work on market-data-gateway

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Bojan Kucera 2025-06-03 09:57:11 -04:00
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# Integration Services
Integration services provide connectivity, messaging, and interoperability between internal services and external systems.
## Services
*Currently in planning phase - no active services deployed*
## Planned Capabilities
### Message Bus
- **Purpose**: Event-driven communication between services
- **Planned Functions**:
- Event publishing and subscription
- Message routing and transformation
- Dead letter queue handling
- Event sourcing and replay capabilities
### API Gateway
- **Purpose**: Unified API management and routing
- **Planned Functions**:
- API endpoint consolidation
- Authentication and authorization
- Rate limiting and throttling
- Request/response transformation
### External Data Connectors
- **Purpose**: Third-party data source integration
- **Planned Functions**:
- Alternative data provider connections
- News and sentiment data feeds
- Economic indicator integrations
- Social media sentiment tracking
### Notification Service
- **Purpose**: Multi-channel alerting and notifications
- **Planned Functions**:
- Email, SMS, and push notifications
- Alert routing and escalation
- Notification templates and personalization
- Delivery tracking and analytics
## Architecture
Integration services will provide the connectivity fabric that enables seamless communication between all platform components and external systems, ensuring loose coupling and high scalability.

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# API Gateway
## Overview
The API Gateway service will provide a unified entry point for all external API requests to the stock-bot platform. It will handle request routing, composition, protocol translation, authentication, and other cross-cutting concerns, providing a simplified interface for clients while abstracting the internal microservice architecture.
## Planned Features
### Request Management
- **Routing**: Direct requests to appropriate backend services
- **Aggregation**: Combine results from multiple microservices
- **Transformation**: Convert between different data formats and protocols
- **Parameter Validation**: Validate request parameters before forwarding
- **Service Discovery**: Dynamically locate service instances
### Security Features
- **Authentication**: Centralized authentication for all API requests
- **Authorization**: Role-based access control for API endpoints
- **API Keys**: Management of client API keys and quotas
- **JWT Validation**: Token-based authentication handling
- **OAuth Integration**: Support for OAuth 2.0 flows
### Traffic Management
- **Rate Limiting**: Protect services from excessive requests
- **Throttling**: Client-specific request throttling
- **Circuit Breaking**: Prevent cascading failures
- **Load Balancing**: Distribute requests among service instances
- **Retries**: Automatic retry of failed requests
### Operational Features
- **Request Logging**: Comprehensive logging of API activity
- **Metrics Collection**: Performance and usage metrics
- **Caching**: Response caching for improved performance
- **Documentation**: Auto-generated API documentation
- **Versioning**: Support for multiple API versions
## Planned Integration Points
### Frontend Connections
- Trading Dashboard (web client)
- Mobile applications
- Third-party integrations
- Partner systems
### Backend Services
- All platform microservices
- Authentication services
- Monitoring and logging systems
## Planned Technical Implementation
### Technology Stack
- **API Gateway**: Kong, AWS API Gateway, or custom solution
- **Runtime**: Node.js with TypeScript
- **Documentation**: OpenAPI/Swagger
- **Cache**: Redis for response caching
- **Storage**: Database for API configurations
### Architecture Pattern
- Backend for Frontend (BFF) pattern
- API Gateway pattern
- Circuit breaker pattern
- Bulkhead pattern for isolation
## Development Guidelines
### API Design
- RESTful API design standards
- Error response format
- Versioning strategy
- Resource naming conventions
### Security Implementation
- Authentication requirements
- Authorization approach
- API key management
- Rate limit configuration
### Performance Optimization
- Caching strategies
- Request batching techniques
- Response compression
- Timeout configurations
## Implementation Roadmap
1. Core routing and basic security features
2. Traffic management and monitoring
3. Request aggregation and transformation
4. Advanced security features
5. Developer portal and documentation

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# Message Bus
## Overview
The Message Bus service will provide the central event-driven communication infrastructure for the stock-bot platform. It will enable reliable, scalable, and decoupled interaction between services through asynchronous messaging, event streaming, and publish-subscribe patterns.
## Planned Features
### Messaging Infrastructure
- **Topic-based Messaging**: Publish-subscribe communication model
- **Message Queuing**: Reliable message delivery with persistence
- **Event Streaming**: Real-time event processing with replay capabilities
- **Message Routing**: Dynamic routing based on content and metadata
- **Quality of Service**: Various delivery guarantee levels (at-least-once, exactly-once)
### Message Processing
- **Message Transformation**: Content transformation and enrichment
- **Message Filtering**: Rules-based filtering of messages
- **Schema Validation**: Enforcement of message format standards
- **Serialization Formats**: Support for JSON, Protocol Buffers, Avro
- **Compression**: Message compression for efficiency
### Operational Features
- **Dead Letter Handling**: Management of unprocessable messages
- **Message Tracing**: End-to-end tracing of message flow
- **Event Sourcing**: Event storage and replay capability
- **Rate Limiting**: Protection against message floods
- **Back-pressure Handling**: Flow control mechanisms
### Integration Capabilities
- **Service Discovery**: Dynamic discovery of publishers/subscribers
- **Protocol Bridging**: Support for multiple messaging protocols
- **External System Integration**: Connectors for external message systems
- **Legacy System Adapters**: Integration with non-event-driven systems
- **Web Integration**: WebSocket and SSE support for web clients
## Planned Integration Points
### Service Connections
- All platform microservices as publishers and subscribers
- Trading Dashboard (for real-time updates)
- External Data Sources (for ingestion)
- Monitoring Systems (for operational events)
## Planned Technical Implementation
### Technology Stack
- **Messaging Platform**: Kafka or RabbitMQ
- **Client Libraries**: Native TypeScript SDK
- **Monitoring**: Prometheus integration for metrics
- **Management**: Admin interface for topic/queue management
- **Storage**: Optimized storage for event persistence
### Architecture Pattern
- Event-driven architecture
- Publish-subscribe pattern
- Command pattern for request-response
- Circuit breaker for resilience
## Development Guidelines
### Message Design
- Event schema standards
- Versioning approach
- Backward compatibility requirements
- Message size considerations
### Integration Patterns
- Event notification pattern
- Event-carried state transfer
- Command messaging pattern
- Request-reply pattern implementations
### Operational Considerations
- Monitoring requirements
- Scaling guidelines
- Disaster recovery approach
- Message retention policies
## Implementation Roadmap
1. Core messaging infrastructure
2. Service integration patterns
3. Operational tooling and monitoring
4. Advanced features (replay, transformation)
5. External system connectors and adapters