Module processing_step_descriptor 

Processing Step Descriptor Value Object

This module defines the processing step descriptor value object for the adaptive pipeline system. It provides a comprehensive description of processing steps with validation, parameters, and metadata.

Overview

The processing step descriptor provides:

• Step Definition: Complete definition of processing steps
• Algorithm Validation: Validated algorithm names and parameters
• Parameter Management: Type-safe parameter handling
• Metadata Tracking: Comprehensive metadata for each step
• Serialization: Support for persistence and transmission

Architecture

The descriptor follows Domain-Driven Design principles:

• Value Object: Immutable value object with equality semantics
• Rich Domain Model: Encapsulates processing step business logic
• Validation: Comprehensive validation of step definitions
• Type Safety: Type-safe parameter and algorithm handling

Key Features

Step Definition

• Step Types: Support for different processing step types
• Algorithm Specification: Validated algorithm names and versions
• Parameter Configuration: Type-safe parameter configuration
• Dependency Management: Step dependency tracking

Algorithm Management

• Name Validation: Comprehensive algorithm name validation
• Version Control: Algorithm version tracking and compatibility
• Parameter Schema: Algorithm-specific parameter schemas
• Capability Detection: Detect algorithm capabilities and features

Parameter Handling

• Type Safety: Type-safe parameter values
• Validation: Parameter validation against schemas
• Default Values: Support for default parameter values
• Documentation: Parameter documentation and help text

Usage Examples

Basic Step Creation

Algorithm Validation

Parameter Management

Step Composition and Chaining

Serialization and Configuration

Processing Step Types

Built-in Step Types

• Validation: Input validation and integrity checking

  • Algorithms: checksum, signature, format validation
  • Use case: Validate input files before processing

• Compression: Data compression and decompression

  • Algorithms: brotli, gzip, zstd, lz4, deflate
  • Use case: Reduce file size for storage or transmission

• Encryption: Data encryption and decryption

  • Algorithms: aes-256-gcm, chacha20-poly1305, aes-128-gcm
  • Use case: Secure data storage and transmission

• Transformation: Data format transformation

  • Algorithms: json-to-binary, xml-to-json, custom transforms
  • Use case: Convert between different data formats

• Analysis: Data analysis and metrics collection

  • Algorithms: statistics, pattern detection, anomaly detection
  • Use case: Analyze data patterns and collect metrics

Custom Step Types

Create custom step types by extending the ProcessingStepType enum:

• Domain-Specific: Steps specific to your application domain
• Integration: Steps for integrating with external systems
• Monitoring: Steps for monitoring and alerting

Algorithm Validation

Name Format Rules

• Characters: Alphanumeric, hyphens, and underscores only
• Case: Converted to lowercase for consistency
• Length: Must be non-empty after trimming
• Format: Must match regex pattern ^[a-zA-Z0-9_-]+$

Validation Process

1. Trim Whitespace: Remove leading/trailing whitespace
2. Empty Check: Ensure name is not empty
3. Character Validation: Check allowed characters
4. Normalization: Convert to lowercase
5. Registration: Check against algorithm registry

Parameter Management

Parameter Types

• String Parameters: Text values and identifiers
• Numeric Parameters: Integer and floating-point values
• Boolean Parameters: True/false flags
• Array Parameters: Lists of values
• Object Parameters: Nested parameter structures

Parameter Validation

• Type Checking: Validate parameter types
• Range Validation: Check numeric ranges
• Format Validation: Validate string formats
• Dependency Validation: Check parameter dependencies

Default Values

• Algorithm Defaults: Default values for each algorithm
• Override Support: Allow overriding default values
• Validation: Validate default values

Error Handling

Validation Errors

• Invalid Algorithm: Algorithm name is invalid
• Invalid Parameters: Parameter values are invalid
• Missing Parameters: Required parameters are missing
• Type Mismatch: Parameter type doesn’t match expected type

Configuration Errors

• Invalid Step Type: Step type is not supported
• Incompatible Parameters: Parameters are incompatible
• Circular Dependencies: Circular step dependencies detected

Performance Considerations

Memory Usage

• Efficient Storage: Compact storage of step definitions
• String Interning: Intern common algorithm names
• Parameter Optimization: Optimize parameter storage

Validation Performance

• Lazy Validation: Validate only when necessary
• Caching: Cache validation results
• Batch Validation: Validate multiple steps together

Integration

The processing step descriptor integrates with:

• Processing Pipeline: Define pipeline processing steps
• Configuration System: Store and load step configurations
• Validation Framework: Validate step definitions
• Execution Engine: Execute defined processing steps

Thread Safety

The processing step descriptor is thread-safe:

• Immutable: Descriptors are immutable after creation
• Safe Sharing: Safe to share between threads
• Concurrent Access: Safe concurrent access to descriptor data

Future Enhancements

Planned enhancements include:

• Dynamic Parameters: Runtime parameter modification
• Parameter Templates: Template-based parameter generation
• Advanced Validation: More sophisticated validation rules
• Performance Optimization: Further performance improvements

Structs

Algorithm

Value object representing a validated algorithm name

ProcessingStepDescriptor

Value object describing a complete processing step

StageParameters

Value object representing validated stage parameters

StepOrder

Value object representing the order of a processing step