Module pipeline_service 

Pipeline Service Interface

This module defines the domain service interface for pipeline processing operations within the adaptive pipeline system. It provides abstractions for executing processing pipelines, managing pipeline lifecycle, and monitoring execution.

Overview

The pipeline service provides:

• Pipeline Execution: Execute configured processing pipelines
• Lifecycle Management: Manage pipeline creation, execution, and cleanup
• Progress Monitoring: Real-time progress tracking and reporting
• Event Handling: Comprehensive event system for pipeline operations
• Resource Management: Efficient resource allocation and management

Architecture

The service follows Domain-Driven Design principles:

• Domain Interface: PipelineService trait defines the contract
• Event System: Observer pattern for pipeline events
• Processing Context: Maintains state throughout pipeline execution
• Security Integration: Integrated security context and validation

Key Features

Pipeline Execution

• Stage Orchestration: Coordinate execution of pipeline stages
• Data Flow: Manage data flow between processing stages
• Error Handling: Comprehensive error handling and recovery
• Resource Allocation: Intelligent resource allocation and cleanup

Progress Monitoring

• Real-time Updates: Live progress updates during execution
• Performance Metrics: Detailed performance metrics and statistics
• Event Notifications: Comprehensive event system for monitoring
• Throughput Tracking: Track processing throughput and efficiency

Security Integration

• Security Context: Integrated security context validation
• Access Control: Enforce access control policies
• Audit Logging: Comprehensive audit trail of operations
• Compliance: Support for regulatory compliance requirements

Usage Examples

Basic Pipeline Execution

Pipeline with Observer

Batch Pipeline Processing

Event System

Processing Observer

The ProcessingObserver trait provides hooks for monitoring pipeline execution:

• Chunk Events: Track individual chunk processing
• Progress Updates: Receive periodic progress updates
• Lifecycle Events: Monitor pipeline start and completion
• Error Events: Handle processing errors and failures

Event Types

• on_processing_started: Called when pipeline execution begins
• on_chunk_started: Called when a chunk begins processing
• on_chunk_completed: Called when a chunk completes processing
• on_progress_update: Called periodically with progress information
• on_processing_completed: Called when pipeline execution completes
• on_error: Called when errors occur during processing

Processing Context

Context Management

• State Tracking: Track processing state throughout execution
• Resource Management: Manage resources and cleanup
• Security Context: Maintain security context and validation
• Metrics Collection: Collect processing metrics and statistics

Context Lifecycle

• Initialization: Initialize context before processing
• Stage Transitions: Update context between processing stages
• Error Handling: Maintain context during error conditions
• Cleanup: Clean up context after processing completion

Security Integration

Security Context

• Authentication: Verify user authentication and authorization
• Access Control: Enforce access control policies
• Audit Logging: Log all security-relevant operations
• Compliance: Support regulatory compliance requirements

Security Validation

• Input Validation: Validate all input parameters
• Permission Checks: Verify permissions for file operations
• Resource Limits: Enforce resource usage limits
• Threat Detection: Detect and prevent security threats

Error Handling

Error Categories

• Configuration Errors: Invalid pipeline configuration
• Processing Errors: Errors during pipeline execution
• Security Errors: Security violations and access denials
• Resource Errors: Resource exhaustion and allocation failures

Recovery Strategies

• Retry Logic: Automatic retry for transient failures
• Fallback Processing: Alternative processing strategies
• Partial Results: Return partial results when possible
• Graceful Degradation: Graceful handling of service failures

Performance Considerations

Execution Optimization

• Parallel Processing: Parallel execution of pipeline stages
• Resource Pooling: Efficient resource pooling and reuse
• Memory Management: Optimized memory usage and cleanup
• I/O Optimization: Efficient file I/O operations

Monitoring and Metrics

• Performance Metrics: Detailed performance monitoring
• Resource Usage: Track resource utilization
• Bottleneck Detection: Identify performance bottlenecks
• Optimization Recommendations: Suggest performance improvements

Integration

The pipeline service integrates with:

• Pipeline Repository: Load and manage pipeline configurations
• File Processor: Execute file processing operations
• Security Service: Validate security context and permissions
• Metrics Service: Report processing metrics and statistics

Thread Safety

The service interface is designed for thread safety:

• Concurrent Execution: Safe concurrent pipeline execution
• Shared Resources: Safe sharing of pipeline resources
• State Management: Thread-safe state management

Future Enhancements

Planned enhancements include:

• Distributed Execution: Support for distributed pipeline execution
• Dynamic Scaling: Automatic scaling based on workload
• Advanced Scheduling: Sophisticated pipeline scheduling
• Machine Learning: ML-based optimization and prediction

Structs

ExecutionRecord

Pipeline execution record

ExecutionStatus

Pipeline execution status

PipelineRequirements

Requirements for pipeline creation

ProcessFileContext

Configuration for processing a file through a pipeline

Enums

ExecutionState

Pipeline execution states

PerformancePriority

Performance priority levels

Traits

PipelineService

Domain service for pipeline operations

ProcessingObserver

Observer trait for pipeline processing events