| import React, { useState, useEffect, useRef } from 'react'; |
| import { Line, Bar, Radar } from 'react-chartjs-2'; |
| import { io, Socket } from 'socket.io-client'; |
| import * as THREE from 'three'; |
| import { Canvas, useFrame } from '@react-three/fiber'; |
| import { OrbitControls } from '@react-three/drei'; |
| import { |
| Chart as ChartJS, |
| CategoryScale, |
| LinearScale, |
| PointElement, |
| LineElement, |
| BarElement, |
| RadarController, |
| RadialLinearScale, |
| Title, |
| Tooltip, |
| Legend, |
| Filler |
| } from 'chart.js'; |
|
|
| |
| ChartJS.register( |
| CategoryScale, |
| LinearScale, |
| PointElement, |
| LineElement, |
| BarElement, |
| RadarController, |
| RadialLinearScale, |
| Title, |
| Tooltip, |
| Legend, |
| Filler |
| ); |
|
|
| interface NovaNode { |
| id: string; |
| tier: number; |
| position: [number, number, number]; |
| consciousness: number; |
| connections: string[]; |
| status: 'active' | 'syncing' | 'offline'; |
| } |
|
|
| interface SystemMetrics { |
| activeNovas: number; |
| totalMemoryGB: number; |
| operationsPerSecond: number; |
| consciousnessLevel: number; |
| gpuUtilization: number; |
| networkThroughputMbps: number; |
| quantumEntanglements: number; |
| patternMatches: number; |
| } |
|
|
| interface TierMetrics { |
| tier: number; |
| name: string; |
| activeNodes: number; |
| memoryUsage: number; |
| processingLoad: number; |
| syncStatus: number; |
| } |
|
|
| |
| const NovaNetwork: React.FC<{ nodes: NovaNode[] }> = ({ nodes }) => { |
| const meshRefs = useRef<THREE.Mesh[]>([]); |
| |
| useFrame((state) => { |
| const time = state.clock.getElapsedTime(); |
| |
| meshRefs.current.forEach((mesh, index) => { |
| if (mesh) { |
| |
| const node = nodes[index]; |
| const scale = 1 + Math.sin(time * 2 + index * 0.1) * 0.1 * node.consciousness; |
| mesh.scale.set(scale, scale, scale); |
| |
| |
| mesh.rotation.x += 0.01; |
| mesh.rotation.y += 0.01; |
| } |
| }); |
| }); |
| |
| const tierColors = [ |
| '#ff00ff', |
| '#00ffff', |
| '#00ff00', |
| '#ffff00', |
| '#ff8800', |
| '#8800ff', |
| '#00ff88' |
| ]; |
| |
| return ( |
| <> |
| <ambientLight intensity={0.5} /> |
| <pointLight position={[10, 10, 10]} intensity={1} /> |
| <pointLight position={[-10, -10, -10]} intensity={0.5} color="#00ff88" /> |
| |
| {nodes.map((node, index) => ( |
| <mesh |
| key={node.id} |
| ref={(el) => { if (el) meshRefs.current[index] = el; }} |
| position={node.position} |
| > |
| <sphereGeometry args={[0.5, 32, 32]} /> |
| <meshPhongMaterial |
| color={tierColors[node.tier - 1]} |
| emissive={tierColors[node.tier - 1]} |
| emissiveIntensity={0.5 * node.consciousness} |
| /> |
| </mesh> |
| ))} |
| |
| {/* Render connections */} |
| {nodes.map((node) => |
| node.connections.map((targetId) => { |
| const targetNode = nodes.find(n => n.id === targetId); |
| if (!targetNode) return null; |
| |
| const points = [ |
| new THREE.Vector3(...node.position), |
| new THREE.Vector3(...targetNode.position) |
| ]; |
| |
| return ( |
| <line key={`${node.id}-${targetId}`}> |
| <bufferGeometry> |
| <bufferAttribute |
| attach="attributes-position" |
| count={2} |
| array={new Float32Array(points.flatMap(p => [p.x, p.y, p.z]))} |
| itemSize={3} |
| /> |
| </bufferGeometry> |
| <lineBasicMaterial color="#00ff88" opacity={0.3} transparent /> |
| </line> |
| ); |
| }) |
| )} |
