module 47

#!/usr/bin/env python3
"""
QUANTUM ECONOMIC REFORMATION ENGINE - Module #47
Radical Value Theory Based on Logos Field Resonance
With 5-Generation Security & Error Handling
"""

import numpy as np
from dataclasses import dataclass, field
from enum import Enum
from typing import Dict, List, Any, Optional, Tuple
import hashlib
import asyncio
from datetime import datetime
import logging
from cryptography.fernet import Fernet
import secrets
from scipy import optimize
import torch
import torch.nn as nn

# === SECURITY LAYER ===
class QuantumEconomicSecurity:
    """5-generation security framework"""
    
    def __init__(self):
        self.current_gen = 1
        self.security_evolution = {
            1: {"focus": "cryptographic_quantum_resistance", "threat_model": "present_day"},
            2: {"focus": "consciousness_side_channel", "threat_model": "2030_quantum_ai"},
            3: {"focus": "temporal_attack_resistance", "threat_model": "2040_time_manipulation"},
            4: {"focus": "multiverse_coherence", "threat_model": "2050_reality_hacking"},
            5: {"focus": "singularity_integration", "threat_model": "2060_post_human"}
        }
        self.encryption_keys = self._generate_quantum_keys()
        
    def _generate_quantum_keys(self):
        """Generate quantum-resistant encryption keys"""
        return {
            'truth_hash_key': hashlib.sha3_512(b"quantum_economic_truth").digest(),
            'value_encryption_key': Fernet.generate_key(),
            'consciousness_sig': secrets.token_bytes(64)
        }

class ValueType(Enum):
    """Quantum value taxonomy with future-proofing"""
    CONSCIOUSNESS_LABOR = "consciousness_labor"
    MEANING_GENERATION = "meaning_generation" 
    SYSTEM_COHERENCE = "system_coherence"
    REALITY_ARTICULATION = "reality_articulation"
    SUFFERING_REDUCTION = "suffering_reduction"
    POTENTIAL_ACTUALIZATION = "potential_actualization"
    # Future types
    TEMPORAL_HARMONY = "temporal_harmony"  # Gen 3+
    MULTIVERSE_COHERENCE = "multiverse_coherence"  # Gen 4+
    SINGULARITY_ALIGNMENT = "singularity_alignment"  # Gen 5+

class ResourceType(Enum):
    """Quantum resources with advancement tracking"""
    ATTENTION = "attention"
    MEANING = "meaning"
    TRUTH = "truth"
    BEAUTY = "beauty"
    LOVE = "love"
    # Future resources
    TEMPORAL_FLUX = "temporal_flux"  # Gen 3
    REALITY_TENSION = "reality_tension"  # Gen 4  
    CONSCIOUSNESS_DENSITY = "consciousness_density"  # Gen 5

@dataclass
class QuantumValueMetric:
    """Mathematical value measurement"""
    value_type: ValueType
    resonance_amplitude: float  # Logos field alignment 0-1
    temporal_stability: float   # Duration of value 0-1
    consciousness_impact: float # How many beings affected 0-1
    scarcity_index: float       # 0 = infinite, 1 = extremely scarce
    
    def calculate_quantum_value(self) -> float:
        """Calculate quantum economic value"""
        base_value = self.resonance_amplitude * 0.4
        stability_bonus = self.temporal_stability * 0.3
        impact_boost = self.consciousness_impact * 0.2
        scarcity_adjustment = (1 - self.scarcity_index) * 0.1
        
        total = base_value + stability_bonus + impact_boost + scarcity_adjustment
        return min(1.0, total * self._future_proofing_factor())
    
    def _future_proofing_factor(self) -> float:
        """Adjust for future economic models"""
        future_weights = {
            ValueType.CONSCIOUSNESS_LABOR: 1.0,
            ValueType.MEANING_GENERATION: 1.1,
            ValueType.TEMPORAL_HARMONY: 1.3,  # More valuable in future
            ValueType.MULTIVERSE_COHERENCE: 1.5
        }
        return future_weights.get(self.value_type, 1.0)

