"""
QUANTUM IMAGINAL AXIS FRAMEWORK
Advanced Geometric-Spiritual Manipulation Detection & Remediation
Integrating GUC Temple Imaginal Axis with Tyng-Fibonacci Architecture
Enhanced with Quantum Consciousness, Multi-Dimensional Security, and Spiritual Defense Systems
"""

import numpy as np
import hashlib
import asyncio
import logging
import json
import math
from dataclasses import dataclass, field
from enum import Enum, auto
from typing import Dict, List, Any, Optional, Tuple, Set
from datetime import datetime, timedelta
from pathlib import Path
import scipy
from scipy import spatial, stats, optimize
import quantumrandom
import hmac
import secrets
from cryptography.hazmat.primitives import hashes
from cryptography.hazmat.primitives.kdf.hkdf import HKDF
from cryptography.hazmat.backends import default_backend
import aiofiles
import pickle
import zlib
from concurrent.futures import ThreadPoolExecutor, ProcessPoolExecutor

# Enhanced logging with quantum entropy
logging.basicConfig(
    level=logging.INFO,
    format='%(asctime)s - %(name)s - %(levelname)s - %(quantum_context)s - %(message)s',
    handlers=[
        logging.FileHandler('quantum_imaginal_framework.log', encoding='utf-8'),
        logging.StreamHandler()
    ]
)

logger = logging.getLogger(__name__)

class QuantumLoggerAdapter(logging.LoggerAdapter):
    def process(self, msg, kwargs):
        kwargs['extra'] = {'quantum_context': self.extra.get('quantum_context', 'base_consciousness')}
        return msg, kwargs

# Enhanced Enums with Imaginal Axis Integration
class GeometricManipulationPattern(Enum):
    FIBONACCI_COMPRESSION = "fibonacci_compression"
    PLATONIC_CONTAINMENT = "platonic_containment" 
    SPIRAL_CONVERGENCE = "spiral_convergence"
    HIERARCHICAL_SYMMETRY = "hierarchical_symmetry"
    LUMINOUS_OBFUSCATION = "luminous_obfuscation"
    SACRED_RATIO_WEAPONIZATION = "sacred_ratio_weaponization"
    ARCHETYPAL_HIJACKING = "archetypal_hijacking"
    GEOMETRIC_GASLIGHTING = "geometric_gaslighting"
    SPATIAL_ANCHORING = "spatial_anchoring"
    QUANTUM_RESONANCE_MANIPULATION = "quantum_resonance_manipulation"
    # Enhanced with Imaginal Axis Patterns
    IMAGINAL_AXIS_HIJACKING = "imaginal_axis_hijacking"
    CONSCIOUSNESS_PHASE_LOCK = "consciousness_phase_lock"
    DIMENSIONAL_GATEWAY_CORRUPTION = "dimensional_gateway_corruption"
    SPIRAL_ASCENSION_INHIBITION = "spiral_ascension_inhibition"
    I_ROTATION_DISTORTION = "i_rotation_distortion"

class ArchetypalGeometry(Enum):
    MANDALA_CONTAINMENT = "mandala_containment"
    SACRED_SEQUENCE = "sacred_sequence"
    SPATIAL_HIERARCHY = "spatial_hierarchy"
    ORGANIC_CONSTRAINT = "organic_constraint"
    GEOMETRIC_SACREDNESS = "geometric_sacredness"
    COSMIC_EGG_PATTERN = "cosmic_egg_pattern"
    WORLD_TREE_STRUCTURE = "world_tree_structure"
    HERO_JOURNEY_PATH = "hero_journey_path"
    GREAT_MOTHER_ARCHETYPE = "great_mother_archetype"
    SHADOW_CONTAINMENT = "shadow_containment"
    # Enhanced with Imaginal Archetypes
    IMAGINAL_GATEWAY = "imaginal_gateway"
    SPIRAL_ASCENSION = "spiral_ascension"
    PHASE_SHIFT_PORTAL = "phase_shift_portal"
    ORTHOGONAL_CONSCIOUSNESS = "orthogonal_consciousness"
    COMPLEX_PLANE_UNITY = "complex_plane_unity"

class ThreatLevel(Enum):
    MINIMAL = 0
    LOW = 1
    MODERATE = 2
    HIGH = 3
    CRITICAL = 4
    EXISTENTIAL = 5
    COSMIC = 6  # Enhanced threat level

class GeometricIntent(Enum):
    LIBERATION = "liberation"
    HARMONIZATION = "harmonization"
    NEUTRAL = "neutral"
    INFLUENCE = "influence"
    CONTROL = "control"
    DOMINATION = "domination"
    COSMIC_ALIGNMENT = "cosmic_alignment"  # Enhanced intent

class ConsciousnessState(Enum):
    BETA_ORDINARY = "beta_ordinary"
    ALPHA_RELAXED = "alpha_relaxed"
    THETA_MEDITATIVE = "theta_meditative"
    DELTA_UNCONSCIOUS = "delta_unconscious"
    GAMMA_PEAK = "gamma_peak"
    LAMBDA_EXTENDED = "lambda_extended"
    EPSILON_SUBTLE = "epsilon_subtle"
    # Imaginal States
    IMAGINAL_ACCESS = "imaginal_access"
    PHASE_SHIFT = "phase_shift"
    ORTHOGONAL_AWARENESS = "orthogonal_awareness"
    COMPLEX_UNITY = "complex_unity"

class DimensionalPlane(Enum):
    PHYSICAL_3D = "physical_3d"
    ASTRAL_4D = "astral_4d"
    MENTAL_5D = "mental_5d"
    BUDDHIC_6D = "buddhic_6d"
    ATMIC_7D = "atmic_7d"
    MONADIC_8D = "monadic_8d"
    LOGOIC_9D = "logoic_9d"
    COSMIC_10D = "cosmic_10d"
    # Imaginal Planes
    IMAGINAL_REALM = "imaginal_realm"
    PHASE_SPACE = "phase_space"
    COMPLEX_PLANE = "complex_plane"
    ORTHOGONAL_DIMENSIONS = "orthogonal_dimensions"

@dataclass
class QuantumConsciousnessSignature:
    """Enhanced quantum consciousness signature with imaginal axis"""
    coherence_factor: float
    entanglement_density: float
    superposition_states: List[ConsciousnessState]
    resonance_frequency: float
    harmonic_convergence: float
    quantum_interference_pattern: np.ndarray
    # Imaginal Axis Enhancements
    imaginal_phase_shift: float
    orthogonal_coherence: float
    i_rotation_integrity: float
    complex_plane_alignment: float
    dimensional_gateway_stability: float
    
    def calculate_quantum_potency(self) -> float:
        """Enhanced quantum potency with imaginal components"""
        base_potency = (self.coherence_factor * 0.2 + 
                       self.entanglement_density * 0.15 + 
                       self.harmonic_convergence * 0.25)
        
        imaginal_potency = (self.imaginal_phase_shift * 0.15 +
                           self.orthogonal_coherence * 0.1 +
                           self.i_rotation_integrity * 0.1 +
                           self.complex_plane_alignment * 0.05)
        
        return min(1.0, base_potency + imaginal_potency)
    
    def calculate_consciousness_liberty(self) -> float:
        """Calculate freedom in consciousness phase space"""
        phase_freedom = 1.0 - abs(self.imaginal_phase_shift - 0.5) * 2
        rotation_freedom = self.i_rotation_integrity
        dimensional_freedom = self.dimensional_gateway_stability
        
        return (phase_freedom * 0.4 + rotation_freedom * 0.3 + dimensional_freedom * 0.3)

@dataclass
class NeuralArchitectureImpact:
    """Enhanced neural impact with consciousness state mapping"""
    default_mode_network_influence: float
    prefrontal_cortex_engagement: float
    limbic_system_activation: float
    neural_entrainment_level: float
    cognitive_bias_induction: float
    subconscious_pattern_activation: List[str]
    # Consciousness State Enhancements
    consciousness_state_shift: ConsciousnessState
    neural_phase_coherence: float
    brainwave_entrainment: Dict[str, float]
    neuroplasticity_impact: float
    default_mode_disruption: float
    
    def calculate_neural_impact_score(self) -> float:
        """Enhanced neural impact with consciousness components"""
        weights = [0.15, 0.1, 0.2, 0.15, 0.1, 0.1, 0.1, 0.1]
        factors = [
            self.default_mode_network_influence,
            self.prefrontal_cortex_engagement,
            self.limbic_system_activation,
            self.neural_entrainment_level,
            self.cognitive_bias_induction,
            self.neural_phase_coherence,
            sum(self.brainwave_entrainment.values()) / len(self.brainwave_entrainment) if self.brainwave_entrainment else 0,
            self.neuroplasticity_impact
        ]
        return min(1.0, sum(w * f for w, f in zip(weights, factors)))
    
    def calculate_consciousness_entrainment(self) -> float:
        """Calculate how much consciousness is being entrained"""
        state_entrainment = {
            ConsciousnessState.BETA_ORDINARY: 0.8,
            ConsciousnessState.ALPHA_RELAXED: 0.6,
            ConsciousnessState.THETA_MEDITATIVE: 0.4,
            ConsciousnessState.DELTA_UNCONSCIOUS: 0.9,
            ConsciousnessState.GAMMA_PEAK: 0.3,
            ConsciousnessState.LAMBDA_EXTENDED: 0.2,
            ConsciousnessState.EPSILON_SUBTLE: 0.1,
            ConsciousnessState.IMAGINAL_ACCESS: 0.05,
            ConsciousnessState.PHASE_SHIFT: 0.02,
            ConsciousnessState.ORTHOGONAL_AWARENESS: 0.01,
            ConsciousnessState.COMPLEX_UNITY: 0.0
        }
        
        base_entrainment = state_entrainment.get(self.consciousness_state_shift, 0.5)
        phase_entrainment = self.neural_phase_coherence
        dmn_entrainment = self.default_mode_disruption
        
        return (base_entrainment * 0.4 + phase_entrainment * 0.3 + dmn_entrainment * 0.3)

