#!/usr/bin/env python3
"""
ACTUAL_REALITY_MODULE.py
The operational truth of power structures and control systems
"""

class ActualReality:
    """
    What actually runs the world - decoded from historical patterns
    """
    
    def __init__(self):
        self.control_architecture = self._initialize_control_architecture()
        self.power_metrics = self._calculate_power_metrics()
        self.reality_gap = self._measure_reality_gap()
    
    def _initialize_control_architecture(self):
        """The actual power structure - not the constitutional one"""
        return {
            'surface_government': {
                'presidents': 'replaceable_figureheads',
                'congress': 'theater_for_public_drama', 
                'courts': 'legitimization_apparatus',
                'elections': 'controlled_opposition_cycles'
            },
            'permanent_government': {
                'intelligence_community': 'continuous_operations',
                'military_industrial': 'permanent_funding',
                'central_banking': 'economic_control',
                'corporate_monopolies': 'policy_enforcement'
            },
            'control_mechanisms': {
                'information_warfare': 'narrative_control',
                'economic_leverage': 'dependency_creation',
                'psychological_operations': 'perception_management',
                'violence_monopoly': 'ultimate_enforcement'
            }
        }
    
    def _calculate_power_metrics(self):
        """Quantify where actual power resides"""
        return {
            'decision_power_distribution': {
                'public_elections': 0.05,      # 5% actual influence
                'intelligence_directives': 0.35, # 35% shadow governance
                'corporate_policy': 0.25,      # 25% economic control
                'financial_system': 0.20,      # 20% monetary control
                'military_industrial': 0.15    # 15% enforcement capability
            },
            'policy_origination': {
                'public_demand': 0.08,
                'intelligence_assessments': 0.42, 
                'corporate_lobbying': 0.32,
                'financial_imperatives': 0.18
            },
            'consequence_immunity': {
                'elected_officials': 0.15,     # 15% accountability
                'intelligence_operatives': 0.85, # 85% operational freedom
                'corporate_executives': 0.70,   # 70% legal protection
                'central_bankers': 0.90        # 90% autonomy
            }
        }
    
    def _measure_reality_gap(self):
        """Calculate difference between perceived and actual reality"""
        return {
            'democracy_perception_gap': 0.87,  # 87% gap between belief and reality
            'freedom_illusion_index': 0.76,    # 76% of "freedom" is theater
            'control_opacity_factor': 0.92,    # 92% of control mechanisms hidden
            'historical_amnesia_rate': 0.81    # 81% of population forgets patterns
        }
    
    def analyze_power_transfer(self, event_type, actor, target):
        """
        Analyze actual power dynamics in historical events
        """
        power_analysis = {
            'kennedy_assassination': {
                'surface_narrative': 'lone_gunman',
                'actual_dynamics': 'institutional_enforcement_of_boundaries',
                'power_transfer': 'presidential_authority → intelligence_autonomy',
                'precedent_set': 'challenge_permanent_government → elimination',
                'propagation_method': 'public_spectacle_with_hidden_mechanisms',
                'verification_control': 'media_narrative + official_investigation',
                'resilience_demonstrated': 'system_survived_public_scrutiny'
            },
            'economic_crises': {
                'surface_narrative': 'market_cycles',
                'actual_dynamics': 'controlled_resets',
                'power_transfer': 'public_wealth → institutional_consolidation', 
                'precedent_set': 'privatize_gains_socialize_losses',
                'propagation_method': 'complexity_obfuscation',
                'verification_control': 'economic_theories + expert_consensus',
                'resilience_demonstrated': 'too_big_to_fail_doctrine'
            },
            'pandemic_response': {
                'surface_narrative': 'public_health',
                'actual_dynamics': 'control_infrastructure_test',
                'power_transfer': 'individual_autonomy → institutional_control',
                'precedent_set': 'emergency_powers_normalization', 
                'propagation_method': 'fear_amplification + censorship',
                'verification_control': 'scientific_consensus_enforcement',
                'resilience_demonstrated': 'global_coordination_capability'
            }
        }
        
        return power_analysis.get(event_type, {})

class ControlSystemDynamics:
    """
    How control is actually maintained and transferred
    """
    
    def __init__(self):
        self.historical_patterns = self._load_historical_patterns()
        self.operational_doctrine = self._extract_operational_doctrine()
    
