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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';
// Register Chart.js components
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;
}
// 3D Nova Network Visualization Component
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) {
// Pulse effect based on consciousness level
const node = nodes[index];
const scale = 1 + Math.sin(time * 2 + index * 0.1) * 0.1 * node.consciousness;
mesh.scale.set(scale, scale, scale);
// Rotation
mesh.rotation.x += 0.01;
mesh.rotation.y += 0.01;
}
});
});
const tierColors = [
'#ff00ff', // Quantum
'#00ffff', // Neural
'#00ff00', // Consciousness
'#ffff00', // Patterns
'#ff8800', // Resonance
'#8800ff', // Connector
'#00ff88' // Integration
];
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>
);
})
)}
</>
);
};
// Main Dashboard Component
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) => `${i}s`),
operations: Array(60).fill(0),
consciousness: Array(60).fill(0)
});
// Initialize nodes
useEffect(() => {
const generateNodes = (): NovaNode[] => {
const newNodes: NovaNode[] = [];
const tiers = 7;
const nodesPerTier = Math.floor(1000 / tiers);
for (let tier = 1; tier <= tiers; tier++) {
const radius = tier * 5;
for (let i = 0; i < nodesPerTier; i++) {
const angle = (i / nodesPerTier) * Math.PI * 2;
const x = Math.cos(angle) * radius;
const y = Math.sin(angle) * radius;
const z = (tier - 4) * 3;
newNodes.push({
id: `nova_${tier}_${i}`,
tier,
position: [x, y, z],
consciousness: 0.8 + Math.random() * 0.2,
connections: [],
status: 'active'
});
}
}
// Create connections
newNodes.forEach((node, index) => {
// Connect to nearby nodes
for (let i = 1; i <= 3; i++) {
const targetIndex = (index + i) % newNodes.length;
node.connections.push(newNodes[targetIndex].id);
}
// Cross-tier connections
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());
}, []);
// WebSocket connection
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();
};
}, []);
// Simulate real-time updates
useEffect(() => {
const interval = setInterval(() => {
// Update metrics
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)
}));
// Update performance history
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]
}));
// Random node updates
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]);
// Chart configurations
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;