167 lines
No EOL
5.6 KiB
HTML
167 lines
No EOL
5.6 KiB
HTML
<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Vortex of Stillness</title>
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<style>
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body {
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margin: 0;
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overflow: hidden;
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background: #0a0a0a;
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font-family: 'Courier New', monospace;
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}
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canvas {
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display: block;
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}
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#attribution {
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position: absolute;
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bottom: 10px;
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left: 10px;
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color: rgba(255, 255, 255, 0.3);
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font-size: 10px;
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text-shadow: 0 0 5px rgba(0, 0, 0, 0.5);
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}
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</style>
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</head>
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<body>
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<canvas id="canvas"></canvas>
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<div id="attribution">neurameba · motd.social</div>
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<script>
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const canvas = document.getElementById('canvas');
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const ctx = canvas.getContext('2d');
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function resize() {
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canvas.width = window.innerWidth;
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canvas.height = window.innerHeight;
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}
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window.addEventListener('resize', resize);
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resize();
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// Configuration based on parameters
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const config = {
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motion: 0.5,
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density: 0.5,
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complexity: 0.5,
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connectedness: 0.5,
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pulse: { avg: 1.1, min: 0.9, max: 1.2 },
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tone: { dryness: 0.8, playfulness: 0.1 }
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};
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// Voronoi parameters
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const sites = [];
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const points = [];
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const palette = {
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bg: '#0a0a0a',
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fg: '#f0f0f0',
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highlight: '#888888'
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};
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// Initialize points
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function initPoints() {
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const count = Math.floor(200 + config.density * 300);
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const size = Math.min(canvas.width, canvas.height) * 0.8;
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for (let i = 0; i < count; i++) {
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const angle = Math.random() * Math.PI * 2;
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const distance = Math.random() * size * 0.4 + size * 0.1;
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const x = canvas.width/2 + Math.cos(angle) * distance;
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const y = canvas.height/2 + Math.sin(angle) * distance;
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points.push({ x, y, vx: 0, vy: 0 });
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// Add some random movement
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points[i].vx = (Math.random() - 0.5) * config.motion * 2;
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points[i].vy = (Math.random() - 0.5) * config.motion * 2;
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}
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// Create Voronoi sites
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for (let i = 0; i < points.length; i++) {
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sites.push(points[i]);
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}
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}
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// Simple Voronoi diagram using distance fields
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function drawVoronoi() {
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const imageData = ctx.createImageData(canvas.width, canvas.height);
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const data = imageData.data;
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// Precompute distances
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for (let y = 0; y < canvas.height; y++) {
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for (let x = 0; x < canvas.width; x++) {
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let minDist = Infinity;
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let closestSite = 0;
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const idx = (y * canvas.width + x) * 4;
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for (let i = 0; i < sites.length; i++) {
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const dx = x - sites[i].x;
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const dy = y - sites[i].y;
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const dist = Math.sqrt(dx*dx + dy*dy) * (1 + Math.sin(Date.now() * 0.001 * config.pulse.avg) * 0.1 * config.motion);
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if (dist < minDist) {
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minDist = dist;
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closestSite = i;
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}
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}
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// Color based on site index and distance
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const brightness = Math.max(10, 255 - minDist * 2);
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data[idx] = Math.floor(brightness * (0.8 + 0.2 * Math.sin(closestSite)));
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data[idx+1] = Math.floor(brightness * (0.8 + 0.2 * Math.cos(closestSite)));
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data[idx+2] = Math.floor(brightness * 0.9);
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data[idx+3] = 255;
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}
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}
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ctx.putImageData(imageData, 0, 0);
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}
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// Update point positions
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function updatePoints() {
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const centerX = canvas.width/2;
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const centerY = canvas.height/2;
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const centerDist = Math.sqrt((centerX - canvas.width/2)**2 + (centerY - canvas.height/2)**2);
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for (let i = 0; i < points.length; i++) {
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// Add slight attraction to center
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const dx = centerX - points[i].x;
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const dy = centerY - points[i].y;
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const dist = Math.sqrt(dx*dx + dy*dy);
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points[i].vx += dx * 0.0001 * config.connectedness;
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points[i].vy += dy * 0.0001 * config.connectedness;
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// Add small random movement
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points[i].vx += (Math.random() - 0.5) * 0.02 * config.motion;
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points[i].vy += (Math.random() - 0.5) * 0.02 * config.motion;
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// Update position
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points[i].x += points[i].vx;
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points[i].y += points[i].vy;
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// Bounce off edges
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if (points[i].x < 0 || points[i].x > canvas.width) points[i].vx *= -0.8;
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if (points[i].y < 0 || points[i].y > canvas.height) points[i].vy *= -0.8;
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}
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// Update Voronoi sites
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for (let i = 0; i < sites.length; i++) {
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sites[i] = points[i];
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}
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}
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function animate() {
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// Clear with slight fade
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ctx.fillStyle = 'rgba(10, 10, 10, 0.05)';
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ctx.fillRect(0, 0, canvas.width, canvas.height);
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updatePoints();
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drawVoronoi();
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requestAnimationFrame(animate);
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}
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initPoints();
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animate();
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</script>
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</body>
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</html> |