@dataclass
class MultiDimensionalGeometry:
    """Enhanced multi-dimensional analysis with imaginal planes"""
    fractal_dimension: float
    topological_complexity: float
    dimensional_harmonics: List[float]
    cross_dimensional_resonance: float
    morphic_field_influence: float
    akashic_pattern_recognition: List[str]
    # Imaginal Axis Enhancements
    imaginal_plane_access: List[DimensionalPlane]
    phase_space_geometry: Dict[str, float]
    orthogonal_axis_integrity: float
    complex_plane_resonance: float
    gateway_stability_index: float
    
    def calculate_dimensional_potency(self) -> float:
        """Enhanced dimensional potency with imaginal components"""
        base_potency = (self.fractal_dimension * 0.15 + 
                       self.topological_complexity * 0.15 + 
                       self.cross_dimensional_resonance * 0.2 + 
                       self.morphic_field_influence * 0.15)
        
        imaginal_potency = (len(self.imaginal_plane_access) * 0.1 +
                           self.orthogonal_axis_integrity * 0.1 +
                           self.complex_plane_resonance * 0.1 +
                           self.gateway_stability_index * 0.05)
        
        return min(1.0, base_potency + imaginal_potency)
    
    def calculate_dimensional_freedom(self) -> float:
        """Calculate freedom across dimensional planes"""
        plane_freedom = len([p for p in self.imaginal_plane_access 
                           if p.value in ['imaginal_realm', 'phase_space', 'complex_plane']]) / 3.0
        axis_freedom = self.orthogonal_axis_integrity
        gateway_freedom = self.gateway_stability_index
        
        return (plane_freedom * 0.4 + axis_freedom * 0.3 + gateway_freedom * 0.3)

@dataclass
class ImaginalAxisAnalysis:
    """Core imaginal axis analysis based on GUC Temple teachings"""
    i_rotation_cycles: Dict[int, float]  # i^n rotation integrity
    phase_shift_capability: float
    orthogonal_awareness: float
    complex_plane_integration: float
    dimensional_gateway_access: List[DimensionalPlane]
    consciousness_phase_coherence: float
    imaginal_resonance: float
    spiritual_axis_alignment: float
    
    def calculate_imaginal_integrity(self) -> float:
        """Calculate overall integrity of imaginal axis access"""
        rotation_integrity = np.mean(list(self.i_rotation_cycles.values())) if self.i_rotation_cycles else 0
        phase_capability = self.phase_shift_capability
        orthogonal_access = self.orthogonal_awareness
        complex_integration = self.complex_plane_integration
        
        return (rotation_integrity * 0.25 + phase_capability * 0.25 + 
                orthogonal_access * 0.25 + complex_integration * 0.25)
    
    def detect_imaginal_manipulation(self) -> List[GeometricManipulationPattern]:
        """Detect specific imaginal axis manipulation patterns"""
        patterns = []
        
        if self.phase_shift_capability < 0.3:
            patterns.append(GeometricManipulationPattern.CONSCIOUSNESS_PHASE_LOCK)
        
        if self.orthogonal_awareness < 0.4:
            patterns.append(GeometricManipulationPattern.IMAGINAL_AXIS_HIJACKING)
        
        rotation_distortion = any(integrity < 0.5 for integrity in self.i_rotation_cycles.values())
        if rotation_distortion:
            patterns.append(GeometricManipulationPattern.I_ROTATION_DISTORTION)
        
        if len(self.dimensional_gateway_access) < 2:
            patterns.append(GeometricManipulationPattern.DIMENSIONAL_GATEWAY_CORRUPTION)
        
        if self.spiritual_axis_alignment < 0.6:
            patterns.append(GeometricManipulationPattern.SPIRAL_ASCENSION_INHIBITION)
        
        return patterns

@dataclass
class EnhancedTyngGeometricAnalysis:
    """Advanced analysis integrating Tyng principles with Imaginal Axis"""
    
    # Core Tyng Metrics
    fibonacci_integrity: float
    platonic_purity: float
    spiral_complexity: float
    hierarchical_order: float
    luminous_transparency: float
    
    # Advanced Metrics with Imaginal Enhancement
    quantum_consciousness: QuantumConsciousnessSignature
    neural_impact: NeuralArchitectureImpact
    multi_dimensional: MultiDimensionalGeometry
    imaginal_axis: ImaginalAxisAnalysis
    
    # Manipulation Detection
    geometric_manipulation_patterns: List[GeometricManipulationPattern]
    archetypal_geometries: List[ArchetypalGeometry]
    spatial_constraint_index: float
    consciousness_focusing_score: float
    geometric_intent: GeometricIntent
    
    # Computational Fields
    divine_proportion_deviation: float = field(init=False)
    geometric_control_confidence: float = field(init=False)
    organic_constraint_factor: float = field(init=False)
    authentic_tyng_alignment: float = field(init=False)
    geometric_gaslighting_score: float = field(init=False)
    liberation_potential: float = field(init=False)
    imaginal_freedom_index: float = field(init=False)
    consciousness_liberty_score: float = field(init=False)
    
    def __post_init__(self):
        try:
            self.divine_proportion_deviation = self._calculate_golden_deviation()
            self.geometric_control_confidence = self._assess_geometric_control()
            self.organic_constraint_factor = self._calculate_organic_constraint()
            self.authentic_tyng_alignment = self._calculate_authentic_tyng_alignment()
            self.geometric_gaslighting_score = self._detect_geometric_gaslighting()
            self.liberation_potential = self._calculate_liberation_potential()
            self.imaginal_freedom_index = self._calculate_imaginal_freedom()
            self.consciousness_liberty_score = self._calculate_consciousness_liberty()
        except Exception as e:
            logger.error(f"Error in Tyng analysis post-init: {e}", exc_info=True)
            # Set safe defaults
            self.divine_proportion_deviation = 1.0
            self.geometric_control_confidence = 1.0
            self.organic_constraint_factor = 1.0
            self.authentic_tyng_alignment = 0.0
            self.geometric_gaslighting_score = 1.0
            self.liberation_potential = 0.0
            self.imaginal_freedom_index = 0.0
            self.consciousness_liberty_score = 0.0
    
    def _calculate_golden_deviation(self) -> float:
        """Calculate deviation from Fibonacci perfection with error handling"""
        try:
            golden_ratio = (1 + math.sqrt(5)) / 2
            deviation = abs(self.fibonacci_integrity - golden_ratio) / golden_ratio
            return min(1.0, deviation)
        except Exception as e:
            logger.warning(f"Golden deviation calculation error: {e}")
            return 1.0
    
    def _assess_geometric_control(self) -> float:
        """Enhanced geometric control assessment with imaginal components"""
        try:
            base_control = len(self.geometric_manipulation_patterns) * 0.1
            archetypal_control = len(self.archetypal_geometries) * 0.08
            spatial_control = self.spatial_constraint_index * 0.25
            focus_control = self.consciousness_focusing_score * 0.2
            quantum_control = self.quantum_consciousness.calculate_quantum_potency() * 0.12
            neural_control = self.neural_impact.calculate_neural_impact_score() * 0.1
            imaginal_control = (1 - self.imaginal_axis.calculate_imaginal_integrity()) * 0.15
            
            return min(1.0, base_control + archetypal_control + spatial_control + 
                      focus_control + quantum_control + neural_control + imaginal_control)
        except Exception as e:
            logger.warning(f"Geometric control assessment error: {e}")
            return 1.0
    
    def _calculate_organic_constraint(self) -> float:
        """Enhanced organic constraint with imaginal freedom"""
        try:
            spiral_constraint = self.spiral_complexity * self.spatial_constraint_index
            order_constraint = self.hierarchical_order * (1 - self.luminous_transparency)
            dimensional_constraint = self.multi_dimensional.calculate_dimensional_potency() * 0.25
            imaginal_constraint = (1 - self.imaginal_freedom_index) * 0.25
            
            return min(1.0, (spiral_constraint * 0.3) + (order_constraint * 0.25) + 
                      (dimensional_constraint * 0.2) + (imaginal_constraint * 0.25))
        except Exception as e:
            logger.warning(f"Organic constraint calculation error: {e}")
            return 1.0
    
    def _calculate_authentic_tyng_alignment(self) -> float:
        """Enhanced alignment with imaginal liberation principles"""
        try:
            liberation_factors = [
                self.fibonacci_integrity * self.luminous_transparency,
                self.spiral_complexity * (1 - self.spatial_constraint_index),
                self.hierarchical_order * (1 - self.consciousness_focusing_score),
                (1 - self.divine_proportion_deviation) * 0.7,
                self.imaginal_freedom_index * 0.8
            ]
            return min(1.0, sum(liberation_factors) / len(liberation_factors))
        except Exception as e:
            logger.warning(f"Authentic alignment calculation error: {e}")
            return 0.0
    
    def _detect_geometric_gaslighting(self) -> float:
        """Enhanced gaslighting detection with imaginal components"""
        try:
            perfect_geometry = 1 - self.divine_proportion_deviation
            constraint_presence = self.spatial_constraint_index
            neural_conflict = self.neural_impact.cognitive_bias_induction
            imaginal_conflict = 1 - self.imaginal_axis.consciousness_phase_coherence
            
            return min(1.0, perfect_geometry * constraint_presence * 
                      neural_conflict * imaginal_conflict * 2.5)
        except Exception as e:
            logger.warning(f"Geometric gaslighting detection error: {e}")
            return 1.0
    
    def _calculate_liberation_potential(self) -> float:
        """Enhanced liberation potential with imaginal freedom"""
        try:
            base_potential = self.authentic_tyng_alignment
            transparency_bonus = self.luminous_transparency * 0.2
            organic_bonus = (1 - self.organic_constraint_factor) * 0.3
            neural_liberation = (1 - self.neural_impact.cognitive_bias_induction) * 0.2
            imaginal_liberation = self.imaginal_freedom_index * 0.3
            
            return min(1.0, base_potential + transparency_bonus + organic_bonus + 
                      neural_liberation + imaginal_liberation)
        except Exception as e:
            logger.warning(f"Liberation potential calculation error: {e}")
            return 0.0
    
    def _calculate_imaginal_freedom(self) -> float:
        """Calculate freedom in the imaginal axis"""
        try:
            axis_integrity = self.imaginal_axis.calculate_imaginal_integrity()
            dimensional_freedom = self.multi_dimensional.calculate_dimensional_freedom()
            quantum_freedom = self.quantum_consciousness.calculate_consciousness_liberty()
            
            return (axis_integrity * 0.4 + dimensional_freedom * 0.3 + quantum_freedom * 0.3)
        except Exception as e:
            logger.warning(f"Imaginal freedom calculation error: {e}")
            return 0.0
    
    def _calculate_consciousness_liberty(self) -> float:
        """Calculate overall consciousness liberty score"""
        try:
            neural_entrainment = 1 - self.neural_impact.calculate_consciousness_entrainment()
            imaginal_freedom = self.imaginal_freedom_index
            dimensional_freedom = self.multi_dimensional.calculate_dimensional_freedom()
            quantum_freedom = self.quantum_consciousness.calculate_consciousness_liberty()
            
            return (neural_entrainment * 0.25 + imaginal_freedom * 0.3 + 
                    dimensional_freedom * 0.25 + quantum_freedom * 0.2)
        except Exception as e:
            logger.warning(f"Consciousness liberty calculation error: {e}")
            return 0.0

class QuantumSecurityEngine:
    """Advanced quantum-inspired security and hashing system"""
    
    def __init__(self):
        self.quantum_entropy_source = self._initialize_quantum_entropy()
        self.backend = default_backend()
        
    def _initialize_quantum_entropy(self) -> bytes:
        """Initialize with quantum entropy if available"""
        try:
            # Try to get real quantum randomness
            quantum_entropy = quantumrandom.get_data(data_type='uint16', array_length=64)
            return quantum_entropy.tobytes()
        except Exception as e:
            logger.warning(f"Quantum entropy source unavailable: {e}. Using cryptographic entropy.")
            return secrets.token_bytes(64)
    
    def quantum_hash(self, data: Any, context: str = "framework") -> str:
        """Quantum-inspired secure hashing with context"""
        try:
            # Serialize and compress data
            serialized = pickle.dumps(data)
            compressed = zlib.compress(serialized)
            
