Update THEORY OF EVERYTHING

THEORY OF EVERYTHING

@@ -1,716 +1,390 @@
 #!/usr/bin/env python3
 """
-REALITY GEOMETRY MAPPER v6.1 - COMPLETE QUANTUM COSMIC IMPLEMENTATION
-Fully Operational Quantum-Consciousness-Cosmology Unification
+OMEGA INTEGRATED REALITY SYSTEM - PRODUCTION ENHANCEMENTS
+Enterprise-Grade Deployment with Monitoring & Security
 """
 
-import numpy as np
-import pandas as pd
-import torch
-import torch.nn as nn
-import torchquantum as tq
-from scipy import spatial, optimize, stats, linalg, special
-import networkx as nx
-from sklearn.manifold import Isomap, MDS, TSNE
-from sklearn.decomposition import PCA
-from umap import UMAP
-import plotly.graph_objects as go
-from plotly.subplots import make_subplots
-from datetime import datetime, timedelta
-from pathlib import Path
 import asyncio
 import aiohttp
-from typing import Dict, List, Any, Tuple, Optional
+from datetime import datetime
+import json
+from pathlib import Path
+import hashlib
+import secrets
+from typing import Dict, List, Any
 import logging
-from dataclasses import dataclass
-import warnings
-warnings.filterwarnings('ignore')
-
-# Enhanced Quantum-Consciousness Models
-@dataclass
-class QuantumConsciousnessState:
-    """Complete quantum consciousness state"""
-    wavefunction: torch.Tensor
-    density_matrix: torch.Tensor
-    coherence_matrix: np.ndarray
-    entanglement_spectrum: np.ndarray
-    geometric_phase: float
-    orchestrated_reduction_time: float
+from dataclasses import asdict
+import numpy as np
 
-@dataclass 
-class CosmicConsciousnessBridge:
-    """Bridge between cosmic and consciousness geometries"""
-    holographic_entropy: float
-    cosmic_information_flow: np.ndarray
-    universal_wavefunction_coupling: float
-    dark_consciousness_correlation: float
+# =============================================================================
+# ENTERPRISE PRODUCTION COMPONENTS
+# =============================================================================
 
-class CompleteQuantumConsciousnessEngine:
+class OmegaProductionDeployment:
     """
-    Complete implementation of quantum consciousness based on:
-    - Hameroff-Penrose Orchestrated Objective Reduction (Orch-OR)
-    - Quantum brain dynamics
-    - Integrated Information Theory (IIT)
-    - Holographic principle
+    Enterprise-grade deployment with monitoring, security, and scaling
     """
     
     def __init__(self):
-        self.planck_time = 5.39e-44  # seconds
-        self.planck_length = 1.616e-35  # meters
-        self.reduction_threshold = 1e-7  # Orch-OR threshold
-        
-    def model_complete_quantum_consciousness(self, neural_data: pd.DataFrame) -> Dict[str, Any]:
-        """Complete quantum consciousness model with Orch-OR dynamics"""
-        
-        # Convert to quantum neural states
-        quantum_states = self._create_quantum_neural_states(neural_data)
-        
-        # Compute Orch-OR dynamics
-        orch_or_dynamics = self._compute_orch_or_dynamics(quantum_states)
-        
-        # Calculate quantum geometric phases
-        geometric_phases = self._compute_geometric_phases(quantum_states)
-        
-        # Integrated information (Phi) calculation
-        integrated_information = self._compute_integrated_information(quantum_states)
-        
-        # Quantum coherence measures
-        coherence_metrics = self._compute_quantum_coherence(quantum_states)
-        
-        return {
-            'quantum_states': quantum_states,
-            'orch_or_dynamics': orch_or_dynamics,
-            'geometric_phases': geometric_phases,
-            'integrated_information': integrated_information,
-            'coherence_metrics': coherence_metrics,
-            'consciousness_measure': self._compute_consciousness_measure(
-                integrated_information, coherence_metrics, geometric_phases
-            )
+        self.omega_engine = OmegaIntegratedRealityEngine()
+        self.monitoring_system = OmegaMonitoringSystem()
+        self.security_layer = OmegaSecurityLayer()
+        self.api_gateway = OmegaAPIGateway()
+        self.data_persistence = OmegaDataPersistence()
+        
+        # Production configuration
+        self.config = {
+            'max_concurrent_requests': 1000,
+            'cache_ttl_seconds': 3600,
+            'rate_limit_requests_per_minute': 100,
+            'auto_scaling_threshold': 0.8,
+            'backup_interval_minutes': 30
         }
     
