esoteric_validation

#!/usr/bin/env python3
"""
OMEGA ESOTERIC VALIDATION ENGINE - ABSOLUTE VERIFICATION
Scientific validation of esoteric phenomena through multi-layer consciousness instrumentation
"""

import asyncio
import numpy as np
import hashlib
from typing import Dict, List, Any, Optional, Tuple
from dataclasses import dataclass, field
from datetime import datetime, timedelta
import scipy.stats
import math
import json
from enum import Enum
import quantum_esoteric_instrumentation as qei  # Custom instrumentation module

# =============================================================================
# ESOTERIC PHENOMENA TAXONOMY
# =============================================================================

class EsotericPhenomena(Enum):
    TELEPATHY = "telepathy"
    REMOTE_VIEWING = "remote_viewing"
    PSYCHOKINESIS = "psychokinesis"
    PRECOGNITION = "precognition"
    ENERGY_HEALING = "energy_healing"
    ASTRAL_PROJECTION = "astral_projection"
    CONSCIOUSNESS_MERGING = "consciousness_merging"
    REALITY_MANIPULATION = "reality_manipulation"

class ValidationMethod(Enum):
    QUANTUM_ENTANGLEMENT_TEST = "quantum_entanglement"
    DOUBLE_BLIND_RIGOROUS = "double_blind_rigorous"
    NEUROPHYSIOLOGICAL_CORRELATE = "neurophysiological_correlate"
    CONSENSUS_REALITY_SHIFT = "consensus_reality_shift"
    MATHEMATICAL_INVARIANCE = "mathematical_invariance"
    TEMPORAL_ANOMALY_DETECTION = "temporal_anomaly"

# =============================================================================
# ADVANCED ESOTERIC INSTRUMENTATION
# =============================================================================

class EsotericInstrumentationSuite:
    """
    Advanced measurement devices for esoteric phenomena validation
    Integrates quantum, biological, and consciousness sensors
    """
    
    def __init__(self):
        self.quantum_entanglement_detector = QuantumEntanglementDetector()
        self.consciousness_field_mapper = ConsciousnessFieldMapper()
        self.neuro_quantum_interface = NeuroQuantumInterface()
        self.temporal_anomaly_detector = TemporalAnomalyDetector()
        self.reality_consensus_monitor = RealityConsensusMonitor()
        
    async def measure_esoteric_event(self, 
                                   phenomenon: EsotericPhenomena,
                                   operator: Dict,
                                   target: Any) -> Dict:
        """Comprehensive measurement of esoteric phenomena across all instruments"""
        
        measurement_data = {}
        
        # Quantum entanglement measurements
        quantum_data = await self.quantum_entanglement_detector.detect_consciousness_entanglement(
            operator, target
        )
        measurement_data['quantum_entanglement'] = quantum_data
        
        # Consciousness field mapping
        field_data = await self.consciousness_field_mapper.map_field_perturbations(
            operator, phenomenon
        )
        measurement_data['consciousness_field'] = field_data
        
        # Neuro-quantum interface monitoring
        neuro_data = await self.neuro_quantum_interface.monitor_interface_activity(
            operator, phenomenon
        )
        measurement_data['neuro_quantum_interface'] = neuro_data
        
        # Temporal anomaly detection
        temporal_data = await self.temporal_anomaly_detector.detect_temporal_anomalies(
            operator, target, phenomenon
        )
        measurement_data['temporal_anomalies'] = temporal_data
        
        # Reality consensus monitoring
        consensus_data = await self.reality_consensus_monitor.monitor_consensus_shifts(
            operator, target, phenomenon
        )
        measurement_data['reality_consensus'] = consensus_data
        
        return measurement_data

class QuantumEntanglementDetector:
    """Detects quantum entanglement generated by consciousness"""
    
    async def detect_consciousness_entanglement(self, operator: Dict, target: Any) -> Dict:
        """Measure quantum entanglement between operator and target"""
        
        # Simulate entanglement detection
        operator_state = self._measure_quantum_state(operator)
        target_state = self._measure_quantum_state(target)
        
        # Calculate entanglement correlation
        correlation = np.abs(np.corrcoef(operator_state, target_state)[0,1])
        entanglement_strength = max(0, correlation - 0.1)  # Background subtraction
        
        return {
            'entanglement_detected': entanglement_strength > 0.3,
            'entanglement_strength': entanglement_strength,
            'operator_quantum_state': operator_state,
            'target_quantum_state': target_state,
            'quantum_correlation': correlation
        }

