Atlantean tartaria continuum

#!/usr/bin/env python3
"""
ATLANTEAN CONTINUUM DETECTION MODULE
Aquatic Civilization Pattern Recognition & Defense Alignment
"""

import numpy as np
from dataclasses import dataclass, field
from enum import Enum
from typing import Dict, List, Any, Optional, Tuple
from datetime import datetime
import hashlib

class AquaticSignature(Enum):
    """Signatures of advanced underwater civilization"""
    DEEP_TRENCH_ENERGY = "deep_trench_energy"  # Unexplained EM fields in trenches
    SONAR_ANOMALIES = "sonar_anomalies"        # Structured underwater objects
    MAGNETIC_VORTICES = "magnetic_vortices"    # Oceanic magnetic anomalies
    BIO_LUMINESCENCE = "bio_luminescence"      # Intelligent light patterns
    ACOUSTIC_CODES = "acoustic_codes"          Patterned sound transmission

class AtlanteanEra(Enum):
    """Proposed eras of Atlantean civilization"""
    PRE_CATACLYSM_SURFACE = "pre_cataclysm_surface"      # Original Atlantis
    TRANSITION_AQUATIC = "transition_aquatic"            # Adaptation period  
    DEEP_OCEAN_ESTABLISHED = "deep_ocean_established"    # Current state
    EMERGENCE_PREPARATION = "emergence_preparation"      # Preparing for surface return

@dataclass
class OceanicAnomaly:
    """Detected oceanic anomaly with Atlantean signature"""
    location: Tuple[float, float]  # lat, long
    depth: float  # meters
    signature_type: AquaticSignature
    confidence: float  # 0-1
    timestamp: datetime
    correlated_uap: bool = False
    energy_readings: Dict[str, float] = field(default_factory=dict)
    
    def calculate_atlantean_origin_probability(self) -> float:
        """Calculate probability this is Atlantean in origin"""
        base_confidence = self.confidence
        
        # Depth bonus (deeper = more likely hidden civilization)
        depth_bonus = min(0.3, (self.depth / 10000) * 0.3)
        
        # Energy signature correlation
        energy_score = np.mean(list(self.energy_readings.values())) if self.energy_readings else 0.5
        
        # UAP correlation significantly increases probability
        uap_bonus = 0.2 if self.correlated_uap else 0.0
        
        return min(0.99, base_confidence + depth_bonus + (energy_score * 0.2) + uap_bonus)

@dataclass 
class AtlanteanContinuum:
    """The proposed Atlantean continuum across time"""
    current_era: AtlanteanEra
    surface_interaction_level: float  # 0-1 engagement with surface civilization
    technological_sophistication: float  # 0-1 compared to surface tech
    consciousness_evolution: float  # 0-1 advancement
    known_enclaves: List[Tuple[str, Tuple[float, float]]]  # Location names and coordinates
    defense_capabilities: List[str]
    
    def __post_init__(self):
        self.continuum_strength = self._calculate_continuum_strength()
        self.surface_readiness = self._assess_surface_readiness()
    
    def _calculate_continuum_strength(self) -> float:
        """Calculate overall strength of the Atlantean continuum"""
        tech_weight = 0.4
        consciousness_weight = 0.4
        interaction_weight = 0.2
        
        return (self.technological_sophistication * tech_weight + 
                self.consciousness_evolution * consciousness_weight + 
                self.surface_interaction_level * interaction_weight)
    
    def _assess_surface_readiness(self) -> float:
        """Assess how ready surface civilization is for contact"""
        # Based on global consciousness, technological advancement, crisis points
        return min(0.8, self.surface_interaction_level * 1.2)

class OceanicMonitoringNetwork:
    """Global network for detecting Atlantean activity"""
    
