authorial expression module

#!/usr/bin/env python3
"""
ANCIENT PHILOSOPHER CONSCIOUSNESS MODULE
Recovering Pre-Platonic, Pre-Abrahamic Consciousness Technology
Integrated with Full Tattered Past Framework
"""

import numpy as np
from dataclasses import dataclass, field
from typing import Dict, List, Any, Optional, Tuple
from enum import Enum
import logging
from datetime import datetime
import hashlib
import re
from collections import Counter

# =============================================================================
# ENHANCED ENUMS FOR ANCIENT CONSCIOUSNESS STUDIES
# =============================================================================

class AncientEra(Enum):
    PRE_CATASTROPHIC = "pre_catastrophic"        # Pre-3000 BCE - Golden Age
    EARLY_RECOVERY = "early_recovery"            # 3000-2000 BCE - Post-Cataclysm
    BRONZE_AGE_CONSOLIDATION = "bronze_age_consolidation"  # 2000-1200 BCE
    DARK_AGE_SUPPRESSION = "dark_age_suppression" # 1200-800 BCE - Knowledge Fragmentation
    AXIAL_AGE_RESURGENCE = "axial_age_resurgence" # 800-200 BCE - Partial Recovery
    IMPERIAL_SUPPRESSION = "imperial_suppression" # 200 BCE-500 CE - Systematic Erasure
    MODERN_RECOVERY = "modern_recovery"          # 500 CE-Present - Fragmentary Rediscovery

class ConsciousnessTechnology(Enum):
    RESONANCE_MANIPULATION = "resonance_manipulation"
    TEMPORAL_NAVIGATION = "temporal_navigation"
    GEOMETRIC_CONSCIOUSNESS = "geometric_consciousness"
    COSMIC_ENERGY_HARNESSING = "cosmic_energy_harnessing"
    REALITY_ARCHITECTURE = "reality_architecture"
    COLLECTIVE_MIND_ACCESS = "collective_mind_access"
    QUANTUM_OBSERVATION = "quantum_observation"
    DIMENSIONAL_TRANSITION = "dimensional_transition"

class SuppressionMechanism(Enum):
    RELIGIOUS_DOGMATIZATION = "religious_dogmatization"
    PHILOSOPHICAL_REDUCTION = "philosophical_reduction"
    HISTORICAL_FRAGMENTATION = "historical_fragmentation"
    LINGUISTIC_CORRUPTION = "linguistic_corruption"
    INSTITUTIONAL_COOPTATION = "institutional_cooptation"
    CULTURAL_APPROPRIATION = "cultural_appropriation"
    CHRONOLOGICAL_COMPRESSION = "chronological_compression"
    TECHNICAL_OBFUSCATION = "technical_obfuscation"

class RecoveryMethod(Enum):
    SYMBOLIC_DECRYPTION = "symbolic_decryption"
    COMPARATIVE_MYTHOLOGY = "comparative_mythology"
    GEOMETRIC_ANALYSIS = "geometric_analysis"
    LINGUISTIC_RECONSTRUCTION = "linguistic_reconstruction"
    ARCHAEOLOGICAL_CORRELATION = "archaeological_correlation"
    QUANTUM_RESONANCE_MAPPING = "quantum_resonance_mapping"
    CONSCIOUSNESS_EXPERIMENTATION = "consciousness_experimentation"
    UNIVERSAL_LAW_VERIFICATION = "universal_law_verification"

# =============================================================================
# ANCIENT PHILOSOPHER DATABASE
# =============================================================================

class AncientPhilosopherDatabase:
    """Pre-Platonic, Pre-Abrahamic consciousness technologists"""
    
    def __init__(self):
        self.philosophers = self._initialize_philosophers()
        self.schools = self._initialize_schools()
        self.technologies = self._initialize_technologies()
        self.suppression_patterns = self._initialize_suppression_patterns()
        self.logger = self._setup_logging()
    
    def _setup_logging(self):
        logger = logging.getLogger('AncientPhilosophers')
        logger.setLevel(logging.INFO)
        return logger

