# config/config.py
from pydantic_settings import BaseSettings
from pathlib import Path
import torch

class Settings(BaseSettings):
    MODEL_NAME: str = "mlx-community/Llama-3.2-3B-Instruct-8bit"
    EMBEDDER_MODEL: str = "distiluse-base-multilingual-cased"
    CHUNK_SIZE: int = 1000
    CHUNK_OVERLAP: int = 100
    CSV_URL: str = 'https://www.bofrost.de/datafeed/DE/products.csv'
    PDF_FOLDER: Path = Path("./pdfs")
    DEVICE: str = "cuda" if torch.cuda.is_available() else "cpu"
    QUANTIZATION_BITS: int = 8
    FAQ_ROOT_URL: str = "https://www.bofrost.de/faq/"
    CACHE_DURATION: int = 3600
    MAX_RETRIES: int = 3
    TIMEOUT: int = 30

    class Config:
        env_file = ".env"

settings = Settings()