8000 feat: Set up comprehensive Python testing infrastructure by llbbl · Pull Request #314 · hayaku/hayaku · GitHub
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feat: Set up comprehensive Python testing infrastructure #314

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feat: Set up comprehensive Python testing infrastructure #314

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@llbbl llbbl commented Jun 20, 2025

Add Python Testing Infrastructure

Summary

This PR sets up a comprehensive testing infrastructure for the Hayaku project using Poetry, pytest, and related testing tools. The setup provides a foundation for writing unit and integration tests with proper mocking support for Sublime Text components.

Changes Made

Package Management

  • Configured Poetry as the package manager with package-mode = false (since this is a Sublime Text plugin)
  • Created pyproject.toml with all necessary configuration
  • Added testing dependencies as development dependencies

Testing Framework

  • pytest - Main testing framework
  • pytest-cov - Coverage reporting with 80% threshold
  • pytest-mock - Mocking utilities for test isolation

Configuration

  • Comprehensive pytest configuration in pyproject.toml:
    • Test discovery patterns
    • Coverage settings with HTML and XML reports
    • Custom test markers (unit, integration, slow)
    • Strict mode enabled for better error detection

Directory Structure

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

Testing Fixtures

Created comprehensive fixtures in conftest.py:

  • temp_dir - Temporary directory management
  • mock_sublime - Mocked Sublime Text API
  • mock_view - Mocked View objects
  • sample_css_dict - Sample CSS data for testing
  • mock_settings - Hayaku settings configuration
  • temp_css_file - Temporary CSS file creation
  • And more...

Other Updates

  • Updated .gitignore with Python and testing-related patterns
  • Added validation tests to ensure the infrastructure works correctly
  • Created testing README with usage instructions

How to Use

  1. Install dependencies:

    poetry install --no-root

  2. Run tests:

    # Run all tests
poetry run pytest

# Run with coverage
poetry run pytest --cov

# Run specific markers
poetry run pytest -m unit
poetry run pytest -m integration

  3. View coverage report:

    # Open htmlcov/index.html in browser

Notes

  • The project is configured with package-mode = false in Poetry since this is a Sublime Text plugin that doesn't need to be packaged as a Python library
  • Coverage warnings about "no data collected" are expected when running infrastructure validation tests only
  • The 80% coverage threshold has been temporarily removed from the default options but can be enforced with --cov-fail-under=80
  • All test commands support standard pytest options for filtering, verbosity, etc.

Next Steps

With this infrastructure in place, developers can now:

  1. Write unit tests for individual components
  2. Create integration tests for feature workflows
  3. Mock Sublime Text API interactions effectively
  4. Track test coverage to ensure code quality

@llbbl
feat: Set up comprehensive Python testing infrastructure
9d27b3f 
- Configure Poetry for dependency management with package-mode=false
- Add pytest, pytest-cov, and pytest-mock as dev dependencies
- Create pytest configuration with coverage reporting and test markers
- Set up testing directory structure with unit/integration separation
- Add shared fixtures for mocking Sublime Text components
- Update .gitignore with testing and Python-related entries
- Create validation tests to verify infrastructure setup
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