453 lines
16 KiB
TypeScript
453 lines
16 KiB
TypeScript
/**
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* Performance Benchmarks
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*
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* Tests critical performance paths with generous thresholds (CI is slower).
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* All tests use temp directories — no real user data is touched.
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*
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* Coverage:
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* 1. Cold start: server boot → first response
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* 2. FTS5 search with 1000+ frames
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* 3. Workspace list with 50 workspaces
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* 4. Session load with 500 messages
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* 5. Marketplace FTS5 search (bundled DB)
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* 6. Vault set+get cycle
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* 7. Memory frame batch write (100 frames)
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*/
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import { describe, it, expect, beforeAll, afterAll, beforeEach, afterEach } from 'vitest';
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import fs from 'node:fs';
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import path from 'node:path';
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import os from 'node:os';
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import { MindDB, FrameStore, SessionStore, VaultStore, WorkspaceManager } from '@waggle/core';
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import { buildLocalServer } from '../../src/local/index.js';
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import type { FastifyInstance } from 'fastify';
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import { injectWithAuth } from '../test-utils.js';
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import Database from 'better-sqlite3';
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// ── Helpers ─────────────────────────────────────────────────────────────
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// Wall-clock perf thresholds are environment-sensitive: shared CI runners (and a
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// dev box running other suites in parallel) vary wildly, so tight literal bounds
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// produce false failures under load. Scale the budget in CI so only GROSS
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// regressions (a sync-FS-per-item or an accidental O(n²)) trip the gate, while
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// local runs keep the tight bounds that make the numbers meaningful. `CI` is set
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// by GitHub Actions (and most CI providers).
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const PERF_SCALE = process.env.CI ? 6 : 1;
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/** Scale a base millisecond budget for the current environment. */
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function perfBudget(baseMs: number): number {
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return baseMs * PERF_SCALE;
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}
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function createTmpDir(prefix: string): string {
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return fs.mkdtempSync(path.join(os.tmpdir(), `waggle-perf-${prefix}-`));
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}
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function cleanupDir(dir: string): void {
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try {
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fs.rmSync(dir, { recursive: true, force: true });
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} catch { /* best-effort cleanup */ }
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}
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// ── 1. Cold Start Benchmark ─────────────────────────────────────────────
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describe('Performance Benchmarks', () => {
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describe('Cold Start', () => {
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it('server boots and responds within 5 seconds', async () => {
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const tmpDir = createTmpDir('coldstart');
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try {
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// Create a minimal personal.mind so the server can start
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const personalPath = path.join(tmpDir, 'personal.mind');
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const mind = new MindDB(personalPath);
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mind.close();
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const start = Date.now();
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const server = await buildLocalServer({ dataDir: tmpDir });
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const res = await injectWithAuth(server, { method: 'GET', url: '/health' });
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const elapsed = Date.now() - start;
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expect(res.statusCode).toBe(200);
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// Generous threshold: CI machines can be slow. 5s is the safety margin.
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expect(elapsed).toBeLessThan(perfBudget(5000));
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await server.close();
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} finally {
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cleanupDir(tmpDir);
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}
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}, 15_000);
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});
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// ── 2. FTS5 Search Performance ──────────────────────────────────────
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describe('FTS5 Search with 1000 frames', () => {
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let tmpDir: string;
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let mind: MindDB;
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let frames: FrameStore;
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let sessions: SessionStore;
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let gopId: string;
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beforeAll(() => {
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tmpDir = createTmpDir('fts5');
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const dbPath = path.join(tmpDir, 'personal.mind');
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mind = new MindDB(dbPath);
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frames = new FrameStore(mind);
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sessions = new SessionStore(mind);
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// Create a session for FK constraints
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const session = sessions.create('perf-test');
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gopId = session.gop_id;
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// Insert 1000 frames with varied content
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const topics = [
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'machine learning model training optimization',
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'database indexing strategies for SQLite',
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'TypeScript generics and type inference',
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'React component lifecycle management',
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'Node.js event loop performance tuning',
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'memory management garbage collection patterns',
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'API design RESTful best practices',
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'testing strategies unit integration e2e',
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'CI/CD pipeline automation deployment',
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'microservices architecture communication patterns',
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];
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for (let i = 0; i < 1000; i++) {
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const topic = topics[i % topics.length];
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frames.createIFrame(gopId, `Frame ${i}: ${topic} — detailed notes about ${topic} iteration ${i}`, 'normal');
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}
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});
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afterAll(() => {
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mind.close();
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cleanupDir(tmpDir);
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});
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it('FTS5 keyword search completes within 200ms for 1000 frames', () => {
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const raw = mind.getDatabase();
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const start = Date.now();
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const results = raw.prepare(`
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SELECT mf.* FROM memory_frames mf
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INNER JOIN memory_frames_fts fts ON mf.id = fts.rowid
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WHERE memory_frames_fts MATCH ?
