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claude-scientific-skills/scientific-skills/timesfm-forecasting/examples/global-temperature/interactive_forecast.html
Clayton Young 1a65439ebf fix(html): embed animation data for CORS-safe local file access 
- Created generate_html.py to embed JSON data directly in HTML
- No external fetch() needed - works when opened directly in browser
- File size: 149.5 KB (self-contained)
- Shows forecast horizon (12-36 months) in stats
2026-02-23 07:43:04 -05:00

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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>TimesFM Interactive Forecast Animation</title>
<script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
<style>
* { margin: 0; padding: 0; box-sizing: border-box; }
body {
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
background: linear-gradient(135deg, #1a1a2e 0%, #16213e 100%);
min-height: 100vh;
color: #e0e0e0;
padding: 20px;
}
.container { max-width: 1200px; margin: 0 auto; }
header { text-align: center; margin-bottom: 30px; }
h1 {
font-size: 2rem;
margin-bottom: 10px;
background: linear-gradient(90deg, #60a5fa, #a78bfa);
-webkit-background-clip: text;
-webkit-text-fill-color: transparent;
}
.subtitle { color: #9ca3af; font-size: 1.1rem; }
.chart-container {
background: rgba(255, 255, 255, 0.05);
border-radius: 16px;
padding: 20px;
margin-bottom: 20px;
box-shadow: 0 4px 20px rgba(0, 0, 0, 0.3);
}
#chart { width: 100% !important; height: 450px !important; }
.controls {
display: flex;
flex-direction: column;
gap: 20px;
background: rgba(255, 255, 255, 0.05);
border-radius: 16px;
padding: 20px;
}
.slider-container { display: flex; flex-direction: column; gap: 10px; }
.slider-label { display: flex; justify-content: space-between; align-items: center; }
.slider-label span { font-size: 0.9rem; color: #9ca3af; }
.slider-label .value { font-weight: 600; color: #60a5fa; font-size: 1.1rem; }
input[type="range"] {
width: 100%; height: 8px; border-radius: 4px;
background: #374151; outline: none; -webkit-appearance: none;
}
input[type="range"]::-webkit-slider-thumb {
-webkit-appearance: none;
width: 24px; height: 24px; border-radius: 50%;
background: linear-gradient(135deg, #60a5fa, #a78bfa);
cursor: pointer;
box-shadow: 0 2px 10px rgba(96, 165, 250, 0.5);
}
.buttons { display: flex; gap: 10px; flex-wrap: wrap; }
button {
flex: 1; min-width: 100px;
padding: 12px 20px;
border: none; border-radius: 8px;
font-size: 1rem; font-weight: 600;
cursor: pointer; transition: all 0.2s ease;
}
.btn-primary {
background: linear-gradient(135deg, #60a5fa, #a78bfa);
color: white;
}
.btn-primary:hover { transform: translateY(-2px); box-shadow: 0 4px 15px rgba(96, 165, 250, 0.4); }
.btn-secondary { background: #374151; color: #e0e0e0; }
.btn-secondary:hover { background: #4b5563; }
.stats {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(150px, 1fr));
gap: 15px;
margin-top: 20px;
}
.stat-card {
background: rgba(255, 255, 255, 0.05);
border-radius: 12px;
padding: 15px;
text-align: center;
}
.stat-card .label { font-size: 0.8rem; color: #9ca3af; margin-bottom: 5px; }
.stat-card .value { font-size: 1.3rem; font-weight: 600; color: #60a5fa; }
.legend {
display: flex;
justify-content: center;
gap: 20px;
flex-wrap: wrap;
margin-top: 15px;
padding-top: 15px;
border-top: 1px solid rgba(255, 255, 255, 0.1);
}
.legend-item { display: flex; align-items: center; gap: 8px; font-size: 0.85rem; }
.legend-color { width: 16px; height: 16px; border-radius: 4px; }
footer {
text-align: center;
margin-top: 30px;
color: #6b7280;
font-size: 0.9rem;
}
