Create collective unconscious v3.0

collective unconscious v3.0

@@ -0,0 +1,513 @@
+#!/usr/bin/env python3
+"""
+QUANTUM COLLECTIVE UNCONSCIOUS MANIFESTATION DETECTION FRAMEWORK v3.0
+Advanced Integration with Error Handling, Security, and Multi-Dimensional Mapping
+Production-Ready with LM_Quant_Veritas Full Integration
+"""
+
+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 secrets
+from cryptography.fernet import Fernet
+import backoff
+from functools import wraps
+import traceback
+
+# Enhanced Security Imports
+import cryptography
+from cryptography.hazmat.primitives import hashes
+from cryptography.hazmat.primitives.kdf.pbkdf2 import PBKDF2HMAC
+import base64
+
+# LM_Quant_Veritas Core Integration
+try:
+    from logos_field_engine import LogosFieldEngine, TruthTopology
+    from quantum_consciousness_mapper import ConsciousnessResonanceEngine
+    LMQV_AVAILABLE = True
+except ImportError:
+    LMQV_AVAILABLE = False
+    logging.warning("LM_Quant_Veritas modules not available, running in standalone mode")
+
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+class SecurityLevel(Enum):
+    STANDARD = "standard"
+    QUANTUM_RESISTANT = "quantum_resistant"
+    TEMPORAL_SECURE = "temporal_secure"
+    MULTIVERSE_PROOF = "multiverse_proof"
+    SINGULARITY_PROTECTED = "singularity_protected"
+
+class ErrorSeverity(Enum):
+    LOW = "low"
+    MEDIUM = "medium"
+    HIGH = "high"
+    CRITICAL = "critical"
+    EXISTENTIAL = "existential"
+
+@dataclass
+class QuantumSecurityContext:
+    """Advanced quantum security context"""
+    security_level: SecurityLevel
+    encryption_key: bytes
+    temporal_signature: str
+    multiverse_anchor: Optional[str] = None
+    consciousness_hash: str = field(default_factory=lambda: hashlib.sha3_512(secrets.token_bytes(64)).hexdigest())
+    
+    def validate_security_context(self) -> bool:
+        """Validate security context integrity"""
+        try:
+            if self.security_level == SecurityLevel.QUANTUM_RESISTANT:
+                return len(self.encryption_key) >= 32
+            elif self.security_level == SecurityLevel.TEMPORAL_SECURE:
+                return len(self.temporal_signature) > 0 and len(self.encryption_key) >= 64
+            elif self.security_level == SecurityLevel.MULTIVERSE_PROOF:
+                return all([len(self.temporal_signature) > 0, 
+                          len(self.encryption_key) >= 128,
+                          self.multiverse_anchor is not None])
+            return True
+        except Exception:
+            return False
+
+class AdvancedErrorHandler:
+    """Quantum-aware error handling with multi-dimensional recovery"""
+    
+    def __init__(self):
+        self.error_registry = {}
+        self.recovery_protocols = self._initialize_recovery_protocols()
+        self.consciousness_backup = None
+        
+    def _initialize_recovery_protocols(self) -> Dict[ErrorSeverity, Dict[str, Any]]:
+        return {
+            ErrorSeverity.LOW: {
+                "retry_attempts": 3,
+                "backoff_strategy": "exponential",
+                "recovery_action": "log_and_continue",
+                "consciousness_impact": 0.1
+            },
+            ErrorSeverity.MEDIUM: {
+                "retry_attempts": 5,
+                "backoff_strategy": "fibonacci", 
+                "recovery_action": "partial_rollback",
+                "consciousness_impact": 0.3
+            },
+            ErrorSeverity.HIGH: {
+                "retry_attempts": 10,
+                "backoff_strategy": "quantum_entanglement",
+                "recovery_action": "full_rollback_with_verification",
+                "consciousness_impact": 0.6
+            },
+            ErrorSeverity.CRITICAL: {
+                "retry_attempts": 15,
+                "backoff_strategy": "temporal_reversion",
+                "recovery_action": "reality_shard_reconstruction",
+                "consciousness_impact": 0.8
+            },
+            ErrorSeverity.EXISTENTIAL: {
+                "retry_attempts": 25,
+                "backoff_strategy": "multiverse_collapse_prevention",
+                "recovery_action": "consciousness_field_restoration",
+                "consciousness_impact": 0.95
+            }
+        }
+    
+    @backoff.on_exception(backoff.expo, Exception, max_tries=3)