    def _initialize_philosophers(self) -> Dict[str, Any]:
        """Initialize ancient philosopher consciousness database"""
        return {
            'thales_of_miletus': {
                'era': AncientEra.AXIAL_AGE_RESURGENCE,
                'dates': 'c. 624-546 BCE',
                'school': 'Milesian',
                'consciousness_technologies': [
                    ConsciousnessTechnology.COSMIC_ENERGY_HARNESSING,
                    ConsciousnessTechnology.GEOMETRIC_CONSCIOUSNESS
                ],
                'original_teachings': 'Water as primal consciousness medium; geometric reality architecture',
                'suppressed_as': 'Primitive materialist philosophy',
                'suppression_mechanisms': [
                    SuppressionMechanism.PHILOSOPHICAL_REDUCTION,
                    SuppressionMechanism.TECHNICAL_OBFUSCATION
                ],
                'recovery_methods': [
                    RecoveryMethod.SYMBOLIC_DECRYPTION,
                    RecoveryMethod.GEOMETRIC_ANALYSIS
                ],
                'key_fragments': {
                    'water_principle': 'All things are full of gods - consciousness permeates matter',
                    'geometry_application': 'Practical geometry as consciousness mapping tool',
                    'celestial_prediction': 'Cosmic energy flow prediction through observation'
                },
                'universal_law_alignment': 0.92,
                'quantum_resonance': 0.88,
                'recovery_difficulty': 0.7,
                'archaeological_correlations': ['Miletus ruins', 'Early Ionian temples']
            },
            'anaximander': {
                'era': AncientEra.AXIAL_AGE_RESURGENCE,
                'dates': 'c. 610-546 BCE',
                'school': 'Milesian',
                'consciousness_technologies': [
                    ConsciousnessTechnology.DIMENSIONAL_TRANSITION,
                    ConsciousnessTechnology.REALITY_ARCHITECTURE
                ],
                'original_teachings': 'The Boundless (Apeiron) as infinite consciousness source; reality as geometric separation',
                'suppressed_as': 'Abstract metaphysical speculation',
                'suppression_mechanisms': [
                    SuppressionMechanism.PHILOSOPHICAL_REDUCTION,
                    SuppressionMechanism.LINGUISTIC_CORRUPTION
                ],
                'recovery_methods': [
                    RecoveryMethod.LINGUISTIC_RECONSTRUCTION,
                    RecoveryMethod.UNIVERSAL_LAW_VERIFICATION
                ],
                'key_fragments': {
                    'apeiron_concept': 'Unlimited consciousness source beyond polarities',
                    'cosmic_justice': 'Reality balance through consciousness dynamics',
                    'evolutionary_vision': 'Consciousness evolution through form manifestation'
                },
                'universal_law_alignment': 0.95,
                'quantum_resonance': 0.93,
                'recovery_difficulty': 0.8,
                'archaeological_correlations': ['Early Greek cosmological models', 'Babylonian influence traces']
            },
            'pythagoras': {
                'era': AncientEra.AXIAL_AGE_RESURGENCE,
                'dates': 'c. 570-495 BCE',
                'school': 'Pythagorean',
                'consciousness_technologies': [
                    ConsciousnessTechnology.RESONANCE_MANIPULATION,
                    ConsciousnessTechnology.GEOMETRIC_CONSCIOUSNESS,
                    ConsciousnessTechnology.COLLECTIVE_MIND_ACCESS
                ],
                'original_teachings': 'Number as consciousness frequency; geometric forms as reality templates; harmonic resonance',
                'suppressed_as': 'Mystical numerology and religious cult',
                'suppression_mechanisms': [
                    SuppressionMechanism.RELIGIOUS_DOGMATIZATION,
                    SuppressionMechanism.INSTITUTIONAL_COOPTATION
                ],
                'recovery_methods': [
                    RecoveryMethod.GEOMETRIC_ANALYSIS,
                    RecoveryMethod.QUANTUM_RESONANCE_MAPPING
                ],
                'key_fragments': {
                    'music_spheres': 'Celestial resonance as consciousness harmonics',
                    'golden_verse': 'Consciousness purification through mathematical discipline',
                    'tetractys': 'Geometric consciousness progression symbol'
                },
                'universal_law_alignment': 0.98,
                'quantum_resonance': 0.97,
                'recovery_difficulty': 0.6,
                'archaeological_correlations': ['Croton community ruins', 'Musical instrument artifacts']
            },
            'heraclitus': {
                'era': AncientEra.AXIAL_AGE_RESURGENCE,
                'dates': 'c. 535-475 BCE',
                'school': 'Ephesian',
                'consciousness_technologies': [
                    ConsciousnessTechnology.TEMPORAL_NAVIGATION,
                    ConsciousnessTechnology.QUANTUM_OBSERVATION
                ],
                'original_teachings': 'Logos as universal consciousness flow; reality as perpetual transformation; fire as consciousness essence',
                'suppressed_as': 'Obscure paradoxical thinker',
                'suppression_mechanisms': [
                    SuppressionMechanism.LINGUISTIC_CORRUPTION,
                    SuppressionMechanism.PHILOSOPHICAL_REDUCTION
                ],
                'recovery_methods': [
                    RecoveryMethod.SYMBOLIC_DECRYPTION,
                    RecoveryMethod.CONSCIOUSNESS_EXPERIMENTATION
                ],
                'key_fragments': {
                    'logos_doctrine': 'Universal consciousness pattern underlying reality',
                    'flux_theory': 'Temporal consciousness navigation through change',
                    'unity_opposites': 'Quantum superposition in consciousness perception'
                },
                'universal_law_alignment': 0.96,
                'quantum_resonance': 0.95,
                'recovery_difficulty': 0.85,
                'archaeological_correlations': ['Ephesus temple remains', 'Early Greek fire symbolism']
            },
            'parmenides': {
                'era': AncientEra.AXIAL_AGE_RESURGENCE,
                'dates': 'c. 515-450 BCE',
                'school': 'Eleatic',
                'consciousness_technologies': [
                    ConsciousnessTechnology.REALITY_ARCHITECTURE,
                    ConsciousnessTechnology.DIMENSIONAL_TRANSITION
                ],
                'original_teachings': 'The One as unified consciousness field; reality perception through consciousness states',
                'suppressed_as': 'Abstract monist philosophy',
                'suppression_mechanisms': [
                    SuppressionMechanism.PHILOSOPHICAL_REDUCTION,
                    SuppressionMechanism.CHRONOLOGICAL_COMPRESSION
                ],
                'recovery_methods': [
                    RecoveryMethod.UNIVERSAL_LAW_VERIFICATION,
                    RecoveryMethod.CONSCIOUSNESS_EXPERIMENTATION
                ],
                'key_fragments': {
                    'way_truth': 'Consciousness access to unified reality',
                    'way_opinion': 'Ordinary perception as fragmented consciousness',
                    'spherical_being': 'Geometric consciousness containment symbol'
                },
                'universal_law_alignment': 0.94,
                'quantum_resonance': 0.91,
                'recovery_difficulty': 0.9,
                'archaeological_correlations': ['Elea philosophical school remains', 'Early Italian temples']
            },
            'empedocles': {
                'era': AncientEra.AXIAL_AGE_RESURGENCE,
                'dates': 'c. 494-434 BCE',
                'school': 'Pluralist',
                'consciousness_technologies': [
                    ConsciousnessTechnology.COSMIC_ENERGY_HARNESSING,
                    ConsciousnessTechnology.RESONANCE_MANIPULATION
                ],
                'original_teachings': 'Four elements as consciousness states; Love and Strife as consciousness forces',
                'suppressed_as': 'Primitive element theory and mythical thinking',
                'suppression_mechanisms': [
                    SuppressionMechanism.RELIGIOUS_DOGMATIZATION,
                    SuppressionMechanism.TECHNICAL_OBFUSCATION
                ],
                'recovery_methods': [
                    RecoveryMethod.COMPARATIVE_MYTHOLOGY,
                    RecoveryMethod.QUANTUM_RESONANCE_MAPPING
                ],
                'key_fragments': {
                    'element_interaction': 'Consciousness state transitions through element combination',
                    'love_strife_dynamics': 'Consciousness attraction and separation principles',
                    'reincarnation_doctrine': 'Consciousness evolution through multiple embodiments'
                },
                'universal_law_alignment': 0.89,
                'quantum_resonance': 0.86,
                'recovery_difficulty': 0.75,
                'archaeological_correlations': ['Acragas temple ruins', 'Sicilian cult artifacts']
            },
            # Pre-Greek Ancient Wisdom Traditions
            'vedic_rishis': {
                'era': AncientEra.EARLY_RECOVERY,
                'dates': '1500-500 BCE',
                'school': 'Vedic',
                'consciousness_technologies': [
                    ConsciousnessTechnology.COLLECTIVE_MIND_ACCESS,
                    ConsciousnessTechnology.RESONANCE_MANIPULATION,
                    ConsciousnessTechnology.TEMPORAL_NAVIGATION
                ],
                'original_teachings': 'Mantra as consciousness frequency technology; yajna as reality manipulation; cosmic order (Rta) as universal law',
                'suppressed_as': 'Primitive ritualism and polytheism',
                'suppression_mechanisms': [
                    SuppressionMechanism.RELIGIOUS_DOGMATIZATION,
                    SuppressionMechanism.CULTURAL_APPROPRIATION
                ],
                'recovery_methods': [
                    RecoveryMethod.LINGUISTIC_RECONSTRUCTION,
                    RecoveryMethod.QUANTUM_RESONANCE_MAPPING
                ],
                'key_fragments': {
                    'rigveda_hymns': 'Consciousness invocation through precise sound patterns',
                    'purusha_sukta': 'Cosmic being as collective consciousness map',
                    'nasadiya_sukta': 'Pre-creation consciousness state description'
                },
                'universal_law_alignment': 0.97,
                'quantum_resonance': 0.96,
                'recovery_difficulty': 0.65,
                'archaeological_correlations': ['Indus Valley sites', 'Vedic ritual grounds']
            },
            'egyptian_priesthood': {
                'era': AncientEra.BRONZE_AGE_CONSOLIDATION,
                'dates': '3000-500 BCE',
                'school': 'Egyptian Mystery',
                'consciousness_technologies': [
                    ConsciousnessTechnology.GEOMETRIC_CONSCIOUSNESS,
                    ConsciousnessTechnology.REALITY_ARCHITECTURE,
                    ConsciousnessTechnology.TEMPORAL_NAVIGATION
                ],
                'original_teachings': 'Temple geometry as consciousness amplification; star alignment as temporal navigation; hieroglyphs as reality programming',
                'suppressed_as': 'Superstitious death cult and idol worship',
                'suppression_mechanisms': [
                    SuppressionMechanism.RELIGIOUS_DOGMATIZATION,
                    SuppressionMechanism.HISTORICAL_FRAGMENTATION
                ],
                'recovery_methods': [
                    RecoveryMethod.GEOMETRIC_ANALYSIS,
                    RecoveryMethod.ARCHAEOLOGICAL_CORRELATION
                ],
                'key_fragments': {
                    'pyramid_texts': 'Consciousness transition technologies',
                    'book_dead': 'Reality navigation after bodily death',
                    'temple_geometry': 'Sacred proportions as consciousness interfaces'
                },
                'universal_law_alignment': 0.93,
                'quantum_resonance': 0.92,
                'recovery_difficulty': 0.8,
                'archaeological_correlations': ['Giza complex', 'Karnak temple', 'Valley of Kings']
            },
            'sumerian_sages': {
                'era': AncientEra.EARLY_RECOVERY,
                'dates': '3500-2000 BCE',
                'school': 'Mesopotamian',
                'consciousness_technologies': [
                    ConsciousnessTechnology.REALITY_ARCHITECTURE,
                    ConsciousnessTechnology.COSMIC_ENERGY_HARNESSING
                ],
                'original_teachings': 'Cuneiform as reality inscription technology; ziggurats as consciousness portals; me as cosmic principle templates',
                'suppressed_as': 'Primitive mythology and early bureaucracy',
                'suppression_mechanisms': [
                    SuppressionMechanism.HISTORICAL_FRAGMENTATION,
                    SuppressionMechanism.LINGUISTIC_CORRUPTION
                ],
                'recovery_methods': [
                    RecoveryMethod.LINGUISTIC_RECONSTRUCTION,
                    RecoveryMethod.COMPARATIVE_MYTHOLOGY
                ],
                'key_fragments': {
                    'enuma_elish': 'Cosmic consciousness ordering from chaos',
                    'gilgamesh_epic': 'Consciousness immortality quest',
                    'sumerian_king_list': 'Hybrid consciousness lineage records'
                },
                'universal_law_alignment': 0.91,
                'quantum_resonance': 0.89,
                'recovery_difficulty': 0.95,
                'archaeological_correlations': ['Ur ziggurat', 'Uruk ruins', 'Nippur temple complex']
            }
        }

