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https://github.com/ClusterCockpit/cc-backend
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Adds messages to footprint
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@ -76,31 +76,45 @@
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if (mv.name !== 'mem_used') { // Alert if usage is low, peak is high good usage
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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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if (levelAlert > 0) {
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return {data: [mv.avg, levelAlert], color: ['hsl(0, 100%, 60%)', '#AAA']} // 'hsl(0, 100%, 35%)'
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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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} else if (levelCaution > 0) {
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} else if (levelCaution > 0) {
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return {data: [mv.avg, levelCaution], color: ['hsl(56, 100%, 50%)', '#AAA']} // '#d5b60a'
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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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} else if (levelNormal > 0) {
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} else if (levelNormal > 0) {
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return {data: [mv.avg, levelNormal], color: ['hsl(100, 100%, 60%)', '#AAA']} // 'hsl(100, 100%, 35%)'
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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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} else if (levelPeak > 0) {
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} else if (levelPeak > 0) {
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return {data: [mv.avg, levelPeak], color: ['hsl(180, 100%, 60%)', '#AAA']} // 'hsl(180, 100%, 35%)'
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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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} else { // If avg greater than configured peak: render negative diff as zero
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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']} // 'hsl(180, 100%, 35%)'
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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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}
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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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} 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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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']} // '#5D3FD3'
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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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} else if (levelPeak > 0 && (levelAlert <= 0 && levelCaution <= 0 && levelNormal <= 0)) {
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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']} // '#5D3FD3'
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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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} else if (levelAlert > 0 && (levelCaution <= 0 && levelNormal <= 0)) {
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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']} // 'hsl(0, 100%, 35%)'
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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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} else if (levelCaution > 0 && levelNormal <= 0) {
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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']} // '#d5b60a'
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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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} else {
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} else {
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return {data: [mv.avg, levelNormal], color: ['hsl(100, 100%, 60%)', '#AAA']} // 'hsl(100, 100%, 35%)'
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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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}
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}
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}
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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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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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} else if (footprintResultSum > 1 && footprintResultSum <= 3) {
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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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} else {
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footprintResult = 'bad.'
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}
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console.log("FPD", footprintData)
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console.log("FPD", footprintData)
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$: data = {
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$: data = {
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@ -183,6 +197,14 @@
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} else {
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} else {
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return 'Average ' + context[0].chart.data.labels[labelIndex]
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return 'Average ' + context[0].chart.data.labels[labelIndex]
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}
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}
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},
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footer: function(context) {
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const labelIndex = (context[0].datasetIndex * 2) + context[0].dataIndex;
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if (context[0].chart.data.labels[labelIndex] === 'Threshold') {
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return footprintMessages[labelIndex]
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} else {
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return footprintMessages[labelIndex]
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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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}
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@ -194,6 +216,10 @@
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<div class="chart-container" style="--container-width: {size}; --container-height: {size}">
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<div class="chart-container" style="--container-width: {size}; --container-height: {size}">
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<Pie {data} {options}/>
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<Pie {data} {options}/>
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</div>
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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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</div>
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<style>
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<style>
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.chart-container {
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.chart-container {
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