Fixed sync between record value context selector and record store (#5517)

This PR introduces many improvements over the new profiling story
feature, with new tests and some refactor with main :
- Added use-context-selector for getting value faster in display fields
and created useRecordFieldValue() hook and RecordValueSetterEffect to
synchronize states
- Added performance test command in CI
- Refactored ExpandableList drill-downs with FieldFocusContext
- Refactored field button icon logic into getFieldButtonIcon util
- Added RelationFieldDisplay perf story
- Added RecordTableCell perf story
- First split test of useField.. hook with useRelationFieldDisplay()
- Fixed problem with set cell soft focus
- Isolated logic between display / soft focus and edit mode in the
related components to optimize performances for display mode.
- Added warmupRound config for performance story decorator
- Added variance in test reporting
This commit is contained in:
Lucas Bordeau
2024-05-24 16:52:05 +02:00
committed by GitHub
parent 82ec30c957
commit de9321dcd9
47 changed files with 2043 additions and 554 deletions

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@ -2,7 +2,7 @@ import { useEffect } from 'react';
import { useRecoilState } from 'recoil';
import { TIME_BETWEEN_TEST_RUNS_IN_MS } from '~/testing/profiling/constants/TimeBetweenTestRunsInMs';
import { currentProfilingRunIndexState } from '~/testing/profiling/states/currentProfilingRunState';
import { currentProfilingRunIndexState } from '~/testing/profiling/states/currentProfilingRunIndexState';
import { profilingQueueState } from '~/testing/profiling/states/profilingQueueState';
import { profilingSessionRunsState } from '~/testing/profiling/states/profilingSessionRunsState';
import { profilingSessionStatusState } from '~/testing/profiling/states/profilingSessionStatusState';
@ -12,10 +12,12 @@ export const ProfilingQueueEffect = ({
profilingId,
numberOfTestsPerRun,
numberOfRuns,
warmUpRounds,
}: {
profilingId: string;
numberOfTestsPerRun: number;
numberOfRuns: number;
warmUpRounds: number;
}) => {
const [currentProfilingRunIndex, setCurrentProfilingRunIndex] =
useRecoilState(currentProfilingRunIndexState);
@ -38,9 +40,9 @@ export const ProfilingQueueEffect = ({
setCurrentProfilingRunIndex(0);
const newTestRuns = [
'warm-up-1',
'warm-up-2',
'warm-up-3',
...[
...Array.from({ length: warmUpRounds }, (_, i) => `warm-up-${i}`),
],
...[
...Array.from({ length: numberOfRuns }, (_, i) => `real-run-${i}`),
],
@ -76,9 +78,13 @@ export const ProfilingQueueEffect = ({
return;
}
await new Promise((resolve) =>
setTimeout(resolve, TIME_BETWEEN_TEST_RUNS_IN_MS),
);
const timeInMs = profilingSessionRuns[
currentProfilingRunIndex
].startsWith('warm-up')
? TIME_BETWEEN_TEST_RUNS_IN_MS * 2
: TIME_BETWEEN_TEST_RUNS_IN_MS;
await new Promise((resolve) => setTimeout(resolve, timeInMs));
const nextIndex = currentProfilingRunIndex + 1;
@ -109,6 +115,7 @@ export const ProfilingQueueEffect = ({
profilingSessionRuns,
setProfilingSessionRuns,
numberOfRuns,
warmUpRounds,
]);
return <></>;

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@ -3,7 +3,9 @@ import styled from '@emotion/styled';
import { useRecoilState } from 'recoil';
import { PROFILING_REPORTER_DIV_ID } from '~/testing/profiling/constants/ProfilingReporterDivId';
import { currentProfilingRunIndexState } from '~/testing/profiling/states/currentProfilingRunIndexState';
import { profilingSessionDataPointsState } from '~/testing/profiling/states/profilingSessionDataPointsState';
import { profilingSessionStatusState } from '~/testing/profiling/states/profilingSessionStatusState';
import { computeProfilingReport } from '~/testing/profiling/utils/computeProfilingReport';
const StyledTable = styled.table`
@ -24,6 +26,12 @@ export const ProfilingReporter = () => {
profilingSessionDataPointsState,
);
const [currentProfilingRunIndex] = useRecoilState(
currentProfilingRunIndexState,
);
const [profilingSessionStatus] = useRecoilState(profilingSessionStatusState);
const profilingReport = useMemo(
() => computeProfilingReport(profilingSessionDataPoints),
[profilingSessionDataPoints],
@ -34,6 +42,10 @@ export const ProfilingReporter = () => {
data-profiling-report={JSON.stringify(profilingReport)}
id={PROFILING_REPORTER_DIV_ID}
>
<h2>Profiling report</h2>
<div>
Run #{currentProfilingRunIndex} - Status {profilingSessionStatus}
</div>
<StyledTable>
<thead>
<tr>
@ -46,6 +58,7 @@ export const ProfilingReporter = () => {
<th>P95</th>
<th>P99</th>
<th>Max</th>
<th>Variance</th>
</tr>
</thead>
<tbody>
@ -59,6 +72,9 @@ export const ProfilingReporter = () => {
<td>{Math.round(profilingReport.total.p95 * 1000) / 1000}ms</td>
<td>{Math.round(profilingReport.total.p99 * 1000) / 1000}ms</td>
<td>{Math.round(profilingReport.total.max * 1000) / 1000}ms</td>
<td>
{Math.round(profilingReport.total.variance * 1000000) / 1000000}
</td>
</tr>
{Object.entries(profilingReport.runs).map(([runName, report]) => (
<tr key={runName}>
@ -71,6 +87,7 @@ export const ProfilingReporter = () => {
<td>{Math.round(report.p95 * 1000) / 1000}ms</td>
<td>{Math.round(report.p99 * 1000) / 1000}ms</td>
<td>{Math.round(report.max * 1000) / 1000}ms</td>
<td>{Math.round(report.variance * 1000000) / 1000000}</td>
</tr>
))}
</tbody>