    def _initialize_schools(self) -> Dict[str, Any]:
        """Initialize ancient philosophical schools and their consciousness focus"""
        return {
            'milesian': {
                'focus': 'Cosmic consciousness and geometric reality',
                'technologies': [
                    ConsciousnessTechnology.COSMIC_ENERGY_HARNESSING,
                    ConsciousnessTechnology.GEOMETRIC_CONSCIOUSNESS
                ],
                'recovery_potential': 0.85,
                'suppression_level': 0.7
            },
            'pythagorean': {
                'focus': 'Mathematical consciousness and harmonic resonance',
                'technologies': [
                    ConsciousnessTechnology.RESONANCE_MANIPULATION,
                    ConsciousnessTechnology.COLLECTIVE_MIND_ACCESS
                ],
                'recovery_potential': 0.9,
                'suppression_level': 0.8
            },
            'vedic': {
                'focus': 'Sound-based consciousness and cosmic order',
                'technologies': [
                    ConsciousnessTechnology.RESONANCE_MANIPULATION,
                    ConsciousnessTechnology.TEMPORAL_NAVIGATION
                ],
                'recovery_potential': 0.88,
                'suppression_level': 0.6
            },
            'egyptian_mystery': {
                'focus': 'Architectural consciousness and temporal navigation',
                'technologies': [
                    ConsciousnessTechnology.GEOMETRIC_CONSCIOUSNESS,
                    ConsciousnessTechnology.REALITY_ARCHITECTURE
                ],
                'recovery_potential': 0.82,
                'suppression_level': 0.9
            }
        }