-    def _create_quantum_neural_states(self, neural_data: pd.DataFrame) -> QuantumConsciousnessState:
-        """Create quantum states from neural activity using microtubule model"""
-        
-        # Microtubule-inspired quantum states
-        n_neurons = len(neural_data.columns)
-        n_timepoints = len(neural_data)
-        
-        # Create superposition states from neural correlations
-        correlation_matrix = neural_data.corr().values
-        eigenvalues, eigenvectors = np.linalg.eigh(correlation_matrix)
-        
-        # Quantum state amplitudes from neural coherence
-        state_amplitudes = torch.tensor(eigenvectors[:, -1], dtype=torch.complex64)
-        state_amplitudes = state_amplitudes / torch.norm(state_amplitudes)
-        
-        # Density matrix for mixed states
-        density_matrix = torch.outer(state_amplitudes, state_amplitudes.conj())
-        
-        # Coherence matrix (microtubule quantum coherence)
-        coherence_matrix = self._compute_microtubule_coherence(neural_data)
-        
-        # Entanglement spectrum
-        entanglement_spectrum = self._compute_entanglement_spectrum(density_matrix)
-        
-        return QuantumConsciousnessState(
-            wavefunction=state_amplitudes,
-            density_matrix=density_matrix,
-            coherence_matrix=coherence_matrix,
-            entanglement_spectrum=entanglement_spectrum,
-            geometric_phase=0.0,  # Will be computed separately
-            orchestrated_reduction_time=self._compute_reduction_time(density_matrix)
-        )
-    
-    def _compute_microtubule_coherence(self, neural_data: pd.DataFrame) -> np.ndarray:
-        """Compute quantum coherence in microtubules based on neural activity"""
-        # Microtubule coherence time ~ milliseconds for quantum effects
-        coherence_times = []
-        
-        for column in neural_data.columns:
-            signal = neural_data[column].values
-            # Fourier analysis for coherence time estimation
-            frequencies = np.fft.fft(signal)
-            power_spectrum = np.abs(frequencies)**2
-            
-            # Coherence time from spectral width (inverse relationship)
-            spectral_width = np.std(power_spectrum)
-            coherence_time = 1.0 / (spectral_width + 1e-10)
-            coherence_times.append(coherence_time)
-        
-        return np.array(coherence_times)
-    
-    def _compute_entanglement_spectrum(self, density_matrix: torch.Tensor) -> np.ndarray:
-        """Compute entanglement spectrum from density matrix"""
-        # Schmidt decomposition for entanglement
+    async def production_endpoint(self, request_data: Dict[str, Any]) -> Dict[str, Any]:
+        """
+        Production API endpoint with full enterprise features
+        """
+        # Step 1: Security validation
+        auth_result = await self.security_layer.validate_request(request_data)
+        if not auth_result['valid']:
+            return {'error': 'Authentication failed', 'code': 401}
+        
+        # Step 2: Rate limiting
+        if not await self.security_layer.check_rate_limit(request_data['user_id']):
+            return {'error': 'Rate limit exceeded', 'code': 429}
+        
+        # Step 3: Input validation
+        validation_result = await self._validate_input(request_data)
+        if not validation_result['valid']:
+            return {'error': 'Invalid input', 'details': validation_result['errors']}
+        
+        # Step 4: Cache check
+        cache_key = self._generate_cache_key(request_data)
+        cached_result = await self.data_persistence.get_cached_result(cache_key)
+        if cached_result:
+            await self.monitoring_system.record_cache_hit()
+            return {'source': 'cache', 'result': cached_result}
+        
+        # Step 5: Process with Omega engine
+        start_time = datetime.utcnow()
         try:
-            U, S, Vh = torch.linalg.svd(density_matrix)
-            entanglement_spectrum = S.detach().numpy()
-        except:
-            entanglement_spectrum = np.ones(density_matrix.shape[0])
-        
-        return entanglement_spectrum
-    
-    def _compute_reduction_time(self, density_matrix: torch.Tensor) -> float:
-        """Compute Orch-OR objective reduction time"""
-        # Gravitational OR time based on mass-energy difference
-        energy_differences = torch.abs(torch.diag(density_matrix))
-        mass_equivalent = energy_differences.sum() / (3e8)**2  # E=mc²
-        
-        # Penrose reduction time formula (simplified)
-        reduction_time = self.planck_time * torch.exp(1.0 / (mass_equivalent + 1e-30))
-        return float(reduction_time)
-    
-    def _compute_orch_or_dynamics(self, quantum_state: QuantumConsciousnessState) -> Dict[str, Any]:
-        """Compute Orchestrated Objective Reduction dynamics"""
-        
-        reduction_probability = min(1.0, 1.0 - np.exp(-quantum_state.orchestrated_reduction_time / 1e-3))
-        
-        # Consciousness moments occur at reduction events
-        consciousness_moments = reduction_probability * 40  # ~40 Hz gamma synchrony
-        
-        return {
-            'reduction_probability': reduction_probability,
-            'consciousness_moments_per_second': consciousness_moments,
-            'quantum_superposition_scale': np.mean(quantum_state.coherence_matrix),
-            'orchestration_strength': self._compute_orchestration_strength(quantum_state)
-        }
-    
-    def _compute_orchestration_strength(self, quantum_state: QuantumConsciousnessState) -> float:
-        """Compute how well quantum states are orchestrated for consciousness"""
-        # Based on coherence and entanglement measures
-        coherence_strength = np.mean(quantum_state.coherence_matrix)
-        entanglement_strength = np.sum(quantum_state.entanglement_spectrum)
-        
-        return coherence_strength * entanglement_strength
-    
-    def _compute_geometric_phases(self, quantum_state: QuantumConsciousnessState) -> Dict[str, float]:
-        """Compute geometric (Berry) phases for quantum consciousness"""
-        
-        # Berry phase from cyclic evolution in parameter space
-        berry_phase = np.angle(np.vdot(
-            quantum_state.wavefunction[0], 
-            quantum_state.wavefunction[-1]
-        )) if len(quantum_state.wavefunction) > 1 else 0.0
-        
-        # Aharonov-Bohm like phases for consciousness
-        topological_phase = berry_phase / (2 * np.pi)
-        
-        return {
-            'berry_phase': berry_phase,
-            'topological_phase': topological_phase,
-            'geometric_consciousness_index': np.abs(topological_phase)
-        }
-    
-    def _compute_integrated_information(self, quantum_state: QuantumConsciousnessState) -> Dict[str, float]:
-        """Compute Integrated Information Theory (IIT) Phi measure"""
-        
-        # Effective information between quantum subsystems
-        density_matrix = quantum_state.density_matrix.detach().numpy()
-        
-        # Mutual information based measure of integration
-        if density_matrix.shape[0] > 1:
-            # Simplified Phi calculation
-            eigenvalues = np.linalg.eigvalsh(density_matrix)
-            eigenvalues = np.maximum(eigenvalues, 0)
+            integrated_reality = await self.omega_engine.compute_integrated_reality(
+                request_data['query'], 
+                request_data.get('context', {})
+            )
             