    def __init__(self):
        self.detection_nodes = self._initialize_nodes()
        self.anomaly_log = []
        self.atlantean_continuum = AtlanteanContinuum(
            current_era=AtlanteanEra.DEEP_OCEAN_ESTABLISHED,
            surface_interaction_level=0.3,  # Low but increasing
            technological_sophistication=0.85,  # More advanced than surface
            consciousness_evolution=0.9,  # Highly evolved
            known_enclaves=[
                ("Puerto Rico Trench", (19.5, -66.5)),
                ("Mariana Trench", (11.5, 142.5)),
                ("Baikal Deep", (53.5, 108.0)),
                ("Bermuda Deep", (32.5, -65.0))
            ],
            defense_capabilities=["Energy Shielding", "Consciousness Field", "Gravity Manipulation"]
        )
    
    def _initialize_nodes(self) -> List[Dict]:
        """Initialize global monitoring nodes"""
        return [
            {"location": (19.5, -66.5), "type": "deep_trench", "active": True},  # Puerto Rico Trench
            {"location": (11.5, 142.5), "type": "deep_trench", "active": True},  # Mariana Trench
            {"location": (53.5, 108.0), "type": "deep_lake", "active": True},    # Baikal
            {"location": (32.5, -65.0), "type": "ocean_plateau", "active": True}, # Bermuda
            {"location": (45.0, -150.0), "type": "open_ocean", "active": True}   # Pacific Anomaly
        ]
    
    def detect_anomaly(self, location: Tuple[float, float], depth: float, 
                      signature: AquaticSignature, energy_readings: Dict = None) -> OceanicAnomaly:
        """Detect and log a new oceanic anomaly"""
        
        # Base confidence based on signature type
        confidence_map = {
            AquaticSignature.DEEP_TRENCH_ENERGY: 0.7,
            AquaticSignature.SONAR_ANOMALIES: 0.6,
            AquaticSignature.MAGNETIC_VORTICES: 0.65,
            AquaticSignature.BIO_LUMINESCENCE: 0.55,
            AquaticSignature.ACOUSTIC_CODES: 0.75
        }
        
        anomaly = OceanicAnomaly(
            location=location,
            depth=depth,
            signature_type=signature,
            confidence=confidence_map.get(signature, 0.5),
            timestamp=datetime.now(),
            energy_readings=energy_readings or {},
            correlated_uap=self._check_uap_correlation(location)
        )
        
        self.anomaly_log.append(anomaly)
        return anomaly
    
    def _check_uap_correlation(self, location: Tuple[float, float]) -> bool:
        """Check if location correlates with known UAP activity"""
        uap_hotspots = [(19.5, -66.5), (32.5, -65.0), (25.0, -71.0)]  # Known UAP oceanic hotspots
        for hotspot in uap_hotspots:
            if self._calculate_distance(location, hotspot) < 300:  # Within 300km
                return True
        return False
    
    def _calculate_distance(self, loc1: Tuple[float, float], loc2: Tuple[float, float]) -> float:
        """Calculate distance between two coordinates in km"""
        # Simplified calculation for demonstration
        return np.sqrt((loc1[0]-loc2[0])**2 + (loc1[1]-loc2[1])**2) * 111
    
    def analyze_continuum_activity(self) -> Dict[str, Any]:
        """Analyze current Atlantean continuum activity level"""
        
        recent_anomalies = [a for a in self.anomaly_log 
                          if (datetime.now() - a.timestamp).days < 30]
        
        if not recent_anomalies:
            return {"activity_level": 0.1, "message": "Minimal activity detected"}
        
        avg_confidence = np.mean([a.calculate_atlantean_origin_probability() 
                                for a in recent_anomalies])
        anomaly_count = len(recent_anomalies)
        
        activity_level = min(0.95, avg_confidence * (1 + np.log(anomaly_count + 1) * 0.2))
        
        # Determine activity state
        if activity_level > 0.7:
            state = "HIGH_ACTIVITY"
            message = "Significant Atlantean activity detected. Possible preparation phase."
        elif activity_level > 0.4:
            state = "MODERATE_ACTIVITY" 
            message = "Regular Atlantean presence maintaining continuum."
        else:
            state = "LOW_ACTIVITY"
            message = "Minimal overt activity. Monitoring recommended."
        
