Module generic_service_base 

Generic Service Base

This module provides a generic base framework for building domain services within the adaptive pipeline system. It defines common patterns, interfaces, and utilities that can be reused across different service implementations.

Overview

The generic service base provides:

• Service Configuration: Generic configuration management for services
• Statistics Collection: Standardized statistics collection and reporting
• Lifecycle Management: Common service lifecycle patterns
• Error Handling: Consistent error handling across services
• Performance Monitoring: Built-in performance monitoring capabilities

Architecture

The service base follows Domain-Driven Design principles:

• Generic Design: Reusable patterns for any service type
• Configuration Framework: Standardized configuration management
• Statistics Framework: Consistent statistics collection
• Lifecycle Framework: Common service lifecycle management

Key Features

Service Configuration

• Validation: Comprehensive configuration validation
• Defaults: Sensible default configuration values
• Merging: Configuration merging and override capabilities
• Hot Reloading: Runtime configuration updates

Statistics Collection

• Standardized Metrics: Consistent metrics across services
• Aggregation: Automatic statistics aggregation
• Reporting: Comprehensive statistics reporting
• Performance Tracking: Built-in performance monitoring

Service Lifecycle

• Initialization: Standardized service initialization
• Health Monitoring: Service health checks and monitoring
• Graceful Shutdown: Proper service shutdown procedures
• Resource Management: Automatic resource cleanup

Usage Examples

Basic Service Implementation

Service with Health Monitoring

Service with Configuration Hot Reloading

Service Configuration Framework

Configuration Validation

• Schema Validation: Validate configuration against defined schemas
• Business Rules: Enforce business logic constraints
• Cross-Field Validation: Validate relationships between fields
• Custom Validators: Support for custom validation logic

Configuration Management

• Default Values: Provide sensible default configurations
• Configuration Merging: Merge configurations from multiple sources
• Environment Overrides: Override configuration with environment variables
• Hot Reloading: Runtime configuration updates without restart

Statistics Framework

Metrics Collection

• Standardized Metrics: Consistent metrics across all services
• Performance Metrics: Response times, throughput, error rates
• Resource Metrics: Memory usage, CPU usage, connection counts
• Custom Metrics: Support for service-specific metrics

Statistics Aggregation

• Time-based Aggregation: Aggregate statistics over time windows
• Service-level Aggregation: Aggregate statistics across service instances
• System-level Aggregation: Aggregate statistics across the entire system

Service Lifecycle Management

Initialization

• Configuration Loading: Load and validate service configuration
• Resource Allocation: Allocate necessary resources
• Dependency Injection: Inject required dependencies
• Health Check Setup: Set up health monitoring

Runtime Management

• Request Processing: Handle incoming requests
• Statistics Collection: Collect performance and usage statistics
• Health Monitoring: Monitor service health and status
• Configuration Updates: Handle configuration changes

Shutdown

• Graceful Shutdown: Gracefully shut down service operations
• Resource Cleanup: Clean up allocated resources
• Statistics Reporting: Report final statistics
• State Persistence: Persist important state information

Error Handling

Service Errors

• Configuration Errors: Invalid configuration parameters
• Runtime Errors: Errors during service operation
• Resource Errors: Resource allocation and management errors
• Dependency Errors: Errors with external dependencies

Error Recovery

• Automatic Recovery: Automatic recovery from transient errors
• Circuit Breaker: Circuit breaker pattern for external dependencies
• Fallback Strategies: Fallback strategies for service degradation
• Error Reporting: Comprehensive error reporting and logging

Performance Considerations

Service Efficiency

• Minimal Overhead: Designed for minimal performance impact
• Efficient Statistics: Low-overhead statistics collection
• Resource Optimization: Efficient resource usage and management
• Caching: Intelligent caching strategies

Scalability

• Horizontal Scaling: Support for horizontal service scaling
• Load Balancing: Built-in load balancing capabilities
• Resource Pooling: Efficient resource pooling and reuse

Integration

The service base integrates with:

• Configuration System: Centralized configuration management
• Monitoring System: Service monitoring and alerting
• Logging System: Structured logging and audit trails
• Metrics System: Metrics collection and reporting

Thread Safety

The service base is fully thread-safe:

• Concurrent Operations: Safe concurrent service operations
• Shared State: Thread-safe shared state management
• Configuration Updates: Thread-safe configuration updates

Future Enhancements

Planned enhancements include:

• Service Discovery: Automatic service discovery and registration
• Load Balancing: Advanced load balancing strategies
• Circuit Breaker: Built-in circuit breaker implementation
• Distributed Tracing: Distributed tracing support

Structs

GenericServiceBase

Generic service base providing common functionality for all services

ServiceMetadata

Generic service metadata for tracking service lifecycle

Traits

ServiceConfig

Generic trait for service configuration validation and defaults

ServiceLifecycle

Trait for services that can be started and stopped

ServiceMetrics

Trait for services that support metrics collection

ServiceStats

Generic trait for service statistics collection