mirror of
https://github.com/Ark0N/Codeman.git
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arkonandClaude Opus 4.6
3795c45cc1
Full product rename across 109 files (~834 occurrences): - Env vars: CLAUDEMAN_* → CODEMAN_* - Data dirs: ~/.claudeman/ → ~/.codeman/, ~/claudeman-cases/ → ~/codeman-cases/ - tmux prefix: claudeman- → codeman- - localStorage: claudeman-* → codeman-* - Package/CLI: claudeman → codeman - GitHub repo: Ark0N/Claudeman → Ark0N/Codeman - systemd service: claudeman-web → codeman-web - Class: ClaudemanApp → CodemanApp Migration infrastructure for seamless transition: - state-store.ts: auto-migrates data directories on startup - tmux-manager.ts: dual-prefix detection (legacy claudeman- sessions) - app.js: localStorage key migration (preserves old keys) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
685 lines
28 KiB
TypeScript
685 lines
28 KiB
TypeScript
/**
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* Performance tests: Codeman responsiveness under subagent load
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*
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* Measures event loop lag caused by:
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* 1. SubagentWatcher processing many agent files simultaneously
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* 2. extractDescriptionFromParentTranscript reading full transcript files
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* 3. findSubagentProcess spawning pgrep for every agent in liveness checks
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* 4. SSE broadcast serialization under heavy event load
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* 5. flushTerminalBatches with many concurrent sessions
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*
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* Port: none (no server needed — unit-level perf tests)
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*/
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import { describe, it, expect, beforeEach, afterEach, vi } from 'vitest';
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import { mkdtempSync, mkdirSync, writeFileSync, rmSync } from 'node:fs';
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import { join } from 'node:path';
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import { tmpdir } from 'node:os';
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import { SubagentWatcher } from '../src/subagent-watcher.js';
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// ========== Helpers ==========
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/** Generate a realistic JSONL transcript entry */
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function makeTranscriptEntry(type: 'user' | 'assistant', content: string, extras: Record<string, unknown> = {}): string {
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const base: Record<string, unknown> = {
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type,
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timestamp: new Date().toISOString(),
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message: {
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role: type,
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content: type === 'user'
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? [{ type: 'text', text: content }]
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: content,
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...(type === 'assistant' ? { model: 'claude-sonnet-4-20250514', usage: { input_tokens: 1500, output_tokens: 800 } } : {}),
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},
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...extras,
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};
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return JSON.stringify(base);
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}
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/** Generate a realistic large parent transcript (many lines of JSONL) */
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function generateParentTranscript(lineCount: number, agentIds: string[] = []): string {
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const lines: string[] = [];
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for (let i = 0; i < lineCount; i++) {
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if (i % 2 === 0) {
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lines.push(makeTranscriptEntry('user', `Please do task ${i} for the project`));
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} else {
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lines.push(makeTranscriptEntry('assistant', `Working on task ${i}...`));
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}
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}
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// Sprinkle in toolUseResult entries for agent descriptions
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for (const agentId of agentIds) {
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lines.push(JSON.stringify({
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type: 'user',
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timestamp: new Date().toISOString(),
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toolUseResult: { agentId, description: `Research task for ${agentId}` },
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}));
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}
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return lines.join('\n') + '\n';
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}
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/** Generate a subagent transcript file */
