fix(Gradle-Build)
refactoring(Backend) TODO-Roadmap.md
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# TODO-Roadmap für Meldestelle Backend & Frontend Verbesserungen
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## 📋 Roadmap Übersicht
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Diese Roadmap führt Sie durch die systematische Verbesserung Ihres Backend und Frontend Codes, basierend auf der durchgeführten Analyse.
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---
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## 🚀 Phase 1: Backend-Optimierungen (Woche 1-2)
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### 1.1 Circuit Breaker Enhancement
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- [ ] **Resilience4j Circuit Breaker für Ping-Service implementieren**
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- Datei: `temp/ping-service/src/main/kotlin/.../PingServiceCircuitBreaker.kt`
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- Fallback-Methoden für Service-Ausfälle
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- Konfiguration in `application.yml`
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- Tests für Circuit Breaker Verhalten
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### 1.2 Health Check Verbesserungen
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- [ ] **Gateway Health Indicator implementieren**
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- Datei: `infrastructure/gateway/src/main/kotlin/.../health/GatewayHealthIndicator.kt`
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- Downstream Service Health Checks
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- Actuator Integration erweitern
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- Health Check Dashboard
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### 1.3 Observability & Metrics
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- [ ] **Micrometer Metrics Integration**
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- Datei: `infrastructure/gateway/src/main/kotlin/.../metrics/GatewayMetricsConfig.kt`
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- Request/Response Zeit Metriken
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- Fehlerrate Tracking
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- Custom Business Metrics
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- [ ] **Enhanced Logging Verbesserungen**
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- Strukturierte JSON Logs
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- MDC (Mapped Diagnostic Context) für Korrelations-IDs
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- Log-Level Konfiguration per Environment
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### 1.4 Security Enhancements
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- [ ] **JWT Authentication Filter erweitern**
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- Token Refresh Mechanismus
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- Role-based Access Control (RBAC)
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- Rate Limiting basierend auf User-Rollen
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---
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## 🎨 Phase 2: Frontend-Architektur Grundlagen (Woche 3-4)
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### 2.1 Clean Architecture Setup
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- [ ] **Repository Pattern implementieren**
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- Datei: `client/common-ui/src/commonMain/kotlin/.../data/repository/PingRepository.kt`
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- Interface Definition
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- Implementation mit Error Handling
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- Mock Implementation für Tests
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- [ ] **Data Layer strukturieren**
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- DTOs und Domain Models trennen
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- API Client abstrahieren
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- Caching Strategy implementieren
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### 2.2 State Management Architecture
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- [ ] **ViewModel Pattern einführen**
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- Datei: `client/common-ui/src/commonMain/kotlin/.../ui/viewmodel/PingViewModel.kt`
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- State Management mit Flows
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- Business Logic Kapselung
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- Testbare ViewModels
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- [ ] **State Classes definieren**
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- Loading/Success/Error States
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- Immutable State Objects
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- State Transition Logic
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### 2.3 Dependency Injection
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- [ ] **DI Container Setup**
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- Datei: `client/common-ui/src/commonMain/kotlin/.../di/ClientModule.kt`
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- Repository Injection
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- ViewModel Factory
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- Configuration Management
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---
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## 🔧 Phase 3: Frontend-Komponenten Refactoring (Woche 5-6)
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### 3.1 UI Components verbessern
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- [ ] **PingTestComponent refactoren**
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- Datei: `client/common-ui/src/commonMain/kotlin/.../ui/components/PingTestComponent.kt`
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- State-driven UI
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- Error Handling UI
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- Loading States
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### 3.2 Error Handling Strategy
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- [ ] **Unified Error Handling**
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- `ApiResult` sealed class
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- Error Boundary Components
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- User-friendly Error Messages
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- Retry Mechanisms
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### 3.3 Network Layer
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- [ ] **HTTP Client Configuration**
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- Timeout Konfiguration
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- Retry Policy
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- Request/Response Interceptors
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- Connection Pool Management
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---
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## 📱 Phase 4: KMP-spezifische Optimierungen (Woche 7-8)
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### 4.1 Platform-spezifische Implementierungen
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- [ ] **Expect/Actual Patterns**
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- Platform-spezifische HTTP Clients
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- Storage Abstraction
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- Platform UI Anpassungen
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### 4.2 Build Configuration
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- [ ] **Gradle Build Optimierung**
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- Datei: `client/web-app/build.gradle.kts`
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- Dependencies Management
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- Code Sharing zwischen Targets
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- Build Performance
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### 4.3 Web-spezifische Features
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- [ ] **Browser Integration**
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- LocalStorage für Caching
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- Service Worker für Offline
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- Progressive Web App Features
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---
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## 🧪 Phase 5: Testing Strategy (Woche 9-10)
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### 5.1 Backend Testing
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- [ ] **Integration Tests erweitern**
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- Circuit Breaker Tests
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- Rate Limiting Tests
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- Security Filter Tests
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- [ ] **Performance Tests**
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- Load Testing Setup
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- Stress Testing
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- Memory Leak Detection
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### 5.2 Frontend Testing
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- [ ] **Unit Tests für ViewModels**
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- State Transition Tests
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- Business Logic Tests
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- Mock Repository Tests
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- [ ] **UI Testing**
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- Component Tests
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- Integration Tests
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- E2E Tests Setup
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---
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## 📈 Phase 6: Performance & Monitoring (Woche 11-12)
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### 6.1 Performance Optimierung
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- [ ] **Backend Performance**
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- Database Query Optimierung
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- Connection Pooling
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- Caching Strategy
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- [ ] **Frontend Performance**
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- Bundle Size Optimierung
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- Lazy Loading
