prometheus/web/ui/react-app/src/pages/graph/HistogramChart.tsx

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import React, { FC } from 'react';
import { UncontrolledTooltip } from 'reactstrap';
import { Histogram } from '../../types/types';
import { bucketRangeString } from './DataTable';
import {
calculateDefaultExpBucketWidth,
findMinPositive,
findMaxNegative,
findZeroAxisLeft,
showZeroAxis,
findZeroBucket,
ScaleType,
} from './HistogramHelpers';
interface HistogramChartProps {
histogram: Histogram;
index: number;
scale: ScaleType;
}
const HistogramChart: FC<HistogramChartProps> = ({ index, histogram, scale }) => {
const { buckets } = histogram;
if (!buckets || buckets.length === 0) {
return <div>No data</div>;
}
const formatter = Intl.NumberFormat('en', { notation: 'compact' });
// For linear scales, the count of a histogram bucket is represented by its area rather than its height. This means it considers
// both the count and the range (width) of the bucket. For this, we can set the height of the bucket proportional
// to its frequency density (fd). The fd is the count of the bucket divided by the width of the bucket.
const fds = [];
for (const bucket of buckets) {
const left = parseFloat(bucket[1]);
const right = parseFloat(bucket[2]);
const count = parseFloat(bucket[3]);
const width = right - left;
// This happens when a user want observations of precisely zero to be included in the zero bucket
if (width === 0) {
fds.push(0);
continue;
}
fds.push(count / width);
}
const fdMax = Math.max(...fds);
const first = buckets[0];
const last = buckets[buckets.length - 1];
const rangeMax = parseFloat(last[2]);
const rangeMin = parseFloat(first[1]);
const countMax = Math.max(...buckets.map((b) => parseFloat(b[3])));
const defaultExpBucketWidth = calculateDefaultExpBucketWidth(last, buckets);
const maxPositive = rangeMax > 0 ? rangeMax : 0;
const minPositive = findMinPositive(buckets);
const maxNegative = findMaxNegative(buckets);
const minNegative = parseFloat(first[1]) < 0 ? parseFloat(first[1]) : 0;
// Calculate the borders of positive and negative buckets in the exponential scale from left to right
const startNegative = minNegative !== 0 ? -Math.log(Math.abs(minNegative)) : 0;
const endNegative = maxNegative !== 0 ? -Math.log(Math.abs(maxNegative)) : 0;
const startPositive = minPositive !== 0 ? Math.log(minPositive) : 0;
const endPositive = maxPositive !== 0 ? Math.log(maxPositive) : 0;
// Calculate the width of negative, positive, and all exponential bucket ranges on the x-axis
const xWidthNegative = endNegative - startNegative;
const xWidthPositive = endPositive - startPositive;
const xWidthTotal = xWidthNegative + defaultExpBucketWidth + xWidthPositive;
const zeroBucketIdx = findZeroBucket(buckets);
const zeroAxisLeft = findZeroAxisLeft(
scale,
rangeMin,
rangeMax,
minPositive,
maxNegative,
zeroBucketIdx,
xWidthNegative,
xWidthTotal,
defaultExpBucketWidth
);
const zeroAxis = showZeroAxis(zeroAxisLeft);
return (
<div className="histogram-y-wrapper">
<div className="histogram-y-labels">
{[1, 0.75, 0.5, 0.25].map((i) => (
<div key={i} className="histogram-y-label">
{scale === 'linear' ? '' : formatter.format(countMax * i)}
</div>
))}
<div key={0} className="histogram-y-label" style={{ height: 0 }}>
0
</div>
</div>
<div className="histogram-x-wrapper">
<div className="histogram-container">
{[0, 0.25, 0.5, 0.75, 1].map((i) => (
<React.Fragment key={i}>
<div className="histogram-y-grid" style={{ bottom: i * 100 + '%' }}></div>
<div className="histogram-y-tick" style={{ bottom: i * 100 + '%' }}></div>
<div className="histogram-x-grid" style={{ left: i * 100 + '%' }}></div>
</React.Fragment>
))}
<div className="histogram-x-tick" style={{ left: '0%' }}></div>
<div className="histogram-x-tick" style={{ left: zeroAxisLeft }}></div>
<div className="histogram-x-grid" style={{ left: zeroAxisLeft }}></div>