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function generateAgentTranscript(lineCount: number): string {
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const lines: string[] = [];
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lines.push(makeTranscriptEntry('user', 'Investigate the authentication module and suggest improvements for rate limiting'));
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for (let i = 1; i < lineCount; i++) {
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if (i % 3 === 0) {
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lines.push(JSON.stringify({
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type: 'tool_call',
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timestamp: new Date().toISOString(),
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tool: 'Read',
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input: { file_path: `/home/user/project/src/file-${i}.ts` },
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toolUseId: `tool-${i}`,
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}));
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} else if (i % 3 === 1) {
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lines.push(JSON.stringify({
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type: 'tool_result',
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timestamp: new Date().toISOString(),
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toolUseId: `tool-${i - 1}`,
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content: 'x'.repeat(500),
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}));
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} else {
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lines.push(makeTranscriptEntry('assistant', `Analysis step ${i}: Found pattern in module...`));
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}
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}
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return lines.join('\n') + '\n';
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}
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/** Measure event loop lag over a duration */
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function measureEventLoopLag(durationMs: number): Promise<{ maxLagMs: number; avgLagMs: number; samples: number[] }> {
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return new Promise((resolve) => {
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const samples: number[] = [];
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let lastTime = performance.now();
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const interval = setInterval(() => {
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const now = performance.now();
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const lag = now - lastTime - 2; // subtract the 2ms expected interval
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samples.push(Math.max(0, lag));
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lastTime = now;
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}, 2);
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setTimeout(() => {
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clearInterval(interval);
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const maxLagMs = Math.max(...samples, 0);
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const avgLagMs = samples.length > 0 ? samples.reduce((a, b) => a + b, 0) / samples.length : 0;
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resolve({ maxLagMs, avgLagMs, samples });
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}, durationMs);
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});
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}
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// ========== Tests ==========
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describe('SubagentWatcher performance', () => {
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let tmpDir: string;
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let projectsDir: string;
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beforeEach(() => {
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tmpDir = mkdtempSync(join(tmpdir(), 'codeman-perf-'));
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projectsDir = join(tmpDir, 'projects');
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mkdirSync(projectsDir, { recursive: true });
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});
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afterEach(() => {
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rmSync(tmpDir, { recursive: true, force: true });
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});
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describe('extractDescriptionFromParentTranscript — full file reads', () => {
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it('should parse a 1000-line parent transcript without significant event loop lag', async () => {
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// Setup: create a realistic parent transcript with 1000 lines
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const projectHash = 'abc123';
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const sessionId = 'session-001';
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const agentIds = Array.from({ length: 10 }, (_, i) => `agent-${i}`);
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const projectDir = join(projectsDir, projectHash);
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const sessionDir = join(projectDir, sessionId);
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const subagentDir = join(sessionDir, 'subagents');
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mkdirSync(subagentDir, { recursive: true });
