feat: Set up comprehensive Python testing infrastructure

[llbbl]

Set up Python Testing Infrastructure

Summary

This PR establishes a complete testing infrastructure for the Home Assistant Tion BTLE custom component project using Poetry as the package manager.

Changes Made

• Package Management: Configured Poetry with pyproject.toml including project metadata and dependencies

• Testing Dependencies: Added core testing packages:

  • pytest (^8.0.0) - Main testing framework
  • pytest-cov (^4.0.0) - Coverage reporting
  • pytest-mock (^3.12.0) - Mocking utilities
  • pytest-asyncio (^0.23.0) - Async testing support

• Testing Configuration: Comprehensive pytest configuration in pyproject.toml:

  • Test discovery patterns for files, classes, and functions
  • Coverage settings with 80% threshold requirement
  • HTML and XML coverage report generation
  • Custom test markers: unit, integration, slow
  • Async testing mode set to auto

• Directory Structure:

  tests/
  ├── __init__.py
  ├── conftest.py          # Shared fixtures
  ├── test_validation.py   # Infrastructure validation tests
  ├── unit/
  │   └── __init__.py
  └── integration/
      └── __init__.py
  

• Shared Fixtures: Created comprehensive fixtures in conftest.py:

  • temp_dir - Temporary directory for test files
  • mock_config_entry - Mock Home Assistant config entry
  • mock_hass - Mock Home Assistant instance
  • mock_ble_device - Mock Bluetooth device
  • mock_tion_device - Mock Tion device with realistic responses
  • sample_device_data - Realistic test data

• Development Scripts: Poetry commands for easy testing:

  • poetry run test - Run all tests
  • poetry run tests - Alternative command (both work identically)

• Git Configuration: Updated .gitignore with:

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

Instructions for Running Tests

1. Install dependencies:

   poetry install
   

2. Run all tests:

   poetry run test
   # or
   poetry run tests
   

3. Run specific test categories:

   poetry run pytest -m unit          # Unit tests only
   poetry run pytest -m integration   # Integration tests only
   poetry run pytest -m "not slow"    # Exclude slow tests
   

4. Generate coverage reports:

   poetry run pytest --cov-report=html  # HTML report in htmlcov/
   poetry run pytest --cov-report=xml   # XML report for CI
   

5. Run with different verbosity:

   poetry run pytest -v     # Verbose
   poetry run pytest -vv    # Very verbose
   poetry run pytest -q     # Quiet
   

Validation

The setup includes validation tests (tests/test_validation.py) that verify:

• ✅ Project structure exists correctly
• ✅ Basic imports work (where dependencies are available)
• ✅ Pytest configuration is working
• ✅ Custom test markers function properly
• ✅ Shared fixtures are accessible
• ✅ Async testing capabilities work
• ✅ Coverage reporting generates properly

Test Results: All 9 validation tests pass, confirming the testing infrastructure is ready for use.

Configuration Choices

• Poetry over pip: Chosen for better dependency management and lock file support
• Coverage threshold: Set to 80% to ensure good test coverage without being overly restrictive
• Test markers: Added unit, integration, and slow for flexible test categorization
• Async support: Enabled automatic async test handling for Home Assistant's async nature
• Multiple output formats: Coverage reports in both HTML (development) and XML (CI) formats

Next Steps

Developers can now:

1. Write unit tests in tests/unit/
2. Write integration tests in tests/integration/
3. Use the provided fixtures for consistent test setup
4. Run tests locally with immediate feedback
5. Generate coverage reports to identify untested code

The testing infrastructure is production-ready and follows Python testing best practices.