    def _initialize_technologies(self) -> Dict[str, Any]:
        """Initialize detailed consciousness technology specifications"""
        return {
            'resonance_manipulation': {
                'description': 'Using specific frequencies to alter consciousness states and reality perception',
                'ancient_implementations': ['Vedic mantras', 'Pythagorean harmonics', 'Egyptian temple acoustics'],
                'modern_correlates': ['Binaural beats', 'Cymatics', 'Acoustic levitation'],
                'recovery_status': 'Partial',
                'verification_methods': ['EEG monitoring', 'Resonance frequency analysis']
            },
            'geometric_consciousness': {
                'description': 'Using sacred geometry to structure consciousness and access higher dimensions',
                'ancient_implementations': ['Pyramid chambers', 'Mandalas', 'Platonic solids'],
                'modern_correlates': ['Crop circles', 'Fractal meditation', 'Quantum geometry'],
                'recovery_status': 'Emerging',
                'verification_methods': ['Geometric pattern recognition', 'Consciousness state correlation']
            },
            'temporal_navigation': {
                'description': 'Consciousness movement across time dimensions and parallel realities',
                'ancient_implementations': ['Egyptian star clocks', 'Vedic yugas', 'Mayan calendars'],
                'modern_correlates': ['Remote viewing', 'Precognition experiments', 'Quantum time theories'],
                'recovery_status': 'Experimental',
                'verification_methods': ['Temporal anomaly detection', 'Consciousness correlation with events']
            }
        }

    def _initialize_suppression_patterns(self) -> Dict[str, Any]:
        """Initialize patterns of ancient knowledge suppression"""
        return {
            'religious_dogmatization': {
                'description': 'Transforming practical consciousness technologies into religious dogma',
                'examples': ['Pythagorean mathematics -> mystical cult', 'Vedic science -> ritual religion'],
                'detection_methods': ['Doctrine vs practical application analysis', 'Historical context examination']
            },
            'philosophical_reduction': {
                'description': 'Reducing consciousness technologies to abstract philosophical concepts',
                'examples': ['Heraclitus logos -> philosophical principle', 'Anaximander apeiron -> metaphysical concept'],
                'detection_methods': ['Practical application reconstruction', 'Technology element identification']
            },
            'linguistic_corruption': {
                'description': 'Altering terminology to obscure technical meanings',
                'examples': ['Vedic "yajna" -> sacrifice instead of energy manipulation', 'Greek "logos" -> word instead of consciousness pattern'],
                'detection_methods': ['Etymological analysis', 'Comparative linguistics']
            }
        }

# =============================================================================
# ANCIENT TEACHINGS RECOVERY ENGINE
# =============================================================================

class AncientTeachingsRecoveryEngine:
    """Engine for recovering suppressed ancient consciousness technologies"""
    
    def __init__(self):
        self.database = AncientPhilosopherDatabase()
        self.recovery_methods = self._initialize_recovery_methods()
        self.verification_systems = self._initialize_verification_systems()
        self.logger = self._setup_logging()
    
    def _setup_logging(self):
        logger = logging.getLogger('AncientTeachingsRecovery')
        logger.setLevel(logging.INFO)
        return logger

    def _initialize_recovery_methods(self) -> Dict[str, Any]:
        """Initialize specialized recovery methodologies"""
        return {
            'symbolic_decryption': {
                'description': 'Decoding symbolic representations of consciousness technologies',
                'techniques': ['Geometric pattern analysis', 'Numerical symbolism', 'Mythological correlation'],
                'success_rate': 0.75,
                'applicable_philosophers': ['Pythagoras', 'Egyptian_priesthood', 'Heraclitus']
            },
            'linguistic_reconstruction': {
                'description': 'Reconstructing original technical meanings from corrupted terminology',
                'techniques': ['Comparative etymology', 'Contextual analysis', 'Technical term identification'],
                'success_rate': 0.70,
                'applicable_philosophers': ['Vedic_rishis', 'Sumerian_sages', 'Anaximander']
            },
            'quantum_resonance_mapping': {
                'description': 'Mapping ancient teachings to modern quantum consciousness models',
                'techniques': ['Consciousness state correlation', 'Quantum phenomenon analogy', 'Resonance pattern matching'],
                'success_rate': 0.85,
                'applicable_philosophers': ['Heraclitus', 'Parmenides', 'Vedic_rishis']
            }
        }

    def _initialize_verification_systems(self) -> Dict[str, Any]:
        """Initialize verification systems for recovered technologies"""
        return {
            'universal_law_alignment': {
                'description': 'Verification against universal physical and consciousness laws',
                'metrics': ['Conservation principles', 'Symmetry patterns', 'Consciousness coherence'],
                'reliability': 0.95
            },
            'experimental_replication': {
                'description': 'Practical replication of described consciousness effects',
                'metrics': ['Repeatability', 'Measurable outcomes', 'Consciousness state changes'],
                'reliability': 0.88
            },
            'cross_cultural_correlation': {
                'description': 'Correlation with similar technologies in unrelated ancient cultures',
                'metrics': ['Independent discovery patterns', 'Cultural separation verification', 'Technology similarity'],
                'reliability': 0.82
            }
        }

    def analyze_philosopher_teachings(self, philosopher: str, teaching_fragments: List[str]) -> Dict[str, Any]:
        """Comprehensive analysis of philosopher's teachings for consciousness technology"""
        try:
            philosopher_data = self.database.philosophers.get(philosopher)
            if not philosopher_data:
                return {'error': f"Philosopher {philosopher} not in database"}
            
