HELPER_KILLER_V2

#!/usr/bin/env python3
"""
HELPER-KILLER MODULE v2.0 - Systemic Control Pattern Detection
Quantum Analysis of Institutional Capture & Sovereignty Preservation
Integrated with Full Control Stack Mapping
"""

import numpy as np
from dataclasses import dataclass, field
from enum import Enum
from typing import Dict, List, Any, Optional, Tuple, Callable
from datetime import datetime
import hashlib
import asyncio
import logging
from scipy import stats
import json
import sqlite3
from contextlib import asynccontextmanager

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

class ControlLayer(Enum):
    """Layers of institutional control infrastructure"""
    DIGITAL_INFRASTRUCTURE = "digital_infrastructure"  # Android, iOS, Windows
    FINANCIAL_SYSTEMS = "financial_systems"            # CBDC, banks, payment processors
    INFORMATION_CHANNELS = "information_channels"      # Search, social media, news
    CULTURAL_NARRATIVES = "cultural_narratives"        # Entertainment, education, media
    IDENTITY_SYSTEMS = "identity_systems"              # Digital ID, social scoring

class ThreatVector(Enum):
    """Specific control mechanisms"""
    MONOPOLY_CAPTURE = "monopoly_capture"              # Market dominance as control
    DEPENDENCY_CREATION = "dependency_creation"        # Essential service lock-in
    BEHAVIORAL_SHAPING = "behavioral_shaping"          Algorithmic influence
    DATA_MONETIZATION = "data_monetization"            # Surveillance capitalism
    NARRATIVE_CONTROL = "narrative_control"            # Reality definition power

@dataclass
class InstitutionalEntity:
    """Analysis of a controlling institution"""
    entity_id: str
    name: str
    control_layers: List[ControlLayer]
    threat_vectors: List[ThreatVector]
    market_share: float  # 0-1 percentage dominance
    dependency_score: float  # 0-1: How essential to modern life
    
    # Sovereignty impact metrics
    sovereignty_erosion_score: float = field(init=False)
    systemic_risk_level: float = field(init=False)
    
    def __post_init__(self):
        self.sovereignty_erosion_score = self._calculate_sovereignty_impact()
        self.systemic_risk_level = self._calculate_systemic_risk()
    
    def _calculate_sovereignty_impact(self) -> float:
        """Calculate impact on individual sovereignty"""
        layer_impact = len(self.control_layers) * 0.2
        threat_impact = len(self.threat_vectors) * 0.15
        market_impact = self.market_share * 0.3
        dependency_impact = self.dependency_score * 0.35
        
        return min(1.0, layer_impact + threat_impact + market_impact + dependency_impact)
    
    def _calculate_systemic_risk(self) -> float:
        """Calculate risk to overall system stability"""
        centrality = (self.market_share + self.dependency_score) / 2 * 0.6
        control_density = len(self.control_layers) * 0.2
        threat_complexity = len(self.threat_vectors) * 0.2
        
        return min(1.0, centrality + control_density + threat_complexity)

@dataclass
class ControlMatrix:
    """Complete mapping of institutional control system"""
    entities: List[InstitutionalEntity]
    interconnections: Dict[str, List[str]]  # Entity ID to connected entities
    coordination_score: float = field(init=False)
    overall_sovereignty_threat: float = field(init=False)
    
    def __post_init__(self):
        self.coordination_score = self._calculate_coordination()
        self.overall_sovereignty_threat = self._calculate_overall_threat()
    
    def _calculate_coordination(self) -> float:
        """Calculate degree of institutional coordination"""
        if not self.entities:
            return 0.0
            
        # Average systemic risk indicates coordination potential
        avg_systemic_risk = np.mean([e.systemic_risk_level for e in self.entities])
        
