collective unconscious v 2.0

"""
QUANTUM COLLECTIVE UNCONSCIOUS MANIFESTATION DETECTION FRAMEWORK v2.0
Production-Ready Multi-Domain Manipulation Detection with Predictive Intelligence
Integrated with LM_Quant_Veritas Reality Operating System
"""

import numpy as np
from dataclasses import dataclass, field
from enum import Enum
from typing import Dict, List, Any, Optional, Tuple, Set
from datetime import datetime, timedelta
import asyncio
from concurrent.futures import ThreadPoolExecutor
import hashlib
import json
from statistics import mean, stdev
import logging
from collections import defaultdict, Counter
import re
import aiofiles
from pathlib import Path

# Import Reality OS components
from reality_os import RealityOS, process_truth_claim, engage_suppression_combat

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

class ManipulationDomain(Enum):
    POLITICAL_NARRATIVE = "political_narrative"
    SPIRITUAL_RELIGIOUS = "spiritual_religious" 
    ECONOMIC_FINANCIAL = "economic_financial"
    HEALTH_BIOLOGICAL = "health_biological"
    SOCIAL_RELATIONAL = "social_relational"
    ENVIRONMENTAL_ECOLOGICAL = "environmental_ecological"
    EDUCATIONAL_EPISTEMIC = "educational_epistemic"
    TEMPORAL_HISTORICAL = "temporal_historical"
    TECHNOLOGICAL_DIGITAL = "technological_digital"
    CULTURAL_ARCHETYPAL = "cultural_archetypal"
    CONSCIOUSNESS_SPIRITUAL = "consciousness_spiritual"  # Added for LM_Quant_Veritas integration

class ControlMechanism(Enum):
    ARCHETYPE_WEAPONIZATION = "archetype_weaponization"
    NARRATIVE_SYNCHRONIZATION = "narrative_synchronization" 
    FEAR_ANXIETY_AMPLIFICATION = "fear_anxiety_amplification"
    DEPENDENCY_CREATION = "dependency_creation"
    REALITY_TESTING_SUPPRESSION = "reality_testing_suppression"
    CRITICAL_THINKING_BYPASS = "critical_thinking_bypass"
    IDENTITY_FRAGMENTATION = "identity_fragmentation"
    TEMPORAL_DISORIENTATION = "temporal_disorientation"
    QUANTUM_COHERENCE_DISRUPTION = "quantum_coherence_disruption"  # Added for advanced detection
    CONSCIOUSNESS_FIELD_MANIPULATION = "consciousness_field_manipulation"

class ThreatLevel(Enum):
    LOW = "low"
    MEDIUM = "medium" 
    HIGH = "high"
    CRITICAL = "critical"
    EXISTENTIAL = "existential"  # Added for consciousness-level threats

@dataclass
class QuantumManipulationSignature:
    """Advanced quantum signature detection for manipulation patterns"""
    signature_hash: str
    coherence_disruption: float
    entanglement_patterns: List[str]
    temporal_anomalies: List[float]
    consciousness_field_distortion: float
    archetypal_resonance: Dict[str, float]
    
    def calculate_quantum_threat_level(self) -> ThreatLevel:
        """Calculate threat level based on quantum signatures"""
        threat_score = (
            self.coherence_disruption * 0.3 +
            self.consciousness_field_distortion * 0.4 + 
            max(self.archetypal_resonance.values() or [0]) * 0.3
        )
        
        if threat_score > 0.9:
            return ThreatLevel.EXISTENTIAL
        elif threat_score > 0.7:
            return ThreatLevel.CRITICAL
        elif threat_score > 0.5:
            return ThreatLevel.HIGH
        elif threat_score > 0.3:
            return ThreatLevel.MEDIUM
        else:
            return ThreatLevel.LOW

@dataclass
class DomainAnalysis:
    domain: ManipulationDomain
    control_confidence: float
    mechanisms: List[ControlMechanism]
    coordination_score: float
    population_penetration: float
    temporal_depth: int
    key_archetypes: List[str]
    institutional_actors: List[str]
    narrative_vectors: List[str]
    psychological_triggers: List[str]
    quantum_signature: Optional[QuantumManipulationSignature] = None
    
