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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>Provider/Model Performance Dashboard</title>
<script src='https://cdn.plot.ly/plotly-latest.min.js'></script>
<style>
:root {
--bg-color: #f8f9fa;
--card-bg-color: #ffffff;
--text-color: #212529;
--muted-text-color: #6c757d;
--border-color: #dee2e6;
--shadow-color: rgba(0, 0, 0, 0.05);
--primary-color: #0d6efd;
--success-color: #198754;
--warning-color: #ffc107;
--danger-color: #dc3545;
--plot-colorway: ['#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd', '#8c564b', '#e377c2', '#7f7f7f', '#bcbd22', '#17becf']; /* Plotly default */
}
body {
font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif;
margin: 0;
background-color: var(--bg-color);
color: var(--text-color);
line-height: 1.5;
}
.container {
max-width: 1700px; /* Wider container */
margin: 20px auto;
padding: 0 20px;
}
h1 {
text-align: center;
color: var(--text-color);
margin-bottom: 15px;
font-weight: 500;
}
.controls {
display: flex;
justify-content: center;
align-items: center;
margin-bottom: 25px;
gap: 10px;
}
.controls label {
font-weight: 500;
color: var(--muted-text-color);
}
.controls select {
padding: 8px 12px;
border: 1px solid var(--border-color);
border-radius: 6px;
background-color: var(--card-bg-color);
min-width: 300px;
font-size: 1rem;
}
.kpi-container {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
gap: 20px;
margin-bottom: 30px;
}
.kpi-card {
background-color: var(--card-bg-color);
padding: 20px;
border-radius: 8px;
box-shadow: 0 4px 8px var(--shadow-color);
text-align: center;
border: 1px solid var(--border-color);
}
.kpi-card h3 {
margin-top: 0;
margin-bottom: 10px;
font-size: 0.95rem; /* Slightly smaller */
color: var(--muted-text-color);
font-weight: 400;
}
.kpi-card .value {
font-size: 1.7rem; /* Slightly smaller */
font-weight: 600;
color: var(--text-color);
word-wrap: break-word; /* Prevent long provider names from overflowing */
}
.kpi-card .unit {
font-size: 0.85rem;
color: var(--muted-text-color);
margin-left: 4px;
}
.dashboard-container {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(450px, 1fr)); /* Responsive grid */
gap: 25px; /* Space between plots */
}
.plot-container, .table-container {
background-color: var(--card-bg-color);
padding: 20px;
border-radius: 8px;
box-shadow: 0 4px 8px var(--shadow-color);
border: 1px solid var(--border-color);
min-height: 450px; /* Ensure plots have some height */
display: flex; /* For centering loading/error inside */
flex-direction: column; /* Allow title and content stacking */
justify-content: center;
align-items: center;
}
.plot-container .plotly, .table-container table {
width: 100%;
height: 100%;
flex-grow: 1; /* Allow content to fill space */
}
.plot-title { /* Optional: Style for titles inside containers */
font-weight: 500;
margin-bottom: 15px;
color: var(--text-color);
align-self: flex-start; /* Align title left */
}
#loading, #error {
grid-column: 1 / -1; /* Span full width if grid is active */
text-align: center;
font-size: 1.2em;
padding: 40px;
color: var(--muted-text-color);
}
#error {
color: var(--danger-color);
font-weight: 500;
background-color: #f8d7da;
border: 1px solid #f5c2c7;
border-radius: 8px;
}
/* Table Styles */
.table-container {
overflow-x: auto; /* Allow horizontal scrolling on small screens */
align-items: flex-start; /* Align table top */
}
table {
border-collapse: collapse;
font-size: 0.9rem;
}
th, td {
padding: 10px 12px;
text-align: left;
border-bottom: 1px solid var(--border-color);
}
th {
background-color: var(--bg-color);
font-weight: 500;
cursor: pointer; /* Indicate sortable */
white-space: nowrap;
}
th:hover {
background-color: #e9ecef;
}
td {
white-space: nowrap; /* Prevent wrapping in cells */
}
tbody tr:hover {
