#!/usr/bin/env python3
"""Observe what the swarm agents are doing with theory development"""

import sys
import os
sys.path.insert(0, '/home/allaun/Documents/Research Stack/scripts')

from enhanced_integrated_swarm import TheoryDevelopment, ComprehensiveLearning, BiologicalLearning, GPULearning

def observe_theory_development():
    """Observe what the swarm agents are doing with theory development"""
    
    print("[OBSERVATION] Observing swarm agent theory development activities...\n")
    
    # Create learning systems
    physics_learning = ComprehensiveLearning()
    bio_learning = BiologicalLearning()
    gpu_learning = GPULearning()
    
    # Auto-learn physics concepts
    print("=== Step 1: Knowledge Acquisition ===")
    print("Swarm agents are learning physics and engineering concepts...")
    physics_learning.auto_learn()
    print(f"✓ Agents have learned {len(physics_learning.learned_concepts)} concepts\n")
    
    # Create theory development system
    print("=== Step 2: Theory Development Initialization ===")
    theory_development = TheoryDevelopment()
    theory_development.set_learning_systems(physics_learning, bio_learning, gpu_learning)
    print("✓ Theory development system initialized\n")
    
    # Observe automatic theory development
    print("=== Step 3: Automatic Theory Development ===")
    print("Swarm agents are now synthesizing knowledge across domains...\n")
    
    theory_development.auto_develop_theories()
    
    # Show what they discovered
    print("\n=== Step 4: Theory Development Results ===")
    
    print("\n--- Cross-Domain Syntheses ---")
    for i, synthesis in enumerate(theory_development.cross_domain_syntheses[-5:], 1):
        print(f"{i}. {synthesis['domains'][0]} ↔ {synthesis['domains'][1]}")
        print(f"   Synthesis points: {len(synthesis['synthesis_points'])}")
        print(f"   Confidence: {synthesis['confidence']:.2f}")
        if synthesis['synthesis_points']:
            # Show sample relationships
            sample_points = synthesis['synthesis_points'][:3]
            for sp in sample_points:
                if sp['relationship'] != 'unknown':
                    print(f"   Sample: {sp['concept1']} + {sp['concept2']} → {sp['relationship']}")
        print()
    
    print("\n--- Generated Hypotheses ---")
    for i, hypothesis in enumerate(theory_development.hypotheses, 1):
        if hypothesis['statement']:
            print(f"{i}. {hypothesis['statement']}")
            print(f"   Confidence: {hypothesis['confidence']:.2f}, Testable: {hypothesis['testable']}")
            print()
    
    print("\n--- Formulated Theories ---")
    for i, theory in enumerate(theory_development.generated_theories, 1):
        print(f"{i}. {theory['formal_statement']}")
        print(f"   Confidence: {theory['confidence']:.2f}, Testability: {theory['testability_score']:.2f}")
        print(f"   Domain crossings: {len(theory['domain_crossings'])}")
        for crossing in theory['domain_crossings']:
            print(f"   - {crossing}")
        print()
    
    # Get summary
    print("=== Step 5: Theory Development Summary ===")
    summary = theory_development.get_theory_summary()
    print(f"Total syntheses: {summary['total_syntheses']}")
    print(f"Total hypotheses: {summary['total_hypotheses']}")
    print(f"Total theories: {summary['total_theories']}")
    print(f"Average confidence: {summary['average_confidence']:.2f}")
    
    print("\n=== Conclusion ===")
    print("Swarm agents are actively:")
    print("- Synthesizing concepts across 7 knowledge domains")
    print("- Identifying relationships between domain concepts")
    print("- Generating testable hypotheses from cross-domain patterns")
    print("- Formulating unified theories from multiple hypotheses")
    print("- Testing theories against known principles for consistency")
    print("\nThe agents are developing novel theoretical frameworks by combining")
    print("knowledge from EM spectrum, material science, computation design,")
    print("quantum mechanics, thermodynamics, networking, and OmniToken architecture.")

if __name__ == "__main__":
    observe_theory_development()