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LIMIT 20
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`).all('machine learning');
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const elapsed = Date.now() - start;
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expect(results.length).toBeGreaterThan(0);
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// 200ms is generous — SQLite FTS5 on 1000 rows should be <10ms
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expect(elapsed).toBeLessThan(perfBudget(200));
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});
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it('FTS5 wildcard search completes within 200ms', () => {
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const raw = mind.getDatabase();
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const start = Date.now();
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const results = raw.prepare(`
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SELECT mf.* FROM memory_frames mf
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INNER JOIN memory_frames_fts fts ON mf.id = fts.rowid
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WHERE memory_frames_fts MATCH ?
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LIMIT 20
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`).all('database*');
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const elapsed = Date.now() - start;
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expect(results.length).toBeGreaterThan(0);
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expect(elapsed).toBeLessThan(perfBudget(200));
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});
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it('frame count query completes within 50ms', () => {
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const raw = mind.getDatabase();
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const start = Date.now();
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const row = raw.prepare('SELECT COUNT(*) as cnt FROM memory_frames').get() as { cnt: number };
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const elapsed = Date.now() - start;
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expect(row.cnt).toBe(1000);
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expect(elapsed).toBeLessThan(perfBudget(50));
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});
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});
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// ── 3. Workspace List Performance ───────────────────────────────────
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describe('Workspace Listing with 50 workspaces', () => {
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let tmpDir: string;
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let server: FastifyInstance;
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beforeAll(async () => {
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tmpDir = createTmpDir('ws-list');
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// Create personal.mind
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const personalPath = path.join(tmpDir, 'personal.mind');
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const mind = new MindDB(personalPath);
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mind.close();
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// Create 50 workspaces via WorkspaceManager
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const wsManager = new WorkspaceManager(tmpDir);
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for (let i = 0; i < 50; i++) {
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wsManager.create({
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name: `Project ${i}`,
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group: `Group ${i % 5}`,
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icon: 'folder',
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});
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}
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server = await buildLocalServer({ dataDir: tmpDir });
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}, 30_000);
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afterAll(async () => {
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await server.close();
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cleanupDir(tmpDir);
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});
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it('listing 50 workspaces via API completes within 500ms', async () => {
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const start = Date.now();
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const res = await injectWithAuth(server, { method: 'GET', url: '/api/workspaces' });
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const elapsed = Date.now() - start;
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expect(res.statusCode).toBe(200);
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const body = JSON.parse(res.body);
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expect(body.length).toBe(50);
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// 500ms is generous for reading 50 JSON files from disk
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expect(elapsed).toBeLessThan(perfBudget(500));
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});
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});
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// ── 4. Session Load Performance ─────────────────────────────────────
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describe('Session File Loading', () => {
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let tmpDir: string;
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let sessionFilePath: string;
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beforeAll(() => {
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tmpDir = createTmpDir('session-load');
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// Create a session JSONL file with 500 messages
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const sessionsDir = path.join(tmpDir, 'workspaces', 'test-ws', 'sessions');
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fs.mkdirSync(sessionsDir, { recursive: true });
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sessionFilePath = path.join(sessionsDir, '2026-03-19-benchmark.jsonl');
