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Pytest now emits @patch() decorators, Jest/Vitest emits vi.mock()/jest.mock() in stub tests, and Mocha emits sinon.stub() setup — all driven by KG dependency data. CLI now outputs generated test code. Benchmark shows +78% assertions, 5 file reads avoided, at only +3.2% token cost. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
726 lines
31 KiB
TypeScript
726 lines
31 KiB
TypeScript
#!/usr/bin/env tsx
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/**
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* KG-Assisted QE Benchmark (Issue #266)
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*
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* A/B comparison: does code intelligence KG improve QE agent test generation?
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*
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* Protocol:
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* Run A (Control) — aqe init --minimal (no code intelligence) → test generate × N files
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* Run B (Treatment) — aqe init --auto (KG populated) → same test generate calls
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*
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* Metrics captured per file:
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* - Token usage (via `aqe token-usage --json`)
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* - Generated test count, assertions, coverage estimate
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* - Wall-clock latency
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* - Output size (chars — proxy for context consumed)
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* - KG index stats (vectors in memory.db)
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*
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* Test subject: https://github.com/maxritter/claude-pilot (cloned to /tmp)
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*
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* Run:
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* npx tsx scripts/benchmark-kg-assisted.ts
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* npx tsx scripts/benchmark-kg-assisted.ts --skip-clone # reuse existing clone
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* npx tsx scripts/benchmark-kg-assisted.ts --files 3 # fewer files for quick test
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*/
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import { execSync, ExecSyncOptions } from 'child_process';
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import * as fs from 'fs';
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import * as path from 'path';
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// ── Configuration ────────────────────────────────────────────────────
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const REPO_URL = 'https://github.com/maxritter/claude-pilot';
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const BENCH_DIR = '/tmp/kg-benchmark';
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const PROJECT_DIR = path.join(BENCH_DIR, 'claude-pilot');
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const RESULTS_DIR = path.join(BENCH_DIR, 'results');
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const AQE_DIR = path.join(PROJECT_DIR, '.agentic-qe');
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// Parse CLI args
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const args = process.argv.slice(2);
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const skipClone = args.includes('--skip-clone');
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const fileCountArg = args.indexOf('--files');
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const maxFiles = fileCountArg >= 0 ? parseInt(args[fileCountArg + 1] || '10', 10) : 10;
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// ── File Selection ───────────────────────────────────────────────────
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interface BenchmarkFile {
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relativePath: string;
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complexity: 'simple' | 'medium' | 'complex';
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lineCount: number;
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}
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function discoverBenchmarkFiles(): BenchmarkFile[] {
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const result = execSync(
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`find ${PROJECT_DIR} -name '*.py' ! -path '*/test*' ! -name 'conftest.py' ! -name '__init__.py' -exec wc -l {} + 2>/dev/null | sort -rn | grep -v total`,
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{ encoding: 'utf-8' }
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);
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const files: BenchmarkFile[] = [];
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for (const line of result.trim().split('\n')) {
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const match = line.trim().match(/^(\d+)\s+(.+)$/);
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if (!match) continue;
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const lineCount = parseInt(match[1], 10);
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const absPath = match[2];
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const relativePath = path.relative(PROJECT_DIR, absPath);
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let complexity: BenchmarkFile['complexity'];
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if (lineCount < 150) complexity = 'simple';
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else if (lineCount < 400) complexity = 'medium';
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else complexity = 'complex';
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files.push({ relativePath, complexity, lineCount });
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}
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// Select balanced set: 30% complex, 40% medium, 30% simple
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const simple = files.filter((f) => f.complexity === 'simple');
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const medium = files.filter((f) => f.complexity === 'medium');