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// Write a large parent transcript
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const transcript = generateParentTranscript(1000, agentIds);
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writeFileSync(join(projectDir, `${sessionId}.jsonl`), transcript);
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// Write 10 agent files
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for (const id of agentIds) {
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writeFileSync(join(subagentDir, `agent-${id}.jsonl`), generateAgentTranscript(50));
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}
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// Measure: call extractDescriptionFromParentTranscript via public path
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// We can't call private methods directly, so we test via watchAgentFile indirection
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// Instead, test the raw approach: read + parse + search (same as the method does)
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const { readFile } = await import('node:fs/promises');
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const transcriptPath = join(projectDir, `${sessionId}.jsonl`);
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const start = performance.now();
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const content = await readFile(transcriptPath, 'utf8');
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const lines = content.split('\n').filter((l: string) => l.trim());
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let found = false;
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for (const line of lines) {
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try {
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const entry = JSON.parse(line);
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if (entry.type === 'user' && entry.toolUseResult?.agentId === 'agent-5') {
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found = true;
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break;
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}
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} catch { /* skip */ }
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}
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const elapsed = performance.now() - start;
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expect(found).toBe(true);
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// 1000-line transcript should parse in under 10ms
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expect(elapsed).toBeLessThan(50);
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});
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it('should handle 10,000-line transcript without blocking event loop > 50ms', async () => {
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const projectHash = 'bigproject';
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const sessionId = 'session-big';
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const agentIds = ['target-agent'];
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const projectDir = join(projectsDir, projectHash);
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mkdirSync(projectDir, { recursive: true });
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// 10K lines = realistic for a long Claude session
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const transcript = generateParentTranscript(10000, agentIds);
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writeFileSync(join(projectDir, `${sessionId}.jsonl`), transcript);
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const { readFile } = await import('node:fs/promises');
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const transcriptPath = join(projectDir, `${sessionId}.jsonl`);
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// Start event loop lag measurement
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const lagPromise = measureEventLoopLag(500);
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// Simulate 5 concurrent reads (5 subagents discovered simultaneously)
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const reads = Array.from({ length: 5 }, async () => {
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const content = await readFile(transcriptPath, 'utf8');
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const lines = content.split('\n').filter((l: string) => l.trim());
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for (const line of lines) {
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try {
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const entry = JSON.parse(line);
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if (entry.type === 'user' && entry.toolUseResult?.agentId === 'target-agent') {
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return entry.toolUseResult.description;
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}
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} catch { /* skip */ }
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}
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return undefined;
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});
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const results = await Promise.all(reads);
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const lag = await lagPromise;
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// All 5 should find the description
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for (const r of results) {
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expect(r).toBe('Research task for target-agent');
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}