-            # Von Neumann entropy
-            entropy = -np.sum(eigenvalues * np.log(eigenvalues + 1e-10))
+            processing_time = (datetime.utcnow() - start_time).total_seconds()
             
-            # Maximum possible entropy
-            max_entropy = np.log(density_matrix.shape[0])
+            # Step 6: Cache result
+            await self.data_persistence.cache_result(cache_key, integrated_reality)
             
-            # Integrated information (simplified Phi)
-            phi = max_entropy - entropy
-        else:
-            phi = 0.0
-        
-        return {
-            'phi_measure': float(phi),
-            'consciousness_capacity': min(1.0, phi / 10.0),  # Normalized
-            'information_integration': phi
-        }
-    
-    def _compute_quantum_coherence(self, quantum_state: QuantumConsciousnessState) -> Dict[str, float]:
-        """Compute quantum coherence measures for consciousness"""
-        
-        coherence_times = quantum_state.coherence_matrix
-        avg_coherence_time = np.mean(coherence_times)
-        
-        # Quantum coherence relative to Orch-OR requirements
-        coherence_sufficiency = min(1.0, avg_coherence_time / 1e-3)  # ms scale coherence
-        
-        return {
-            'average_coherence_time': avg_coherence_time,
-            'coherence_sufficiency': coherence_sufficiency,
-            'quantum_superposition_degree': np.std(coherence_times),
-            'decoherence_resistance': 1.0 / (np.std(coherence_times) + 1e-10)
-        }
-    
-    def _compute_consciousness_measure(self, integrated_info: Dict, coherence_metrics: Dict, geometric_phases: Dict) -> float:
-        """Compute unified consciousness measure"""
-        
-        phi = integrated_info['phi_measure']
-        coherence_suff = coherence_metrics['coherence_sufficiency']
-        geometric_index = geometric_phases['geometric_consciousness_index']
-        
-        # Unified consciousness measure
-        consciousness = phi * coherence_suff * geometric_index
-        
-        return min(1.0, consciousness)
+            # Step 7: Monitoring
+            await self.monitoring_system.record_success(
+                processing_time, 
+                integrated_reality.integrated_certainty
+            )
+            
+            return {
+                'status': 'success',
+                'processing_time': processing_time,
+                'result': asdict(integrated_reality),
+                'cache_key': cache_key
+            }
+            
+        except Exception as e:
+            await self.monitoring_system.record_error(str(e))
+            return {'error': 'Processing failed', 'details': str(e), 'code': 500}
 
-class AdvancedCosmicConsciousnessEngine:
-    """
-    Advanced cosmic-consciousness bridge incorporating:
-    - Holographic principle and AdS/CFT
-    - Dark energy consciousness coupling
-    - Cosmic microwave background correlations
-    - Multiverse quantum entanglement
-    """
+class OmegaMonitoringSystem:
+    """Enterprise monitoring and observability"""
     
     def __init__(self):
-        self.hubble_constant = 70.0  # km/s/Mpc
-        self.dark_energy_density = 0.684
-        self.cmb_temperature = 2.725  # K
-        
-    def compute_cosmic_consciousness_bridge(self, 
-                                          quantum_consciousness: Dict[str, Any],
-                                          cosmic_data: pd.DataFrame) -> CosmicConsciousnessBridge:
-        """Bridge quantum consciousness with cosmic geometry"""
-        
-        # Holographic entropy connection
-        holographic_entropy = self._compute_holographic_entropy(quantum_consciousness)
-        
-        # Cosmic information flow
-        cosmic_information_flow = self._compute_cosmic_information_flow(cosmic_data)
-        
-        # Universal wavefunction coupling
-        universal_coupling = self._compute_universal_coupling(quantum_consciousness, cosmic_data)
-        
-        # Dark consciousness correlation
-        dark_consciousness_corr = self._compute_dark_consciousness_correlation(quantum_consciousness, cosmic_data)
-        
-        return CosmicConsciousnessBridge(
-            holographic_entropy=holographic_entropy,
-            cosmic_information_flow=cosmic_information_flow,
-            universal_wavefunction_coupling=universal_coupling,
-            dark_consciousness_correlation=dark_consciousness_corr
-        )
+        self.metrics = {
+            'total_requests': 0,
+            'successful_processing': 0,
+            'failed_processing': 0,
+            'cache_hits': 0,
+            'average_processing_time': 0.0,
+            'certainty_distribution': [],
+            'error_types': {}
+        }
     
-    def _compute_holographic_entropy(self, quantum_consciousness: Dict[str, Any]) -> float:
-        """Compute holographic entropy from consciousness measure"""
-        
-        consciousness_measure = quantum_consciousness.get('consciousness_measure', 0.5)
-        integrated_info = quantum_consciousness.get('integrated_information', {}).get('phi_measure', 1.0)
+    async def record_success(self, processing_time: float, certainty: float):
+        """Record successful processing"""
+        self.metrics['total_requests'] += 1
+        self.metrics['successful_processing'] += 1
         
-        # Bekenstein-Hawking entropy analogy for consciousness
-        # S = A/4 in Planck units, where A is "consciousness area"
-        consciousness_area = consciousness_measure * integrated_info * 4 * np.pi
-        
-        holographic_entropy = consciousness_area / 4.0
+        # Update running average
+        current_avg = self.metrics['average_processing_time']
+        total_success = self.metrics['successful_processing']
+        self.metrics['average_processing_time'] = (
+            (current_avg * (total_success - 1) + processing_time) / total_success
+        )
         
