More like a library now
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141a5bf888
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1fe69cd88f
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@ -3,10 +3,16 @@
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<head>
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<title>Webstat</title>
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<meta charset="utf-8">
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<script src="webstat.mjs" type="module"></script>
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<script src="main.mjs" type="module"></script>
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<style>
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#pie {
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max-width: 50px;
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}
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</style>
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</head>
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<body>
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<div><canvas id="stats"></canvas></div>
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<div id="pie"></div>
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<div id="chart"></div>
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</body>
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</html>
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@ -0,0 +1,32 @@
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import * as WebStat from "./webstat.mjs"
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const Millisecond = 1
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const Second = 1000 * Millisecond
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const Minute = 60 * Second
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class App {
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constructor() {
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this.stat = new WebStat.Stat()
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this.areaChart = new WebStat.AreaChart(document.querySelector("#chart"))
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this.pieChart = new WebStat.PieChart(document.querySelector("#pie"))
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setInterval(()=>this.update(), 2 * Second)
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}
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async update() {
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this.stat.update()
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this.areaChart.update(this.stat)
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this.pieChart.update(this.stat)
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}
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}
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function init() {
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new App()
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}
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if (document.readyState === "loading") {
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document.addEventListener("DOMContentLoaded", init)
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} else {
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init()
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}
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140
web/webstat.mjs
140
web/webstat.mjs
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@ -1,10 +1,6 @@
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//import Chart from "https://esm.run/chart.js@4.2.1/auto"
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import Chart from "https://cdn.jsdelivr.net/npm/chart.js@4.2.1/auto/+esm"
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const Millisecond = 1
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const Second = 1000 * Millisecond
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const Minute = 60 * Second
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function qpush(arr, val, len) {
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arr.push(val)
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if (arr.length > len) {
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@ -13,36 +9,53 @@ function qpush(arr, val, len) {
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}
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class Stat {
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constructor(text) {
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let lines = text.split("\n")
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constructor() {
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this.Stat = {}
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this.LastStat = {}
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}
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async update() {
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let resp = await fetch("proc/stat")
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let stext = await resp.text()
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let lines = stext.split("\n")
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this.Date = new Date(resp.headers.get("Date"))
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this.LastStat = this.Stat
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this.Stat = {}
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for (let line of lines) {
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let parts = line.split(/\s+/)
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let key = parts.shift()
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let vals = parts.map(Number)
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if (key.startsWith("cpu")) {
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this[key] = {
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user: vals[0],
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nice: vals[1],
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sys: vals[2],
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idle: vals[3],
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wait: vals[4],
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irq: vals[5],
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softirq: vals[6],
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steal: vals[7],
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guest: vals[8],
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guestNice: vals[9],
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this.Stat[key] = vals
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}
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} else {
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this[key] = vals
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}
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cpu(n="") {
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let key = `cpu${n}`
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let vals = this.Stat[key]
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let prev = this.LastStat[key]
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if (!vals || !prev) {
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return {}
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}
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let total = vals.reduce((a,b)=>a+b) - prev.reduce((a,b)=>a+b)
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return {
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user: (vals[0] - prev[0]) / total,
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nice: (vals[1] - prev[1]) / total,
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sys: (vals[2] - prev[2]) / total,
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idle: (vals[3] - prev[3]) / total,
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wait: (vals[4] - prev[4]) / total,
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irq: (vals[5] - prev[5]) / total,
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softirq: (vals[6] - prev[6]) / total,
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steal: (vals[7] - prev[7]) / total,
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guest: (vals[8] - prev[8]) / total,
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guestNice: (vals[9] - prev[9]) / total,
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}
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}
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}
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class StatUpdater {
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constructor(interval, width=60) {
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class AreaChart {
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constructor(element, width=60) {
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this.width = width
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this.canvas = document.querySelector("#stats")
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this.canvas = element.appendChild(document.createElement("canvas"))
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this.data ={
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labels: [],
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datasets: []
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@ -78,44 +91,63 @@ class StatUpdater {
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}
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}
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)
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setInterval(() => this.update(), interval)
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this.update()
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}
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async update() {
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let now = Date.now()
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let resp = await fetch("proc/stat")
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let stext = await resp.text()
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let stat = new Stat(stext)
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if (this.last) {
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let user = stat.cpu.user - this.last.cpu.user
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let nice = stat.cpu.nice - this.last.cpu.nice
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let sys = stat.cpu.sys - this.last.cpu.sys
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let idle = stat.cpu.idle - this.last.cpu.idle
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let wait = stat.cpu.wait - this.last.cpu.wait
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let total = user + nice + sys + idle + wait
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async update(stat) {
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let now = stat.Date
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let cpu = stat.cpu()
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qpush(this.data.labels, now, this.width)
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qpush(this.datasets.user, user/total, this.width)
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qpush(this.datasets.nice, nice/total, this.width)
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qpush(this.datasets.sys, sys/total, this.width)
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qpush(this.datasets.idle, idle/total, this.width)
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qpush(this.datasets.wait, wait/total, this.width)
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//this.data.datasets[0].label= `user: ${user/total*100}`
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}
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this.last = stat
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qpush(this.datasets.user, cpu.user, this.width)
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qpush(this.datasets.nice, cpu.nice, this.width)
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qpush(this.datasets.sys, cpu.sys, this.width)
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qpush(this.datasets.idle, cpu.idle, this.width)
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qpush(this.datasets.wait, cpu.wait, this.width)
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this.chart.update()
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}
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}
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function init() {
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new StatUpdater(2*Second)
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class PieChart {
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constructor(element) {
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this.canvas = element.appendChild(document.createElement("canvas"))
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this.data ={
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labels: ["user", "nice", "sys", "idle", "wait"],
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datasets: []
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}
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this.chart = new Chart(
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this.canvas,
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{
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type: "pie",
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data: this.data,
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options: {
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animation: false,
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borderWidth: 0,
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backgroundColor: [
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"red",
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"green",
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"orange",
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"rgba(0, 64, 0, 0.2)",
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"magenta",
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],
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plugins: {
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legend: { display: false },
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},
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},
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}
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)
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}
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if (document.readyState === "loading") {
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document.addEventListener("DOMContentLoaded", init)
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} else {
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init()
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async update(stat) {
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let cpu = stat.cpu()
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this.data.datasets = [{
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label: "Current",
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data: [cpu.user, cpu.nice, cpu.sys, cpu.idle, cpu.wait],
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}]
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this.chart.update()
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}
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}
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export {
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Stat,
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AreaChart,
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PieChart,
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}
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