iamvisual/crates/iamalive/assets/html/index.html

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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>Space-Themed Heatmap</title>
<script src="https://d3js.org/d3.v7.min.js"></script>
<style>
html, body {
background-color: #0B0C10;
color: #E5E5E5;
font-family: Arial, sans-serif;
}
svg {
display: block;
margin: auto;
}
#title {
padding: 1rem 2rem;
}
.divider {
height: 1px;
width: 80%;
background-color: #E5E5E5;
}
.legend {
font-size: 12px;
display: flex;
justify-content: center;
flex-wrap: wrap;
}
.legend-item {
display: flex;
align-items: center;
margin: 5px;
}
.legend-color {
width: 15px;
height: 15px;
margin-right: 5px;
}
</style>
</head>
<body>
<h2 id="title">Live Activity</h2>
<div id="chart"></div>
<div id="legend" class="legend"></div>
<script>
const horizontal = true;
const categoryAmount = 10;
const intervalTime = 500
let categoryQueue = [];
let intervalNow = Math.floor(Date.now() / 1000) - 1;
setInterval(() => {
const unixTimestampNow = Math.floor(Date.now() / 1000);
let resp = fetch("http://localhost:3000/metrics?start=" + intervalNow + "&end=" + unixTimestampNow)
.then((resp) => {
if (resp.ok) {
return resp.json()
} else {
throw new Error("failed to get response")
}
}).then((json) => {
categoryQueue = [
...categoryQueue,
json
]
console.log("received category")
});
intervalNow = unixTimestampNow;
}, intervalTime);
const parentWidth = document.querySelector('#chart').parentElement.offsetWidth;
// Dimensions
const margin = { top: 20, right: 20, bottom: 20, left: 50 };
//const width = 1200 - margin.left - margin.right;
const width = parentWidth - margin.left - margin.right;
const blockLength = width / (60 * 2); // 60 seconds * 2 poll rate pr second
const height = 75 * categoryAmount / 2 - margin.top - margin.bottom;
// Categories with labels
const categories = [
{ id: 0, label: "User Onboarded", color: "#D90429" }, // NASA Red
{ id: 1, label: "Payment Accepted", color: "#0E79B2" }, // Space Blue
{ id: 2, label: "Payment Failed", color: "#F46036" }, // Fuel Orange
{ id: 3, label: "Product Added to Cart", color: "#F2C94C" }, // Solar Gold
{ id: 4, label: "Checkout Started", color: "#9CA3AF" }, // Neutral Gray
{ id: 5, label: "Order Placed", color: "#8B4513" },
{ id: 6, label: "Order Cancelled", color: "#FF69B4" },
{ id: 7, label: "Refund Processed", color: "#A9A9A9" },
{ id: 8, label: "Subscription Renewed", color: "#BDB76B" },
{ id: 9, label: "Feedback Submitted", color: "#00FFFF" },
].filter((c) => c.id < categoryAmount);
// Store last intensity for each category
const lastIntensity = new Map(categories.map(c => [c.id, Math.random()]));
// Create Legend
const legend = d3.select("#legend");
categories.forEach(category => {
const item = legend.append("div").attr("class", "legend-item");
item.append("div")
.attr("class", "legend-color")
.style("background-color", category.color);
item.append("span").text(category.label);
});
// Create SVG
const svg = d3.select("#chart")
.append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", `translate(${margin.left},${margin.top})`);
const defs = svg.append("defs");
defs.append("filter")
.attr("id", "blend-multiply")
.append("feBlend")
.attr("mode", "multiply")
.attr("in", "SourceGraphic")
.attr("in2", "BackgroundImage");
// Time scales
var x, y;
if (horizontal) {
x = d3.scaleTime()
.domain([new Date(Date.now() - 60000), new Date()]) // Past 1 min to now
.range([width, 0]);
y = d3.scaleBand()
.domain(categories.map(c => c.id)) // Category IDs
.range([0, height]);
} else {
y = d3.scaleTime()
.domain([new Date(Date.now() - 60000), new Date()]) // Past 1 min to now
.range([height, 0]);
x = d3.scaleBand()
.domain(categories.map(c => c.id)) // Category IDs