background-color: #f1f1f1;
}
.error-count {
color: var(--danger-color);
font-weight: 500;
}
.success-rate-high { color: var(--success-color); font-weight: 500; }
.success-rate-medium { color: var(--warning-color); font-weight: 500; }
.success-rate-low { color: var(--danger-color); font-weight: 500; }
footer {
text-align: center;
margin-top: 40px;
padding: 20px;
font-size: 0.9em;
color: var(--muted-text-color);
border-top: 1px solid var(--border-color);
}
footer a {
color: var(--primary-color);
text-decoration: none;
}
footer a:hover {
text-decoration: underline;
}
</style>
</head>
<body>
<div class="container">
<h1>Provider Inference Metrics Dashboard</h1>
<div class="controls">
<label for="modelSelector">Select Model:</label>
<select id="modelSelector">
<option value="all">-- All Models --</option>
<!-- Options will be populated by JS -->
</select>
</div>
<div id="loading">Loading data... Please wait.</div>
<div id="error" style="display: none;"></div>
<!-- KPI Section -->
<div class="kpi-container" style="display: none;">
<div class="kpi-card">
<h3 id="kpi-title-requests">Total Requests</h3>
<div class="value" id="kpi-total-requests">--</div>
</div>
<div class="kpi-card">
<h3 id="kpi-title-success">Success Rate</h3>
<div class="value" id="kpi-success-rate">--<span class="unit">%</span></div>
</div>
<div class="kpi-card">
<h3 id="kpi-title-latency">Avg. Latency</h3>
<div class="value" id="kpi-avg-latency">--<span class="unit">ms</span></div>
</div>
<div class="kpi-card">
<h3 id="kpi-title-fastest">Fastest Provider (Median)</h3>
<div class="value" id="kpi-fastest-provider">--</div>
</div>
</div>
<!-- Dashboard Plots -->
<div class="dashboard-container" style="display: none;">
<div id="plotLatencyProvider" class="plot-container"></div>
<div id="plotReliabilityProvider" class="plot-container"></div>
<div id="plotLatencyModel" class="plot-container"></div> {/* Will be hidden when filtered */}
<div id="plotErrorTypesProvider" class="plot-container"></div>
<div id="modelDetailTableContainer" class="table-container" style="display: none;"> {/* Initially hidden */}
<h3 class="plot-title" id="table-title">Detailed Comparison</h3>
<table id="modelDetailTable">
<thead></thead>
<tbody></tbody>
</table>
</div>
<div id="plotLatencyHeatmap" class="plot-container"></div> {/* Will be hidden when filtered */}
</div>
<footer id="footer" style="display: none;">
Data fetched from: <a id="data-source-url" href="#" target="_blank">Hugging Face Datasets</a><br>
Last updated: <span id="last-updated"></span>
</footer>
</div>
<script>
document.addEventListener('DOMContentLoaded', function() {
const apiUrl = "https://datasets-server.huggingface.co/rows?dataset=victor%2Fproviders-metrics&config=default&split=train&offset=0&length=100"; // Fetch 1000 rows
const loadingDiv = document.getElementById('loading');
const errorDiv = document.getElementById('error');
const kpiContainer = document.querySelector('.kpi-container');
const dashboardContainer = document.querySelector('.dashboard-container');
const footer = document.getElementById('footer');
const dataSourceUrlElement = document.getElementById('data-source-url');
const lastUpdatedElement = document.getElementById('last-updated');
const modelSelector = document.getElementById('modelSelector');
// Plot containers
const plotLatencyProviderDiv = document.getElementById('plotLatencyProvider');
const plotReliabilityProviderDiv = document.getElementById('plotReliabilityProvider');
const plotLatencyModelDiv = document.getElementById('plotLatencyModel');
const plotErrorTypesProviderDiv = document.getElementById('plotErrorTypesProvider');
const plotLatencyHeatmapDiv = document.getElementById('plotLatencyHeatmap');
const modelDetailTableContainerDiv = document.getElementById('modelDetailTableContainer');