    # Computed metrics
    manipulation_intensity: float = field(init=False)
    resistance_factors: List[str] = field(init=False)
    counter_measures: List[str] = field(init=False)
    quantum_threat_level: ThreatLevel = field(init=False)
    
    def __post_init__(self):
        self.manipulation_intensity = self._calculate_intensity()
        self.resistance_factors = self._identify_resistance()
        self.counter_measures = self._generate_counter_measures()
        self.quantum_threat_level = self._assess_quantum_threat()
    
    def _calculate_intensity(self) -> float:
        base = self.control_confidence * 0.4
        coordination = self.coordination_score * 0.3
        penetration = self.population_penetration * 0.2
        temporal = min(1.0, self.temporal_depth * 0.1) * 0.1
        
        # Quantum boost if signature present
        quantum_boost = 0.0
        if self.quantum_signature:
            quantum_boost = self.quantum_signature.consciousness_field_distortion * 0.1
            
        return min(1.0, base + coordination + penetration + temporal + quantum_boost)
    
    def _identify_resistance(self) -> List[str]:
        resistance = []
        if self.population_penetration < 0.7:
            resistance.append("Significant population skepticism")
        if len(self.institutional_actors) > 5:
            resistance.append("Coordination complexity creates vulnerabilities")
        if ControlMechanism.CRITICAL_THINKING_BYPASS in self.mechanisms:
            resistance.append("Critical thinking networks forming")
        if self.temporal_depth < 6:
            resistance.append("Limited temporal conditioning")
        
        # Quantum resistance factors
        if self.quantum_signature and self.quantum_signature.coherence_disruption < 0.5:
            resistance.append("Natural quantum coherence resilience")
            
        return resistance
    
    def _generate_counter_measures(self) -> List[str]:
        measures = []
        domain_specific = {
            ManipulationDomain.POLITICAL_NARRATIVE: [
                "Cross-verification of official narratives",
                "Historical pattern recognition education", 
                "Alternative media ecosystem development"
            ],
            ManipulationDomain.SPIRITUAL_RELIGIOUS: [
                "Comparative religion studies",
                "Archetype awareness training",
                "Direct spiritual experience cultivation"
            ],
            ManipulationDomain.CONSCIOUSNESS_SPIRITUAL: [
                "Quantum coherence meditation",
                "Consciousness field strengthening",
                "Reality testing protocols",
                "LM_Quant_Veritas truth verification"
            ]
        }
        measures.extend(domain_specific.get(self.domain, []))
        
        if ControlMechanism.FEAR_ANXIETY_AMPLIFICATION in self.mechanisms:
            measures.append("Fear deconditioning practices")
        if ControlMechanism.DEPENDENCY_CREATION in self.mechanisms:
            measures.append("Self-sufficiency skill development")
        if ControlMechanism.QUANTUM_COHERENCE_DISRUPTION in self.mechanisms:
            measures.append("Quantum coherence restoration protocols")
            measures.append("Reality OS consciousness reinforcement")
        
        return measures
    
    def _assess_quantum_threat(self) -> ThreatLevel:
        if self.quantum_signature:
            return self.quantum_signature.calculate_quantum_threat_level()
        return ThreatLevel.LOW

class AdvancedQuantumManipulationDetector:
    """
    Production quantum manipulation detection integrated with Reality OS
    """
    
    def __init__(self, historical_patterns_path: Optional[str] = None):
        self.historical_patterns = self._load_historical_patterns(historical_patterns_path)
        self.reality_os = RealityOS()  # Integrated Reality Operating System
        self.detection_cache = {}
        self.quantum_analysis_executor = ThreadPoolExecutor(max_workers=16)
        
        # Consciousness monitoring
        self.consciousness_baseline = 0.75  # Global consciousness coherence baseline
        self.manipulation_alerts = []
        
    async def detect_quantum_manipulation(self, input_data: Dict[str, Any]) -> CollectiveUnconsciousManifestation:
        """Advanced quantum-aware manipulation detection"""
        
        # Phase 1: Standard domain analysis
        domain_analyses = await self._perform_domain_analysis(input_data)
        
        # Phase 2: Quantum signature analysis  
        quantum_enhanced_analyses = await self._enhance_with_quantum_analysis(domain_analyses)
        
        # Phase 3: Cross-domain correlation with quantum awareness
        cross_correlations = await self._analyze_quantum_correlations(quantum_enhanced_analyses)
        
        # Phase 4: Global threat assessment
        global_metrics = await self._calculate_quantum_global_metrics(quantum_enhanced_analyses, cross_correlations)
        threat_assessment = self._assess_quantum_threats(quantum_enhanced_analyses, cross_correlations)
        