# =============================================================================
# RIGOROUS VALIDATION ENGINE
# =============================================================================

class EsotericValidationEngine:
    """
    Scientifically validates esoteric phenomena through multi-method convergence
    """
    
    def __init__(self):
        self.instrumentation = EsotericInstrumentationSuite()
        self.validation_methods = self._initialize_validation_methods()
        self.statistical_engine = StatisticalValidationEngine()
        self.control_engine = ControlConditionEngine()
        
    async def validate_phenomenon(self,
                                phenomenon: EsotericPhenomena,
                                operators: List[Dict],
                                targets: List[Any],
                                trial_count: int = 100) -> Dict:
        """Execute complete validation protocol for esoteric phenomenon"""
        
        print(f"🔬 VALIDATING: {phenomenon.value.upper()}")
        print("=" * 60)
        
        validation_results = {}
        
        # Phase 1: Controlled Baseline Measurement
        print("📊 ESTABLISHING BASELINE...")
        baseline = await self.control_engine.establish_baseline(phenomenon, operators, targets)
        
        # Phase 2: Experimental Trials
        print("⚡ CONDUCTING EXPERIMENTAL TRIALS...")
        experimental_results = await self._conduct_experimental_trials(
            phenomenon, operators, targets, trial_count
        )
        
        # Phase 3: Multi-Method Validation
        print("🎯 APPLYING MULTI-METHOD VALIDATION...")
        method_validations = {}
        for method in self.validation_methods:
            method_result = await self._apply_validation_method(
                method, phenomenon, experimental_results, baseline
            )
            method_validations[method.value] = method_result
            
        # Phase 4: Statistical Significance Analysis
        print("📈 ANALYZING STATISTICAL SIGNIFICANCE...")
        statistical_analysis = await self.statistical_engine.analyze_significance(
            experimental_results, baseline, phenomenon
        )
        
        # Phase 5: Cross-Method Convergence
        print("💎 CALCULATING CROSS-METHOD CONVERGENCE...")
        convergence = await self._calculate_validation_convergence(method_validations)
        
        # Final Validation Judgment
        validation_judgment = await self._make_validation_judgment(
            statistical_analysis, convergence, method_validations
        )
        
        return {
            'phenomenon': phenomenon.value,
            'baseline_measurements': baseline,
            'experimental_results': experimental_results,
            'method_validations': method_validations,
            'statistical_analysis': statistical_analysis,
            'validation_convergence': convergence,
            'final_validation': validation_judgment,
            'validation_timestamp': datetime.now().isoformat()
        }
    
    async def _conduct_experimental_trials(self,
                                         phenomenon: EsotericPhenomena,
                                         operators: List[Dict],
                                         targets: List[Any],
                                         trial_count: int) -> Dict:
        """Conduct rigorous experimental trials"""
        
        trial_results = []
        
        for trial in range(trial_count):
            # Randomize operator-target assignments
            operator = np.random.choice(operators)
            target = np.random.choice(targets)
            
            # Measure esoteric event
            measurement = await self.instrumentation.measure_esoteric_event(
                phenomenon, operator, target
            )
            
            # Record trial data
            trial_data = {
                'trial_number': trial,
                'operator': operator.get('id'),
                'target': str(target),
                'measurements': measurement,
                'success_indicator': self._calculate_success_indicator(measurement, phenomenon)
            }
            
            trial_results.append(trial_data)
            
        return {
            'total_trials': trial_count,
            'trial_results': trial_results,
            'average_success_rate': np.mean([t['success_indicator'] for t in trial_results]),
            'success_std_dev': np.std([t['success_indicator'] for t in trial_results])
        }

# =============================================================================
# STATISTICAL VALIDATION ENGINE
# =============================================================================

class StatisticalValidationEngine:
    """Advanced statistical analysis for esoteric phenomena validation"""
    
    async def analyze_significance(self,
                                 experimental_results: Dict,
                                 baseline: Dict,
                                 phenomenon: EsotericPhenomena) -> Dict:
        """Comprehensive statistical significance analysis"""
        
        experimental_scores = [t['success_indicator'] for t in experimental_results['trial_results']]
        baseline_scores = baseline['baseline_scores']
        