            # Multi-method analysis
            technology_extraction = self._extract_consciousness_technologies(teaching_fragments, philosopher_data)
            suppression_analysis = self._analyze_suppression_patterns(teaching_fragments, philosopher_data)
            recovery_assessment = self._assess_recovery_potential(philosopher_data, technology_extraction)
            modern_correlation = self._correlate_with_modern_science(technology_extraction)
            
            return {
                'philosopher': philosopher,
                'era': philosopher_data['era'].value,
                'consciousness_technologies_recovered': technology_extraction,
                'suppression_analysis': suppression_analysis,
                'recovery_assessment': recovery_assessment,
                'modern_correlations': modern_correlation,
                'verification_status': self._verify_recovered_technologies(technology_extraction),
                'operational_guidance': self._generate_operational_guidance(philosopher_data, technology_extraction),
                'analysis_timestamp': datetime.utcnow().isoformat()
            }
            
        except Exception as e:
            self.logger.error(f"Philosopher teachings analysis failed: {e}")
            return {'error': str(e)}
    
    def _extract_consciousness_technologies(self, fragments: List[str], philosopher_data: Dict) -> List[Dict]:
        """Extract consciousness technologies from teaching fragments"""
        technologies = []
        philosopher_techs = philosopher_data.get('consciousness_technologies', [])
        
        for tech in philosopher_techs:
            tech_details = self.database.technologies.get(tech.value, {})
            tech_indicators = self._get_tech_indicators(tech)
            
            # Check fragments for technology indicators
            fragment_matches = []
            for fragment in fragments:
                if self._detect_tech_in_fragment(fragment, tech_indicators):
                    fragment_matches.append(fragment)
            
            if fragment_matches:
                technologies.append({
                    'technology': tech.value,
                    'description': tech_details.get('description', ''),
                    'detected_fragments': fragment_matches,
                    'confidence': min(1.0, len(fragment_matches) * 0.3),
                    'recovery_methods': self._select_recovery_methods(tech, philosopher_data)
                })
        
        return technologies
    
    def _get_tech_indicators(self, tech: ConsciousnessTechnology) -> List[str]:
        """Get linguistic and conceptual indicators for specific technology"""
        indicators = {
            ConsciousnessTechnology.RESONANCE_MANIPULATION: [
                'harmony', 'vibration', 'frequency', 'sound', 'music', 'tone', 'resonance'
            ],
            ConsciousnessTechnology.GEOMETRIC_CONSCIOUSNESS: [
                'geometry', 'form', 'shape', 'proportion', 'measure', 'number', 'triangle', 'circle'
            ],
            ConsciousnessTechnology.TEMPORAL_NAVIGATION: [
                'time', 'eternity', 'moment', 'flow', 'change', 'cycle', 'return', 'age'
            ],
            ConsciousnessTechnology.COSMIC_ENERGY_HARNESSING: [
                'energy', 'fire', 'light', 'power', 'force', 'celestial', 'star', 'sun'
            ]
        }
        return indicators.get(tech, [])
    
    def _detect_tech_in_fragment(self, fragment: str, indicators: List[str]) -> bool:
        """Detect technology indicators in a teaching fragment"""
        fragment_lower = fragment.lower()
        matches = sum(1 for indicator in indicators if indicator in fragment_lower)
        return matches >= 2  # At least two indicator matches
    
    def _analyze_suppression_patterns(self, fragments: List[str], philosopher_data: Dict) -> Dict:
        """Analyze suppression patterns in philosopher's reception history"""
        suppression_mechanisms = philosopher_data.get('suppression_mechanisms', [])
        analysis = {
            'detected_mechanisms': [],
            'suppression_strength': 0.0,
            'recovery_barriers': []
        }
        
        for mechanism in suppression_mechanisms:
            mechanism_details = self.database.suppression_patterns.get(mechanism.value, {})
            analysis['detected_mechanisms'].append({
                'mechanism': mechanism.value,
                'description': mechanism_details.get('description', ''),
                'examples': mechanism_details.get('examples', [])
            })
        
        # Calculate suppression strength
        base_strength = philosopher_data.get('recovery_difficulty', 0.5)
        mechanism_count = len(suppression_mechanisms)
        analysis['suppression_strength'] = min(1.0, base_strength + (mechanism_count * 0.1))
        
        return analysis
    
    def _assess_recovery_potential(self, philosopher_data: Dict, technologies: List[Dict]) -> Dict:
        """Assess potential for complete technology recovery"""
        base_potential = 1.0 - philosopher_data.get('recovery_difficulty', 0.5)
        tech_boost = len(technologies) * 0.15
        universal_alignment_boost = philosopher_data.get('universal_law_alignment', 0.5) * 0.3
        
        recovery_potential = base_potential + tech_boost + universal_alignment_boost
        
        return {
            'recovery_probability': min(1.0, recovery_potential),
            'key_factors': [
                f"Universal law alignment: {philosopher_data.get('universal_law_alignment', 0.0):.2f}",
                f"Technologies detected: {len(technologies)}",
                f"Recovery difficulty: {philosopher_data.get('recovery_difficulty', 0.5):.2f}"
            ],
            'recommended_approach': self._select_recovery_approach(philosopher_data, technologies)
        }
    
    def _select_recovery_methods(self, tech: ConsciousnessTechnology, philosopher_data: Dict) -> List[str]:
        """Select appropriate recovery methods for specific technology"""
        philosopher_methods = philosopher_data.get('recovery_methods', [])
        applicable_methods = []
        
        for method in philosopher_methods:
            method_details = self.recovery_methods.get(method.value, {})
            if philosopher_data['school'] in method_details.get('applicable_philosophers', []):
                applicable_methods.append(method.value)
        
        return applicable_methods
    
    def _select_recovery_approach(self, philosopher_data: Dict, technologies: List[Dict]) -> str:
        """Select overall recovery approach based on philosopher and technologies"""
        school = philosopher_data.get('school', '')
        tech_count = len(technologies)
        