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@ -0,0 +1,6 @@
import { atom } from 'recoil';
export const currentProfilingRunIndexState = atom<number>({
key: 'currentProfilingRunIndexState',
default: 0,
});

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@ -10,6 +10,7 @@ export type ProfilingReportItem = {
p99: number;
min: number;
max: number;
variance: number;
};
export type ProfilingReport = {

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@ -1,7 +1,10 @@
import { ProfilingDataPoint } from '~/testing/profiling/types/ProfilingDataPoint';
import { ProfilingReport } from '~/testing/profiling/types/ProfilingReportByRun';
export const computeProfilingReport = (dataPoints: ProfilingDataPoint[]) => {
export const computeProfilingReport = (
dataPoints: ProfilingDataPoint[],
varianceThreshold?: number,
) => {
const profilingReport = { total: {}, runs: {} } as ProfilingReport;
for (const dataPoint of dataPoints) {
@ -27,8 +30,9 @@ export const computeProfilingReport = (dataPoints: ProfilingDataPoint[]) => {
const numberOfIds = ids.length;
profilingReport.runs[runName].average =
profilingReport.runs[runName].sum / numberOfIds;
const mean = profilingReport.runs[runName].sum / numberOfIds;
profilingReport.runs[runName].average = mean;
profilingReport.runs[runName].min = Math.min(
...Object.values(profilingReport.runs[runName].sumById),
@ -38,6 +42,14 @@ export const computeProfilingReport = (dataPoints: ProfilingDataPoint[]) => {
...Object.values(profilingReport.runs[runName].sumById),
);
const intermediaryValuesForVariance = valuesUnsorted.map((value) =>
Math.pow(value - mean, 2),
);
profilingReport.runs[runName].variance =
intermediaryValuesForVariance.reduce((acc, curr) => acc + curr) /
numberOfIds;
const p50Index = Math.floor(numberOfIds * 0.5);
const p80Index = Math.floor(numberOfIds * 0.8);
const p90Index = Math.floor(numberOfIds * 0.9);
@ -55,9 +67,9 @@ export const computeProfilingReport = (dataPoints: ProfilingDataPoint[]) => {
runName.startsWith('real-run'),
);
const runsForTotal = runNamesForTotal.map(
(runName) => profilingReport.runs[runName],
);
const runsForTotal = runNamesForTotal
.map((runName) => profilingReport.runs[runName])
.filter((run) => run.variance < (varianceThreshold ?? 0.2));
profilingReport.total = {
sum: Object.values(runsForTotal).reduce((acc, run) => acc + run.sum, 0),
@ -82,6 +94,9 @@ export const computeProfilingReport = (dataPoints: ProfilingDataPoint[]) => {
Object.values(runsForTotal).reduce((acc, run) => acc + run.p99, 0) /
Object.keys(runsForTotal).length,
dataPointCount: dataPoints.length,
variance:
runsForTotal.reduce((acc, run) => acc + run.variance, 0) /
runsForTotal.length,
};
return profilingReport;

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@ -11,19 +11,21 @@ export const getProfilingStory = ({
averageThresholdInMs,
numberOfRuns,
numberOfTestsPerRun,
warmUpRounds,
}: {
componentName: string;
p95ThresholdInMs?: number;
averageThresholdInMs: number;
numberOfRuns: number;
numberOfTestsPerRun: number;
warmUpRounds?: number;
}): StoryObj<any> => ({
decorators: [ProfilerDecorator],
parameters: {
numberOfRuns,
numberOfTests: numberOfTestsPerRun,
componentName,
chromatic: { disableSnapshot: true },
warmUpRounds,
},
play: async ({ canvasElement }) => {
await findByTestId(