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Title: feat: Set up comprehensive Python testing infrastructure by llbbl · Pull Request #2 · GeospatialPython/Learn · GitHub

Open Graph Title: feat: Set up comprehensive Python testing infrastructure by llbbl · Pull Request #2 · GeospatialPython/Learn

X Title: feat: Set up comprehensive Python testing infrastructure by llbbl · Pull Request #2 · GeospatialPython/Learn

Description: Set up comprehensive Python testing infrastructure Summary This PR establishes a complete testing infrastructure for the GIS Python tools project, providing developers with a ready-to-use testing environment that follows Python best practices. Changes Made Package Management ✅ Poetry Setup: Configured Poetry as the package manager with pyproject.toml ✅ Dependency Management: Added testing dependencies as dev dependencies: pytest ^7.4.0 - Main testing framework pytest-cov ^4.1.0 - Coverage reporting pytest-mock ^3.11.1 - Mocking utilities Testing Configuration ✅ Pytest Configuration: Comprehensive pytest setup in pyproject.toml including: Test discovery patterns (test_*.py, *_test.py) Custom markers: unit, integration, slow Strict configuration for better test reliability Test path configuration pointing to tests/ directory ✅ Coverage Configuration: Configured coverage reporting with: 80% coverage threshold (configurable) HTML and XML report generation Source code inclusion/exclusion patterns Exclusion of test files, virtual environments, and common non-source files Directory Structure tests/ ├── __init__.py ├── conftest.py # Shared fixtures ├── unit/ │ └── __init__.py ├── integration/ │ └── __init__.py └── test_infrastructure_validation.py # Validation tests Shared Testing Fixtures Created comprehensive conftest.py with fixtures for: File Operations: temp_dir, temp_file, mock_file_system GIS Data: sample_geojson_data, sample_csv_data, sample_coordinates, sample_polygon_coords Mocking: mock_logger, mock_config, mock_shapefile, mock_gdal_dataset, mock_qgis Environment: clean_environment, test_data_dir Data Types: sample_raster_data with NumPy array support Development Environment ✅ .gitignore: Comprehensive exclusions for: Testing artifacts (.pytest_cache/, .coverage, htmlcov/, coverage.xml) Claude Code settings (.claude/) Python artifacts (__pycache__/, *.pyc, build directories) Virtual environments and IDE files Geospatial data files (with exceptions for test data) Validation Tests ✅ Infrastructure Validation: Created comprehensive test suite to verify: Basic pytest functionality All fixture functionality Custom marker usage (unit, integration, slow) Mocking capabilities File operations and temporary directory handling Parametrized testing Exception handling Testing Instructions Running Tests # Install dependencies (first time only) poetry install # Run all tests poetry run pytest # Run with coverage poetry run pytest --cov=. --cov-report=html --cov-report=xml # Run specific test types poetry run pytest -m unit # Unit tests only poetry run pytest -m integration # Integration tests only poetry run pytest -m slow # Slow tests only poetry run pytest -m "not slow" # Exclude slow tests # Verbose output poetry run pytest -v # Run specific test file poetry run pytest tests/test_infrastructure_validation.py Coverage Reports HTML Report: Open htmlcov/index.html in browser XML Report: Available at coverage.xml Terminal: Coverage summary displayed after test run Validation Results ✅ 26/26 tests passing in validation suite ✅ All fixtures working correctly ✅ Coverage reporting functional (HTML + XML) ✅ Custom markers working (unit, integration, slow) ✅ Mocking capabilities verified (pytest-mock) Development Notes Poetry Lock File: The poetry.lock file is intentionally not in .gitignore to ensure reproducible builds Coverage Threshold: Set to 80% but can be adjusted in pyproject.toml under [tool.coverage.report] Test Discovery: Configured to automatically discover tests following naming conventions Fixture Scope: Most fixtures use function scope; test_data_dir uses session scope for performance Ready for Development The testing infrastructure is now complete and ready for developers to: Write unit tests in tests/unit/ Write integration tests in tests/integration/ Use shared fixtures from conftest.py Generate coverage reports to track test coverage Use custom markers to organize and filter tests All testing best practices are implemented and the infrastructure has been thoroughly validated.

Open Graph Description: Set up comprehensive Python testing infrastructure Summary This PR establishes a complete testing infrastructure for the GIS Python tools project, providing developers with a ready-to-use testing e...

X Description: Set up comprehensive Python testing infrastructure Summary This PR establishes a complete testing infrastructure for the GIS Python tools project, providing developers with a ready-to-use testing e...

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