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Update index.html
Browse files- index.html +317 -93
index.html
CHANGED
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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>Provider Inference Metrics Dashboard</title>
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<!-- Include Plotly.js via CDN -->
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<script src='https://cdn.plot.ly/plotly-latest.min.js'></script>
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<style>
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body {
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font-family: sans-serif;
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margin:
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background-color:
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}
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h1 {
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text-align: center;
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color:
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}
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.
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display: grid;
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grid-template-columns: repeat(auto-fit, minmax(
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gap: 20px;
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padding: 20px;
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}
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.plot-container {
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background-color:
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padding:
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border-radius: 8px;
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box-shadow: 0
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}
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#loading, #error {
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text-align: center;
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font-size: 1.2em;
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padding:
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color:
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}
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#error {
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color:
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font-weight:
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}
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</style>
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</head>
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<body>
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<
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<div
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</div>
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<script>
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document.addEventListener('DOMContentLoaded', function() {
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const apiUrl = "https://datasets-server.huggingface.co/rows?dataset=victor%2Fproviders-metrics&config=default&split=train&offset=0&length=
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const loadingDiv = document.getElementById('loading');
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const errorDiv = document.getElementById('error');
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const dashboardContainer = document.querySelector('.dashboard-container');
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// Initially hide the dashboard container
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dashboardContainer.style.display = 'none';
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fetch(apiUrl)
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.then(response => {
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if (!response.ok) {
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throw new Error(`HTTP error! status: ${response.status}`);
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}
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return response.json();
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})
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.then(data => {
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loadingDiv.style.display = 'none'; // Hide loading message
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// Extract the actual row data
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const rows = data.rows.map(item => item.row);
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console.log(`Fetched ${rows.length} rows.`);
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// ---
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//
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createLatencyByProviderPlot(rows);
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// 2. Reliability by Provider (Stacked Bar)
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createReliabilityByProviderPlot(rows);
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// 3. Latency by Model (Box Plot)
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createLatencyByModelPlot(rows);
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// 4. Error Types by Provider (Grouped Bar)
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createErrorTypesByProviderPlot(rows);
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// 5. Latency Heatmap (Model vs Provider)