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- Memory Management
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### 6.2 Monitoring Setup
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- [ ] **Metrics Dashboard**
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- Grafana Dashboards
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- Alerting Rules
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- Performance KPIs
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- [ ] **Error Tracking**
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- Frontend Error Monitoring
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- Backend Error Alerting
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- User Experience Metrics
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---
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## 🚢 Phase 7: Production Readiness (Woche 13-14)
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### 7.1 Configuration Management
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- [ ] **Environment Configuration**
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- Dev/Test/Prod Configs
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- Secret Management
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- Feature Flags
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### 7.2 Deployment Pipeline
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- [ ] **CI/CD Verbesserungen**
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- Automated Testing
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- Docker Optimierung
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- Blue/Green Deployment
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### 7.3 Documentation
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- [ ] **Code Dokumentation**
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- API Documentation Update
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- Architecture Decision Records
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- Developer Guidelines
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---
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## 📊 Erfolgs-Metriken
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### Backend
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- [ ] Response Zeit < 100ms für 95% der Requests
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- [ ] Fehlerrate < 0.1%
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- [ ] Circuit Breaker Funktionalität
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- [ ] 100% Test Coverage für kritische Pfade
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### Frontend
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- [ ] Bundle Size < 500KB (gzipped)
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- [ ] First Contentful Paint < 1.5s
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- [ ] Crash-freie Sessions > 99.5%
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- [ ] Clean Architecture Compliance
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---
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## 🔄 Kontinuierliche Verbesserungen
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### Wöchentliche Reviews
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- [ ] Code Quality Metrics Review
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- [ ] Performance Benchmarks
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- [ ] Security Audit
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- [ ] User Feedback Integration
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### Monatliche Assessments
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- [ ] Architecture Review
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- [ ] Technology Stack Evaluation
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- [ ] Process Optimization
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- [ ] Team Knowledge Sharing
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---
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## 📝 Notizen
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### Prioritäten
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1. **Hoch**: Circuit Breaker, Repository Pattern, State Management
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2. **Medium**: Metrics, Error Handling, Testing
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3. **Niedrig**: Performance Optimierung, Documentation
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### Dependencies
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- Phase 2 kann parallel zu Phase 1 begonnen werden
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- Phase 3 benötigt Completion von Phase 2
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- Testing (Phase 5) sollte kontinuierlich durchgeführt werden
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### Risiken
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- KMP-spezifische Probleme können zusätzliche Zeit benötigen
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- Integration zwischen Backend und Frontend muss koordiniert werden
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- Performance-Tests können unerwartete Probleme aufdecken
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---
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**Erstellt:** Januar 2025
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**Version:** 1.0
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**Nächstes Review:** Nach Phase 2 Completion
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# Infrastructure/Cache Module
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# Infrastructure/Cache Module
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*Letzte Aktualisierung: 14. August 2025*
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## Überblick
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## Überblick
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Das **Cache-Modul** stellt eine zentrale, hochverfügbare und wiederverwendbare Caching-Infrastruktur für alle Microservices bereit. Es dient der Verbesserung der Anwendungsperformance, der Reduzierung von Latenzen und der Entlastung der primären PostgreSQL-Datenbank.
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Das **Cache-Modul** stellt eine zentrale, hochverfügbare und wiederverwendbare Caching-Infrastruktur für alle Microservices bereit. Es dient der Verbesserung der Anwendungsperformance, der Reduzierung von Latenzen und der Entlastung der primären PostgreSQL-Datenbank.
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}
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}
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```
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```
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## Changelog
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### 2025-08-14
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- **Bug Fix:** Behoben: Compiler-Warnungen in `JacksonCacheSerializer` bezüglich identity-sensitiver Operationen auf `java.time.Instant` Typen
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- Ersetzt direkte Gleichheitsvergleiche (`==`, `!=`) mit `Objects.equals()` für sichere Vergleiche von nullable Instant-Objekten
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- Verbesserte Typsicherheit beim Vergleich von Zeitstempel-Feldern in der Cache-Serialisierung
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- Alle Tests weiterhin erfolgreich, keine funktionalen Änderungen
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## Testing-Strategie
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## Testing-Strategie
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Die Qualität des Moduls wird durch eine zweistufige Teststrategie sichergestellt:
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Die Qualität des Moduls wird durch eine zweistufige Teststrategie sichergestellt:
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+4
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import com.fasterxml.jackson.module.kotlin.readValue
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import com.fasterxml.jackson.module.kotlin.readValue
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import java.io.ByteArrayInputStream
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import java.io.ByteArrayInputStream
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import java.io.ByteArrayOutputStream
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import java.io.ByteArrayOutputStream
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import java.util.Objects
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import java.util.zip.GZIPInputStream
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import java.util.zip.GZIPInputStream
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import java.util.zip.GZIPOutputStream
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import java.util.zip.GZIPOutputStream
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import kotlin.time.ExperimentalTime
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import kotlin.time.ExperimentalTime
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if (key != other.key) return false
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if (key != other.key) return false
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if (!valueBytes.contentEquals(other.valueBytes)) return false
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if (!valueBytes.contentEquals(other.valueBytes)) return false
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if (valueType != other.valueType) return false
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if (valueType != other.valueType) return false
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if (!createdAt.equals(other.createdAt)) return false
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if (!Objects.equals(createdAt, other.createdAt)) return false
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if (expiresAt != other.expiresAt && expiresAt?.equals(other.expiresAt) != true) return false
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if (!Objects.equals(expiresAt, other.expiresAt)) return false
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if (!lastModifiedAt.equals(other.lastModifiedAt)) return false
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if (!Objects.equals(lastModifiedAt, other.lastModifiedAt)) return false
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if (isDirty != other.isDirty) return false
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if (isDirty != other.isDirty) return false
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if (isLocal != other.isLocal) return false
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if (isLocal != other.isLocal) return false
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