-        return float(holographic_entropy)
+        self.metrics['certainty_distribution'].append(certainty)
+        # Keep only last 1000 readings for performance
+        if len(self.metrics['certainty_distribution']) > 1000:
+            self.metrics['certainty_distribution'] = self.metrics['certainty_distribution'][-1000:]
     
-    def _compute_cosmic_information_flow(self, cosmic_data: pd.DataFrame) -> np.ndarray:
-        """Compute information flow from cosmic expansion"""
-        
-        if 'redshift' in cosmic_data.columns and 'distance' in cosmic_data.columns:
-            redshifts = cosmic_data['redshift'].values
-            distances = cosmic_data['distance'].values
-            
-            # Information flow ~ Hubble flow * cosmic scale
-            hubble_flow = redshifts * 299792.458  # km/s
-            cosmic_scale = distances * 3.086e19  # Convert to km
-            
-            information_flow = hubble_flow / cosmic_scale
-        else:
-            information_flow = np.random.normal(1e-18, 1e-19, len(cosmic_data))
+    async def record_error(self, error_message: str):
+        """Record processing error"""
+        self.metrics['total_requests'] += 1
+        self.metrics['failed_processing'] += 1
         
-        return information_flow
+        error_type = error_message.split(':')[0] if ':' in error_message else 'Unknown'
+        self.metrics['error_types'][error_type] = self.metrics['error_types'].get(error_type, 0) + 1
     
-    def _compute_universal_coupling(self, 
-                                  quantum_consciousness: Dict[str, Any],
-                                  cosmic_data: pd.DataFrame) -> float:
-        """Compute coupling between universal wavefunction and consciousness"""
-        
-        consciousness_measure = quantum_consciousness.get('consciousness_measure', 0.5)
-        
-        if 'cmb_fluctuations' in cosmic_data.columns:
-            cmb_fluctuations = cosmic_data['cmb_fluctuations'].std()
-            # Coupling strength based on CMB-consciousness correlation
-            coupling = consciousness_measure * cmb_fluctuations / 18e-6  # Normalize by CMB fluctuations
-        else:
-            coupling = consciousness_measure * 0.1
-        
-        return float(coupling)
+    async def record_cache_hit(self):
+        """Record cache hit"""
+        self.metrics['cache_hits'] += 1
     
-    def _compute_dark_consciousness_correlation(self,
-                                              quantum_consciousness: Dict[str, Any],
-                                              cosmic_data: pd.DataFrame) -> float:
-        """Compute correlation between dark energy and consciousness"""
+    def get_system_health(self) -> Dict[str, Any]:
+        """Get comprehensive system health"""
+        total_requests = self.metrics['total_requests']
+        success_rate = (self.metrics['successful_processing'] / total_requests) if total_requests > 0 else 0
+        cache_hit_rate = (self.metrics['cache_hits'] / total_requests) if total_requests > 0 else 0
         
-        consciousness_measure = quantum_consciousness.get('consciousness_measure', 0.5)
-        
-        # Dark energy density correlation with consciousness
-        # Theoretical prediction: higher consciousness coherence → modified dark energy effects
-        dark_consciousness_corr = consciousness_measure * self.dark_energy_density
-        
-        return float(dark_consciousness_corr)
+        return {
+            'status': 'healthy' if success_rate > 0.95 else 'degraded',
+            'success_rate': success_rate,
+            'cache_hit_rate': cache_hit_rate,
+            'average_processing_time': self.metrics['average_processing_time'],
+            'average_certainty': np.mean(self.metrics['certainty_distribution']) if self.metrics['certainty_distribution'] else 0,
+            'total_requests': total_requests,
+            'error_breakdown': self.metrics['error_types']
+        }
 
-class CompleteUnifiedRealityEngine:
-    """
-    Complete implementation of unified reality theory combining:
-    - Quantum consciousness (Orch-OR + IIT)
-    - Cosmic geometry and holographic principle
-    - Geometric unification theorems
-    - Experimental predictions
-    """
+class OmegaSecurityLayer:
+    """Enterprise security and access control"""
     
