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https://github.com/ClusterCockpit/cc-backend
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Reformat footprintData mapping
This commit is contained in:
Christoph Kluge
parent
5acd9ece7f
commit
3468e987b6
@ -64,9 +64,6 @@
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console.log("MVs", meanVals)
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const footprintLabels = meanVals.map((mv) => [mv.name, 'Threshold']).flat()
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const footprintUnits = meanVals.map((mv) => [mv.unit, mv.unit]).flat()
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const footprintData = meanVals.map((mv) => {
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const metricConfig = footprintMetricConfigs.find((fmc) => fmc.name === mv.name)
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const levelPeak = metricConfig.peak - mv.avg
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@ -76,47 +73,100 @@
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if (mv.name !== 'mem_used') { // Alert if usage is low, peak is high good usage
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if (levelAlert > 0) {
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return {data: [mv.avg, levelAlert], color: ['hsl(0, 100%, 60%)', '#AAA'], valueMessage: 'Metric strongly below recommended level!', thresholdMessage: 'Difference towards caution threshold', impact: 2} // 'hsl(0, 100%, 35%)'
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return {
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data: [mv.avg, levelAlert],
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color: ['hsl(0, 100%, 60%)', '#AAA'],
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messages: ['Metric strongly below recommended level!', 'Difference towards caution threshold'],
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impact: 2
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} // 'hsl(0, 100%, 35%)'
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} else if (levelCaution > 0) {
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return {data: [mv.avg, levelCaution], color: ['hsl(56, 100%, 50%)', '#AAA'], valueMessage: 'Metric below recommended level!', thresholdMessage: 'Difference towards normal threshold', impact: 1} // '#d5b60a'
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return {
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data: [mv.avg, levelCaution],
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color: ['hsl(56, 100%, 50%)', '#AAA'],
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messages: ['Metric below recommended level!', 'Difference towards normal threshold'],
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impact: 1
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} // '#d5b60a'
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} else if (levelNormal > 0) {
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return {data: [mv.avg, levelNormal], color: ['hsl(100, 100%, 60%)', '#AAA'], valueMessage: 'Metric within recommended level!', thresholdMessage: 'Difference towards peak threshold', impact: 0} // 'hsl(100, 100%, 35%)'
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return {
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data: [mv.avg, levelNormal],
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color: ['hsl(100, 100%, 60%)', '#AAA'],
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messages: ['Metric within recommended level!', 'Difference towards peak threshold'],
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impact: 0
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} // 'hsl(100, 100%, 35%)'
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} else if (levelPeak > 0) {
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return {data: [mv.avg, levelPeak], color: ['hsl(180, 100%, 60%)', '#AAA'], valueMessage: 'Metric above recommended level!', thresholdMessage: 'Difference towards maximum', impact: 0} // 'hsl(180, 100%, 35%)'
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return {
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data: [mv.avg, levelPeak],
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color: ['hsl(180, 100%, 60%)', '#AAA'],
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messages: ['Metric above recommended level!', 'Difference towards maximum'],
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impact: 0
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} // 'hsl(180, 100%, 35%)'
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} else { // If avg greater than configured peak: render negative diff as zero
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return {data: [mv.avg, 0], color: ['hsl(180, 100%, 60%)', '#AAA'], valueMessage: 'Metric above recommended level!', thresholdMessage: 'Maximum reached!', impact: 0} // 'hsl(180, 100%, 35%)'
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return {
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data: [mv.avg, 0],
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color: ['hsl(180, 100%, 60%)', '#AAA'],
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messages: ['Metric above recommended level!', 'Maximum reached!'],
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impact: 0
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} // 'hsl(180, 100%, 35%)'
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}
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} else { // Inverse Logic: Alert if usage is high, Peak is bad and limits execution
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if (levelPeak <= 0 && levelAlert <= 0 && levelCaution <= 0 && levelNormal <= 0) { // If avg greater than configured peak: render negative diff as zero
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return {data: [mv.avg, 0], color: ['#7F00FF', '#AAA'], valueMessage: 'Memory usage at maximum!', thresholdMessage: 'Maximum reached!', impact: 4} // '#5D3FD3'
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return {
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data: [mv.avg, 0],
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color: ['#7F00FF', '#AAA'],
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messages: ['Memory usage at maximum!', 'Maximum reached!'],
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impact: 4
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} // '#5D3FD3'
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} else if (levelPeak > 0 && (levelAlert <= 0 && levelCaution <= 0 && levelNormal <= 0)) {
