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https://github.com/ClusterCockpit/cc-backend
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review polar plot component, adds min dataset
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@ -45,7 +45,7 @@
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if (footprintData) {
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if (footprintData) {
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return footprintData.filter(fpd => {
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return footprintData.filter(fpd => {
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if (!jobMetrics.find(m => m.name == fpd.name && m.scope == "node" || fpd.impact == 4)) {
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if (!jobMetrics.find(m => m.name == fpd.name && m.scope == "node" || fpd.impact == 4)) {
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console.warn(`PolarPlot: No metric data (or config) for '${fpd.name}'`)
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console.warn(`PolarPlot: No metric data for '${fpd.name}'`)
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return false
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return false
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}
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}
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return true
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return true
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@ -72,6 +72,7 @@
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const getMetricConfig = getContext("getMetricConfig");
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const getMetricConfig = getContext("getMetricConfig");
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const getValuesForStatGeneric = (getStat) => labels.map(name => {
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const getValuesForStatGeneric = (getStat) => labels.map(name => {
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// TODO: Requires Scaling if Shared Job
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const peak = getMetricConfig(cluster, subCluster, name).peak
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const peak = getMetricConfig(cluster, subCluster, name).peak
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const metric = jobMetrics.find(m => m.name == name && m.scope == "node")
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const metric = jobMetrics.find(m => m.name == name && m.scope == "node")
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const value = getStat(metric.metric) / peak
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const value = getStat(metric.metric) / peak
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@ -79,6 +80,7 @@
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})
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})
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const getValuesForStatFootprint = (getStat) => labels.map(name => {
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const getValuesForStatFootprint = (getStat) => labels.map(name => {
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// FootprintData 'Peak' is pre-scaled for Shared Jobs in JobSummary Component
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const peak = footprintData.find(fpd => fpd.name === name).peak
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const peak = footprintData.find(fpd => fpd.name === name).peak
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const metric = jobMetrics.find(m => m.name == name && m.scope == "node")
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const metric = jobMetrics.find(m => m.name == name && m.scope == "node")
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const value = getStat(metric.metric) / peak
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const value = getStat(metric.metric) / peak
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@ -86,14 +88,21 @@
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})
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})
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function getMax(metric) {
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function getMax(metric) {
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let max = 0
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let max = metric.series[0].statistics.max;
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for (let series of metric.series)
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for (let series of metric.series)
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max = Math.max(max, series.statistics.max)
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max = Math.max(max, series.statistics.max)
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return max
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return max
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}
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}
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function getMin(metric) {
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let min = metric.series[0].statistics.min;
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for (let series of metric.series)
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min = Math.min(min, series.statistics.min)
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return min
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}
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function getAvg(metric) {
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function getAvg(metric) {
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let avg = 0
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let avg = 0;
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for (let series of metric.series)
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for (let series of metric.series)
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avg += series.statistics.avg
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avg += series.statistics.avg
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return avg / metric.series.length
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return avg / metric.series.length
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@ -104,6 +113,8 @@
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return getValuesForStatGeneric(getAvg)
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return getValuesForStatGeneric(getAvg)
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} else if (type === 'max') {
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} else if (type === 'max') {
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return getValuesForStatGeneric(getMax)
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return getValuesForStatGeneric(getMax)
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} else if (type === 'min') {
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return getValuesForStatGeneric(getMin)
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}
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}
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console.log('Unknown Type For Polar Data')
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console.log('Unknown Type For Polar Data')
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return []
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return []
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@ -114,6 +125,8 @@
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return getValuesForStatFootprint(getAvg)
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return getValuesForStatFootprint(getAvg)
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} else if (type === 'max') {
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} else if (type === 'max') {
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return getValuesForStatFootprint(getMax)
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return getValuesForStatFootprint(getMax)
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} else if (type === 'min') {
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return getValuesForStatFootprint(getMin)
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}
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}
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console.log('Unknown Type For Polar Data')
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console.log('Unknown Type For Polar Data')
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return []
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return []
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@ -124,25 +137,36 @@
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datasets: [
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datasets: [
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{
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{
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label: 'Max',
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label: 'Max',
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data: footprintData ? loadDataForFootprint('max') : loadDataGeneric('max'), //
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data: footprintData ? loadDataForFootprint('max') : loadDataGeneric('max'), // Node Scope Only
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fill: 1,
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fill: 1,
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backgroundColor: 'rgba(0, 102, 255, 0.25)',
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backgroundColor: 'rgba(0, 0, 255, 0.25)',
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borderColor: 'rgb(0, 102, 255)',
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borderColor: 'rgb(0, 0, 255)',
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pointBackgroundColor: 'rgb(0, 102, 255)',
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pointBackgroundColor: 'rgb(0, 0, 255)',
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pointBorderColor: '#fff',
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pointBorderColor: '#fff',
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pointHoverBackgroundColor: '#fff',
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pointHoverBackgroundColor: '#fff',
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pointHoverBorderColor: 'rgb(0, 102, 255)'
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pointHoverBorderColor: 'rgb(0, 0, 255)'
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},
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},
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{
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{
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label: 'Avg',
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label: 'Avg',
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data: footprintData ? loadDataForFootprint('avg') : loadDataGeneric('avg'), // getValuesForStat(getAvg)
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data: footprintData ? loadDataForFootprint('avg') : loadDataGeneric('avg'), // Node Scope Only
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fill: true,
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fill: 2,
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backgroundColor: 'rgba(255, 153, 0, 0.25)',
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backgroundColor: 'rgba(255, 210, 0, 0.25)',
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borderColor: 'rgb(255, 153, 0)',
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borderColor: 'rgb(255, 210, 0)',
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pointBackgroundColor: 'rgb(255, 153, 0)',
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pointBackgroundColor: 'rgb(255, 210, 0)',
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pointBorderColor: '#fff',
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pointBorderColor: '#fff',
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pointHoverBackgroundColor: '#fff',
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pointHoverBackgroundColor: '#fff',
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pointHoverBorderColor: 'rgb(255, 153, 0)'
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pointHoverBorderColor: 'rgb(255, 210, 0)'
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},
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{
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label: 'Min',
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data: footprintData ? loadDataForFootprint('min') : loadDataGeneric('min'), // Node Scope Only
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fill: true,
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backgroundColor: 'rgba(255, 0, 0, 0.25)',
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borderColor: 'rgb(255, 0, 0)',
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pointBackgroundColor: 'rgb(255, 0, 0)',
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pointBorderColor: '#fff',
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pointHoverBackgroundColor: '#fff',
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pointHoverBorderColor: 'rgb(255, 0, 0)'
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}
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}
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]
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]
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}
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}
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