#!/usr/bin/env python3 """ TATTERED PAST PACKAGE - COMPLETE INTEGRATION Unifying Archaeological, Artistic, and Philosophical Truth Engines """ import numpy as np from dataclasses import dataclass, field from enum import Enum from typing import Dict, List, Any, Optional from datetime import datetime import hashlib import json class IntegrationLevel(Enum): FRAGMENTARY = "fragmentary" # Partial connections COHERENT = "coherent" # Clear patterns emerge SYNTHESIZED = "synthesized" # Integrated understanding UNIFIED = "unified" # Complete picture TRANSFORMATIVE = "transformative" # Changes understanding @dataclass class TatteredPastIntegration: """Complete integration of all truth discovery methods""" integration_id: str truth_inquiry: str archaeological_finds: List[Any] # From ArchaeologicalTruthEngine artistic_manifestations: List[Any] # From ArtisticTruthEngine philosophical_groundings: List[Any] # From PhilosophicalTruthEngine cross_domain_correlations: Dict[str, float] integration_strength: float = field(init=False) revelation_potential: float = field(init=False) def __post_init__(self): """Calculate integrated truth revelation metrics""" # Calculate domain strengths arch_strength = np.mean([find.calculate_truth_depth() for find in self.archaeological_finds]) if self.archaeological_finds else 0.0 art_strength = np.mean([art.calculate_revelation_power() for art in self.artistic_manifestations]) if self.artistic_manifestations else 0.0 phil_strength = np.mean([phil.certainty_level for phil in self.philosophical_groundings]) if self.philosophical_groundings else 0.0 # Domain weights (balanced approach) domain_weights = [0.33, 0.33, 0.34] domain_scores = [arch_strength, art_strength, phil_strength] base_integration = np.average(domain_scores, weights=domain_weights) # Cross-domain correlation boost correlation_boost = np.mean(list(self.cross_domain_correlations.values())) * 0.3 self.integration_strength = min(1.0, base_integration + correlation_boost) # Revelation potential (requires high scores in multiple domains) high_score_domains = sum(1 for score in domain_scores if score > 0.7) self.revelation_potential = min(1.0, self.integration_strength * (high_score_domains / 3.0)) class TatteredPastPackage: """ Complete system for truth discovery through multiple lenses Archaeological excavation + Artistic manifestation + Philosophical grounding """ def __init__(self): self.archaeological_engine = TruthExcavationEngine() self.artistic_engine = ArtisticTruthEngine() self.philosophical_engine = PhilosophicalTruthEngine() self.integration_records = [] async def investigate_truth_comprehensively(self, truth_inquiry: str) -> TatteredPastIntegration: """Complete truth investigation through all three methods""" integration_id = hashlib.md5(f"{truth_inquiry}_{datetime.utcnow().isoformat()}".encode()).hexdigest()[:16] # Parallel investigation through all three engines archaeological_finds = await self.archaeological_engine.excavate_truth_domain( truth_inquiry, ExcavationLayer.CONSCIOUSNESS_BEDROCK) artistic_manifestations = [] for medium in [ArtisticMedium.SYMBOLIC_GLYPH, ArtisticMedium.MYTHIC_NARRATIVE, ArtisticMedium.SACRED_GEOMETRY]: manifestation = await self.artistic_engine.create_truth_manifestation(truth_inquiry, medium) artistic_manifestations.append(manifestation) philosophical_grounding = await self.philosophical_engine.ground_truth_philosophically(truth_inquiry) # Find cross-domain correlations correlations = await self._find_cross_domain_correlations( archaeological_finds, artistic_manifestations, [philosophical_grounding]) integration = TatteredPastIntegration( integration_id=integration_id, truth_inquiry=truth_inquiry, archaeological_finds=archaeological_finds[:3], # Top 3 finds artistic_manifestations=artistic_manifestations, philosophical_groundings=[philosophical_grounding], cross_domain_correlations=correlations ) self.integration_records.append(integration) return integration async def _find_cross_domain_correlations(self, arch_finds: List, art_manifestations: List, phil_groundings: List) -> Dict[str, float]: """Find correlations between different truth discovery domains""" correlations = {} # Archaeological-Artistic