Research-Stack/5-Applications/scripts/ask_swarm_spherion_resonance_analysis.py

#!/usr/bin/env python3
"""
Swarm Query: Spherion Resonance Pattern Analysis

Query the swarm system to analyze resonance patterns in spherions
across the Research Stack topology, focusing on:
- Resonance frequency distribution
- Pyramid height coupling effects
- Negative pyramid void resonance
- Standing wave patterns on spherion surface
- Energy transfer efficiency via resonance
"""

import json
import uuid
from pathlib import Path
from datetime import datetime

def generate_spherion_resonance_request():
    """Generate swarm request for spherion resonance analysis."""
    
    request = {
        "request_id": f"swarm_spherion_resonance_{uuid.uuid4().hex[:12]}",
        "timestamp": datetime.now().isoformat(),
        "query_type": "topology_resonance_analysis",
        "scope": "spherion_resonance_patterns",
        "priority": "P0_CRITICAL",
        "description": "Analyze resonance patterns in spherions across Research Stack topology",
        
        "context": {
            "insight": "The entire topology, at every level, has some form of resonance, especially the spherions",
            "spherion_surface": "S² (2-sphere)",
            "pyramid_coupling": "Pyramid heights modulate spherion resonance frequencies",
            "negative_heights": "Create voids/anti-resonance on spherion surface",
            "resonance_hierarchy": "Spherions exhibit highest resonance due to spherical symmetry"
        },
        
        "analysis_targets": {
            "resonance_frequency_distribution": {
                "description": "Map resonant frequencies across spherion surface",
                "parameters": {
                    "frequency_range": "0.1 Hz to 1000 Hz",
                    "spatial_resolution": "spherical harmonics up to l=10",
                    "temporal_resolution": "dt = 0.01s"
                }
            },
            
            "pyramid_height_coupling": {
                "description": "Analyze how pyramid heights modulate spherion resonance",
                "parameters": {
                    "height_range": "-10 to +10 (arbitrary units)",
                    "coupling_constant": "g (geometric coupling)",
                    "phase_velocity": "v_phase"
                }
            },
            
            "negative_pyramid_voids": {
                "description": "Analyze anti-resonance created by negative pyramid heights",
                "parameters": {
                    "void_threshold": "h < 0",
                    "anti_resonance_strength": "Q_void vs Q_protrusion",
                    "standing_wave_disruption": "pattern analysis"
                }
            },
            
            "standing_wave_patterns": {
                "description": "Identify standing wave patterns on spherion surface",
                "parameters": {
                    "spherical_harmonics": "Y_lm(θ,φ)",
                    "node_anti_node_ratio": "N/A_ratio",
                    "energy_localization": "hot spots"
                }
            },
            
            "energy_transfer_efficiency": {
                "description": "Measure energy transfer efficiency via resonance",
                "parameters": {
                    "transfer_coefficient": "η_resonance",
                    "coupling_matrix": "A_ij(ω)",
                    "phase_delay_effects": "τ_ij interference"
                }
            }
        },
        
        "expected_deliverables": {
            "resonance_spectrum_map": "Frequency vs amplitude heatmap on spherion surface",
            "coupling_phase_diagram": "Pyramid height vs resonant frequency phase space",
            "void_resonance_profile": "Anti-resonance characteristics of negative heights",
            "standing_wave_catalog": "Classification of standing wave modes",
            "efficiency_optimization": "Resonance tuning recommendations for maximum energy transfer"
        },
        
        "integration_points": {
            "pyramid_spherion_work": "Connect to existing pyramid-spherion gear integration",
            "waveform_waveprobe": "Leverage waveform resonance coupling (0.4.3)",
            "topology_resonance": "Use topology resonance hierarchy (0.4.1)",
            "quantum_manifold": "Relate to quantum manifold geometry (0.4)"
        },
        
        "validation_criteria": {
            "frequency_consistency": "Resonant frequencies must satisfy ω_res = √(g/R_sph)",
            "energy_conservation": "Total energy must be conserved across resonance transfer",
            "phase_coherence": "Phase delays must create constructive interference patterns",
            "spherical_symmetry": "Resonance patterns must respect S² symmetry"
        }
    }
    
    return request

def save_request(request, output_path):
    """Save swarm request to file."""
    Path(output_path).parent.mkdir(parents=True, exist_ok=True)
    
    with open(output_path, 'w') as f:
        json.dump(request, f, indent=2)
    
    return output_path

def main():
    """Generate and save spherion resonance analysis request."""
    print("=" * 70)
    print("Swarm Query: Spherion Resonance Pattern Analysis")
    print("=" * 70)
    
    # Generate request
    request = generate_spherion_resonance_request()
    
    # Save request
    output_path = "shared-data/data/swarm_requests/swarm_spherion_resonance_analysis.json"
    saved_path = save_request(request, output_path)
    
    print(f"\nRequest generated and saved to: {saved_path}")
    print(f"Request ID: {request['request_id']}")
    print(f"Priority: {request['priority']}")
    print(f"Analysis targets: {len(request['analysis_targets'])}")
    
    print("\nAnalysis Targets:")
    for target_name, target_info in request['analysis_targets'].items():
        print(f"  - {target_name}: {target_info['description']}")
    
    print("\nExpected Deliverables:")
    for deliverable in request['expected_deliverables'].keys():
        print(f"  - {deliverable}")
    
    print("\nIntegration Points:")
    for integration_point in request['integration_points'].keys():
        print(f"  - {integration_point}")
    
    print("\n✅ Swarm query generation completed successfully")

if __name__ == "__main__":
    main()