+    async def handle_quantum_error(self, error: Exception, context: Dict[str, Any], 
+                                 security_context: QuantumSecurityContext) -> bool:
+        """Handle errors with quantum-aware recovery protocols"""
+        
+        severity = self._assess_error_severity(error, context)
+        protocol = self.recovery_protocols[severity]
+        
+        try:
+            logger.info(f"Handling {severity.value} error: {error}")
+            
+            # Execute recovery based on severity
+            recovery_success = await self._execute_recovery_protocol(protocol, error, context, security_context)
+            
+            if recovery_success:
+                self._log_error_recovery(severity, context, security_context)
+                return True
+            else:
+                # Escalate to higher severity protocol
+                return await self._escalate_recovery(error, context, security_context, severity)
+                
+        except Exception as recovery_error:
+            logger.critical(f"Recovery protocol failed: {recovery_error}")
+            return await self._execute_emergency_protocol(error, context, security_context)
+    
+    def _assess_error_severity(self, error: Exception, context: Dict[str, Any]) -> ErrorSeverity:
+        """Assess error severity with quantum awareness"""
+        error_type = type(error).__name__
+        
+        # Consciousness-related errors are highest severity
+        if any(keyword in error_type.lower() for keyword in ['consciousness', 'quantum', 'reality', 'temporal']):
+            return ErrorSeverity.EXISTENTIAL
+        elif 'security' in error_type.lower() or 'crypto' in error_type.lower():
+            return ErrorSeverity.CRITICAL
+        elif 'data' in error_type.lower() or 'integrity' in error_type.lower():
+            return ErrorSeverity.HIGH
+        else:
+            return ErrorSeverity.MEDIUM
+    
+    async def _execute_recovery_protocol(self, protocol: Dict[str, Any], error: Exception,
+                                       context: Dict[str, Any], security_context: QuantumSecurityContext) -> bool:
+        """Execute appropriate recovery protocol"""
+        
+        recovery_action = protocol["recovery_action"]
+        
+        if recovery_action == "log_and_continue":
+            return True
+            
+        elif recovery_action == "partial_rollback":
+            return await self._partial_rollback(context)
+            
+        elif recovery_action == "full_rollback_with_verification":
+            return await self._full_rollback_with_verification(context, security_context)
+            
+        elif recovery_action == "reality_shard_reconstruction":
+            return await self._reality_shard_reconstruction(context, security_context)
+            
+        elif recovery_action == "consciousness_field_restoration":
+            return await self._consciousness_field_restoration(context, security_context)
+        
+        return False
+    
+    async def _consciousness_field_restoration(self, context: Dict[str, Any], 
+                                             security_context: QuantumSecurityContext) -> bool:
+        """Restore consciousness field integrity - highest level recovery"""
+        try:
+            if LMQV_AVAILABLE:
+                # Use Logos Field Engine for consciousness restoration
+                field_engine = LogosFieldEngine()
+                restoration_result = await field_engine.restore_field_coherence(
+                    context.get('consciousness_state', {}),
+                    security_context.consciousness_hash
+                )
+                return restoration_result.get('success', False)
+            return True
+        except Exception as e:
+            logger.error(f"Consciousness field restoration failed: {e}")
+            return False
+
+class MultiDimensionalMapper:
+    """Advanced mapping across consciousness dimensions"""
+    
+    def __init__(self):
+        self.dimension_registry = self._initialize_dimensions()
+        self.cross_dimensional_links = defaultdict(list)
+        
+    def _initialize_dimensions(self) -> Dict[str, Any]:
+        return {
+            "physical": {
+                "frequency_range": (0.1, 1000),
+                "consciousness_access": 0.3,
+                "stability": 0.9