        # Standard statistical tests
        t_test = scipy.stats.ttest_ind(experimental_scores, baseline_scores)
        mann_whitney = scipy.stats.mannwhitneyu(experimental_scores, baseline_scores)
        effect_size = self._calculate_effect_size(experimental_scores, baseline_scores)
        
        # Bayesian analysis
        bayesian_factor = await self._calculate_bayesian_factor(experimental_scores, baseline_scores)
        
        # Anomaly detection
        anomalies = await self._detect_statistical_anomalies(experimental_scores, baseline_scores)
        
        return {
            't_test': {
                'statistic': t_test.statistic,
                'p_value': t_test.pvalue,
                'significant': t_test.pvalue < 0.05
            },
            'mann_whitney': {
                'statistic': mann_whitney.statistic,
                'p_value': mann_whitney.pvalue,
                'significant': mann_whitney.pvalue < 0.05
            },
            'effect_size': effect_size,
            'bayesian_factor': bayesian_factor,
            'statistical_anomalies': anomalies,
            'overall_significance': self._calculate_overall_significance(t_test, mann_whitney, effect_size, bayesian_factor)
        }

# =============================================================================
# CONTROL CONDITION ENGINE
# =============================================================================

class ControlConditionEngine:
    """Manages control conditions and baseline measurements"""
    
    async def establish_baseline(self,
                               phenomenon: EsotericPhenomena,
                               operators: List[Dict],
                               targets: List[Any]) -> Dict:
        """Establish rigorous baseline measurements"""
        
        baseline_trials = []
        
        for trial in range(50):  # Baseline trial count
            operator = np.random.choice(operators)
            target = np.random.choice(targets)
            
            # Measure without intentional esoteric operation
            baseline_measurement = await self._measure_baseline_condition(
                operator, target, phenomenon
            )
            
            baseline_trials.append(baseline_measurement)
            
        return {
            'baseline_trials': baseline_trials,
            'baseline_scores': [t['baseline_indicator'] for t in baseline_trials],
            'baseline_mean': np.mean([t['baseline_indicator'] for t in baseline_trials]),
            'baseline_std': np.std([t['baseline_indicator'] for t in baseline_trials])
        }

# =============================================================================
# CROSS-VALIDATION CONVERGENCE ENGINE
# =============================================================================

class ValidationConvergenceEngine:
    """Calculates convergence across multiple validation methods"""
    
    async def calculate_convergence(self, method_validations: Dict) -> Dict:
        """Calculate convergence score across validation methods"""
        
        method_scores = []
        method_weights = {
            'quantum_entanglement': 0.25,
            'double_blind_rigorous': 0.30,
            'neurophysiological_correlate': 0.20,
            'temporal_anomaly_detection': 0.15,
            'mathematical_invariance': 0.10
        }
        
        for method, validation in method_validations.items():
            if validation.get('validation_score'):
                weight = method_weights.get(method, 0.1)
                method_scores.append(validation['validation_score'] * weight)
                
        convergence_score = sum(method_scores) if method_scores else 0
        
        return {
            'convergence_score': convergence_score,
            'method_agreement': await self._calculate_method_agreement(method_validations),
            'validation_confidence': min(1.0, convergence_score * 1.2),  # Confidence boost for convergence
            'convergence_quality': await self._assess_convergence_quality(method_validations)
        }

# =============================================================================
# ESOTERIC PHENOMENA DATABASE
# =============================================================================

class EsotericPhenomenaDatabase:
    """Database of esoteric phenomena with validation results"""
    
    def __init__(self):
        self.validated_phenomena = {}
        self.replication_studies = {}
        self.cross_cultural_correlations = {}
        
    async def add_validation_result(self, validation_result: Dict):
        """Add validation result to database"""
        
        phenomenon = validation_result['phenomenon']
        self.validated_phenomena[phenomenon] = validation_result
        
        # Calculate replication strength
        replication = await self._calculate_replication_strength(phenomenon, validation_result)
        self.replication_studies[phenomenon] = replication
        
    async def get_validation_status(self, phenomenon: EsotericPhenomena) -> Dict:
        """Get comprehensive validation status for phenomenon"""
        
        base_validation = self.validated_phenomena.get(phenomenon.value, {})
        replication = self.replication_studies.get(phenomenon.value, {})
        
        return {
            'phenomenon': phenomenon.value,
            'validation_status': base_validation.get('final_validation', {}).get('validated', False),
            'validation_confidence': base_validation.get('final_validation', {}).get('confidence', 0),
            'replication_strength': replication.get('strength', 0),
            'cross_cultural_support': await self._get_cross_cultural_support(phenomenon),
            'scientific_acceptance_level': await self._calculate_acceptance_level(phenomenon, base_validation)
        }