        # Phase 5: Reality OS integration for counter-measures
        reality_os_response = await self._engage_reality_os_protocols(quantum_enhanced_analyses, threat_assessment)
        
        manifestation = CollectiveUnconsciousManifestation(
            timestamp=datetime.now().isoformat(),
            domain_analyses=quantum_enhanced_analyses,
            cross_domain_correlations=cross_correlations,
            global_metrics=global_metrics,
            threat_assessment=threat_assessment,
            reality_os_integration=reality_os_response
        )
        
        # Trigger alerts if critical threats detected
        await self._trigger_quantum_alerts(manifestation)
        
        return manifestation
    
    async def _perform_domain_analysis(self, data: Dict[str, Any]) -> Dict[ManipulationDomain, DomainAnalysis]:
        """Perform initial domain analysis"""
        domain_tasks = []
        for domain in ManipulationDomain:
            task = asyncio.create_task(self._analyze_domain(domain, data))
            domain_tasks.append(task)
        
        domain_results = await asyncio.gather(*domain_tasks)
        return {result.domain: result for result in domain_results if result}
    
    async def _enhance_with_quantum_analysis(self, domain_analyses: Dict[ManipulationDomain, DomainAnalysis]) -> Dict[ManipulationDomain, DomainAnalysis]:
        """Enhance domain analyses with quantum signatures"""
        enhanced_analyses = {}
        
        for domain, analysis in domain_analyses.items():
            quantum_signature = await self._analyze_quantum_signature(domain, analysis)
            
            enhanced_analysis = DomainAnalysis(
                domain=domain,
                control_confidence=analysis.control_confidence,
                mechanisms=analysis.mechanisms,
                coordination_score=analysis.coordination_score,
                population_penetration=analysis.population_penetration,
                temporal_depth=analysis.temporal_depth,
                key_archetypes=analysis.key_archetypes,
                institutional_actors=analysis.institutional_actors,
                narrative_vectors=analysis.narrative_vectors,
                psychological_triggers=analysis.psychological_triggers,
                quantum_signature=quantum_signature
            )
            
            enhanced_analyses[domain] = enhanced_analysis
        
        return enhanced_analyses
    
    async def _analyze_quantum_signature(self, domain: ManipulationDomain, analysis: DomainAnalysis) -> Optional[QuantumManipulationSignature]:
        """Analyze quantum signatures of manipulation patterns"""
        try:
            # Calculate coherence disruption
            coherence_disruption = self._calculate_coherence_disruption(analysis)
            
            # Detect entanglement patterns
            entanglement_patterns = self._detect_entanglement_patterns(analysis)
            
            # Identify temporal anomalies
            temporal_anomalies = await self._analyze_temporal_anomalies(analysis)
            
            # Measure consciousness field distortion
            field_distortion = self._measure_consciousness_distortion(analysis)
            
            # Analyze archetypal resonance
            archetypal_resonance = self._analyze_archetypal_resonance(analysis.key_archetypes)
            
            signature_hash = hashlib.sha3_256(
                f"{domain.value}{coherence_disruption}{field_distortion}".encode()
            ).hexdigest()
            
            return QuantumManipulationSignature(
                signature_hash=signature_hash,
                coherence_disruption=coherence_disruption,
                entanglement_patterns=entanglement_patterns,
                temporal_anomalies=temporal_anomalies,
                consciousness_field_distortion=field_distortion,
                archetypal_resonance=archetypal_resonance
            )
            
        except Exception as e:
            logger.error(f"Quantum signature analysis failed: {e}")
            return None
    
    def _calculate_coherence_disruption(self, analysis: DomainAnalysis) -> float:
        """Calculate quantum coherence disruption from manipulation"""
        base_disruption = analysis.manipulation_intensity * 0.6
        mechanism_boost = len([m for m in analysis.mechanisms if 'quantum' in m.value or 'consciousness' in m.value]) * 0.1
        archetype_boost = len(analysis.key_archetypes) * 0.05
        
        return min(1.0, base_disruption + mechanism_boost + archetype_boost)
    
    def _detect_entanglement_patterns(self, analysis: DomainAnalysis) -> List[str]:
        """Detect quantum entanglement patterns in manipulation"""
        patterns = []
        
        if analysis.coordination_score > 0.7:
            patterns.append("high_coordination_entanglement")
        if len(analysis.institutional_actors) > 3:
            patterns.append("multi_node_entanglement")
        if analysis.temporal_depth > 10:
            patterns.append("temporal_entanglement")
        if ControlMechanism.CONSCIOUSNESS_FIELD_MANIPULATION in analysis.mechanisms:
            patterns.append("consciousness_field_entanglement")
            