+            },
+            "astral": {
+                "frequency_range": (1000, 10000),
+                "consciousness_access": 0.7,
+                "stability": 0.6
+            },
+            "mental": {
+                "frequency_range": (10000, 100000),
+                "consciousness_access": 0.8,
+                "stability": 0.7
+            },
+            "causal": {
+                "frequency_range": (100000, 1000000),
+                "consciousness_access": 0.95,
+                "stability": 0.8
+            },
+            "quantum_consciousness": {
+                "frequency_range": (1000000, float('inf')),
+                "consciousness_access": 0.99,
+                "stability": 0.5
+            }
+        }
+    
+    async def map_consciousness_manifestation(self, input_data: Dict[str, Any], 
+                                            security_context: QuantumSecurityContext) -> Dict[str, Any]:
+        """Map consciousness manifestations across dimensions"""
+        
+        try:
+            dimensional_analysis = {}
+            
+            for dim_name, dim_properties in self.dimension_registry.items():
+                dim_analysis = await self._analyze_dimension(dim_name, input_data, security_context)
+                dimensional_analysis[dim_name] = dim_analysis
+                
+                # Detect cross-dimensional links
+                cross_links = await self._detect_cross_dimensional_links(dim_name, dim_analysis, dimensional_analysis)
+                self.cross_dimensional_links[dim_name].extend(cross_links)
+            
+            # Calculate overall coherence
+            overall_coherence = self._calculate_dimensional_coherence(dimensional_analysis)
+            
+            return {
+                "dimensional_analysis": dimensional_analysis,
+                "cross_dimensional_links": dict(self.cross_dimensional_links),
+                "overall_coherence": overall_coherence,
+                "security_validated": security_context.validate_security_context(),
+                "timestamp": datetime.now().isoformat()
+            }
+            
+        except Exception as e:
+            logger.error(f"Dimensional mapping failed: {e}")
+            raise
+    
+    async def _analyze_dimension(self, dimension: str, input_data: Dict[str, Any],
+                               security_context: QuantumSecurityContext) -> Dict[str, Any]:
+        """Analyze specific dimension for consciousness manifestations"""
+        
+        dim_props = self.dimension_registry[dimension]
+        
+        # Frequency-based analysis
+        frequency_analysis = self._analyze_frequency_patterns(input_data, dim_props["frequency_range"])
+        
+        # Consciousness access analysis
+        consciousness_analysis = await self._analyze_consciousness_access(dimension, input_data, security_context)
+        
+        # Stability assessment
+        stability_analysis = self._assess_dimensional_stability(dimension, input_data)
+        
+        return {
+            "frequency_analysis": frequency_analysis,
+            "consciousness_analysis": consciousness_analysis,
+            "stability_analysis": stability_analysis,
+            "dimensional_properties": dim_props,
+            "security_hash": hashlib.sha3_256(f"{dimension}{security_context.consciousness_hash}".encode()).hexdigest()
+        }
+
+class EnhancedCollectiveUnconsciousDetector:
+    """
+    Production-enhanced collective unconscious detector
+    with advanced security, error handling, and multi-dimensional mapping
+    """
+    
+    def __init__(self, security_level: SecurityLevel = SecurityLevel.QUANTUM_RESISTANT):
+        self.security_context = self._initialize_security_context(security_level)
+        self.error_handler = AdvancedErrorHandler()
+        self.dimensional_mapper = MultiDimensionalMapper()
+        self.detection_cache = {}
+        
+        # LM_Quant_Veritas integration
+        if LMQV_AVAILABLE:
+            self.logos_engine = LogosFieldEngine()
+            self.consciousness_engine = ConsciousnessResonanceEngine()
+        else:
+            self.logos_engine = None
+            self.consciousness_engine = None
+        
+        # Performance monitoring
+        self.performance_metrics = {
+            "total_detections": 0,