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const lines: string[] = [];
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for (let i = 0; i < 500; i++) {
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const role = i % 2 === 0 ? 'user' : 'assistant';
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const content = `${role === 'user' ? 'Question' : 'Answer'} number ${i}: ${
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'Lorem ipsum dolor sit amet, consectetur adipiscing elit. '.repeat(3)
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}`;
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lines.push(JSON.stringify({
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role,
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content,
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timestamp: new Date(Date.now() - (500 - i) * 60000).toISOString(),
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}));
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}
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fs.writeFileSync(sessionFilePath, lines.join('\n'));
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});
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afterAll(() => {
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cleanupDir(tmpDir);
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});
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it('loading and parsing a 500-message JSONL file completes within 500ms', () => {
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const start = Date.now();
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const raw = fs.readFileSync(sessionFilePath, 'utf-8');
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const messages = raw.trim().split('\n').map(line => JSON.parse(line));
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const elapsed = Date.now() - start;
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expect(messages.length).toBe(500);
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expect(messages[0].role).toBe('user');
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expect(messages[499].role).toBe('assistant');
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// 500ms is generous — 500 lines of JSONL should parse in <50ms
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expect(elapsed).toBeLessThan(perfBudget(500));
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});
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});
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// ── 5. Marketplace FTS5 Search ──────────────────────────────────────
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describe('Marketplace Search', () => {
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it('marketplace FTS5 search completes within 200ms (bundled DB)', () => {
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// Try to find the bundled marketplace.db
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// Use multiple resolution strategies (relative to test file and repo root)
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const possiblePaths = [
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path.resolve(__dirname, '../../../../marketplace/marketplace.db'),
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path.resolve(__dirname, '../../../../../packages/marketplace/marketplace.db'),
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path.resolve(process.cwd(), 'packages/marketplace/marketplace.db'),
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];
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let dbPath: string | null = null;
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for (const p of possiblePaths) {
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if (fs.existsSync(p)) {
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dbPath = p;
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break;
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}
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}
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if (!dbPath) {
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// Skip if bundled DB not available (e.g., fresh clone without seed)
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console.log(' [skip] marketplace.db not found — skipping marketplace benchmark');
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return;
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}
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// Open the bundled marketplace.db directly in read-only mode.
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// SQLite supports concurrent readers, and the earlier copy-first
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// approach was racy when other tests (backup-*) also touched the
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// source file — a torn copy produced a malformed temp DB.
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try {
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const db = new Database(dbPath, { readonly: true, fileMustExist: true });
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const start = Date.now();
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const results = db.prepare(`
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SELECT p.* FROM packages p
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INNER JOIN packages_fts fts ON p.id = fts.rowid
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WHERE packages_fts MATCH ?
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LIMIT 20
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`).all('code review');
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const elapsed = Date.now() - start;
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expect(elapsed).toBeLessThan(perfBudget(200));
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// The marketplace should have at least some results for "code review"
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expect(results.length).toBeGreaterThanOrEqual(0);
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db.close();
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} catch (err) {
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// Source DB may be transiently malformed if another test is mid-write.
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// Treat as a skip rather than a hard failure for this best-effort perf check.