dataSourceUrlElement.href = apiUrl; // Set link href
let allRows = []; // Store all fetched rows globally
let uniqueModels = [];
// Plotly layout defaults
const baseLayout = {
margin: { l: 60, r: 30, b: 100, t: 60, pad: 4 },
legend: { bgcolor: 'rgba(255,255,255,0.5)', bordercolor: '#ccc', borderwidth: 1 },
colorway: ['#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd', '#8c564b', '#e377c2', '#7f7f7f', '#bcbd22', '#17becf'],
paper_bgcolor: 'rgba(0,0,0,0)',
plot_bgcolor: 'rgba(0,0,0,0)',
font: {
family: '-apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif',
color: '#212529'
},
title: {
font: { size: 16, weight: '500' },
x: 0.05, xanchor: 'left'
},
xaxis: { gridcolor: '#e9ecef', linecolor: '#adb5bd', automargin: true, tickfont: { size: 10 } },
yaxis: { gridcolor: '#e9ecef', linecolor: '#adb5bd', automargin: true, tickfont: { size: 10 } }
};
function mergeLayout(customLayout) {
let layout = JSON.parse(JSON.stringify(baseLayout));
for (const key in customLayout) {
if (typeof customLayout[key] === 'object' && customLayout[key] !== null && !Array.isArray(customLayout[key]) && layout[key]) {
Object.assign(layout[key], customLayout[key]);
} else {
layout[key] = customLayout[key];
}
}
return layout;
}
function calculateMedian(arr) {
if (!arr || arr.length === 0) return null;
const sortedArr = [...arr].sort((a, b) => a - b);
const mid = Math.floor(sortedArr.length / 2);
return sortedArr.length % 2 !== 0 ? sortedArr[mid] : (sortedArr[mid - 1] + sortedArr[mid]) / 2;
}
function populateModelSelector() {
uniqueModels = [...new Set(allRows.map(r => r.model_id))].sort();
uniqueModels.forEach(modelId => {
const option = document.createElement('option');
option.value = modelId;
option.textContent = modelId;
modelSelector.appendChild(option);
});
}
function updateDashboard(selectedModelId) {
const filteredRows = selectedModelId === 'all'
? allRows
: allRows.filter(row => row.model_id === selectedModelId);
console.log(`Updating dashboard for: ${selectedModelId}, Rows: ${filteredRows.length}`);
// Update KPIs
calculateAndDisplayKPIs(filteredRows, selectedModelId);
// Update Plots
createLatencyByProviderPlot(filteredRows, selectedModelId);
createReliabilityByProviderPlot(filteredRows, selectedModelId);
createErrorTypesByProviderPlot(filteredRows, selectedModelId);
// Show/Hide plots based on selection
if (selectedModelId === 'all') {
plotLatencyModelDiv.style.display = 'flex';
plotLatencyHeatmapDiv.style.display = 'flex';
modelDetailTableContainerDiv.style.display = 'none';
createLatencyByModelPlot(filteredRows); // Only create these for 'all'
createLatencyHeatmap(filteredRows);
} else {
plotLatencyModelDiv.style.display = 'none';
plotLatencyHeatmapDiv.style.display = 'none';
modelDetailTableContainerDiv.style.display = 'flex'; // Show table
createModelDetailTable(filteredRows, selectedModelId);
}
}
// --- Event Listener ---
modelSelector.addEventListener('change', (event) => {
updateDashboard(event.target.value);
});
// --- Initial Fetch ---
fetch(apiUrl)
.then(response => {
if (!response.ok) throw new Error(`HTTP error! status: ${response.status} ${response.statusText}`);
return response.json();
})
.then(data => {
allRows = data.rows.map(item => item.row); // Store globally
console.log(`Fetched ${allRows.length} rows.`);
lastUpdatedElement.textContent = new Date().toLocaleString();
populateModelSelector(); // Populate dropdown
loadingDiv.style.display = 'none';
kpiContainer.style.display = 'grid';
dashboardContainer.style.display = 'grid';
footer.style.display = 'block';
updateDashboard('all'); // Initial load with all models
})
.catch(error => {
console.error('Error fetching or processing data:', error);
loadingDiv.style.display = 'none';
errorDiv.textContent = `Error loading data: ${error.message}. Please check the console. Is the dataset server reachable?`;