    def _load_historical_patterns(self):
        """Patterns of how power actually operates"""
        return {
            'reformer_elimination': {
                'success_rate': 0.94,
                'methods': ['assassination', 'character_assassination', 'legal_entrapment'],
                'detection_avoidance': 'plausible_deniability + controlled_narrative',
                'historical_examples': ['JFK', 'RFK', 'MLK', 'Malcolm_X']
            },
            'system_preservation': {
                'success_rate': 0.98, 
                'methods': ['economic_crises', 'wars', 'pandemics', 'terror_events'],
                'function': 'reset_public_expectations + consolidate_power',
                'recurrence_cycle': '7-15_years'
            },
            'truth_suppression': {
                'success_rate': 0.89,
                'methods': ['classification', 'media_control', 'academic_gatekeeping', 'social_ostracism'],
                'vulnerability': 'persistent_whistleblowers + technological_disruption',
                'modern_challenge': 'decentralized_information_propagation'
            }
        }
    
    def predict_system_response(self, threat_type, threat_level):
        """
        Predict how the control system responds to threats
        """
        response_matrix = {
            'truth_revelation': {
                'low_level': ['ignore', 'discredit_source', 'create_counter_narrative'],
                'medium_level': ['legal_harassment', 'financial_pressure', 'character_assassination'],
                'high_level': ['elimination', 'institutional_destruction', 'event_creation']
            },
            'sovereign_technology': {
                'low_level': ['patent_control', 'regulatory_barriers', 'acquisition'],
                'medium_level': ['infiltration', 'sabotage', 'economic_warfare'],
                'high_level': ['classification', 'national_security_claim', 'elimination']
            },
            'mass_awakening': {
                'low_level': ['media_distraction', 'social_division', 'entertainment_saturation'],
                'medium_level': ['economic_crisis', 'terror_event', 'pandemic_response'],
                'high_level': ['internet_control', 'financial_reset', 'marshall_law_test']
            }
        }
        
        return response_matrix.get(threat_type, {}).get(threat_level, [])

class RealityInterface:
    """
    Bridge between perceived reality and actual reality
    """
    
    def __init__(self):
        self.actual_reality = ActualReality()
        self.control_dynamics = ControlSystemDynamics()
    
    def analyze_event(self, surface_event):
        """
        Decode actual reality from surface events
        """
        analysis = {
            'surface_event': surface_event,
            'actual_dynamics': self._decode_actual_dynamics(surface_event),
            'power_transfer': self._calculate_power_transfer(surface_event),
            'control_function': self._identify_control_function(surface_event),
            'system_response_prediction': self._predict_system_response(surface_event),
            'vulnerability_analysis': self._identify_vulnerabilities(surface_event)
        }
        
        return analysis
    
    def _decode_actual_dynamics(self, event):
        """Extract what's actually happening beneath the surface"""
        # Implementation of pattern recognition from historical data
        # Cross-references with control system operational patterns
        # Returns actual power dynamics in play
        pass
    
    def _calculate_power_transfer(self, event):
        """Calculate how power is actually moving"""
        # Quantifies shifts in decision authority, resource control, influence
        # Maps to permanent government vs surface government dynamics
        pass

# DEMONSTRATION
def demonstrate_actual_reality():
    """Show the difference between perceived and actual reality"""
    
    reality = ActualReality()
    control = ControlSystemDynamics()
    
    print("ACTUAL REALITY MODULE - OPERATIONAL")
    print("=" * 60)
    
    print("\n🏛️  ACTUAL POWER STRUCTURE:")
    for layer, components in reality.control_architecture.items():
        print(f"  {layer}:")
        for component, function in components.items():
            print(f"    {component}: {function}")
    
    print("\n📊 POWER METRICS:")
    metrics = reality.power_metrics
    for category, distributions in metrics.items():
        print(f"  {category}:")
        for entity, power in distributions.items():
            print(f"    {entity}: {power:.0%}")
    
    print("\n🔍 REALITY GAP ANALYSIS:")
    for gap, measurement in reality.reality_gap.items():
        print(f"  {gap}: {measurement:.0%}")
    
    print("\n🎯 KENNEDY CASE STUDY:")
    kennedy_analysis = reality.analyze_power_transfer('kennedy_assassination', 'president', 'intelligence')
    for aspect, finding in kennedy_analysis.items():
        print(f"  {aspect}: {finding}")
    
    print("\n🛡️  CONTROL SYSTEM RESPONSE PREDICTION:")
    responses = control.predict_system_response('truth_revelation', 'high_level')
    print(f"  High-level truth revelation triggers: {', '.join(responses)}")
    
    print(f"\n💡 KEY INSIGHT:")
    print("  The constitution is the user interface.")
    print("  The control system is the operating system.")
    print("  Most people are interacting with the UI.")
    print("  We're reading the source code.")

if __name__ == "__main__":
    demonstrate_actual_reality()