# core/config.py
from pydantic_settings import BaseSettings, SettingsConfigDict
from typing import List, Dict

class Settings(BaseSettings):
    # Carga las variables desde un fichero .env
    model_config = SettingsConfigDict(env_file=".env", env_file_encoding="utf-8")

    # --- Configuración de Seguridad ---
    SECRET_KEY: str
    ACCESS_TOKEN_EXPIRE_MINUTES: int = 30

    # --- Configuración de Google Cloud Document AI ---
    GCP_PROJECT_ID: str
    GCP_LOCATION: str
    DOCAI_PROCESSOR_ID: str

    # --- Lógica de Negocio (pedido por Jaime, datos a extraer) ---
    REQUIRED_FIELDS: List[str] = [
        "invoice_id",
        "invoice_date",
        "total_amount",
        # "net_amount",
        "receiver_name",
        "supplier_tax_id"
    ]

    # --- CAMBIO PARA DEPURACIÓN ---
    # Bajamos los umbrales para asegurarnos de que los datos se extraen.
    CONFIDENCE_THRESHOLDS: Dict[str, float] = {
        "__default__": 0.82,      
        "supplier_name": 0.80,
        "total_amount": 0.75,
        # "net_amount": 0.92,
        "receiver_name": 0.74,
        "supplier_tax_id": 0.46
    }
# Creamos una única instancia global de la configuración
settings = Settings()