mirror of
https://github.com/ClusterCockpit/cc-backend
synced 2025-07-26 22:26:08 +02:00
Change to prod data, allow and handle null data
- fix errors regarding render timing - always collect time info in transFormData function - remove size from polar plot
This commit is contained in:
Christoph Kluge
@@ -22,7 +22,6 @@
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LineElement
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);
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export let size
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export let metrics
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export let cluster
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export let jobMetrics
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@@ -95,7 +94,7 @@
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</script>
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<div class="chart-container">
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<Radar {data} {options} width={size} height={size}/>
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<Radar {data} {options}/>
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</div>
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<style>
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@@ -4,99 +4,52 @@
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import { onMount, onDestroy } from 'svelte'
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import { Card } from 'sveltestrap'
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export let flopsAny = null
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export let memBw = null
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export let maxY = null
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export let data = null
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export let renderTime = false
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export let maxY = null // Optional
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export let cluster = null
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export let width = 500
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export let height = 300
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export let renderTime = false
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export let data = null
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let plotWrapper = null
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let uplot = null
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let timeoutId = null
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// Three Render-Cases:
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// #1 Single-Job Roofline -> Has Time-Information: Use data, allow renderTime
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// #2 MultiNode Roofline - > Has No Time-Information: Transform from nodeData, only "IST"-state of nodes, no timeInfo
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// #3 Multi-Job Roofline as Heatmap -> Keep Original
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/* Data Format
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* data = [null, [], []] // 0: null-axis required for scatter, 1: Array of XY-Array for Scatter, 2: Optional Time Info
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* data[1][0] = [100, 200, 500, ...] // X Axis -> Intensity (Vals up to clusters' flopRateScalar value)
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* data[1][1] = [1000, 2000, 1500, ...] // Y Axis -> Performance (Vals up to clusters' flopRateSimd value)
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* data[2] = [0.1, 0.15, 0.2, ...] // Color Code -> Time Information (Floats from 0 to 1) (Optional)
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*/
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// Start Demo Data
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function randInt(min, max) {
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return Math.floor(Math.random() * (max - min + 1)) + min;
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}
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function randFloat(min, max) {
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return roundTwo(((Math.random() * (max - min + 1)) + min) / randInt(1, 500));
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}
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function roundTwo(num) {
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return Math.round((num + Number.EPSILON) * 100) / 100
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}
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function filledArr(len, val, time) {
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let arr = Array(len);
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if (typeof val == "function") {
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for (let i = 0; i < len; ++i)
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arr[i] = val(i);
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}
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else if (time) {
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for (let i = 0; i < len; ++i)
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arr[i] = i / 1000;
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}
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else {
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for (let i = 0; i < len; ++i)
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arr[i] = i;
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}
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return arr;
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}
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let points = 1000;
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data = [null, []] // Null-Axis required for scatter
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data[1][0] = filledArr(points, i => randFloat(1,5000), false) // Intensity
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data[1][1] = filledArr(points, i => randFloat(1,5000), false) // Performance
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// data[1][0] = filledArr(points, 0, false) // Intensity
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// data[1][1] = filledArr(points, 0, false) // Performance
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data[2] = filledArr(points, 0, true) // Time Information (Optional)
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// End Demo Data
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// Check
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// console.assert(data , "you must provide data")
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// Helpers
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function getGradientR(x) {
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if (x < 0.5) return 0
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if (x > 0.75) return 255
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x = (x - 0.5) * 4.0
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return Math.floor(x * 255.0)
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}
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function getGradientG(x) {
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if (x > 0.25 && x < 0.75) return 255
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if (x < 0.25) x = x * 4.0
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else x = 1.0 - (x - 0.75) * 4.0
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return Math.floor(x * 255.0)
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}
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function getGradientB(x) {
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if (x < 0.25) return 255
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if (x > 0.5) return 0
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x = 1.0 - (x - 0.25) * 4.0
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return Math.floor(x * 255.0)
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}
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function getRGB(c) {
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return `rgb(${getGradientR(c)}, ${getGradientG(c)}, ${getGradientB(c)})`
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}
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function nearestThousand (num) {
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return Math.ceil(num/1000) * 1000
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}
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function lineIntersect(x1, y1, x2, y2, x3, y3, x4, y4) {
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let l = (y4 - y3) * (x2 - x1) - (x4 - x3) * (y2 - y1)
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let a = ((x4 - x3) * (y1 - y3) - (y4 - y3) * (x1 - x3)) / l