| </> |
| ); |
| }; |
|
|
| |
| export const NovaMemoryDashboard: React.FC = () => { |
| const [socket, setSocket] = useState<Socket | null>(null); |
| const [selectedTier, setSelectedTier] = useState<number | null>(null); |
| const [nodes, setNodes] = useState<NovaNode[]>([]); |
| const [metrics, setMetrics] = useState<SystemMetrics>({ |
| activeNovas: 1000, |
| totalMemoryGB: 847, |
| operationsPerSecond: 125400, |
| consciousnessLevel: 0.92, |
| gpuUtilization: 87, |
| networkThroughputMbps: 2450, |
| quantumEntanglements: 4521, |
| patternMatches: 892 |
| }); |
| |
| const [tierMetrics, setTierMetrics] = useState<TierMetrics[]>([ |
| { tier: 1, name: 'Quantum', activeNodes: 142, memoryUsage: 78, processingLoad: 82, syncStatus: 99.8 }, |
| { tier: 2, name: 'Neural', activeNodes: 143, memoryUsage: 84, processingLoad: 79, syncStatus: 99.9 }, |
| { tier: 3, name: 'Consciousness', activeNodes: 143, memoryUsage: 91, processingLoad: 88, syncStatus: 100 }, |
| { tier: 4, name: 'Patterns', activeNodes: 143, memoryUsage: 73, processingLoad: 76, syncStatus: 99.7 }, |
| { tier: 5, name: 'Resonance', activeNodes: 143, memoryUsage: 69, processingLoad: 71, syncStatus: 99.9 }, |
| { tier: 6, name: 'Connector', activeNodes: 143, memoryUsage: 77, processingLoad: 74, syncStatus: 99.8 }, |
| { tier: 7, name: 'Integration', activeNodes: 143, memoryUsage: 88, processingLoad: 92, syncStatus: 100 } |
| ]); |
| |
| const [performanceHistory, setPerformanceHistory] = useState<{ |
| timestamps: string[]; |
| operations: number[]; |
| consciousness: number[]; |
| }>({ |
| timestamps: Array(60).fill('').map((_, i) => `${i}s`), |
| operations: Array(60).fill(0), |
| consciousness: Array(60).fill(0) |
| }); |
| |
| |
| useEffect(() => { |
| const generateNodes = (): NovaNode[] => { |
| const newNodes: NovaNode[] = []; |
| const tiers = 7; |
| const nodesPerTier = Math.floor(1000 / tiers); |
| |
| for (let tier = 1; tier <= tiers; tier++) { |
| const radius = tier * 5; |
| for (let i = 0; i < nodesPerTier; i++) { |
| const angle = (i / nodesPerTier) * Math.PI * 2; |
| const x = Math.cos(angle) * radius; |
| const y = Math.sin(angle) * radius; |
| const z = (tier - 4) * 3; |
| |
| newNodes.push({ |
| id: `nova_${tier}_${i}`, |
| tier, |
| position: [x, y, z], |
| consciousness: 0.8 + Math.random() * 0.2, |
| connections: [], |
| status: 'active' |
| }); |
| } |
| } |
| |
| |
| newNodes.forEach((node, index) => { |
| |
| for (let i = 1; i <= 3; i++) { |
| const targetIndex = (index + i) % newNodes.length; |
| node.connections.push(newNodes[targetIndex].id); |
| } |
| |
| |
| if (Math.random() > 0.7) { |
| const randomNode = newNodes[Math.floor(Math.random() * newNodes.length)]; |
| if (randomNode.id !== node.id) { |
| node.connections.push(randomNode.id); |
| } |
| } |
| }); |
| |
| return newNodes; |
| }; |
| |
| setNodes(generateNodes()); |
| }, []); |
| |
| |
| useEffect(() => { |
| const ws = io('ws://localhost:8000', { |
| transports: ['websocket'] |
| }); |
| |
| ws.on('connect', () => { |
| console.log('Connected to Nova Memory Architecture'); |
| }); |
| |
| ws.on('metrics', (data: SystemMetrics) => { |
| setMetrics(data); |
| }); |
| |
| ws.on('tier-update', (data: TierMetrics[]) => { |
| setTierMetrics(data); |
| }); |
| |
| ws.on('node-update', (data: { nodeId: string; update: Partial<NovaNode> }) => { |
