
+    return cfg
+
+
+def redacted_dict(cfg: Config) -> dict:
+    d = cfg.__dict__.copy()
+    d["ai_api_key"] = ""
+    return d