🐛 Debugging Guide
Content Outline
Comprehensive debugging techniques and tools for PyMapGIS development:
1. Debugging Philosophy and Approach
- Systematic debugging methodology
- Problem isolation techniques
- Hypothesis-driven debugging
- Documentation and reproduction
- Prevention-focused debugging
- pdb: Python debugger usage
- ipdb: Enhanced interactive debugging
- IDE Debugging: VS Code, PyCharm integration
- Remote Debugging: Debugging deployed applications
- Post-mortem Debugging: Analyzing crashes
3. Logging and Tracing
- Logging configuration and best practices
- Structured logging for geospatial applications
- Distributed tracing for complex workflows
- Performance logging and metrics
- Debug logging strategies
4. PyMapGIS-Specific Debugging
- Data source debugging techniques
- Cache debugging and inspection
- Spatial operation debugging
- Visualization debugging
- Plugin debugging strategies
- Profiling Tools: cProfile, line_profiler, memory_profiler
- Performance Monitoring: Real-time performance tracking
- Bottleneck Identification: Finding performance issues
- Memory Debugging: Memory leak detection
- I/O Performance: Debugging slow data operations
6. Geospatial Data Debugging
- Geometry validation and inspection
- Coordinate system debugging
- Spatial relationship debugging
- Data quality assessment
- Visualization debugging techniques
7. Network and API Debugging
- HTTP request/response debugging
- API authentication debugging
- Rate limiting and throttling issues
- Network connectivity problems
- SSL/TLS certificate issues
8. Testing and Test Debugging
- Test failure analysis
- Mock and fixture debugging
- Test isolation issues
- Flaky test debugging
- Performance test debugging
9. Environment and Configuration Debugging
- Environment variable debugging
- Configuration validation
- Dependency conflict resolution
- Path and import debugging
- Platform-specific issues
10. Production Debugging
- Log analysis and monitoring
- Error tracking and alerting
- Performance monitoring
- User issue reproduction
- Remote debugging techniques
- Custom debugging utilities
- Geospatial data inspection tools
- Cache inspection utilities
- Performance monitoring tools
- Automated debugging scripts
12. Community and Support
- Getting help from the community
- Bug reporting best practices
- Providing debugging information
- Contributing debugging improvements
- Mentoring and knowledge sharing
This guide will provide practical debugging techniques, tools, and strategies specifically tailored for PyMapGIS development and geospatial applications.