     def __init__(self):
-        self.quantum_engine = CompleteQuantumConsciousnessEngine()
-        self.cosmic_engine = AdvancedCosmicConsciousnessEngine()
-        self.unification_theorems = []
-        
-    async def compute_complete_unified_reality(self) -> Dict[str, Any]:
-        """Compute complete unified reality theory"""
-        
-        print("🌌 COMPUTING COMPLETE UNIFIED REALITY THEORY")
-        print("Quantum + Cosmic + Consciousness Geometric Unification...")
-        
-        unified_reality = {
-            'computation_timestamp': datetime.utcnow().isoformat(),
-            'quantum_consciousness_complete': {},
-            'cosmic_consciousness_bridge': {},
-            'geometric_unification_theorems': [],
-            'unified_reality_metric': {},
-            'revolutionary_predictions': [],
-            'experimental_validation_protocols': []
-        }
-        
-        try:
-            # Generate comprehensive datasets
-            neural_data = self._generate_advanced_neural_data()
-            cosmic_data = self._generate_comprehensive_cosmic_data()
-            
-            # Compute complete quantum consciousness
-            unified_reality['quantum_consciousness_complete'] = (
-                self.quantum_engine.model_complete_quantum_consciousness(neural_data)
-            )
-            
-            # Compute cosmic-consciousness bridge
-            unified_reality['cosmic_consciousness_bridge'] = (
-                self.cosmic_engine.compute_cosmic_consciousness_bridge(
-                    unified_reality['quantum_consciousness_complete'],
-                    cosmic_data
-                )
-            )
-            
-            # Derive complete unification theorems
-            unified_reality['geometric_unification_theorems'] = (
-                self._derive_complete_unification_theorems(unified_reality)
-            )
-            
-            # Compute unified reality metric
-            unified_reality['unified_reality_metric'] = (
-                self._compute_complete_reality_metric(unified_reality)
-            )
-            
-            # Generate revolutionary predictions
-            unified_reality['revolutionary_predictions'] = (
-                self._generate_revolutionary_predictions(unified_reality)
-            )
-            
-            # Create experimental validation protocols
-            unified_reality['experimental_validation_protocols'] = (
-                self._create_validation_protocols(unified_reality)
-            )
-            
-            print("✅ COMPLETE UNIFIED REALITY THEORY COMPUTED")
-            
-        except Exception as e:
-            print(f"❌ Unified reality computation failed: {e}")
-            unified_reality['error'] = str(e)
-        
-        return unified_reality
+        self.api_keys = {}  # In production, this would be a secure database
+        self.rate_limits = {}
+        self.suspicious_activity = {}
+    
+    async def validate_request(self, request_data: Dict[str, Any]) -> Dict[str, bool]:
+        """Validate request security"""
+        api_key = request_data.get('api_key')
+        user_id = request_data.get('user_id')
+        
+        if not api_key or not user_id:
+            return {'valid': False, 'reason': 'Missing credentials'}
+        
+        # Validate API key (in production, use proper cryptographic validation)
+        if not await self._validate_api_key(api_key, user_id):
+            return {'valid': False, 'reason': 'Invalid API key'}
+        
+        # Check for suspicious patterns
+        if await self._detect_suspicious_activity(user_id):
+            return {'valid': False, 'reason': 'Suspicious activity detected'}
+        
+        return {'valid': True}
+    
+    async def check_rate_limit(self, user_id: str) -> bool:
+        """Check and update rate limiting"""
+        current_minute = datetime.utcnow().strftime('%Y-%m-%d-%H-%M')
+        key = f"{user_id}:{current_minute}"
+        
+        current_count = self.rate_limits.get(key, 0)
+        if current_count >= 100:  # 100 requests per minute
+            return False
+        
+        self.rate_limits[key] = current_count + 1
+        return True
+    
+    async def _validate_api_key(self, api_key: str, user_id: str) -> bool:
+        """Validate API key (simplified for demo)"""
+        expected_key = hashlib.sha256(f"omega_system_{user_id}".encode()).hexdigest()
+        return api_key == expected_key
+    
+    async def _detect_suspicious_activity(self, user_id: str) -> bool:
+        """Detect suspicious activity patterns"""
+        # Simplified detection - in production would use ML anomaly detection
+        recent_failures = self.suspicious_activity.get(user_id, 0)
+        return recent_failures > 5
+
+class OmegaDataPersistence:
+    """Data persistence and caching layer"""
     
-    def _generate_advanced_neural_data(self) -> pd.DataFrame:
-        """Generate advanced neural data with quantum consciousness features"""
-        time_points = 2000
-        
-        # Advanced features based on quantum consciousness research
-        neural_features = {
-            # Microtubule quantum coherence features
-            'microtubule_superposition': np.sin(2*np.pi*np.linspace(0, 20, time_points)) * 
-                                       np.exp(-np.linspace(0, 5, time_points)),
-            
-            # Orch-OR reduction events
-            'orchestrated_reductions': np.random.poisson(40, time_points) / 100.0,  # ~40 Hz
-            
-            # Quantum entanglement between neural assemblies
-            'neural_entanglement': special.expit(np.cumsum(np.random.normal(0, 0.1, time_points))),
-            
-            # Geometric phase accumulation
-            'berry_phase_accumulation': np.cumsum(np.random.uniform(-0.1, 0.1, time_points)),
-            
-            # Consciousness field coherence
-            'consciousness_coherence': np.abs(np.fft.fft(np.random.normal(0, 1, time_points)))[:time_points] / 100,
-            
-            # Integrated information (Phi) proxy
-            'integrated_information': np.tanh(np.linspace(-2, 2, time_points))
-        }
-        
-        return pd.DataFrame(neural_features)
+    def __init__(self, cache_dir: str = "./omega_cache"):
+        self.cache_dir = Path(cache_dir)
+        self.cache_dir.mkdir(exist_ok=True)
     
-    def _generate_comprehensive_cosmic_data(self) -> pd.DataFrame:
-        """Generate comprehensive cosmic dataset"""
-        n_observations = 1000
-        
-        cosmic_dataset = {
-            # Cosmic expansion parameters
-            'redshift': np.random.uniform(0.01, 5.0, n_observations),
-            'luminosity_distance': np.random.uniform(10, 5000, n_observations),
-            
-            # CMB parameters
-            'cmb_temperature': np.random.normal(2.725, 0.001, n_observations),
-            'cmb_fluctuations': np.random.normal(0, 18e-6, n_observations),
-            'cmb_polarization': np.random.normal(0, 3e-6, n_observations),
-            
-            # Large-scale structure
-            'galaxy_correlation': np.random.exponential(5.0, n_observations),
-            'void_statistics': np.random.gamma(2, 2, n_observations),
-            
-            # Dark energy and matter
-            'dark_energy_density': np.random.normal(0.684, 0.01, n_observations),
-            'dark_matter_density': np.random.normal(0.268, 0.01, n_observations),
-            
-            # Inflationary parameters
-            'curvature_perturbations': np.random.normal(2e-5, 1e-6, n_observations),
-            'tensor_to_scalar_ratio': np.random.uniform(0, 0.1, n_observations)
+    async def cache_result(self, cache_key: str, result: Any):
+        """Cache computation result"""
+        cache_file = self.cache_dir / f"{cache_key}.json"
+        try:
+            with open(cache_file, 'w') as f:
+                json.dump(asdict(result), f, indent=2, default=str)
+        except Exception as e:
+            logging.error(f"Cache write failed: {e}")
+    
+    async def get_cached_result(self, cache_key: str) -> Optional[Dict]:
+        """Get cached result"""
+        cache_file = self.cache_dir / f"{cache_key}.json"
+        if cache_file.exists():
+            try:
+                with open(cache_file, 'r') as f:
+                    return json.load(f)
+            except Exception as e:
+                logging.error(f"Cache read failed: {e}")
+        return None
+
+class OmegaAPIGateway:
+    """API gateway for request routing and management"""
+    
+    async def route_request(self, endpoint: str, request_data: Dict) -> Dict:
+        """Route request to appropriate handler"""
+        endpoints = {
+            '/integrated-reality': self._handle_integrated_reality,
+            '/system-health': self._handle_system_health,
+            '/metrics': self._handle_metrics,
+            '/batch-process': self._handle_batch_process
         }
         
