Create authorial expression module

authorial expression module

@@ -0,0 +1,1067 @@
+#!/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())