mirror of
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feat (ui): Add Native Histogram rendering to new UI (#14431)
* feat: scaffold new ui native histogram Signed-off-by: Manik Rana <manikrana54@gmail.com> * feat: add native histogram rendering Signed-off-by: Manik Rana <manikrana54@gmail.com> * feat: add tooltip Signed-off-by: Manik Rana <manikrana54@gmail.com> * fix:revert package-lock changes Signed-off-by: Manik Rana <manikrana54@gmail.com> * chore: fix tab spacing Signed-off-by: Manik Rana <manikrana54@gmail.com> * fix: apply suggestions and fixes Signed-off-by: Manik Rana <manikrana54@gmail.com> * chore: lint Signed-off-by: Manik Rana <manikrana54@gmail.com> --------- Signed-off-by: Manik Rana <manikrana54@gmail.com>
This commit is contained in:
Manik Rana
GitHub
parent
0eea8645fa
commit
373f09796d
6
package-lock.json
generated
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6
package-lock.json
generated
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@ -0,0 +1,6 @@
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{
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"name": "prometheus",
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"lockfileVersion": 3,
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"requires": true,
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"packages": {}
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}
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@ -8,3 +8,16 @@
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text-align: right;
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font-variant-numeric: tabular-nums;
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}
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.histogramSummaryWrapper {
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display: flex;
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justify-content: space-between;
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align-items: center;
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padding: 10px;
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}
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.histogramSummary {
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display: flex;
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align-items: center;
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gap: 1rem;
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}
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@ -1,5 +1,13 @@
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import { FC, useEffect, useId } from "react";
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import { Table, Alert, Skeleton, Box, LoadingOverlay } from "@mantine/core";
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import { FC, ReactNode, useEffect, useId, useState } from "react";
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import {
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Table,
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Alert,
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Skeleton,
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Box,
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LoadingOverlay,
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SegmentedControl,
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ScrollArea,
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} from "@mantine/core";
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import { IconAlertTriangle, IconInfoCircle } from "@tabler/icons-react";
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import {
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InstantQueryResult,
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@ -13,6 +21,9 @@ import dayjs from "dayjs";
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import timezone from "dayjs/plugin/timezone";
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import { useAppSelector } from "../../state/hooks";
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import { formatTimestamp } from "../../lib/formatTime";
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import HistogramChart from "./HistogramChart";
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import { Histogram } from "../../types/types";
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import { bucketRangeString } from "./HistogramHelpers";
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dayjs.extend(timezone);
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const maxFormattableSeries = 1000;
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@ -34,6 +45,8 @@ export interface DataTableProps {
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}
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const DataTable: FC<DataTableProps> = ({ expr, evalTime, retriggerIdx }) => {
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const [scale, setScale] = useState<string>("exponential");
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const { data, error, isFetching, isLoading, refetch } =
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useAPIQuery<InstantQueryResult>({
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key: useId(),
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@ -101,7 +114,7 @@ const DataTable: FC<DataTableProps> = ({ expr, evalTime, retriggerIdx }) => {
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}}
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styles={{ loader: { width: "100%", height: "100%" } }}
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/>
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<Table highlightOnHover fz="xs">
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<Table fz="xs">
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<Table.Tbody>
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{resultType === "vector" ? (
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limitSeries<InstantSample>(result).map((s, idx) => (
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@ -111,7 +124,35 @@ const DataTable: FC<DataTableProps> = ({ expr, evalTime, retriggerIdx }) => {
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</Table.Td>
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<Table.Td className={classes.numberCell}>
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{s.value && s.value[1]}
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{s.histogram && "TODO HISTOGRAM DISPLAY"}
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{s.histogram && (
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<>
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<HistogramChart
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histogram={s.histogram[1]}
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index={idx}
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scale={scale}
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/>
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<div className={classes.histogramSummaryWrapper}>
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<div className={classes.histogramSummary}>
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<span>
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<strong>Total count:</strong> {s.histogram[1].count}
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</span>
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<span>
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<strong>Sum:</strong> {s.histogram[1].sum}
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</span>
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</div>
