from flask import request, jsonify
from marshmallow import ValidationError
from app.utils.logger import logger
from app.api.schemas.loan_status import LoanStatusSchema, LoanStatusResponseSchema
from datetime import datetime, timedelta


class LoanStatusService:
    @staticmethod
    def process_request(data):
        """
        Process the LoanStatus request.

        Args:
            data (dict): The request data.

        Returns:
            dict: A standardized response.
        """
        try:
            logger.info("Processing LoanStatus request")

            # Validate input data using LoanStatusSchema
            schema = LoanStatusSchema()
            validated_data = schema.load(data)  # Raises ValidationError if invalid

            # Simulated processing logic
            # In a real implementation, this would interact with your business logic
            # to retrieve the customer's loan status

            # For demonstration, we'll create a sample response with one loan
            # In a real implementation, you would query your database for actual loan data
            current_date = datetime.now()
            loan_date = (current_date - timedelta(days=30)).strftime("%Y-%m-%d %H:%M:%S.%f")[:-3]
            due_date = (current_date + timedelta(days=30)).strftime("%Y-%m-%d %H:%M:%S.%f")[:-3]

            # Sample loan data
            loan_data = {
                "debtId": "123456789",
                "loanDate": loan_date,
                "dueDate": due_date,
                "currentLoanAmount": 8500.0,
                "initialLoanAmount": 10000.0,
                "defaultPenaltyFee": 0.0,
                "continuousFee": 0.0,
                "productId": "101"
            }

            # Create response with the loan data
            response_data = {
                "customerId": validated_data.get('customerId'),
                "transactionId": validated_data.get('transactionId'),
                "loans": [loan_data],  # Array with one loan
                "totalDebtAmount": 8500.0,  # Same as currentLoanAmount for this example
                "resultCode": "00",
                "resultDescription": "Successful"
            }

            # Validate the response using the response schema
            response_schema = LoanStatusResponseSchema()
            validated_response = response_schema.dump(response_data)

            return jsonify(validated_response)

        except ValidationError as err:
            logger.error(f"Validation Error: {err.messages}")
            return jsonify({
                "resultCode": "01",
                "resultDescription": f"Validation error: {err.messages}"
            }), 422

        except Exception as e:
            logger.error(f"An error occurred: {str(e)}", exc_info=True)
            return jsonify({
                "resultCode": "08",
                "resultDescription": f"Error occurred: {str(e)}"
            }), 500