Module config_service

adaptive_pipeline::infrastructure::config

Module config_service 

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Expand description

§Configuration Service Implementation

This module provides configuration management services for the adaptive pipeline system. It handles loading, parsing, validation, and management of configuration settings for observability, logging, metrics, and system behavior.

§Overview

The configuration service implementation provides:

  • Configuration Loading: Loads configuration from files and environment variables
  • Validation: Validates configuration settings and provides defaults
  • Hot Reloading: Supports dynamic configuration updates without restart
  • Environment Integration: Integrates with environment-specific settings
  • Type Safety: Strongly typed configuration structures with validation

§Architecture

The configuration service follows these design principles:

  • Layered Configuration: Supports multiple configuration sources with precedence
  • Type Safety: Uses Rust’s type system for configuration validation
  • Default Values: Provides sensible defaults for all configuration options
  • Environment Awareness: Adapts configuration based on deployment environment

§Configuration Categories

§Observability Configuration

Controls system monitoring and observability features:

  • Structured Logging: Enable/disable structured logging output
  • Performance Tracing: Control performance tracing and profiling
  • Health Checks: Configure health check endpoints and intervals
  • Metrics Export: Control metrics collection and export settings
  • Trace Sampling: Configure distributed tracing sample rates

§Logging Configuration

Manages application logging behavior:

  • Log Level: Set minimum log level (debug, info, warn, error)
  • Output Format: Configure log output format (JSON, plain text)
  • File Rotation: Configure log file rotation and retention
  • Filtering: Set up log filtering rules and patterns

§Metrics Configuration

Controls metrics collection and export:

  • Collection Interval: How frequently to collect metrics
  • Export Endpoints: Where to export metrics (Prometheus, etc.)
  • Retention Policy: How long to retain metric data
  • Aggregation: Configure metric aggregation strategies

§Usage Examples

§Loading Configuration

§Environment-Specific Configuration

§Configuration Validation

§Configuration Sources

§File-Based Configuration

Supports multiple configuration file formats:

  • TOML: Primary configuration format (recommended)
  • JSON: Alternative JSON format support
  • YAML: YAML format for complex configurations

§Environment Variables

Environment variable overrides with prefixes:

  • ADAPIPE_LOG_LEVEL: Override logging level
  • ADAPIPE_METRICS_ENABLED: Enable/disable metrics
  • ADAPIPE_TRACE_SAMPLE_RATE: Set tracing sample rate

§Default Configuration

Provides sensible defaults for all settings:

  • Development: Verbose logging, detailed tracing
  • Production: Optimized for performance and stability
  • Testing: Minimal overhead, focused on test execution

§Configuration Validation

§Type Safety

  • Compile-Time Validation: Rust’s type system prevents invalid configurations
  • Runtime Validation: Additional validation for business rules
  • Default Values: Automatic fallback to safe defaults

§Validation Rules

  • Range Validation: Numeric values within acceptable ranges
  • Format Validation: String values match expected formats
  • Dependency Validation: Ensure dependent settings are compatible
  • Resource Validation: Validate resource limits and availability

§Hot Reloading

§Dynamic Updates

  • File Watching: Automatically detect configuration file changes
  • Graceful Updates: Apply changes without service interruption
  • Rollback Support: Automatic rollback on invalid configurations
  • Notification: Notify services of configuration changes

§Safety Mechanisms

  • Validation: New configurations are validated before application
  • Atomic Updates: Configuration changes are applied atomically
  • Backup: Previous configurations are backed up for rollback
  • Monitoring: Configuration changes are logged and monitored

§Performance Considerations

§Efficient Loading

  • Lazy Loading: Load configuration only when needed
  • Caching: Cache parsed configuration to avoid repeated parsing
  • Minimal Overhead: Optimized for fast startup and low memory usage

§Memory Management

  • Shared Configuration: Share configuration across components
  • Copy-on-Write: Efficient updates with copy-on-write semantics
  • Garbage Collection: Automatic cleanup of old configurations

§Security Considerations

§Sensitive Data

  • No Secrets: Configuration files should not contain secrets
  • Environment Variables: Use environment variables for sensitive data
  • Access Control: Restrict access to configuration files
  • Audit Logging: Log configuration access and changes

§Integration

The configuration service integrates with:

  • Logging System: Configures logging behavior and output
  • Metrics System: Controls metrics collection and export
  • Health Checks: Configures health check endpoints and behavior
  • Tracing System: Controls distributed tracing and sampling

§Future Enhancements

Planned enhancements include:

  • Configuration UI: Web-based configuration management interface
  • Schema Validation: JSON Schema validation for configuration files
  • Configuration Templates: Template-based configuration generation
  • Remote Configuration: Support for remote configuration stores

Structs§

AlertSettings
ConfigService
Configuration service for loading observability settings
HealthCheckSettings
LoggingSettings
MetricsSettings
ObservabilityConfig
Configuration service for reading observability settings
ObservabilitySettings
TracingSettings