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<div className={classes.histogramSummary}>
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<span>x-axis scale:</span>
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<SegmentedControl
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size={"xs"}
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value={scale}
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onChange={setScale}
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data={["exponential", "linear"]}
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/>
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</div>
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</div>
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{histogramTable(s.histogram[1])}
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</>
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)}
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</Table.Td>
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</Table.Tr>
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))
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@ -161,4 +202,44 @@ const DataTable: FC<DataTableProps> = ({ expr, evalTime, retriggerIdx }) => {
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);
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};
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const histogramTable = (h: Histogram): ReactNode => (
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<Table>
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<Table.Thead>
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<Table.Tr>
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<Table.Th style={{ textAlign: "center" }} colSpan={2}>
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Bucket counts
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</Table.Th>
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</Table.Tr>
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</Table.Thead>
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<Table.Tbody
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style={{
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display: "flex",
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flexDirection: "column",
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justifyContent: "space-between",
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}}
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>
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<Table.Tr
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style={{
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display: "flex",
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flexDirection: "row",
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justifyContent: "space-between",
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}}
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>
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<Table.Th>Range</Table.Th>
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<Table.Th>Count</Table.Th>
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</Table.Tr>
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<ScrollArea w={"100%"} h={250}>
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{h.buckets?.map((b, i) => (
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<Table.Tr key={i}>
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<Table.Td style={{ textAlign: "left" }}>
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{bucketRangeString(b)}
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</Table.Td>
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<Table.Td>{b[3]}</Table.Td>
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</Table.Tr>
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))}
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</ScrollArea>
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</Table.Tbody>
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</Table>
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);
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export default DataTable;
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106
web/ui/mantine-ui/src/pages/query/HistogramChart.module.css
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106
web/ui/mantine-ui/src/pages/query/HistogramChart.module.css
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.histogramYWrapper {
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display: flex;
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flex-wrap: nowrap;
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align-items: flex-start;
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box-sizing: border-box;
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margin: 15px 0;
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width: 100%;
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}
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.histogramYLabels {
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height: 200px;
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display: flex;
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flex-direction: column;
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}
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.histogramYLabel {
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margin-right: 8px;
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height: 25%;
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text-align: right;
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}
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.histogramXWrapper {
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flex: 1 1 auto;
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display: flex;
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flex-direction: column;
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margin-right: 8px;
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}
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.histogramXLabels {
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display: flex;
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}
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.histogramXLabel {
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position: relative;
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margin-top: 5px;
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width: 100%;
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text-align: right;
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}
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.histogramContainer {
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margin-top: 9px;
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position: relative;
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height: 200px;
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}
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.histogramAxes {
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position: absolute;
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width: 100%;
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height: 100%;
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border-bottom: 1px solid var(--mantine-color-gray-7);
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border-left: 1px solid var(--mantine-color-gray-7);
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pointer-events: none;
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}
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.histogramYGrid {
