Week 12 Worklog

Week 12 Objectives:

• Load testing and system performance optimization
• Improve accuracy of Voice and OCR models
• Enhance security and comprehensive error handling
• Implement advanced logging and metrics collection
• Prepare for deployment and final testing
• Improve code quality and documentation

Tasks to be carried out this week:

Week 12 Achievements:

1. Load Testing and Optimization

Load Testing Setup:

• Installed load testing tools (JMeter/Locust)
• Created load testing scenarios (Voice, Bill, concurrent)
• Setup resource monitoring (CPU, RAM, Disk I/O)
• Prepared test data

Running Load Tests:

• Tested Voice load (10 files concurrently)
• Tested Bill OCR load (10 files concurrently)
• Tested concurrent load for both Voice and Bill
• Analyzed bottlenecks and chokepoints

Optimization:

• Optimized Database queries and indexing
• Implemented caching for results
• Optimized memory and garbage collection
• Improved API response time

2. Accuracy Improvements

Voice Accuracy:

• Analyzed failure cases
• Improved NLP rules for Vietnamese
• Tested and iterated
• Enhanced accuracy for number and category recognition

OCR Accuracy:

• Analyzed OCR failure cases
• Format-specific improvements for bills
• Improved special character recognition
• Handled difficult font cases

Amount Parsing:

• Handled ambiguous cases
• Validation logic for amounts
• Total amount extraction
• Total validation logic

3. Security Enhancements

File Security:

• File upload validation (file type, size validation)
• Rate limiting for APIs
• Input sanitization
• JWT token validation
• MongoDB security (authentication, authorization)
• Completed security checklist

Error Handling:

• Comprehensive Try-Catch for all functions
• Appropriate HTTP status codes
• Clear and helpful error messages
• Logging with full context

Robustness Testing:

• Tested Voice with corrupted/invalid files
• Tested OCR with corrupted/invalid images
• Handled graceful degradation

4. Logging and Metrics

Enhanced Logging:

• Structured JSON logging
• Logging for each HTTP request
• Processing step logs with timestamps
• Error logging with stack traces
• Correlation IDs for tracking request flow

Metrics Collection:

• Tracked processing time
• Accuracy and error rates
• Stored metrics in MongoDB
• Created API endpoints for metrics
• Dashboard for monitoring

5. Deployment Preparation

• Prepared Voice service deployment
• Prepared OCR service deployment
• Docker configuration and optimization
• Environment variables and secrets management
• Health check endpoints

6. Comprehensive Testing and Code Quality

Comprehensive Testing:

• Full regression testing
• Tested all error scenarios
• UI integration testing (frontend integration)
• Backend integration testing
• End-to-end testing

Code Quality:

• Added docstrings for all functions/classes
• Added type hints (Python typing)
• Ran Linter (Pylint/Flake8) and fixed issues
• Added unit tests for critical functions
• Code review and refactoring

Summary: Week 12 focused on finalizing and making the AI system production-ready. Successfully performed load testing and performance optimization, significantly improved accuracy of both Voice and OCR models. Implemented comprehensive security with file validation, rate limiting, JWT authentication, and MongoDB security. Deployed structured logging and metrics collection for monitoring. Enhanced code quality with docstrings, type hints, linting, and unit tests. The system is now ready for production deployment with robust error handling and comprehensive testing.