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refactor: Migrate from monolithic to modular architecture

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- Restructure project into domain-specific modules (core, masterdata, members, horses, events, infrastructure)
- Create shared client components in common-ui module
- Implement CI/CD workflows with GitHub Actions
- Consolidate documentation in docs directory
- Remove deprecated modules and documentation files
- Add cleanup and migration scripts for transition
- Update README with new project structure and setup instructions
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stefan
2025-07-22 18:44:18 +02:00
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docs/client-data-fetching-improvements.md
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# Client Data Fetching and State Management - Future Improvements
This document outlines potential future improvements for the client-side data fetching and state management implementation.
## 1. Additional Repository Implementations
Currently, we have implemented repositories for:
- Person entities (ClientPersonRepository)
- Event entities (ClientEventRepository)
Future implementations could include:
- **HorseRepository**: For managing horse data
- **MasterDataRepository**: For managing master data like countries, states, etc.
- **UserRepository**: For managing user data and authentication
- **NotificationRepository**: For managing notifications and alerts
## 2. Advanced Caching Strategies
The current implementation includes a simple time-based caching mechanism in the ApiClient. This could be enhanced with:
- **Selective Caching**: Configure caching on a per-endpoint basis
- **Cache Invalidation Strategies**: Implement more sophisticated cache invalidation based on related data changes
- **Persistent Cache**: Store cache data in local storage for offline use
- **Cache Size Limits**: Implement maximum cache size and eviction policies
- **Stale-While-Revalidate**: Return cached data immediately while fetching fresh data in the background
## 3. Offline Support with Local Storage
Enhance the application to work offline by:
- **Persistent Storage**: Store essential data in IndexedDB or other local storage
- **Offline Queue**: Queue write operations when offline and sync when online
- **Conflict Resolution**: Implement strategies for resolving conflicts between local and remote data
- **Sync Status Indicators**: Show users the sync status of their data
- **Selective Sync**: Allow users to choose what data to sync for offline use
## 4. Real-time Updates with WebSockets
Implement real-time updates to keep the UI in sync with the backend:
- **WebSocket Connection**: Establish a WebSocket connection for real-time updates
- **Event-Based Updates**: Subscribe to specific events for targeted updates
- **Optimistic UI Updates**: Update the UI immediately and confirm with the server
- **Reconnection Logic**: Handle connection drops and reconnect automatically
- **Presence Indicators**: Show online/offline status of users
## 5. Enhanced Error Handling and Retry Logic
Improve error handling and recovery:
- **Error Categorization**: Categorize errors (network, server, validation, etc.)
- **Retry Strategies**: Implement exponential backoff for retrying failed requests
- **Error Recovery**: Provide ways for users to recover from errors
- **Detailed Error Reporting**: Log detailed error information for debugging
- **User-Friendly Error Messages**: Translate technical errors into user-friendly messages
- **Global Error Handling**: Implement a global error handler for consistent error handling
## 6. Performance Optimizations
Optimize performance for better user experience:
- **Request Batching**: Batch multiple requests to reduce network overhead
- **Request Deduplication**: Avoid duplicate requests for the same data
- **Lazy Loading**: Load data only when needed
- **Data Prefetching**: Prefetch data that is likely to be needed soon
- **Response Compression**: Use compression for API responses
- **Pagination**: Implement efficient pagination for large data sets
## 7. Testing Improvements
Enhance testing for data fetching and state management:
- **Unit Tests**: Test individual components in isolation
- **Integration Tests**: Test the interaction between components
- **E2E Tests**: Test the entire data flow from UI to API and back
- **Mock API**: Create a mock API for testing without backend dependencies
- **Test Coverage**: Ensure high test coverage for critical data paths
- **Performance Testing**: Test performance under various network conditions
## 8. Developer Experience
Improve developer experience:
- **Logging**: Add comprehensive logging for debugging
- **API Documentation**: Generate API documentation from code
- **Type Safety**: Enhance type safety for API responses
- **Developer Tools**: Create developer tools for inspecting data flow
- **Code Generation**: Generate repository code from API specifications
## Implementation Priority
When implementing these improvements, consider the following priority order:
1. Enhanced Error Handling and Retry Logic
2. Additional Repository Implementations
3. Advanced Caching Strategies
4. Offline Support with Local Storage
5. Real-time Updates with WebSockets
6. Performance Optimizations
7. Testing Improvements
8. Developer Experience