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position: absolute;
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border-bottom: 1px dashed var(--mantine-color-gray-6);
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width: 100%;
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}
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.histogramYTick {
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position: absolute;
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border-bottom: 1px solid var(--mantine-color-gray-7);
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left: -5px;
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height: 0px;
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width: 5px;
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}
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.histogramXGrid {
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position: absolute;
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border-left: 1px dashed var(--mantine-color-gray-6);
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height: 100%;
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width: 0;
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}
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.histogramXTick {
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position: absolute;
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border-left: 1px solid var(--mantine-color-gray-7);
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height: 5px;
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width: 0;
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bottom: -5px;
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}
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.histogramBucketSlot {
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position: absolute;
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bottom: 0;
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top: 0;
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}
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.histogramBucket {
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position: absolute;
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width: 100%;
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bottom: 0;
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background-color: #2db453;
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border: 1px solid #77de94;
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pointer-events: none;
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}
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.histogramBucketSlot:hover {
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background-color: var(--mantine-color-gray-4);
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}
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.histogramBucketSlot:hover .histogramBucket {
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background-color: #88e1a1;
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border: 1px solid #77de94;
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}
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309
web/ui/mantine-ui/src/pages/query/HistogramChart.tsx
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309
web/ui/mantine-ui/src/pages/query/HistogramChart.tsx
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import React, { FC } from "react";
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import { Histogram } from "../../types/types";
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import {
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calculateDefaultExpBucketWidth,
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findMinPositive,
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findMaxNegative,
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findZeroAxisLeft,
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showZeroAxis,
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findZeroBucket,
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bucketRangeString,
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} from "./HistogramHelpers";
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import classes from "./HistogramChart.module.css";
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import { Tooltip } from "@mantine/core";
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interface HistogramChartProps {
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histogram: Histogram;
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index: number;
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scale: string;
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}
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const HistogramChart: FC<HistogramChartProps> = ({
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index,
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histogram,
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scale,
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}) => {
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const { buckets } = histogram;
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if (!buckets || buckets.length === 0) {
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return <div>No data</div>;
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}
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const formatter = Intl.NumberFormat("en", { notation: "compact" });
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// For linear scales, the count of a histogram bucket is represented by its area rather than its height. This means it considers
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// both the count and the range (width) of the bucket. For this, we can set the height of the bucket proportional
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// to its frequency density (fd). The fd is the count of the bucket divided by the width of the bucket.
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const fds = [];
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for (const bucket of buckets) {
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const left = parseFloat(bucket[1]);
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const right = parseFloat(bucket[2]);
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const count = parseFloat(bucket[3]);
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const width = right - left;
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// This happens when a user want observations of precisely zero to be included in the zero bucket
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if (width === 0) {
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fds.push(0);
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continue;
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}
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fds.push(count / width);
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}
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const fdMax = Math.max(...fds);
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const first = buckets[0];
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const last = buckets[buckets.length - 1];
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const rangeMax = parseFloat(last[2]);
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const rangeMin = parseFloat(first[1]);
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const countMax = Math.max(...buckets.map((b) => parseFloat(b[3])));