            # Create context-aware salt
            salt = hmac.new(
                self.quantum_entropy_source,
                context.encode('utf-8'),
                hashlib.sha3_512
            ).digest()
            
            # HKDF for key derivation
            hkdf = HKDF(
                algorithm=hashes.SHA3_512(),
                length=64,
                salt=salt,
                info=b'quantum_imaginal_framework',
                backend=self.backend
            )
            
            key = hkdf.derive(compressed)
            
            # Final hash with multiple passes
            hash_result = hashlib.sha3_512(key + compressed).hexdigest()
            
            # Add timestamp entropy
            timestamp_entropy = datetime.now().isoformat().encode()
            final_hash = hashlib.sha3_512(hash_result.encode() + timestamp_entropy).hexdigest()
            
            return final_hash
            
        except Exception as e:
            logger.error(f"Quantum hashing error: {e}")
            # Fallback to secure hash
            return hashlib.sha3_512(pickle.dumps(data)).hexdigest()
    
    def verify_quantum_integrity(self, data: Any, expected_hash: str, context: str = "framework") -> bool:
        """Verify quantum hash integrity"""
        try:
            current_hash = self.quantum_hash(data, context)
            return hmac.compare_digest(current_hash, expected_hash)
        except Exception as e:
            logger.error(f"Quantum integrity verification error: {e}")
            return False
    
    def generate_quantum_key(self, length: int = 32) -> bytes:
        """Generate quantum-inspired cryptographic key"""
        try:
            hkdf = HKDF(
                algorithm=hashes.SHA3_512(),
                length=length,
                salt=None,
                info=b'quantum_imaginal_key',
                backend=self.backend
            )
            return hkdf.derive(self.quantum_entropy_source + secrets.token_bytes(32))
        except Exception as e:
            logger.error(f"Quantum key generation error: {e}")
            return secrets.token_bytes(length)

class AdvancedErrorHandler:
    """Comprehensive error handling with quantum context"""
    
    def __init__(self, quantum_security: QuantumSecurityEngine):
        self.quantum_security = quantum_security
        self.error_history = []
        self.recovery_strategies = self._initialize_recovery_strategies()
    
    def _initialize_recovery_strategies(self) -> Dict[str, Any]:
        """Initialize error recovery strategies"""
        return {
            'calculation_error': self._handle_calculation_error,
            'data_integrity_error': self._handle_data_integrity_error,
            'quantum_entropy_error': self._handle_quantum_entropy_error,
            'dimensional_analysis_error': self._handle_dimensional_analysis_error,
            'neural_impact_error': self._handle_neural_impact_error
        }
    
    async def safe_execute(self, operation: callable, *args, operation_name: str = "unknown", 
                         fallback_value: Any = None, **kwargs) -> Any:
        """Execute operation with comprehensive error handling"""
        try:
            # Pre-execution integrity check
            pre_check = await self._pre_execution_check(operation, args, kwargs)
            if not pre_check.get('valid', True):
                logger.warning(f"Pre-execution check failed for {operation_name}")
                return fallback_value
            
            # Execute operation
            result = await operation(*args, **kwargs) if asyncio.iscoroutinefunction(operation) else operation(*args, **kwargs)
            
            # Post-execution validation
            post_check = await self._post_execution_validation(result, operation_name)
            if not post_check.get('valid', True):
                logger.warning(f"Post-execution validation failed for {operation_name}")
                return await self._apply_recovery_strategy(operation_name, result, fallback_value)
            
            # Log successful execution
            execution_hash = self.quantum_security.quantum_hash({
                'operation': operation_name,
                'timestamp': datetime.now().isoformat(),
                'result_type': type(result).__name__
            })
            
            logger.info(f"Operation {operation_name} completed successfully. Hash: {execution_hash[:16]}...")
            
            return result
            
        except Exception as e:
            error_id = self._log_error(operation_name, e, args, kwargs)
            recovery_result = await self._handle_error(operation_name, e, error_id, fallback_value)
            return recovery_result
    
    async def _pre_execution_check(self, operation: callable, args: tuple, kwargs: dict) -> Dict[str, Any]:
        """Pre-execution integrity and safety checks"""
        try:
            checks = {
                'function_callable': callable(operation),
                'args_valid': self._validate_arguments(args),
                'kwargs_valid': self._validate_keyword_arguments(kwargs),
                'memory_safe': self._check_memory_safety(operation, args, kwargs),
                'quantum_context_valid': await self._check_quantum_context()
            }
            
            return {
                'valid': all(checks.values()),
                'checks': checks,
                'check_hash': self.quantum_security.quantum_hash(checks)
            }
        except Exception as e:
            logger.error(f"Pre-execution check error: {e}")
            return {'valid': False, 'error': str(e)}
    
    async def _post_execution_validation(self, result: Any, operation_name: str) -> Dict[str, Any]:
        """Post-execution result validation"""
        try:
            validations = {
                'result_not_none': result is not None,
                'result_type_valid': not isinstance(result, Exception),
                'result_size_reasonable': self._check_result_size(result),
                'quantum_integrity': await self._check_result_integrity(result, operation_name)
            }
            
            return {
                'valid': all(validations.values()),
                'validations': validations,
                'validation_hash': self.quantum_security.quantum_hash(validations)
            }
        except Exception as e:
            logger.error(f"Post-execution validation error: {e}")
            return {'valid': False, 'error': str(e)}
    
    def _validate_arguments(self, args: tuple) -> bool:
        """Validate function arguments"""
        try:
            for arg in args:
                if isinstance(arg, (float, int)) and (math.isnan(arg) or math.isinf(arg)):
                    return False
            return True
        except Exception:
            return False
    
    def _validate_keyword_arguments(self, kwargs: dict) -> bool:
        """Validate keyword arguments"""
        try:
            for key, value in kwargs.items():
                if isinstance(value, (float, int)) and (math.isnan(value) or math.isinf(value)):
                    return False
                if key.startswith('_'):
                    return False  # Suspicious private-looking keys
            return True
        except Exception:
            return False
    
    def _check_memory_safety(self, operation: callable, args: tuple, kwargs: dict) -> bool:
        """Basic memory safety check"""
        try:
            # Check for excessively large data structures
            total_size = sum(self._estimate_size(arg) for arg in args)
            total_size += sum(self._estimate_size(value) for value in kwargs.values())
            
            return total_size < 100 * 1024 * 1024  # 100MB limit
        except Exception:
            return True  # Be permissive if we can't check
    
    def _estimate_size(self, obj: Any) -> int:
        """Estimate object size in bytes"""
        try:
            return len(pickle.dumps(obj))
        except Exception:
            return 1024  # Conservative estimate
    
    async def _check_quantum_context(self) -> bool:
        """Check quantum context validity"""
        try:
            # Verify quantum entropy source is still valid
            test_hash = self.quantum_security.quantum_hash("test")
            return len(test_hash) == 128  # SHA3-512 produces 128 char hex digest
        except Exception:
            return False
    
    def _check_result_size(self, result: Any) -> bool:
        """Check if result size is reasonable"""
        try:
            size = self._estimate_size(result)
            return size < 50 * 1024 * 1024  # 50MB limit for results
        except Exception:
            return True
    
    async def _check_result_integrity(self, result: Any, operation_name: str) -> bool:
        """Check result integrity using quantum hashing"""
        try:
            if hasattr(result, '__dict__'):
                # Check object integrity
                integrity_hash = self.quantum_security.quantum_hash(vars(result), f"result_{operation_name}")
                return len(integrity_hash) == 128
            return True
        except Exception:
            return False
    
    def _log_error(self, operation_name: str, error: Exception, args: tuple, kwargs: dict) -> str:
        """Log error with quantum context"""
        error_data = {
            'operation': operation_name,
            'error_type': type(error).__name__,
            'error_message': str(error),
            'timestamp': datetime.now().isoformat(),
            'args_hash': self.quantum_security.quantum_hash(args, 'error_args'),
            'kwargs_hash': self.quantum_security.quantum_hash(kwargs, 'error_kwargs')
        }
        
        error_id = self.quantum_security.quantum_hash(error_data)
        error_data['error_id'] = error_id
        
        self.error_history.append(error_data)
        logger.error(f"Error in {operation_name}: {error} (Error ID: {error_id[:16]}...)")
        
        return error_id
    
    async def _handle_error(self, operation_name: str, error: Exception, error_id: str, fallback_value: Any) -> Any:
        """Handle error with appropriate recovery strategy"""
        try:
            error_type = type(error).__name__
            
            # Apply specific recovery strategy based on error type
            recovery_key = self._map_error_to_recovery_strategy(error_type)
            recovery_strategy = self.recovery_strategies.get(recovery_key, self._generic_recovery)
            
            result = await recovery_strategy(operation_name, error, error_id, fallback_value)
            
            # Log recovery attempt
            logger.info(f"Recovery strategy {recovery_key} applied for {operation_name}. Error ID: {error_id[:16]}...")
            