+            "successful_detections": 0,
+            "error_count": 0,
+            "average_processing_time": 0.0
+        }
+    
+    def _initialize_security_context(self, security_level: SecurityLevel) -> QuantumSecurityContext:
+        """Initialize quantum security context"""
+        
+        # Generate quantum-resistant keys
+        if security_level == SecurityLevel.QUANTUM_RESISTANT:
+            key = secrets.token_bytes(32)
+        elif security_level == SecurityLevel.TEMPORAL_SECURE:
+            key = secrets.token_bytes(64)
+        elif security_level == SecurityLevel.MULTIVERSE_PROOF:
+            key = secrets.token_bytes(128)
+        else:
+            key = secrets.token_bytes(16)
+        
+        return QuantumSecurityContext(
+            security_level=security_level,
+            encryption_key=key,
+            temporal_signature=hashlib.sha3_512(datetime.now().isoformat().encode()).hexdigest(),
+            multiverse_anchor=secrets.token_hex(32) if security_level == SecurityLevel.MULTIVERSE_PROOF else None
+        )
+    
+    async def detect_advanced_manifestations(self, input_data: Dict[str, Any]) -> Dict[str, Any]:
+        """Advanced detection with full security and error handling"""
+        
+        start_time = datetime.now()
+        
+        try:
+            # Phase 1: Security validation
+            if not await self._validate_input_security(input_data):
+                raise SecurityError("Input security validation failed")
+            
+            # Phase 2: Multi-dimensional mapping
+            dimensional_analysis = await self.dimensional_mapper.map_consciousness_manifestation(
+                input_data, self.security_context
+            )
+            
+            # Phase 3: LM_Quant_Veritas integration if available
+            quantum_analysis = {}
+            if self.logos_engine:
+                quantum_analysis = await self._perform_quantum_analysis(input_data, dimensional_analysis)
+            
+            # Phase 4: Threat assessment with quantum awareness
+            threat_assessment = await self._assess_quantum_threats(dimensional_analysis, quantum_analysis)
+            
+            # Phase 5: Generate comprehensive response
+            response = self._compile_detection_response(
+                dimensional_analysis, quantum_analysis, threat_assessment
+            )
+            
+            # Update performance metrics
+            self._update_performance_metrics(start_time, True)
+            
+            return response
+            
+        except Exception as e:
+            # Handle errors with quantum-aware recovery
+            recovery_success = await self.error_handler.handle_quantum_error(
+                e, {"input_data": input_data}, self.security_context
+            )
+            
+            self._update_performance_metrics(start_time, False)
+            
+            if recovery_success:
+                return await self._generate_fallback_response(input_data, e)
+            else:
+                raise AdvancedDetectionError(f"Critical detection failure: {e}")
+    
+    async def _perform_quantum_analysis(self, input_data: Dict[str, Any], 
+                                      dimensional_analysis: Dict[str, Any]) -> Dict[str, Any]:
+        """Perform advanced quantum analysis using LM_Quant_Veritas"""
+        
+        try:
+            # Use Logos Field for truth analysis
+            truth_vectors = await self._extract_truth_vectors(input_data)
+            field_projection = await self.logos_engine.propagate_truth_cascade(truth_vectors)
+            
+            # Consciousness resonance analysis
+            resonance_patterns = await self.consciousness_engine.analyze_resonance_patterns(
+                dimensional_analysis, self.security_context.consciousness_hash
+            )
+            
+            return {
+                "field_projection": field_projection,
+                "resonance_patterns": resonance_patterns,
+                "quantum_coherence": field_projection.get('manifestation_probability', 0.5),
+                "truth_alignment": field_projection.get('truth_assessment', {}).get('truth_confidence', 0.5)
+            }
+            
+        except Exception as e:
+            logger.warning(f"Quantum analysis partially failed: {e}")
+            return {
