mirror of
https://github.com/google-gemini/gemini-cli.git
synced 2026-07-15 12:30:32 -07:00
feat(test): add high-volume shell test and refine perf harness (#24983)
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@@ -8,6 +8,7 @@ import { describe, it, beforeAll, afterAll } from 'vitest';
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import { TestRig, PerfTestHarness } from '@google/gemini-cli-test-utils';
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import { join, dirname } from 'node:path';
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import { fileURLToPath } from 'node:url';
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import { existsSync, readFileSync } from 'node:fs';
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const __dirname = dirname(fileURLToPath(import.meta.url));
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const BASELINES_PATH = join(__dirname, 'baselines.json');
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@@ -33,7 +34,7 @@ describe('CPU Performance Tests', () => {
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afterAll(async () => {
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// Generate the summary report after all tests
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await harness.generateReport();
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});
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}, 30000);
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it('cold-startup-time: startup completes within baseline', async () => {
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const result = await harness.runScenario('cold-startup-time', async () => {
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@@ -150,4 +151,119 @@ describe('CPU Performance Tests', () => {
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harness.assertWithinBaseline(result);
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}
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});
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it('high-volume-shell-output: handles large output efficiently', async () => {
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const result = await harness.runScenario(
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'high-volume-shell-output',
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async () => {
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const rig = new TestRig();
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try {
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rig.setup('perf-high-volume-output', {
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fakeResponsesPath: join(__dirname, 'perf.high-volume.responses'),
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});
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const snapshot = await harness.measureWithEventLoop(
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'high-volume-output',
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async () => {
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const runResult = await rig.run({
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args: ['Generate 1M lines of output'],
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timeout: 120000,
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env: {
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GEMINI_API_KEY: 'fake-perf-test-key',
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GEMINI_TELEMETRY_ENABLED: 'true',
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GEMINI_MEMORY_MONITOR_INTERVAL: '500',
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GEMINI_EVENT_LOOP_MONITOR_ENABLED: 'true',
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DEBUG: 'true',
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},
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});
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console.log(` Child Process Output:`, runResult);
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},
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);
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// Query CLI's own performance metrics from telemetry logs
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await rig.waitForTelemetryReady();
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// Debug: Read and log the telemetry file content
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try {
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const logFilePath = join(rig.homeDir!, 'telemetry.log');
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if (existsSync(logFilePath)) {
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const content = readFileSync(logFilePath, 'utf-8');
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console.log(` Telemetry Log Content:\n`, content);
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} else {
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console.log(` Telemetry log file not found at: ${logFilePath}`);
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}
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} catch (e) {
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console.error(` Failed to read telemetry log:`, e);
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}
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const memoryMetric = rig.readMetric('memory.usage');
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const cpuMetric = rig.readMetric('cpu.usage');
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const toolLatencyMetric = rig.readMetric('tool.call.latency');
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const eventLoopMetric = rig.readMetric('event_loop.delay');
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if (memoryMetric) {
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console.log(
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` CLI Memory Metric found:`,
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JSON.stringify(memoryMetric),
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);
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}
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if (cpuMetric) {
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console.log(` CLI CPU Metric found:`, JSON.stringify(cpuMetric));
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}
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if (toolLatencyMetric) {
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console.log(
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` CLI Tool Latency Metric found:`,
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JSON.stringify(toolLatencyMetric),
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);
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}
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// eslint-disable-next-line @typescript-eslint/no-explicit-any
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const logs = (rig as any)._readAndParseTelemetryLog();
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console.log(` Total telemetry log entries: ${logs.length}`);
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for (const logData of logs) {
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if (logData.scopeMetrics) {
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for (const scopeMetric of logData.scopeMetrics) {
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for (const metric of scopeMetric.metrics) {
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if (metric.descriptor.name.includes('event_loop')) {
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console.log(
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` Found event_loop metric in log:`,
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metric.descriptor.name,
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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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if (eventLoopMetric) {
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console.log(
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` CLI Event Loop Metric found:`,
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JSON.stringify(eventLoopMetric),
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);
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const findValue = (percentile: string) => {
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const dp = eventLoopMetric.dataPoints.find(
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// eslint-disable-next-line @typescript-eslint/no-explicit-any
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(p: any) => p.attributes.percentile === percentile,
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);
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return dp ? dp.value.min : undefined;
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};
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snapshot.childEventLoopDelayP50Ms = findValue('p50');
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snapshot.childEventLoopDelayP95Ms = findValue('p95');
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snapshot.childEventLoopDelayMaxMs = findValue('max');
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}
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return snapshot;
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} finally {
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await rig.cleanup();
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}
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},
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);
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if (UPDATE_BASELINES) {
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harness.updateScenarioBaseline(result);
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} else {
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harness.assertWithinBaseline(result);
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}
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});
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});
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