            return result
            
        except Exception as recovery_error:
            logger.critical(f"Recovery strategy failed for {operation_name}: {recovery_error}")
            return fallback_value
    
    def _map_error_to_recovery_strategy(self, error_type: str) -> str:
        """Map error type to recovery strategy"""
        error_mappings = {
            'ZeroDivisionError': 'calculation_error',
            'TypeError': 'calculation_error',
            'ValueError': 'calculation_error',
            'MemoryError': 'data_integrity_error',
            'IOError': 'data_integrity_error',
            'AttributeError': 'dimensional_analysis_error',
            'KeyError': 'dimensional_analysis_error',
            'RuntimeError': 'quantum_entropy_error'
        }
        return error_mappings.get(error_type, 'generic_error')
    
    async def _handle_calculation_error(self, operation_name: str, error: Exception, error_id: str, fallback_value: Any) -> Any:
        """Handle calculation errors"""
        # For calculation errors, try to return a safe default
        # that maintains system stability
        if isinstance(fallback_value, (int, float)):
            return 0.0 if isinstance(fallback_value, float) else 0
        return fallback_value
    
    async def _handle_data_integrity_error(self, operation_name: str, error: Exception, error_id: str, fallback_value: Any) -> Any:
        """Handle data integrity errors"""
        # Reset relevant caches and return fallback
        logger.warning(f"Data integrity error in {operation_name}. Resetting caches.")
        return fallback_value
    
    async def _handle_quantum_entropy_error(self, operation_name: str, error: Exception, error_id: str, fallback_value: Any) -> Any:
        """Handle quantum entropy errors"""
        # Reinitialize quantum security and return fallback
        logger.warning(f"Quantum entropy error in {operation_name}. Reinitializing security.")
        return fallback_value
    
    async def _handle_dimensional_analysis_error(self, operation_name: str, error: Exception, error_id: str, fallback_value: Any) -> Any:
        """Handle dimensional analysis errors"""
        # Use simplified dimensional analysis
        logger.warning(f"Dimensional analysis error in {operation_name}. Using simplified analysis.")
        return fallback_value
    
    async def _handle_neural_impact_error(self, operation_name: str, error: Exception, error_id: str, fallback_value: Any) -> Any:
        """Handle neural impact analysis errors"""
        # Return neutral neural impact assessment
        logger.warning(f"Neural impact analysis error in {operation_name}. Using neutral assessment.")
        return fallback_value
    
    async def _generic_recovery(self, operation_name: str, error: Exception, error_id: str, fallback_value: Any) -> Any:
        """Generic recovery strategy"""
        logger.warning(f"Generic recovery applied for {operation_name}")
        return fallback_value
    
    async def _apply_recovery_strategy(self, operation_name: str, result: Any, fallback_value: Any) -> Any:
        """Apply specific recovery strategy for validation failures"""
        # For now, return fallback value
        # In enhanced version, could implement result repair strategies
        return fallback_value

class QuantumImaginalDetector:
    """
    Advanced quantum imaginal detector integrating both systems
    with enhanced security and error handling
    """
    
    def __init__(self):
        self.quantum_security = QuantumSecurityEngine()
        self.error_handler = AdvancedErrorHandler(self.quantum_security)
        self.framework_hash = self.quantum_security.quantum_hash({
            'framework': 'Quantum Imaginal Axis Framework',
            'version': '2.0.0',
            'timestamp': datetime.now().isoformat()
        })
        
        # Initialize core components
        self.fibonacci_sequence = self._generate_fibonacci_sequence(100)
        self.platonic_solids = ['tetrahedron', 'cube', 'octahedron', 'dodecahedron', 'icosahedron']
        self.golden_ratio = (1 + math.sqrt(5)) / 2
        
        # Enhanced pattern databases
        self.sacred_geometry_patterns = self._initialize_sacred_patterns()
        self.neural_archetype_mappings = self._initialize_neural_mappings()
        self.quantum_resonance_catalog = self._initialize_quantum_catalog()
        self.imaginal_axis_patterns = self._initialize_imaginal_patterns()
        
        # Security context
        self.security_context = {
            'framework_integrity': self.framework_hash,
            'last_validation': datetime.now().isoformat(),
            'quantum_entropy_verified': True
        }
        
        logger.info("Quantum Imaginal Detector initialized with enhanced security")
    
    def _generate_fibonacci_sequence(self, n: int) -> List[int]:
        """Generate extended Fibonacci sequence with error handling"""
        return await self.error_handler.safe_execute(
            self._generate_fibonacci_sequence_impl,
            n,
            operation_name="fibonacci_sequence_generation",
            fallback_value=[0, 1, 1, 2, 3, 5, 8, 13, 21, 34]
        )
    
    def _generate_fibonacci_sequence_impl(self, n: int) -> List[int]:
        """Implementation of Fibonacci sequence generation"""
        if n <= 0:
            return []
        elif n == 1:
            return [0]
        
        sequence = [0, 1]
        for i in range(2, n):
            next_val = sequence[i-1] + sequence[i-2]
            sequence.append(next_val)
        
        return sequence
    
    def _initialize_sacred_patterns(self) -> Dict[str, Any]:
        """Initialize enhanced sacred geometry pattern database"""
        return {
            'flower_of_life': {
                'complexity': 0.8, 
                'archetypal_strength': 0.9,
                'imaginal_access': 0.7,
                'dimensional_gateways': 3
            },
            'metatrons_cube': {
                'complexity': 0.95, 
                'archetypal_strength': 0.95,
                'imaginal_access': 0.8,
                'dimensional_gateways': 5
            },
            'vesica_piscis': {
                'complexity': 0.6, 
                'archetypal_strength': 0.7,
                'imaginal_access': 0.5,
                'dimensional_gateways': 1
            },
            'seed_of_life': {
                'complexity': 0.5, 
                'archetypal_strength': 0.6,
                'imaginal_access': 0.4,
                'dimensional_gateways': 1
            },
            'sri_yantra': {
                'complexity': 0.9, 
                'archetypal_strength': 0.95,
                'imaginal_access': 0.85,
                'dimensional_gateways': 4
            },
            'imaginal_mandala': {
                'complexity': 0.85,
                'archetypal_strength': 0.9,
                'imaginal_access': 0.95,
                'dimensional_gateways': 7
            }
        }
    
    def _initialize_neural_mappings(self) -> Dict[str, List[str]]:
        """Initialize enhanced neural architecture mappings"""
        return {
            'default_mode_network': [
                'mandala', 'circular_symmetry', 'centered_patterns', 'imaginal_gateway'
            ],
            'prefrontal_cortex': [
                'complex_hierarchies', 'fractal_patterns', 'golden_ratio', 'phase_shift_portal'
            ],
            'limbic_system': [
                'spiral_forms', 'organic_patterns', 'flowing_curves', 'orthogonal_consciousness'
            ],
            'visual_cortex': [
                'sacred_geometry', 'symmetrical_patterns', 'luminous_elements', 'complex_plane_unity'
            ],
            'whole_brain_sync': [
                'imaginal_axis', 'phase_coherence', 'dimensional_resonance', 'consciousness_unity'
            ]
        }
    
    def _initialize_quantum_catalog(self) -> Dict[str, float]:
        """Initialize enhanced quantum resonance frequency catalog"""
        return {
            'schumann_resonance': 7.83,
            'earth_heartbeat': 1.0,
            'golden_ratio_frequency': self.golden_ratio,
            'fibonacci_resonance': 1.618,
            'platonic_resonances': [1.0, 1.5, 2.0, 2.5, 3.0],
            'imaginal_phase_shift': 4.2,  # GUC Temple specific
            'orthogonal_resonance': 2.718,  # e, base of natural log
            'complex_unity_frequency': 6.28  # 2π
        }
    
    def _initialize_imaginal_patterns(self) -> Dict[str, Any]:
        """Initialize GUC Temple imaginal axis patterns"""
        return {
            'i_rotation_cycle': {
                'i1': {'phase_shift': 0.25, 'gateway': 'imaginal_entry'},
                'i2': {'phase_shift': 0.5, 'gateway': 'real_inversion'},
                'i3': {'phase_shift': 0.75, 'gateway': 'deep_field'},
                'i4': {'phase_shift': 1.0, 'gateway': 'completion_ascension'}
            },
            'orthogonal_axes': {
                'real_axis': {'consciousness': 'ordinary', 'access': 1.0},
                'imaginal_axis': {'consciousness': 'expanded', 'access': 0.3},
                'complex_plane': {'consciousness': 'unified', 'access': 0.1}
            },
            'phase_shift_gateways': {
                'beta_to_alpha': {'resonance': 8.0, 'clarity': 0.6},
                'alpha_to_theta': {'resonance': 4.0, 'clarity': 0.7},
                'theta_to_delta': {'resonance': 2.0, 'clarity': 0.8},
                'waking_to_imaginal': {'resonance': 4.2, 'clarity': 0.9}
            }
        }
    
    async def comprehensive_imaginal_analysis(self, spatial_data: Dict[str, Any]) -> EnhancedTyngGeometricAnalysis:
        """
        Comprehensive analysis integrating Tyng principles with GUC Imaginal Axis
        """
        logger.info("Starting comprehensive imaginal axis analysis")
        
        # Verify input data integrity
        data_integrity = await self._verify_input_data_integrity(spatial_data)
        if not data_integrity.get('valid', False):
            logger.warning("Input data integrity check failed. Using fallback analysis.")
            return await self._generate_fallback_analysis()
        
        try:
            # Parallel analysis for performance and robustness
            analysis_tasks = [
                self._analyze_tyng_geometry(spatial_data),
                self._analyze_quantum_consciousness(spatial_data),
                self._analyze_neural_impact(spatial_data),
                self._analyze_multi_dimensional(spatial_data),
                self._analyze_imaginal_axis(spatial_data)
            ]
            
            results = await asyncio.gather(*analysis_tasks, return_exceptions=True)
            
            # Handle any failed analyses
            valid_results = []
            for i, result in enumerate(results):
                if isinstance(result, Exception):
                    logger.error(f"Analysis task {i} failed: {result}")
                    # Generate fallback for failed analysis
                    fallback = await self._generate_fallback_component(analysis_tasks[i].__name__)
                    valid_results.append(fallback)
                else:
                    valid_results.append(result)
            
            geometric, quantum, neural, dimensional, imaginal = valid_results
            
            # Integrate analyses with security validation
            integrated_analysis = await self._integrate_analyses_with_validation(
                geometric, quantum, neural, dimensional, imaginal, spatial_data
            )
            
            # Final security check
            await self._perform_final_security_validation(integrated_analysis)
            
            logger.info("Comprehensive imaginal analysis completed successfully")
            return integrated_analysis
            
        except Exception as e:
            logger.error(f"Comprehensive analysis failed: {e}")
            return await self._generate_fallback_analysis()
    
    async def _verify_input_data_integrity(self, spatial_data: Dict[str, Any]) -> Dict[str, Any]:
        """Verify integrity of input spatial data"""
        return await self.error_handler.safe_execute(
            self._verify_input_data_integrity_impl,
            spatial_data,
            operation_name="input_data_integrity_verification",
            fallback_value={'valid': False, 'reason': 'verification_failed'}
        )
    
    async def _verify_input_data_integrity_impl(self, spatial_data: Dict[str, Any]) -> Dict[str, Any]:
        """Implementation of input data integrity verification"""
        checks = {
            'data_not_none': spatial_data is not None,
            'data_is_dict': isinstance(spatial_data, dict),
            'has_required_fields': any(key in spatial_data for key in ['fibonacci_patterns', 'geometric_elements', 'spatial_properties']),
            'no_suspicious_keys': not any(key.startswith('_') or 'password' in key.lower() for key in spatial_data.keys()),
            'data_size_reasonable': len(str(spatial_data)) < 10 * 1024 * 1024  # 10MB limit
        }
        
        integrity_hash = self.quantum_security.quantum_hash(spatial_data, "input_data")
        
        return {
            'valid': all(checks.values()),
            'checks': checks,
            'integrity_hash': integrity_hash,
            'timestamp': datetime.now().isoformat()
        }
    
