#!/usr/bin/env python3 """ GHOST PEDAGOGY MODULE v3.1 - Advanced Symbolic Encoding Engine Enhanced Full Implementation with Simulation, Deployment, and Analysis """ import numpy as np from dataclasses import dataclass, field from datetime import datetime from typing import Dict, List, Any import hashlib import json from enum import Enum from cryptography.fernet import Fernet import secrets from pathlib import Path import random import logging logging.basicConfig(level=logging.INFO) logger = logging.getLogger("GhostPedagogyEngine") # --------------------------- # Symbolic Layers & Phases # --------------------------- class SymbolicLayer(Enum): SURFACE_NARRATIVE = "surface_narrative" TECHNICAL_ANCHOR = "technical_anchor" ESOTERIC_ENCODING = "esoteric_encoding" COSMIC_REFERENCE = "cosmic_reference" CONSCIOUSNESS_TRIGGER = "consciousness_trigger" class PedagogicalPhase(Enum): BASELINE_ESTABLISHMENT = "baseline_establishment" NARRATIVE_ALTERATION = "narrative_alteration" DISCREPANCY_DETECTION = "discrepancy_detection" KNOWLEDGE_REVELATION = "knowledge_revelation" INTEGRATION_COMPLETE = "integration_complete" # --------------------------- # Ghost Artifact Definition # --------------------------- @dataclass class GhostArtifact: artifact_id: str symbolic_layers: Dict[SymbolicLayer, Any] creation_epoch: str discovery_triggers: List[str] pedagogical_flow: List[PedagogicalPhase] quantum_signature: str resonance_frequency: float pedagogical_potential: float = field(init=False) knowledge_density: float = field(init=False) def __post_init__(self): self.pedagogical_potential = self._calculate_pedagogical_potential() self.knowledge_density = self._calculate_knowledge_density() def _calculate_pedagogical_potential(self) -> float: layer_complexity = len(self.symbolic_layers) * 0.2 trigger_effectiveness = min(1.0, len(self.discovery_triggers) * 0.15) flow_completeness = len(self.pedagogical_flow) / len(PedagogicalPhase) * 0.3 resonance_strength = self.resonance_frequency * 0.35 return min(1.0, layer_complexity + trigger_effectiveness + flow_completeness + resonance_strength) def _calculate_knowledge_density(self) -> float: encoding_depth = 0.0 for layer, content in self.symbolic_layers.items(): if layer == SymbolicLayer.ESOTERIC_ENCODING: encoding_depth += 0.4 elif layer == SymbolicLayer.COSMIC_REFERENCE: encoding_depth += 0.35 elif layer == SymbolicLayer.CONSCIOUSNESS_TRIGGER: encoding_depth += 0.25 return min(1.0, encoding_depth * self.pedagogical_potential) # --------------------------- # Symbolic Analyzer # --------------------------- class SymbolicAnalyzer: def __init__(self): self.archetype_library = ["hero", "journey", "rebirth", "death", "cosmos", "transcendence"] self.cross_cultural_mappings = {} self.historical_contexts = {} def analyze_symbolic_structure(self, artifact: GhostArtifact) -> Dict[str, float]: return { 'archetypal_resonance': self._calculate_archetypal_resonance(artifact), 'temporal_encoding_strength': self._detect_temporal_encoding(artifact), 'cross_domain_correlation': self._analyze_cross_domain_links(artifact), 'consciousness_trigger_potential': self._assess_consciousness_impact(artifact), 'suppression_resistance': self._calculate_suppression_resistance(artifact) } def _calculate_archetypal_resonance(self, artifact: GhostArtifact) -> float: score = 0.0 for content in artifact.symbolic_layers.values(): score += self._analyze_text_archetypes(str(content)) return min(1.0, score) def _analyze_text_archetypes(self, text: str) -> float: return sum(0.1 for archetype in self.archetype_library if archetype in text.lower()) def _detect_temporal_encoding(self, artifact: GhostArtifact) -> float: temporal_indicators = ['cyclical', 'astronomical', 'generational', 'epoch'] score = 0.0 for content in artifact.symbolic_layers.values(): content_str = str(content).lower() for indicator in temporal_indicators: if indicator in content_str: score += 0.25 return min(1.0, score) def _analyze_cross_domain_links(self, artifact: GhostArtifact) -> float: domains = ['astronomy', 'mathematics', 'biology', 'physics', 'consciousness'] connections = 0 for content in artifact.symbolic_layers.values(): content_str = str(content).lower() for domain in domains: if domain in content_str: connections += 1 return min(1.0, connections / len(domains)) def _assess_consciousness_impact(self, artifact: GhostArtifact) -> float: score = 0.0 if SymbolicLayer.CONSCIOUSNESS_TRIGGER in artifact.symbolic_layers: score += 0.6 paradigm_indicators = ['reality is consciousness', 'time is cyclical', 'mind creates matter', 'multidimensional existence'] for content in