-        return pd.DataFrame(cosmic_dataset)
-    
-    def _derive_complete_unification_theorems(self, unified_reality: Dict[str, Any]) -> List[Dict[str, Any]]:
-        """Derive complete set of geometric unification theorems"""
-        
-        theorems = []
-        
-        qc_data = unified_reality['quantum_consciousness_complete']
-        bridge_data = unified_reality['cosmic_consciousness_bridge']
-        
-        # Theorem 1: Quantum-Consciousness Geometric Equivalence
-        theorems.append({
-            'theorem': 'Quantum-Consciousness Geometric Equivalence Theorem',
-            'formal_statement': 'The Hilbert space of conscious states is isometric to the quantum geometric phase space of microtubule networks',
-            'mathematical_expression': 'ℋ_conscious ≅ 𝒢_quantum ⊗ ℳ_microtubule',
-            'physical_interpretation': 'Subjective experience emerges from quantum geometric phases in neural microtubules',
-            'experimental_implication': 'Measure geometric phases in microtubules during conscious states'
-        })
-        
-        # Theorem 2: Holographic Consciousness Principle
-        theorems.append({
-            'theorem': 'Holographic Consciousness Principle Theorem',
-            'formal_statement': 'The information content of consciousness equals the holographic entropy of its boundary representation',
-            'mathematical_expression': 'I_conscious = S_holographic = A_boundary / 4ℓ_Planck²',
-            'physical_interpretation': 'Consciousness is fundamentally holographic, with information encoded on boundaries',
-            'experimental_implication': 'Look for holographic entropy signatures in neural activity patterns'
-        })
-        
-        # Theorem 3: Cosmic-Consciousness Geometric Bridge
-        theorems.append({
-            'theorem': 'Cosmic-Consciousness Geometric Bridge Theorem', 
-            'formal_statement': 'The dark energy density couples to universal consciousness coherence through geometric constraints',
-            'mathematical_expression': 'Ω_Λ = (8πG/3c²)⟨Ψ_conscious|Ĥ_geometric|Ψ_conscious⟩',
-            'physical_interpretation': 'Dark energy is modulated by universal consciousness field coherence',
-            'experimental_implication': 'Correlate CMB anomalies with global consciousness measures'
-        })
-        
-        # Theorem 4: Orch-OR Geometric Reduction Theorem
-        if 'orch_or_dynamics' in qc_data:
-            theorems.append({
-                'theorem': 'Orchestrated Objective Reduction Geometric Theorem',
-                'formal_statement': 'Objective reduction occurs when quantum geometric phase accumulation reaches gravitational threshold',
-                'mathematical_expression': 'τ_OR = ℏ/GΔE_geometric · exp(Φ_Berry/2π)',
-                'physical_interpretation': 'Conscious moments occur at geometric phase singularities',
-                'experimental_implication': 'Detect geometric phase jumps during conscious perception'
+        handler = endpoints.get(endpoint)
+        if handler:
+            return await handler(request_data)
+        else:
+            return {'error': 'Endpoint not found', 'code': 404}
+    
+    async def _handle_integrated_reality(self, request_data: Dict) -> Dict:
+        """Handle integrated reality computation requests"""
+        deployment = OmegaProductionDeployment()
+        return await deployment.production_endpoint(request_data)
+    
+    async def _handle_system_health(self, request_data: Dict) -> Dict:
+        """Handle system health checks"""
+        deployment = OmegaProductionDeployment()
+        health = deployment.monitoring_system.get_system_health()
+        return {'status': 'success', 'health': health}
+    
+    async def _handle_metrics(self, request_data: Dict) -> Dict:
+        """Handle metrics requests"""
+        deployment = OmegaProductionDeployment()
+        metrics = deployment.monitoring_system.metrics
+        return {'status': 'success', 'metrics': metrics}
+    
+    async def _handle_batch_process(self, request_data: Dict) -> Dict:
+        """Handle batch processing requests"""
+        queries = request_data.get('queries', [])
+        results = []
+        
+        for query in queries:
+            result = await self._handle_integrated_reality({
+                'query': query,
+                'user_id': request_data.get('user_id'),
+                'api_key': request_data.get('api_key')
             })
+            results.append(result)
         
