from pydantic_settings import BaseSettings
from pathlib import Path
import os
from functools import lru_cache

# Define Paths
# Using __file__ to reliably get the project root.
# api/core/config.py -> api/core -> api
BASE_DIR = Path(__file__).resolve().parent.parent

# ENV when using standalone uvicorn server running FastAPI in api directory
ENV_PATH = Path(".env")

SAVE_MODELS = (
    BASE_DIR / "models/saved/QS_XGBClassifier_SelectiveCalibratedModel_v1.0.0/"
)


class Settings(BaseSettings):
    """
    Application settings.
    """

    PROJECT_NAME: str = "QS Selective Classification API"
    VERSION: str = "1.0.0"
    DESCRIPTION: str = "Intelligent BoQ routing and NRM hierarchy inference."

    # Model configuration
    MODEL_DIR: Path = Path(os.getenv("MODEL_DIR", SAVE_MODELS))

    class Config:
        env_file = ".env"
        case_sensitive = True


@lru_cache()
def get_settings() -> Settings:
    return Settings()


settings = get_settings()