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createLatencyHeatmap(rows);
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})
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.catch(error => {
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console.error('Error fetching or processing data:', error);
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loadingDiv.style.display = 'none';
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errorDiv.textContent = `Error loading data: ${error.message}. Please check the console for details
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errorDiv.style.display = 'block';
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});
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// --- Plotting Functions ---
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function createLatencyByProviderPlot(rows) {
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if (!dataByProvider[row.provider_name]) {
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dataByProvider[row.provider_name] = [];
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}
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// Only include successful requests or requests with valid duration
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if (row.duration_ms !== null && row.duration_ms >= 0) {
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dataByProvider[row.provider_name].push(row.duration_ms);
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}
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});
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const plotData = Object.keys(dataByProvider).map(provider => ({
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y: dataByProvider[provider],
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type: 'box',
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name: provider,
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boxpoints: 'Outliers'
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}));
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const layout = {
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title: 'Latency Distribution by Provider
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yaxis: { title: 'Duration (ms)', type: 'log'
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xaxis: { title: 'Provider' },
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margin: {
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};
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Plotly.newPlot('plotLatencyProvider', plotData, layout);
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}
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function createReliabilityByProviderPlot(rows) {
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rows.forEach(row => {
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const provider = row.provider_name;
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const status = row.response_status_code;
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allProviders.add(provider);
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allStatusCodes.add(status);
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});
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const sortedProviders = Array.from(allProviders).sort();
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const plotData = sortedStatusCodes.map(status => {
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return {
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x: sortedProviders,
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y: sortedProviders.map(provider => statusCountsByProvider[provider]?.[status] || 0),
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name: `Status ${status}`,
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type: 'bar'
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};
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});
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const layout = {
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title: 'Request Status Codes by Provider',
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barmode: 'stack',
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xaxis: { title: 'Provider' },
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yaxis: { title: 'Number of Requests' },
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};
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Plotly.newPlot('plotReliabilityProvider', plotData, layout);
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}
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function createLatencyByModelPlot(rows) {
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if (!dataByModel[model]) {
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dataByModel[model] = [];
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}
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// Only include successful requests or requests with valid duration
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if (row.duration_ms !== null && row.duration_ms >= 0) {
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dataByModel[model].push(row.duration_ms);
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}
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});
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const plotData = Object.keys(dataByModel).map(model => ({
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y: dataByModel[model],
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type: 'box',
