# services/invoice_processor_service.py
import logging
from typing import Dict, List, Any

# Importamos nuestro nuevo cliente GCP de forma local y limpia
from .gcp_document_ai_client import process_document_gcp

# (Opcional, si tienes utilidades) from .utils import data_cleaner

# Importamos la configuración centralizada
from core.config import settings

# --- Lógica de negocio extraída del antiguo processing.py ---
def _get_confidence_threshold_for_field(field_type: str) -> float:
    return settings.CONFIDENCE_THRESHOLDS.get(field_type, settings.CONFIDENCE_THRESHOLDS["__default__"])

def _extract_specific_fields(entities: List[Any]) -> Dict[str, str]:
    extracted_data = {field: "Not found or low confidence" for field in settings.REQUIRED_FIELDS}

    for entity in entities:
        entity_type = entity.type_
        threshold = _get_confidence_threshold_for_field(entity_type)

        if entity_type in settings.REQUIRED_FIELDS and entity.confidence >= threshold:
            value = entity.mention_text.replace('\n', ' ').strip()
            # if entity_type == 'invoice_date':
            #     value = data_cleaner.normalize_date(value) or f"Unparseable Date: '{value}'"
            extracted_data[entity_type] = value
    return extracted_data

# --- Función principal del servicio ---
def process_invoice_from_bytes(file_bytes: bytes, mime_type: str) -> Dict[str, str]:
    """
    Orquesta el proceso completo: llama a Document AI, extrae y limpia los datos.
    """
    try:
        # 1. Llamar a la API de Google a través de nuestro cliente dedicado
        document = process_document_gcp(
            project_id=settings.GCP_PROJECT_ID,
            location=settings.GCP_LOCATION,
            processor_id=settings.DOCAI_PROCESSOR_ID,
            file_bytes=file_bytes,
            mime_type=mime_type,
        )

        # 2. Aplicar la lógica de negocio para extraer y validar los campos
        validated_data = _extract_specific_fields(document.entities)
        
        logging.info("Documento procesado con éxito y datos validados.")
        return validated_data

    except Exception as e:
        logging.error(f"Error en el flujo de procesamiento de factura: {e}", exc_info=True)
        # Re-lanzamos la excepción para que el endpoint de la API la capture y devuelva un 500
        raise