#!/usr/bin/env python3 """ Comprehensive validation of the Felix Framework. This script runs a complete validation of the Felix Framework including: - All three architectures (helix, linear, mesh) - Hypothesis validation (H1, H2, H3) - Performance benchmarking - Statistical analysis and research conclusions This serves as the primary validation script for the research project, providing publication-ready results and analysis. """ import time import json from typing import Dict, Any from src.core.helix_geometry import HelixGeometry from src.comparison.architecture_comparison import ArchitectureComparison, ExperimentalConfig from src.comparison.statistical_analysis import HypothesisValidator from src.comparison.experimental_protocol import ExperimentalProtocol def main(): """Run comprehensive Felix Framework validation.""" print("=" * 60) print("FELIX FRAMEWORK COMPREHENSIVE VALIDATION") print("=" * 60) print() # Initialize components print("Initializing framework components...") helix = HelixGeometry( top_radius=33.0, bottom_radius=0.001, height=33.0, turns=33 ) comparison = ArchitectureComparison( helix=helix, max_agents=50, # Reduced for faster testing enable_detailed_metrics=True ) validator = comparison.get_hypothesis_validator() protocol = ExperimentalProtocol( helix=helix, control_variables=["agent_count", "architecture", "task_load"], response_variables=["throughput", "completion_time", "communication_overhead"] ) print("✓ Components initialized successfully") print() # Phase 1: Architecture Performance Comparison print("Phase 1: Architecture Performance Comparison") print("-" * 40) config = ExperimentalConfig( agent_count=20, simulation_time=1.0, task_load=100, random_seed=42069 ) print(f"Running comparative experiment with {config.agent_count} agents...") start_time = time.time() try: comparison_results = comparison.run_comparative_experiment(config) print("✓ Comparative experiment completed") print(f" Duration: {time.time() - start_time:.2f} seconds") print(f" Architectures tested: {len(comparison_results.performance_metrics)}") # Display performance summary print("\nPerformance Summary:") for metrics in comparison_results.performance_metrics: print(f" {metrics.architecture_name}:") print(f" Throughput: {metrics.throughput:.2f}") print(f" Completion Time: {metrics.task_completion_time:.4f}s") print(f" Communication Overhead: {metrics.communication_overhead:.4f}") print(f" Memory Usage: {metrics.memory_usage:.0f}") print("\nArchitecture Rankings:") for rank, (arch, score) in enumerate(comparison_results.performance_rankings, 1): print(f" {rank}. {arch} (score: {score:.3f})") except Exception as e: print(f"✗ Error in comparative experiment: {e}") return False print() # Phase 2: Hypothesis Validation print("Phase 2: Hypothesis Validation") print("-" * 30) print("Validating research hypotheses...") hypothesis_start = time.time() try: # Validate all hypotheses h1_results = validator.validate_hypothesis_h1(config) print(f"✓ H1 validation completed: {h1_results.conclusion}") h2_results = validator.validate_hypothesis_h2(config) print(f"✓ H2 validation completed: {h2_results.conclusion}") h3_results = validator.validate_hypothesis_h3(config) print(f"✓ H3 validation completed: {h3_results.conclusion}") print(f" Duration: {time.time() - hypothesis_start:.2f} seconds") # Generate research summary all_results = [h1_results, h2_results, h3_results] research_summary = validator.generate_research_summary(all_results) print(f"\nResearch Summary:") print(f" Overall Conclusion: {research_summary['overall_conclusion']}") print(f" Framework Validation: {research_summary['felix_framework_validation']}") print(f"\nHypothesis Results:") for hypothesis in ['H1', 'H2', 'H3']: result = research_summary['hypothesis_validation_summary'][hypothesis] print(f" {hypothesis}: {'SIGNIFICANT' if result['significant'] else 'NOT SIGNIFICANT'} " f"(p={result['p_value']:.4f}, effect={result['effect_size']:.3f})") except Exception as e: print(f"✗ Error in hypothesis validation: {e}") return False print() # Phase 3: Experimental Protocol Validation print("Phase 3: Experimental Protocol Validation") print("-" * 38) print("Running validation protocol...") protocol_start = time.time() try: validation_results = protocol.run_validation_protocol( architectures=["helix_spoke", "linear_pipeline", "mesh_communication"], agent_counts=[5, 10, 15], # Reduced for faster testing replications=2, random_seed=42069 ) print(f"✓ Validation protocol completed") print(f" Duration: {time.time() - protocol_start:.2f} seconds") summary = validation_results["validation_summary"] print(f" Experiments conducted: {summary['experiment_count']}") print(f" Architectures tested: {summary['architectures_tested']}") print(f" Significant metrics: {summary['significant_metrics']}") print(f" Validation strength: {summary['validation_strength']}") print(f" Research recommendation: {summary['research_recommendation']}") except Exception as e: print(f"✗ Error in validation protocol: {e}") return False print() # Phase 4: Performance Analysis print("Phase 4: Performance Analysis") print("-" * 26) print("Analyzing performance characteristics...") try: # Throughput analysis throughput_analysis = comparison.analyze_throughput_characteristics(comparison_results) print("✓ Throughput analysis completed") best_throughput = max(throughput_analysis["architecture_throughputs"].items(), key=lambda x: x[1]) print(f" Best throughput: {best_throughput[0]} ({best_throughput[1]:.2f})") # Memory analysis memory_analysis = comparison.analyze_memory_usage(comparison_results) print("✓ Memory usage analysis completed") most_efficient = memory_analysis["memory_efficiency_rankings"][0] print(f" Most memory efficient: {most_efficient[0]} ({most_efficient[1]:.0f} units)") # Latency analysis latency_analysis = comparison.analyze_latency_distribution(comparison_results) print("✓ Latency distribution analysis completed") if latency_analysis["mean_latencies"]: lowest_latency = min(latency_analysis["mean_latencies"].items(), key=lambda x: x[1]) print(f" Lowest latency: {lowest_latency[0]} ({lowest_latency[1]:.6f}s)") except Exception as e: print(f"✗ Error in performance analysis: {e}") return False print() # Final Summary print("=" * 60) print("VALIDATION SUMMARY") print("=" * 60) total_time = time.time() - start_time print(f"Total validation time: {total_time:.2f} seconds") print() print("Architecture Performance:") winner = comparison_results.performance_rankings[0] print(f" Best overall performance: {winner[0]} (score: {winner[1]:.3f})") print() print("Hypothesis Validation:") supported_count = sum(1 for h in ['H1', 'H2', 'H3'] if research_summary['hypothesis_validation_summary'][h]['significant']) print(f" Hypotheses supported: {supported_count}/3") if supported_count >= 2: print(" ✓ FELIX FRAMEWORK VALIDATION: SUCCESSFUL") print(" Sufficient evidence to support core research claims") else: print(" ⚠ FELIX FRAMEWORK VALIDATION: PARTIAL") print(" Limited evidence for research claims - additional research needed") print() print("Research Readiness:") if summary['research_recommendation'] == "Publication ready": print(" ✓ PUBLICATION READY: Results suitable for peer review") else: print(" ⚠ ADDITIONAL RESEARCH NEEDED: Strengthen evidence before publication") print() print("Felix Framework comprehensive validation completed successfully!") print("=" * 60) return True if __name__ == "__main__": success = main() exit(0 if success else 1)