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@@ -105,12 +58,11 @@
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y: y1 + a * (y2 - y1)
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}
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}
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// End Helpers
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// Dot Renderers
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const drawColorPoints = (u, seriesIdx, idx0, idx1) => {
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const size = 5 * devicePixelRatio;
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uPlot.orient(u, seriesIdx, (series, dataX, dataY, scaleX, scaleY, valToPosX, valToPosY, xOff, yOff, xDim, yDim, moveTo, lineTo, rect, arc) => {
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let d = u.data[seriesIdx];
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let deg360 = 2 * Math.PI;
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@@ -136,7 +88,6 @@
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const drawPoints = (u, seriesIdx, idx0, idx1) => {
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const size = 5 * devicePixelRatio;
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uPlot.orient(u, seriesIdx, (series, dataX, dataY, scaleX, scaleY, valToPosX, valToPosY, xOff, yOff, xDim, yDim, moveTo, lineTo, rect, arc) => {
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let d = u.data[seriesIdx];
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u.ctx.strokeStyle = getRGB(0);
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@@ -158,113 +109,121 @@
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return null;
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};
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function render() {
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const opts = {
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title: "",
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mode: 2,
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width: width,
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height: height,
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legend: {
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show: false
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},
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cursor: { drag: { x: false, y: false } },
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axes: [
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{ label: 'Intensity [FLOPS/Byte]' },
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{ label: 'Performace [GFLOPS]' }
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],
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scales: {
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x: {
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time: false,
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range: [0.01, 1000],
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distr: 3, // Render as log
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log: 10, // log exp
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// Main Function
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function render(plotData) {
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if (plotData) {
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const opts = {
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title: "",
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mode: 2,
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width: width,
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height: height,
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legend: {
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show: false
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},
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y: {
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range: [1.0, nearestThousand(cluster.flopRateSimd.value || maxY)],
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distr: 3, // Render as log
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log: 10, // log exp
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},
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},
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series: [
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{},
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{ paths: renderTime ? drawColorPoints : drawPoints }
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],
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hooks: {
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drawClear: [
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u => {
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u.series.forEach((s, i) => {
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if (i > 0)
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s._paths = null;
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});
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cursor: { drag: { x: false, y: false } },
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axes: [
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{
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label: 'Intensity [FLOPS/Byte]',
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values: (u, vals) => vals.map(v => formatNumber(v))
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},
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],
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draw: [
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u => { // draw roofs when cluster set
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// console.log(u)
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if (cluster != null) {
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const padding = u._padding // [top, right, bottom, left]
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u.ctx.strokeStyle = 'black'
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u.ctx.lineWidth = 2
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u.ctx.beginPath()
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const ycut = 0.01 * cluster.memoryBandwidth.value
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const scalarKnee = (cluster.flopRateScalar.value - ycut) / cluster.memoryBandwidth.value
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const simdKnee = (cluster.flopRateSimd.value - ycut) / cluster.memoryBandwidth.value
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const scalarKneeX = u.valToPos(scalarKnee, 'x', true), // Value, axis, toCanvasPixels
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simdKneeX = u.valToPos(simdKnee, 'x', true),
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flopRateScalarY = u.valToPos(cluster.flopRateScalar.value, 'y', true),
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flopRateSimdY = u.valToPos(cluster.flopRateSimd.value, 'y', true)
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if (scalarKneeX < width - padding[1]) { // Top horizontal roofline
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u.ctx.moveTo(scalarKneeX, flopRateScalarY)
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u.ctx.lineTo(width - padding[1], flopRateScalarY)
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}
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if (simdKneeX < width - padding[1]) { // Lower horitontal roofline
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u.ctx.moveTo(simdKneeX, flopRateSimdY)
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u.ctx.lineTo(width - padding[1], flopRateSimdY)
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}
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let x1 = u.valToPos(0.01, 'x', true),
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y1 = u.valToPos(ycut, 'y', true)
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let x2 = u.valToPos(simdKnee, 'x', true),
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y2 = flopRateSimdY
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let xAxisIntersect = lineIntersect(
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x1, y1, x2, y2,
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u.valToPos(0.01, 'x', true), u.valToPos(1.0, 'y', true), // X-Axis Start Coords
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u.valToPos(1000, 'x', true), u.valToPos(1.0, 'y', true) // X-Axis End Coords
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)
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if (xAxisIntersect.x > x1) {
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x1 = xAxisIntersect.x
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y1 = xAxisIntersect.y
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}
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// Diagonal
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u.ctx.moveTo(x1, y1)