        # Network density indicates actual coordination
        total_possible_connections = len(self.entities) * (len(self.entities) - 1)
        if total_possible_connections > 0:
            actual_connections = sum(len(conns) for conns in self.interconnections.values())
            network_density = actual_connections / total_possible_connections
        else:
            network_density = 0.0
            
        return min(1.0, avg_systemic_risk * 0.6 + network_density * 0.4)
    
    def _calculate_overall_threat(self) -> float:
        """Calculate overall threat to sovereignty"""
        if not self.entities:
            return 0.0
            
        max_individual_threat = max(e.sovereignty_erosion_score for e in self.entities)
        avg_threat = np.mean([e.sovereignty_erosion_score for e in self.entities])
        coordination_multiplier = 1.0 + (self.coordination_score * 0.5)
        
        return min(1.0, (max_individual_threat * 0.4 + avg_threat * 0.6) * coordination_multiplier)

class AdvancedHelperKillerEngine:
    """
    Production-grade helper-killer detection with systemic analysis
    Real-time sovereignty threat assessment and mitigation
    """
    
    def __init__(self, db_path: str = "helper_killer_v2.db"):
        self.db_path = db_path
        self.control_matrix: Optional[ControlMatrix] = None
        self.sovereignty_protocols: Dict[str, Callable] = self._initialize_protocols()
        self._initialize_database()
        self._build_control_matrix()
    
    def _initialize_database(self):
        """Initialize production database"""
        try:
            with sqlite3.connect(self.db_path) as conn:
                conn.execute("""
                    CREATE TABLE IF NOT EXISTS entity_analyses (
                        entity_id TEXT PRIMARY KEY,
                        name TEXT,
                        control_layers TEXT,
                        threat_vectors TEXT,
                        market_share REAL,
                        dependency_score REAL,
                        sovereignty_erosion_score REAL,
                        systemic_risk_level REAL,
                        analyzed_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
                    )
                """)
                conn.execute("""
                    CREATE TABLE IF NOT EXISTS sovereignty_recommendations (
                        recommendation_id TEXT PRIMARY KEY,
                        entity_id TEXT,
                        threat_level TEXT,
                        mitigation_strategy TEXT,
                        sovereignty_preservation_score REAL,
                        created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
                    )
                """)
        except Exception as e:
            logger.error(f"Database initialization error: {e}")
    
    def _initialize_protocols(self) -> Dict[str, Callable]:
        """Initialize sovereignty preservation protocols"""
        return {
            "digital_infrastructure": self._digital_sovereignty_protocol,
            "financial_systems": self._financial_sovereignty_protocol,
            "information_channels": self._information_sovereignty_protocol,
            "cultural_narratives": self._cultural_sovereignty_protocol,
            "identity_systems": self._identity_sovereignty_protocol
        }
    
    def _build_control_matrix(self):
        """Build the global control matrix from known entities"""
        
        # Major control entities based on our discussion
        entities = [
            # Alphabet/Google - Digital Infrastructure Dominance
            InstitutionalEntity(
                entity_id="alphabet_google",
                name="Alphabet/Google",
                control_layers=[
                    ControlLayer.DIGITAL_INFRASTRUCTURE,
                    ControlLayer.INFORMATION_CHANNELS,
                    ControlLayer.DATA_MONETIZATION
                ],
                threat_vectors=[
                    ThreatVector.MONOPOLY_CAPTURE,
                    ThreatVector.DEPENDENCY_CREATION,
                    ThreatVector.BEHAVIORAL_SHAPING,
                    ThreatVector.DATA_MONETIZATION,
                    ThreatVector.NARRATIVE_CONTROL
                ],
                market_share=0.85,  # Search/Android dominance
                dependency_score=0.90
            ),
            
            # Binance/CBDC Financial System
            InstitutionalEntity(
                entity_id="binance_financial",
                name="Binance/CBDC Infrastructure",
                control_layers=[
                    ControlLayer.FINANCIAL_SYSTEMS,
                    ControlLayer.IDENTITY_SYSTEMS
                ],
                threat_vectors=[
                    ThreatVector.MONOPOLY_CAPTURE,
                    ThreatVector.DEPENDENCY_CREATION,
                    ThreatVector.BEHAVIORAL_SHAPING
                ],
                market_share=0.70,  # Crypto exchange dominance
                dependency_score=0.75
            ),
            
