Project Specification: Payment Integration Endpoint
Objective: Develop a backend system that enables customers to make payments using credit cards, WeChat Pay, Alipay, and QR codes. The system will log transactions in DynamoDB, verify order accuracy via a cost calculation endpoint, and be implemented using Python 3.12 on AWS Lambda, managed with the Serverless Application Model (SAM).
Scope:
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Payment Processing:
- Payment Methods:
- Credit Cards
- WeChat Pay
- Alipay
- QR Code Payments
- Integration:
- Utilize Kasikornbank's (KBank) Create Charge API to process payments.
- Ensure compliance with KBank's API specifications and security requirements.
- Payment Methods:
-
Transaction Logging:
- Database:
- Use Amazon DynamoDB to store transaction logs.
- Data Logged:
- Transaction ID
- Payment Method
- Amount
- Currency
- Timestamp
- Customer Details (as permitted by privacy regulations)
- Access Patterns:
- Design DynamoDB tables to efficiently handle anticipated query patterns.
- Database:
-
Order Verification:
- Cost Calculation Endpoint:
- Implement a call to an external endpoint to verify the correctness of each order before processing the payment.
- Validation:
- Ensure the order details match the calculated costs to prevent discrepancies.
- Cost Calculation Endpoint:
-
Architecture:
- Backend:
- Develop using Python 3.12.
- Deploy on AWS Lambda for serverless execution.
- Deployment:
- Utilize AWS Serverless Application Model (SAM) for infrastructure as code.
- Scalability:
- Design the system to handle varying loads efficiently, leveraging AWS's scalable services.
- Backend:
-
Security and Compliance:
- Data Protection:
- Ensure all sensitive data is encrypted at rest and in transit.
- Compliance:
- Adhere to relevant financial regulations and standards, such as PCI DSS.
- Authentication:
- Implement secure authentication mechanisms for API interactions.
- Data Protection:
-
Integration with Clients:
- API Endpoints:
- Develop RESTful APIs to be consumed by web and mobile clients.
- Documentation:
- Provide clear API documentation for client integration.
- Error Handling:
- Implement comprehensive error handling to ensure robustness and provide meaningful feedback to clients.
- API Endpoints:
-
Testing and Quality Assurance:
- Unit Testing:
- Write tests for individual components to ensure functionality.
- Integration Testing:
- Test the complete workflow, including payment processing, logging, and order verification.
- Performance Testing:
- Assess the system's performance under various load conditions to ensure reliability.
- Unit Testing:
-
Deployment and Monitoring:
- Continuous Deployment:
- Set up a CI/CD pipeline for automated testing and deployment.
- Monitoring:
- Implement monitoring tools to track system health, performance, and security.
- Logging:
- Ensure all system activities are logged for auditing and troubleshooting purposes.
- Continuous Deployment:
References:
- KBank Create Charge API Documentation:
- AWS Serverless Application Model (SAM):
- DynamoDB with AWS SAM Guide:
Assumptions:
- The web and mobile clients are developed separately and will interact with the backend via the provided APIs.
- All necessary access credentials and API keys for KBank's services are available.
- The cost calculation endpoint is accessible and provides accurate order validations.
Deliverables:
- Fully functional backend system deployed on AWS.
- API documentation for client integration.
- Test reports demonstrating system reliability and performance.
- Deployment scripts and configuration files managed via SAM.
Timeline:
Note: This 14-day timeline assumes the project is partially completed and focuses on the remaining tasks.
-
Day 1-2 (December 17-18):
- Review existing implementation to assess current status.
- Identify and document remaining tasks and any issues.
- Set up the development environment, including AWS SAM and necessary AWS services.
-
Day 3-4 (December 19-20):
- Implement payment processing for WeChat Pay and Alipay using KBank's Create Charge API.
- Ensure compliance with KBank's API specifications and security requirements.
-
Day 5-6 (December 21-22):
- Develop QR code payment processing functionality.
- Integrate QR code payments into the existing payment processing workflow.
-
Day 7-8 (December 23-24):
- Implement transaction logging in DynamoDB.
- Design DynamoDB tables to handle anticipated query patterns efficiently.
- Ensure all necessary transaction details are logged appropriately.
-
Day 9-10 (December 25-26):
- Integrate the cost calculation endpoint to verify order accuracy before processing payments.
- Implement validation to ensure order details match calculated costs.
-
Day 11-12 (December 27-28):
- Conduct unit and integration testing for all implemented functionalities.
- Perform performance testing to assess system reliability under various load conditions.
-
Day 13 (December 29):
- Set up a CI/CD pipeline for automated testing and deployment.
- Implement monitoring tools to track system health, performance, and security.
-
Day 14 (December 30):
- Prepare API documentation for client integration.
- Review and finalize deployment scripts and configuration files managed via SAM.
- Deploy the fully functional backend system to AWS.
This timeline ensures that all critical components are addressed systematically, leading to a robust and efficient payment integration endpoint within the 14-day period.
Risks and Mitigations:
- API Changes: Monitor KBank's API for any updates to ensure compatibility.
- Security Threats: Regularly update dependencies and conduct security audits.
- Scalability Issues: Design the system to be stateless and leverage AWS services for scaling.
This specification outlines the development of a robust payment integration endpoint, ensuring secure and efficient processing of various