Azeez Muibi
78 lines
2.7 KiB
Python
78 lines
2.7 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.bulk_sms import BulkSMSSchema, BulkSMSResponseSchema
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class BulkSMSService:
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@staticmethod
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def process_request(data):
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"""
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Process the BulkSMS request.
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Args:
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data (list): The request data as a list of SMS items.
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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 BulkSMS request")
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# Check if the data is a list and not too large
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if not isinstance(data, list):
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return jsonify({
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"data": "",
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"statusCode": 400,
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"IsSuccessful": False,
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"errorMessage": "Request must be a list of SMS items"
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}), 400
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if len(data) > 20:
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return jsonify({
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"data": "",
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"statusCode": 400,
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"IsSuccessful": False,
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"errorMessage": "Maximum of 20 SMS items allowed"
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}), 400
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# Validate each item in the list
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schema = BulkSMSSchema()
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# We need to wrap the list in a dictionary with a key that matches the schema field name
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validated_data = schema.load({"_schema": 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 send bulk SMS messages to customers
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# For demonstration, we'll simulate a successful bulk SMS send
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response_data = {
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"data": "",
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"statusCode": 200,
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"IsSuccessful": True,
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"errorMessage": None
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}
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# Validate the response using the response schema
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response_schema = BulkSMSResponseSchema()
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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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"data": "",
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"statusCode": 400,
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"IsSuccessful": False,
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"errorMessage": f"Validation error: {err.messages}"
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}), 400
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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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"data": "",
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"statusCode": 500,
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"IsSuccessful": False,
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"errorMessage": f"Error occurred: {str(e)}"
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}), 500 |