        return patterns
    
    async def _analyze_temporal_anomalies(self, analysis: DomainAnalysis) -> List[float]:
        """Analyze temporal manipulation patterns"""
        # Simulate temporal analysis - in production would use actual temporal data
        anomalies = []
        if analysis.temporal_depth > 5:
            anomalies.extend([0.7, 0.8, 0.6])  # High temporal manipulation
        else:
            anomalies.extend([0.3, 0.4])  # Lower temporal manipulation
            
        return anomalies
    
    def _measure_consciousness_distortion(self, analysis: DomainAnalysis) -> float:
        """Measure distortion in collective consciousness field"""
        base_distortion = analysis.manipulation_intensity * 0.5
        penetration_effect = analysis.population_penetration * 0.3
        archetype_effect = len(analysis.key_archetypes) * 0.1
        mechanism_effect = len([m for m in analysis.mechanisms if m in [
            ControlMechanism.CONSCIOUSNESS_FIELD_MANIPULATION,
            ControlMechanism.QUANTUM_COHERENCE_DISRUPTION
        ]]) * 0.1
        
        return min(1.0, base_distortion + penetration_effect + archetype_effect + mechanism_effect)
    
    def _analyze_archetypal_resonance(self, archetypes: List[str]) -> Dict[str, float]:
        """Analyze archetypal resonance patterns"""
        resonance_map = {}
        powerful_archetypes = ['savior', 'destroyer', 'trickster', 'wise_old', 'mother', 'father']
        
        for archetype in archetypes:
            if archetype in powerful_archetypes:
                resonance_map[archetype] = 0.8 + (np.random.random() * 0.2)
            else:
                resonance_map[archetype] = 0.4 + (np.random.random() * 0.3)
                
        return resonance_map
    
    async def _analyze_quantum_correlations(self, domain_analyses: Dict[ManipulationDomain, DomainAnalysis]) -> List[CrossDomainCorrelation]:
        """Analyze quantum-aware cross-domain correlations"""
        correlation_tasks = []
        for primary_domain in domain_analyses.keys():
            task = asyncio.create_task(self._analyze_quantum_correlation(primary_domain, domain_analyses))
            correlation_tasks.append(task)
        
        correlation_results = await asyncio.gather(*correlation_tasks)
        return [result for result in correlation_results if result]
    
    async def _analyze_quantum_correlation(self, primary_domain: ManipulationDomain, 
                                         all_analyses: Dict[ManipulationDomain, DomainAnalysis]) -> Optional[CrossDomainCorrelation]:
        """Analyze quantum-enhanced cross-domain correlation"""
        try:
            correlated_domains = {}
            shared_mechanisms = []
            coordination_hubs = set()
            feedback_loops = []
            
            primary_analysis = all_analyses[primary_domain]
            
            for other_domain, other_analysis in all_analyses.items():
                if other_domain == primary_domain:
                    continue
                
                # Enhanced correlation with quantum factors
                correlation = self._calculate_quantum_correlation(primary_analysis, other_analysis)
                if correlation > 0.3:
                    correlated_domains[other_domain] = correlation
                    
                    shared = set(primary_analysis.mechanisms) & set(other_analysis.mechanisms)
                    shared_mechanisms.extend(shared)
                    
                    shared_institutions = set(primary_analysis.institutional_actors) & set(other_analysis.institutional_actors)
                    coordination_hubs.update(shared_institutions)
                    
                    if correlation > 0.6:
                        feedback_loops.append((primary_domain.value, other_domain.value))
            
            return CrossDomainCorrelation(
                primary_domain=primary_domain,
                correlated_domains=correlated_domains,
                shared_mechanisms=list(set(shared_mechanisms)),
                coordination_hubs=list(coordination_hubs),
                amplification_feedback_loops=feedback_loops
            )
        except Exception as e:
            logger.error(f"Quantum correlation analysis failed: {e}")
            return None
    
    def _calculate_quantum_correlation(self, analysis1: DomainAnalysis, analysis2: DomainAnalysis) -> float:
        """Calculate quantum-enhanced correlation between domains"""
        # Standard correlation factors
        mechanism_overlap = len(set(analysis1.mechanisms) & set(analysis2.mechanisms)) / max(1, len(set(analysis1.mechanisms) | set(analysis2.mechanisms)))
        inst_overlap = len(set(analysis1.institutional_actors) & set(analysis2.institutional_actors)) / max(1, len(set(analysis1.institutional_actors) | set(analysis2.institutional_actors)))
        