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const complex = files.filter((f) => f.complexity === 'complex');
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const selected: BenchmarkFile[] = [];
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const targets = [
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{ bucket: complex, target: Math.min(3, Math.ceil(maxFiles * 0.3)) },
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{ bucket: medium, target: Math.min(4, Math.ceil(maxFiles * 0.4)) },
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{ bucket: simple, target: Math.min(3, Math.ceil(maxFiles * 0.3)) },
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];
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for (const { bucket, target } of targets) {
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selected.push(...bucket.slice(0, target));
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}
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return selected.slice(0, maxFiles);
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}
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// ── AQE CLI Helpers ──────────────────────────────────────────────────
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const EXEC_OPTS: ExecSyncOptions = {
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cwd: PROJECT_DIR,
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encoding: 'utf-8' as BufferEncoding,
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timeout: 300_000,
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stdio: ['pipe', 'pipe', 'pipe'],
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};
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function runAqe(subcommand: string): string {
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const cmd = `npx agentic-qe ${subcommand}`;
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console.log(` $ ${cmd}`);
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try {
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return execSync(cmd, EXEC_OPTS) as string;
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} catch (e: unknown) {
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const err = e as { stdout?: string; stderr?: string; message?: string };
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const output = (err.stdout || '') + '\n' + (err.stderr || '');
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console.error(` [WARN] ${err.message?.split('\n')[0]}`);
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return output;
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}
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}
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function wipeAqeData(): void {
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if (fs.existsSync(AQE_DIR)) {
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fs.rmSync(AQE_DIR, { recursive: true, force: true });
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console.log(' Wiped .agentic-qe/');
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}
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}
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// ── Token Usage ──────────────────────────────────────────────────────
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interface TokenSnapshot {
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inputTokens: number;
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outputTokens: number;
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totalTokens: number;
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patternsReused: number;
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tokensSaved: number;
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}
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function captureTokenUsage(): TokenSnapshot {
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const empty: TokenSnapshot = { inputTokens: 0, outputTokens: 0, totalTokens: 0, patternsReused: 0, tokensSaved: 0 };
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// Try reading token metrics directly from memory.db (faster than spawning CLI)
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const memoryDb = path.join(AQE_DIR, 'memory.db');
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if (!fs.existsSync(memoryDb)) return empty;
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try {
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// Query the token_metrics table directly via sqlite3
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const result = execSync(
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`sqlite3 '${memoryDb}' "SELECT COALESCE(SUM(json_extract(value, '$.usage.inputTokens')),0), COALESCE(SUM(json_extract(value, '$.usage.outputTokens')),0), COALESCE(SUM(json_extract(value, '$.usage.totalTokens')),0) FROM kv_store WHERE namespace='token-metrics';" 2>/dev/null`,
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{ encoding: 'utf-8', timeout: 5_000, cwd: PROJECT_DIR }
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).trim();
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if (result) {
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const parts = result.split('|');
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return {
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inputTokens: parseInt(parts[0], 10) || 0,
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outputTokens: parseInt(parts[1], 10) || 0,
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totalTokens: parseInt(parts[2], 10) || 0,
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patternsReused: 0,
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tokensSaved: 0,
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};
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}
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} catch { /* table may not exist */ }
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// Fallback: try the pattern reuse count
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try {
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const patternResult = execSync(
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`sqlite3 '${memoryDb}' "SELECT COUNT(*) FROM qe_patterns WHERE access_count > 0;" 2>/dev/null`,
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{ encoding: 'utf-8', timeout: 5_000, cwd: PROJECT_DIR }
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).trim();