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u.ctx.lineTo(x2, y2)
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u.ctx.stroke()
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// Reset grid lineWidth
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u.ctx.lineWidth = 0.15
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}
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{
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label: 'Performace [GFLOPS]',
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values: (u, vals) => vals.map(v => formatNumber(v))
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}
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]
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},
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};
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],
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scales: {
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x: {
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time: false,
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range: [0.01, 1000],
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distr: 3, // Render as log
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log: 10, // log exp
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},
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y: {
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range: [1.0, nearestThousand(cluster.flopRateSimd.value || maxY)],
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distr: 3, // Render as log
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log: 10, // log exp
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},
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},
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series: [
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{},
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{ paths: renderTime ? drawColorPoints : drawPoints }
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],
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hooks: {
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drawClear: [
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u => {
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u.series.forEach((s, i) => {
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if (i > 0)
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s._paths = null;
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});
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},
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],
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draw: [
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u => { // draw roofs when cluster set
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// console.log(u)
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if (cluster != null) {
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const padding = u._padding // [top, right, bottom, left]
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uplot = new uPlot(opts, data, plotWrapper);
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u.ctx.strokeStyle = 'black'
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u.ctx.lineWidth = 2
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u.ctx.beginPath()
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const ycut = 0.01 * cluster.memoryBandwidth.value
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const scalarKnee = (cluster.flopRateScalar.value - ycut) / cluster.memoryBandwidth.value
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const simdKnee = (cluster.flopRateSimd.value - ycut) / cluster.memoryBandwidth.value
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const scalarKneeX = u.valToPos(scalarKnee, 'x', true), // Value, axis, toCanvasPixels
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simdKneeX = u.valToPos(simdKnee, 'x', true),
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flopRateScalarY = u.valToPos(cluster.flopRateScalar.value, 'y', true),
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flopRateSimdY = u.valToPos(cluster.flopRateSimd.value, 'y', true)
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if (scalarKneeX < width - padding[1]) { // Top horizontal roofline
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u.ctx.moveTo(scalarKneeX, flopRateScalarY)
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u.ctx.lineTo(width - padding[1], flopRateScalarY)
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}
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if (simdKneeX < width - padding[1]) { // Lower horitontal roofline
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u.ctx.moveTo(simdKneeX, flopRateSimdY)
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u.ctx.lineTo(width - padding[1], flopRateSimdY)
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}
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let x1 = u.valToPos(0.01, 'x', true),
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y1 = u.valToPos(ycut, 'y', true)
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let x2 = u.valToPos(simdKnee, 'x', true),
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y2 = flopRateSimdY
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let xAxisIntersect = lineIntersect(
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x1, y1, x2, y2,
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u.valToPos(0.01, 'x', true), u.valToPos(1.0, 'y', true), // X-Axis Start Coords
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u.valToPos(1000, 'x', true), u.valToPos(1.0, 'y', true) // X-Axis End Coords
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)
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if (xAxisIntersect.x > x1) {
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x1 = xAxisIntersect.x
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y1 = xAxisIntersect.y
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}
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// Diagonal
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u.ctx.moveTo(x1, y1)
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u.ctx.lineTo(x2, y2)
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u.ctx.stroke()
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// Reset grid lineWidth
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u.ctx.lineWidth = 0.15
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}
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}
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]
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},
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};
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uplot = new uPlot(opts, plotData, plotWrapper);
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} else {
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console.log('No data for roofline!')
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}
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}
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// Copied from Histogram
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// Svelte and Sizechange
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onMount(() => {
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render()
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render(data)
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})
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onDestroy(() => {
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if (uplot)
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uplot.destroy()
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@@ -272,7 +231,6 @@
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if (timeoutId != null)
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clearTimeout(timeoutId)
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})
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function sizeChanged() {
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if (timeoutId != null)
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clearTimeout(timeoutId)
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@@ -281,13 +239,10 @@
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timeoutId = null
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if (uplot)
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uplot.destroy()
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render()
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render(data)
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}, 200)
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}
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$: sizeChanged(width, height)
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</script>
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{#if data != null}
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Reference in New Issue
Block a user