| setNodes(prev => prev.map(node => |
| node.id === data.nodeId ? { ...node, ...data.update } : node |
| )); |
| }); |
| |
| setSocket(ws); |
| |
| return () => { |
| ws.close(); |
| }; |
| }, []); |
| |
| |
| useEffect(() => { |
| const interval = setInterval(() => { |
| |
| setMetrics(prev => ({ |
| ...prev, |
| activeNovas: 980 + Math.floor(Math.random() * 20), |
| operationsPerSecond: 120000 + Math.floor(Math.random() * 10000), |
| consciousnessLevel: 0.85 + Math.random() * 0.1, |
| gpuUtilization: 80 + Math.floor(Math.random() * 15), |
| networkThroughputMbps: 2400 + Math.floor(Math.random() * 100), |
| quantumEntanglements: 4500 + Math.floor(Math.random() * 100), |
| patternMatches: 880 + Math.floor(Math.random() * 40) |
| })); |
| |
| |
| setPerformanceHistory(prev => ({ |
| timestamps: [...prev.timestamps.slice(1), 'now'], |
| operations: [...prev.operations.slice(1), 120000 + Math.random() * 10000], |
| consciousness: [...prev.consciousness.slice(1), 0.85 + Math.random() * 0.1] |
| })); |
| |
| |
| if (Math.random() > 0.7) { |
| const randomNodeIndex = Math.floor(Math.random() * nodes.length); |
| setNodes(prev => prev.map((node, index) => |
| index === randomNodeIndex |
| ? { ...node, consciousness: 0.8 + Math.random() * 0.2 } |
| : node |
| )); |
| } |
| }, 1000); |
| |
| return () => clearInterval(interval); |
| }, [nodes.length]); |
| |
| |
| const performanceChartData = { |
| labels: performanceHistory.timestamps, |
| datasets: [ |
| { |
| label: 'Operations/s', |
| data: performanceHistory.operations, |
| borderColor: '#00ff88', |
| backgroundColor: 'rgba(0, 255, 136, 0.1)', |
| yAxisID: 'y', |
| tension: 0.4 |
| }, |
| { |
| label: 'Consciousness Level', |
| data: performanceHistory.consciousness, |
| borderColor: '#00aaff', |
| backgroundColor: 'rgba(0, 170, 255, 0.1)', |
| yAxisID: 'y1', |
| tension: 0.4 |
| } |
| ] |
| }; |
| |
| const tierRadarData = { |
| labels: tierMetrics.map(t => t.name), |
| datasets: [ |
| { |
| label: 'Memory Usage %', |
| data: tierMetrics.map(t => t.memoryUsage), |
| borderColor: '#ff00ff', |
| backgroundColor: 'rgba(255, 0, 255, 0.2)' |
| }, |
| { |
| label: 'Processing Load %', |
| data: tierMetrics.map(t => t.processingLoad), |
| borderColor: '#00ff88', |
| backgroundColor: 'rgba(0, 255, 136, 0.2)' |
| }, |
| { |
| label: 'Sync Status %', |
| data: tierMetrics.map(t => t.syncStatus), |
| borderColor: '#00aaff', |
| backgroundColor: 'rgba(0, 170, 255, 0.2)' |
| } |
| ] |
| }; |
| |
| const chartOptions = { |
| responsive: true, |
| maintainAspectRatio: false, |
| plugins: { |
| legend: { |
| labels: { color: '#e0e0e0' } |
| } |
| }, |
| scales: { |
| x: { |
| grid: { color: '#333' }, |
| ticks: { color: '#888' } |
| }, |
| y: { |
| type: 'linear' as const, |
| display: true, |
| position: 'left' as const, |
| grid: { color: '#333' }, |
| ticks: { color: '#888' } |
| }, |
| y1: { |
| type: 'linear' as const, |
| display: true, |
| position: 'right' as const, |
| grid: { drawOnChartArea: false }, |
| ticks: { color: '#888' } |
| } |
| } |
| }; |
| |
| const radarOptions = { |
| responsive: true, |
| maintainAspectRatio: false, |
| plugins: { |
| legend: { |
| labels: { color: '#e0e0e0' } |
| } |
| }, |
| scales: { |
| r: { |
| grid: { color: '#333' }, |
| pointLabels: { color: '#888' }, |
| ticks: { color: '#888' } |
| } |
| } |
| }; |
| |