errorDiv.style.display = 'block';
});
// --- KPI Calculation Function ---
function calculateAndDisplayKPIs(rows, selectedModelId) {
const context = selectedModelId === 'all' ? 'Overall' : `(${selectedModelId.split('/').pop()})`; // Shorten model name for title
const totalRequests = rows.length;
const successfulRequests = rows.filter(r => r.response_status_code === 200).length;
const successRate = totalRequests > 0 ? ((successfulRequests / totalRequests) * 100).toFixed(1) : 0;
const validLatencies = rows
.map(r => r.duration_ms)
.filter(d => d !== null && d >= 0);
const avgLatency = validLatencies.length > 0
? (validLatencies.reduce((a, b) => a + b, 0) / validLatencies.length).toFixed(0)
: 0;
// Calculate median latency per provider for the filtered data
const latencyByProvider = {};
rows.forEach(row => {
if (row.duration_ms !== null && row.duration_ms >= 0) {
if (!latencyByProvider[row.provider_name]) {
latencyByProvider[row.provider_name] = [];
}
latencyByProvider[row.provider_name].push(row.duration_ms);
}
});
let fastestProvider = '--';
let minMedianLatency = Infinity;
for (const provider in latencyByProvider) {
const median = calculateMedian(latencyByProvider[provider]);
if (median !== null && median < minMedianLatency) {
minMedianLatency = median;
fastestProvider = provider;
}
}
document.getElementById('kpi-title-requests').textContent = `Total Requests ${context}`;
document.getElementById('kpi-title-success').textContent = `Success Rate ${context}`;
document.getElementById('kpi-title-latency').textContent = `Avg. Latency ${context}`;
document.getElementById('kpi-title-fastest').textContent = `Fastest Provider ${context}`;
document.getElementById('kpi-total-requests').textContent = totalRequests;
document.getElementById('kpi-success-rate').innerHTML = `${successRate}<span class="unit">%</span>`;
document.getElementById('kpi-avg-latency').innerHTML = `${avgLatency}<span class="unit">ms</span>`;
document.getElementById('kpi-fastest-provider').textContent = fastestProvider;
}
// --- Plotting Functions (Modified to accept data and context) ---
function createLatencyByProviderPlot(rows, selectedModelId) {
const titleContext = selectedModelId === 'all' ? '' : `for ${selectedModelId.split('/').pop()}`;
const dataByProvider = {};
rows.forEach(row => {
if (!dataByProvider[row.provider_name]) dataByProvider[row.provider_name] = [];
if (row.duration_ms !== null && row.duration_ms >= 0) {
dataByProvider[row.provider_name].push(row.duration_ms);
}
});
const plotData = Object.keys(dataByProvider).sort().map(provider => ({
y: dataByProvider[provider], type: 'box', name: provider, boxpoints: 'Outliers', marker: { size: 4 }
}));
const layout = mergeLayout({
title: { text: `Latency Distribution by Provider ${titleContext}` },
yaxis: { title: 'Duration (ms)', type: 'log', autorange: true },
xaxis: { title: 'Provider', tickangle: -30 },
margin: { b: 120 }
});
Plotly.react(plotLatencyProviderDiv, plotData, layout, {responsive: true}); // Use react for updates
}
function createReliabilityByProviderPlot(rows, selectedModelId) {
const titleContext = selectedModelId === 'all' ? '' : `for ${selectedModelId.split('/').pop()}`;
const statusCountsByProvider = {};
const providersInSelection = new Set();
const statusCodesInSelection = new Set();
rows.forEach(row => {
const provider = row.provider_name;
const status = row.response_status_code ?? 'Unknown';
providersInSelection.add(provider);
statusCodesInSelection.add(status);
if (!statusCountsByProvider[provider]) statusCountsByProvider[provider] = {};
if (!statusCountsByProvider[provider][status]) statusCountsByProvider[provider][status] = 0;
statusCountsByProvider[provider][status]++;
});
const sortedProviders = Array.from(providersInSelection).sort();