<div className="histogram-x-tick" style={{ left: '100%' }}></div>
<RenderHistogramBars
buckets={buckets}
scale={scale}
rangeMin={rangeMin}
rangeMax={rangeMax}
index={index}
fds={fds}
fdMax={fdMax}
countMax={countMax}
defaultExpBucketWidth={defaultExpBucketWidth}
minPositive={minPositive}
maxNegative={maxNegative}
startPositive={startPositive}
startNegative={startNegative}
xWidthPositive={xWidthPositive}
xWidthNegative={xWidthNegative}
xWidthTotal={xWidthTotal}
/>
<div className="histogram-axes"></div>
</div>
<div className="histogram-x-labels">
<div className="histogram-x-label">
<React.Fragment>
<div style={{ position: 'absolute', left: 0 }}>{formatter.format(rangeMin)}</div>
{rangeMin < 0 && zeroAxis && <div style={{ position: 'absolute', left: zeroAxisLeft }}>0</div>}
<div style={{ position: 'absolute', right: 0 }}>{formatter.format(rangeMax)}</div>
</React.Fragment>
</div>
</div>
</div>
</div>
);
};
interface RenderHistogramProps {
buckets: [number, string, string, string][];
scale: ScaleType;
rangeMin: number;
rangeMax: number;
index: number;
fds: number[];
fdMax: number;
countMax: number;
defaultExpBucketWidth: number;
minPositive: number;
maxNegative: number;
startPositive: number;
startNegative: number;
xWidthNegative: number;
xWidthPositive: number;
xWidthTotal: number;
}
const RenderHistogramBars: FC<RenderHistogramProps> = ({
buckets,
scale,
rangeMin,
rangeMax,
index,
fds,
fdMax,
countMax,
defaultExpBucketWidth,
minPositive,
maxNegative,
startPositive,
startNegative,
xWidthNegative,
xWidthPositive,
xWidthTotal,
}) => {
return (
<React.Fragment>
{buckets.map((b, bIdx) => {
const left = parseFloat(b[1]);
const right = parseFloat(b[2]);
const count = parseFloat(b[3]);
const bucketIdx = `bucket-${index}-${bIdx}-${Math.ceil(parseFloat(b[3]) * 100)}`;
const logWidth = Math.abs(Math.log(Math.abs(right)) - Math.log(Math.abs(left)));
const expBucketWidth = logWidth === 0 ? defaultExpBucketWidth : logWidth;
let bucketWidth = '';
let bucketLeft = '';
let bucketHeight = '';
switch (scale) {
case 'linear':
bucketWidth = ((right - left) / (rangeMax - rangeMin)) * 100 + '%';
bucketLeft = ((left - rangeMin) / (rangeMax - rangeMin)) * 100 + '%';
if (left === 0 && right === 0) {
bucketLeft = '0%'; // do not render zero-width zero bucket
bucketWidth = '0%';
}
bucketHeight = (fds[bIdx] / fdMax) * 100 + '%';
break;
case 'exponential':
let adjust = 0; // if buckets are all positive/negative, we need to remove the width of the zero bucket
if (minPositive === 0 || maxNegative === 0) {
adjust = defaultExpBucketWidth;
}
bucketWidth = (expBucketWidth / (xWidthTotal - adjust)) * 100 + '%';
if (left < 0) {
// negative buckets boundary
bucketLeft = (-(Math.log(Math.abs(left)) + startNegative) / (xWidthTotal - adjust)) * 100 + '%';
} else {
// positive buckets boundary
bucketLeft =
((Math.log(left) - startPositive + defaultExpBucketWidth + xWidthNegative - adjust) /
(xWidthTotal - adjust)) *
100 +
'%';
}
if (left < 0 && right > 0) {
// if the bucket crosses the zero axis
bucketLeft = (xWidthNegative / xWidthTotal) * 100 + '%';
}
if (left === 0 && right === 0) {
// do not render zero width zero bucket
bucketLeft = '0%';
bucketWidth = '0%';
}
bucketHeight = (count / countMax) * 100 + '%';
break;
default:
throw new Error('Invalid scale');
}
return (
<React.Fragment key={bIdx}>
<div
id={bucketIdx}
className="histogram-bucket-slot"
style={{
left: bucketLeft,
width: bucketWidth,
}}
>
<div
id={bucketIdx}
className="histogram-bucket"
style={{
height: bucketHeight,
}}
></div>
<UncontrolledTooltip
style={{ maxWidth: 'unset', padding: 10, textAlign: 'left' }}
placement="bottom"
target={bucketIdx}
>
<strong>range:</strong> {bucketRangeString(b)}
<br />
<strong>count:</strong> {count}
</UncontrolledTooltip>
</div>
</React.Fragment>
);
})}
</React.Fragment>
);
};
export default HistogramChart;