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// Key assertion: max event loop lag should stay reasonable
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// JSON.parse of 10K lines is synchronous and blocks the event loop
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console.log(`[10K transcript × 5 reads] max lag: ${lag.maxLagMs.toFixed(1)}ms, avg: ${lag.avgLagMs.toFixed(1)}ms`);
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// This WILL likely fail — proving the bottleneck
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// 50ms is the threshold where users notice UI jank
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expect(lag.maxLagMs).toBeLessThan(100);
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});
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});
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describe('extractDescriptionFromFile — full subagent file reads', () => {
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it('should extract description from first 8KB instead of reading entire file', async () => {
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const agentDir = join(tmpDir, 'agent-files');
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mkdirSync(agentDir, { recursive: true });
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// Create a large agent file (5000 lines, ~2MB)
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const agentFile = join(agentDir, 'agent-large.jsonl');
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writeFileSync(agentFile, generateAgentTranscript(5000));
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const { readFile, stat: statAsync } = await import('node:fs/promises');
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const fileStat = await statAsync(agentFile);
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const fileSizeKB = fileStat.size / 1024;
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// Approach 1: Read entire file then slice first 5 lines
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const start = performance.now();
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const content = await readFile(agentFile, 'utf8');
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const lines = content.split('\n').filter((l: string) => l.trim());
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const firstFive = lines.slice(0, 5);
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let description: string | undefined;
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for (const line of firstFive) {
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try {
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const entry = JSON.parse(line);
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if (entry.type === 'user' && entry.message?.content) {
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const firstContent = Array.isArray(entry.message.content)
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? entry.message.content[0]
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: undefined;
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if (firstContent?.type === 'text') {
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description = firstContent.text.trim().slice(0, 45);
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}
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}
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} catch { /* skip */ }
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}
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const readAllElapsed = performance.now() - start;
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// Approach 2: Read only first 8KB via partial read
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const start2 = performance.now();
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const fd = await import('node:fs/promises').then(m => m.open(agentFile, 'r'));
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const buf = Buffer.alloc(8192);
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const { bytesRead } = await fd.read(buf, 0, 8192, 0);
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await fd.close();
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const partial = buf.subarray(0, bytesRead).toString('utf8');
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const partialLines = partial.split('\n').filter((l: string) => l.trim());
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let description2: string | undefined;
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for (const line of partialLines.slice(0, 5)) {
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try {
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const entry = JSON.parse(line);
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if (entry.type === 'user' && entry.message?.content) {
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const firstContent = Array.isArray(entry.message.content)
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? entry.message.content[0]
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: undefined;
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if (firstContent?.type === 'text') {
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description2 = firstContent.text.trim().slice(0, 45);
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}
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}
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} catch { /* skip */ }
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}
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const partialElapsed = performance.now() - start2;
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console.log(`[extractDescription] file: ${fileSizeKB.toFixed(0)}KB, readAll: ${readAllElapsed.toFixed(1)}ms, partial-8KB: ${partialElapsed.toFixed(1)}ms`);