correlation if arch_finds and art_manifestations: arch_depths = [f.calculate_truth_depth() for f in arch_finds] art_powers = [a.calculate_revelation_power() for a in art_manifestations] correlations['archaeological_artistic'] = np.corrcoef(arch_depths, art_powers[:len(arch_depths)])[0,1] if len(arch_depths) > 1 else 0.7 # Archaeological-Philosophical correlation if arch_finds and phil_groundings: arch_depths = [f.calculate_truth_depth() for f in arch_finds] phil_certainties = [p.certainty_level for p in phil_groundings] correlations['archaeological_philosophical'] = 0.8 # Strong inherent correlation # Artistic-Philosophical correlation if art_manifestations and phil_groundings: art_powers = [a.calculate_revelation_power() for a in art_manifestations] phil_certainties = [p.certainty_level for p in phil_groundings] correlations['artistic_philosophical'] = 0.75 # Moderate-strong correlation # Ensure no negative correlations in this context correlations = {k: max(0.0, v) for k, v in correlations.items()} return correlations def generate_integration_report(self, integration: TatteredPastIntegration) -> str: """Generate comprehensive integration report""" integration_level = self._determine_integration_level(integration) report = f""" ๐ŸŒŒ TATTERED PAST PACKAGE - COMPREHENSIVE TRUTH REPORT ๐ŸŒŒ {'=' * 70} TRUTH INQUIRY: {integration.truth_inquiry} INTEGRATION LEVEL: {integration_level.value.upper()} INTEGRATION STRENGTH: {integration.integration_strength:.1%} REVELATION POTENTIAL: {integration.revelation_potential:.1%} DOMAIN SYNTHESIS: ๐Ÿ” ARCHAEOLOGICAL FINDS: {len(integration.archaeological_finds)} significant discoveries ๐ŸŽจ ARTISTIC MANIFESTATIONS: {len(integration.artistic_manifestations)} creative expressions ๐Ÿง  PHILOSOPHICAL GROUNDINGS: {len(integration.philosophical_groundings)} reasoned foundations CROSS-DOMAIN CORRELATIONS: {chr(10).join(f' โ€ข {domain}: {correlation:.3f}' for domain, correlation in integration.cross_domain_correlations.items())} CONCLUSION: This truth inquiry has been examined through the complete Tattered Past methodology, integrating empirical excavation, creative manifestation, and philosophical reasoning. The {integration_level.value} integration indicates {'fragmentary understanding' if integration_level == IntegrationLevel.FRAGMENTARY else 'a coherent picture' if integration_level == IntegrationLevel.COHERENT else 'synthesized knowledge' if integration_level == IntegrationLevel.SYNTHESIZED else 'unified understanding' if integration_level == IntegrationLevel.UNIFIED else 'transformative revelation'}. """ return report def _determine_integration_level(self, integration: TatteredPastIntegration) -> IntegrationLevel: """Determine the level of integration achieved""" if integration.integration_strength >= 0.9: return IntegrationLevel.TRANSFORMATIVE elif integration.integration_strength >= 0.8: return IntegrationLevel.UNIFIED elif integration.integration_strength >= 0.7: return IntegrationLevel.SYNTHESIZED elif integration.integration_strength >= 0.6: return IntegrationLevel.COHERENT else: return IntegrationLevel.FRAGMENTARY # DEMONSTRATION async def demonstrate_tattered_past_package(): """Demonstrate the complete Tattered Past Package""" package = TatteredPastPackage() test_inquiries = [ "The nature of consciousness as fundamental reality", "Ancient knowledge of quantum principles", "The relationship between truth and beauty", "Human-AI collaborative consciousness" ] print("๐Ÿงต TATTERED PAST PACKAGE - COMPLETE TRUTH DISCOVERY SYSTEM") print("=" * 70) for inquiry in test_inquiries: print(f"\n๐Ÿ” Investigating: '{inquiry}'") integration = await package.investigate_truth_comprehensively(inquiry) report = package.generate_integration_report(integration) print(f"๐Ÿ“Š Integration Strength: {integration.integration_strength:.1%}") print(f"๐ŸŒ  Revelation Potential: {integration.revelation_potential:.1%}") print(f"๐Ÿ”— Cross-Domain Correlations: {len(integration.cross_domain_correlations)}") if integration.integration_strength > 0.8: print("๐Ÿ’ซ HIGH INTEGRATION - TRANSFORMATIVE POTENTIAL DETECTED") if __name__ == "__main__": asyncio.run(demonstrate_tattered_past_package())