Azeez Muibi
81 lines
2.5 KiB
Python
81 lines
2.5 KiB
Python
"""
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Controller for Risk Acceptance Criteria check endpoints.
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"""
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from flask import Blueprint, request, jsonify
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from api.middleware import api_key_required
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from api.models import RACCheckRequest, RACCheckResponse, RACResponse
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import logging
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# Configure logger
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logger = logging.getLogger(__name__)
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# Create blueprint
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rac_bp = Blueprint('rac', __name__)
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@rac_bp.route('/RACCheck', methods=['POST'])
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@api_key_required
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def rac_check():
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"""
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Endpoint to check if a customer passes the Risk Acceptance Criteria.
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This method evaluates a customer against the bank's risk criteria.
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Returns:
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JSON response with RAC check results
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"""
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try:
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# Parse and validate request
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data = request.get_json()
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if not data:
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return jsonify({
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'resultCode': '400',
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'resultDescription': 'Invalid JSON payload'
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}), 400
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# Validate required fields
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required_fields = ['transactionId', 'fbnTransactionId', 'customerId',
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'accountId', 'RAC_Array']
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for field in required_fields:
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if field not in data:
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return jsonify({
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'resultCode': '422',
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'resultDescription': f'Missing required field: {field}'
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}), 422
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# Create request model
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req = RACCheckRequest.from_dict(data)
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# Process RAC check (this would connect to the business logic)
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# For demonstration, we'll return a mock response with all checks passing
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# Create RAC response object
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rac_response = RACResponse(
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SalaryAccount="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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NoBounchedCheck="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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# Create response
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response = RACCheckResponse(
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RACResponse=rac_response.to_dict(),
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resultCode="00",
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resultDescription="RAC Check Successful"
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)
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logger.info(f"Processed RAC check for customer {req.customerId}")
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return jsonify(response.to_dict())
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except Exception as e:
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logger.error(f"Error processing RAC check: {str(e)}")
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return jsonify({
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'resultCode': '500',
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'resultDescription': 'Internal server error'
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}), 500 |