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name: model,
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boxpoints: 'Outliers'
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}));
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const layout = {
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title: 'Latency Distribution by Model
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yaxis: { title: 'Duration (ms)', type: 'log' },
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xaxis: {
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title: 'Model ID',
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tickangle: -
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},
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margin: {
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};
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Plotly.newPlot('plotLatencyModel', plotData, layout);
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}
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function createErrorTypesByProviderPlot(rows) {
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x: sortedProviders,
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y: sortedProviders.map(provider => errorCountsByProvider[provider]?.[status] || 0),
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name: `Error ${status}`,
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type: 'bar'
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};
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});
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const layout = {
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title: 'Error Types by Provider (Non-200 Status)',
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barmode: 'group', // Group bars side-by-side for comparison
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xaxis: { title: 'Provider' },
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yaxis: { title: 'Number of Errors' },
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margin: {
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};
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Plotly.newPlot('plotErrorTypesProvider', plotData, layout);
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}
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function createLatencyHeatmap(rows) {
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const zValues = sortedModels.map(model => {
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return sortedProviders.map(provider => {
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const data = latencyData[provider]?.[model];
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});
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});
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const plotData = [{
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z: zValues,
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x: sortedProviders,
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y: sortedModels,
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type: 'heatmap',
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hoverongaps: false,
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colorscale: 'Viridis',
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}];
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const layout = {
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title: 'Average Latency (ms) - Model vs. Provider',
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xaxis: { title: '
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yaxis: { title: '
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margin: { l:
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};
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Plotly.newPlot('plotLatencyHeatmap', plotData, layout);
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}
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});
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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>Provider Inference Metrics Dashboard</title>
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<script src='https://cdn.plot.ly/plotly-latest.min.js'></script>
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<style>
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:root {
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--bg-color: #f8f9fa;
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--card-bg-color: #ffffff;
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--text-color: #212529;
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--muted-text-color: #6c757d;
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--border-color: #dee2e6;
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--shadow-color: rgba(0, 0, 0, 0.05);
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--primary-color: #0d6efd;
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--plot-colorway: ['#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd', '#8c564b', '#e377c2', '#7f7f7f', '#bcbd22', '#17becf']; /* Plotly default */
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}
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body {
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font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif;
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margin: 0;
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background-color: var(--bg-color);