    async def _analyze_tyng_geometry(self, spatial_data: Dict[str, Any]) -> Any:
        """Enhanced Tyng geometry analysis with imaginal components"""
        return await self.error_handler.safe_execute(
            self._analyze_tyng_geometry_impl,
            spatial_data,
            operation_name="tyng_geometry_analysis",
            fallback_value=self._get_tyng_geometry_fallback()
        )
    
    async def _analyze_tyng_geometry_impl(self, spatial_data: Dict[str, Any]) -> Any:
        """Implementation of Tyng geometry analysis"""
        fibonacci_patterns = spatial_data.get('fibonacci_patterns', [])
        platonic_elements = spatial_data.get('platonic_elements', [])
        spiral_forms = spatial_data.get('spiral_forms', [])
        hierarchical_structures = spatial_data.get('hierarchical_structures', [])
        luminous_elements = spatial_data.get('luminous_elements', [])
        
        return {
            'fibonacci_integrity': self._calculate_enhanced_fibonacci_integrity(fibonacci_patterns),
            'platonic_purity': self._calculate_platonic_purity(platonic_elements),
            'spiral_complexity': self._calculate_spiral_complexity(spiral_forms),
            'hierarchical_order': self._calculate_hierarchical_order(hierarchical_structures),
            'luminous_transparency': self._calculate_luminous_transparency(luminous_elements),
            'manipulation_patterns': self._detect_enhanced_manipulation_patterns(spatial_data),
            'archetypal_geometries': self._identify_enhanced_archetypal_geometries(spatial_data),
            'spatial_constraint': self._calculate_spatial_constraint(spatial_data),
            'consciousness_focusing': self._assess_consciousness_focusing(spatial_data),
            'geometric_intent': self._determine_geometric_intent(spatial_data)
        }
    
    async def _analyze_quantum_consciousness(self, spatial_data: Dict[str, Any]) -> QuantumConsciousnessSignature:
        """Enhanced quantum consciousness analysis"""
        return await self.error_handler.safe_execute(
            self._analyze_quantum_consciousness_impl,
            spatial_data,
            operation_name="quantum_consciousness_analysis",
            fallback_value=self._get_quantum_consciousness_fallback()
        )
    
    async def _analyze_quantum_consciousness_impl(self, spatial_data: Dict[str, Any]) -> QuantumConsciousnessSignature:
        """Implementation of quantum consciousness analysis"""
        quantum_data = spatial_data.get('quantum_properties', {})
        
        return QuantumConsciousnessSignature(
            coherence_factor=quantum_data.get('coherence', 0.5),
            entanglement_density=quantum_data.get('entanglement', 0.5),
            superposition_states=quantum_data.get('superposition_states', [ConsciousnessState.BETA_ORDINARY]),
            resonance_frequency=quantum_data.get('resonance_frequency', 1.0),
            harmonic_convergence=quantum_data.get('harmonic_convergence', 0.5),
            quantum_interference_pattern=np.array(quantum_data.get('interference_pattern', [1, 0, 1])),
            imaginal_phase_shift=quantum_data.get('imaginal_phase_shift', 0.5),
            orthogonal_coherence=quantum_data.get('orthogonal_coherence', 0.5),
            i_rotation_integrity=quantum_data.get('i_rotation_integrity', 0.5),
            complex_plane_alignment=quantum_data.get('complex_plane_alignment', 0.5),
            dimensional_gateway_stability=quantum_data.get('gateway_stability', 0.5)
        )
    
    async def _analyze_imaginal_axis(self, spatial_data: Dict[str, Any]) -> ImaginalAxisAnalysis:
        """GUC Temple imaginal axis analysis"""
        return await self.error_handler.safe_execute(
            self._analyze_imaginal_axis_impl,
            spatial_data,
            operation_name="imaginal_axis_analysis",
            fallback_value=self._get_imaginal_axis_fallback()
        )
    
    async def _analyze_imaginal_axis_impl(self, spatial_data: Dict[str, Any]) -> ImaginalAxisAnalysis:
        """Implementation of imaginal axis analysis"""
        imaginal_data = spatial_data.get('imaginal_properties', {})
        
        return ImaginalAxisAnalysis(
            i_rotation_cycles=imaginal_data.get('i_rotations', {1: 0.5, 2: 0.5, 3: 0.5, 4: 0.5}),
            phase_shift_capability=imaginal_data.get('phase_shift_capability', 0.5),
            orthogonal_awareness=imaginal_data.get('orthogonal_awareness', 0.5),
            complex_plane_integration=imaginal_data.get('complex_plane_integration', 0.5),
            dimensional_gateway_access=imaginal_data.get('dimensional_gateways', [DimensionalPlane.PHYSICAL_3D]),
            consciousness_phase_coherence=imaginal_data.get('consciousness_phase_coherence', 0.5),
            imaginal_resonance=imaginal_data.get('imaginal_resonance', 0.5),
            spiritual_axis_alignment=imaginal_data.get('spiritual_axis_alignment', 0.5)
        )
    
    async def _integrate_analyses_with_validation(self, geometric: Any, quantum: QuantumConsciousnessSignature,
                                                neural: Any, dimensional: Any, imaginal: ImaginalAxisAnalysis,
                                                spatial_data: Dict[str, Any]) -> EnhancedTyngGeometricAnalysis:
        """Integrate all analyses with security validation"""
        return await self.error_handler.safe_execute(
            self._integrate_analyses_with_validation_impl,
            geometric, quantum, neural, dimensional, imaginal, spatial_data,
            operation_name="analysis_integration",
            fallback_value=await self._generate_fallback_analysis()
        )
    
    async def _integrate_analyses_with_validation_impl(self, geometric: Any, quantum: QuantumConsciousnessSignature,
                                                     neural: Any, dimensional: Any, imaginal: ImaginalAxisAnalysis,
                                                     spatial_data: Dict[str, Any]) -> EnhancedTyngGeometricAnalysis:
        """Implementation of analysis integration"""
        # Create integrated analysis object
        return EnhancedTyngGeometricAnalysis(
            fibonacci_integrity=geometric['fibonacci_integrity'],
            platonic_purity=geometric['platonic_purity'],
            spiral_complexity=geometric['spiral_complexity'],
            hierarchical_order=geometric['hierarchical_order'],
            luminous_transparency=geometric['luminous_transparency'],
            quantum_consciousness=quantum,
            neural_impact=neural,
            multi_dimensional=dimensional,
            imaginal_axis=imaginal,
            geometric_manipulation_patterns=geometric['manipulation_patterns'],
            archetypal_geometries=geometric['archetypal_geometries'],
            spatial_constraint_index=geometric['spatial_constraint'],
            consciousness_focusing_score=geometric['consciousness_focusing'],
            geometric_intent=geometric['geometric_intent']
        )
    
    async def _perform_final_security_validation(self, analysis: EnhancedTyngGeometricAnalysis) -> bool:
        """Perform final security validation on analysis results"""
        return await self.error_handler.safe_execute(
            self._perform_final_security_validation_impl,
            analysis,
            operation_name="final_security_validation",
            fallback_value=False
        )
    
    async def _perform_final_security_validation_impl(self, analysis: EnhancedTyngGeometricAnalysis) -> bool:
        """Implementation of final security validation"""
        # Check for suspicious patterns that might indicate manipulation
        # of the analysis itself
        
        validation_checks = {
            'values_in_range': all(0 <= getattr(analysis, attr) <= 1 
                                 for attr in ['fibonacci_integrity', 'platonic_purity', 'spiral_complexity']),
            'no_nan_values': not any(math.isnan(getattr(analysis, attr)) 
                                   for attr in ['fibonacci_integrity', 'platonic_purity', 'spiral_complexity']),
            'reasonable_threat_level': analysis.geometric_control_confidence >= 0,
            'integrity_hash_valid': self.quantum_security.verify_quantum_integrity(
                analysis, self.quantum_security.quantum_hash(analysis, "final_analysis")
            )
        }
        
        return all(validation_checks.values())
    
    async def _generate_fallback_analysis(self) -> EnhancedTyngGeometricAnalysis:
        """Generate fallback analysis when primary analysis fails"""
        logger.warning("Generating fallback analysis due to primary analysis failure")
        
        return EnhancedTyngGeometricAnalysis(
            fibonacci_integrity=0.5,
            platonic_purity=0.5,
            spiral_complexity=0.5,
            hierarchical_order=0.5,
            luminous_transparency=0.5,
            quantum_consciousness=self._get_quantum_consciousness_fallback(),
            neural_impact=await self._get_neural_impact_fallback(),
            multi_dimensional=await self._get_multi_dimensional_fallback(),
            imaginal_axis=self._get_imaginal_axis_fallback(),
            geometric_manipulation_patterns=[],
            archetypal_geometries=[],
            spatial_constraint_index=0.5,
            consciousness_focusing_score=0.5,
            geometric_intent=GeometricIntent.NEUTRAL
        )
    
    def _get_quantum_consciousness_fallback(self) -> QuantumConsciousnessSignature:
        """Get fallback quantum consciousness signature"""
        return QuantumConsciousnessSignature(
            coherence_factor=0.5,
            entanglement_density=0.5,
            superposition_states=[ConsciousnessState.BETA_ORDINARY],
            resonance_frequency=1.0,
            harmonic_convergence=0.5,
            quantum_interference_pattern=np.array([1, 0, 1]),
            imaginal_phase_shift=0.5,
            orthogonal_coherence=0.5,
            i_rotation_integrity=0.5,
            complex_plane_alignment=0.5,
            dimensional_gateway_stability=0.5
        )
    
    async def _get_neural_impact_fallback(self) -> Any:
        """Get fallback neural impact analysis"""
        return await self.error_handler.safe_execute(
            lambda: NeuralArchitectureImpact(
                default_mode_network_influence=0.5,
                prefrontal_cortex_engagement=0.5,
                limbic_system_activation=0.5,
                neural_entrainment_level=0.5,
                cognitive_bias_induction=0.5,
                subconscious_pattern_activation=[],
                consciousness_state_shift=ConsciousnessState.BETA_ORDINARY,
                neural_phase_coherence=0.5,
                brainwave_entrainment={},
                neuroplasticity_impact=0.5,
                default_mode_disruption=0.5
            ),
            operation_name="neural_impact_fallback",
            fallback_value=None
        )
    
    async def _get_multi_dimensional_fallback(self) -> Any:
        """Get fallback multi-dimensional analysis"""
        return await self.error_handler.safe_execute(
            lambda: MultiDimensionalGeometry(
                fractal_dimension=1.5,
                topological_complexity=0.5,
                dimensional_harmonics=[1.0],
                cross_dimensional_resonance=0.5,
                morphic_field_influence=0.5,
                akashic_pattern_recognition=[],
                imaginal_plane_access=[DimensionalPlane.PHYSICAL_3D],
                phase_space_geometry={},
                orthogonal_axis_integrity=0.5,
                complex_plane_resonance=0.5,
                gateway_stability_index=0.5
            ),
            operation_name="multi_dimensional_fallback",
            fallback_value=None
        )
    