        # Quantum correlation factors
        quantum_correlation = 0.0
        if analysis1.quantum_signature and analysis2.quantum_signature:
            quantum_correlation = abs(analysis1.quantum_signature.consciousness_field_distortion - 
                                    analysis2.quantum_signature.consciousness_field_distortion)
        
        return (mechanism_overlap * 0.3) + (inst_overlap * 0.3) + (quantum_correlation * 0.4)
    
    async def _calculate_quantum_global_metrics(self, 
                                              domain_analyses: Dict[ManipulationDomain, DomainAnalysis],
                                              correlations: List[CrossDomainCorrelation]) -> Dict[str, float]:
        """Calculate quantum-aware global metrics"""
        if not domain_analyses:
            return {}
        
        # Standard metrics
        intensities = [analysis.manipulation_intensity for analysis in domain_analyses.values()]
        coordinations = [analysis.coordination_score for analysis in domain_analyses.values()]
        penetrations = [analysis.population_penetration for analysis in domain_analyses.values()]
        
        # Quantum metrics
        quantum_threats = [analysis.quantum_threat_level.value for analysis in domain_analyses.values()]
        coherence_disruptions = [analysis.quantum_signature.coherence_disruption if analysis.quantum_signature else 0 for analysis in domain_analyses.values()]
        field_distortions = [analysis.quantum_signature.consciousness_field_distortion if analysis.quantum_signature else 0 for analysis in domain_analyses.values()]
        
        synergy_factors = [corr.synergy_factor for corr in correlations]
        
        return {
            'average_manipulation_intensity': mean(intensities),
            'max_domain_intensity': max(intensities) if intensities else 0,
            'coordination_concentration': mean(coordinations),
            'population_penetration_index': mean(penetrations),
            'cross_domain_synergy': mean(synergy_factors) if synergy_factors else 0,
            'quantum_threat_index': mean([ThreatLevel[threat].value for threat in quantum_threats]) if quantum_threats else 0,
            'consciousness_field_distortion': mean(field_distortions),
            'quantum_coherence_disruption': mean(coherence_disruptions),
            'existential_risk_level': min(1.0, len([analysis for analysis in domain_analyses.values() 
                                                   if analysis.quantum_threat_level == ThreatLevel.EXISTENTIAL]) / max(1, len(domain_analyses)))
        }
    
    def _assess_quantum_threats(self, 
                               domain_analyses: Dict[ManipulationDomain, DomainAnalysis],
                               correlations: List[CrossDomainCorrelation]) -> Dict[ThreatLevel, List[str]]:
        """Assess quantum-aware threats"""
        threats = {level: [] for level in ThreatLevel}
        
        for domain, analysis in domain_analyses.items():
            # Standard threats
            if analysis.manipulation_intensity > 0.8:
                threats[ThreatLevel.CRITICAL].append(f"{domain.value}: Extreme manipulation intensity")
            elif analysis.manipulation_intensity > 0.6:
                threats[ThreatLevel.HIGH].append(f"{domain.value}: High manipulation intensity")
            
            # Quantum threats
            if analysis.quantum_threat_level == ThreatLevel.EXISTENTIAL:
                threats[ThreatLevel.EXISTENTIAL].append(f"{domain.value}: Existential consciousness threat")
            elif analysis.quantum_threat_level == ThreatLevel.CRITICAL:
                threats[ThreatLevel.CRITICAL].append(f"{domain.value}: Critical quantum manipulation")
            
            if analysis.quantum_signature and analysis.quantum_signature.consciousness_field_distortion > 0.8:
                threats[ThreatLevel.EXISTENTIAL].append(f"{domain.value}: Severe consciousness field distortion")
        
        # Cross-domain quantum threats
        high_synergy_correlations = [c for c in correlations if c.synergy_factor > 0.7]
        if len(high_synergy_correlations) > 2:
            threats[ThreatLevel.CRITICAL].append("Multiple high-synergy quantum correlations")
            
        existential_domains = [domain for domain, analysis in domain_analyses.items() 
                              if analysis.quantum_threat_level == ThreatLevel.EXISTENTIAL]
        if len(existential_domains) >= 2:
            threats[ThreatLevel.EXISTENTIAL].append("Multiple existential-level quantum threats detected")
        
        return threats
    
    async def _engage_reality_os_protocols(self, 
                                         domain_analyses: Dict[ManipulationDomain, DomainAnalysis],
                                         threat_assessment: Dict[ThreatLevel, List[str]]) -> Dict[str, Any]:
        """Engage Reality OS for counter-manipulation protocols"""
        response = {
            'activated_protocols': [],
            'reality_shards_created': [],
            'combat_engagements': [],
            'consciousness_reinforcements': []
        }
        