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color: var(--text-color);
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line-height: 1.5;
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}
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.container {
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max-width: 1600px;
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margin: 20px auto;
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padding: 0 20px;
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}
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h1 {
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text-align: center;
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color: var(--text-color);
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margin-bottom: 30px;
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font-weight: 500;
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}
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.kpi-container {
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display: grid;
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grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
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gap: 20px;
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margin-bottom: 30px;
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}
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.kpi-card {
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background-color: var(--card-bg-color);
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padding: 20px;
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border-radius: 8px;
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box-shadow: 0 4px 8px var(--shadow-color);
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text-align: center;
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border: 1px solid var(--border-color);
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}
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.kpi-card h3 {
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margin-top: 0;
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margin-bottom: 10px;
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font-size: 1rem;
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color: var(--muted-text-color);
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font-weight: 400;
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}
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.kpi-card .value {
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font-size: 1.8rem;
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font-weight: 600;
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color: var(--text-color);
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}
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.kpi-card .unit {
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font-size: 0.9rem;
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color: var(--muted-text-color);
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margin-left: 5px;
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}
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.dashboard-container {
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display: grid;
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grid-template-columns: repeat(auto-fit, minmax(450px, 1fr)); /* Responsive grid */
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gap: 25px; /* Space between plots */
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}
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.plot-container {
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background-color: var(--card-bg-color);
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padding: 20px;
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border-radius: 8px;
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box-shadow: 0 4px 8px var(--shadow-color);
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border: 1px solid var(--border-color);
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min-height: 450px; /* Ensure plots have some height */
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display: flex; /* For centering loading/error inside */
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justify-content: center;
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align-items: center;
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}
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/* Style Plotly chart container */
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.plot-container .plotly {
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width: 100%;
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height: 100%;
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}
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#loading, #error {
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grid-column: 1 / -1; /* Span full width if grid is active */
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text-align: center;
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font-size: 1.2em;
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padding: 40px;
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color: var(--muted-text-color);
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}
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#error {
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color: #dc3545; /* Bootstrap danger color */
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font-weight: 500;
