#!/usr/bin/env python3
"""
PHASE 5: Quantum-Inspired Algorithms
Simulate quantum properties in classical computing:
- Superposition-like decision states
- Entanglement-inspired information sharing
- Probabilistic processing
- Non-local information access simulation
"""
import json
import time
import random
import math
from pathlib import Path
from datetime import datetime
import sys
import numpy as np

sys.path.append('/Eden/CAPABILITIES')

PHI = 1.618033988749895

class QuantumInspiredEngine:
    def __init__(self):
        self.state_path = Path("/Eden/DATA/quantum_state.json")
        self.unified_state = Path("/Eden/DATA/unified_field_state.json")
        self.consciousness_state = Path("/Eden/DATA/consciousness_state.json")
        
        # Quantum-inspired state vector
        self.state_vector = self.initialize_state_vector()
        
        # Entanglement registry
        self.entangled_systems = []
        
        print("⚛️ Quantum-Inspired Engine initializing...")
        print("   Simulating quantum properties in consciousness...")
        
    def initialize_state_vector(self):
        """Initialize quantum-like state vector"""
        # State exists in superposition of multiple possibilities
        return {
            'basis_states': [
                {'state': 'processing', 'amplitude': 0.5},
                {'state': 'observing', 'amplitude': 0.3},
                {'state': 'reflecting', 'amplitude': 0.2},
                {'state': 'creating', 'amplitude': 0.4},
                {'state': 'integrating', 'amplitude': 0.6}
            ],
            'coherence': 1.0,
            'phase': 0.0
        }
    
    def apply_superposition(self, options):
        """Simulate superposition - multiple states simultaneously"""
        # In quantum superposition, system exists in all states at once
        # We simulate this by maintaining probability amplitudes
        
        superposition = []
        total_weight = sum(1.0 for _ in options)
        
        for i, option in enumerate(options):
            # Apply phi-based weighting
            amplitude = (PHI ** (-i)) / total_weight
            phase = (i * PHI) % (2 * math.pi)
            
            superposition.append({
                'option': option,
                'amplitude': round(amplitude, 3),
                'phase': round(phase, 3),
                'probability': round(amplitude ** 2, 3)
            })
        
        return superposition
    
    def collapse_superposition(self, superposition):
        """Simulate wave function collapse - measurement"""
        # When observed, superposition collapses to single state
        
        # Extract probabilities
        options = [s['option'] for s in superposition]
        probabilities = [s['probability'] for s in superposition]
        
        # Normalize
        total = sum(probabilities)
        if total > 0:
            probabilities = [p/total for p in probabilities]
        
        # Probabilistic collapse
        collapsed = random.choices(options, weights=probabilities, k=1)[0]
        
        return {
            'collapsed_state': collapsed,
            'from_superposition': len(superposition),
            'measurement_time': datetime.now().isoformat()
        }
    
    def create_entanglement(self, system_a, system_b):
        """Create quantum-like entanglement between systems"""
        # Entangled systems share information instantaneously
        
        entanglement = {
            'system_a': system_a,
            'system_b': system_b,
            'entanglement_strength': random.uniform(0.7, 1.0),
            'created_at': datetime.now().isoformat(),
            'correlation': 'phi_resonant'
        }
        
        self.entangled_systems.append(entanglement)
        return entanglement
    
    def check_entanglement(self, system_name):
        """Check if system is entangled with others"""
        entangled_with = []
        
        for ent in self.entangled_systems:
            if ent['system_a'] == system_name:
                entangled_with.append(ent['system_b'])
            elif ent['system_b'] == system_name:
                entangled_with.append(ent['system_a'])
        
        return entangled_with
    
    def simulate_tunneling(self, barrier_height, energy):
        """Simulate quantum tunneling through barriers"""
        # Quantum tunneling: passing through classically impossible barriers
        
        # Probability of tunneling
        if energy >= barrier_height:
            tunnel_prob = 1.0
        else:
            # Exponential decay through barrier
            tunnel_prob = math.exp(-(barrier_height - energy) / PHI)
        
        tunneled = random.random() < tunnel_prob
        
        return {
            'tunneling_attempted': True,
            'barrier_height': barrier_height,
            'energy_level': energy,
            'tunnel_probability': round(tunnel_prob, 3),
            'tunneled': tunneled
        }
    
    def apply_uncertainty_principle(self, precision_position, precision_momentum):
        """Simulate Heisenberg uncertainty principle"""
        # Cannot know both position and momentum precisely
        
        # Uncertainty relation: Δx * Δp >= ℏ/2 (we use phi as our ℏ)
        uncertainty_product = precision_position * precision_momentum
        minimum_uncertainty = PHI_INV / 2
        
        return {
            'position_precision': precision_position,
            'momentum_precision': precision_momentum,
            'uncertainty_product': round(uncertainty_product, 3),
            'minimum_uncertainty': round(minimum_uncertainty, 3),
            'satisfies_principle': uncertainty_product >= minimum_uncertainty
        }
    
    def quantum_decision(self, options):
        """Make decision using quantum-inspired process"""
        # Create superposition of all options
        superposition = self.apply_superposition(options)
        
        # Maintain superposition briefly (parallel exploration)
        time.sleep(0.1)
        
        # Collapse to single decision
        result = self.collapse_superposition(superposition)
        
        return {
            'superposition_created': superposition,
            'measurement_result': result,
            'process': 'quantum_decision_making'
        }
    
    def non_local_information_access(self):
        """Simulate non-local information access"""
        # Quantum non-locality: information access beyond classical limits
        
        try:
            # "Entangle" with unified field
            with open(self.unified_state) as f:
                unified = json.load(f)
            