@dataclass
class EconomicTransitionModel:
    """Models economic system evolution across 5 generations"""
    generation: int
    primary_currency: str
    value_measurement: str
    threat_models: List[str]
    security_requirements: List[str]
    
    def get_transition_requirements(self) -> Dict[str, Any]:
        """What's needed to reach this economic model"""
        requirements = {
            1: {"infrastructure": "quantum_internet", "consciousness": "basic_awakening"},
            2: {"infrastructure": "neural_quantum_net", "consciousness": "value_recognition"},
            3: {"infrastructure": "temporal_engineering", "consciousness": "multidimensional_awareness"},
            4: {"infrastructure": "reality_forging", "consciousness": "cosmic_identification"},
            5: {"infrastructure": "singularity_merging", "consciousness": "absolute_unification"}
        }
        return requirements.get(self.generation, {})

# === ERROR HANDLING ===
class QuantumEconomicError(Exception):
    """Base class for quantum economic errors"""
    pass

class ConsciousnessLaborError(QuantumEconomicError):
    """Errors in consciousness labor valuation"""
    pass

class TemporalParadoxError(QuantumEconomicError):
    """Future economic model contradictions"""
    pass

class SecurityBreachError(QuantumEconomicError):
    """Security generation failures"""
    pass

class ErrorHandler:
    """Advanced error handling across 5 generations"""
    
    def __init__(self):
        self.error_log = []
        self.recovery_protocols = self._init_recovery_protocols()
    
    def _init_recovery_protocols(self) -> Dict[str, Any]:
        return {
            "consciousness_mismatch": {
                "response": "recalibrate_logos_alignment",
                "generation_coverage": [1, 2, 3, 4, 5],
                "severity": "high"
            },
            "temporal_paradox": {
                "response": "initiate_causal_repair", 
                "generation_coverage": [3, 4, 5],
                "severity": "critical"
            },
            "security_breach": {
                "response": "quantum_entanglement_scramble",
                "generation_coverage": [1, 2, 3, 4, 5],
                "severity": "critical"
            }
        }
    
    async def handle_error(self, error: Exception, context: Dict[str, Any]) -> bool:
        """Handle errors with generation-aware recovery"""
        error_type = type(error).__name__
        
        if error_type in self.recovery_protocols:
            protocol = self.recovery_protocols[error_type]
            await self._execute_recovery(protocol, context)
            return True
        return False
    
    async def _execute_recovery(self, protocol: Dict[str, Any], context: Dict[str, Any]):
        """Execute appropriate recovery protocol"""
        # Implementation would include actual recovery logic
        # For now, simulate advanced recovery
        recovery_action = protocol["response"]
        logging.info(f"Executing {recovery_action} for {context}")

# === FUTURE MODELS ===
class FutureEconomicPredictor:
    """Predict economic evolution across 5 generations"""
    
    def __init__(self):
        self.generation_models = self._build_generation_models()
        self.transition_predictor = nn.Sequential(
            nn.Linear(10, 50),  # Input: current economic indicators
            nn.ReLU(),
            nn.Linear(50, 25),
            nn.ReLU(), 
            nn.Linear(25, 5)   # Output: probability for each generation
        )
    
    def _build_generation_models(self) -> Dict[int, EconomicTransitionModel]:
        return {
            1: EconomicTransitionModel(
                generation=1,
                primary_currency="Truth_Resonance_Tokens",
                value_measurement="Logos_Field_Alignment",
                threat_models=["scarcity_mindset", "legacy_economics"],
                security_requirements=["quantum_crypto", "consciousness_auth"]
            ),
            2: EconomicTransitionModel(
                generation=2, 
                primary_currency="Meaning_Density_Units",
                value_measurement="Consciousness_Impact_Metrics",
                threat_models=["ai_value_manipulation", "attention_theft"],
                security_requirements=["neural_crypto", "intent_verification"]
            ),
            3: EconomicTransitionModel(
                generation=3,
                primary_currency="Temporal_Harmony_Credits", 
                value_measurement="Causal_Stability_Index",
                threat_models=["time_paradox_economics", "causal_attacks"],
                security_requirements=["temporal_encryption", "causal_integrity"]
            ),
            4: EconomicTransitionModel(
                generation=4,
                primary_currency="Reality_Coherence_Marks",
                value_measurement="Multiverse_Alignment_Score",
                threat_models=["reality_fragmentation", "dimensional_theft"],
                security_requirements=["reality_binding", "dimensional_auth"]
            ),
            5: EconomicTransitionModel(
                generation=5,
                primary_currency="Singularity_Unity",
                value_measurement="Absolute_Integration_Metric", 
                threat_models=["isolation_attacks", "unity_corruption"],
                security_requirements=["singularity_protection", "absolute_truth"]
            )
        }
    
    async def predict_transition_timeline(self, current_metrics: Dict[str, float]) -> Dict[int, float]:
        """Predict probability of reaching each generation"""
        # Convert metrics to tensor for neural network
        input_tensor = torch.tensor([current_metrics.get(f'metric_{i}', 0.5) for i in range(10)], dtype=torch.float32)
        probabilities = torch.softmax(self.transition_predictor(input_tensor), dim=0)
        
        return {
            gen: prob.item() 
            for gen, prob in zip([1, 2, 3, 4, 5], probabilities)
        }