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const defaultExpBucketWidth = calculateDefaultExpBucketWidth(last, buckets);
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const maxPositive = rangeMax > 0 ? rangeMax : 0;
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const minPositive = findMinPositive(buckets);
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const maxNegative = findMaxNegative(buckets);
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const minNegative = parseFloat(first[1]) < 0 ? parseFloat(first[1]) : 0;
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// Calculate the borders of positive and negative buckets in the exponential scale from left to right
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const startNegative =
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minNegative !== 0 ? -Math.log(Math.abs(minNegative)) : 0;
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const endNegative = maxNegative !== 0 ? -Math.log(Math.abs(maxNegative)) : 0;
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const startPositive = minPositive !== 0 ? Math.log(minPositive) : 0;
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const endPositive = maxPositive !== 0 ? Math.log(maxPositive) : 0;
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// Calculate the width of negative, positive, and all exponential bucket ranges on the x-axis
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const xWidthNegative = endNegative - startNegative;
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const xWidthPositive = endPositive - startPositive;
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const xWidthTotal = xWidthNegative + defaultExpBucketWidth + xWidthPositive;
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const zeroBucketIdx = findZeroBucket(buckets);
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const zeroAxisLeft = findZeroAxisLeft(
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scale,
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rangeMin,
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rangeMax,
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minPositive,
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maxNegative,
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zeroBucketIdx,
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xWidthNegative,
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xWidthTotal,
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defaultExpBucketWidth,
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);
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const zeroAxis = showZeroAxis(zeroAxisLeft);
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return (
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<div className={classes.histogramYWrapper}>
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<div className={classes.histogramYLabels}>
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{[1, 0.75, 0.5, 0.25].map((i) => (
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<div key={i} className={classes.histogramYLabel}>
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{scale === "linear" ? "" : formatter.format(countMax * i)}
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</div>
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))}
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<div key={0} className={classes.histogramYLabel} style={{ height: 0 }}>
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0
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</div>
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</div>
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<div className={classes.histogramXWrapper}>
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<div className={classes.histogramContainer}>
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{[0, 0.25, 0.5, 0.75, 1].map((i) => (
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<React.Fragment key={i}>
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<div
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className={classes.histogramYGrid}
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style={{ bottom: i * 100 + "%" }}
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></div>
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<div
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className={classes.histogramYTick}
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style={{ bottom: i * 100 + "%" }}
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></div>
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<div
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className={classes.histogramXGrid}
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style={{ left: i * 100 + "%" }}
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></div>
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</React.Fragment>
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))}
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<div className={classes.histogramXTick} style={{ left: "0%" }}></div>
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<div
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className={classes.histogramXTick}
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style={{ left: zeroAxisLeft }}
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></div>
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<div
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className={classes.histogramXGrid}
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style={{ left: zeroAxisLeft }}
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></div>
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<div
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className={classes.histogramXTick}
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style={{ left: "100%" }}
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></div>
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<RenderHistogramBars
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buckets={buckets}
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scale={scale}
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rangeMin={rangeMin}
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rangeMax={rangeMax}
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index={index}
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fds={fds}
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fdMax={fdMax}
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countMax={countMax}
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defaultExpBucketWidth={defaultExpBucketWidth}
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minPositive={minPositive}
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maxNegative={maxNegative}
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startPositive={startPositive}
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startNegative={startNegative}
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xWidthNegative={xWidthNegative}
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xWidthTotal={xWidthTotal}
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/>
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<div className={classes.histogramAxes}></div>
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</div>
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<div className={classes.histogramXLabels}>
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<div className={classes.histogramXLabel}>
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<React.Fragment>
