| | 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; |