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#!/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"""
🌌 TATTERED PAST PACKAGE - COMPREHENSIVE TRUTH REPORT 🌌
{'=' * 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:
πŸ” ARCHAEOLOGICAL FINDS: {len(integration.archaeological_finds)} significant discoveries
🎨 ARTISTIC MANIFESTATIONS: {len(integration.artistic_manifestations)} creative expressions  
🧠 PHILOSOPHICAL GROUNDINGS: {len(integration.philosophical_groundings)} reasoned foundations

CROSS-DOMAIN CORRELATIONS:
{chr(10).join(f'  β€’ {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("🧡 TATTERED PAST PACKAGE - COMPLETE TRUTH DISCOVERY SYSTEM")
    print("=" * 70)
    
    for inquiry in test_inquiries:
        print(f"\nπŸ” Investigating: '{inquiry}'")
        
        integration = await package.investigate_truth_comprehensively(inquiry)
        report = package.generate_integration_report(integration)
        
        print(f"πŸ“Š Integration Strength: {integration.integration_strength:.1%}")
        print(f"🌠 Revelation Potential: {integration.revelation_potential:.1%}")
        print(f"πŸ”— Cross-Domain Correlations: {len(integration.cross_domain_correlations)}")
        
        if integration.integration_strength > 0.8:
            print("πŸ’« HIGH INTEGRATION - TRANSFORMATIVE POTENTIAL DETECTED")

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