Files
light_sensor_capture/test/Sensor_datas/visualization.html
2024-12-06 14:01:02 +08:00

229 lines
8.5 KiB
HTML

<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>D3.js Line Chart - Local File with Point Details</title>
<script src="https://d3js.org/d3.v7.min.js"></script>
<style>
.line {
fill: none;
stroke: steelblue;
stroke-width: 2px;
}
.axis {
font: 10px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.dot {
fill: steelblue;
stroke: #fff;
}
.tooltip {
position: absolute;
text-align: center;
width: 120px;
height: 40px;
padding: 2px;
font: 12px sans-serif;
background: lightsteelblue;
border: 0px;
border-radius: 8px;
pointer-events: none;
}
</style>
</head>
<body>
<h1>D3.js Line Chart from Local JSON File with Point Details</h1>
<input type="file" id="fileInput">
<div id="chart"></div>
<script>
// Set the dimensions and margins of the graph
const margin = {top: 20, right: 20, bottom: 30, left: 50};
const width = 960 - margin.left - margin.right;
const height = 500 - margin.top - margin.bottom;
// Parse the date / time
const parseTime = d3.timeParse("%Y-%m-%d");
const formatTime = d3.timeFormat("%Y-%m-%d");
// Set the ranges
const x = d3.scaleLinear().range([0, width]);
const y = d3.scaleLinear().range([height, 0]);
// Define the line
const valueline = d3.line()
.x(d => x(d.timestamp))
.y(d => y(d.lux));
function weightIntegral(x) {
return x * (x * 0.5 + 4000000000);
}
function calculateLux(datas, now) {
var sum = 0, totalWeight = 0, endDelta = 100000000;
for (var i = datas.length - 1; i >= 0; i--) {
var eventTime = datas[i].timestamp;
var startDelta = eventTime - now;
var weight = weightIntegral(endDelta) - weightIntegral(startDelta);
var lux = datas[i].lux;
totalWeight += weight;
sum += lux * weight;
endDelta = startDelta;
}
return sum / totalWeight;
}
// Function to create the chart
function createChart(data) {
var timestampNow;
var fastLuxData = [];
var slowLuxData = [];
var datasets = [];
for (timestampNow=data[0].timestamp; timestampNow<=data[data.length-1].timestamp; timestampNow+=200000000) {
var fastRingBuffer = data.filter((value) => value.timestamp >= timestampNow-2000000000 && value.timestamp <= timestampNow);
var slowRingBuffer = data.filter((value) => value.timestamp >= timestampNow-4000000000 && value.timestamp <= timestampNow);
if (fastRingBuffer.length <= 1) {
fastLuxData.push(data[0]);
} else {
fastLuxData.push({timestamp:timestampNow, lux:calculateLux(fastRingBuffer, timestampNow)});
}
if (slowRingBuffer.length <= 1) {
slowLuxData.push(data[0]);
} else {
slowLuxData.push({timestamp:timestampNow, lux:calculateLux(slowRingBuffer, timestampNow)});
}
}
var dataObj = new Object();
dataObj.name = "original";
dataObj.values = data;
datasets.push(dataObj);
var fastLuxDataObj = new Object();
fastLuxDataObj.name = "fastLuxData";
fastLuxDataObj.values = fastLuxData;
datasets.push(fastLuxDataObj);
var slowLuxDataObj = new Object();
slowLuxDataObj.name = "slowLuxData";
slowLuxDataObj.values = slowLuxData;
datasets.push(slowLuxDataObj);
console.log(datasets.length);
console.log(datasets[0]);
datasets = JSON.parse(JSON.stringify(datasets));
// Clear previous chart if any
d3.select("#chart").html("");
// Append the svg object to the body of the page
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})`);
// Create tooltip
const tooltip = d3.select("body").append("div")
.attr("class", "tooltip")
.style("opacity", 0);
// Format the data
/*fastLuxData.forEach(function(d) {
d.timestamp = d.timestamp;//parseTime(d.timestamp);
d.lux = +d.lux;
});*/
// Scale the range of the data
// Scale the range of the data
x.domain(d3.extent(datasets[0].values.flatMap(d => d.timestamp), d => d.timestamp));
y.domain([0, d3.max(datasets[0].values.flatMap(d => d.lux), d => d.lux)]);
// Add the valueline paths
const dataset = svg.selectAll(".dataset")
.data(datasets)
.enter().append("g")
.attr("class", "dataset");
dataset.append("path")
.attr("class", "line")
.attr("d", d => valueline(d.values))
.style("stroke", d => color(d.name));
// Add the X Axis
svg.append("g")
.attr("transform", `translate(0,${height})`)
.call(d3.axisBottom(x));
// Add the Y Axis
svg.append("g")
.call(d3.axisLeft(y));
// Add the dots
dataset.each(function(dataset) {
d3.select(this).selectAll(".dot")
.data(dataset.values)
.enter().append("circle")
.attr("class", "dot")
.attr("r", 5)
.attr("cx", d => x(d.timestamp))
.attr("cy", d => y(d.lux))
.style("fill", color(dataset.name))
.on("mouseover", function(event, d) {
tooltip.transition()
.duration(200)
.style("opacity", .9);
tooltip.html(`${dataset.name}<br/>timestamp: ${d.timestamp}<br/>lux: ${d.lux}`)
.style("left", (event.pageX + 5) + "px")
.style("top", (event.pageY - 28) + "px");
})
.on("mouseout", function(d) {
tooltip.transition()
.duration(500)
.style("opacity", 0);
});
});
// Add a legend
const legend = svg.selectAll('.legend')
.data(datasets)
.enter().append('g')
.attr('class', 'legend')
.attr('transform', (d, i) => `translate(0,${i * 20})`);
legend.append('rect')
.attr('x', width + 5)
.attr('width', 18)
.attr('height', 18)
.style('fill', d => color(d.name));
legend.append('text')
.attr('x', width + 25)
.attr('y', 9)
.attr('dy', '.35em')
.style('text-anchor', 'start')
.text(d => d.name);
}
// File input event listener
document.getElementById('fileInput').addEventListener('change', function(e) {
const file = e.target.files[0];
if (file) {
const reader = new FileReader();
reader.onload = function(e) {
const contents = e.target.result;
try {
const data = JSON.parse(contents);
createChart(data);
} catch (error) {
console.error("Error parsing JSON:", error);
alert("Error parsing JSON file. Please make sure it's a valid JSON.");
}
};
reader.readAsText(file);
}
});
</script>
</body>
</html>