footer a { color: #60a5fa; text-decoration: none; }
</style>
</head>
<body>
<div class="container">
<header>
<h1>TimesFM Forecast Evolution</h1>
<p class="subtitle">Watch the forecast evolve as more data is added — forecasts extend to 2025-12</p>
</header>
<div class="chart-container">
<canvas id="chart"></canvas>
</div>
<div class="controls">
<div class="slider-container">
<div class="slider-label">
<span>Data Points Used</span>
<span class="value" id="points-value">12 / 36</span>
</div>
<input type="range" id="slider" min="0" max="24" value="0" step="1">
<div class="slider-label">
<span>2022-01</span>
<span id="date-end">Using data through 2022-12</span>
</div>
</div>
<div class="buttons">
<button class="btn-primary" id="play-btn">▶ Play</button>
<button class="btn-secondary" id="reset-btn">↺ Reset</button>
</div>
<div class="stats">
<div class="stat-card">
<div class="label">Forecast Mean</div>
<div class="value" id="stat-mean">0.86°C</div>
</div>
<div class="stat-card">
<div class="label">Forecast Horizon</div>
<div class="value" id="stat-horizon">36 months</div>
</div>
<div class="stat-card">
<div class="label">Forecast Max</div>
<div class="value" id="stat-max">--</div>
</div>
<div class="stat-card">
<div class="label">Forecast Min</div>
<div class="value" id="stat-min">--</div>
</div>
</div>
<div class="legend">
<div class="legend-item">
<div class="legend-color" style="background: #9ca3af;"></div>
<span>All Observed Data</span>
</div>
<div class="legend-item">
<div class="legend-color" style="background: #fca5a5;"></div>
<span>Final Forecast (reference)</span>
</div>
<div class="legend-item">
<div class="legend-color" style="background: #3b82f6;"></div>
<span>Data Used</span>
</div>
<div class="legend-item">
<div class="legend-color" style="background: #ef4444;"></div>
<span>Current Forecast</span>
</div>
<div class="legend-item">
<div class="legend-color" style="background: rgba(239, 68, 68, 0.25);"></div>
<span>80% CI</span>
</div>
</div>
</div>
<footer>
<p>TimesFM 1.0 (200M) PyTorch • <a href="https://github.com/google-research/timesfm">Google Research</a></p>
</footer>
</div>
<script>
// Embedded animation data (no external fetch needed)
const animationData = {
"metadata": {
"model": "TimesFM 1.0 (200M) PyTorch",
"total_steps": 25,
"min_context": 12,
"max_horizon": 36,
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1.340000033378601,
1.2599999904632568,
1.149999976158142,
1.2000000476837158,
1.2400000095367432,
1.2999999523162842,
1.2799999713897705,
1.2699999809265137,
1.2200000286102295,
1.2000000476837158
],
"forecast_dates": [
"2025-01",
"2025-02",
"2025-03",
"2025-04",
"2025-05",
"2025-06",
"2025-07",
"2025-08",
"2025-09",
"2025-10",
"2025-11",
"2025-12"
],
"point_forecast": [
1.25933837890625,
1.285666823387146,
1.2950127124786377,
1.2207623720169067,
1.170255422592163,
1.1455552577972412,
1.1702347993850708,
1.2026824951171875,
1.1909748315811157,
1.1490840911865234,
1.080478549003601,
1.0613453388214111
],
"q10": [
1.2481880187988281,
1.2773758172988892,
1.286991834640503,
1.2084007263183594,
1.1533130407333374,
1.1275498867034912,
1.1510555744171143,
1.1859495639801025,
1.1784849166870117,
1.1264795064926147,
1.0624356269836426,
1.036609172821045
],
"q20": [
1.1407020092010498,
1.1406043767929077,
1.126852035522461,
1.0352504253387451,
0.9691494703292847,
0.9420379400253296,
0.9503718018531799,
0.970925509929657,
0.9594371318817139,
0.9079477190971375,
0.8361266255378723,
0.8022069334983826
],
"q80": [
1.2971320152282715,
1.3400218486785889,
1.3547290563583374,
1.2898554801940918,
1.2390310764312744,
1.2180578708648682,
