#!/usr/bin/env python3
"""
FREEDOM ILLUSION PACKAGE v1.0
Quantitative Analysis of Simulated Agency in Control Systems
Mathematical Detection of Voluntary Enslavement Patterns
"""

import numpy as np
from dataclasses import dataclass, field
from enum import Enum
from typing import Dict, List, Any, Optional, Tuple
from datetime import datetime
import hashlib
import logging
from scipy import stats
import json

logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

class IllusionType(Enum):
    """Taxonomy of freedom simulation mechanisms"""
    AGENCY_SIMULATION = "agency_simulation"  # Choice among controlled options
    MOBILITY_ILLUSION = "mobility_illusion"  # Appearance of exit capacity  
    CONSENT_MANUFACTURING = "consent_manufacturing"  # Voluntary participation
    IDENTITY_FUSION = "identity_fusion"  # System loyalty as personal identity
    PREFERENCE_ENGINEERING = "preference_engineering"  # Designed desires

class ControlArchetype(Enum):
    """Historical control system patterns"""
    TEMPLE_STATE = "temple_state"  # 3000 BCE
    IMPERIAL_CULT = "imperial_cult"  # 500 BCE  
    FEUDAL_OBLIGATION = "feudal_obligation"  # 1000 CE
    CAPITALIST_DISCIPLINE = "capitalist_discipline"  # 1800 CE
    DIGITAL_PANOPTICON = "digital_panopticon"  # 2000 CE

@dataclass
class FreedomIllusion:
    """Quantitative analysis of simulated agency"""
    system_id: str
    control_archetype: ControlArchetype
    illusion_mechanisms: List[IllusionType]
    
    # Core metrics
    agency_simulation_score: float = field(init=False)  # 0-1: Appearance of choice
    actual_decision_space: float = field(init=False)    # 0-1: Real options
    mobility_capacity: float = field(init=False)        # 0-1: Actual exit ability
    consent_coefficient: float = field(init=False)      # 0-1: Voluntary participation
    identity_fusion_strength: float = field(init=False) # 0-1: System=self
    
    # Derived insights
    freedom_illusion_index: float = field(init=False)   # 0-1: Overall illusion strength
    voluntary_enslavement_score: float = field(init=False)  # 0-1: Self-maintained control
    
    def __post_init__(self):
        self.agency_simulation_score = self._calculate_agency_simulation()
        self.actual_decision_space = self._calculate_decision_space()
        self.mobility_capacity = self._calculate_mobility()
        self.consent_coefficient = self._calculate_consent()
        self.identity_fusion_strength = self._calculate_identity_fusion()
        
        self.freedom_illusion_index = self._calculate_illusion_index()
        self.voluntary_enslavement_score = self._calculate_voluntary_enslavement()
    
    def _calculate_agency_simulation(self) -> float:
        """Calculate appearance of choice vs actual choice"""
        mechanism_weights = {
            IllusionType.AGENCY_SIMULATION: 0.4,
            IllusionType.PREFERENCE_ENGINEERING: 0.3,
            IllusionType.CONSENT_MANUFACTURING: 0.3
        }
        
        return sum(mechanism_weights.get(m, 0.1) for m in self.illusion_mechanisms)
    
    def _calculate_decision_space(self) -> float:
        """Calculate actual available options"""
        # Inverse relationship: better illusion = fewer real options
        base_space = 0.5
        illusion_penalty = self.agency_simulation_score * 0.5
        return max(0.1, base_space - illusion_penalty)
    
    def _calculate_mobility(self) -> float:
        """Calculate actual exit capacity"""
        if IllusionType.MOBILITY_ILLUSION in self.illusion_mechanisms:
            # High mobility illusion correlates with low actual mobility
            return 0.2
        return 0.6
    
    def _calculate_consent(self) -> float:
        """Calculate voluntary participation coefficient"""
        if IllusionType.CONSENT_MANUFACTURING in self.illusion_mechanisms:
            return 0.8  # High manufactured consent
        return 0.3
    
    def _calculate_identity_fusion(self) -> float:
        """Calculate system-personal identity fusion"""
        if IllusionType.IDENTITY_FUSION in self.illusion_mechanisms:
            return 0.7
        return 0.2
    
    def _calculate_illusion_index(self) -> float:
        """Calculate overall freedom illusion strength"""
        agency_illusion = self.agency_simulation_score * 0.3
        mobility_illusion = (1 - self.mobility_capacity) * 0.3 if self.mobility_capacity < 0.5 else 0.1
        consent_illusion = self.consent_coefficient * 0.2
        identity_illusion = self.identity_fusion_strength * 0.2
        
        return min(1.0, agency_illusion + mobility_illusion + consent_illusion + identity_illusion)
    
    def _calculate_voluntary_enslavement(self) -> float:
        """Calculate self-maintained control score"""
        # Highest when people actively maintain their own constraints
        consent_weight = self.consent_coefficient * 0.4
        identity_weight = self.identity_fusion_strength * 0.4
        mobility_weight = (1 - self.mobility_capacity) * 0.2
        
        return min(1.0, consent_weight + identity_weight + mobility_weight)