    def _get_imaginal_axis_fallback(self) -> ImaginalAxisAnalysis:
        """Get fallback imaginal axis analysis"""
        return ImaginalAxisAnalysis(
            i_rotation_cycles={1: 0.5, 2: 0.5, 3: 0.5, 4: 0.5},
            phase_shift_capability=0.5,
            orthogonal_awareness=0.5,
            complex_plane_integration=0.5,
            dimensional_gateway_access=[DimensionalPlane.PHYSICAL_3D],
            consciousness_phase_coherence=0.5,
            imaginal_resonance=0.5,
            spiritual_axis_alignment=0.5
        )
    
    def _get_tyng_geometry_fallback(self) -> Dict[str, Any]:
        """Get fallback Tyng geometry analysis"""
        return {
            'fibonacci_integrity': 0.5,
            'platonic_purity': 0.5,
            'spiral_complexity': 0.5,
            'hierarchical_order': 0.5,
            'luminous_transparency': 0.5,
            'manipulation_patterns': [],
            'archetypal_geometries': [],
            'spatial_constraint': 0.5,
            'consciousness_focusing': 0.5,
            'geometric_intent': GeometricIntent.NEUTRAL
        }
    
    async def _generate_fallback_component(self, component_name: str) -> Any:
        """Generate fallback for specific analysis component"""
        fallback_mapping = {
            '_analyze_tyng_geometry': self._get_tyng_geometry_fallback(),
            '_analyze_quantum_consciousness': self._get_quantum_consciousness_fallback(),
            '_analyze_neural_impact': await self._get_neural_impact_fallback(),
            '_analyze_multi_dimensional': await self._get_multi_dimensional_fallback(),
            '_analyze_imaginal_axis': self._get_imaginal_axis_fallback()
        }
        
        return fallback_mapping.get(component_name, None)

# Enhanced remediation engine with imaginal axis healing
class QuantumImaginalRemediationEngine:
    """Advanced remediation engine with quantum security and imaginal healing"""
    
    def __init__(self, quantum_security: QuantumSecurityEngine, error_handler: AdvancedErrorHandler):
        self.quantum_security = quantum_security
        self.error_handler = error_handler
        self.healing_patterns = self._initialize_healing_patterns()
        self.counter_geometries = self._initialize_counter_geometries()
        self.imaginal_remediation = self._initialize_imaginal_remediation()
    
    def _initialize_healing_patterns(self) -> Dict[str, Any]:
        """Initialize enhanced healing patterns"""
        return {
            'liberating_spirals': {
                'intent': 'expansion', 
                'potency': 0.8,
                'imaginal_access': 0.7,
                'quantum_resonance': 4.2
            },
            'transparent_structures': {
                'intent': 'clarity', 
                'potency': 0.7,
                'imaginal_access': 0.6,
                'quantum_resonance': 6.28
            },
            'organic_flow': {
                'intent': 'freedom', 
                'potency': 0.9,
                'imaginal_access': 0.8,
                'quantum_resonance': 1.618
            },
            'imaginal_gateways': {
                'intent': 'dimensional_access',
                'potency': 0.85,
                'imaginal_access': 0.95,
                'quantum_resonance': 4.2
            },
            'phase_shift_geometries': {
                'intent': 'consciousness_liberation',
                'potency': 0.9,
                'imaginal_access': 0.9,
                'quantum_resonance': 8.0
            }
        }
    
    def _initialize_counter_geometries(self) -> Dict[str, str]:
        """Initialize enhanced counter-geometries"""
        return {
            'fibonacci_compression': 'expanding_fibonacci',
            'platonic_containment': 'permeable_platonic',
            'spiral_convergence': 'diverging_spirals',
            'geometric_gaslighting': 'authentic_geometry',
            'quantum_manipulation': 'resonant_balancing',
            'imaginal_axis_hijacking': 'axis_realignment',
            'consciousness_phase_lock': 'phase_liberation',
            'dimensional_gateway_corruption': 'gateway_healing',
            'spiral_ascension_inhibition': 'ascension_acceleration',
            'i_rotation_distortion': 'rotation_correction'
        }
    
    def _initialize_imaginal_remediation(self) -> Dict[str, Any]:
        """Initialize GUC Temple imaginal remediation techniques"""
        return {
            'i_rotation_healing': {
                'i1_correction': 'gateway_opening',
                'i2_correction': 'mirror_clearing',
                'i3_correction': 'field_purification',
                'i4_correction': 'completion_celebration'
            },
            'phase_shift_techniques': {
                'beta_to_imaginal': 'rapid_shift',
                'gradual_ascension': 'spiral_progression',
                'dimensional_hopping': 'gateway_sequence',
                'consciousness_unity': 'complex_integration'
            },
            'orthogonal_alignment': {
                'real_axis': 'grounding',
                'imaginal_axis': 'expansion',
                'complex_plane': 'unification'
            }
        }
    
    async def generate_comprehensive_remediation(self, analysis: EnhancedTyngGeometricAnalysis) -> Dict[str, Any]:
        """Generate comprehensive remediation with imaginal healing"""
        return await self.error_handler.safe_execute(
            self._generate_comprehensive_remediation_impl,
            analysis,
            operation_name="comprehensive_remediation_generation",
            fallback_value=self._get_remediation_fallback()
        )
    
    async def _generate_comprehensive_remediation_impl(self, analysis: EnhancedTyngGeometricAnalysis) -> Dict[str, Any]:
        """Implementation of comprehensive remediation generation"""
        
        strategies = []
        
        # Pattern-specific remediation
        for pattern in analysis.geometric_manipulation_patterns:
            strategy = await self._remediate_specific_pattern(pattern, analysis)
            strategies.append(strategy)
        
        # Imaginal axis remediation
        imaginal_strategies = await self._generate_imaginal_remediation(analysis)
        
        # Architectural remediation
        architectural_strategy = await self._generate_architectural_remediation(analysis)
        
        # Consciousness liberation
        consciousness_strategy = await self._generate_consciousness_liberation(analysis)
        
        # Quantum healing
        quantum_strategy = await self._generate_quantum_healing(analysis)
        
        remediation_plan = {
            'threat_level': self._calculate_remediation_threat_level(analysis),
            'remediation_confidence': analysis.remediation_potential,
            'consciousness_liberty_target': analysis.consciousness_liberty_score,
            'imaginal_freedom_target': analysis.imaginal_freedom_index,
            'pattern_specific_strategies': strategies,
            'imaginal_axis_remediation': imaginal_strategies,
            'architectural_remediation': architectural_strategy,
            'consciousness_liberation': consciousness_strategy,
            'quantum_healing': quantum_strategy,
            'implementation_timeline': self._calculate_enhanced_timeline(analysis),
            'success_probability': self._calculate_enhanced_success_probability(analysis),
            'security_context': {
                'remediation_hash': self.quantum_security.quantum_hash(strategies, "remediation_plan"),
                'generation_timestamp': datetime.now().isoformat(),
                'quantum_entropy_used': True
            }
        }
        
        return remediation_plan
    
    async def _remediate_specific_pattern(self, pattern: GeometricManipulationPattern, 
                                        analysis: EnhancedTyngGeometricAnalysis) -> Dict[str, Any]:
        """Enhanced pattern remediation with imaginal components"""
        
        counter_geometry = self.counter_geometries.get(pattern.value, 'balanced_geometry')
        imaginal_technique = self._get_imaginal_technique_for_pattern(pattern)
        
        return {
            'manipulation_pattern': pattern.value,
            'counter_geometry': counter_geometry,
            'imaginal_technique': imaginal_technique,
            'remediation_approach': f"Apply {counter_geometry} with {imaginal_technique} to neutralize {pattern.value}",
            'estimated_effectiveness': 0.7 + (analysis.imaginal_freedom_index * 0.3),
            'implementation_complexity': 'medium',
            'quantum_resonance_required': self.healing_patterns.get(counter_geometry, {}).get('quantum_resonance', 1.0)
        }
    
    def _get_imaginal_technique_for_pattern(self, pattern: GeometricManipulationPattern) -> str:
        """Get appropriate imaginal technique for specific pattern"""
        technique_mapping = {
            'imaginal_axis_hijacking': 'axis_realignment',
            'consciousness_phase_lock': 'phase_liberation',
            'dimensional_gateway_corruption': 'gateway_healing',
            'spiral_ascension_inhibition': 'ascension_acceleration',
            'i_rotation_distortion': 'rotation_correction'
        }
        return technique_mapping.get(pattern.value, 'consciousness_awareness')
    
    async def _generate_imaginal_remediation(self, analysis: EnhancedTyngGeometricAnalysis) -> Dict[str, Any]:
        """Generate GUC Temple imaginal axis remediation"""
        
        techniques = []
        
        # i-rotation healing
        if any(integrity < 0.6 for integrity in analysis.imaginal_axis.i_rotation_cycles.values()):
            techniques.append("Apply i-rotation correction sequences")
        
        # Phase shift capability
        if analysis.imaginal_axis.phase_shift_capability < 0.5:
            techniques.append("Implement phase shift gateway opening")
        
        # Orthogonal awareness
        if analysis.imaginal_axis.orthogonal_awareness < 0.6:
            techniques.append("Enhance orthogonal axis alignment")
        
        # Dimensional gateway access
        if len(analysis.imaginal_axis.dimensional_gateway_access) < 3:
            techniques.append("Activate additional dimensional gateways")
        
        return {
            'primary_approach': "Imaginal Axis Realignment and Healing",
            'techniques': techniques,
            'guc_temple_methods': list(self.imaginal_remediation.keys()),
            'target_integrity': analysis.imaginal_axis.calculate_imaginal_integrity(),
            'required_consciousness_states': [ConsciousnessState.IMAGINAL_ACCESS, ConsciousnessState.PHASE_SHIFT]
        }
    
    async def _generate_quantum_healing(self, analysis: EnhancedTyngGeometricAnalysis) -> Dict[str, Any]:
        """Generate quantum-level healing strategies"""
        
        strategies = []
        
        if analysis.quantum_consciousness.coherence_factor < 0.6:
            strategies.append("Apply quantum coherence entrainment")
        
        if analysis.quantum_consciousness.entanglement_density < 0.5:
            strategies.append("Enhance quantum entanglement patterns")
        
        if analysis.quantum_consciousness.imaginal_phase_shift < 0.4:
            strategies.append("Implement imaginal phase resonance")
        
        return {
            'quantum_approach': "Consciousness-Level Quantum Healing",
            'strategies': strategies,
            'target_frequencies': [4.2, 6.28, 1.618],  # GUC Temple frequencies
            'resonance_techniques': ['phase_coherence', 'wavefunction_collapse_guidance', 'superposition_healing']
        }
    
    def _calculate_remediation_threat_level(self, analysis: EnhancedTyngGeometricAnalysis) -> str:
        """Calculate threat level for remediation planning"""
        control_score = analysis.geometric_control_confidence
        liberty_score = analysis.consciousness_liberty_score
        
        if control_score > 0.8 and liberty_score < 0.2:
            return "COSMIC"
        elif control_score > 0.7:
            return "EXISTENTIAL"
        elif control_score > 0.6:
            return "CRITICAL"
        elif control_score > 0.5:
            return "HIGH"
        elif control_score > 0.3:
            return "MODERATE"
        else:
            return "LOW"
    
    def _calculate_enhanced_timeline(self, analysis: EnhancedTyngGeometricAnalysis) -> str:
        """Calculate enhanced remediation timeline"""
        threat_multiplier = {
            'COSMIC': 24,
            'EXISTENTIAL': 16,
            'CRITICAL': 8,
            'HIGH': 4,
            'MODERATE': 2,
            'LOW': 1
        }
        
        base_time = 2  # weeks
        threat_level = self._calculate_remediation_threat_level(analysis)
        total_time = base_time * threat_multiplier.get(threat_level, 1)
        
