Buckets:
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
| <title>Unified Neural Jacuzzi Dashboard</title> | |
| <style> | |
| body { margin: 0; background: #050206; overflow: hidden; font-family: 'Courier New', Courier, monospace; color: #0ff; } | |
| #ui-layer { | |
| position: absolute; | |
| bottom: 0; | |
| width: 100%; | |
| background: rgba(0, 0, 20, 0.85); | |
| border-top: 1px solid #00f; | |
| padding: 20px; | |
| z-index: 100; | |
| display: flex; | |
| justify-content: space-around; | |
| align-items: center; | |
| } | |
| .stat-box { text-align: center; border: 1px solid #0ff; padding: 10px; min-width: 200px; box-shadow: 0 0 10px #00f; } | |
| #youtube-bg { | |
| position: absolute; | |
| top: 50%; | |
| left: 50%; | |
| transform: translate(-50%, -50%); | |
| width: 560px; | |
| height: 315px; | |
| z-index: 5; | |
| opacity: 0.4; | |
| pointer-events: none; | |
| } | |
| canvas { display: block; } | |
| h2 { margin: 0 0 10px 0; font-size: 14px; text-transform: uppercase; } | |
| </style> | |
| </head> | |
| <body> | |
| <iframe id="youtube-bg" | |
| src="https://www.youtube.com/embed/93yStHzWL_A?autoplay=1&mute=1&loop=1&playlist=93yStHzWL_A" | |
| frameborder="0"></iframe> | |
| <div id="ui-layer"> | |
| <div class="stat-box"> | |
| <h2>Disk Recovery</h2> | |
| <div id="disk-status">Status: Waiting...</div> | |
| </div> | |
| <div class="stat-box"> | |
| <h2>GPU Yield (Vyper)</h2> | |
| <div id="yield-status">Gained: 0.00000000 ETH</div> | |
| </div> | |
| <div class="stat-box"> | |
| <h2>Neural Frequency</h2> | |
| <input type="range" id="freq" min="0.1" max="10" step="0.1" value="1"> | |
| </div> | |
| </div> | |
| <script src="https://cdnjs.cloudflare.com/ajax/libs/three.js/r128/three.min.js"></script> | |
| <script> | |
| const scene = new THREE.Scene(); | |
| const camera = new THREE.PerspectiveCamera(75, window.innerWidth / window.innerHeight, 0.1, 1000); | |
| const renderer = new THREE.WebGLRenderer({ antialias: true, alpha: true }); | |
| renderer.setSize(window.innerWidth, window.innerHeight); | |
| document.body.appendChild(renderer.domElement); | |
| // Lighting | |
| const pLight = new THREE.PointLight(0x00ffff, 2, 50); | |
| pLight.position.set(0, 5, 5); | |
| scene.add(pLight); | |
| scene.add(new THREE.AmbientLight(0x111133)); | |
| // Jacuzzi Geometry | |
| const jacuzziGeo = new THREE.CylinderGeometry(4, 4, 2, 64, 1, true); | |
| const jacuzziMat = new THREE.MeshPhongMaterial({ | |
| color: 0x001133, | |
| wireframe: true, | |
| transparent: true, | |
| opacity: 0.2 | |
| }); | |
| const jacuzzi = new THREE.Mesh(jacuzziGeo, jacuzziMat); | |
| scene.add(jacuzzi); | |
| // Neural Core (The "Static" Object) | |
| const coreGeo = new THREE.SphereGeometry(1.5, 64, 64); | |
| const coreMat = new THREE.ShaderMaterial({ | |
| uniforms: { | |
| time: { value: 1.0 }, | |
| intensity: { value: 1.0 } | |
| }, | |
| vertexShader: `varying vec2 vUv; void main() { vUv = uv; gl_Position = projectionMatrix * modelViewMatrix * vec4(position, 1.0); }`, | |
| fragmentShader: ` | |
| varying vec2 vUv; | |
| uniform float time; | |
| uniform float intensity; | |
| void main() { | |
| float noise = fract(sin(dot(vUv ,vec2(12.9898,78.233)*time)) * 43758.5453); | |
| gl_FragColor = vec4(vec3(0.0, 1.0, 1.0) * noise * intensity, 0.8); | |
| }`, | |
| transparent: true | |
| }); | |
| const core = new THREE.Mesh(coreGeo, coreMat); | |
| scene.add(core); | |
| camera.position.z = 10; | |
| let freqValue = 1.0; | |
| document.getElementById('freq').addEventListener('input', (e) => freqValue = e.target.value); | |
| // Simulated Data Fetching from your Python Backends | |
| async function fetchMetrics() { | |
| try { | |
| // In a real deployment, these would be local API endpoints | |
| const yieldData = { amount_gained: (0.4433 * 1.618).toFixed(8) }; | |
| const diskData = { current_available_percent: 82.5 }; | |
| document.getElementById('yield-status').innerText = `Gained: ${yieldData.amount_gained} ETH`; | |
| document.getElementById('disk-status').innerText = `Available: ${diskData.current_available_percent}%`; | |
| // Visual feedback based on yield | |
| coreMat.uniforms.intensity.value = 0.5 + (parseFloat(yieldData.amount_gained) * 0.5); | |
| } catch (e) { | |
| console.log("Waiting for backend commitment..."); | |
| } | |
| } | |
| function animate() { | |
| requestAnimationFrame(animate); | |
| const t = Date.now() * 0.001; | |
| coreMat.uniforms.time.value = t * freqValue; | |
| jacuzzi.rotation.y += 0.005 * freqValue; | |
| // Pulse effect | |
| core.scale.setScalar(1 + Math.sin(t * freqValue) * 0.1); | |
| renderer.render(scene, camera); | |
| } | |
| setInterval(fetchMetrics, 2000); | |
| animate(); | |
| window.addEventListener('resize', () => { | |
| camera.aspect = window.innerWidth / window.innerHeight; | |
| camera.updateProjectionMatrix(); | |
| renderer.setSize(window.innerWidth, window.innerHeight); | |
| }); | |
| </script> | |
| </body> | |
| </html> |
Xet Storage Details
- Size:
- 4.98 kB
- Xet hash:
- b0e8f12d88c344227c9fedcc979db5f97319a731da86cf1c22b6b6233a07684d
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.