API/core/config.py

from pathlib import Path
from pydantic_settings import BaseSettings


class Settings(BaseSettings):
    # Application
    app_name: str = "Biomass Prediction API"
    model_name: str = "convnextv2_pico.fcmae"
    img_size: int = 384

    # ------------------------------------------------------------------
    # Paths
    # ------------------------------------------------------------------

    # Repository root (/app in Hugging Face Docker Spaces)
    base_dir: Path = Path(__file__).resolve().parent.parent.parent

    # Persistent storage mount in Hugging Face Spaces
    data_dir: Path = Path("/data")

    # Model directories
    aux_model_dir: Path = data_dir / "Models_Aux_Only"
    main_model_dir: Path = data_dir / "Models_Seeded_Ensemble"

    # ------------------------------------------------------------------
    # Inference Configuration
    # ------------------------------------------------------------------

    targets: list[str] = [
        "Dry_Green_g",
        "Dry_Dead_g",
        "Dry_Clover_g",
        "GDM_g",
        "Dry_Total_g",
    ]

    fold_weights: dict[int, float] = {
        0: 0.2,
        1: 0.2,
        2: 0.2,
        3: 0.2,
        4: 0.2,
    }

    seeds: list[int] = [42]
    aux_seeds: list[int] = [44]

    class Config:
        env_file = ".env"


settings = Settings()


# Optional debug logs
if __name__ == "__main__":
    print("Base Directory:", settings.base_dir)
    print("Data Directory:", settings.data_dir)
    print("Aux Models:", settings.aux_model_dir)
    print("Main Models:", settings.main_model_dir)
    print("Aux Exists:", settings.aux_model_dir.exists())
    print("Main Exists:", settings.main_model_dir.exists())