from pathlib import Path

from pydantic_settings import BaseSettings, SettingsConfigDict

# api/app/config.py -> repo root locally; "/" in the API image, where compose mounts /pipeline.
REPO_ROOT = Path(__file__).resolve().parents[2]


class Settings(BaseSettings):
    model_config = SettingsConfigDict(env_file=".env", extra="ignore")

    database_url: str = "postgresql+asyncpg://rarelens:rarelens@localhost:5432/rarelens"
    # docker-compose publishes MLflow on 5001; macOS AirPlay Receiver owns 5000.
    mlflow_tracking_uri: str = "http://localhost:5001"
    model_name: str = "rarelens-pathogenicity"
    # Registry alias set by `rarelens_ml.train --register` (stages are deprecated in MLflow 3).
    model_alias: str = "production"
    # A model artifact URI (gs://...) scores without an MLflow server running; wins over the registry.
    model_uri: str | None = None
    gcs_bucket: str | None = None          # set in GCP; local uses ./data
    pubsub_topic: str | None = None        # "vcf-uploaded" in GCP; local runs pipeline inline
    # Serverless track: run the Nextflow driver as a Cloud Run job instead of Argo + Pub/Sub.
    cloudrun_job: str | None = None
    gcp_project: str | None = None         # required with pubsub_topic or cloudrun_job
    gcp_region: str = "europe-west2"
    pipeline_dir: Path = REPO_ROOT / "pipeline"
    # Handed to the pipeline when it differs from the API's own: the loader runs inside a
    # container, where the API's localhost would be the container itself.
    pipeline_database_url: str | None = None
    nextflow_profile: str = "docker"
    # Local (non-gs://) VCFs must live under this directory.
    local_data_root: Path = Path("/data")
    # Browsers calling the API cross-origin; behind the ingress the UI is same-origin.
    cors_origins: list[str] = ["http://localhost:5173"]
    # Whether to keep pooled database connections open between requests. Set it false on a host
    # that sleeps idle containers to save money -- Railway's serverless mode decides a service is
    # idle from its *outbound* traffic, and a held connection is outbound traffic, so a pool keeps
    # the service awake and billable forever. Costs a connection setup per request, which is
    # nothing at demo traffic and the wrong trade under real load.
    database_idle_connections: bool = True


settings = Settings()