Consciousness / TATTERED PAST PACKAGE
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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())