ndhanvina/simple-sentiment-analysis-ml

Implement unit tests and testing framework

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#5 geöffnet am 02.08.2025

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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.py
    • tests/test_model.py
    • tests/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.ini or pyproject.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

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