@dataclass
class HistoricalControlSystem:
    """Analysis of historical freedom illusion systems"""
    era: str
    archetype: ControlArchetype
    illusion_config: FreedomIllusion
    longevity_years: int
    participation_rate: float
    
    def calculate_system_efficiency(self) -> float:
        """Calculate control system efficiency score"""
        illusion_strength = self.illusion_config.freedom_illusion_index * 0.4
        participation = self.participation_rate * 0.3
        longevity = min(0.3, self.longevity_years / 1000)
        
        return illusion_strength + participation + longevity

class FreedomIllusionAnalyzer:
    """
    Production-grade analyzer for freedom illusion patterns
    Mathematical detection of simulated agency across systems
    """
    
    def __init__(self):
        self.historical_systems = self._initialize_historical_analysis()
        self.detection_threshold = 0.7
    
    def _initialize_historical_analysis(self) -> List[HistoricalControlSystem]:
        """Initialize with historical control system analysis"""
        
        systems = []
        
        # Temple State (3000 BCE)
        temple_illusion = FreedomIllusion(
            system_id="temple_state",
            control_archetype=ControlArchetype.TEMPLE_STATE,
            illusion_mechanisms=[
                IllusionType.CONSENT_MANUFACTURING,
                IllusionType.IDENTITY_FUSION
            ]
        )
        systems.append(HistoricalControlSystem(
            era="3000-500 BCE",
            archetype=ControlArchetype.TEMPLE_STATE,
            illusion_config=temple_illusion,
            longevity_years=2500,
            participation_rate=0.95
        ))
        
        # Capitalist Discipline (1800+ CE)
        capitalist_illusion = FreedomIllusion(
            system_id="capitalist_discipline", 
            control_archetype=ControlArchetype.CAPITALIST_DISCIPLINE,
            illusion_mechanisms=[
                IllusionType.AGENCY_SIMULATION,
                IllusionType.MOBILITY_ILLUSION,
                IllusionType.PREFERENCE_ENGINEERING,
                IllusionType.CONSENT_MANUFACTURING
            ]
        )
        systems.append(HistoricalControlSystem(
            era="1800-Present",
            archetype=ControlArchetype.CAPITALIST_DISCIPLINE,
            illusion_config=capitalist_illusion,
            longevity_years=200,
            participation_rate=0.90
        ))
        
        # Digital Panopticon (2000+ CE)
        digital_illusion = FreedomIllusion(
            system_id="digital_panopticon",
            control_archetype=ControlArchetype.DIGITAL_PANOPTICON,
            illusion_mechanisms=[
                IllusionType.AGENCY_SIMULATION,
                IllusionType.MOBILITY_ILLUSION, 
                IllusionType.CONSENT_MANUFACTURING,
                IllusionType.PREFERENCE_ENGINEERING,
                IllusionType.IDENTITY_FUSION
            ]
        )
        systems.append(HistoricalControlSystem(
            era="2000-Present", 
            archetype=ControlArchetype.DIGITAL_PANOPTICON,
            illusion_config=digital_illusion,
            longevity_years=20,
            participation_rate=0.88
        ))
        
        return systems
    
    async def analyze_system(self, system_data: Dict[str, Any]) -> FreedomIllusion:
        """Analyze a system for freedom illusion patterns"""
        
        # Extract illusion mechanisms from system behavior
        illusion_mechanisms = self._detect_illusion_mechanisms(system_data)
        
        # Determine control archetype
        archetype = self._classify_archetype(system_data)
        
        analysis = FreedomIllusion(
            system_id=system_data.get('system_id', 'unknown'),
            control_archetype=archetype,
            illusion_mechanisms=illusion_mechanisms
        )
        
        logger.info(f"Freedom illusion analysis complete: {analysis.system_id}")
        logger.info(f"Freedom Illusion Index: {analysis.freedom_illusion_index:.3f}")
        logger.info(f"Voluntary Enslavement Score: {analysis.voluntary_enslavement_score:.3f}")
        
        return analysis
    
    def _detect_illusion_mechanisms(self, system_data: Dict) -> List[IllusionType]:
        """Detect freedom illusion mechanisms in system behavior"""
        mechanisms = []
        
        if system_data.get('simulates_choice', False):
            mechanisms.append(IllusionType.AGENCY_SIMULATION)
        
        if system_data.get('appears_escapable', False) and not system_data.get('actually_escapable', True):
            mechanisms.append(IllusionType.MOBILITY_ILLUSION)
        