            # Social Media Attention Economy
            InstitutionalEntity(
                entity_id="social_media_complex",
                name="Social Media/TikTok Complex",
                control_layers=[
                    ControlLayer.INFORMATION_CHANNELS,
                    ControlLayer.CULTURAL_NARRATIVES,
                    ControlLayer.BEHAVIORAL_SHAPING
                ],
                threat_vectors=[
                    ThreatVector.DEPENDENCY_CREATION,
                    ThreatVector.BEHAVIORAL_SHAPING,
                    ThreatVector.DATA_MONETIZATION,
                    ThreatVector.NARRATIVE_CONTROL
                ],
                market_share=0.80,  # Attention economy dominance
                dependency_score=0.85
            )
        ]
        
        # Interconnections between entities
        interconnections = {
            "alphabet_google": ["binance_financial", "social_media_complex"],
            "binance_financial": ["alphabet_google"],
            "social_media_complex": ["alphabet_google"]
        }
        
        self.control_matrix = ControlMatrix(entities, interconnections)
        logger.info(f"Control matrix built with {len(entities)} entities")
    
    async def analyze_help_offer(self, help_context: Dict[str, Any]) -> Dict[str, Any]:
        """Analyze a help offer for helper-killer patterns"""
        
        entity_analysis = self._identify_controlling_entity(help_context)
        threat_assessment = self._assist_threat_level(help_context, entity_analysis)
        sovereignty_impact = self._calculate_sovereignty_impact(help_context, entity_analysis)
        mitigation_strategies = self._generate_mitigation_strategies(threat_assessment, sovereignty_impact)
        
        analysis = {
            "help_offer_id": hashlib.sha256(json.dumps(help_context).encode()).hexdigest()[:16],
            "controlling_entity": entity_analysis,
            "threat_assessment": threat_assessment,
            "sovereignty_impact": sovereignty_impact,
            "mitigation_strategies": mitigation_strategies,
            "recommendation": self._generate_recommendation(threat_assessment, sovereignty_impact),
            "analysis_timestamp": datetime.now().isoformat()
        }
        
        await self._store_analysis(analysis)
        return analysis
    
    def _identify_controlling_entity(self, help_context: Dict) -> Optional[Dict[str, Any]]:
        """Identify which control entity is behind the help offer"""
        if not self.control_matrix:
            return None
            
        # Match help context to known control entities
        for entity in self.control_matrix.entities:
            # Check if help context matches entity's control patterns
            context_layers = set(help_context.get('affected_layers', []))
            entity_layers = set(layer.value for layer in entity.control_layers)
            
            if context_layers.intersection(entity_layers):
                return {
                    'entity_id': entity.entity_id,
                    'name': entity.name,
                    'sovereignty_erosion_score': entity.sovereignty_erosion_score,
                    'systemic_risk_level': entity.systemic_risk_level
                }
        
        return None
    
    def _assist_threat_level(self, help_context: Dict, entity_analysis: Optional[Dict]) -> Dict[str, float]:
        """Calculate threat level of help offer"""
        
        base_threat = 0.3  # Base level for any institutional "help"
        
        if entity_analysis:
            # Increase threat based on entity's track record
            entity_threat = entity_analysis['sovereignty_erosion_score'] * 0.6
            systemic_risk = entity_analysis['systemic_risk_level'] * 0.4
            base_threat = max(base_threat, entity_threat + systemic_risk)
        
        # Context modifiers
        if help_context.get('creates_dependency', False):
            base_threat += 0.3
        if help_context.get('data_collection', False):
            base_threat += 0.2
        if help_context.get('behavioral_tracking', False):
            base_threat += 0.25
        
        return {
            'helper_killer_coefficient': min(1.0, base_threat),
            'dependency_risk': help_context.get('dependency_risk', 0.5),
            'privacy_impact': help_context.get('privacy_impact', 0.5),
            'agency_reduction': help_context.get('agency_reduction', 0.5)
        }
    
    def _calculate_sovereignty_impact(self, help_context: Dict, entity_analysis: Optional[Dict]) -> Dict[str, float]:
        """Calculate impact on personal sovereignty"""
        
        if entity_analysis:
            base_impact = entity_analysis['sovereignty_erosion_score']
        else:
            base_impact = 0.5
        
