🌊 Data Flow

Content Outline

This document will cover how data flows through PyMapGIS from input to output, including:

1. Data Ingestion Flow

• URL parsing and scheme detection
• Plugin selection and initialization
• Authentication and authorization
• Data source connection establishment

2. Data Reading Pipeline

• Format detection and validation
• Streaming vs. batch reading strategies
• Memory management during reading
• Error handling and recovery

3. Processing Pipeline

• Data validation and cleaning
• Coordinate system handling
• Geometry processing and validation
• Attribute processing and type conversion

4. Caching Integration

• Cache key generation
• Cache hit/miss decision flow
• Data serialization for caching
• Cache invalidation strategies

5. Operation Execution Flow

• Vector operation pipeline (clip, buffer, overlay, spatial_join)
• Raster operation pipeline (reproject, normalized_difference)
• Spatial indexing and optimization
• Parallel processing coordination

6. Visualization Pipeline

• Data preparation for visualization
• Style application and rendering
• Interactive map generation
• Export and serialization

7. Service Delivery Flow

• Web service request handling
• Tile generation pipeline
• Response formatting and delivery
• Performance optimization

8. Error Propagation

• Error detection and classification
• Error context preservation
• User-friendly error messages
• Recovery and fallback strategies

9. Performance Optimization Points

• Bottleneck identification
• Memory usage optimization
• I/O optimization strategies
• Parallel processing opportunities

10. Monitoring and Logging

• Performance metrics collection
• Operation logging and tracing
• Debug information capture
• User activity tracking

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This outline will be expanded into a comprehensive guide showing data flow diagrams, code examples, and optimization strategies.