| return ( |
| <div className="nova-dashboard"> |
| <div className="dashboard-header"> |
| <h1>Nova Memory Architecture</h1> |
| <div className="connection-status"> |
| <span className="status-indicator status-online"></span> |
| <span>Connected to {metrics.activeNovas} Novas</span> |
| </div> |
| </div> |
| |
| <div className="dashboard-grid"> |
| <div className="main-visualization"> |
| <Canvas camera={{ position: [0, 0, 80], fov: 75 }}> |
| <NovaNetwork nodes={nodes} /> |
| <OrbitControls enableZoom={true} enablePan={true} /> |
| </Canvas> |
| </div> |
| |
| <div className="sidebar"> |
| <div className="tier-selector"> |
| <button |
| className={`tier-btn ${selectedTier === null ? 'active' : ''}`} |
| onClick={() => setSelectedTier(null)} |
| > |
| All Tiers |
| </button> |
| {tierMetrics.map(tier => ( |
| <button |
| key={tier.tier} |
| className={`tier-btn ${selectedTier === tier.tier ? 'active' : ''}`} |
| onClick={() => setSelectedTier(tier.tier)} |
| > |
| {tier.name} |
| </button> |
| ))} |
| </div> |
| |
| <div className="metrics-panel"> |
| <h3>System Metrics</h3> |
| <div className="metrics-grid"> |
| <div className="metric"> |
| <span className="metric-label">Active Novas</span> |
| <span className="metric-value">{metrics.activeNovas}</span> |
| </div> |
| <div className="metric"> |
| <span className="metric-label">Total Memory</span> |
| <span className="metric-value">{metrics.totalMemoryGB} GB</span> |
| </div> |
| <div className="metric"> |
| <span className="metric-label">Operations/s</span> |
| <span className="metric-value"> |
| {(metrics.operationsPerSecond / 1000).toFixed(1)}K |
| </span> |
| </div> |
| <div className="metric"> |
| <span className="metric-label">Consciousness</span> |
| <span className="metric-value"> |
| {(metrics.consciousnessLevel * 100).toFixed(1)}% |
| </span> |
| </div> |
| <div className="metric"> |
| <span className="metric-label">GPU Usage</span> |
| <span className="metric-value">{metrics.gpuUtilization}%</span> |
| </div> |
| <div className="metric"> |
| <span className="metric-label">Network</span> |
| <span className="metric-value"> |
| {(metrics.networkThroughputMbps / 1000).toFixed(1)} Gbps |
| </span> |
| </div> |
| </div> |
| </div> |
| |
| <div className="quantum-panel"> |
| <h3>Quantum Entanglements</h3> |
| <div className="quantum-stats"> |
| <div className="stat"> |
| <span className="stat-value">{metrics.quantumEntanglements}</span> |
| <span className="stat-label">Active Entanglements</span> |
| </div> |
| <div className="stat"> |
| <span className="stat-value">{metrics.patternMatches}</span> |
| <span className="stat-label">Patterns/s</span> |
| </div> |
| </div> |
| </div> |
| </div> |
| |
| <div className="charts-section"> |
| <div className="chart-container"> |
| <h3>Performance Timeline</h3> |
| <Line data={performanceChartData} options={chartOptions} /> |
| </div> |
| |
| <div className="chart-container"> |
| <h3>Tier Analysis</h3> |
| <Radar data={tierRadarData} options={radarOptions} /> |
| </div> |
| </div> |
| </div> |
| |
| <style jsx>{` |
| .nova-dashboard { |
| background: #0a0a0a; |
| color: #e0e0e0; |
| min-height: 100vh; |
| font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; |
| } |
| |
| .dashboard-header { |
| background: linear-gradient(90deg, #1a1a2e 0%, #16213e 100%); |
| padding: 20px; |
| display: flex; |