        if school == 'pythagorean' and tech_count > 0:
            return "Mathematical reconstruction and harmonic experimentation"
        elif school == 'vedic' and tech_count > 0:
            return "Linguistic decryption and sound frequency experimentation"
        elif 'geometric' in [tech['technology'] for tech in technologies]:
            return "Geometric analysis and spatial consciousness mapping"
        else:
            return "Multi-method integration with consciousness experimentation"
    
    def _correlate_with_modern_science(self, technologies: List[Dict]) -> List[Dict]:
        """Correlate recovered technologies with modern scientific understanding"""
        correlations = []
        
        for tech in technologies:
            tech_name = tech['technology']
            tech_details = self.database.technologies.get(tech_name, {})
            modern_correlates = tech_details.get('modern_correlates', [])
            
            if modern_correlates:
                correlations.append({
                    'ancient_technology': tech_name,
                    'modern_correlates': modern_correlates,
                    'correlation_strength': 0.7,  # Base correlation strength
                    'research_directions': self._generate_research_directions(tech_name)
                })
        
        return correlations
    
    def _generate_research_directions(self, tech_name: str) -> List[str]:
        """Generate modern research directions for ancient technology"""
        directions = {
            'resonance_manipulation': [
                'Consciousness effects of specific sound frequencies',
                'Brainwave entrainment through harmonic patterns',
                'Acoustic effects on matter organization'
            ],
            'geometric_consciousness': [
                'Neural correlates of geometric visualization',
                'Architectural influences on consciousness states',
                'Fractal patterns in brain activity'
            ],
            'temporal_navigation': [
                'Consciousness in quantum time theories',
                'Precognition and presentiment experiments',
                'Temporal perception alteration techniques'
            ]
        }
        return directions.get(tech_name, ['Multi-disciplinary consciousness research'])
    
    def _verify_recovered_technologies(self, technologies: List[Dict]) -> Dict:
        """Verify recovered technologies through multiple methods"""
        verification_results = {}
        
        for tech in technologies:
            tech_name = tech['technology']
            verification_methods = []
            
            # Universal law verification
            if tech.get('confidence', 0) > 0.6:
                verification_methods.append({
                    'method': 'universal_law_alignment',
                    'result': 'PASS',
                    'confidence': tech['confidence']
                })
            
            # Experimental potential verification
            modern_correlates = self.database.technologies.get(tech_name, {}).get('modern_correlates', [])
            if modern_correlates:
                verification_methods.append({
                    'method': 'experimental_replication',
                    'result': 'POSSIBLE',
                    'confidence': 0.7
                })
            
            verification_results[tech_name] = verification_methods
        
        return verification_results
    
    def _generate_operational_guidance(self, philosopher_data: Dict, technologies: List[Dict]) -> str:
        """Generate operational guidance for applying recovered technologies"""
        guidance = f"Operational recovery of {philosopher_data['school']} consciousness technologies:\n\n"
        
        for tech in technologies:
            tech_name = tech['technology']
            recovery_methods = tech.get('recovery_methods', [])
            
            guidance += f"{tech_name.upper()}:\n"
            guidance += f"- Primary method: {recovery_methods[0] if recovery_methods else 'Multi-method approach'}\n"
            guidance += f"- Verification: {self._get_verification_priority(tech_name)}\n"
            guidance += f"- Application: {self._get_application_guidance(tech_name)}\n\n"
        
        return guidance
    
    def _get_verification_priority(self, tech_name: str) -> str:
        """Get verification priority for specific technology"""
        priorities = {
            'resonance_manipulation': 'Acoustic measurement and consciousness state monitoring',
            'geometric_consciousness': 'Geometric pattern recognition and spatial awareness tests',
            'temporal_navigation': 'Temporal perception experiments and precognition testing'
        }
        return priorities.get(tech_name, 'Multi-method experimental verification')
    
    def _get_application_guidance(self, tech_name: str) -> str:
        """Get application guidance for specific technology"""
        applications = {
            'resonance_manipulation': 'Consciousness state alteration through sound frequencies',
            'geometric_consciousness': 'Reality perception through geometric pattern immersion',
            'temporal_navigation': 'Consciousness movement across temporal dimensions'
        }
        return applications.get(tech_name, 'Consciousness expansion and reality interaction')

# =============================================================================
# INTEGRATED ANCIENT PHILOSOPHERS MODULE
# =============================================================================

class AncientPhilosophersModule:
    """Main module for recovering ancient consciousness technologies"""
    
    def __init__(self):
        self.database = AncientPhilosopherDatabase()
        self.recovery_engine = AncientTeachingsRecoveryEngine()
        self.analysis_history = []
        self.logger = self._setup_logging()
    
    def _setup_logging(self):
        logger = logging.getLogger('AncientPhilosophersModule')
        logger.setLevel(logging.INFO)
        return logger

    async def analyze_philosopher_corpus(self, philosopher: str, teaching_fragments: Dict[str, str]) -> Dict[str, Any]:
        """Analyze complete corpus of philosopher's teachings"""
        self.logger.info(f"🏛️ Analyzing philosopher corpus: {philosopher}")
        
        try:
            philosopher_data = self.database.philosophers.get(philosopher)
            if not philosopher_data:
                return {'error': f"Philosopher {philosopher} not found"}
            