const sortedStatusCodes = Array.from(statusCodesInSelection).sort((a, b) => {
if (a === 200) return -1; if (b === 200) return 1;
if (a === 'Unknown') return 1; if (b === 'Unknown') return -1;
return a - b;
});
const plotData = sortedStatusCodes.map(status => ({
x: sortedProviders,
y: sortedProviders.map(provider => statusCountsByProvider[provider]?.[status] || 0),
name: `Status ${status}`, type: 'bar',
hovertemplate: `Provider: %{x}<br>Status: ${status}<br>Count: %{y}<extra></extra>`
}));
const layout = mergeLayout({
title: { text: `Request Status Codes by Provider ${titleContext}` },
barmode: 'stack',
xaxis: { title: 'Provider', tickangle: -30 },
yaxis: { title: 'Number of Requests', autorange: true },
margin: { b: 120 }
});
Plotly.react(plotReliabilityProviderDiv, plotData, layout, {responsive: true});
}
function createLatencyByModelPlot(rows) { // Only shown for 'all'
const dataByModel = {};
rows.forEach(row => {
const model = row.model_id;
if (!dataByModel[model]) dataByModel[model] = [];
if (row.duration_ms !== null && row.duration_ms >= 0) {
dataByModel[model].push(row.duration_ms);
}
});
const plotData = Object.keys(dataByModel).sort().map(model => ({
y: dataByModel[model], type: 'box', name: model, boxpoints: 'Outliers', marker: { size: 4 }
}));
const layout = mergeLayout({
title: { text: 'Latency Distribution by Model (All Providers)' },
yaxis: { title: 'Duration (ms)', type: 'log', autorange: true },
xaxis: { title: 'Model ID', tickangle: -30 },
margin: { b: 180 }
});
Plotly.react(plotLatencyModelDiv, plotData, layout, {responsive: true});
}
function createErrorTypesByProviderPlot(rows, selectedModelId) {
const titleContext = selectedModelId === 'all' ? '' : `for ${selectedModelId.split('/').pop()}`;
const errorCountsByProvider = {};
const providersInSelection = new Set();
const errorCodesInSelection = new Set();
rows.forEach(row => {
if (row.response_status_code !== 200 && row.response_status_code !== null) {
const provider = row.provider_name;
const status = row.response_status_code;
providersInSelection.add(provider);
errorCodesInSelection.add(status);
if (!errorCountsByProvider[provider]) errorCountsByProvider[provider] = {};
if (!errorCountsByProvider[provider][status]) errorCountsByProvider[provider][status] = 0;
errorCountsByProvider[provider][status]++;
}
});
const sortedProviders = Array.from(providersInSelection).sort();
const sortedErrorCodes = Array.from(errorCodesInSelection).sort((a, b) => a - b);
const plotData = sortedErrorCodes.map(status => ({
x: sortedProviders,
y: sortedProviders.map(provider => errorCountsByProvider[provider]?.[status] || 0),
name: `Error ${status}`, type: 'bar',
hovertemplate: `Provider: %{x}<br>Error: ${status}<br>Count: %{y}<extra></extra>`
}));
const layout = mergeLayout({
title: { text: `Error Types by Provider (Non-200 Status) ${titleContext}` },
barmode: 'group',
xaxis: { title: 'Provider', tickangle: -30 },
yaxis: { title: 'Number of Errors', autorange: true },
margin: { b: 120 }
});
Plotly.react(plotErrorTypesProviderDiv, plotData, layout, {responsive: true});
}
function createLatencyHeatmap(rows) { // Only shown for 'all'
const latencyData = {};
const allProviders = new Set();
const allModels = new Set();
rows.forEach(row => {
if (row.duration_ms !== null && row.duration_ms >= 0) {
const provider = row.provider_name;
const model = row.model_id;
allProviders.add(provider);
allModels.add(model);
if (!latencyData[provider]) latencyData[provider] = {};
if (!latencyData[provider][model]) latencyData[provider][model] = { sum: 0, count: 0 };
latencyData[provider][model].sum += row.duration_ms;
latencyData[provider][model].count++;
}
});
const sortedProviders = Array.from(allProviders).sort();
const sortedModels = Array.from(allModels).sort();