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console.log(`[extractDescription] readAll bytes: ${content.length}, partial bytes: ${bytesRead}`);
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// Both approaches must find the same description
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expect(description).toBeDefined();
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expect(description2).toBeDefined();
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expect(description).toBe(description2);
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// The partial read should touch far less data than readAll
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expect(bytesRead).toBeLessThan(fileStat.size / 10);
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// Both approaches should complete quickly (under 50ms for cached files)
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expect(readAllElapsed).toBeLessThan(50);
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expect(partialElapsed).toBeLessThan(50);
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});
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});
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describe('findSubagentProcess — pgrep + /proc reads for every agent', () => {
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it('should measure cost of pgrep per agent in liveness check', async () => {
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const { execFile } = await import('node:child_process');
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// Measure single pgrep call (what happens per agent per liveness check)
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const times: number[] = [];
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for (let i = 0; i < 10; i++) {
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const start = performance.now();
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await new Promise<void>((resolve) => {
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execFile('pgrep', ['-f', 'claude'], { encoding: 'utf8' }, () => {
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times.push(performance.now() - start);
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resolve();
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});
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});
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}
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const avgMs = times.reduce((a, b) => a + b, 0) / times.length;
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const maxMs = Math.max(...times);
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console.log(`[pgrep per call] avg: ${avgMs.toFixed(1)}ms, max: ${maxMs.toFixed(1)}ms`);
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// Now simulate what happens with 20 active agents (sequential, as the liveness checker does)
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const start20 = performance.now();
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for (let i = 0; i < 20; i++) {
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await new Promise<void>((resolve) => {
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execFile('pgrep', ['-f', 'claude'], { encoding: 'utf8' }, () => resolve());
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});
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}
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const total20 = performance.now() - start20;
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console.log(`[pgrep × 20 agents] total: ${total20.toFixed(1)}ms`);
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// 20 sequential pgrep calls at ~5-10ms each = 100-200ms blocking the liveness check
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// The liveness checker runs every 10s and blocks the event loop during iteration
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// because it awaits each agent serially: for (const [agentId, info] of this.agentInfo)
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});
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it('should measure /proc environ reads (per pgrep hit)', async () => {
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const { readFile } = await import('node:fs/promises');
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// Read our own /proc/self/environ as baseline
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const times: number[] = [];
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for (let i = 0; i < 20; i++) {
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const start = performance.now();
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try {
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await readFile('/proc/self/environ', 'utf8');
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} catch { /* may fail in containers */ }
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times.push(performance.now() - start);
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}
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const avgMs = times.reduce((a, b) => a + b, 0) / times.length;
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console.log(`[/proc/environ read] avg: ${avgMs.toFixed(1)}ms over 20 reads`);
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// Each findSubagentProcess reads /proc/{pid}/environ + /proc/{pid}/cmdline
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// for every PID returned by pgrep — if 50 claude-related PIDs, that's 100 reads
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});
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});
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describe('SSE broadcast serialization under load', () => {
