Files
gemini-cli/perf-tests/perf-usage.test.ts

154 lines
4.5 KiB
TypeScript

/**
* @license
* Copyright 2026 Google LLC
* SPDX-License-Identifier: Apache-2.0
*/
import { describe, it, beforeAll, afterAll } from 'vitest';
import { TestRig, PerfTestHarness } from '@google/gemini-cli-test-utils';
import { join, dirname } from 'node:path';
import { fileURLToPath } from 'node:url';
const __dirname = dirname(fileURLToPath(import.meta.url));
const BASELINES_PATH = join(__dirname, 'baselines.json');
const UPDATE_BASELINES = process.env['UPDATE_PERF_BASELINES'] === 'true';
const TOLERANCE_PERCENT = 15;
// Use fewer samples locally for faster iteration, more in CI
const SAMPLE_COUNT = process.env['CI'] ? 5 : 3;
const WARMUP_COUNT = 1;
describe('CPU Performance Tests', () => {
let harness: PerfTestHarness;
beforeAll(() => {
harness = new PerfTestHarness({
baselinesPath: BASELINES_PATH,
defaultTolerancePercent: TOLERANCE_PERCENT,
sampleCount: SAMPLE_COUNT,
warmupCount: WARMUP_COUNT,
});
});
afterAll(async () => {
// Generate the summary report after all tests
await harness.generateReport();
});
it('cold-startup-time: startup completes within baseline', async () => {
const result = await harness.runScenario('cold-startup-time', async () => {
const rig = new TestRig();
try {
rig.setup('perf-cold-startup', {
fakeResponsesPath: join(__dirname, 'perf.cold-startup.responses'),
});
return await harness.measure('cold-startup', async () => {
await rig.run({
args: ['hello'],
timeout: 120000,
env: { GEMINI_API_KEY: 'fake-perf-test-key' },
});
});
} finally {
await rig.cleanup();
}
});
if (UPDATE_BASELINES) {
harness.updateScenarioBaseline(result);
} else {
harness.assertWithinBaseline(result);
}
});
it('idle-cpu-usage: CPU stays low when idle', async () => {
const IDLE_OBSERVATION_MS = 5000;
const result = await harness.runScenario('idle-cpu-usage', async () => {
const rig = new TestRig();
try {
rig.setup('perf-idle-cpu', {
fakeResponsesPath: join(__dirname, 'perf.idle-cpu.responses'),
});
// First, run a prompt to get the CLI into idle state
await rig.run({
args: ['hello'],
timeout: 120000,
env: { GEMINI_API_KEY: 'fake-perf-test-key' },
});
// Now measure CPU during idle period in the test process
return await harness.measureWithEventLoop('idle-cpu', async () => {
// Simulate idle period — just wait
const { setTimeout: sleep } = await import('node:timers/promises');
await sleep(IDLE_OBSERVATION_MS);
});
} finally {
await rig.cleanup();
}
});
if (UPDATE_BASELINES) {
harness.updateScenarioBaseline(result);
} else {
harness.assertWithinBaseline(result);
}
});
it('skill-loading-time: startup with many skills within baseline', async () => {
const SKILL_COUNT = 20;
const result = await harness.runScenario('skill-loading-time', async () => {
const rig = new TestRig();
try {
rig.setup('perf-skill-loading', {
fakeResponsesPath: join(__dirname, 'perf.skill-loading.responses'),
});
// Create many skill directories with SKILL.md files
for (let i = 0; i < SKILL_COUNT; i++) {
const skillDir = `.gemini/skills/perf-skill-${i}`;
rig.mkdir(skillDir);
rig.createFile(
`${skillDir}/SKILL.md`,
[
'---',
`name: perf-skill-${i}`,
`description: Performance test skill number ${i}`,
`activation: manual`,
'---',
'',
`# Performance Test Skill ${i}`,
'',
`This is a test skill for measuring skill loading performance.`,
`It contains some content to simulate real-world skill files.`,
'',
`## Usage`,
'',
`Use this skill by activating it with @perf-skill-${i}.`,
].join('\n'),
);
}
return await harness.measure('skill-loading', async () => {
await rig.run({
args: ['hello'],
timeout: 120000,
env: { GEMINI_API_KEY: 'fake-perf-test-key' },
});
});
} finally {
await rig.cleanup();
}
});
if (UPDATE_BASELINES) {
harness.updateScenarioBaseline(result);
} else {
harness.assertWithinBaseline(result);
}
});
});