Update memory bank with API testing fixes
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- ✅ Implemented a manual testing script using curl commands
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- ✅ Added test documentation with instructions for running tests and troubleshooting
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- ✅ Set up test database isolation to avoid affecting production data
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- ✅ Fixed deprecated Pydantic features to ensure tests run correctly
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- ✅ Replaced dict() with model_dump() in API routes
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- ✅ Updated orm_mode to from_attributes in schema classes
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- ✅ Changed schema_extra to json_schema_extra in schema classes
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### LLM-Based Query Domain Classification
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- ✅ Implemented LLM-based query domain classification to replace keyword-based approach
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## Recent Changes
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### API Testing Fixes
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- Fixed deprecated Pydantic features to ensure tests run correctly
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- Replaced dict() with model_dump() in API routes
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- Updated orm_mode to from_attributes in schema classes
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- Changed schema_extra to json_schema_extra in schema classes
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- Made test scripts executable for easier running
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- Committed changes with message "Fix deprecated Pydantic features: replace dict() with model_dump(), orm_mode with from_attributes, and schema_extra with json_schema_extra"
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### API Testing Implementation
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- Created comprehensive test suite for the API using pytest
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- Implemented test fixtures for database initialization and user authentication
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## Next Steps
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1. Run the API tests to verify that the API is working correctly
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2. Fix any issues found during testing
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1. Continue testing the API to ensure all endpoints work correctly
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2. Fix any remaining issues found during testing
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3. Add more specific tests for edge cases and error handling
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4. Integrate the tests into a CI/CD pipeline
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5. Create a React frontend to consume the FastAPI backend
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### Current Tasks
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1. **API Testing**:
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- Run the API tests to verify that the API is working correctly
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- Fix any issues found during testing
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- Continue testing the API to ensure all endpoints work correctly
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- Fix any remaining issues found during testing
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- Add more specific tests for edge cases and error handling
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- Integrate the tests into a CI/CD pipeline
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- Implemented a manual testing script using curl commands
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- Added test documentation with instructions for running tests and troubleshooting
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- Set up test database isolation to avoid affecting production data
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- Fixed deprecated Pydantic features to ensure tests run correctly
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