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Adds messages to footprint

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This commit is contained in:
Christoph Kluge 2023-11-16 18:31:45 +01:00
parent 8bc43baf2c
commit 5acd9ece7f
1 changed files with 36 additions and 10 deletions
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46
web/frontend/src/JobFootprint.svelte
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@ -76,31 +76,45 @@
if (mv.name !== 'mem_used') { // Alert if usage is low, peak is high good usage
if (levelAlert > 0) {
return {data: [mv.avg, levelAlert], color: ['hsl(0, 100%, 60%)', '#AAA']} // 'hsl(0, 100%, 35%)'
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%)'
} else if (levelCaution > 0) {
return {data: [mv.avg, levelCaution], color: ['hsl(56, 100%, 50%)', '#AAA']} // '#d5b60a'
return {data: [mv.avg, levelCaution], color: ['hsl(56, 100%, 50%)', '#AAA'], valueMessage: 'Metric below recommended level!', thresholdMessage: 'Difference towards normal threshold', impact: 1} // '#d5b60a'
} else if (levelNormal > 0) {
return {data: [mv.avg, levelNormal], color: ['hsl(100, 100%, 60%)', '#AAA']} // 'hsl(100, 100%, 35%)'
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%)'
} else if (levelPeak > 0) {
return {data: [mv.avg, levelPeak], color: ['hsl(180, 100%, 60%)', '#AAA']} // 'hsl(180, 100%, 35%)'
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%)'
} else { // If avg greater than configured peak: render negative diff as zero
return {data: [mv.avg, 0], color: ['hsl(180, 100%, 60%)', '#AAA']} // 'hsl(180, 100%, 35%)'
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%)'
}
} else { // Inverse Logic: Alert if usage is high, Peak is bad and limits execution
if (levelPeak <= 0 && levelAlert <= 0 && levelCaution <= 0 && levelNormal <= 0) { // If avg greater than configured peak: render negative diff as zero
return {data: [mv.avg, 0], color: ['#7F00FF', '#AAA']} // '#5D3FD3'
return {data: [mv.avg, 0], color: ['#7F00FF', '#AAA'], valueMessage: 'Memory usage at maximum!', thresholdMessage: 'Maximum reached!', impact: 4} // '#5D3FD3'
} else if (levelPeak > 0 && (levelAlert <= 0 && levelCaution <= 0 && levelNormal <= 0)) {
return {data: [mv.avg, levelPeak], color: ['#7F00FF', '#AAA']} // '#5D3FD3'
return {data: [mv.avg, levelPeak], color: ['#7F00FF', '#AAA'], valueMessage: 'Memory usage extremely above recommended level!', thresholdMessage: 'Difference towards maximum', impact: 2} // '#5D3FD3'
} else if (levelAlert > 0 && (levelCaution <= 0 && levelNormal <= 0)) {
return {data: [mv.avg, levelAlert], color: ['hsl(0, 100%, 60%)', '#AAA']} // 'hsl(0, 100%, 35%)'
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%)'
} else if (levelCaution > 0 && levelNormal <= 0) {
return {data: [mv.avg, levelCaution], color: ['hsl(56, 100%, 50%)', '#AAA']} // '#d5b60a'
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'
} else {
return {data: [mv.avg, levelNormal], color: ['hsl(100, 100%, 60%)', '#AAA']} // 'hsl(100, 100%, 35%)'
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%)'
}
}
})
const footprintMessages = footprintData.map((fpd) => [fpd.valueMessage, fpd.thresholdMessage]).flat()
const footprintResultSum = footprintData.map((fpd) => fpd.impact).reduce((accumulator, currentValue) => { return accumulator + currentValue }, 0)
let footprintResult = ''
if (footprintResultSum <= 1) {
footprintResult = 'good.'
} else if (footprintResultSum > 1 && footprintResultSum <= 3) {
footprintResult = 'well.'
} else if (footprintResultSum > 3 && footprintResultSum <= 5) {
footprintResult = 'acceptable.'
} else {
footprintResult = 'bad.'
}
console.log("FPD", footprintData)
$: data = {
@ -183,6 +197,14 @@
} else {
return 'Average ' + context[0].chart.data.labels[labelIndex]
}
},
footer: function(context) {
const labelIndex = (context[0].datasetIndex * 2) + context[0].dataIndex;
if (context[0].chart.data.labels[labelIndex] === 'Threshold') {
return footprintMessages[labelIndex]
} else {
return footprintMessages[labelIndex]
}
}
}
}
@ -194,6 +216,10 @@
<div class="chart-container" style="--container-width: {size}; --container-height: {size}">
<Pie {data} {options}/>
</div>
<div class="mt-3 d-flex justify-content-center">
<b>Overall Job Performance:&nbsp;</b> Your job {job.state === 'running' ? 'performs' : 'performed'} {footprintResult}
</div>
<style>
.chart-container {