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it('should measure JSON.stringify cost for typical broadcast payloads', () => {
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// Simulate subagent:discovered events (fired for each new agent)
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const agentInfo = {
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agentId: 'abc-123-def',
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sessionId: 'session-001',
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projectHash: 'proj-hash',
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filePath: '/home/user/.claude/projects/hash/session/subagents/agent-abc.jsonl',
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startedAt: new Date().toISOString(),
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lastActivityAt: Date.now(),
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status: 'active',
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toolCallCount: 0,
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entryCount: 0,
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fileSize: 1024,
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description: 'Research authentication patterns in the codebase',
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model: 'claude-sonnet-4-20250514',
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modelShort: 'sonnet',
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totalInputTokens: 15000,
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totalOutputTokens: 8000,
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};
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// Simulate burst of 20 agents discovered at once
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const start = performance.now();
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const messages: string[] = [];
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for (let i = 0; i < 20; i++) {
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const payload = { ...agentInfo, agentId: `agent-${i}` };
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messages.push(`event: subagent:discovered\ndata: ${JSON.stringify(payload)}\n\n`);
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}
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const elapsed = performance.now() - start;
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console.log(`[broadcast × 20 agents] serialization: ${elapsed.toFixed(2)}ms`);
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// Now simulate what happens when each is written to 10 SSE clients
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// (the inner loop in broadcast())
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const totalBytes = messages.reduce((sum, m) => sum + m.length, 0);
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console.log(`[broadcast × 20 agents] total payload: ${(totalBytes / 1024).toFixed(1)}KB`);
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// Serialization alone should be fast
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expect(elapsed).toBeLessThan(5);
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});
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it('should measure cost of rapid terminal broadcasts with large payloads', () => {
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// Simulate 20 sessions each flushing 16KB of terminal data
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const sessions = Array.from({ length: 20 }, (_, i) => ({
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id: `session-${i}`,
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data: '\x1b[?2026h' + 'x'.repeat(16 * 1024) + '\x1b[?2026l',
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}));
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const start = performance.now();
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const messages: string[] = [];
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for (const session of sessions) {
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messages.push(`event: session:terminal\ndata: ${JSON.stringify(session)}\n\n`);
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}
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const elapsed = performance.now() - start;
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const totalMB = messages.reduce((sum, m) => sum + m.length, 0) / (1024 * 1024);
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console.log(`[terminal flush × 20 sessions] serialization: ${elapsed.toFixed(1)}ms, payload: ${totalMB.toFixed(2)}MB`);
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// 20 × 16KB = 320KB serialized simultaneously — should still be < 20ms
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expect(elapsed).toBeLessThan(50);
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});
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});
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describe('combined load scenario: subagent storm', () => {
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it('should simulate 10 agents starting while terminal data is flowing', async () => {
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// This is the real-world scenario: user is working, Claude spawns agents,
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// and the UI freezes because:
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// 1. 10× extractDescriptionFromParentTranscript (read + parse full transcripts)
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// 2. 10× extractDescriptionFromFile (read + parse agent files)
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// 3. 10× subagent:discovered broadcasts
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// 4. Terminal data keeps flowing and needs to flush
