| #!/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()) |