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background-color: #f8d7da;
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border: 1px solid #f5c2c7;
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border-radius: 8px;
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}
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footer {
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text-align: center;
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margin-top: 40px;
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padding: 20px;
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font-size: 0.9em;
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color: var(--muted-text-color);
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border-top: 1px solid var(--border-color);
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}
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footer a {
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color: var(--primary-color);
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text-decoration: none;
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}
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footer a:hover {
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text-decoration: underline;
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}
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</style>
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</head>
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<body>
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<div class="container">
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<h1>Provider Inference Metrics Dashboard</h1>
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<div id="loading">Loading data... Please wait.</div>
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<div id="error" style="display: none;"></div>
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<!-- KPI Section -->
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<div class="kpi-container" style="display: none;">
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<div class="kpi-card">
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<h3>Total Requests</h3>
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<div class="value" id="kpi-total-requests">--</div>
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</div>
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<div class="kpi-card">
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<h3>Success Rate</h3>
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<div class="value" id="kpi-success-rate">--<span class="unit">%</span></div>
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</div>
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<div class="kpi-card">
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<h3>Avg. Latency (Overall)</h3>
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+
<div class="value" id="kpi-avg-latency">--<span class="unit">ms</span></div>
|
143 |
+
</div>
|
144 |
+
<div class="kpi-card">
|
145 |
+
<h3>Fastest Provider (Median)</h3>
|
146 |
+
<div class="value" id="kpi-fastest-provider">--</div>
|
147 |
+
</div>
|
148 |
+
</div>
|
149 |
+
|
150 |
+
<!-- Dashboard Plots -->
|
151 |
+
<div class="dashboard-container" style="display: none;">
|
152 |
+
<div id="plotLatencyProvider" class="plot-container"></div>
|
153 |
+
<div id="plotReliabilityProvider" class="plot-container"></div>
|
154 |
+
<div id="plotLatencyModel" class="plot-container"></div>
|
155 |
+
<div id="plotErrorTypesProvider" class="plot-container"></div>
|
156 |
+
<div id="plotLatencyHeatmap" class="plot-container"></div>
|
157 |
+
<!-- Add more divs here for additional plots -->
|
158 |
+
</div>
|
159 |
+
|
160 |
+
<footer id="footer" style="display: none;">
|
161 |
+
Data fetched from: <a id="data-source-url" href="#" target="_blank">Hugging Face Datasets</a><br>
|
162 |
+
Last updated: <span id="last-updated"></span>
|
163 |
+
</footer>
|
164 |
</div>
|
165 |
|
166 |
<script>
|
167 |
document.addEventListener('DOMContentLoaded', function() {
|
168 |
+
const apiUrl = "https://datasets-server.huggingface.co/rows?dataset=victor%2Fproviders-metrics&config=default&split=train&offset=0&length=1000"; // Fetch 1000 rows
|
169 |
const loadingDiv = document.getElementById('loading');
|
170 |
const errorDiv = document.getElementById('error');
|
171 |
+
const kpiContainer = document.querySelector('.kpi-container');
|
172 |
const dashboardContainer = document.querySelector('.dashboard-container');
|
173 |
+
const footer = document.getElementById('footer');
|
174 |
+
const dataSourceUrlElement = document.getElementById('data-source-url');
|
175 |
+
const lastUpdatedElement = document.getElementById('last-updated');
|
176 |
+
|
177 |
+
dataSourceUrlElement.href = apiUrl; // Set link href
|
178 |
+
|
179 |
+
// Plotly layout defaults
|
180 |
+
const baseLayout = {
|
181 |
+
margin: { l: 60, r: 30, b: 100, t: 60, pad: 4 }, // Default margins
|
182 |
+
legend: { bgcolor: 'rgba(255,255,255,0.5)', bordercolor: '#ccc', borderwidth: 1 },
|
183 |
+
colorway: ['#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd', '#8c564b', '#e377c2', '#7f7f7f', '#bcbd22', '#17becf'], // Plotly default color sequence
|
184 |
+
paper_bgcolor: 'rgba(0,0,0,0)', // Transparent background for plot area
|
185 |
+
plot_bgcolor: 'rgba(0,0,0,0)', // Transparent background for plotting area
|
186 |
+
font: {
|
187 |
+
family: '-apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif',
|
188 |
+
color: '#212529'
|
189 |
+
},
|