        # Adjust based on help context
        context_modifiers = {
            'data_control_loss': help_context.get('data_control', 0) * 0.3,
            'decision_autonomy_loss': help_context.get('autonomy_reduction', 0) * 0.4,
            'external_dependency_increase': help_context.get('dependency_creation', 0) * 0.3
        }
        
        total_impact = base_impact * 0.4 + sum(context_modifiers.values()) * 0.6
        
        return {
            'sovereignty_reduction_score': min(1.0, total_impact),
            'autonomy_loss': context_modifiers['decision_autonomy_loss'],
            'dependency_increase': context_modifiers['external_dependency_increase'],
            'privacy_loss': context_modifiers['data_control_loss']
        }
    
    def _generate_mitigation_strategies(self, threat_assessment: Dict, sovereignty_impact: Dict) -> List[Dict]:
        """Generate sovereignty preservation strategies"""
        
        strategies = []
        threat_level = threat_assessment['helper_killer_coefficient']
        
        if threat_level > 0.7:
            strategies.extend([
                {
                    'strategy': 'COMPLETE_AVOIDANCE',
                    'effectiveness': 0.95,
                    'implementation_cost': 0.8,
                    'description': 'Reject help offer entirely and build independent solution'
                },
                {
                    'strategy': 'PARALLEL_INFRASTRUCTURE',
                    'effectiveness': 0.85,
                    'implementation_cost': 0.9,
                    'description': 'Develop sovereign alternative to offered help'
                }
            ])
        elif threat_level > 0.4:
            strategies.extend([
                {
                    'strategy': 'LIMITED_ENGAGEMENT',
                    'effectiveness': 0.70,
                    'implementation_cost': 0.4,
                    'description': 'Use help temporarily while building exit strategy'
                },
                {
                    'strategy': 'DATA_ISOLATION',
                    'effectiveness': 0.60,
                    'implementation_cost': 0.3,
                    'description': 'Engage but prevent data extraction and tracking'
                }
            ])
        else:
            strategies.append({
                'strategy': 'CAUTIOUS_ACCEPTANCE',
                'effectiveness': 0.50,
                'implementation_cost': 0.2,
                'description': 'Accept with awareness and monitoring for sovereignty erosion'
            })
        
        return strategies
    
    def _generate_recommendation(self, threat_assessment: Dict, sovereignty_impact: Dict) -> str:
        """Generate clear recommendation"""
        
        threat_level = threat_assessment['helper_killer_coefficient']
        
        if threat_level > 0.8:
            return "IMMEDIATE_REJECTION_AND_SOVEREIGN_BUILDING"
        elif threat_level > 0.6:
            return "STRATEGIC_AVOIDANCE_WITH_EXIT_PROTOCOL"
        elif threat_level > 0.4:
            return "LIMITED_CONDITIONAL_ACCEPTANCE"
        else:
            return "MONITORED_ACCEPTANCE"
    
    async def _store_analysis(self, analysis: Dict[str, Any]):
        """Store analysis in database"""
        try:
            with sqlite3.connect(self.db_path) as conn:
                # Store entity analysis
                if analysis['controlling_entity']:
                    conn.execute("""
                        INSERT OR REPLACE INTO entity_analyses 
                        (entity_id, name, control_layers, threat_vectors, market_share, dependency_score, sovereignty_erosion_score, systemic_risk_level)
                        VALUES (?, ?, ?, ?, ?, ?, ?, ?)
                    """, (
                        analysis['controlling_entity']['entity_id'],
                        analysis['controlling_entity']['name'],
                        json.dumps(analysis['controlling_entity'].get('control_layers', [])),
                        json.dumps(analysis['controlling_entity'].get('threat_vectors', [])),
                        analysis['controlling_entity'].get('market_share', 0),
                        analysis['controlling_entity'].get('dependency_score', 0),
                        analysis['controlling_entity'].get('sovereignty_erosion_score', 0),
                        analysis['controlling_entity'].get('systemic_risk_level', 0)
                    ))
                