.range([0, width]);
}
// Heatmap group
const grid = svg.append("g");
// Initialize heatmap
function updateHeatmap(data) {
const cells = grid.selectAll("rect").data(data, d => d.id);
if (horizontal) {
cells.enter()
.append("rect")
.attr("y", d => y(d.category))
//.attr("width", 12)
.attr("width", blockLength)
.attr("x", d => x(new Date(d.timestamp)))
.attr("height", 25) // Minimized spacing between blocks
.attr("fill", d => categories[d.category].color)
.attr("opacity", d => d.intensity)
//.attr("filter", "url(#blend-multiply)") // Apply blend mode
.merge(cells) // Merge updates
.attr("x", d => x(new Date(d.timestamp)))
.attr("opacity", d => d.intensity)
.attr("visibility", d =>
x(new Date(d.timestamp)) >= 0 && x(new Date(d.timestamp)) <= width
? "visible"
: "hidden"
);
} else {
// Enter new data
cells.enter()
.append("rect")
.attr("x", d => x(d.category))
.attr("width", x.bandwidth())
.attr("y", d => y(new Date(d.timestamp)))
.attr("height", 4) // Minimized spacing between blocks
.attr("fill", d => categories[d.category].color)
.attr("opacity", d => d.intensity)
.merge(cells) // Merge updates
.attr("y", d => y(new Date(d.timestamp)))
.attr("opacity", d => d.intensity)
.attr("visibility", d =>
y(new Date(d.timestamp)) >= 0 && y(new Date(d.timestamp)) <= height
? "visible"
: "hidden"
);
}
// Remove old data that moves off the screen
cells.exit().remove();
}
// Real-time simulation
let allData = [];
const scrollingSpeed = 20; // Pixels per second
let maxIntensity = 1;
setInterval(() => {
let newMax = 1;
allData.map(c => {
if (c.amount > newMax) {
if (newMax < maxIntensity) {
maxIntensity = newMax;
}
}
})
}, 10000)
function generateData() {
const item = categoryQueue.pop();
if (item == undefined) {
return
}
const newData = item.metrics.map((c, i) => {
if (c.amount > maxIntensity) {
maxIntensity = c.amount;
}
if (c.amount == 0) {
return null
}
const newIntensity = c.amount / maxIntensity
console.log(maxIntensity);
const smoothIntensity = d3.interpolate(lastIntensity.get(i), newIntensity)(0.5); // Smooth transition
lastIntensity.set(c.event_name, smoothIntensity); // Update last intensity
return {
id: `${Date.now()}-${c.event_name}`,
category: i,
timestamp: Date.now(),
intensity: smoothIntensity,
color: categories[i].color,
amount: c.amount,
}
}).filter(Boolean);
allData = [...allData, ...newData].filter(d => new Date(d.timestamp) >= new Date(Date.now() - 600000))
return
// Simulate sporadic events with intensity
//const newData = categories.map(c => {
// if (Math.random() < 0.7) return null; // 70% chance no data for this category
// const newIntensity = Math.random(); // Random intensity
// const smoothIntensity = d3.interpolate(lastIntensity.get(c.id), newIntensity)(0.5); // Smooth transition
// lastIntensity.set(c.id, smoothIntensity); // Update last intensity
// return {
// id: `${Date.now()}-${c.id}`,
// category: c.id,
// timestamp: Date.now(),
// intensity: smoothIntensity,
// };
//}).filter(Boolean); // Remove null values
//// Append new data and remove older ones beyond the last 60 seconds
//allData = [...allData, ...newData].filter(d =>
// new Date(d.timestamp) >= new Date(Date.now() - 60000)
//);
}
// Continuous scroll
let lastTimestamp = Date.now();
d3.timer(elapsed => {
const now = Date.now();
const delta = now - lastTimestamp;
// Generate data periodically (every 500ms for more activity)
if (delta >= 500) {
generateData();
lastTimestamp = now;
}
// Update the domain of the y-axis
const currentTime = new Date();
const pastTime = new Date(currentTime.getTime() - 60000);
if (horizontal) {
x.domain([pastTime, currentTime]);
} else {
y.domain([pastTime, currentTime]);
}
// Update positions of all heatmap cells
updateHeatmap(allData);
}, 150);
</script>
</body>
</html>