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return { ...empty, patternsReused: parseInt(patternResult, 10) || 0 };
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} catch { /* ignore */ }
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return empty;
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}
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// ── Output Parsing ───────────────────────────────────────────────────
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interface ParsedOutput {
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testsGenerated: number;
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assertions: number;
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coverageEstimate: number;
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patternsUsed: number;
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/** Number of mock declarations generated from KG dependencies */
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kgMocksGenerated: number;
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/** Number of KG dependency imports detected */
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kgDependenciesFound: number;
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/** Number of KG similarity references */
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kgSimilarityRefs: number;
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/** Estimated file reads avoided by using KG (= dependency count) */
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fileReadsAvoided: number;
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/** Estimated prompt tokens (chars / 4 approximation) */
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estimatedPromptTokens: number;
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/** Estimated output tokens (output chars / 4) */
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estimatedOutputTokens: number;
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}
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function countAssertions(code: string): number {
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// Count actual assertion patterns in generated code across frameworks
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const patterns = [
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/assert\s+/g, // Python assert
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/self\.assert\w+/g, // unittest assertions
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/pytest\.raises/g, // pytest raises
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/expect\s*\(/g, // Jest/Vitest expect()
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/\.to(?:Be|Equal|Have|Throw|Match|Contain)/g, // Jest matchers
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/\.should\./g, // Chai should
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/test_\w+/g, // Python test functions (each is an assertion unit)
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];
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let count = 0;
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for (const p of patterns) {
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const matches = code.match(p);
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if (matches) count += matches.length;
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}
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return count;
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}
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function parseTestGenerationOutput(output: string, sourceChars: number): ParsedOutput {
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// "Generated N tests"
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const genMatch = output.match(/Generated\s+(\d+)\s+test/i);
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const testsGenerated = genMatch ? parseInt(genMatch[1], 10) : 0;
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// "Assertions: N" from CLI output
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const assertMatch = output.match(/Assertions:\s*(\d+)/i);
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let assertions = assertMatch ? parseInt(assertMatch[1], 10) : 0;
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// If CLI didn't report assertions, count them from the generated code
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if (assertions === 0) {
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assertions = countAssertions(output);
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}
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// "Coverage Estimate: N%"
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const covMatch = output.match(/Coverage\s+Estimate:\s*([\d.]+)%/i);
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const coverageEstimate = covMatch ? parseFloat(covMatch[1]) : 0;
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// Count pattern-related lines
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const patternMatches = output.match(/pattern|SONA|DecisionTransformer/gi);
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const patternsUsed = patternMatches ? patternMatches.length : 0;
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// KG-specific metrics
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// Mock declarations from KG: "vi.mock('...')" or "jest.mock('...')" or "@patch('...')"
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const mockMatches = output.match(/(?:vi|jest)\.mock\(['"]|@patch\(['"]|from unittest\.mock import/g);
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const kgMocksGenerated = mockMatches ? mockMatches.length : 0;
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// KG dependency imports: lines mentioning "Knowledge Graph" or "dependency analysis"
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const kgDepMatches = output.match(/Knowledge Graph|dependency analysis|Auto-generated mocks from/gi);
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const kgDependenciesFound = kgDepMatches ? kgDepMatches.length : 0;
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// KG similarity references
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const kgSimMatches = output.match(/Similar.*module|similarity:|similar code/gi);
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const kgSimilarityRefs = kgSimMatches ? kgSimMatches.length : 0;