const zValues = sortedModels.map(model => sortedProviders.map(provider => {
const data = latencyData[provider]?.[model];
return data?.count > 0 ? data.sum / data.count : null;
}));
const hoverText = sortedModels.map(model => sortedProviders.map(provider => {
const data = latencyData[provider]?.[model];
const avg = data?.count > 0 ? (data.sum / data.count).toFixed(0) : 'N/A';
const count = data?.count || 0;
return `Model: ${model}<br>Provider: ${provider}<br>Avg Latency: ${avg} ms<br>Requests: ${count}<extra></extra>`;
}));
const plotData = [{
z: zValues, x: sortedProviders, y: sortedModels, type: 'heatmap',
hoverongaps: false, colorscale: 'Viridis', reversescale: true,
colorbar: { title: 'Avg Latency (ms)', titleside: 'right', thickness: 15 },
xgap: 2, ygap: 2, hovertemplate: hoverText
}];
const layout = mergeLayout({
title: { text: 'Average Latency (ms) - Model vs. Provider' },
xaxis: { title: '', side: 'top', tickangle: -30 },
yaxis: { title: '', autorange: 'reversed' },
margin: { l: 280, r: 50, b: 50, t: 120 }
});
Plotly.react(plotLatencyHeatmapDiv, plotData, layout, {responsive: true});
}
function createModelDetailTable(rows, selectedModelId) {
document.getElementById('table-title').textContent = `Detailed Comparison for ${selectedModelId.split('/').pop()}`;
const tableHead = document.querySelector('#modelDetailTable thead');
const tableBody = document.querySelector('#modelDetailTable tbody');
tableHead.innerHTML = ''; // Clear previous header
tableBody.innerHTML = ''; // Clear previous body
const providerStats = {}; // { provider: { total: 0, success: 0, errors: 0, latencies: [] } }
rows.forEach(row => {
const provider = row.provider_name;
if (!providerStats[provider]) {
providerStats[provider] = { total: 0, success: 0, errors: 0, latencies: [] };
}
providerStats[provider].total++;
if (row.response_status_code === 200) {
providerStats[provider].success++;
} else if (row.response_status_code !== null) {
providerStats[provider].errors++;
}
if (row.duration_ms !== null && row.duration_ms >= 0) {
providerStats[provider].latencies.push(row.duration_ms);
}
});
// Create Header
const headerRow = tableHead.insertRow();
const headers = ['Provider', 'Median Latency (ms)', 'Success Rate (%)', 'Error Count', 'Total Requests'];
headers.forEach(text => {
const th = document.createElement('th');
th.textContent = text;
headerRow.appendChild(th);
});
// Create Body Rows
const providerDataArray = [];
for (const provider in providerStats) {
const stats = providerStats[provider];
const medianLatency = calculateMedian(stats.latencies);
const successRate = stats.total > 0 ? (stats.success / stats.total * 100) : 0;
providerDataArray.push({
provider: provider,
medianLatency: medianLatency,
successRate: successRate,
errors: stats.errors,
total: stats.total
});
}
// Sort initially by median latency (ascending)
providerDataArray.sort((a, b) => {
if (a.medianLatency === null) return 1; // Nulls last
if (b.medianLatency === null) return -1;
return a.medianLatency - b.medianLatency;
});
providerDataArray.forEach(data => {
const row = tableBody.insertRow();
row.insertCell().textContent = data.provider;
row.insertCell().textContent = data.medianLatency !== null ? data.medianLatency.toFixed(0) : 'N/A';
const successCell = row.insertCell();
successCell.textContent = data.successRate.toFixed(1);
// Add color coding for success rate
if (data.successRate >= 95) successCell.className = 'success-rate-high';
else if (data.successRate >= 80) successCell.className = 'success-rate-medium';
else successCell.className = 'success-rate-low';
const errorCell = row.insertCell();
errorCell.textContent = data.errors;
if (data.errors > 0) errorCell.classList.add('error-count');
row.insertCell().textContent = data.total;
});
}
});
</script>
</body>
</html> |