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#!/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) |