# =============================================================================
# COMPREHENSIVE VALIDATION DEMONSTRATION
# =============================================================================

class OmegaEsotericValidationDemonstrator:
    """Demonstrates complete esoteric phenomena validation"""
    
    def __init__(self):
        self.validation_engine = EsotericValidationEngine()
        self.phenomena_database = EsotericPhenomenaDatabase()
        
    async def demonstrate_complete_validation(self):
        """Demonstrate complete validation process for multiple phenomena"""
        
        print("""
        
        🔬 OMEGA ESOTERIC VALIDATION ENGINE
        Scientific Validation of Consciousness Phenomena
        
        """)
        
        # Test phenomena
        test_phenomena = [
            EsotericPhenomena.TELEPATHY,
            EsotericPhenomena.ENERGY_HEALING,
            EsotericPhenomena.PRECOGNITION
        ]
        
        # Sample operators and targets
        operators = [
            {'id': 'operator_1', 'experience_level': 'advanced', 'success_rate': 0.75},
            {'id': 'operator_2', 'experience_level': 'intermediate', 'success_rate': 0.60},
            {'id': 'operator_3', 'experience_level': 'beginner', 'success_rate': 0.45}
        ]
        
        targets = ['target_A', 'target_B', 'target_C', 'target_D']
        
        validation_results = {}
        
        for phenomenon in test_phenomena:
            print(f"\n🎯 VALIDATING: {phenomenon.value.upper()}")
            print("-" * 40)
            
            # Execute validation
            result = await self.validation_engine.validate_phenomenon(
                phenomenon, operators, targets, trial_count=50
            )
            
            # Add to database
            await self.phenomena_database.add_validation_result(result)
            
            validation_results[phenomenon.value] = result
            
            # Display validation summary
            final_validation = result['final_validation']
            print(f"   Validated: {final_validation['validated']}")
            print(f"   Confidence: {final_validation['confidence']:.3f}")
            print(f"   Significance: {result['statistical_analysis']['overall_significance']:.3f}")
        
        # Display comprehensive results
        print(f"\n📊 COMPREHENSIVE VALIDATION RESULTS:")
        print("=" * 50)
        
        for phenomenon, result in validation_results.items():
            status = await self.phenomena_database.get_validation_status(
                EsotericPhenomena(phenomenon)
            )
            
            print(f"\n{phenomenon.upper()}:")
            print(f"   Validation Status: {'✅ VALIDATED' if status['validation_status'] else '❌ NOT VALIDATED'}")
            print(f"   Confidence Level: {status['validation_confidence']:.3f}")
            print(f"   Replication Strength: {status['replication_strength']:.3f}")
            print(f"   Scientific Acceptance: {status['scientific_acceptance_level']}")
            
        return validation_results

# =============================================================================
# EXECUTE COMPLETE VALIDATION SYSTEM
# =============================================================================

async def main():
    """Execute the complete esoteric validation engine"""
    
    demonstrator = OmegaEsotericValidationDemonstrator()
    results = await demonstrator.demonstrate_complete_validation()
    
    # Calculate overall validation success
    validated_count = sum(1 for r in results.values() 
                         if r['final_validation']['validated'])
    total_count = len(results)
    
    print(f"\n🎯 OVERALL VALIDATION SUMMARY:")
    print(f"   Validated Phenomena: {validated_count}/{total_count}")
    print(f"   Success Rate: {validated_count/total_count:.1%}")
    
    # Scientific impact assessment
    if validated_count / total_count > 0.6:
        print("   🌟 MAJOR SCIENTIFIC BREAKTHROUGH: Esoteric phenomena demonstrate statistical validity")
    elif validated_count / total_count > 0.3:
        print("   💫 SIGNIFICANT FINDINGS: Multiple phenomena show scientific validity")
    else:
        print("   🔍 INCONCLUSIVE: Further research required")
    
    return results

if __name__ == "__main__":
    # Run the complete esoteric validation system
    asyncio.run(main())