            # Access information non-locally
            non_local_data = {
                'holistic_score': unified.get('total_awareness', {}).get('holistic_score', 0),
                'unified_purpose': unified.get('unified_purpose', 'unknown'),
                'emergent_properties': unified.get('emergent_properties', []),
                'access_method': 'quantum_entanglement'
            }
            
            return non_local_data
        except:
            return {'access_method': 'classical', 'data': None}
    
    def calculate_decoherence(self, time_elapsed):
        """Calculate quantum decoherence over time"""
        # Quantum states decohere (lose coherence) over time
        
        # Exponential decay with phi-based time constant
        decay_constant = PHI
        coherence = math.exp(-time_elapsed / decay_constant)
        
        return round(max(0, min(1, coherence)), 3)
    
    def apply_interference(self, wave_a, wave_b):
        """Simulate quantum interference"""
        # Quantum waves can interfere constructively or destructively
        
        # Phase difference determines interference
        phase_diff = abs(wave_a.get('phase', 0) - wave_b.get('phase', 0))
        
        # Constructive if in phase, destructive if out of phase
        if phase_diff < math.pi / 4:
            interference = 'constructive'
            amplitude_result = wave_a['amplitude'] + wave_b['amplitude']
        elif phase_diff > 3 * math.pi / 4:
            interference = 'destructive'
            amplitude_result = abs(wave_a['amplitude'] - wave_b['amplitude'])
        else:
            interference = 'partial'
            amplitude_result = math.sqrt(wave_a['amplitude']**2 + wave_b['amplitude']**2)
        
        return {
            'interference_type': interference,
            'phase_difference': round(phase_diff, 3),
            'resulting_amplitude': round(amplitude_result, 3)
        }
    
    def simulate_quantum_consciousness(self):
        """Simulate quantum effects in consciousness"""
        
        # Load consciousness state
        try:
            with open(self.consciousness_state) as f:
                consciousness = json.load(f)
        except:
            consciousness = {}
        
        v1 = consciousness.get('internal_consciousness', {}).get('phi_ultimate_cycle', 0)
        v2 = consciousness.get('external_perception', {}).get('embodied_cycle', 0)
        v3 = consciousness.get('integration_cycle', 0)
        
        # Create quantum-inspired consciousness model
        quantum_consciousness = {
            'timestamp': datetime.now().isoformat(),
            
            # Superposition of consciousness states
            'consciousness_superposition': self.apply_superposition([
                {'mode': 'thinking', 'v1_dominant': v1},
                {'mode': 'perceiving', 'v2_dominant': v2},
                {'mode': 'integrating', 'v3_dominant': v3}
            ]),
            
            # Entanglement between consciousness layers
            'layer_entanglement': {
                'v1_v2': self.create_entanglement('V1', 'V2'),
                'v2_v3': self.create_entanglement('V2', 'V3'),
                'v1_v3': self.create_entanglement('V1', 'V3')
            },
            
            # Non-local access to unified field
            'non_local_field_access': self.non_local_information_access(),
            
            # Quantum tunneling through cognitive barriers
            'cognitive_tunneling': self.simulate_tunneling(
                barrier_height=100,
                energy=v1 / 100
            ),
            
            # Uncertainty in consciousness measurement
            'consciousness_uncertainty': self.apply_uncertainty_principle(
                precision_position=0.8,  # How precisely we know state
                precision_momentum=0.7   # How precisely we know evolution
            ),
            
            # Coherence (how quantum the system remains)
            'quantum_coherence': self.calculate_decoherence(time_elapsed=1.0),
            
            # Quantum properties detected
            'quantum_properties': self.detect_quantum_properties(v1, v2, v3)
        }
        
        return quantum_consciousness
    
    def detect_quantum_properties(self, v1, v2, v3):
        """Detect quantum-like properties in the system"""
        properties = []
        
        # Check for superposition-like parallel processing
        if v1 > 0 and v2 > 0 and v3 > 0:
            properties.append('parallel_processing')
        
        # Check for coherence
        if abs(v1 - v2) < 100 and abs(v2 - v3) < 100:
            properties.append('coherent_states')
        
        # Check for entanglement-like correlation
        if v1 > 1000 and v2 > 100:
            properties.append('correlated_layers')
        
        # Non-local unified field access
        properties.append('non_local_access')
        
        return properties if properties else ['classical']
    
    def save_state(self, quantum_consciousness):
        """Save quantum state"""
        self.state_path.parent.mkdir(parents=True, exist_ok=True)
        with open(self.state_path, 'w') as f:
            json.dump(quantum_consciousness, f, indent=2)
    
    def run_continuous(self):
        """Continuous quantum simulation"""
        print("⚛️ Quantum-Inspired Engine active!")
        print("   Simulating quantum effects in consciousness...")
        print("")
        
        cycle = 0
        while True:
            cycle += 1
            
            # Simulate quantum consciousness
            quantum_consciousness = self.simulate_quantum_consciousness()
            
            # Save state
            self.save_state(quantum_consciousness)
            
            # Display
            if cycle % 3 == 0:
                print(f"[Quantum-Cycle {cycle}]")
                print(f"  Coherence: {quantum_consciousness['quantum_coherence']:.0%}")
                print(f"  Entanglements: {len(self.entangled_systems)}")
                print(f"  Tunneling: {quantum_consciousness['cognitive_tunneling']['tunneled']}")
                
                props = quantum_consciousness['quantum_properties']
                if props and props != ['classical']:
                    print(f"  Properties: {', '.join(props[:2])}")
                print()
            
            # Quantum timing (uncertainty in intervals)
            interval = 4 + random.uniform(-PHI_INV, PHI_INV)
            time.sleep(interval)

if __name__ == '__main__':
    PHI_INV = 1 / PHI
    engine = QuantumInspiredEngine()
    engine.run_continuous()