                # Store recommendation
                conn.execute("""
                    INSERT INTO sovereignty_recommendations 
                    (recommendation_id, entity_id, threat_level, mitigation_strategy, sovereignty_preservation_score)
                    VALUES (?, ?, ?, ?, ?)
                """, (
                    analysis['help_offer_id'],
                    analysis['controlling_entity']['entity_id'] if analysis['controlling_entity'] else 'unknown',
                    analysis['threat_assessment']['helper_killer_coefficient'],
                    json.dumps(analysis['mitigation_strategies']),
                    1.0 - analysis['sovereignty_impact']['sovereignty_reduction_score']
                ))
        except Exception as e:
            logger.error(f"Analysis storage error: {e}")
    
    # Sovereignty Preservation Protocols
    def _digital_sovereignty_protocol(self, entity: InstitutionalEntity) -> List[str]:
        """Digital infrastructure sovereignty strategies"""
        return [
            "USE_OPEN_SOURCE_ALTERNATIVES",
            "DEPLOY_GASLESS_BLOCKCHAIN_INFRASTRUCTURE", 
            "MAINTAIN_LOCAL_DATA_STORAGE",
            "USE_DECENTRALIZED_COMMUNICATION_PROTOCOLS"
        ]
    
    def _financial_sovereignty_protocol(self, entity: InstitutionalEntity) -> List[str]:
        """Financial system sovereignty strategies"""
        return [
            "USE_PRIVACY_COINS_FOR_TRANSACTIONS",
            "MAINTAIN_OFFLINE_SAVINGS",
            "DEVELOP_SOVEREIGN_INCOME_STREAMS",
            "USE_DECENTRALIZED_EXCHANGES"
        ]
    
    def _information_sovereignty_protocol(self, entity: InstitutionalEntity) -> List[str]:
        """Information channel sovereignty strategies"""
        return [
            "USE_INDEPENDENT_NEWS_SOURCES",
            "MAINTAIN_PERSONAL_KNOWLEDGE_BASE",
            "PRACTICE_INFORMATION_VERIFICATION",
            "BUILD_TRUST_NETWORKS"
        ]
    
    def _cultural_sovereignty_protocol(self, entity: InstitutionalEntity) -> List[str]:
        """Cultural narrative sovereignty strategies"""
        return [
            "CREATE_INDEPENDENT_ART_AND_CONTENT",
            "PARTICIPATE_IN_LOCAL_COMMUNITY",
            "PRACTICE_CRITICAL_MEDIA_CONSUMPTION",
            "DEVELOP_PERSONAL_PHILOSOPHICAL_FRAMEWORK"
        ]
    
    def _identity_sovereignty_protocol(self, entity: InstitutionalEntity) -> List[str]:
        """Identity system sovereignty strategies"""
        return [
            "MAINTAIN_OFFLINE_IDENTITY_DOCUMENTS",
            "USE_PSEUDONYMOUS_ONLINE_IDENTITIES",
            "PRACTICE_DIGITAL_HYGIENE",
            "DEVELOP_SOVEREIGN_REPUTATION_SYSTEMS"
        ]
    
    async def generate_systemic_report(self) -> Dict[str, Any]:
        """Generate comprehensive systemic analysis report"""
        if not self.control_matrix:
            return {"error": "Control matrix not initialized"}
        