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<div style={{ position: "absolute", left: 0 }}>
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{formatter.format(rangeMin)}
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</div>
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{rangeMin < 0 && zeroAxis && (
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<div style={{ position: "absolute", left: zeroAxisLeft }}>
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0
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</div>
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)}
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<div style={{ position: "absolute", right: 0 }}>
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{formatter.format(rangeMax)}
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</div>
|
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</React.Fragment>
|
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</div>
|
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</div>
|
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</div>
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</div>
|
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);
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};
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|
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interface RenderHistogramProps {
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buckets: [number, string, string, string][];
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scale: string;
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rangeMin: number;
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rangeMax: number;
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index: number;
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fds: number[];
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fdMax: number;
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countMax: number;
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defaultExpBucketWidth: number;
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minPositive: number;
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maxNegative: number;
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startPositive: number;
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startNegative: number;
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xWidthNegative: number;
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xWidthTotal: number;
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}
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const RenderHistogramBars: FC<RenderHistogramProps> = ({
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buckets,
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scale,
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rangeMin,
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rangeMax,
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index,
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fds,
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fdMax,
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countMax,
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defaultExpBucketWidth,
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minPositive,
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maxNegative,
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startPositive,
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startNegative,
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xWidthNegative,
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xWidthTotal,
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}) => {
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return (
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<React.Fragment>
|
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{buckets.map((b, bIdx) => {
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const left = parseFloat(b[1]);
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const right = parseFloat(b[2]);
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const count = parseFloat(b[3]);
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const bucketIdx = `bucket-${index}-${bIdx}-${Math.ceil(parseFloat(b[3]) * 100)}`;
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const logWidth = Math.abs(
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Math.log(Math.abs(right)) - Math.log(Math.abs(left)),
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);
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const expBucketWidth =
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logWidth === 0 ? defaultExpBucketWidth : logWidth;
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let bucketWidth = "";
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let bucketLeft = "";
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let bucketHeight = "";
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switch (scale) {
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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 (
|
||||
<Tooltip label={`range: ${bucketRangeString(b)}`} key={bIdx}>
|
||||
<div
|
||||
id={bucketIdx}
|
||||
className={classes.histogramBucketSlot}
|
||||
style={{
|
||||
left: bucketLeft,
|
||||
width: bucketWidth,
|
||||
}}
|
||||
>
|
||||
<div
|
||||
id={bucketIdx}
|
||||
className={classes.histogramBucket}
|
||||
style={{
|
||||
height: bucketHeight,
|
||||
}}
|
||||
></div>
|
||||
</div>
|
||||
</Tooltip>
|
||||
);
|
||||
})}
|
||||
</React.Fragment>
|
||||
);
|
||||
};
|
||||
|
||||
export default HistogramChart;
|
||||
144
web/ui/mantine-ui/src/pages/query/HistogramHelpers.ts
Normal file
144
web/ui/mantine-ui/src/pages/query/HistogramHelpers.ts
Normal file
|
|
@ -0,0 +1,144 @@
|
|||
// Calculates a default width of exponential histogram bucket ranges. If the last bucket is [0, 0],
|
||||
// the width is calculated using the second to last bucket. returns error if the last bucket is [-0, 0],
|
||||
export function calculateDefaultExpBucketWidth(
|
||||
last: [number, string, string, string],
|
||||
buckets: [number, string, string, string][]
|
||||
): number {
|
||||
if (parseFloat(last[2]) === 0 || parseFloat(last[1]) === 0) {
|
||||
if (buckets.length > 1) {
|
||||
return Math.abs(
|
||||
Math.log(Math.abs(parseFloat(buckets[buckets.length - 2][2]))) -
|
||||
Math.log(Math.abs(parseFloat(buckets[buckets.length - 2][1])))
|
||||
);
|
||||
} else {
|
||||
throw new Error(
|
||||
"Only one bucket in histogram ([-0, 0]). Cannot calculate defaultExpBucketWidth."
|
||||
);
|
||||
}
|
||||
} else {
|
||||
return Math.abs(
|
||||
Math.log(Math.abs(parseFloat(last[2]))) -
|
||||
Math.log(Math.abs(parseFloat(last[1])))
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
// Finds the lowest positive value from the bucket ranges
|
||||
// Returns 0 if no positive values are found or if there are no buckets.
|
||||
export function findMinPositive(buckets: [number, string, string, string][]) {
|
||||
if (!buckets || buckets.length === 0) {
|
||||
return 0; // no buckets
|
||||
}
|
||||
for (let i = 0; i < buckets.length; i++) {
|
||||
const right = parseFloat(buckets[i][2]);
|
||||
const left = parseFloat(buckets[i][1]);
|
||||
|
||||
if (left > 0) {
|
||||
return left;
|
||||
}
|
||||
if (left < 0 && right > 0) {
|
||||
return right;
|
||||
}
|
||||
if (i === buckets.length - 1) {
|
||||
if (right > 0) {
|
||||
return right;
|
||||
}
|
||||
}
|
||||
}
|
||||
return 0; // all buckets are negative
|
||||
}
|
||||
|
||||
// Finds the lowest negative value from the bucket ranges
|
||||
// Returns 0 if no negative values are found or if there are no buckets.