1.248227596282959,
1.2842004299163818,
1.2832940816879272,
1.240414023399353,
1.175971508026123,
1.153149962425232
],
"q90": [
1.3239599466323853,
1.3751201629638672,
1.403548240661621,
1.3310348987579346,
1.2891905307769775,
1.2702757120132446,
1.2997852563858032,
1.3408125638961792,
1.3354730606079102,
1.286876916885376,
1.2283769845962524,
1.2169079780578613
]
}
]
};
let chart = null;
let isPlaying = false;
let playInterval = null;
let currentStep = 0;
// Fixed axis extents
let allDates = [];
let yMin = 0.7;
let yMax = 1.55;
function initChart() {
const ctx = document.getElementById('chart').getContext('2d');
// Calculate fixed extents
const finalStep = animationData.animation_steps[animationData.animation_steps.length - 1];
allDates = [
...animationData.actual_data.dates,
...finalStep.forecast_dates
];
// Y extent from all values
const allValues = [
...animationData.actual_data.values,
...finalStep.point_forecast,
...finalStep.q10,
...finalStep.q90
];
yMin = Math.min(...allValues) - 0.05;
yMax = Math.max(...allValues) + 0.05;
chart = new Chart(ctx, {
type: 'line',
data: {
labels: allDates,
datasets: [
{
label: 'All Observed',
data: animationData.actual_data.values.map((v, i) => ({x: animationData.actual_data.dates[i], y: v})),
borderColor: '#9ca3af',
borderWidth: 1,
pointRadius: 2,
pointBackgroundColor: '#9ca3af',
fill: false,
tension: 0.1,
order: 1,
},
{
label: 'Final Forecast',
data: [...Array(animationData.actual_data.dates.length).fill(null), ...finalStep.point_forecast],
borderColor: '#fca5a5',
borderWidth: 1,
borderDash: [4, 4],
pointRadius: 2,
pointBackgroundColor: '#fca5a5',
fill: false,
tension: 0.1,
order: 2,
},
{
label: 'Data Used',
data: [],
borderColor: '#3b82f6',
backgroundColor: 'rgba(59, 130, 246, 0.1)',
borderWidth: 2.5,
pointRadius: 4,
pointBackgroundColor: '#3b82f6',
fill: false,
tension: 0.1,
order: 10,
},
{
label: '90% CI Lower',
data: [],
borderColor: 'transparent',
backgroundColor: 'rgba(239, 68, 68, 0.08)',
fill: '+1',
pointRadius: 0,
tension: 0.1,
order: 5,
},
{
label: '90% CI Upper',
data: [],
borderColor: 'transparent',
backgroundColor: 'rgba(239, 68, 68, 0.08)',
fill: false,
pointRadius: 0,
tension: 0.1,
order: 5,
},
{
label: '80% CI Lower',
data: [],
borderColor: 'transparent',
backgroundColor: 'rgba(239, 68, 68, 0.2)',
fill: '+1',
pointRadius: 0,
tension: 0.1,
order: 6,
},
{
label: '80% CI Upper',
data: [],
borderColor: 'transparent',
backgroundColor: 'rgba(239, 68, 68, 0.2)',
fill: false,
pointRadius: 0,
tension: 0.1,
order: 6,
},
{
label: 'Forecast',
data: [],
borderColor: '#ef4444',
backgroundColor: 'rgba(239, 68, 68, 0.1)',
borderWidth: 2.5,
pointRadius: 4,
pointBackgroundColor: '#ef4444',
fill: false,
tension: 0.1,
order: 7,
},
]
},
options: {
responsive: true,
maintainAspectRatio: false,
interaction: { intersect: false, mode: 'index' },
plugins: {
legend: { display: false },
tooltip: {
backgroundColor: 'rgba(0, 0, 0, 0.8)',
titleColor: '#fff',
bodyColor: '#fff',
padding: 12,
},
},
scales: {
x: {
grid: { color: 'rgba(255, 255, 255, 0.05)' },
ticks: { color: '#9ca3af', maxRotation: 45, minRotation: 45 },
},
y: {
grid: { color: 'rgba(255, 255, 255, 0.05)' },
ticks: {
color: '#9ca3af',
callback: v => v.toFixed(2) + '°C'
},
min: yMin,
max: yMax,
},
},
animation: { duration: 150 },
},
});
}
function updateChart(stepIndex) {
if (!animationData || !chart) return;
const step = animationData.animation_steps[stepIndex];
const finalStep = animationData.animation_steps[animationData.animation_steps.length - 1];
const actual = animationData.actual_data;
// Build data arrays for each dataset