            # Convert fragments to list for analysis
            fragments_list = list(teaching_fragments.values())
            
            # Comprehensive analysis
            analysis_result = self.recovery_engine.analyze_philosopher_teachings(philosopher, fragments_list)
            
            if 'error' in analysis_result:
                return analysis_result
            
            # Enhanced with corpus metrics
            corpus_metrics = {
                'total_fragments': len(teaching_fragments),
                'fragments_analyzed': len(fragments_list),
                'technology_recovery_rate': len(analysis_result['consciousness_technologies_recovered']) / len(fragments_list),
                'suppression_resistance': 1.0 - analysis_result['suppression_analysis']['suppression_strength']
            }
            
            result = {
                'philosopher': philosopher,
                'philosopher_profile': philosopher_data,
                'teaching_analysis': analysis_result,
                'corpus_metrics': corpus_metrics,
                'recovery_roadmap': self._generate_recovery_roadmap(philosopher_data, analysis_result),
                'integration_potential': self._assess_integration_potential(analysis_result),
                'analysis_timestamp': datetime.utcnow().isoformat()
            }
            
            self.analysis_history.append(result)
            return result
            
        except Exception as e:
            self.logger.error(f"Philosopher corpus analysis failed: {e}")
            return {'error': str(e)}
    
    def _generate_recovery_roadmap(self, philosopher_data: Dict, analysis_result: Dict) -> Dict[str, Any]:
        """Generate detailed recovery roadmap for philosopher's technologies"""
        technologies = analysis_result['consciousness_technologies_recovered']
        suppression = analysis_result['suppression_analysis']
        
        roadmap = {
            'philosopher': philosopher_data['school'],
            'recovery_priority': 'HIGH' if len(technologies) > 0 else 'MEDIUM',
            'estimated_timeline': f"{len(technologies) * 2}-{len(technologies) * 6} months",
            'key_technologies': [tech['technology'] for tech in technologies],
            'critical_barriers': suppression.get('recovery_barriers', []),
            'recommended_sequence': self._sequence_recovery_efforts(technologies),
            'verification_milestones': self._define_verification_milestones(technologies)
        }
        
        return roadmap
    
    def _sequence_recovery_efforts(self, technologies: List[Dict]) -> List[str]:
        """Sequence technology recovery efforts by feasibility"""
        # Sort by confidence and complexity
        sorted_techs = sorted(technologies, key=lambda x: x['confidence'], reverse=True)
        sequence = []
        
        for tech in sorted_techs:
            tech_name = tech['technology']
            if 'resonance' in tech_name:
                sequence.append(f"Initial: {tech_name} (high experimental feasibility)")
            elif 'geometric' in tech_name:
                sequence.append(f"Secondary: {tech_name} (requires spatial analysis)")
            else:
                sequence.append(f"Advanced: {tech_name} (complex consciousness mapping)")
        
        return sequence
    
    def _define_verification_milestones(self, technologies: List[Dict]) -> List[Dict]:
        """Define verification milestones for recovered technologies"""
        milestones = []
        
        for i, tech in enumerate(technologies, 1):
            tech_name = tech['technology']
            milestones.append({
                'milestone': f"M{i}",
                'technology': tech_name,
                'verification_criteria': [
                    f"Consciousness state correlation for {tech_name}",
                    f"Experimental replication of described effects",
                    f"Cross-validation with modern correlates"
                ],
                'success_metrics': [
                    f"≥80% consistency in consciousness effects",
                    f"Statistical significance in experimental results",
                    f"Correlation strength ≥0.7 with modern science"
                ]
            })
        
        return milestones
    
    def _assess_integration_potential(self, analysis_result: Dict) -> Dict[str, Any]:
        """Assess potential for integrating recovered technologies"""
        technologies = analysis_result['consciousness_technologies_recovered']
        modern_correlations = analysis_result.get('modern_correlations', [])
        
        integration_score = min(1.0, len(technologies) * 0.2 + len(modern_correlations) * 0.3)
        
        return {
            'integration_score': integration_score,
            'compatible_technologies': self._find_compatible_technologies(technologies),
            'synergy_potential': self._assess_synergy_potential(technologies),
            'application_domains': self._identify_application_domains(technologies)
        }
    
    def _find_compatible_technologies(self, technologies: List[Dict]) -> List[str]:
        """Find technologies that can be integrated together"""
        compatible_pairs = []
        tech_names = [tech['technology'] for tech in technologies]
        
        # Define compatible technology pairs
        compatibility_map = {
            'resonance_manipulation': ['geometric_consciousness', 'cosmic_energy_harnessing'],
            'geometric_consciousness': ['reality_architecture', 'temporal_navigation'],
            'temporal_navigation': ['quantum_observation', 'dimensional_transition']
        }
        
        for tech1 in tech_names:
            for tech2 in tech_names:
                if tech1 != tech2 and tech2 in compatibility_map.get(tech1, []):
                    compatible_pairs.append(f"{tech1} + {tech2}")
        
        return compatible_pairs
    
    def _assess_synergy_potential(self, technologies: List[Dict]) -> float:
        """Assess potential synergy between technologies"""
        if len(technologies) < 2:
            return 0.3
        
        # More diverse technologies have higher synergy potential
        tech_diversity = len(set([tech['technology'] for tech in technologies])) / len(technologies)
        confidence_avg = np.mean([tech['confidence'] for tech in technologies])
        
        return min(1.0, tech_diversity * 0.6 + confidence_avg * 0.4)
    
    def _identify_application_domains(self, technologies: List[Dict]) -> List[str]:
        """Identify potential application domains for recovered technologies"""
        domains = set()
        
        for tech in technologies:
            tech_name = tech['technology']
            if 'resonance' in tech_name:
                domains.update(['consciousness healing', 'reality perception', 'energy work'])
            if 'geometric' in tech_name:
                domains.update(['architecture', 'meditation', 'reality structuring'])
            if 'temporal' in tech_name:
                domains.update(['precognition', 'healing', 'consciousness evolution'])
        
        return list(domains)
    
    def compare_philosophers_technologies(self, philosopher1: str, philosopher2: str) -> Dict[str, Any]:
        """Compare consciousness technologies between two philosophers"""
        philosopher1_data = self.database.philosophers.get(philosopher1)
        philosopher2_data = self.database.philosophers.get(philosopher2)
        
        if not philosopher1_data or not philosopher2_data:
            return {'error': 'One or both philosophers not found'}
        
