| import os |
| from dataclasses import dataclass, field |
| from pathlib import Path |
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|
| ROOT = Path(__file__).resolve().parent.parent |
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|
| def _bool(name: str, default: bool = False) -> bool: |
| return os.getenv(name, str(default)).strip().lower() in ("1", "true", "yes", "on") |
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| MAX_BATCH_SIZE = int(os.getenv("MAX_BATCH_SIZE", "500")) |
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|
| @dataclass |
| class Settings: |
| model_dir: Path = field(default_factory=lambda: Path(os.getenv("MODEL_DIR", ROOT / "model"))) |
| frontend_path: Path = field(default_factory=lambda: ROOT / "frontend" / "dashboard.html") |
| api_keys: tuple = field(default_factory=lambda: tuple( |
| k.strip() for k in os.getenv("API_KEYS", "").split(",") if k.strip())) |
| auth_disabled: bool = field(default_factory=lambda: _bool("AUTH_DISABLED")) |
| rate_limit_per_min: int = field(default_factory=lambda: int(os.getenv("RATE_LIMIT_PER_MIN", "120"))) |
| max_batch_size: int = MAX_BATCH_SIZE |
| allowed_origins: tuple = field(default_factory=lambda: tuple( |
| o.strip() for o in os.getenv("ALLOWED_ORIGINS", "http://localhost:8000").split(",") if o.strip())) |
| strict_versions: bool = field(default_factory=lambda: _bool("STRICT_VERSIONS")) |
| drift_window: int = field(default_factory=lambda: int(os.getenv("DRIFT_WINDOW", "5000"))) |
| drift_min_samples: int = field(default_factory=lambda: int(os.getenv("DRIFT_MIN_SAMPLES", "200"))) |
| log_every: int = field(default_factory=lambda: int(os.getenv("LOG_EVERY_N_PREDICTIONS", "100"))) |
| log_level: str = field(default_factory=lambda: os.getenv("LOG_LEVEL", "INFO")) |
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|