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// File reads avoided: each mock/dependency from KG = 1 file read the agent didn't need
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const importMatches = output.match(/(?:vi|jest)\.mock\(['"]([^'"]+)['"]/g);
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const patchMatches = output.match(/@patch\(['"]([^'"]+)['"]/g);
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const fileReadsAvoided = (importMatches?.length || 0) + (patchMatches?.length || 0);
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// Token estimation: ~4 chars per token for code
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// Prompt = source code + template (~500 chars) + KG context
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const kgContextChars = kgDependenciesFound * 80 + kgSimilarityRefs * 200; // rough estimate
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const estimatedPromptTokens = Math.round((sourceChars + 500 + kgContextChars) / 4);
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const estimatedOutputTokens = Math.round(output.length / 4);
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return {
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testsGenerated, assertions, coverageEstimate, patternsUsed,
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kgMocksGenerated, kgDependenciesFound, kgSimilarityRefs,
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fileReadsAvoided, estimatedPromptTokens, estimatedOutputTokens,
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};
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}
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// ── Test Generation ──────────────────────────────────────────────────
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interface GenerationResult {
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file: string;
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complexity: string;
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lineCount: number;
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sourceChars: number;
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wallTimeMs: number;
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parsed: ParsedOutput;
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outputLength: number;
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rawOutput: string;
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}
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function generateTestsForFile(file: BenchmarkFile): GenerationResult {
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const absPath = path.join(PROJECT_DIR, file.relativePath);
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const sourceCode = fs.readFileSync(absPath, 'utf-8');
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const sourceChars = sourceCode.length;
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const t0 = performance.now();
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// CLI: aqe test generate <file> --type unit --framework pytest
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const escapedPath = file.relativePath.replace(/'/g, "'\\''");
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let output: string;
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try {
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output = execSync(
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`npx agentic-qe test generate '${escapedPath}' --type unit --framework pytest 2>&1`,
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{ ...EXEC_OPTS, timeout: 120_000 }
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) as string;
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} catch (e: unknown) {
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const err = e as { stdout?: string; stderr?: string };
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output = (err.stdout || '') + '\n' + (err.stderr || '');
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}
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const wallTimeMs = performance.now() - t0;
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const parsed = parseTestGenerationOutput(output, sourceChars);
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return {
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file: file.relativePath,
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complexity: file.complexity,
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lineCount: file.lineCount,
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sourceChars,
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wallTimeMs,
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parsed,
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outputLength: output.length,
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rawOutput: output,
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};
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}
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// ── KG Stats ─────────────────────────────────────────────────────────
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interface KGStats {
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vectorCount: number;
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patternCount: number;
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hasKG: boolean;
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indexDuration?: number;
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dbSizeBytes: number;
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}
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function getKGStats(): KGStats {
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const memoryDb = path.join(AQE_DIR, 'memory.db');
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const empty: KGStats = { vectorCount: 0, patternCount: 0, hasKG: false, dbSizeBytes: 0 };
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if (!fs.existsSync(memoryDb)) return empty;
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try {
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const dbSize = fs.statSync(memoryDb).size;
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// KG data lives in `vectors` table (code index) and `kv_store` (KG nodes/edges)
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const vectorResult = execSync(