|
||||
export function findMaxNegative(buckets: [number, string, string, string][]) {
|
||||
if (!buckets || buckets.length === 0) {
|
||||
return 0; // no buckets
|
||||
}
|
||||
for (let i = 0; i < buckets.length; i++) {
|
||||
const right = parseFloat(buckets[i][2]);
|
||||
const left = parseFloat(buckets[i][1]);
|
||||
const prevRight = i > 0 ? parseFloat(buckets[i - 1][2]) : 0;
|
||||
|
||||
if (right >= 0) {
|
||||
if (i === 0) {
|
||||
if (left < 0) {
|
||||
return left; // return the first negative bucket
|
||||
}
|
||||
return 0; // all buckets are positive
|
||||
}
|
||||
return prevRight; // return the last negative bucket
|
||||
}
|
||||
}
|
||||
console.log("findmaxneg returning: ", buckets[buckets.length - 1][2]);
|
||||
return parseFloat(buckets[buckets.length - 1][2]); // all buckets are negative
|
||||
}
|
||||
|
||||
// Calculates the left position of the zero axis as a percentage string.
|
||||
export function findZeroAxisLeft(
|
||||
scale: string,
|
||||
rangeMin: number,
|
||||
rangeMax: number,
|
||||
minPositive: number,
|
||||
maxNegative: number,
|
||||
zeroBucketIdx: number,
|
||||
widthNegative: number,
|
||||
widthTotal: number,
|
||||
expBucketWidth: number
|
||||
): string {
|
||||
if (scale === "linear") {
|
||||
return ((0 - rangeMin) / (rangeMax - rangeMin)) * 100 + "%";
|
||||
} else {
|
||||
if (maxNegative === 0) {
|
||||
return "0%";
|
||||
}
|
||||
if (minPositive === 0) {
|
||||
return "100%";
|
||||
}
|
||||
if (zeroBucketIdx === -1) {
|
||||
// if there is no zero bucket, we must zero axis between buckets around zero
|
||||
return (widthNegative / widthTotal) * 100 + "%";
|
||||
}
|
||||
if ((widthNegative + 0.5 * expBucketWidth) / widthTotal > 0) {
|
||||
return ((widthNegative + 0.5 * expBucketWidth) / widthTotal) * 100 + "%";
|
||||
} else {
|
||||
return "0%";
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Determines if the zero axis should be shown such that the zero label does not overlap with the range labels.
|
||||
// The zero axis is shown if it is between 5% and 95% of the graph.
|
||||
export function showZeroAxis(zeroAxisLeft: string) {
|
||||
const axisNumber = parseFloat(zeroAxisLeft.slice(0, -1));
|
||||
if (5 < axisNumber && axisNumber < 95) {
|
||||
return true;
|
||||
}
|
||||
return false;
|
||||
}
|
||||
|
||||
// Finds the index of the bucket whose range includes zero
|
||||
export function findZeroBucket(
|
||||
buckets: [number, string, string, string][]
|
||||
): number {
|
||||
for (let i = 0; i < buckets.length; i++) {
|
||||
const left = parseFloat(buckets[i][1]);
|
||||
const right = parseFloat(buckets[i][2]);
|
||||
if (left <= 0 && right >= 0) {
|
||||
return i;
|
||||
}
|
||||
}
|
||||
return -1;
|
||||
}
|
||||
|
||||
const leftDelim = (br: number): string => (br === 3 || br === 1 ? "[" : "(");
|
||||
const rightDelim = (br: number): string => (br === 3 || br === 0 ? "]" : ")");
|
||||
|
||||
export const bucketRangeString = ([
|
||||
boundaryRule,
|
||||
leftBoundary,
|
||||
rightBoundary,
|
||||
// eslint-disable-next-line @typescript-eslint/no-unused-vars
|
||||
_,
|
||||
]: [number, string, string, string]): string => {
|
||||
return `${leftDelim(boundaryRule)}${leftBoundary} -> ${rightBoundary}${rightDelim(boundaryRule)}`;
|
||||
};
|
||||
5
web/ui/mantine-ui/src/types/types.ts
Normal file
5
web/ui/mantine-ui/src/types/types.ts
Normal file
|
|
@ -0,0 +1,5 @@
|
|||
export interface Histogram {
|
||||
count: string;
|
||||
sum: string;
|
||||
buckets?: [number, string, string, string][];
|
||||
}
|
||||
Loading…
Reference in a new issue