feat: Set up comprehensive Python testing infrastructure with Poetry

[llbbl]

Add Python Testing Infrastructure

Summary

This PR sets up a comprehensive testing infrastructure for the AutoSlim project using Poetry as the package manager and pytest as the testing framework. The setup provides a solid foundation for writing and maintaining tests throughout the project.

Changes Made

Package Management

• Poetry Configuration: Added pyproject.toml with Poetry setup as the primary package manager
• Testing Dependencies: Added pytest, pytest-cov, and pytest-mock as development dependencies

Testing Configuration

• pytest Configuration: Configured in pyproject.toml with:

  • Test discovery patterns for test_*.py and *_test.py files
  • Coverage reporting with HTML and XML output formats
  • Custom markers for unit, integration, and slow tests
  • Strict configuration and verbose output

• Coverage Settings:

  • Configured to cover models and utils directories
  • Excluded test files, cache, and site-packages from coverage
  • Coverage threshold currently set to 0% (should be increased as tests are added)

Directory Structure

tests/
├── __init__.py
├── conftest.py
├── test_setup_validation.py
├── unit/
│   └── __init__.py
└── integration/
    └── __init__.py

Test Fixtures (conftest.py)

Created comprehensive fixtures including:

• temp_dir: Temporary directory management
• mock_config: Mock configuration objects
• mock_model: Mock PyTorch model
• sample_data: Sample tensor data (with fallback for non-torch environments)
• mock_dataset & mock_dataloader: Mock data loading utilities
• mock_optimizer & mock_loss_function: Mock training utilities
• mock_meter: Mock metrics tracking
• capture_stdout: Stdout capture for testing print statements
• mock_file_system: Mock file system structure
• environment_variables: Test environment setup

Additional Setup

• Updated .gitignore with:

  • Testing artifacts (.pytest_cache/, .coverage, htmlcov/, coverage.xml)
  • Claude settings (.claude/*)
  • Python artifacts, virtual environments, IDE files, and OS files

• Added validation tests to ensure the infrastructure works correctly

How to Use

Running Tests

You can run tests using either of these commands:

poetry run test
poetry run tests

Both commands are configured and will execute the same pytest runner.

Running Specific Test Types

# Run only unit tests
poetry run pytest -m unit

# Run only integration tests  
poetry run pytest -m integration

# Run tests excluding slow ones
poetry run pytest -m "not slow"

Coverage Reports

After running tests, coverage reports are available in:

• Terminal: Shown directly in the output
• HTML: Open htmlcov/index.html in a browser
• XML: Available at coverage.xml for CI/CD integration

Next Steps

1. Increase Coverage Threshold: Currently set to 0% in pyproject.toml. As tests are added, increase the --cov-fail-under value to maintain code quality.

2. Write Tests: The infrastructure is ready. Developers can now:

   • Add unit tests in tests/unit/
   • Add integration tests in tests/integration/
   • Use the fixtures from conftest.py for common testing scenarios

3. CI/CD Integration: The setup is compatible with most CI/CD systems. The XML coverage report can be used for coverage tracking in CI pipelines.

Notes

• The sample_data fixture gracefully handles environments without PyTorch installed
• All validation tests pass, confirming the infrastructure is properly configured
• Poetry lock file should be committed to ensure consistent dependencies across environments