72 lines
2.4 KiB
Python
72 lines
2.4 KiB
Python
from flask import request, jsonify
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from marshmallow import ValidationError
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from app.utils.logger import logger
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from app.api.schemas.rac_check import RACCheckSchema, RACCheckResponseSchema
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class RACCheckService:
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@staticmethod
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def process_request(data):
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"""
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Process the RACCheck request.
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Args:
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data (dict): The request data.
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Returns:
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dict: A standardized response.
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"""
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try:
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logger.info("Processing RACCheck request")
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# Validate input data using RACCheckSchema
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schema = RACCheckSchema()
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validated_data = schema.load(data) # Raises ValidationError if invalid
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# Simulated processing logic
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# In a real implementation, this would interact with your business logic
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# to check the RAC criteria
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# For demonstration, we'll simulate all checks passing
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rac_response = {
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"Salary account": "1",
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"BVN": "1",
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"BVNAttachedToAccount": "1",
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"CRMS": "1",
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"CRC": "1",
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"AccountStatus": "1",
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"Lien": "1",
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"NoBouncedCheck": "1",
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"Whitelist": "1",
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"NoPastDueSalaryLoan": "1",
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"NoPastDueOtherLoan": "1"
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}
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response_data = {
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"transactionId": validated_data.get('transactionId'),
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"customerId": validated_data.get('customerId'),
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"accountId": validated_data.get('accountId'),
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"RACResponse": rac_response,
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"resultCode": "00",
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"resultDescription": "RAC Check Successful"
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}
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# Validate the response using the response schema
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response_schema = RACCheckResponseSchema()
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validated_response = response_schema.dump(response_data)
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return jsonify(validated_response)
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except ValidationError as err:
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logger.error(f"Validation Error: {err.messages}")
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return jsonify({
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"resultCode": "01",
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"resultDescription": f"Validation error: {err.messages}"
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}), 422
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except Exception as e:
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logger.error(f"An error occurred: {str(e)}", exc_info=True)
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return jsonify({
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"resultCode": "08",
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"resultDescription": f"Error occurred: {str(e)}"
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}), 500 |