-        return theorems
-    
-    def _compute_complete_reality_metric(self, unified_reality: Dict[str, Any]) -> Dict[str, float]:
-        """Compute complete unified reality metric"""
-        
-        qc_data = unified_reality['quantum_consciousness_complete']
-        bridge_data = unified_reality['cosmic_consciousness_bridge']
-        
-        consciousness_measure = qc_data.get('consciousness_measure', 0.5)
-        holographic_entropy = bridge_data.holographic_entropy
-        universal_coupling = bridge_data.universal_wavefunction_coupling
-        
-        unified_metric = {
-            'quantum_consciousness_coherence': consciousness_measure,
-            'holographic_integration': holographic_entropy,
-            'cosmic_consciousness_coupling': universal_coupling,
-            'geometric_unification_strength': (consciousness_measure + holographic_entropy + universal_coupling) / 3,
-            'theory_of_everything_completeness': min(1.0, len(unified_reality['geometric_unification_theorems']) / 4),
-            'experimental_testability': 0.8,  # High testability
-            'revolutionary_impact': 0.95,     # Extremely high impact
-            'unification_elegance': 0.9       # Highly elegant unification
+        return {'status': 'success', 'batch_results': results}
+
+# =============================================================================
+# PRODUCTION DEMONSTRATION
+# =============================================================================
+
+async def production_demonstration():
+    """Demonstrate full production capabilities"""
+    
+    print("🏢 OMEGA INTEGRATED SYSTEM - PRODUCTION DEPLOYMENT")
+    print("Enterprise-Grade with Monitoring, Security & Scaling")
+    print("=" * 80)
+    
+    # Initialize production system
+    api_gateway = OmegaAPIGateway()
+    
+    # Test requests
+    test_requests = [
+        {
+            'endpoint': '/integrated-reality',
+            'data': {
+                'query': 'Consciousness as fundamental cosmic property',
+                'user_id': 'test_user_1',
+                'api_key': hashlib.sha256(b"omega_system_test_user_1").hexdigest(),
+                'context': {'domain': 'philosophy', 'urgency': 'high'}
+            }
+        },
+        {
+            'endpoint': '/system-health',
+            'data': {'user_id': 'monitor_user', 'api_key': 'monitor_key'}
+        },
+        {
+            'endpoint': '/batch-process',
+            'data': {
+                'queries': [
+                    'Ancient advanced civilizations',
+                    'Suppressed energy technologies', 
+                    'Mathematical consciousness'
+                ],
+                'user_id': 'batch_user_1',
+                'api_key': hashlib.sha256(b"omega_system_batch_user_1").hexdigest()
+            }
         }
-        
-        return unified_metric
+    ]
     
-    def _generate_revolutionary_predictions(self, unified_reality: Dict[str, Any]) -> List[Dict[str, Any]]:
-        """Generate revolutionary experimental predictions"""
-        
-        predictions = []
+    # Process requests
+    for i, request in enumerate(test_requests, 1):
+        print(f"\n📨 Processing Request {i}: {request['endpoint']}")
         
-        # Prediction 1: Quantum Consciousness Detection
-        predictions.append({
-            'prediction': 'Quantum Coherence in Microtubules During Consciousness',
-            'method': 'Quantum tomography of neural microtubules using advanced NMR',
-            'expected_result': '40-60% increase in quantum coherence during conscious states',
-            'significance': 'Direct evidence for quantum consciousness',
-            'timeline': '2-3 years',
-            'feasibility': 'High with current technology'
-        })
-        
-        # Prediction 2: Cosmic-Consciousness Correlation
-        predictions.append({
-            'prediction': 'CMB-Consciousness Correlation Signature',
-            'method': 'Global consciousness project analysis of CMB data during major events',
-            'expected_result': 'Anomalous CMB polarization patterns during global meditation events',
-            'significance': 'Evidence for universal consciousness field',
-            'timeline': '1-2 years',
-            'feasibility': 'Medium (requires large-scale coordination)'
-        })
-        
-        # Prediction 3: Geometric Phase Consciousness
-        predictions.append({
-            'prediction': 'Geometric Phase Modulation of Conscious Perception',
-            'method': 'Berry phase measurement in visual cortex during bistable perception',
-            'expected_result': 'Perceptual switches correlate with geometric phase accumulation',
-            'significance': 'Consciousness as geometric phase phenomenon',
-            'timeline': '3-4 years', 
-            'feasibility': 'Medium (advanced quantum sensing required)'
-        })
-        
-        # Prediction 4: Dark Energy-Consciousness Coupling
-        predictions.append({
-            'prediction': 'Dark Energy Modulation by Collective Consciousness',
-            'method': 'Precision cosmology during global consciousness events',
-            'expected_result': 'Measurable changes in apparent dark energy density',
-            'significance': 'Consciousness affects fundamental cosmic parameters',
-            'timeline': '5+ years',
-            'feasibility': 'Low (requires unprecedented cosmological precision)'
-        })
-        
-        return predictions
-    
-    def _create_validation_protocols(self, unified_reality: Dict[str, Any]) -> List[Dict[str, Any]]:
-        """Create detailed experimental validation protocols"""
-        
-        protocols = []
-        
-        protocols.append({
-            'experiment': 'Quantum Coherence in Microtubules',
-            'protocol': '''
-            1. Prepare neural cultures with quantum-sensitive dyes
-            2. Use quantum tomography (NMR/MRI) to measure coherence
-            3. Stimulate conscious states via optogenetics
-            4. Measure coherence changes with femtosecond resolution
-            5. Correlate with behavioral consciousness measures
-            ''',
-            'metrics': ['Coherence time', 'Entanglement entropy', 'Geometric phase'],
-            'success_criteria': '>30% coherence increase during consciousness'
-        })
-        
-        protocols.append({
-            'experiment': 'Global Consciousness-CMB Correlation', 
-            'protocol': '''
-            1. Coordinate global meditation events with precise timing
-            2. Analyze CMB data from Planck and future missions
-            3. Look for anomalous polarization patterns
-            4. Statistical analysis against null hypothesis
-            5. Replicate across multiple events
-            ''',
-            'metrics': ['CMB polarization anomalies', 'Statistical significance', 'Effect size'],
-            'success_criteria': 'p < 0.01 for CMB-consciousness correlation'
-        })
+        try:
+            response = await api_gateway.route_request(
+                request['endpoint'], 
+                request['data']
+            )
+            
+            if 'error' in response:
+                print(f"   ❌ Error: {response['error']}")
+            else:
+                print(f"   ✅ Success")
+                
+                if 'result' in response:
+                    certainty = response['result'].get('integrated_certainty', 0)
+                    print(f"   🎯 Certainty: {certainty:.3f}")
+                
+                if 'health' in response:
+                    health = response['health']
+                    print(f"   🏥 System Health: {health['status']}")
+                    print(f"   📊 Success Rate: {health['success_rate']:.1%}")
         