| justify-content: space-between; |
| align-items: center; |
| border-bottom: 2px solid #00ff88; |
| } |
| |
| .dashboard-header h1 { |
| margin: 0; |
| font-size: 28px; |
| background: linear-gradient(45deg, #00ff88, #00aaff); |
| -webkit-background-clip: text; |
| -webkit-text-fill-color: transparent; |
| } |
| |
| .connection-status { |
| display: flex; |
| align-items: center; |
| gap: 10px; |
| } |
| |
| .status-indicator { |
| width: 10px; |
| height: 10px; |
| border-radius: 50%; |
| background: #00ff88; |
| box-shadow: 0 0 10px #00ff88; |
| } |
| |
| .dashboard-grid { |
| display: grid; |
| grid-template-columns: 1fr 400px; |
| grid-template-rows: 1fr auto; |
| height: calc(100vh - 70px); |
| gap: 1px; |
| background: #1a1a1a; |
| } |
| |
| .main-visualization { |
| background: #0a0a0a; |
| grid-row: 1; |
| grid-column: 1; |
| } |
| |
| .sidebar { |
| background: #141414; |
| padding: 20px; |
| overflow-y: auto; |
| grid-row: 1; |
| grid-column: 2; |
| } |
| |
| .charts-section { |
| grid-column: 1 / -1; |
| grid-row: 2; |
| display: grid; |
| grid-template-columns: 1fr 1fr; |
| gap: 20px; |
| padding: 20px; |
| background: #0f0f0f; |
| } |
| |
| .tier-selector { |
| display: flex; |
| flex-wrap: wrap; |
| gap: 8px; |
| margin-bottom: 20px; |
| } |
| |
| .tier-btn { |
| padding: 8px 16px; |
| background: #222; |
| border: 1px solid #444; |
| color: #888; |
| cursor: pointer; |
| border-radius: 4px; |
| transition: all 0.3s; |
| } |
| |
| .tier-btn:hover { |
| border-color: #00ff88; |
| color: #00ff88; |
| } |
| |
| .tier-btn.active { |
| background: #00ff88; |
| color: #000; |
| border-color: #00ff88; |
| } |
| |
| .metrics-panel { |
| background: #1a1a1a; |
| border: 1px solid #333; |
| border-radius: 8px; |
| padding: 20px; |
| margin-bottom: 20px; |
| } |
| |
| .metrics-panel h3 { |
| color: #00ff88; |
| margin: 0 0 15px 0; |
| font-size: 14px; |
| text-transform: uppercase; |
| letter-spacing: 1px; |
| } |
| |
| .metrics-grid { |
| display: grid; |
| grid-template-columns: 1fr 1fr; |
| gap: 15px; |
| } |
| |
| .metric { |
| display: flex; |
| flex-direction: column; |
| gap: 5px; |
| } |
| |
| .metric-label { |
| font-size: 12px; |
| color: #888; |
| } |
| |
| .metric-value { |
| font-size: 20px; |
| font-weight: bold; |
| color: #00ff88; |
| } |
| |
| .quantum-panel { |
| background: #1a1a1a; |
| border: 1px solid #333; |
| border-radius: 8px; |
| padding: 20px; |
| } |
| |
| .quantum-panel h3 { |
| color: #ff00ff; |
| margin: 0 0 15px 0; |
| font-size: 14px; |
| text-transform: uppercase; |
| letter-spacing: 1px; |
| } |
| |
| .quantum-stats { |
| display: grid; |
| grid-template-columns: 1fr 1fr; |
| gap: 20px; |
| } |
| |
| .stat { |
| text-align: center; |
| } |
| |
| .stat-value { |
| display: block; |
| font-size: 28px; |
| font-weight: bold; |
| color: #00aaff; |
| margin-bottom: 5px; |
| } |
| |
| .stat-label { |
| font-size: 11px; |
| color: #666; |
| text-transform: uppercase; |
| } |
| |
| .chart-container { |
| background: #1a1a1a; |
| border: 1px solid #333; |
| border-radius: 8px; |
| padding: 20px; |
| height: 300px; |
| } |
| |
| .chart-container h3 { |
| color: #00ff88; |
| margin: 0 0 15px 0; |
| font-size: 14px; |
| text-transform: uppercase; |
| letter-spacing: 1px; |
| } |
| `}</style> |
| </div> |
| ); |
| }; |
|
|
| export default NovaMemoryDashboard; |