🧠 Enhanced Echo Integration for test_echoevo_enhancement.py - Deep Tree Echo Fragment Analysis

[Copilot]

This PR transforms the test_echoevo_enhancement.py file from a standalone testing utility into a fully integrated Deep Tree Echo system component, addressing the fragment analysis requirements outlined in issue #29.

🔄 Integration Transformation

The file has been enhanced from 249 lines to 685 lines with comprehensive Echo system integration while maintaining full backward compatibility with existing Echoevo.md validation functionality.

Key Changes

🏗️ New Classes Added:

• EchoevoValidationContext - Manages spatial and emotional validation context
• EchoevoEnhancementSystem - Main Echo-integrated validation system with cognitive architecture support

🔊 Echo Functions Implemented:

• echo() - Core cognitive validation propagation with recursive depth control
• echo_validate() - Echo-aware test wrapper function
• get_echo_system() - Global system accessor
• create_echoevo_enhancement_system() - Factory function for system instantiation

🧠 Cognitive Architecture Integration:

• Deep Tree Echo TreeNode integration with spatial context awareness
• ML system and emotional dynamics component integration
• Recursive echo propagation through cognitive validation trees
• Comprehensive validation history tracking and cognitive metrics

🔍 Enhanced Test Coverage:

• All existing tests enhanced with Echo-aware validation patterns
• New test_echo_integration() validates Echo system functionality
• New test_cognitive_architecture_coherence() ensures neural-symbolic terminology compliance
• Cognitive flow pattern detection and validation

Technical Implementation

The system provides graceful fallback when Echo components are unavailable, ensuring compatibility across different deployment environments. Echo propagation includes configurable depth, validation type classification (structural, semantic, cognitive), and comprehensive logging for cognitive tracing.

# Example usage of the new unified interface
system = create_echoevo_enhancement_system()
response = system.echo("Validate cognitive workflow", "cognitive", echo_depth=3)

The integration maintains the original validation criteria while adding cognitive depth through Echo system awareness, transforming the fragment type from EXTENSION to INTEGRATED EXTENSION as specified in the Deep Tree Echo catalog.

Fixes #29.

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