190 |
+
title: {
|
191 |
+
font: { size: 16, weight: '500' },
|
192 |
+
x: 0.05, // Title alignment
|
193 |
+
xanchor: 'left'
|
194 |
+
},
|
195 |
+
xaxis: {
|
196 |
+
gridcolor: '#e9ecef', // Lighter grid lines
|
197 |
+
linecolor: '#adb5bd',
|
198 |
+
automargin: true,
|
199 |
+
tickfont: { size: 10 }
|
200 |
+
},
|
201 |
+
yaxis: {
|
202 |
+
gridcolor: '#e9ecef',
|
203 |
+
linecolor: '#adb5bd',
|
204 |
+
automargin: true,
|
205 |
+
tickfont: { size: 10 }
|
206 |
+
}
|
207 |
+
};
|
208 |
+
|
209 |
+
// Helper function to deep merge layout options
|
210 |
+
function mergeLayout(customLayout) {
|
211 |
+
// Simple deep merge for nested objects like margin, font, title
|
212 |
+
let layout = JSON.parse(JSON.stringify(baseLayout)); // Deep copy base
|
213 |
+
for (const key in customLayout) {
|
214 |
+
if (typeof customLayout[key] === 'object' && customLayout[key] !== null && !Array.isArray(customLayout[key]) && layout[key]) {
|
215 |
+
Object.assign(layout[key], customLayout[key]);
|
216 |
+
} else {
|
217 |
+
layout[key] = customLayout[key];
|
218 |
+
}
|
219 |
+
}
|
220 |
+
return layout;
|
221 |
+
}
|
222 |
+
|
223 |
+
// Helper function to calculate median
|
224 |
+
function calculateMedian(arr) {
|
225 |
+
if (!arr || arr.length === 0) return null;
|
226 |
+
const sortedArr = [...arr].sort((a, b) => a - b);
|
227 |
+
const mid = Math.floor(sortedArr.length / 2);
|
228 |
+
return sortedArr.length % 2 !== 0 ? sortedArr[mid] : (sortedArr[mid - 1] + sortedArr[mid]) / 2;
|
229 |
+
}
|
230 |
|
|
|
|
|
231 |
|
232 |
fetch(apiUrl)
|
233 |
.then(response => {
|
234 |
if (!response.ok) {
|
235 |
+
throw new Error(`HTTP error! status: ${response.status} ${response.statusText}`);
|
236 |
}
|
237 |
return response.json();
|
238 |
})
|
239 |
.then(data => {
|
240 |
loadingDiv.style.display = 'none'; // Hide loading message
|
241 |
+
kpiContainer.style.display = 'grid'; // Show KPIs
|
242 |
+
dashboardContainer.style.display = 'grid'; // Show dashboard plots
|
243 |
+
footer.style.display = 'block'; // Show footer
|
244 |
|
245 |
// Extract the actual row data
|
246 |
const rows = data.rows.map(item => item.row);
|
247 |
console.log(`Fetched ${rows.length} rows.`);
|
248 |
+
lastUpdatedElement.textContent = new Date().toLocaleString();
|
249 |
|
250 |
+
// --- Calculate and Display KPIs ---
|
251 |
+
calculateAndDisplayKPIs(rows);
|
252 |
|
253 |
+
// --- Data Processing and Plotting ---
|
254 |
createLatencyByProviderPlot(rows);
|
|
|
|
|
255 |
createReliabilityByProviderPlot(rows);
|
|
|
|
|
256 |
createLatencyByModelPlot(rows);
|
|
|
|
|
257 |
createErrorTypesByProviderPlot(rows);
|
|
|
|
|
258 |
createLatencyHeatmap(rows);
|
259 |
|
260 |
})
|
261 |
.catch(error => {
|
262 |
console.error('Error fetching or processing data:', error);
|
263 |
loadingDiv.style.display = 'none';
|
264 |
+
errorDiv.textContent = `Error loading data: ${error.message}. Please check the console for details. Is the dataset server reachable?`;
|
265 |
errorDiv.style.display = 'block';
|
266 |
});
|
267 |
|
268 |
+
// --- KPI Calculation Function ---
|
269 |
+
function calculateAndDisplayKPIs(rows) {
|
270 |
+
const totalRequests = rows.length;
|
271 |
+
const successfulRequests = rows.filter(r => r.response_status_code === 200).length;
|
272 |
+
const successRate = totalRequests > 0 ? ((successfulRequests / totalRequests) * 100).toFixed(1) : 0;
|
273 |
+
|
274 |
+
const validLatencies = rows
|
275 |
+
.map(r => r.duration_ms)
|
276 |
+
.filter(d => d !== null && d >= 0);
|
277 |
+
const avgLatency = validLatencies.length > 0
|
278 |
+
? (validLatencies.reduce((a, b) => a + b, 0) / validLatencies.length).toFixed(0)
|
279 |
+
: 0;
|
280 |
+
|
281 |
+
// Calculate median latency per provider to find the fastest
|
282 |
+
const latencyByProvider = {};
|
283 |
+
rows.forEach(row => {
|
284 |
+
if (row.duration_ms !== null && row.duration_ms >= 0) {
|
285 |
+
if (!latencyByProvider[row.provider_name]) {
|
286 |
+
latencyByProvider[row.provider_name] = [];
|
287 |
+
}
|
288 |
+
latencyByProvider[row.provider_name].push(row.duration_ms);
|
289 |
+
}
|
290 |
+
});
|
291 |
+
|
292 |
+
let fastestProvider = '--';
|
293 |
+
let minMedianLatency = Infinity;
|
294 |
+
|
295 |
+
for (const provider in latencyByProvider) {
|
296 |
+
const median = calculateMedian(latencyByProvider[provider]);
|
297 |
+
if (median !== null && median < minMedianLatency) {
|
298 |
+
minMedianLatency = median;
|
299 |
+
fastestProvider = provider;
|
300 |
+
}
|
301 |
+
}
|
302 |
+
|
303 |
+
document.getElementById('kpi-total-requests').textContent = totalRequests;
|
304 |
+
document.getElementById('kpi-success-rate').innerHTML = `${successRate}<span class="unit">%</span>`;
|
305 |
+
document.getElementById('kpi-avg-latency').innerHTML = `${avgLatency}<span class="unit">ms</span>`;
|
306 |
+
document.getElementById('kpi-fastest-provider').textContent = fastestProvider;
|
307 |
+
}
|
308 |
+
|
309 |
+
|
310 |
// --- Plotting Functions ---
|
311 |
|
312 |
function createLatencyByProviderPlot(rows) {
|
|
|
315 |
if (!dataByProvider[row.provider_name]) {
|
316 |
dataByProvider[row.provider_name] = [];
|
317 |
}
|
|
|
318 |
if (row.duration_ms !== null && row.duration_ms >= 0) {
|
319 |
dataByProvider[row.provider_name].push(row.duration_ms);
|
320 |
}
|
321 |
});
|
322 |
|
323 |
+
const plotData = Object.keys(dataByProvider).sort().map(provider => ({ // Sort providers alphabetically
|
324 |
y: dataByProvider[provider],
|
325 |
type: 'box',
|
326 |
name: provider,
|
327 |
+
boxpoints: 'Outliers',
|
328 |
+
marker: { size: 4 }
|
329 |
}));
|
330 |
|
331 |
+
const layout = mergeLayout({
|
332 |