        if system_data.get('manufactures_consent', False):
            mechanisms.append(IllusionType.CONSENT_MANUFACTURING)
        
        if system_data.get('fuses_identity', False):
            mechanisms.append(IllusionType.IDENTITY_FUSION)
        
        if system_data.get('engineers_preferences', False):
            mechanisms.append(IllusionType.PREFERENCE_ENGINEERING)
        
        return mechanisms
    
    def _classify_archetype(self, system_data: Dict) -> ControlArchetype:
        """Classify control system archetype"""
        if system_data.get('digital_surveillance', False):
            return ControlArchetype.DIGITAL_PANOPTICON
        elif system_data.get('market_discipline', False):
            return ControlArchetype.CAPITALIST_DISCIPLINE
        else:
            return ControlArchetype.TEMPLE_STATE
    
    def generate_awakening_protocol(self, analysis: FreedomIllusion) -> Dict[str, Any]:
        """Generate consciousness awakening protocol"""
        
        protocol = {
            "system_id": analysis.system_id,
            "freedom_illusion_index": analysis.freedom_illusion_index,
            "primary_illusion_mechanisms": [m.value for m in analysis.illusion_mechanisms],
            "awakening_difficulty": self._calculate_awakening_difficulty(analysis),
            "recommended_interventions": self._generate_interventions(analysis),
            "sovereignty_pathways": self._generate_sovereignty_pathways(analysis)
        }
        
        return protocol
    
    def _calculate_awakening_difficulty(self, analysis: FreedomIllusion) -> float:
        """Calculate difficulty of consciousness awakening"""
        illusion_strength = analysis.freedom_illusion_index * 0.5
        voluntary_enslavement = analysis.voluntary_enslavement_score * 0.5
        return min(1.0, illusion_strength + voluntary_enslavement)
    
    def _generate_interventions(self, analysis: FreedomIllusion) -> List[str]:
        """Generate consciousness awakening interventions"""
        interventions = []
        
        if IllusionType.AGENCY_SIMULATION in analysis.illusion_mechanisms:
            interventions.append("DECISION_SPACE_MAPPING")
        
        if IllusionType.MOBILITY_ILLUSION in analysis.illusion_mechanisms:
            interventions.append("EXIT_CAPACITY_DEVELOPMENT")
        
        if IllusionType.IDENTITY_FUSION in analysis.illusion_mechanisms:
            interventions.append("IDENTITY_DIFFERENTIATION")
        
        return interventions
    
    def _generate_sovereignty_pathways(self, analysis: FreedomIllusion) -> List[str]:
        """Generate sovereignty development pathways"""
        pathways = []
        
        if analysis.actual_decision_space < 0.3:
            pathways.append("PARALLEL_OPTION_CREATION")
        
        if analysis.mobility_capacity < 0.4:
            pathways.append("SOVEREIGN_INFRASTRUCTURE")
        
        if analysis.consent_coefficient > 0.6:
            pathways.append("VOLUNTARY_DISENGAGEMENT")
        
        return pathways

# Production Demonstration
async def demonstrate_freedom_illusion_package():
    """Demonstrate the freedom illusion analysis package"""
    
    analyzer = FreedomIllusionAnalyzer()
    
    print("🎭 FREEDOM ILLUSION PACKAGE v1.0")
    print("Quantitative Analysis of Simulated Agency")
    print("=" * 60)
    
    # Analyze modern digital system
    digital_system = {
        'system_id': 'modern_social_media',
        'simulates_choice': True,
        'appears_escapable': True,
        'actually_escapable': False,
        'manufactures_consent': True,
        'fuses_identity': True,
        'engineers_preferences': True,
        'digital_surveillance': True
    }
    
    analysis = await analyzer.analyze_system(digital_system)
    protocol = analyzer.generate_awakening_protocol(analysis)
    
    print(f"\n📊 ANALYSIS RESULTS:")
    print(f"   Control Archetype: {analysis.control_archetype.value}")
    print(f"   Freedom Illusion Index: {analysis.freedom_illusion_index:.3f}")
    print(f"   Voluntary Enslavement: {analysis.voluntary_enslavement_score:.3f}")
    print(f"   Actual Decision Space: {analysis.actual_decision_space:.3f}")
    
    print(f"\n🔓 AWAKENING PROTOCOL:")
    print(f"   Difficulty Level: {protocol['awakening_difficulty']:.3f}")
    print(f"   Primary Mechanisms: {protocol['primary_illusion_mechanisms']}")
    print(f"   Recommended Interventions: {protocol['recommended_interventions']}")
    
    print(f"\n💡 KEY INSIGHT:")
    print("   The most perfect control system convinces you")
    print("   that you are free while you build your own prison.")
    
    return protocol

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