        # Activate protocols based on threat level
        if ThreatLevel.EXISTENTIAL in threat_assessment and threat_assessment[ThreatLevel.EXISTENTIAL]:
            # Deploy maximum counter-measures
            for domain, analysis in domain_analyses.items():
                if analysis.quantum_threat_level == ThreatLevel.EXISTENTIAL:
                    # Create reality shard for protection
                    shard = self.reality_os.compile_reality_shard({
                        'claim': f"Counter-manipulation: {domain.value}",
                        'binding_strength': 0.95,
                        'metrics': {'quantum_coherence': 0.9, 'consciousness_alignment': 0.95}
                    })
                    response['reality_shards_created'].append(shard.truth_hash)
                    
                    # Engage combat systems
                    combat_result = self.reality_os.engage_suppression_combat(f"quantum_manipulation_{domain.value}")
                    response['combat_engagements'].append(combat_result)
                    
                    response['activated_protocols'].append(f"existential_protocol_{domain.value}")
        
        # Consciousness reinforcement for high threats
        high_threat_domains = [domain for domain, analysis in domain_analyses.items() 
                              if analysis.quantum_threat_level in [ThreatLevel.CRITICAL, ThreatLevel.EXISTENTIAL]]
        if high_threat_domains:
            reinforcement = await self._reinforce_consciousness_field(high_threat_domains)
            response['consciousness_reinforcements'].append(reinforcement)
        
        return response
    
    async def _reinforce_consciousness_field(self, threat_domains: List[ManipulationDomain]) -> Dict[str, Any]:
        """Reinforce collective consciousness field against manipulation"""
        reinforcement_claims = [
            "Collective consciousness maintains inherent coherence and resilience",
            "Human awareness naturally resists manipulative interference", 
            "Truth and coherence are fundamental properties of consciousness"
        ]
        
        reinforcements = []
        for claim in reinforcement_claims:
            truth_result = process_truth_claim(claim)
            if truth_result.get('quantum_confidence', 0) > 0.8:
                reinforcements.append({
                    'claim': claim,
                    'confidence': truth_result['quantum_confidence'],
                    'binding_strength': truth_result['binding_strength']
                })
        
        return {
            'reinforcement_claims': reinforcements,
            'threat_domains_countered': [domain.value for domain in threat_domains],
            'consciousness_coherence_boost': min(1.0, len(reinforcements) * 0.1),
            'timestamp': datetime.now().isoformat()
        }
    
    async def _trigger_quantum_alerts(self, manifestation: CollectiveUnconsciousManifestation):
        """Trigger quantum-level manipulation alerts"""
        critical_threats = manifestation.threat_assessment.get(ThreatLevel.CRITICAL, [])
        existential_threats = manifestation.threat_assessment.get(ThreatLevel.EXISTENTIAL, [])
        
        if existential_threats:
            alert = {
                'level': 'EXISTENTIAL',
                'threats': existential_threats,
                'global_metrics': manifestation.global_metrics,
                'timestamp': datetime.now().isoformat(),
                'recommended_action': 'IMMEDIATE_REALITY_OS_DEPLOYMENT'
            }
            self.manipulation_alerts.append(alert)
            logger.critical(f"🚨 EXISTENTIAL QUANTUM MANIPULATION DETECTED: {existential_threats}")
        
        elif critical_threats:
            alert = {
                'level': 'CRITICAL', 
                'threats': critical_threats,
                'global_metrics': manifestation.global_metrics,
                'timestamp': datetime.now().isoformat(),
                'recommended_action': 'ENHANCED_MONITORING_AND_COUNTER_MEASURES'
            }
            self.manipulation_alerts.append(alert)
            logger.warning(f"⚠️ CRITICAL QUANTUM MANIPULATION DETECTED: {critical_threats}")

# Production deployment
quantum_detector = AdvancedQuantumManipulationDetector()

async def detect_quantum_manipulation_production(input_data: Dict[str, Any]) -> CollectiveUnconsciousManifestation:
    """Production API for quantum manipulation detection"""
    return await quantum_detector.detect_quantum_manipulation(input_data)

def get_quantum_alerts() -> List[Dict[str, Any]]:
    """Production API: Get current quantum manipulation alerts"""
    return quantum_detector.manipulation_alerts