Create module 47

module 47

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+#!/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())