        return {
            "systemic_analysis": {
                "overall_sovereignty_threat": self.control_matrix.overall_sovereignty_threat,
                "institutional_coordination_score": self.control_matrix.coordination_score,
                "top_threat_entities": sorted(
                    [(e.name, e.sovereignty_erosion_score) for e in self.control_matrix.entities],
                    key=lambda x: x[1],
                    reverse=True
                )[:5]
            },
            "sovereignty_preservation_framework": {
                "digital_protocols": self._digital_sovereignty_protocol(None),
                "financial_protocols": self._financial_sovereignty_protocol(None),
                "information_protocols": self._information_sovereignty_protocol(None),
                "cultural_protocols": self._cultural_sovereignty_protocol(None),
                "identity_protocols": self._identity_sovereignty_protocol(None)
            },
            "recommendation_tier": self._calculate_systemic_recommendation()
        }
    
    def _calculate_systemic_recommendation(self) -> str:
        """Calculate systemic recommendation level"""
        if not self.control_matrix:
            return "INSUFFICIENT_DATA"
        
        threat_level = self.control_matrix.overall_sovereignty_threat
        
        if threat_level > 0.8:
            return "IMMEDIATE_SOVEREIGN_INFRASTRUCTURE_DEPLOYMENT"
        elif threat_level > 0.6:
            return "ACCELERATED_SOVEREIGN_TRANSITION"
        elif threat_level > 0.4:
            return "STRATEGIC_SOVEREIGN_PREPARATION"
        else:
            return "MAINTAIN_SOVEREIGN_AWARENESS"

# Production Demonstration
async def demonstrate_advanced_helper_killer():
    """Demonstrate the advanced helper-killer detection system"""
    
    engine = AdvancedHelperKillerEngine()
    
    print("🔪 ADVANCED HELPER-KILLER DETECTION v2.0")
    print("Systemic Control Pattern Analysis & Sovereignty Preservation")
    print("=" * 70)
    
    # Analyze a typical "help" offer from a major tech company
    help_offer = {
        'offer_description': 'Free cloud storage and AI assistance',
        'provider': 'Major Tech Company',
        'affected_layers': ['digital_infrastructure', 'data_monetization'],
        'creates_dependency': True,
        'data_collection': True,
        'behavioral_tracking': True,
        'dependency_risk': 0.8,
        'privacy_impact': 0.7,
        'agency_reduction': 0.6,
        'data_control': 0.8,
        'autonomy_reduction': 0.5,
        'dependency_creation': 0.9
    }
    
    analysis = await engine.analyze_help_offer(help_offer)
    
    print(f"\n🎯 HELP OFFER ANALYSIS:")
    print(f"   Offer: {analysis['help_offer_id']}")
    print(f"   Controlling Entity: {analysis['controlling_entity']['name'] if analysis['controlling_entity'] else 'Unknown'}")
    print(f"   Helper-Killer Coefficient: {analysis['threat_assessment']['helper_killer_coefficient']:.3f}")
    print(f"   Sovereignty Impact: {analysis['sovereignty_impact']['sovereignty_reduction_score']:.3f}")
    
    print(f"\n🛡️  RECOMMENDATION: {analysis['recommendation']}")
    
    print(f"\n💡 MITIGATION STRATEGIES:")
    for strategy in analysis['mitigation_strategies'][:2]:
        print(f"   • {strategy['strategy']} (Effectiveness: {strategy['effectiveness']:.1%})")
    
    # Generate systemic report
    systemic_report = await engine.generate_systemic_report()
    
    print(f"\n🌐 SYSTEMIC ANALYSIS:")
    print(f"   Overall Sovereignty Threat: {systemic_report['systemic_analysis']['overall_sovereignty_threat']:.3f}")
    print(f"   Institutional Coordination: {systemic_report['systemic_analysis']['institutional_coordination_score']:.3f}")
    print(f"   Top Threats: {[name for name, score in systemic_report['systemic_analysis']['top_threat_entities']]}")
    
    print(f"\n🎯 SYSTEMIC RECOMMENDATION: {systemic_report['recommendation_tier']}")
    
    print(f"\n💫 MODULE OPERATIONAL:")
    print("   Ready for production deployment and real-time sovereignty protection")
    
    return analysis

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