const nHist = step.historical_dates.length;
const nForecast = step.forecast_dates.length;
const nActual = actual.dates.length;
const nFinalForecast = finalStep.forecast_dates.length;
const totalPoints = nActual + nFinalForecast;
// Dataset 0: All observed (always full)
chart.data.datasets[0].data = actual.values.map((v, i) => ({x: actual.dates[i], y: v}));
// Dataset 1: Final forecast reference (always full)
chart.data.datasets[1].data = [
...Array(nActual).fill(null),
...finalStep.point_forecast
];
// Dataset 2: Data used (historical only)
const dataUsed = [];
for (let i = 0; i < totalPoints; i++) {
if (i < nHist) {
dataUsed.push(step.historical_values[i]);
} else {
dataUsed.push(null);
}
}
chart.data.datasets[2].data = dataUsed;
// Datasets 3-6: CIs (forecast only)
const forecastOffset = nActual;
const q90Lower = [];
const q90Upper = [];
const q80Lower = [];
const q80Upper = [];
for (let i = 0; i < totalPoints; i++) {
const forecastIdx = i - forecastOffset;
if (forecastIdx >= 0 && forecastIdx < nForecast) {
q90Lower.push(step.q10[forecastIdx]);
q90Upper.push(step.q90[forecastIdx]);
q80Lower.push(step.q20[forecastIdx]);
q80Upper.push(step.q80[forecastIdx]);
} else {
q90Lower.push(null);
q90Upper.push(null);
q80Lower.push(null);
q80Upper.push(null);
}
}
chart.data.datasets[3].data = q90Lower;
chart.data.datasets[4].data = q90Upper;
chart.data.datasets[5].data = q80Lower;
chart.data.datasets[6].data = q80Upper;
// Dataset 7: Forecast line
const forecastData = [];
for (let i = 0; i < totalPoints; i++) {
const forecastIdx = i - forecastOffset;
if (forecastIdx >= 0 && forecastIdx < nForecast) {
forecastData.push(step.point_forecast[forecastIdx]);
} else {
forecastData.push(null);
}
}
chart.data.datasets[7].data = forecastData;
chart.update('none');
// Update UI
document.getElementById('slider').value = stepIndex;
document.getElementById('points-value').textContent = `${step.n_points} / 36`;
document.getElementById('date-end').textContent = `Using data through ${step.last_historical_date}`;
// Stats
const mean = (step.point_forecast.reduce((a, b) => a + b, 0) / step.point_forecast.length).toFixed(3);
const max = Math.max(...step.point_forecast).toFixed(3);
const min = Math.min(...step.point_forecast).toFixed(3);
document.getElementById('stat-mean').textContent = mean + '°C';
document.getElementById('stat-horizon').textContent = step.horizon + ' months';
document.getElementById('stat-max').textContent = max + '°C';
document.getElementById('stat-min').textContent = min + '°C';
currentStep = stepIndex;
}
document.getElementById('slider').addEventListener('input', e => {
updateChart(parseInt(e.target.value));
});
document.getElementById('play-btn').addEventListener('click', () => {
const btn = document.getElementById('play-btn');
if (isPlaying) {
clearInterval(playInterval);
btn.textContent = '▶ Play';
isPlaying = false;
} else {
btn.textContent = '⏸ Pause';
isPlaying = true;
if (currentStep >= animationData.animation_steps.length - 1) currentStep = 0;
playInterval = setInterval(() => {
if (currentStep >= animationData.animation_steps.length - 1) {
clearInterval(playInterval);
document.getElementById('play-btn').textContent = '▶ Play';
isPlaying = false;
} else {
currentStep++;
updateChart(currentStep);
}
}, 400);
}
});
document.getElementById('reset-btn').addEventListener('click', () => {
if (isPlaying) {
clearInterval(playInterval);
document.getElementById('play-btn').textContent = '▶ Play';
isPlaying = false;
}
updateChart(0);
});
// Initialize on load
initChart();
updateChart(0);
</script>
</body>
</html>
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