ndhanvina/simple-sentiment-analysis-ml
Implement unit tests and testing framework
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#5 geöffnet am 02.08.2025
good first issuequality assurancetesting
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Beschreibung
Task Description
Implement comprehensive unit tests to ensure code reliability and maintainability.
Requirements
- Set up pytest testing framework
- Create test files for all main modules:
tests/test_data_preprocessing.pytests/test_model.pytests/test_utils.py
- Implement test cases covering:
- Data loading and validation
- Text preprocessing functions
- Model training and prediction
- Error handling scenarios
- Edge cases
Test Coverage Areas
Data Preprocessing Tests
- Test text cleaning functions with various inputs
- Test preprocessing pipeline with edge cases
- Test data loading with valid/invalid files
- Test data statistics calculation
Model Tests
- Test model initialization
- Test training with different datasets
- Test prediction functionality
- Test model save/load operations
- Test evaluation metrics calculation
Integration Tests
- Test end-to-end pipeline
- Test model comparison functionality
- Test with different data formats
Testing Framework Setup
- Add pytest to requirements.txt
- Create pytest configuration file (
pytest.iniorpyproject.toml) - Set up test data fixtures
- Configure test coverage reporting
Acceptance Criteria
- All test files are created and properly structured
- Test coverage is at least 80%
- All tests pass successfully
- Tests include both positive and negative test cases
- Mock objects are used appropriately for external dependencies
- Test data fixtures are properly set up
- CI/CD integration is considered (GitHub Actions workflow)
- Tests are well-documented with clear descriptions