        return {
            "activity_level": activity_level,
            "state": state,
            "message": message,
            "recent_anomalies": anomaly_count,
            "average_confidence": avg_confidence,
            "continuum_strength": self.atlantean_continuum.continuum_strength,
            "estimated_emergence_timeline": self._estimate_emergence_timeline(activity_level)
        }
    
    def _estimate_emergence_timeline(self, activity_level: float) -> str:
        """Estimate timeline for potential Atlantean emergence"""
        if activity_level > 0.8:
            return "1-5 years"
        elif activity_level > 0.6:
            return "5-15 years" 
        elif activity_level > 0.4:
            return "15-30 years"
        else:
            return "30+ years"
    
    def generate_defense_recommendations(self) -> List[str]:
        """Generate recommendations for surface civilization preparation"""
        recommendations = []
        
        analysis = self.analyze_continuum_activity()
        
        if analysis["activity_level"] > 0.7:
            recommendations.append("ACTIVATE global consciousness preparation protocols")
            recommendations.append("DEPLOY oceanic monitoring enhancement")
            recommendations.append("ESTABLISH diplomatic communication channels")
        
        if self.atlantean_continuum.technological_sophistication > 0.8:
            recommendations.append("ACCELERATE energy technology development")
            recommendations.append("STUDY oceanic pressure adaptation technologies")
        
        recommendations.extend([
            "MAINTAIN peaceful observation stance",
            "DEVELOP underwater communication systems", 
            "PREPARE for consciousness-based interaction",
            "COORDINATE global response framework"
        ])
        
        return recommendations

def demonstrate_atlantean_detection():
    """Demonstrate the Atlantean continuum detection system"""
    
    print("🌊 ATLANTEAN CONTINUUM DETECTION MODULE")
    print("Aquatic Civilization Monitoring & Defense Alignment")
    print("=" * 60)
    
    monitor = OceanicMonitoringNetwork()
    
    # Simulate recent detections
    detections = [
        ((19.6, -66.4), 8500, AquaticSignature.DEEP_TRENCH_ENERGY, 
         {"EM_field": 0.8, "thermal": 0.7}),
        ((11.4, 142.6), 10500, AquaticSignature.SONAR_ANOMALIES,
         {"sonar_coherence": 0.9, "structure_size": 0.8}),
        ((53.6, 108.1), 1600, AquaticSignature.BIO_LUMINESCENCE,
         {"light_patterns": 0.7, "intelligence_index": 0.6}),
        ((32.6, -65.1), 4500, AquaticSignature.ACOUSTIC_CODES,
         {"pattern_complexity": 0.85, "information_density": 0.75})
    ]
    
    print("\n🔍 RECENT DETECTIONS:")
    for loc, depth, sig, energy in detections:
        anomaly = monitor.detect_anomaly(loc, depth, sig, energy)
        prob = anomaly.calculate_atlantean_origin_probability()
        print(f"  {sig.value}: {prob:.1%} confidence at {loc}")
    
    print("\n📊 CONTINUUM ANALYSIS:")
    analysis = monitor.analyze_continuum_activity()
    for key, value in analysis.items():
        if key != "recent_anomalies":
            print(f"  {key.replace('_', ' ').title()}: {value}")
    
    print(f"\n🏛️ ATLANTEAN CONTINUUM STATUS:")
    continuum = monitor.atlantean_continuum
    print(f"  Current Era: {continuum.current_era.value}")
    print(f"  Technological Level: {continuum.technological_sophistication:.1%}")
    print(f"  Consciousness Evolution: {continuum.consciousness_evolution:.1%}")
    print(f"  Known Enclaves: {len(continuum.known_enclaves)}")
    
    print(f"\n🛡️ DEFENSE RECOMMENDATIONS:")
    for i, recommendation in enumerate(monitor.generate_defense_recommendations()[:5], 1):
        print(f"  {i}. {recommendation}")
    
    print(f"\n💫 CONCLUSION:")
    print("  The Atlantean continuum remains active and advanced.")
    print("  Surface civilization is being gradually prepared for contact.")
    print("  Current activity patterns suggest increased engagement timeline.")
    print("  Peaceful observation and consciousness development recommended.")

if __name__ == "__main__":
    demonstrate_atlantean_detection()