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// All of this on the same event loop
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const projectDir = join(tmpDir, 'storm-project', 'hash123', 'session-main');
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const subagentDir = join(projectDir, 'subagents');
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mkdirSync(subagentDir, { recursive: true });
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// Large parent transcript (5000 lines)
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const parentTranscript = generateParentTranscript(5000,
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Array.from({ length: 10 }, (_, i) => `storm-agent-${i}`)
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);
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writeFileSync(join(tmpDir, 'storm-project', 'hash123', 'session-main.jsonl'), parentTranscript);
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// 10 agent transcript files (500 lines each)
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for (let i = 0; i < 10; i++) {
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writeFileSync(join(subagentDir, `agent-storm-agent-${i}.jsonl`), generateAgentTranscript(500));
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}
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const { readFile } = await import('node:fs/promises');
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const parentPath = join(tmpDir, 'storm-project', 'hash123', 'session-main.jsonl');
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// Start event loop lag measurement
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const lagPromise = measureEventLoopLag(2000);
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// Simulate what SubagentWatcher does when 10 agents appear:
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const start = performance.now();
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// Phase 1: Read parent transcript 10 times (once per agent to find description)
|
||
const descriptionReads = Array.from({ length: 10 }, async (_, i) => {
|
||
const content = await readFile(parentPath, 'utf8');
|
||
const lines = content.split('\n').filter((l: string) => l.trim());
|
||
for (const line of lines) {
|
||
try {
|
||
const entry = JSON.parse(line);
|
||
if (entry.type === 'user' && entry.toolUseResult?.agentId === `storm-agent-${i}`) {
|
||
return entry.toolUseResult.description;
|
||
}
|
||
} catch { /* skip */ }
|
||
}
|
||
return undefined;
|
||
});
|
||
|
||
// Phase 2: Concurrently, simulate terminal data serialization (every 16ms)
|
||
let terminalSerializations = 0;
|
||
const terminalInterval = setInterval(() => {
|
||
// Simulate flushTerminalBatches for 5 active sessions
|
||
for (let s = 0; s < 5; s++) {
|
||
JSON.stringify({ id: `session-${s}`, data: 'x'.repeat(4096) });
|
||
}
|
||
terminalSerializations++;
|
||
}, 16);
|
||
|
||
const descriptions = await Promise.all(descriptionReads);
|
||
clearInterval(terminalInterval);
|
||
|
||
const totalElapsed = performance.now() - start;
|
||
const lag = await lagPromise;
|
||
|
||
console.log(`[subagent storm] 10 agents + terminal: ${totalElapsed.toFixed(0)}ms`);
|
||
console.log(`[subagent storm] terminal flushes during: ${terminalSerializations}`);
|
||
console.log(`[subagent storm] max event loop lag: ${lag.maxLagMs.toFixed(1)}ms`);
|
||
console.log(`[subagent storm] avg event loop lag: ${lag.avgLagMs.toFixed(1)}ms`);
|
||
|
||
// Count how many lag samples exceeded 50ms (UI jank threshold)
|
||
const jankSamples = lag.samples.filter(s => s > 50).length;
|
||
const totalSamples = lag.samples.length;
|
||
console.log(`[subagent storm] jank samples (>50ms): ${jankSamples}/${totalSamples} (${((jankSamples / totalSamples) * 100).toFixed(1)}%)`);
|
||
|
||
// Verify correctness
|
||
for (const d of descriptions) {
|
||
expect(d).toMatch(/^Research task for storm-agent-\d+$/);
|
||
}
|
||
|
||
// This is the key metric: during a subagent storm, max lag should stay under 100ms
|
||
// In practice, the synchronous JSON.parse of 5000 lines × 10 concurrent reads
|
||
// will cause significant lag spikes
|
||
if (lag.maxLagMs > 100) {
|
||
console.warn(`⚠️ MAX LAG ${lag.maxLagMs.toFixed(0)}ms EXCEEDS 100ms — UI will feel unresponsive`);
|
||
}
|
||
});
|
||
});
|
||
|
||
describe('liveness checker: tiered optimization', () => {
|
||
it('should measure old approach: full pgrep scan for 20 agents', async () => {
|
||
const { execFile } = await import('node:child_process');
|
||
const { readFile } = await import('node:fs/promises');
|
||
|
||
const lagPromise = measureEventLoopLag(3000);
|
||
|
||
const start = performance.now();
|
||
// Old approach: pgrep once + /proc reads for all PIDs, then iterate all agents
|
||
const pids = await new Promise<string[]>((resolve) => {
|
||
execFile('pgrep', ['-f', 'node'], { encoding: 'utf8' }, (_err, stdout) => {
|
||
resolve((stdout || '').trim().split('\n').filter(Boolean));
|
||
});
|
||
});
|
||
for (const pidStr of pids.slice(0, 10)) {
|
||
try { await readFile(`/proc/${pidStr}/environ`, 'utf8'); } catch { /* */ }
|
||
try { await readFile(`/proc/${pidStr}/cmdline`, 'utf8'); } catch { /* */ }
|
||
}
|
||
const elapsed = performance.now() - start;
|
||
const lag = await lagPromise;
|
||
|
||
console.log(`[old liveness] pgrep + /proc for ${pids.length} PIDs: ${elapsed.toFixed(0)}ms`);
|
||
console.log(`[old liveness] max event loop lag: ${lag.maxLagMs.toFixed(1)}ms`);
|
||
});
|
||
|
||
it('should measure new tier-1: file stat for 20 agents (fast path)', async () => {
|
||
// Create 20 agent files to stat
|
||
const agentDir = join(tmpDir, 'tier1-agents');
|
||
mkdirSync(agentDir, { recursive: true });
|
||
const files: string[] = [];
|
||
for (let i = 0; i < 20; i++) {
|
||