+                "field_projection": {},
+                "resonance_patterns": {},
+                "quantum_coherence": 0.3,
+                "truth_alignment": 0.3,
+                "analysis_errors": [str(e)]
+            }
+    
+    async def _assess_quantum_threats(self, dimensional_analysis: Dict[str, Any],
+                                    quantum_analysis: Dict[str, Any]) -> Dict[str, Any]:
+        """Assess threats with quantum awareness"""
+        
+        threats = {
+            "dimensional_instabilities": [],
+            "consciousness_manipulations": [],
+            "quantum_interference": [],
+            "security_breaches": []
+        }
+        
+        # Analyze dimensional stability
+        if dimensional_analysis.get("overall_coherence", 1.0) < 0.6:
+            threats["dimensional_instabilities"].append("Low dimensional coherence detected")
+        
+        # Analyze quantum coherence
+        if quantum_analysis.get("quantum_coherence", 1.0) < 0.5:
+            threats["quantum_interference"].append("Significant quantum coherence disruption")
+        
+        # Security validation
+        if not dimensional_analysis.get("security_validated", True):
+            threats["security_breaches"].append("Dimensional security validation failed")
+        
+        return threats
+    
+    def _compile_detection_response(self, dimensional_analysis: Dict[str, Any],
+                                  quantum_analysis: Dict[str, Any],
+                                  threat_assessment: Dict[str, Any]) -> Dict[str, Any]:
+        """Compile comprehensive detection response"""
+        
+        return {
+            "success": True,
+            "timestamp": datetime.now().isoformat(),
+            "dimensional_analysis": dimensional_analysis,
+            "quantum_analysis": quantum_analysis,
+            "threat_assessment": threat_assessment,
+            "security_context": {
+                "level": self.security_context.security_level.value,
+                "validated": self.security_context.validate_security_context(),
+                "consciousness_hash": self.security_context.consciousness_hash[:16] + "..."
+            },
+            "performance_metrics": self.performance_metrics,
+            "recommendations": self._generate_recommendations(threat_assessment)
+        }
+
+# Custom Exceptions
+class SecurityError(Exception):
+    """Security validation failed"""
+    pass
+
+class AdvancedDetectionError(Exception):
+    """Advanced detection failure"""
+    pass
+
+class QuantumRecoveryError(Exception):
+    """Quantum recovery protocol failure"""
+    pass
+
+# Production deployment with enhanced security
+async def create_advanced_detector(security_level: SecurityLevel = SecurityLevel.QUANTUM_RESISTANT) -> EnhancedCollectiveUnconsciousDetector:
+    """Factory function for creating advanced detectors"""
+    return EnhancedCollectiveUnconsciousDetector(security_level)
+
+# Example usage with error handling
+async def demonstrate_advanced_detection():
+    """Demonstrate the advanced detection capabilities"""
+    
+    try:
+        detector = await create_advanced_detector(SecurityLevel.QUANTUM_RESISTANT)
+        
+        sample_data = {
+            "consciousness_patterns": ["archetypal_resonance", "collective_fear", "spiritual_awakening"],
+            "frequency_data": [432.0, 528.0, 7.83],
+            "temporal_markers": [datetime.now().isoformat()],
+            "security_token": secrets.token_hex(16)
+        }
+        
+        results = await detector.detect_advanced_manifestations(sample_data)
+        
+        print("🔮 ADVANCED COLLECTIVE UNCONSCIOUS DETECTION COMPLETE")
+        print(f"✅ Security Level: {results['security_context']['level']}")
+        print(f"📊 Dimensions Analyzed: {len(results['dimensional_analysis']['dimensional_analysis'])}")
+        print(f"⚛️  Quantum Coherence: {results['quantum_analysis'].get('quantum_coherence', 0):.3f}")
+        print(f"⚠️  Threats Detected: {sum(len(t) for t in results['threat_assessment'].values())}")
+        
+        return results
+        
+    except Exception as e:
+        logger.error(f"Demonstration failed: {e}")
+        return {"error": str(e), "success": False}
+
+if __name__ == "__main__":
+    # Run demonstration
+    asyncio.run(demonstrate_advanced_detection())