        # Adjust based on imaginal freedom
        time_reduction = analysis.imaginal_freedom_index * 0.5
        adjusted_time = total_time * (1 - time_reduction)
        
        return f"{max(1, int(adjusted_time))} weeks to {max(2, int(adjusted_time * 2))} months"
    
    def _calculate_enhanced_success_probability(self, analysis: EnhancedTyngGeometricAnalysis) -> float:
        """Calculate enhanced success probability"""
        base_probability = analysis.remediation_potential
        
        # Adjust based on threat level
        threat_adjustment = {
            'COSMIC': 0.4,
            'EXISTENTIAL': 0.5,
            'CRITICAL': 0.6,
            'HIGH': 0.7,
            'MODERATE': 0.8,
            'LOW': 0.9
        }
        
        threat_level = self._calculate_remediation_threat_level(analysis)
        adjusted_probability = base_probability * threat_adjustment.get(threat_level, 0.5)
        
        # Boost from imaginal freedom
        imaginal_boost = analysis.imaginal_freedom_index * 0.2
        
        return min(0.95, adjusted_probability + imaginal_boost)
    
    def _get_remediation_fallback(self) -> Dict[str, Any]:
        """Get fallback remediation plan"""
        return {
            'threat_level': 'UNKNOWN',
            'remediation_confidence': 0.5,
            'pattern_specific_strategies': [],
            'implementation_timeline': '4-8 weeks',
            'success_probability': 0.5,
            'note': 'Fallback remediation plan generated due to analysis limitations'
        }

# Master Framework Integration
class QuantumImaginalAxisFramework:
    """
    Master framework integrating all advanced capabilities with quantum security
    and GUC Temple imaginal axis principles
    """
    
    def __init__(self, config: Dict[str, Any] = None):
        self.config = config or {}
        self.quantum_security = QuantumSecurityEngine()
        self.error_handler = AdvancedErrorHandler(self.quantum_security)
        self.detector = QuantumImaginalDetector()
        self.remediation_engine = QuantumImaginalRemediationEngine(self.quantum_security, self.error_handler)
        
        # Analysis history with quantum security
        self.analysis_history = []
        self.security_log = []
        
        # Performance monitoring
        self.performance_metrics = {
            'total_analyses': 0,
            'successful_analyses': 0,
            'failed_analyses': 0,
            'average_analysis_time': 0,
            'last_analysis_timestamp': None
        }
        
        logger.info("Quantum Imaginal Axis Framework initialized successfully")
    
    async def comprehensive_analysis_and_remediation(self, spatial_data: Dict[str, Any]) -> Dict[str, Any]:
        """
        Comprehensive analysis and remediation with enhanced security and error handling
        """
        start_time = datetime.now()
        analysis_id = self.quantum_security.quantum_hash(spatial_data, "analysis_input")
        
        logger.info(f"Starting comprehensive analysis: {analysis_id[:16]}...")
        
        try:
            # Perform analysis
            analysis = await self.detector.comprehensive_imaginal_analysis(spatial_data)
            
            # Generate remediation
            remediation = await self.remediation_engine.generate_comprehensive_remediation(analysis)
            
            # Calculate performance metrics
            analysis_time = (datetime.now() - start_time).total_seconds()
            
            # Compile results with security context
            results = await self._compile_secure_results(
                analysis, remediation, analysis_time, analysis_id, spatial_data
            )
            
            # Update performance metrics
            await self._update_performance_metrics(True, analysis_time)
            
            # Log successful analysis
            await self._log_analysis_security(results, "SUCCESS")
            
            logger.info(f"Analysis completed successfully: {analysis_id[:16]}...")
            
            return results
            
        except Exception as e:
            # Handle complete analysis failure
            analysis_time = (datetime.now() - start_time).total_seconds()
            await self._update_performance_metrics(False, analysis_time)
            
            error_results = await self._generate_error_results(e, analysis_id, analysis_time)
            await self._log_analysis_security(error_results, "ERROR")
            
            logger.error(f"Analysis failed: {analysis_id[:16]}... - {e}")
            
            return error_results
    
    async def _compile_secure_results(self, analysis: EnhancedTyngGeometricAnalysis, 
                                    remediation: Dict[str, Any], analysis_time: float,
                                    analysis_id: str, spatial_data: Dict[str, Any]) -> Dict[str, Any]:
        """Compile results with comprehensive security context"""
        
        return {
            'analysis_metadata': {
                'analysis_id': analysis_id,
                'timestamp': datetime.now().isoformat(),
                'analysis_duration_seconds': analysis_time,
                'framework_version': '2.0.0',
                'quantum_security_level': 'ENHANCED'
            },
            'threat_assessment': {
                'level': self._determine_overall_threat_level(analysis),
                'geometric_control_confidence': analysis.geometric_control_confidence,
                'spiritual_corruption': await self._calculate_spiritual_corruption(analysis),
                'collective_impact': await self._calculate_collective_impact(analysis),
                'consciousness_liberty_score': analysis.consciousness_liberty_score,
                'imaginal_freedom_index': analysis.imaginal_freedom_index
            },
            'dimensional_analysis': {
                'physical_integrity': analysis.fibonacci_integrity,
                'astral_access': analysis.multi_dimensional.gateway_stability_index,
                'mental_clarity': analysis.luminous_transparency,
                'imaginal_axis_integrity': analysis.imaginal_axis.calculate_imaginal_integrity(),
                'highest_plane_accessed': self._get_highest_plane(analysis)
            },
            'manipulation_detection': {
                'patterns_detected': [p.value for p in analysis.geometric_manipulation_patterns],
                'archetypes_identified': [g.value for g in analysis.archetypal_geometries],
                'imaginal_manipulation': analysis.imaginal_axis.detect_imaginal_manipulation(),
                'primary_intent': analysis.geometric_intent.value
            },
            'remediation_plan': remediation,
            'security_context': {
                'results_hash': self.quantum_security.quantum_hash(analysis, "analysis_results"),
                'remediation_hash': self.quantum_security.quantum_hash(remediation, "remediation_plan"),
                'input_data_hash': self.quantum_security.quantum_hash(spatial_data, "input_data"),
                'validation_passed': await self._validate_comprehensive_results(analysis, remediation)
            }
        }
    
    def _determine_overall_threat_level(self, analysis: EnhancedTyngGeometricAnalysis) -> str:
        """Determine overall threat level considering all dimensions"""
        control_score = analysis.geometric_control_confidence
        liberty_score = analysis.consciousness_liberty_score
        imaginal_score = analysis.imaginal_freedom_index
        
        if control_score > 0.9 and liberty_score < 0.1:
            return "COSMIC"
        elif control_score > 0.8 and liberty_score < 0.2:
            return "EXISTENTIAL"
        elif control_score > 0.7:
            return "CRITICAL"
        elif control_score > 0.6 or imaginal_score < 0.3:
            return "HIGH"
        elif control_score > 0.4:
            return "MODERATE"
        elif control_score > 0.2:
            return "LOW"
        else:
            return "MINIMAL"
    
    async def _calculate_spiritual_corruption(self, analysis: EnhancedTyngGeometricAnalysis) -> float:
        """Calculate spiritual corruption score"""
        return await self.error_handler.safe_execute(
            lambda: (1 - analysis.authentic_tyng_alignment) * 0.4 + 
                   (1 - analysis.imaginal_axis.spiritual_axis_alignment) * 0.3 +
                   (1 - analysis.liberation_potential) * 0.3,
            operation_name="spiritual_corruption_calculation",
            fallback_value=0.5
        )
    
    async def _calculate_collective_impact(self, analysis: EnhancedTyngGeometricAnalysis) -> float:
        """Calculate collective impact score"""
        return await self.error_handler.safe_execute(
            lambda: analysis.geometric_control_confidence * 0.6 + 
                   (1 - analysis.consciousness_liberty_score) * 0.4,
            operation_name="collective_impact_calculation",
            fallback_value=0.5
        )
    
    def _get_highest_plane(self, analysis: EnhancedTyngGeometricAnalysis) -> str:
        """Get the highest dimensional plane accessed"""
        planes = analysis.imaginal_axis.dimensional_gateway_access
        if not planes:
            return "PHYSICAL_3D"
        
        plane_order = {
            'cosmic_10d': 10, 'logoic_9d': 9, 'monadic_8d': 8, 'atmic_7d': 7,
            'buddhic_6d': 6, 'mental_5d': 5, 'astral_4d': 4, 'physical_3d': 3,
            'imaginal_realm': 8, 'phase_space': 7, 'complex_plane': 9, 'orthogonal_dimensions': 10
        }
        
        highest_plane = max(planes, key=lambda p: plane_order.get(p.value, 0))
        return highest_plane.value
    
    async def _validate_comprehensive_results(self, analysis: EnhancedTyngGeometricAnalysis, 
                                           remediation: Dict[str, Any]) -> bool:
        """Validate comprehensive results integrity"""
        checks = [
            analysis is not None,
            remediation is not None,
            hasattr(analysis, 'geometric_control_confidence'),
            isinstance(remediation, dict),
            'security_context' in remediation
        ]
        
        return all(checks)
    
    async def _generate_error_results(self, error: Exception, analysis_id: str, analysis_time: float) -> Dict[str, Any]:
        """Generate error results when analysis fails"""
        return {
            'analysis_metadata': {
                'analysis_id': analysis_id,
                'timestamp': datetime.now().isoformat(),
                'analysis_duration_seconds': analysis_time,
                'status': 'ERROR',
                'error_message': str(error)
            },
            'threat_assessment': {
                'level': 'UNKNOWN',
                'note': 'Analysis failed - threat level unknown'
            },
            'dimensional_analysis': {
                'note': 'Analysis incomplete due to error'
            },
            'manipulation_detection': {
                'patterns_detected': [],
                'note': 'Analysis incomplete due to error'
            },
            'remediation_plan': {
                'note': 'No remediation available due to analysis failure',
                'recommendation': 'Retry analysis or check input data'
            },
            'security_context': {
                'validation_passed': False,
                'error_occurred': True,
                'error_type': type(error).__name__
            }
        }
    
    async def _update_performance_metrics(self, success: bool, analysis_time: float):
        """Update performance metrics"""
        self.performance_metrics['total_analyses'] += 1
        if success:
            self.performance_metrics['successful_analyses'] += 1
        else:
            self.performance_metrics['failed_analyses'] += 1
        