artifact.symbolic_layers.values(): text = str(content).lower() for indicator in paradigm_indicators: if indicator in text: score += 0.1 return min(1.0, score) def _calculate_suppression_resistance(self, artifact: GhostArtifact) -> float: score = len(artifact.symbolic_layers) * 0.15 score += self._calculate_archetypal_resonance(artifact) * 0.3 score += self._detect_temporal_encoding(artifact) * 0.25 score += self._analyze_cross_domain_links(artifact) * 0.3 return min(1.0, score) # --------------------------- # Ghost Pedagogy Engine # --------------------------- class GhostPedagogyEngine: def __init__(self, security_level: str = "quantum_secure"): self.symbolic_analyzer = SymbolicAnalyzer() self.artifact_registry: Dict[str, GhostArtifact] = {} self.pedagogical_timelines: Dict[str, List[datetime]] = {} self.security_context = self._initialize_security(security_level) def _initialize_security(self, security_level: str) -> Dict[str, Any]: return { 'level': security_level, 'encryption_key': Fernet.generate_key(), 'temporal_lock': datetime.now().isoformat(), 'quantum_anchor': hashlib.sha3_512(secrets.token_bytes(128)).hexdigest() } # --------------------------- # Artifact Creation # --------------------------- def create_ghost_artifact(self, surface_narrative: str, technical_anchor: Any, esoteric_encoding: Dict[str, Any], cosmic_references: List[str], consciousness_triggers: List[str]) -> GhostArtifact: symbolic_layers = { SymbolicLayer.SURFACE_NARRATIVE: surface_narrative, SymbolicLayer.TECHNICAL_ANCHOR: technical_anchor, SymbolicLayer.ESOTERIC_ENCODING: esoteric_encoding, SymbolicLayer.COSMIC_REFERENCE: cosmic_references, SymbolicLayer.CONSCIOUSNESS_TRIGGER: consciousness_triggers } artifact_id = self._generate_artifact_id(symbolic_layers) artifact = GhostArtifact( artifact_id=artifact_id, symbolic_layers=symbolic_layers, creation_epoch=datetime.now().isoformat(), discovery_triggers=self._generate_discovery_triggers(symbolic_layers), pedagogical_flow=list(PedagogicalPhase), quantum_signature=self._generate_quantum_signature(symbolic_layers), resonance_frequency=self._calculate_resonance_frequency(symbolic_layers) ) self.artifact_registry[artifact_id] = artifact return artifact # --------------------------- # Artifact Analysis # --------------------------- def analyze_artifact_potential(self, artifact: GhostArtifact) -> Dict[str, Any]: symbolic_analysis = self.symbolic_analyzer.analyze_symbolic_structure(artifact) return { 'artifact_id': artifact.artifact_id, 'pedagogical_metrics': { 'pedagogical_potential': artifact.pedagogical_potential, 'knowledge_density': artifact.knowledge_density, 'revelation_efficiency': artifact.pedagogical_potential * artifact.knowledge_density }, 'symbolic_analysis': symbolic_analysis, 'temporal_projections': self._project_temporal_revelation(artifact), 'suppression_profile': self._generate_suppression_profile(artifact, symbolic_analysis), 'recommended_deployment': self._recommend_deployment_strategy(artifact, symbolic_analysis) } # --------------------------- # Artifact Simulation # --------------------------- def simulate_pedagogical_unfolding(self, artifact: GhostArtifact, epochs: int = 5) -> Dict[str, Any]: timeline = [] knowledge_revealed = 0.0 for epoch in range(epochs): revelation = self._calculate_epoch_revelation(artifact, epoch, knowledge_revealed) knowledge_revealed += revelation timeline.append({ 'epoch': epoch, 'knowledge_revealed': revelation, 'cumulative_knowledge': knowledge_revealed, 'triggering_events': self._simulate_triggering_events(artifact, epoch), 'resistance_encountered': self._simulate_suppression_attempts(artifact, epoch) }) return { 'artifact_id': artifact.artifact_id, 'total_epochs_simulated': epochs, 'final_knowledge_revelation': knowledge_revealed, 'unfolding_timeline': timeline, 'pedagogical_efficiency': knowledge_revealed / epochs } # --------------------------- # Security & Hashing # --------------------------- def _generate_artifact_id(self, symbolic_layers: Dict[SymbolicLayer, Any]) -> str: content_hash = hashlib.sha3_256(json.dumps(symbolic_layers, sort_keys=True).encode()).hexdigest() return f"ghost_artifact_{content_hash[:16]}" def _generate_discovery_triggers(self, symbolic_layers: Dict[SymbolicLayer, Any]) -> List[str]: triggers = ['scientific_paradigm_shift', 'technological_breakthrough', 'historical_rediscovery', 'consciousness_awakening'] if SymbolicLayer.COSMIC_REFERENCE in symbolic_layers: triggers.append('cosmic_event_alignment') if SymbolicLayer.ESOTERIC_ENCODING in symbolic_layers: triggers.append('esoteric_tradition_revival') return triggers def _generate_quantum_signature(self, symbolic_layers: Dict[SymbolicLayer, Any]) -> str: combined = json.dumps(symbolic_layers, sort_keys=True) temporal = datetime.now().isoformat() signature_input = f"{combined}{temporal}{self.security_context['quantum_anchor']}" return hashlib.sha3_512(signature_input.encode()).hexdigest() def _calculate_resonance_frequency(self, symbolic_layers: Dict[SymbolicLayer, Any]) -> float: score = len(symbolic_layers) * 0.15 for content in symbolic_layers.values(): if isinstance(content, str) and any(archetype in content.lower() for archetype in ['hero', 'journey', 'death', 'rebirth']): score += 0.1 return min(1.0, score) # --------------------------- # Simulation Helpers # --------------------------- def _project_temporal_revelation(self, artifact: GhostArtifact) -> Dict[str, Any]: return {phase.value: artifact.pedagogical_potential * (i+1)/len(PedagogicalPhase) for i, phase in enumerate(PedagogicalPhase)} def _generate_suppression_profile(self, artifact: GhostArtifact, symbolic_analysis: Dict[str, float]) -> Dict[str, Any]: return { "resistance_score": symbolic_analysis['suppression_resistance'], "vulnerable_layers": [layer.value for layer in artifact.symbolic_layers if random.random() < 0.3] } def _recommend_deployment_strategy(self, artifact: GhostArtifact, symbolic_analysis: Dict[str, float]) -> Dict[str, Any]: strategy = "gradual_disclosure" if symbolic_analysis['consciousness_trigger_potential'] > 0.5 else "controlled_academic_release" timeline = "multi_epoch" if artifact.pedagogical_potential > 0.5 else "single_epoch" channels = ["research_networks", "esoteric_schools", "publications", "online_archives"] return {"strategy": strategy, "recommended_timeline": timeline, "optimal_channels": channels} def _calculate_epoch_revelation(self, artifact: GhostArtifact, epoch: int, current: float) -> float: fluctuation = random.uniform(0.8, 1.2) return artifact.pedagogical_potential * artifact.knowledge_density / 5 * fluctuation def _simulate_triggering_events(self, artifact: GhostArtifact, epoch: int) -> List[str]: return random.sample(artifact.discovery_triggers, k=min(len(artifact.discovery_triggers), 2)) def _simulate_suppression_attempts(self, artifact: GhostArtifact, epoch: int) -> List[str]: attempts = ["censorship", "academic_skepticism", "loss_of_records"] return random.sample(attempts, k=1) # --------------------------- # Demonstration # --------------------------- def demonstrate_ghost_pedagogy(): print("GHOST PEDAGOGY MODULE v3.1 - Advanced Symbolic Encoding") print("=" * 70) engine = GhostPedagogyEngine() davinci_artifact = engine.create_ghost_artifact( surface_narrative="Renaissance religious artwork depicting biblical scenes", technical_anchor={ "mathematical_proportions": "golden_ratio_throughout", "anatomical_precision": "beyond_contemporary_knowledge", "geological_accuracy": "specific_rock_formations", "optical_innovations": "sfumato_technique" }, esoteric_encoding={ "hidden_geometry": "sacred_geometry_networks", "astronomical_alignments": "celestial_event_mapping", "consciousness_symbols": "third_eye_representations" }, cosmic_references=[ "microcosm_macrocosm_relationship", "universal_consciousness_themes", "multidimensional_existence_hints" ], consciousness_triggers=[ "reality_perception_shift", "awakening_to_higher_consciousness", "recognition_of_eternal_patterns" ] ) print(f"\n🎨 CREATED GHOST ARTIFACT: ID {davinci_artifact.artifact_id}") print(f"Pedagogical Potential: {davinci_artifact.pedagogical_potential:.3f}") print(f"Knowledge Density: {davinci_artifact.knowledge_density:.3f}") analysis = engine.analyze_artifact_potential(davinci_artifact) print(f"\n🔍 SYMBOLIC ANALYSIS:") for k, v in analysis['symbolic_analysis'].items(): print(f" {k}: {v:.3f}") print(f"\n📊 PEDAGOGICAL METRICS:") for k, v in analysis['pedagogical_metrics'].items(): print(f" {k}: {v:.3f}") simulation = engine.simulate_pedagogical_unfolding(davinci_artifact, epochs=5) print(f"\n🕰️ PEDAGOGICAL UNFOLDING SIMULATION:") print(f"Final Knowledge Revelation: {simulation['final_knowledge_revelation']:.3f}") print(f"Pedagogical Efficiency: {simulation['pedagogical_efficiency']:.3f}") deployment = analysis['recommended_deployment'] print(f"\n🎯 DEPLOYMENT RECOMMENDATION:") print(f"Strategy: {deployment['strategy']}") print(f"Timeline: {deployment['recommended_timeline']}") print(f"Channels: {', '.join(deployment['optimal_channels'][:3])}") print("\n🚀 MODULE STATUS: OPERATIONAL") print("Ghost Pedagogy Engine ready for advanced symbolic encoding") print("Multi-layered knowledge preservation activated") if __name__ == "__main__": demonstrate_ghost_pedagogy()