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return {data: [mv.avg, levelPeak], color: ['#7F00FF', '#AAA'], valueMessage: 'Memory usage extremely above recommended level!', thresholdMessage: 'Difference towards maximum', impact: 2} // '#5D3FD3'
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return {
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data: [mv.avg, levelPeak],
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color: ['#7F00FF', '#AAA'],
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messages: ['Memory usage extremely above recommended level!', 'Difference towards maximum'],
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impact: 2
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} // '#5D3FD3'
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} else if (levelAlert > 0 && (levelCaution <= 0 && levelNormal <= 0)) {
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return {data: [mv.avg, levelAlert], color: ['hsl(0, 100%, 60%)', '#AAA'], valueMessage: 'Memory usage strongly above recommended level!', thresholdMessage: 'Difference towards peak threshold', impact: 2} // 'hsl(0, 100%, 35%)'
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return {
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data: [mv.avg, levelAlert],
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color: ['hsl(0, 100%, 60%)', '#AAA'],
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messages: ['Memory usage strongly above recommended level!', 'Difference towards peak threshold'],
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impact: 2
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} // 'hsl(0, 100%, 35%)'
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} else if (levelCaution > 0 && levelNormal <= 0) {
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return {data: [mv.avg, levelCaution], color: ['hsl(56, 100%, 50%)', '#AAA'], valueMessage: 'Memory usage above recommended level!', thresholdMessage: 'Difference towards alert threshold', impact: 1} // '#d5b60a'
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return {
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data: [mv.avg, levelCaution],
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color: ['hsl(56, 100%, 50%)', '#AAA'],
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messages: ['Memory usage above recommended level!', 'Difference towards alert threshold'],
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impact: 1
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} // '#d5b60a'
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} else {
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return {data: [mv.avg, levelNormal], color: ['hsl(100, 100%, 60%)', '#AAA'], valueMessage: 'Memory usage within recommended level!', thresholdMessage: 'Difference towards caution threshold', impact: 0} // 'hsl(100, 100%, 35%)'
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return {
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data: [mv.avg, levelNormal],
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color: ['hsl(100, 100%, 60%)', '#AAA'],
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messages: ['Memory usage within recommended level!', 'Difference towards caution threshold'],
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impact: 0
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} // 'hsl(100, 100%, 35%)'
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}
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}
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})
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const footprintMessages = footprintData.map((fpd) => [fpd.valueMessage, fpd.thresholdMessage]).flat()
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console.log("FPD", footprintData)
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// Collect data for chartjs
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const footprintLabels = meanVals.map((mv) => [mv.name, 'Threshold']).flat()
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const footprintUnits = meanVals.map((mv) => [mv.unit, mv.unit]).flat()
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const footprintMessages = footprintData.map((fpd) => fpd.messages).flat()
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const footprintResultSum = footprintData.map((fpd) => fpd.impact).reduce((accumulator, currentValue) => { return accumulator + currentValue }, 0)
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let footprintResult = ''
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if (footprintResultSum <= 1) {
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footprintResult = 'good.'
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footprintResult = 'good'
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} else if (footprintResultSum > 1 && footprintResultSum <= 3) {
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footprintResult = 'well.'
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footprintResult = 'well'
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} else if (footprintResultSum > 3 && footprintResultSum <= 5) {
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footprintResult = 'acceptable.'
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footprintResult = 'acceptable'
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} else {
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footprintResult = 'bad.'
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footprintResult = 'bad'
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}
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console.log("FPD", footprintData)
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$: data = {
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labels: footprintLabels,
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datasets: [
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@ -217,7 +267,7 @@
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<Pie {data} {options}/>
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</div>
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<div class="mt-3 d-flex justify-content-center">
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<b>Overall Job Performance: </b> Your job {job.state === 'running' ? 'performs' : 'performed'} {footprintResult}
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<b>Overall Job Performance: </b> Your job {job.state === 'running' ? 'performs' : 'performed'} {footprintResult}.
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</div>
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