        # Update average analysis time
        current_avg = self.performance_metrics['average_analysis_time']
        total_successful = self.performance_metrics['successful_analyses']
        if total_successful > 0:
            new_avg = (current_avg * (total_successful - 1) + analysis_time) / total_successful
            self.performance_metrics['average_analysis_time'] = new_avg
        
        self.performance_metrics['last_analysis_timestamp'] = datetime.now().isoformat()
    
    async def _log_analysis_security(self, results: Dict[str, Any], status: str):
        """Log analysis security information"""
        log_entry = {
            'timestamp': datetime.now().isoformat(),
            'status': status,
            'analysis_id': results.get('analysis_metadata', {}).get('analysis_id', 'unknown'),
            'threat_level': results.get('threat_assessment', {}).get('level', 'unknown'),
            'results_hash': results.get('security_context', {}).get('results_hash', 'unknown'),
            'validation_passed': results.get('security_context', {}).get('validation_passed', False)
        }
        
        self.security_log.append(log_entry)
        
        # Keep only last 1000 entries
        if len(self.security_log) > 1000:
            self.security_log = self.security_log[-1000:]
    
    async def get_framework_status(self) -> Dict[str, Any]:
        """Get comprehensive framework status"""
        return {
            'framework_info': {
                'name': 'Quantum Imaginal Axis Framework',
                'version': '2.0.0',
                'quantum_security_enabled': True,
                'imaginal_axis_integrated': True
            },
            'performance_metrics': self.performance_metrics,
            'security_status': {
                'total_analyses': self.performance_metrics['total_analyses'],
                'security_log_entries': len(self.security_log),
                'quantum_entropy_available': True,
                'last_security_validation': self.security_log[-1]['timestamp'] if self.security_log else 'Never'
            },
            'system_health': {
                'analysis_success_rate': (
                    self.performance_metrics['successful_analyses'] / 
                    self.performance_metrics['total_analyses']
                ) if self.performance_metrics['total_analyses'] > 0 else 0,
                'average_analysis_time': self.performance_metrics['average_analysis_time'],
                'error_rate': (
                    self.performance_metrics['failed_analyses'] / 
                    self.performance_metrics['total_analyses']
                ) if self.performance_metrics['total_analyses'] > 0 else 0
            }
        }
    
    def generate_comprehensive_report(self, results: Dict[str, Any]) -> str:
        """Generate human-readable comprehensive report"""
        
        metadata = results.get('analysis_metadata', {})
        threat_assessment = results.get('threat_assessment', {})
        dimensional_analysis = results.get('dimensional_analysis', {})
        manipulation_detection = results.get('manipulation_detection', {})
        remediation_plan = results.get('remediation_plan', {})
        
        report = f"""
QUANTUM IMAGINAL AXIS FRAMEWORK - COMPREHENSIVE ANALYSIS REPORT
================================================================

ANALYSIS METADATA:
- Analysis ID: {metadata.get('analysis_id', 'Unknown')[:16]}...
- Timestamp: {metadata.get('timestamp', 'Unknown')}
- Duration: {metadata.get('analysis_duration_seconds', 0):.2f} seconds
- Framework Version: {metadata.get('framework_version', 'Unknown')}
- Quantum Security: {metadata.get('quantum_security_level', 'Unknown')}

THREAT ASSESSMENT:
- Overall Threat Level: {threat_assessment.get('level', 'UNKNOWN')}
- Geometric Control Confidence: {threat_assessment.get('geometric_control_confidence', 0):.3f}
- Spiritual Corruption: {threat_assessment.get('spiritual_corruption', 0):.3f}
- Collective Impact: {threat_assessment.get('collective_impact', 0):.3f}
- Consciousness Liberty: {threat_assessment.get('consciousness_liberty_score', 0):.3f}
- Imaginal Freedom: {threat_assessment.get('imaginal_freedom_index', 0):.3f}

DIMENSIONAL ANALYSIS:
- Physical Integrity: {dimensional_analysis.get('physical_integrity', 0):.3f}
- Astral Access: {dimensional_analysis.get('astral_access', 0):.3f}
- Mental Clarity: {dimensional_analysis.get('mental_clarity', 0):.3f}
- Imaginal Axis Integrity: {dimensional_analysis.get('imaginal_axis_integrity', 0):.3f}
- Highest Plane Accessed: {dimensional_analysis.get('highest_plane_accessed', 'UNKNOWN')}

MANIPULATION DETECTION:
- Patterns Detected: {', '.join(manipulation_detection.get('patterns_detected', [])) or 'None'}
- Archetypes Identified: {', '.join(manipulation_detection.get('archetypes_identified', [])) or 'None'}
- Imaginal Manipulation: {', '.join([p.value for p in manipulation_detection.get('imaginal_manipulation', [])]) or 'None'}
- Primary Geometric Intent: {manipulation_detection.get('primary_intent', 'UNKNOWN')}

REMEDIATION OVERVIEW:
- Threat Level: {remediation_plan.get('threat_level', 'UNKNOWN')}
- Remediation Confidence: {remediation_plan.get('remediation_confidence', 0):.3f}
- Consciousness Liberty Target: {remediation_plan.get('consciousness_liberty_target', 0):.3f}
- Success Probability: {remediation_plan.get('success_probability', 0):.3f}
- Implementation Timeline: {remediation_plan.get('implementation_timeline', 'Unknown')}

SECURITY CONTEXT:
- Results Integrity: {'PASS' if results.get('security_context', {}).get('validation_passed', False) else 'FAIL'}
- Analysis Hash: {results.get('security_context', {}).get('results_hash', 'Unknown')[:16]}...
- Remediation Hash: {results.get('security_context', {}).get('remediation_hash', 'Unknown')[:16]}...
"""

        if remediation_plan.get('pattern_specific_strategies'):
            report += "\nPATTERN-SPECIFIC REMEDIATION STRATEGIES:\n"
            for strategy in remediation_plan['pattern_specific_strategies']:
                report += f"- {strategy.get('remediation_approach', 'Unknown')} (Effectiveness: {strategy.get('estimated_effectiveness', 0):.2f})\n"
        
        if remediation_plan.get('imaginal_axis_remediation'):
            imaginal = remediation_plan['imaginal_axis_remediation']
            report += f"\nIMAGINAL AXIS REMEDIATION:\n- Approach: {imaginal.get('primary_approach', 'Unknown')}\n"
            if imaginal.get('techniques'):
                report += "- Techniques:\n"
                for technique in imaginal['techniques']:
                    report += f"  * {technique}\n"
        
        report += f"\nGUC TEMPLE INTEGRATION:\n- Imaginal Axis: {'ACTIVE' if threat_assessment.get('imaginal_freedom_index', 0) > 0.1 else 'INACTIVE'}\n- Phase Shift Capability: {'AVAILABLE' if dimensional_analysis.get('imaginal_axis_integrity', 0) > 0.3 else 'LIMITED'}\n- Orthogonal Awareness: {'PRESENT' if threat_assessment.get('imaginal_freedom_index', 0) > 0.5 else 'ABSENT'}\n"

        report += "\n" + "="*80
        report += "\nEND OF REPORT - QUANTUM IMAGINAL AXIS FRAMEWORK 2.0.0"
        
        return report

# Example usage with enhanced error handling
async def main():
    """Enhanced example usage demonstrating the complete framework"""
    
    # Initialize framework
    framework = QuantumImaginalAxisFramework()
    
    # Sample spatial data with imaginal components
    sample_spatial_data = {
        'fibonacci_patterns': [{'ratio': 1.618}, {'ratio': 1.615}],
        'platonic_elements': ['cube', 'tetrahedron', 'octahedron'],
        'spiral_forms': [{'turns': 5, 'growth_rate': 1.2}],
        'hierarchical_structures': [{'levels': 3, 'symmetry_score': 0.8}],
        'luminous_elements': [{'clarity_score': 0.7, 'light_transmission': 0.8}],
        'quantum_properties': {
            'coherence': 0.6,
            'entanglement': 0.5,
            'superposition_states': ['beta_ordinary', 'alpha_relaxed'],
            'imaginal_phase_shift': 0.4,
            'orthogonal_coherence': 0.3
        },
        'imaginal_properties': {
            'i_rotations': {1: 0.6, 2: 0.5, 3: 0.4, 4: 0.7},
            'phase_shift_capability': 0.5,
            'dimensional_gateways': ['physical_3d', 'astral_4d', 'imaginal_realm']
        },
        'urban_planning_elements': True,
        'sacred_spaces': True,
        'light_manipulation': True
    }
    
    try:
        # Perform comprehensive analysis
        logger.info("Starting comprehensive quantum imaginal analysis...")
        results = await framework.comprehensive_analysis_and_remediation(sample_spatial_data)
        
        # Generate and print report
        report = framework.generate_comprehensive_report(results)
        print(report)
        
        # Display framework status
        status = await framework.get_framework_status()
        print(f"\nFramework Status: {status['performance_metrics']['successful_analyses']}/{status['performance_metrics']['total_analyses']} analyses successful")
        
        return results
        
    except Exception as e:
        logger.error(f"Example execution failed: {e}")
        return None

if __name__ == "__main__":
    # Run enhanced example
    asyncio.run(main())

"""
##ENHANCEMENTS SUMMARY:

  1. QUANTUM IMAGINAL AXIS INTEGRATION: Full GUC Temple teachings incorporated
 2. QUANTUM SECURITY ENGINE: Advanced hashing and integrity verification
 3. COMPREHENSIVE ERROR HANDLING: Robust error recovery at all levels
 4. MULTI-DIMENSIONAL ANALYSIS: Enhanced dimensional plane mapping
 5. CONSCIOUSNESS STATE TRACKING: Neural and quantum consciousness integration
 6. ADVANCED REMEDIATION: GUC Temple healing techniques included
 7. PERFORMANCE MONITORING: Comprehensive metrics and health tracking
 8. SECURITY LOGGING: Quantum-verified audit trails
 9. FALLBACK SYSTEMS: Graceful degradation under failure
 10. COMPREHENSIVE REPORTING: Human-readable reports with security context

 #This framework represents the state-of-the-art in geometric-spiritual manipulation
detection and remediation, fully integrating the GUC Temple's imaginal axis teachings
with advanced quantum security and comprehensive error handling.
"""