new api service and logic implemented
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# WAG Management API Service v4
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This service provides a comprehensive API for managing WAG (Wide Area Gateway) systems. It handles configuration, monitoring, and control operations for WAG devices in the network infrastructure.
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## Quick Start
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To run the tests using Docker Compose:
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```bash
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docker compose -f docker-compose.test.yml up --build
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```
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## Project Structure
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### Core Services and Components
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- `Services/` - Core service implementations
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- `PostgresDb/` - PostgreSQL database operations and models
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- `MongoDb/` - MongoDB operations and document models
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- `Redis/` - Redis caching and session management
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- `Email/` - Email notification service
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- `ApiValidations/` - Request validation and data sanitization
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- Input validation rules
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- Data sanitization filters
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- Schema validation middleware
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- `ApiLibrary/` - Common utilities and helper functions
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- Shared functions and utilities
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- Common constants and configurations
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- Helper classes and decorators
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### Configuration and Settings
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- `AllConfigs/` - Configuration management
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- Database configurations
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- Service settings
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- Environment-specific configs
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- `Schemas/` - Data models and schema definitions
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- Request/Response models
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- Database schemas
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- API contract definitions
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### Docker and Deployment
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- `DockerApiServices/` - API service Docker configurations
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- API service Dockerfile
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- Service dependencies
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- `DockerStoreServices/` - Storage service Docker configurations
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- Database service Dockerfiles
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- Storage service dependencies
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### Error Handling and Events
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- `ErrorHandlers/` - Error handling and exception management
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- Custom exceptions
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- Error handlers
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- Exception middleware
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- `ApiEvents/` - Event handling and processing
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- Event listeners
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- Event dispatchers
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- Message queue handlers
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### Language and Testing
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- `LanguageModels/` - Localization and language support
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- Language files
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- Translation models
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- i18n configurations
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- `Ztest/` - Test suite
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- Unit tests
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- Integration tests
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- Test fixtures and utilities
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### Additional Components
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- `scripts/` - Utility scripts and tools
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- Deployment scripts
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- Database migrations
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- Maintenance utilities
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use arcjet @frontend
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## Architecture Overview
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This project follows a layered architecture with three core services:
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### Core Services
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1. **AuthServiceApi**: Authentication and authorization
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2. **EventServiceApi**: Event processing and management
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3. **ValidationServiceApi**: Input and schema validation
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### System Layers
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- **Dependencies Layer**: External dependencies and requirements
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- **Application Layer**: Core business logic
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- **Service Layer**: API implementations
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- **Test Layer**: Testing infrastructure
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- **Dev Layer**: Development utilities
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- **Root Layer**: Configuration and documentation
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For detailed architecture documentation, see [System Architecture](docs/architecture/system_architecture.md).
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## Suggested Improvements
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The following improvements have been identified to enhance the system:
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### Infrastructure & Deployment
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- **Service Isolation**: Containerize core services (Auth, Event, Validation)
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- **API Gateway**: Add gateway layer for rate limiting, versioning, and security
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- **Monitoring**: Implement distributed tracing and metrics collection
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- **Configuration**: Move to centralized configuration service with feature flags
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### Performance & Scaling
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- **Caching Strategy**: Enhance Redis implementation with invalidation patterns
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- **Database**: Implement sharding and read replicas
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- **Event System**: Add message queue (RabbitMQ/Kafka) for event handling
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- **Background Jobs**: Implement job processing and connection pooling
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### Security & Reliability
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- **API Security**: Implement key rotation and rate limiting
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- **Error Handling**: Add centralized tracking and circuit breakers
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- **Testing**: Add integration tests and performance benchmarks
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- **Audit**: Implement comprehensive audit logging
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### Development Experience
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- **Code Organization**: Move to domain-driven design
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- **Documentation**: Add OpenAPI/Swagger docs and ADRs
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- **Internationalization**: Create translation management system
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- **Developer Tools**: Enhance debugging and monitoring capabilities
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For implementation details of these improvements, see:
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- [Architecture Documentation](docs/architecture/system_architecture.md)
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- [Detailed Improvement Plan](docs/improvements/detailed_improvement_plan.md) with code examples and implementation timeline
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## Development Notes with AI-Windsurf
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This project uses AI-Windsurf's intelligent note-taking system to maintain comprehensive development documentation. Notes are automatically organized and stored in the `/docs/notes/` directory.
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### Note Structure
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- **Topic-based Organization**: Notes are categorized by topics (architecture, features, bugs, etc.)
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- **Date Tracking**: All notes include creation and modification dates
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- **Automatic Linking**: Related components and documentation are automatically cross-referenced
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- **Action Items**: Tasks and next steps are tracked within notes
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### Accessing Notes
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1. Browse the `/docs/notes/` directory
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2. Notes are stored in markdown format for easy reading
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3. Each note follows a standard template with:
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- Overview
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- Technical details
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- Related components
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- Action items
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### Adding Notes
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Work with AI-Windsurf to add notes by:
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1. Describing what you want to document
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2. Mentioning related components or previous notes
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3. Specifying any action items or follow-ups
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The AI will automatically:
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- Create properly formatted note files
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- Link related documentation
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- Update existing notes when relevant
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- Track development progress
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For detailed documentation about specific components, refer to the corresponding files in the `/docs/` directory.
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