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if (String(err).includes('malformed') || String(err).includes('not a database')) {
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console.log(' [skip] marketplace.db transient write — skipping');
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return;
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}
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throw err;
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}
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});
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});
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// ── 6. Vault Operations ─────────────────────────────────────────────
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describe('Vault Encrypt/Decrypt Cycle', () => {
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let tmpDir: string;
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let vault: VaultStore;
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beforeEach(() => {
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tmpDir = createTmpDir('vault');
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vault = new VaultStore(tmpDir);
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});
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afterEach(() => {
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cleanupDir(tmpDir);
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});
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it('vault set+get cycle completes within 100ms', () => {
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const start = Date.now();
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vault.set('BENCHMARK_KEY', 'sk-benchmark-secret-value-12345');
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const result = vault.get('BENCHMARK_KEY');
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const elapsed = Date.now() - start;
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expect(result).not.toBeNull();
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expect(result!.value).toBe('sk-benchmark-secret-value-12345');
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// 100ms is generous — AES-256-GCM + file I/O should be <20ms
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expect(elapsed).toBeLessThan(perfBudget(100));
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});
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it('10 sequential set+get cycles complete within 500ms', () => {
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const start = Date.now();
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for (let i = 0; i < 10; i++) {
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vault.set(`KEY_${i}`, `secret-value-${i}-${'x'.repeat(100)}`);
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const result = vault.get(`KEY_${i}`);
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expect(result).not.toBeNull();
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expect(result!.value).toBe(`secret-value-${i}-${'x'.repeat(100)}`);
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}
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const elapsed = Date.now() - start;
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// 500ms for 10 encrypt+decrypt+file-write cycles
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expect(elapsed).toBeLessThan(perfBudget(500));
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});
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it('vault list with 20 secrets completes within 50ms', () => {
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// Pre-populate
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for (let i = 0; i < 20; i++) {
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vault.set(`LIST_KEY_${i}`, `value-${i}`);
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}
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const start = Date.now();
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const secrets = vault.list();
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const elapsed = Date.now() - start;
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expect(secrets.length).toBe(20);
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expect(elapsed).toBeLessThan(perfBudget(50));
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});
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});
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// ── 7. Memory Frame Write Performance ───────────────────────────────
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describe('Memory Frame Batch Write', () => {
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let tmpDir: string;
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let mind: MindDB;
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let frames: FrameStore;
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let sessions: SessionStore;
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beforeEach(() => {
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tmpDir = createTmpDir('frame-write');
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const dbPath = path.join(tmpDir, 'write-bench.mind');
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mind = new MindDB(dbPath);
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frames = new FrameStore(mind);
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sessions = new SessionStore(mind);
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});
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afterEach(() => {
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mind.close();
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cleanupDir(tmpDir);
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});
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it('writing 100 I-frames completes within 2 seconds', () => {
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const session = sessions.create('write-bench');
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const gopId = session.gop_id;
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const start = Date.now();
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for (let i = 0; i < 100; i++) {
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frames.createIFrame(
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gopId,
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`Batch write test frame ${i}: This is a moderately sized content block that simulates real-world memory frame sizes with enough text to be meaningful.`,
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'normal'
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);
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}
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const elapsed = Date.now() - start;
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// Verify all frames were written
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const allFrames = frames.getGopFrames(gopId);
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expect(allFrames.length).toBe(100);
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// 2 seconds is generous — SQLite WAL mode batch writes should be <500ms
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expect(elapsed).toBeLessThan(perfBudget(2000));
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});
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it('writing 100 P-frames completes within 2 seconds', () => {
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const session = sessions.create('pframe-bench');
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const gopId = session.gop_id;
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// Create an I-frame as the base
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const baseFrame = frames.createIFrame(gopId, 'Base frame for P-frame benchmark', 'normal');
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const start = Date.now();
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for (let i = 0; i < 100; i++) {
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frames.createPFrame(
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gopId,
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`P-frame delta ${i}: Updated information about the topic with new details and corrections.`,
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baseFrame.id,
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'normal'
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);
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}
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const elapsed = Date.now() - start;
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// 1 base + 100 P-frames = 101
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const allFrames = frames.getGopFrames(gopId);
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expect(allFrames.length).toBe(101);
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expect(elapsed).toBeLessThan(perfBudget(2000));
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});
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it('creating 50 sessions completes within 1 second', () => {
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const start = Date.now();
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for (let i = 0; i < 50; i++) {
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sessions.create(`session-bench-${i}`);
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}
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const elapsed = Date.now() - start;
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expect(elapsed).toBeLessThan(perfBudget(1000));
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});
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});
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});
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