Data Flow

Status: 🚧 Documentation in progress

Overview

The data flow in p2d2 follows a clear pattern from the data source to the display in the user interface. The system combines static Content Collections with dynamic geodata services.

Data Sources

Static Data

• Content Collections: Municipality data in structured JSON format
• Configuration Files: System settings and layer configurations
• UI Components: Static assets and templates

Dynamic Data

• WMS/WMTS Services: External geodata services
• OpenStreetMap: Background maps and base data
• User Inputs: Geometry data from the Feature Editor

Data Flow Diagram

Content Collections → Astro Build → Static Pages
     ↓
Geodata Services → OpenLayers → Map Rendering
     ↓
User Interaction → Feature Editor → Local Storage

Initialization Phase

1. Loading Base Data

   • Content Collections are loaded during the build process
   • Municipality data is embedded in static pages
   • Configurations are initialized

2. Map Initialization

   • OpenLayers map is created with base configuration
   • Layers are configured based on municipality data
   • WMS/WMTS services are connected

Runtime Data Flow

Map Interactions

• User interactions (zoom, pan, click) are processed by OpenLayers
• Layer visibility is adjusted dynamically
• Feature selection loads additional metadata

Feature Editor

• Geometry creation and editing
• Data validation and storage
• Synchronization with backend (if configured)

Data Persistence

• Local Storage: Browser storage for user settings
• Session Data: Temporary data during the session
• Configurations: Persistent settings

Communication Patterns

Client-Server

• Static Assets: Direct access via CDN/web server
• Geodata Services: HTTP requests to WMS/WMTS endpoints
• API Endpoints: Astro endpoints for dynamic functions

Component Communication

• Props: Data flow from parent to child components
• Events: Notifications from child to parent components
• Stores: Global state management (if used)

Performance Considerations

Data Lazy Loading

• Geodata is loaded only when needed
• Layers are dynamically shown and hidden
• Assets are optimized and cached

Caching Strategies

• Browser Cache: Static assets and configurations
• Service Worker: Offline functionality
• CDN Caching: Geodata services

Error Handling

Network Errors

• Timeout handling for geodata services
• Fallback mechanisms for failed services
• User feedback on connection problems

Data Validation

• TypeScript types for type-safe data processing
• Schema validation for Content Collections
• Runtime validation for user inputs

Next Steps

• [ ] Create detailed data flow diagrams
• [ ] Document performance metrics
• [ ] Describe error handling scenarios
• [ ] Optimize caching strategies