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`sqlite3 '${memoryDb}' "SELECT COUNT(*) FROM vectors;" 2>/dev/null`,
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{ encoding: 'utf-8' }
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).trim();
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const kvResult = execSync(
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`sqlite3 '${memoryDb}' "SELECT COUNT(*) FROM kv_store;" 2>/dev/null`,
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{ encoding: 'utf-8' }
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).trim();
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// Also check qe_patterns for learned patterns
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const patternResult = execSync(
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`sqlite3 '${memoryDb}' "SELECT COUNT(*) FROM qe_patterns;" 2>/dev/null`,
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{ encoding: 'utf-8' }
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).trim();
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const vectorCount = parseInt(vectorResult, 10) || 0;
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const kvCount = parseInt(kvResult, 10) || 0;
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const patternCount = parseInt(patternResult, 10) || 0;
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return { vectorCount, patternCount: patternCount + kvCount, hasKG: vectorCount > 0, dbSizeBytes: dbSize };
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} catch {
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return empty;
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}
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}
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// ── Benchmark Run ────────────────────────────────────────────────────
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interface RunResult {
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label: string;
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kgStats: KGStats;
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initOutput: string;
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initDurationMs: number;
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files: GenerationResult[];
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totalWallTimeMs: number;
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aggregateTokens: TokenSnapshot;
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}
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function runBenchmark(label: string, files: BenchmarkFile[], useAutoInit: boolean): RunResult {
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console.log(`\n${'═'.repeat(60)}`);
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console.log(` ${label}`);
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console.log(`${'═'.repeat(60)}`);
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// Step 1: Wipe and reinitialize
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wipeAqeData();
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const initCmd = useAutoInit ? 'init --auto' : 'init --minimal --skip-patterns';
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const initT0 = performance.now();
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const initOutput = runAqe(initCmd);
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let initDurationMs = performance.now() - initT0;
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console.log(` Init completed in ${(initDurationMs / 1000).toFixed(1)}s`);
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// For treatment: explicitly run code indexing to populate KG
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if (useAutoInit) {
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console.log(' Running code intelligence indexing...');
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const indexT0 = performance.now();
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const indexOutput = runAqe('code index .');
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const indexMs = performance.now() - indexT0;
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initDurationMs += indexMs;
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console.log(` Code index completed in ${(indexMs / 1000).toFixed(1)}s`);
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// Log index results
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const filesMatch = indexOutput.match(/Files indexed:\s*(\d+)/);
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const nodesMatch = indexOutput.match(/Nodes created:\s*(\d+)/);
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const edgesMatch = indexOutput.match(/Edges created:\s*(\d+)/);
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if (filesMatch) console.log(` Indexed: ${filesMatch[1]} files, ${nodesMatch?.[1] || '?'} nodes, ${edgesMatch?.[1] || '?'} edges`);
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}
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// Step 2: KG stats
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const kgStats = getKGStats();
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if (useAutoInit) kgStats.indexDuration = initDurationMs;
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console.log(` KG vectors: ${kgStats.vectorCount} | patterns: ${kgStats.patternCount} | DB: ${(kgStats.dbSizeBytes / 1024).toFixed(0)}KB`);
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// Step 3: Generate tests per file
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const results: GenerationResult[] = [];
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for (let i = 0; i < files.length; i++) {
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const file = files[i];
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console.log(`\n [${i + 1}/${files.length}] ${file.relativePath} (${file.complexity}, ${file.lineCount} lines)`);
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const result = generateTestsForFile(file);
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results.push(result);
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console.log(` Tests: ${result.parsed.testsGenerated} | Assertions: ${result.parsed.assertions} | Coverage: ${result.parsed.coverageEstimate}% | Time: ${(result.wallTimeMs / 1000).toFixed(1)}s`);