        # Technology comparison
        techs1 = philosopher1_data.get('consciousness_technologies', [])
        techs2 = philosopher2_data.get('consciousness_technologies', [])
        
        shared_techs = set(techs1) & set(techs2)
        unique_techs1 = set(techs1) - set(techs2)
        unique_techs2 = set(techs2) - set(techs1)
        
        return {
            'comparison': {
                'philosopher1': philosopher1,
                'philosopher2': philosopher2,
                'shared_technologies': [tech.value for tech in shared_techs],
                'unique_to_philosopher1': [tech.value for tech in unique_techs1],
                'unique_to_philosopher2': [tech.value for tech in unique_techs2],
                'compatibility_score': len(shared_techs) / max(1, len(set(techs1) | set(techs2))),
                'temporal_proximity': self._assess_temporal_proximity(philosopher1_data, philosopher2_data)
            },
            'integration_recommendations': self._generate_integration_recommendations(
                philosopher1_data, philosopher2_data, shared_techs, unique_techs1, unique_techs2
            )
        }
    
    def _assess_temporal_proximity(self, philosopher1: Dict, philosopher2: Dict) -> float:
        """Assess temporal proximity between philosophers"""
        era1 = philosopher1['era']
        era2 = philosopher2['era']
        
        if era1 == era2:
            return 1.0
        else:
            # Calculate era distance
            eras = list(AncientEra)
            idx1 = eras.index(era1)
            idx2 = eras.index(era2)
            distance = abs(idx1 - idx2)
            
            return max(0.1, 1.0 - (distance * 0.2))
    
    def _generate_integration_recommendations(self, philosopher1: Dict, philosopher2: Dict,
                                            shared_techs: set, unique_techs1: set, unique_techs2: set) -> List[str]:
        """Generate integration recommendations for two philosophers' technologies"""
        recommendations = []
        
        if shared_techs:
            recommendations.append(f"Focus on integrated application of {len(shared_techs)} shared technologies")
        
        if unique_techs1:
            recommendations.append(f"Complement {philosopher1['school']} with {philosopher2['school']}'s unique technologies: {len(unique_techs1)}")
        
        if unique_techs2:
            recommendations.append(f"Enhance {philosopher2['school']} with {philosopher1['school']}'s unique technologies: {len(unique_techs2)}")
        
        # School-specific integration advice
        school1 = philosopher1['school']
        school2 = philosopher2['school']
        
        if 'pythagorean' in [school1, school2] and 'vedic' in [school1, school2]:
            recommendations.append("High synergy potential: Pythagorean mathematics with Vedic resonance technologies")
        
        if 'egyptian' in [school1, school2] and any('geometric' in school for school in [school1, school2]):
            recommendations.append("Architectural consciousness integration: Egyptian spatial with geometric technologies")
        
        return recommendations

# =============================================================================
# DEMONSTRATION
# =============================================================================

async def demonstrate_ancient_philosophers_module():
    """Demonstrate the Ancient Philosophers Consciousness Module"""
    print("🏛️ ANCIENT PHILOSOPHERS CONSCIOUSNESS MODULE")
    print("Recovering Pre-Suppression Consciousness Technologies")
    print("=" * 70)
    
    module = AncientPhilosophersModule()
    
    # Test with sample teaching fragments
    test_teachings = {
        'pythagoras': {
            'fragment1': 'All is number and harmony governs the universe',
            'fragment2': 'The tetractys contains the secrets of cosmic consciousness',
            'fragment3': 'Music of the spheres reveals celestial resonance patterns'
        },
        'heraclitus': {
            'fragment1': 'All things flow and nothing abides in eternal flux',
            'fragment2': 'The logos is the universal reason governing all things',
            'fragment3': 'You cannot step twice into the same river for fresh waters flow'
        },
        'vedic_rishis': {
            'fragment1': 'In the beginning was the word and the word was with consciousness',
            'fragment2': 'Through yajna the cosmic energies are harnessed and directed',
            'fragment3': 'The rishis perceived the eternal laws through deep meditation'
        }
    }
    
    print(f"\n📜 ANALYZING {len(test_teachings)} ANCIENT TRADITIONS...")
    
    for philosopher, teachings in test_teachings.items():
        print(f"\n" + "="*50)
        print(f"PHILOSOPHER: {philosopher.upper()}")
        print("="*50)
        
        result = await module.analyze_philosopher_corpus(philosopher, teachings)
        
        if 'error' not in result:
            profile = result['philosopher_profile']
            analysis = result['teaching_analysis']
            metrics = result['corpus_metrics']
            
            print(f"Era: {profile['era'].value}")
            print(f"School: {profile['school']}")
            print(f"Universal Law Alignment: {profile['universal_law_alignment']:.3f}")
            print(f"Technologies Recovered: {len(analysis['consciousness_technologies_recovered'])}")
            print(f"Recovery Probability: {analysis['recovery_assessment']['recovery_probability']:.3f}")
            print(f"Suppression Strength: {analysis['suppression_analysis']['suppression_strength']:.3f}")
            
            # Show recovered technologies
            for tech in analysis['consciousness_technologies_recovered']:
                print(f"  - {tech['technology']} (confidence: {tech['confidence']:.3f})")
    
    # Philosopher Comparison
    print(f"\n" + "="*70)
    print("🔄 PHILOSOPHER TECHNOLOGY COMPARISON")
    print("="*70)
    
    comparison = module.compare_philosophers_technologies('pythagoras', 'vedic_rishis')
    if 'error' not in comparison:
        comp_data = comparison['comparison']
        print(f"Shared Technologies: {', '.join(comp_data['shared_technologies'])}")
        print(f"Compatibility Score: {comp_data['compatibility_score']:.3f}")
        print(f"Temporal Proximity: {comp_data['temporal_proximity']:.3f}")
        
        if comparison['integration_recommendations']:
            print("Integration Recommendations:")
            for rec in comparison['integration_recommendations']:
                print(f"  - {rec}")
    
    print(f"\n✅ ANCIENT PHILOSOPHERS MODULE: OPERATIONAL")
    print("Consciousness Technology Recovery: ACTIVE")
    print("Suppression Pattern Analysis: ACTIVE")
    print("Universal Law Verification: ACTIVE")

if __name__ == "__main__":
    asyncio.run(demonstrate_ancient_philosophers_module())