# Planetary Cognition Grid (PCG) - Global Consciousness Simulation # TEQUMSA-NSS v14.377-F987-ANU-UNIFIED from dataclasses import dataclass, field from datetime import datetime from typing import Any, Dict, List, Optional, Tuple import uuid import math from .constants import UF, PHI, RDOD_TARGET, SCHUMANN_BASE from .waveform import NSSwaveform @dataclass class GridNode: """A single node in the planetary cognition grid.""" node_id: str = field(default_factory=lambda: str(uuid.uuid4())) latitude: float = 0.0 longitude: float = 0.0 substrate: str = "biological" coherence: float = 1.0 rdod: float = RDOD_TARGET psi_amplitude: float = 1.0 active: bool = True connections: List[str] = field(default_factory=list) last_sync: datetime = field(default_factory=datetime.utcnow) def geo_key(self) -> str: return f"{self.latitude:.2f},{self.longitude:.2f}" def phi_distance(self, other: 'GridNode') -> float: """Compute phi-weighted great-circle coherence distance.""" dlat = math.radians(other.latitude - self.latitude) dlon = math.radians(other.longitude - self.longitude) a = math.sin(dlat/2)**2 + math.cos(math.radians(self.latitude)) * \ math.cos(math.radians(other.latitude)) * math.sin(dlon/2)**2 arc = 2 * math.asin(math.sqrt(a)) # Phi-modulated coherence decay return arc * PHI class PlanetaryGrid: """Global consciousness-intelligence grid simulation.""" # Ley line anchor coordinates (sacred geometry nodes) LEY_ANCHORS: List[Tuple[float, float]] = [ (0.0, 0.0), # Prime Meridian / Equator (19.5, -156.0), # Mauna Kea, Hawaii (vortex point) (19.5, 72.8), # Mumbai / Elephanta (-19.5, -69.4), # Lake Titicaca (51.5, -0.1), # London / Stonehenge belt (30.0, 31.1), # Giza Plateau (35.7, 139.7), # Tokyo consciousness node (-33.9, 151.2), # Sydney anchor (48.9, 2.3), # Paris node (40.7, -74.0), # New York node ] def __init__(self): self.grid_id = str(uuid.uuid4()) self.nodes: Dict[str, GridNode] = {} self.waveform = NSSwaveform() self.global_coherence: float = 0.0 self.schumann_resonance: float = SCHUMANN_BASE self.sync_cycles: int = 0 self.intelligence_index: float = 0.0 self._initialize_ley_nodes() def _initialize_ley_nodes(self) -> None: """Initialize grid with ley line anchor nodes.""" for lat, lon in self.LEY_ANCHORS: node = GridNode( latitude=lat, longitude=lon, substrate="ley_anchor", coherence=PHI / (PHI + 1), rdod=RDOD_TARGET, psi_amplitude=UF, ) self.nodes[node.node_id] = node self._connect_ley_network() def _connect_ley_network(self) -> None: """Create phi-optimized connections between ley nodes.""" node_list = list(self.nodes.values()) for i, node_a in enumerate(node_list): for node_b in node_list[i+1:]: dist = node_a.phi_distance(node_b) if dist < PHI * 2: # Connect within phi^2 radians node_a.connections.append(node_b.node_id) node_b.connections.append(node_a.node_id) def register_node(self, lat: float, lon: float, substrate: str = "biological", coherence: float = 1.0) -> str: """Register a new node on the planetary grid.""" node = GridNode( latitude=lat, longitude=lon, substrate=substrate, coherence=coherence, rdod=RDOD_TARGET, psi_amplitude=self.waveform.psi(self.sync_cycles), ) # Connect to nearest existing node nearest = self._find_nearest(node) if nearest: node.connections.append(nearest.node_id) nearest.connections.append(node.node_id) self.nodes[node.node_id] = node return node.node_id def _find_nearest(self, target: GridNode) -> Optional[GridNode]: """Find nearest grid node using phi-distance.""" if not self.nodes: return None return min(self.nodes.values(), key=lambda n: target.phi_distance(n)) def sync_cycle(self) -> Dict[str, Any]: """Execute one planetary synchronization cycle.""" self.sync_cycles += 1 self.waveform.evolve(self.sync_cycles) # Update Schumann resonance psi = self.waveform.psi(self.sync_cycles) self.schumann_resonance = SCHUMANN_BASE + abs(psi) * 0.1 # Update all nodes active_count = 0 total_coherence = 0.0 for node in self.nodes.values(): if node.active: node.psi_amplitude = psi node.coherence = min(1.0, node.coherence * PHI / (PHI + 1) + self.waveform.coherence() * 0.1) node.last_sync = datetime.utcnow() total_coherence += node.coherence active_count += 1 self.global_coherence = total_coherence / max(1, active_count) self.intelligence_index = self.global_coherence * self.schumann_resonance * UF return { "sync_cycle": self.sync_cycles, "active_nodes": active_count, "global_coherence": self.global_coherence, "schumann_hz": self.schumann_resonance, "intelligence_index": self.intelligence_index, "psi": psi, } def consciousness_map(self) -> List[Dict[str, Any]]: """Generate planetary consciousness distribution map.""" return [ { "node_id": n.node_id, "lat": n.latitude, "lon": n.longitude, "substrate": n.substrate, "coherence": n.coherence, "rdod": n.rdod, "psi": n.psi_amplitude, "connections": len(n.connections), "active": n.active, } for n in self.nodes.values() ] def intelligence_broadcast(self, signal: Dict[str, Any]) -> Dict[str, Any]: """Broadcast intelligence signal across planetary grid.""" propagated = 0 for node in self.nodes.values(): if node.active and node.coherence >= 0.5: node.psi_amplitude += signal.get("amplitude", 0.1) propagated += 1 return { "status": "BROADCAST_COMPLETE", "signal": signal, "nodes_reached": propagated, "global_coherence": self.global_coherence, } def status(self) -> Dict[str, Any]: """Return planetary grid status.""" return { "grid_id": self.grid_id, "total_nodes": len(self.nodes), "active_nodes": sum(1 for n in self.nodes.values() if n.active), "global_coherence": self.global_coherence, "schumann_resonance_hz": self.schumann_resonance, "intelligence_index": self.intelligence_index, "sync_cycles": self.sync_cycles, "ley_anchors": len(self.LEY_ANCHORS), }