from pydantic_settings import BaseSettings


class Settings(BaseSettings):
    DATABASE_URL: str = "postgresql+asyncpg://olivas:olivas@localhost:5453/olivas"
    UPLOAD_DIR: str = "./data/uploads"
    DEVICE: str = "auto"  # auto | cpu | cuda
    ANTHROPIC_API_KEY: str = ""
    CORS_ORIGINS: str = "http://localhost:1577"
    BACKEND_HOST: str = "0.0.0.0"
    BACKEND_PORT: int = 8000

    # Google Cloud Run service URLs (empty = use local processing)
    CLOUD_RUN_SALIENCY_URL: str = ""    # e.g. https://olivas-saliency-xxx-ew.a.run.app
    CLOUD_RUN_PROCESSING_URL: str = ""  # e.g. https://olivas-processing-xxx-ew.a.run.app
    CLOUD_RUN_SECRET: str = ""          # Shared secret for X-Internal-Secret header

    GOOGLE_CLOUD_PROJECT: str = "optical-414516"

    # Azure AD SSO
    AZURE_TENANT_ID: str = ""
    AZURE_CLIENT_ID: str = ""
    AZURE_AUTH_ENABLED: bool = True

    @property
    def use_cloud_run(self) -> bool:
        return bool(self.CLOUD_RUN_SALIENCY_URL)

    @property
    def device(self) -> str:
        if self.DEVICE == "auto":
            try:
                import torch
                return "cuda" if torch.cuda.is_available() else "cpu"
            except ImportError:
                return "cpu"
        return self.DEVICE

    @property
    def cors_origins_list(self) -> list[str]:
        return [o.strip() for o in self.CORS_ORIGINS.split(",")]

    model_config = {"env_file": ".env", "env_file_encoding": "utf-8"}


settings = Settings()