🧪 Testing Framework
Content Outline
Comprehensive guide to PyMapGIS testing philosophy, tools, and practices:
1. Testing Philosophy
- Test-driven development approach
- Testing pyramid (unit, integration, end-to-end)
- Quality assurance standards
- Continuous testing practices
2. Test Categories
- Unit Tests: Individual function and class testing
- Integration Tests: Module interaction testing
- End-to-End Tests: Complete workflow testing
- Performance Tests: Benchmarking and optimization
- Regression Tests: Preventing feature breakage
- pytest configuration and usage
- Test fixtures and data management
- Mocking and stubbing strategies
- Coverage measurement and reporting
- Parallel test execution
4. Test Data Management
- Sample data creation and management
- Mock data source implementations
- Test data versioning and updates
- Large dataset testing strategies
- Geospatial test data best practices
5. Geospatial Testing Specifics
- Geometry comparison and validation
- Coordinate system testing
- Spatial operation verification
- Raster data testing approaches
- Visualization testing strategies
- Benchmarking methodologies
- Performance regression detection
- Memory usage testing
- I/O performance measurement
- Scalability testing approaches
7. CI/CD Integration
- GitHub Actions configuration
- Automated test execution
- Test result reporting
- Coverage tracking
- Performance monitoring
8. Test Writing Guidelines
- Test naming conventions
- Test structure and organization
- Assertion best practices
- Error condition testing
- Documentation and comments
9. Debugging and Troubleshooting
- Test failure analysis
- Debugging techniques
- Test environment issues
- Flaky test management
- Performance bottleneck identification
10. Advanced Testing Topics
- Property-based testing
- Mutation testing
- Security testing
- Compatibility testing
- Load and stress testing
This framework will provide comprehensive testing guidance with examples, templates, and best practices for PyMapGIS development.