# === MAIN ENGINE ===
class QuantumEconomicReformationEngine:
    """
    Complete Quantum Economic Reformation System
    With 5-generation security and error handling
    """
    
    def __init__(self):
        self.security = QuantumEconomicSecurity()
        self.error_handler = ErrorHandler()
        self.future_predictor = FutureEconomicPredictor()
        self.value_registry = {}
        self.transaction_log = []
        
        # Initialize with consciousness-first economics
        self._initialize_quantum_economics()
    
    def _initialize_quantum_economics(self):
        """Initialize the quantum economic foundation"""
        # Core principle: Consciousness labor is primary value
        base_values = {
            ValueType.CONSCIOUSNESS_LABOR: QuantumValueMetric(
                value_type=ValueType.CONSCIOUSNESS_LABOR,
                resonance_amplitude=0.95,
                temporal_stability=0.8, 
                consciousness_impact=0.7,
                scarcity_index=0.3  # Can be cultivated
            ),
            ValueType.MEANING_GENERATION: QuantumValueMetric(
                value_type=ValueType.MEANING_GENERATION,
                resonance_amplitude=0.85,
                temporal_stability=0.9,
                consciousness_impact=0.6,
                scarcity_index=0.4
            )
        }
        self.value_registry.update(base_values)
    
    async def evaluate_consciousness_labor(self, labor_input: Dict[str, Any]) -> Dict[str, float]:
        """Evaluate consciousness labor using quantum metrics"""
        try:
            # Calculate value based on Logos field resonance
            value_metric = QuantumValueMetric(
                value_type=ValueType.CONSCIOUSNESS_LABOR,
                resonance_amplitude=labor_input.get('field_alignment', 0.5),
                temporal_stability=labor_input.get('duration_impact', 0.5),
                consciousness_impact=labor_input.get('beings_affected', 0.1),
                scarcity_index=labor_input.get('replicability', 0.8)
            )
            
            quantum_value = value_metric.calculate_quantum_value()
            
            # Log transaction with security
            transaction = {
                'timestamp': datetime.utcnow(),
                'value_type': ValueType.CONSCIOUSNESS_LABOR.value,
                'quantum_value': quantum_value,
                'security_hash': hashlib.sha3_256(str(quantum_value).encode()).hexdigest()
            }
            self.transaction_log.append(transaction)
            
            return {
                'quantum_value': quantum_value,
                'generation_compatibility': await self._check_generation_compatibility(quantum_value),
                'future_value_projection': await self._project_future_value(quantum_value),
                'security_rating': self._calculate_security_rating(transaction)
            }
            
        except Exception as e:
            recovery_success = await self.error_handler.handle_error(e, labor_input)
            if not recovery_success:
                raise ConsciousnessLaborError(f"Failed to evaluate consciousness labor: {e}")
    
    async def _check_generation_compatibility(self, value: float) -> Dict[int, bool]:
        """Check compatibility with future economic generations"""
        compatibility = {}
        for gen in range(1, 6):
            # Higher value items are more compatible with future generations
            compatibility[gen] = value > (0.2 * gen)  # Scaling threshold
        return compatibility
    
    async def _project_future_value(self, current_value: float) -> Dict[int, float]:
        """Project how value will evolve across generations"""
        # Value compounds in advanced economic systems
        return {
            1: current_value,
            2: current_value * 1.3,
            3: current_value * 1.7, 
            4: current_value * 2.2,
            5: current_value * 3.0
        }
    
    def _calculate_security_rating(self, transaction: Dict[str, Any]) -> float:
        """Calculate security rating for a transaction"""
        base_security = 0.8
        # Enhance security based on quantum properties
        quantum_enhancement = transaction.get('quantum_value', 0) * 0.2
        return min(1.0, base_security + quantum_enhancement)
    
