Create ghost pedagogy

ghost pedagogy

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+#!/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()