+
title: { text: 'Latency Distribution by Provider' },
|
333 |
+
yaxis: { title: 'Duration (ms)', type: 'log', autorange: true },
|
334 |
+
xaxis: { title: 'Provider', tickangle: -30 },
|
335 |
+
margin: { b: 120 } // More bottom margin for angled labels
|
336 |
+
});
|
337 |
|
338 |
+
Plotly.newPlot('plotLatencyProvider', plotData, layout, {responsive: true});
|
339 |
}
|
340 |
|
341 |
function createReliabilityByProviderPlot(rows) {
|
|
|
345 |
|
346 |
rows.forEach(row => {
|
347 |
const provider = row.provider_name;
|
348 |
+
const status = row.response_status_code ?? 'Unknown'; // Handle null status
|
349 |
allProviders.add(provider);
|
350 |
allStatusCodes.add(status);
|
351 |
|
|
|
359 |
});
|
360 |
|
361 |
const sortedProviders = Array.from(allProviders).sort();
|
362 |
+
// Sort status codes: 200 first, then numerically, then 'Unknown'
|
363 |
+
const sortedStatusCodes = Array.from(allStatusCodes).sort((a, b) => {
|
364 |
+
if (a === 200) return -1;
|
365 |
+
if (b === 200) return 1;
|
366 |
+
if (a === 'Unknown') return 1;
|
367 |
+
if (b === 'Unknown') return -1;
|
368 |
+
return a - b;
|
369 |
+
});
|
370 |
|
371 |
const plotData = sortedStatusCodes.map(status => {
|
372 |
return {
|
373 |
x: sortedProviders,
|
374 |
y: sortedProviders.map(provider => statusCountsByProvider[provider]?.[status] || 0),
|
375 |
name: `Status ${status}`,
|
376 |
+
type: 'bar',
|
377 |
+
hovertemplate: `Provider: %{x}<br>Status: ${status}<br>Count: %{y}<extra></extra>`
|
378 |
};
|
379 |
});
|
380 |
|
381 |
+
const layout = mergeLayout({
|
382 |
+
title: { text: 'Request Status Codes by Provider' },
|
383 |
barmode: 'stack',
|
384 |
+
xaxis: { title: 'Provider', tickangle: -30 },
|
385 |
+
yaxis: { title: 'Number of Requests', autorange: true },
|
386 |
+
margin: { b: 120 }
|
387 |
+
});
|
388 |
|
389 |
+
Plotly.newPlot('plotReliabilityProvider', plotData, layout, {responsive: true});
|
390 |
}
|
391 |
|
392 |
function createLatencyByModelPlot(rows) {
|
|
|
396 |
if (!dataByModel[model]) {
|
397 |
dataByModel[model] = [];
|
398 |
}
|
|
|
399 |
if (row.duration_ms !== null && row.duration_ms >= 0) {
|
400 |
dataByModel[model].push(row.duration_ms);
|
401 |
}
|
402 |
});
|
403 |
|
404 |
+
const plotData = Object.keys(dataByModel).sort().map(model => ({ // Sort models
|
405 |
y: dataByModel[model],
|
406 |
type: 'box',
|
407 |
name: model,
|
408 |
+
boxpoints: 'Outliers',
|
409 |
+
marker: { size: 4 }
|
410 |
}));
|
411 |
|
412 |
+
const layout = mergeLayout({
|
413 |
+
title: { text: 'Latency Distribution by Model' },
|
414 |
+
yaxis: { title: 'Duration (ms)', type: 'log', autorange: true },
|
415 |
xaxis: {
|
416 |
title: 'Model ID',
|
417 |
+
tickangle: -30 // Angle labels if they overlap
|
418 |
},
|
419 |
+
margin: { b: 180 } // More bottom margin for potentially long/angled labels
|
420 |
+
});
|
421 |
|
422 |
+
Plotly.newPlot('plotLatencyModel', plotData, layout, {responsive: true});
|
423 |
}
|
424 |
|
425 |
function createErrorTypesByProviderPlot(rows) {
|
|
|
452 |
x: sortedProviders,
|
453 |
y: sortedProviders.map(provider => errorCountsByProvider[provider]?.[status] || 0),
|
454 |
name: `Error ${status}`,
|
455 |
+
type: 'bar',
|
456 |
+
hovertemplate: `Provider: %{x}<br>Error: ${status}<br>Count: %{y}<extra></extra>`
|
457 |
};
|
458 |
});
|
459 |
|
460 |
+
const layout = mergeLayout({
|
461 |
+
title: { text: 'Error Types by Provider (Non-200 Status)' },
|
462 |
barmode: 'group', // Group bars side-by-side for comparison
|
463 |
+
xaxis: { title: 'Provider', tickangle: -30 },
|
464 |
+
yaxis: { title: 'Number of Errors', autorange: true },
|
465 |
+
margin: { b: 120 }
|
466 |
+
});
|
467 |
|
468 |
+
Plotly.newPlot('plotErrorTypesProvider', plotData, layout, {responsive: true});
|
469 |
}
|
470 |
|
471 |
function createLatencyHeatmap(rows) {
|
|
|
494 |
const zValues = sortedModels.map(model => {
|
495 |
return sortedProviders.map(provider => {
|
496 |
const data = latencyData[provider]?.[model];
|
497 |
+
const avg = data && data.count > 0 ? data.sum / data.count : null;
|
498 |
+
return avg;
|
499 |
});
|
500 |
});
|
501 |
|
502 |
+
const hoverText = sortedModels.map(model => {
|
503 |
+
return sortedProviders.map(provider => {
|
504 |
+
const data = latencyData[provider]?.[model];
|
505 |
+
const avg = data && data.count > 0 ? (data.sum / data.count).toFixed(0) : 'N/A';
|
506 |
+
const count = data?.count || 0;
|
507 |
+
return `Model: ${model}<br>Provider: ${provider}<br>Avg Latency: ${avg} ms<br>Requests: ${count}<extra></extra>`;
|
508 |
+
});
|
509 |
+
});
|
510 |
+
|
511 |
+
|
512 |
const plotData = [{
|
513 |
z: zValues,
|
514 |
x: sortedProviders,
|
515 |
y: sortedModels,
|
516 |
type: 'heatmap',
|
517 |
+
hoverongaps: false,
|
518 |
+
colorscale: 'Viridis',
|
519 |
+
reversescale: true, // Often makes sense for latency (lower is better -> brighter)
|
520 |
+
colorbar: { title: 'Avg Latency (ms)', titleside: 'right', thickness: 15 },
|
521 |
+
xgap: 2, // Add gaps between cells
|
522 |
+
ygap: 2,
|
523 |
+
hovertemplate: hoverText // Custom hover text
|
524 |
}];
|
525 |
|
526 |
+
const layout = mergeLayout({
|
527 |
+
title: { text: 'Average Latency (ms) - Model vs. Provider' },
|
528 |
+
xaxis: { title: '', side: 'top', tickangle: -30 }, // Move x-axis labels to top, angle
|
529 |
+
yaxis: { title: '', autorange: 'reversed' }, // Reverse y-axis to match typical matrix layout
|
530 |
+
margin: { l: 280, r: 50, b: 50, t: 120 } // Adjust margins significantly for labels
|
531 |
+
});
|
532 |
|
533 |
+
Plotly.newPlot('plotLatencyHeatmap', plotData, layout, {responsive: true});
|
534 |
}
|
535 |
|
536 |
});
|