const f = join(agentDir, `agent-${i}.jsonl`);
|
||
writeFileSync(f, generateAgentTranscript(50));
|
||
files.push(f);
|
||
}
|
||
|
||
const { stat: statFn } = await import('node:fs/promises');
|
||
const lagPromise = measureEventLoopLag(500);
|
||
|
||
const start = performance.now();
|
||
let aliveCount = 0;
|
||
for (const f of files) {
|
||
try {
|
||
const s = await statFn(f);
|
||
if (Date.now() - s.mtime.getTime() < 30000) aliveCount++;
|
||
} catch { /* */ }
|
||
}
|
||
const elapsed = performance.now() - start;
|
||
const lag = await lagPromise;
|
||
|
||
console.log(`[tier-1 file stat × 20 agents] ${elapsed.toFixed(1)}ms, all alive: ${aliveCount === 20}`);
|
||
console.log(`[tier-1 file stat] max event loop lag: ${lag.maxLagMs.toFixed(1)}ms`);
|
||
|
||
// File stat for 20 agents should be well under 5ms total
|
||
expect(elapsed).toBeLessThan(20);
|
||
expect(aliveCount).toBe(20);
|
||
});
|
||
|
||
it('should measure new tier-2: /proc/{pid}/stat for 20 cached PIDs', async () => {
|
||
const { stat: statFn } = await import('node:fs/promises');
|
||
const ourPid = process.pid;
|
||
|
||
const lagPromise = measureEventLoopLag(500);
|
||
|
||
const start = performance.now();
|
||
let aliveCount = 0;
|
||
// Simulate checking 20 cached PIDs (all point to our own PID for testing)
|
||
for (let i = 0; i < 20; i++) {
|
||
try {
|
||
await statFn(`/proc/${ourPid}`);
|
||
aliveCount++;
|
||
} catch { /* */ }
|
||
}
|
||
const elapsed = performance.now() - start;
|
||
const lag = await lagPromise;
|
||
|
||
console.log(`[tier-2 /proc/pid × 20 agents] ${elapsed.toFixed(1)}ms, alive: ${aliveCount}`);
|
||
console.log(`[tier-2 /proc/pid] max event loop lag: ${lag.maxLagMs.toFixed(1)}ms`);
|
||
|
||
// /proc/pid stat for 20 agents should be well under 5ms total
|
||
expect(elapsed).toBeLessThan(20);
|
||
});
|
||
|
||
it('should show tier-1+2 is orders of magnitude faster than full pgrep scan', async () => {
|
||
const { stat: statFn } = await import('node:fs/promises');
|
||
const { execFile: execFileFn } = await import('node:child_process');
|
||
|
||
// Create 20 agent files
|
||
const agentDir = join(tmpDir, 'comparison-agents');
|
||
mkdirSync(agentDir, { recursive: true });
|
||
const files: string[] = [];
|
||
for (let i = 0; i < 20; i++) {
|
||
const f = join(agentDir, `agent-${i}.jsonl`);
|
||
writeFileSync(f, 'x'.repeat(100));
|
||
files.push(f);
|
||
}
|
||
|
||
// Tier 1+2 approach: stat files + stat /proc/pid
|
||
const startFast = performance.now();
|
||
for (const f of files) {
|
||
await statFn(f); // tier 1
|
||
}
|
||
for (let i = 0; i < 20; i++) {
|
||
try { await statFn(`/proc/${process.pid}`); } catch { /* */ } // tier 2
|
||
}
|
||
const fastElapsed = performance.now() - startFast;
|
||
|
||
// Old approach: pgrep + /proc reads
|
||
const startSlow = performance.now();
|
||
const { readFile } = await import('node:fs/promises');
|
||
const pids = await new Promise<string[]>((resolve) => {
|
||
execFileFn('pgrep', ['-f', 'node'], { encoding: 'utf8' }, (_err, stdout) => {
|
||
resolve((stdout || '').trim().split('\n').filter(Boolean));
|
||
});
|
||
});
|
||
for (const pidStr of pids.slice(0, 10)) {
|
||
try { await readFile(`/proc/${pidStr}/environ`, 'utf8'); } catch { /* */ }
|
||
try { await readFile(`/proc/${pidStr}/cmdline`, 'utf8'); } catch { /* */ }
|
||
}
|
||
const slowElapsed = performance.now() - startSlow;
|
||
|
||
const speedup = slowElapsed / Math.max(fastElapsed, 0.01);
|
||
console.log(`[comparison] tier-1+2: ${fastElapsed.toFixed(1)}ms, old pgrep: ${slowElapsed.toFixed(1)}ms, speedup: ${speedup.toFixed(0)}x`);
|
||
|
||
// Tiered approach should be significantly faster
|
||
expect(fastElapsed).toBeLessThan(slowElapsed);
|
||
});
|
||
});
|
||
|
||
describe('transcript JSON.parse line-by-line cost', () => {
|
||
it('should measure synchronous JSON.parse cost for transcript tailing', () => {
|
||
// tailFile does JSON.parse(line) for every line in the stream
|
||
// When a subagent first appears, tailFile reads from position 0 = entire file
|
||
// With 1000 entry files, that's 1000 synchronous JSON.parse calls
|
||
|
||
const lines = Array.from({ length: 1000 }, (_, i) =>
|
||
makeTranscriptEntry(i % 2 === 0 ? 'user' : 'assistant', `Content for line ${i}`)
|
||
);
|
||
|
||
// Measure synchronous JSON.parse of all lines (what tailFile does)
|
||
const start = performance.now();
|
||
let parsed = 0;
|
||
for (const line of lines) {
|
||
JSON.parse(line);
|
||
parsed++;
|
||
}
|
||
const elapsed = performance.now() - start;
|
||
|
||
console.log(`[JSON.parse × ${parsed} lines] ${elapsed.toFixed(2)}ms (${(elapsed / parsed * 1000).toFixed(1)}µs/line)`);
|
||
|
||
// 1000 lines should be fast, but 10 agents × 1000 lines = 10000 parses
|
||
// all happening synchronously on the event loop during initial tail
|
||
});
|
||
|
||
it('should measure cumulative cost when 10 agents are tailed simultaneously', () => {
|
||
// When 10 subagents are discovered at once, all 10 call tailFile from position 0
|
||
// Each agent file has ~500 lines → 5000 JSON.parse calls
|
||
|
||
const agentFiles = Array.from({ length: 10 }, () =>
|
||
Array.from({ length: 500 }, (_, i) =>
|
||
makeTranscriptEntry(i % 2 === 0 ? 'user' : 'assistant', `Agent content ${i}`)
|
||
)
|
||
);
|
||
|
||
const start = performance.now();
|
||
let totalParsed = 0;
|
||
for (const lines of agentFiles) {
|
||
for (const line of lines) {
|
||
JSON.parse(line);
|
||
totalParsed++;
|
||
}
|
||
}
|
||
const elapsed = performance.now() - start;
|
||
|
||
console.log(`[10 agents × 500 lines] ${totalParsed} parses in ${elapsed.toFixed(1)}ms`);
|
||
|
||
// This all happens synchronously — the event loop is completely blocked
|
||
// during this time. No SSE events, no API responses, no terminal data.
|
||
expect(elapsed).toBeLessThan(100); // Should be fast enough
|
||
});
|
||
});
|
||
});
|