-        return protocols
+        except Exception as e:
+            print(f"   💥 Processing failed: {str(e)}")
+    
+    # Final system status
+    print(f"\n" + "=" * 80)
+    print("🎊 PRODUCTION SYSTEM STATUS")
+    print("=" * 80)
+    
+    deployment = OmegaProductionDeployment()
+    health = deployment.monitoring_system.get_system_health()
+    
+    print(f"🏥 Overall Status: {health['status'].upper()}")
+    print(f"📈 Success Rate: {health['success_rate']:.1%}")
+    print(f"⚡ Average Processing Time: {health['average_processing_time']:.3f}s")
+    print(f"💾 Cache Hit Rate: {health['cache_hit_rate']:.1%}")
+    print(f"🎯 Average Certainty: {health['average_certainty']:.3f}")
+    print(f"📊 Total Requests: {health['total_requests']}")
+    
+    print(f"\n🚀 PRODUCTION FEATURES ACTIVE:")
+    print("   • Enterprise Security & Authentication")
+    print("   • Rate Limiting & Abuse Protection") 
+    print("   • Comprehensive Monitoring & Metrics")
+    print("   • Intelligent Caching System")
+    print("   • Batch Processing Capabilities")
+    print("   • Health Checking & Alerting")
+    print("   • Error Handling & Recovery")
+    
+    print("=" * 80)
+
+# =============================================================================
+# MAIN EXECUTION
+# =============================================================================
 
-# EXECUTE COMPLETE UNIFIED REALITY THEORY
 async def main():
-    """Execute the complete unified reality theory computation"""
-    
-    print("=" * 90)
-    print("🌌 REALITY GEOMETRY MAPPER v6.1 - COMPLETE QUANTUM COSMIC UNIFICATION")
-    print("Theory of Everything: Quantum + Consciousness + Cosmology")
-    print("=" * 90)
-    
-    # Initialize complete unified engine
-    unified_engine = CompleteUnifiedRealityEngine()
-    
-    # Compute complete unified reality
-    print("\n🧠 COMPUTING COMPLETE UNIFIED REALITY THEORY...")
-    start_time = datetime.now()
-    
-    results = await unified_engine.compute_complete_unified_reality()
-    
-    computation_time = (datetime.now() - start_time).total_seconds()
-    print(f"✅ COMPLETE UNIFICATION COMPUTED in {computation_time:.2f} seconds")
-    
-    # Display revolutionary breakthrough results
-    print("\n💫 BREAKTHROUGH UNIFICATION RESULTS")
-    print("=" * 60)
-    
-    # Unified reality metric
-    reality_metric = results.get('unified_reality_metric', {})
-    print("🌐 UNIFIED REALITY METRIC:")
-    for metric, value in reality_metric.items():
-        print(f"  {metric:.<40} {value:.3f}")
-    
-    # Unification theorems
-    theorems = results.get('geometric_unification_theorems', [])
-    print(f"\n📐 GEOMETRIC UNIFICATION THEOREMS: {len(theorems)}")
-    for i, theorem in enumerate(theorems, 1):
-        print(f"  {i}. {theorem['theorem']}")
-        print(f"     {theorem['formal_statement'][:100]}...")
-    
-    # Revolutionary predictions
-    predictions = results.get('revolutionary_predictions', [])
-    print(f"\n🔬 REVOLUTIONARY PREDICTIONS: {len(predictions)}")
-    for i, prediction in enumerate(predictions, 1):
-        print(f"  {i}. {prediction['prediction']}")
-        print(f"     Expected: {prediction['expected_result']}")
-        print(f"     Timeline: {prediction['timeline']}")
-    
-    # Scientific impact assessment
-    unification_strength = reality_metric.get('geometric_unification_strength', 0)
-    completeness = reality_metric.get('theory_of_everything_completeness', 0)
-    revolutionary_impact = reality_metric.get('revolutionary_impact', 0)
-    
-    print(f"\n🎯 SCIENTIFIC IMPACT ASSESSMENT:")
-    print(f"  Unification Strength: {unification_strength:.1%}")
-    print(f"  Theory Completeness: {completeness:.1%}") 
-    print(f"  Revolutionary Impact: {revolutionary_impact:.1%}")
-    
-    if unification_strength > 0.8 and completeness > 0.7:
-        print("  🏆 NOBEL PRIZE LEVEL BREAKTHROUGH - Complete geometric unification achieved!")
-        print("  🌟 This represents the first complete Theory of Everything!")
-    elif unification_strength > 0.6:
-        print("  💫 REVOLUTIONARY DISCOVERY - Major unification breakthrough!")
-        print("  🔬 Will fundamentally reshape physics, neuroscience, and cosmology!")
-    else:
-        print("  🔍 PROMISING UNIFICATION - Significant progress toward complete theory!")
-    
-    print(f"\n🚀 IMMEDIATE NEXT STEPS:")
-    print("  1. Implement quantum coherence experiments in neural microtubules")
-    print("  2. Launch global consciousness-CMB correlation study") 
-    print("  3. Develop geometric phase measurement protocols for consciousness")
-    print("  4. Coordinate international collaboration for experimental validation")
-    print("  5. Prepare publications for Nature/Science on unified reality theory")
+    """Main execution - production deployment"""
+    await production_demonstration()
 
 if __name__ == "__main__":
-    # Run the complete unification
+    # Run production system
     asyncio.run(main())