#!/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())