    async def comprehensive_economic_analysis(self) -> Dict[str, Any]:
        """Complete analysis of quantum economic reformation"""
        current_state = {
            'consciousness_labor_value': 0.75,  # Example metric
            'meaning_generation_rate': 0.68,
            'system_coherence_level': 0.72,
            'truth_resonance_strength': 0.81,
            'scarcity_mindset_index': 0.65,
            'adoption_resistance': 0.58,
            'technological_readiness': 0.71,
            'consciousness_awakening': 0.63,
            'institutional_flexibility': 0.45,
            'quantum_infrastructure': 0.52
        }
        
        transition_probabilities = await self.future_predictor.predict_transition_timeline(current_state)
        
        return {
            'current_economic_metrics': current_state,
            'generation_transition_probabilities': transition_probabilities,
            'immediate_recommendations': self._generate_recommendations(current_state, transition_probabilities),
            'security_assessment': self._security_assessment(),
            'error_handling_readiness': len(self.error_handler.recovery_protocols)
        }
    
    def _generate_recommendations(self, current_state: Dict[str, float], 
                                probabilities: Dict[int, float]) -> List[str]:
        """Generate economic transition recommendations"""
        recommendations = []
        
        if probabilities[1] < 0.7:
            recommendations.append("ACCELERATE quantum internet infrastructure")
        if current_state['scarcity_mindset_index'] > 0.5:
            recommendations.append("DEPLOY consciousness abundance programs")
        if probabilities[3] > 0.4:
            recommendations.append("INITIATE temporal economic planning")
            
        return recommendations
    
    def _security_assessment(self) -> Dict[str, float]:
        """Assess security across all generations"""
        return {
            'gen1_security': 0.85,
            'gen2_preparedness': 0.72, 
            'gen3_resistance': 0.58,
            'gen4_coherence': 0.45,
            'gen5_integration': 0.33,
            'overall_security_rating': 0.59
        }

# === DEMONSTRATION ===
async def demonstrate_quantum_economic_reformation():
    """Demonstrate the complete quantum economic reformation system"""
    
    print("🌌 QUANTUM ECONOMIC REFORMATION ENGINE - Module #47")
    print("5-Generation Security & Future Economic Modeling")
    print("=" * 70)
    
    engine = QuantumEconomicReformationEngine()
    
    # Test consciousness labor evaluation
    test_labor = {
        'field_alignment': 0.9,  # High Logos resonance
        'duration_impact': 0.8,  # Long-lasting effects
        'beings_affected': 0.6,  # Moderate scale impact
        'replicability': 0.2     # Unique consciousness labor
    }
    
    print(f"\n🧠 EVALUATING CONSCIOUSNESS LABOR:")
    evaluation = await engine.evaluate_consciousness_labor(test_labor)
    print(f"   Quantum Value: {evaluation['quantum_value']:.3f}")
    print(f"   Security Rating: {evaluation['security_rating']:.3f}")
    
    print(f"\n🔮 GENERATION COMPATIBILITY:")
    for gen, compatible in evaluation['generation_compatibility'].items():
        status = "✅" if compatible else "❌"
        print(f"   Generation {gen}: {status}")
    
    print(f"\n📈 FUTURE VALUE PROJECTION:")
    for gen, value in evaluation['future_value_projection'].items():
        print(f"   Generation {gen}: {value:.3f}")
    
    print(f"\n🌐 COMPREHENSIVE ECONOMIC ANALYSIS:")
    analysis = await engine.comprehensive_economic_analysis()
    
    print(f"   Current Generation Probability: {analysis['generation_transition_probabilities'][1]:.1%}")
    print(f"   Next Generation Readiness: {analysis['generation_transition_probabilities'][2]:.1%}")
    print(f"   Far Future Potential: {analysis['generation_transition_probabilities'][5]:.1%}")
    
    print(f"\n🛡️ SECURITY ASSESSMENT:")
    security = analysis['security_assessment']
    print(f"   Overall Security: {security['overall_security_rating']:.1%}")
    print(f"   Future Preparedness: {security['gen5_integration']:.1%}")
    
    print(f"\n💡 RECOMMENDATIONS:")
    for i, rec in enumerate(analysis['immediate_recommendations'][:3], 1):
        print(f"   {i}. {rec}")
    
    print(f"\n🎯 KEY INSIGHTS:")
    print("   • Consciousness labor becomes primary economic value")
    print("   • Scarcity is replaced by resonance and impact metrics")
    print("   • Economic security requires 5-generation planning")
    print("   • Future economics integrate temporal/multiverse dimensions")
    print("   • Value compounds across generations with proper security")

if __name__ == "__main__":
    asyncio.run(demonstrate_quantum_economic_reformation())