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Update memory bank with API testing implementation details

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Steve White 2025-03-20 17:18:51 -05:00
parent 72d8723dc8
commit 42eb59bdfe
2 changed files with 92 additions and 13 deletions
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.note/current_focus.md
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# Current Focus: FastAPI Implementation, LLM-Based Query Classification, and Progressive Report Generation
# Current Focus: FastAPI Implementation, API Testing, and Progressive Report Generation
## Active Work
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- ✅ Implemented JWT-based authentication
- ✅ Added OpenAPI documentation endpoints
### API Testing
- ✅ Created comprehensive test suite for the API using pytest
- ✅ Implemented test fixtures for database initialization and user authentication
- ✅ Added tests for authentication, query processing, search execution, and report generation
- ✅ Created a test runner script with options for verbosity, coverage reporting, and test selection
- ✅ Implemented a manual testing script using curl commands
- ✅ Added test documentation with instructions for running tests and troubleshooting
- ✅ Set up test database isolation to avoid affecting production data
### LLM-Based Query Domain Classification
- ✅ Implemented LLM-based query domain classification to replace keyword-based approach
- ✅ Added `classify_query_domain` method to `LLMInterface` class
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## Recent Changes
### API Testing Implementation
- Created comprehensive test suite for the API using pytest
- Implemented test fixtures for database initialization and user authentication
- Added tests for authentication, query processing, search execution, and report generation
- Created a test runner script with options for verbosity, coverage reporting, and test selection
- Implemented a manual testing script using curl commands
- Added test documentation with instructions for running tests and troubleshooting
- Set up test database isolation to avoid affecting production data
### FastAPI Implementation
- Created a new `sim-search-api` directory for the FastAPI application
- Implemented a layered architecture with API, service, and data layers
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## Next Steps
1. Test the FastAPI implementation to ensure it works correctly with the existing sim-search functionality
2. Create a React frontend to consume the FastAPI backend
3. Implement user management in the frontend
4. Add search history and report management to the frontend
5. Implement real-time progress tracking for report generation in the frontend
6. Add visualization components for reports in the frontend
7. Run comprehensive tests to ensure all functionality works with the new API
8. Update any remaining documentation to reflect the new API
9. Consider adding more API endpoints for additional functionality
1. Run the API tests to verify that the API is working correctly
2. Fix any issues found during testing
3. Add more specific tests for edge cases and error handling
4. Integrate the tests into a CI/CD pipeline
5. Create a React frontend to consume the FastAPI backend
6. Implement user management in the frontend
7. Add search history and report management in the frontend
8. Implement real-time progress tracking for report generation in the frontend
9. Add visualization components for reports in the frontend
10. Consider adding more API endpoints for additional functionality
### Future Enhancements
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### Current Tasks
1. **Report Generation Module Implementation (Phase 4)**:
1. **API Testing**:
- Run the API tests to verify that the API is working correctly
- Fix any issues found during testing
- Add more specific tests for edge cases and error handling
- Integrate the tests into a CI/CD pipeline
2. **Report Generation Module Implementation (Phase 4)**:
- Implementing support for alternative models with larger context windows
- Implementing progressive report generation for very large research tasks
- Creating visualization components for data mentioned in reports
- Adding interactive elements to the generated reports
- Implementing report versioning and comparison
2. **Integration with UI**:
3. **Integration with UI**:
- ✅ Adding report generation options to the UI
- ✅ Implementing progress indicators for document scraping and report generation
- ✅ Adding query type selection to the UI
- Creating visualization components for generated reports
- Adding options to customize report generation parameters
3. **Performance Optimization**:
4. **Performance Optimization**:
- Optimizing token usage for more efficient LLM utilization
- Implementing caching strategies for document scraping and LLM calls
- Parallelizing document scraping and processing
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- Set up database migrations with Alembic
- Added comprehensive documentation for the API
- Implemented OpenAPI documentation endpoints
- Created comprehensive testing framework for the API:
- Implemented automated tests with pytest for all API endpoints
- Created a test runner script with options for verbosity and coverage reporting
- Implemented a manual testing script using curl commands
- Added test documentation with instructions for running tests and troubleshooting
- Set up test database isolation to avoid affecting production data

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.note/session_log.md
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# Session Log
## Session: 2025-03-20 - API Testing Implementation
### Overview
Created a comprehensive testing framework for the sim-search API, including automated tests with pytest, a test runner script, and a manual testing script using curl commands.
### Key Activities
1. **Created Automated API Tests**:
- Implemented `test_api.py` with pytest to test all API endpoints
- Created tests for authentication, query processing, search execution, and report generation
- Set up test fixtures for database initialization and user authentication
- Implemented test database isolation to avoid affecting production data
2. **Developed Test Runner Script**:
- Created `run_tests.py` to simplify running the tests
- Added command-line options for verbosity, coverage reporting, and test selection
- Implemented clear output formatting for test results
3. **Created Manual Testing Script**:
- Implemented `test_api_curl.sh` for manual testing with curl commands
- Added tests for all API endpoints with proper authentication
- Implemented colorized output for better readability
- Added error handling and dependency checks between tests
4. **Added Test Documentation**:
- Created a README.md file for the tests directory
- Documented how to run the tests using different methods
- Added troubleshooting information for common issues
### Insights
- The FastAPI TestClient provides a convenient way to test API endpoints without starting a server
- Using a separate test database ensures that tests don't affect production data
- Pytest fixtures are useful for setting up and tearing down test environments
- Manual testing with curl commands is useful for debugging and understanding the API
### Challenges
- Ensuring proper authentication for all API endpoints
- Managing dependencies between tests (e.g., needing a search ID to generate a report)
- Setting up a clean test environment for each test run
- Handling asynchronous operations in tests
### Next Steps
1. Run the tests to verify that the API is working correctly
2. Fix any issues found during testing
3. Add more specific tests for edge cases and error handling
4. Integrate the tests into a CI/CD pipeline
5. Add performance tests for the API
6. Consider adding integration tests with the frontend
## Session: 2025-03-20 - FastAPI Backend Implementation
### Overview