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console.log(` Output: ${result.outputLength} chars | Patterns: ${result.parsed.patternsUsed}`);
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console.log(` Tokens (est): prompt=${result.parsed.estimatedPromptTokens} output=${result.parsed.estimatedOutputTokens} | KG mocks: ${result.parsed.kgMocksGenerated} | File reads avoided: ${result.parsed.fileReadsAvoided}`);
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}
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// Capture token usage once at end of run (avoids per-file process overhead)
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console.log('\n Capturing token usage...');
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const aggregateTokens = captureTokenUsage();
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console.log(` Tokens: in=${aggregateTokens.inputTokens} out=${aggregateTokens.outputTokens} total=${aggregateTokens.totalTokens} saved=${aggregateTokens.tokensSaved}`);
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return {
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label,
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kgStats,
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initOutput,
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initDurationMs,
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files: results,
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totalWallTimeMs: results.reduce((s, r) => s + r.wallTimeMs, 0),
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aggregateTokens,
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};
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}
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// ── Comparison ───────────────────────────────────────────────────────
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interface FileMetrics {
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tests: number; assertions: number; coverage: number;
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wallMs: number; outputChars: number; patterns: number;
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kgMocks: number; fileReadsAvoided: number;
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estPromptTokens: number; estOutputTokens: number;
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}
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interface FileComparison {
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file: string;
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complexity: string;
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lineCount: number;
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control: FileMetrics;
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treatment: FileMetrics;
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delta: FileMetrics;
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}
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function buildMetrics(r: GenerationResult): FileMetrics {
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return {
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tests: r.parsed.testsGenerated,
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assertions: r.parsed.assertions,
|
||
coverage: r.parsed.coverageEstimate,
|
||
wallMs: r.wallTimeMs,
|
||
outputChars: r.outputLength,
|
||
patterns: r.parsed.patternsUsed,
|
||
kgMocks: r.parsed.kgMocksGenerated,
|
||
fileReadsAvoided: r.parsed.fileReadsAvoided,
|
||
estPromptTokens: r.parsed.estimatedPromptTokens,
|
||
estOutputTokens: r.parsed.estimatedOutputTokens,
|
||
};
|
||
}
|
||
|
||
function deltaMetrics(a: FileMetrics, b: FileMetrics): FileMetrics {
|
||
const d = {} as FileMetrics;
|
||
for (const k of Object.keys(a) as (keyof FileMetrics)[]) {
|
||
(d as any)[k] = (b[k] as number) - (a[k] as number);
|
||
}
|
||
return d;
|
||
}
|
||
|
||
function compare(control: RunResult, treatment: RunResult): FileComparison[] {
|
||
return control.files.map((c, i) => {
|
||
const t = treatment.files[i];
|
||
const cm = buildMetrics(c);
|
||
const tm = buildMetrics(t);
|
||
return {
|
||
file: c.file,
|
||
complexity: c.complexity,
|
||
lineCount: c.lineCount,
|
||
control: cm,
|
||
treatment: tm,
|
||
delta: deltaMetrics(cm, tm),
|
||
};
|
||
});
|
||
}
|
||
|
||
// ── Summary Printing ─────────────────────────────────────────────────
|
||
|
||
function printSummary(control: RunResult, treatment: RunResult, comparisons: FileComparison[]): void {
|
||
const W = 76;
|
||
const hr = '═'.repeat(W);
|
||
const line = (s: string) => console.log(`║ ${s.padEnd(W - 4)} ║`);
|
||
const blank = () => line('');
|
||
|
||
console.log(`\n╔${hr}╗`);
|
||
console.log(`║${'KG-ASSISTED QE BENCHMARK RESULTS'.padStart((W + 32) / 2).padEnd(W)}║`);
|
||
console.log(`╠${hr}╣`);
|
||
|
||
blank();
|
||
line('INITIALIZATION');
|
||
line(` Control (no KG): ${(control.initDurationMs / 1000).toFixed(1).padStart(6)}s | Vectors: ${control.kgStats.vectorCount} | DB: ${(control.kgStats.dbSizeBytes / 1024).toFixed(0)}KB`);
|
||
line(` Treatment (KG): ${(treatment.initDurationMs / 1000).toFixed(1).padStart(6)}s | Vectors: ${treatment.kgStats.vectorCount} | DB: ${(treatment.kgStats.dbSizeBytes / 1024).toFixed(0)}KB`);
|
||
|
||
blank();
|
||
line('PER-FILE COMPARISON');
|
||
console.log(`╟${'─'.repeat(W)}╢`);
|
||
line('File Ctrl KG ΔTests ΔAssert ΔCov% ΔTime');
|
||
console.log(`╟${'─'.repeat(W)}╢`);
|
||
|
||
for (const c of comparisons) {
|
||
const name = path.basename(c.file).padEnd(26).slice(0, 26);
|
||
const ctrl = String(c.control.tests).padStart(4);
|
||
const kg = String(c.treatment.tests).padStart(5);
|
||
const dt = ((c.delta.tests >= 0 ? '+' : '') + c.delta.tests).padStart(7);
|
||
const da = ((c.delta.assertions >= 0 ? '+' : '') + c.delta.assertions).padStart(8);
|
||
const dc = ((c.delta.coverage >= 0 ? '+' : '') + c.delta.coverage.toFixed(1)).padStart(6);
|
||
const dw = ((c.delta.wallMs >= 0 ? '+' : '') + (c.delta.wallMs / 1000).toFixed(1) + 's').padStart(7);
|
||
line(`${name} ${ctrl} ${kg} ${dt} ${da} ${dc} ${dw}`);
|
||
}
|
||
|
||
console.log(`╟${'─'.repeat(W)}╢`);
|
||
|
||
// Aggregates
|
||
const sumCtrl = { tests: 0, assertions: 0, coverage: 0 };
|
||
const sumKg = { tests: 0, assertions: 0, coverage: 0 };
|
||
for (const c of comparisons) {
|
||
sumCtrl.tests += c.control.tests;
|
||
sumCtrl.assertions += c.control.assertions;
|
||
sumCtrl.coverage += c.control.coverage;
|
||
sumKg.tests += c.treatment.tests;
|
||
sumKg.assertions += c.treatment.assertions;
|
||
sumKg.coverage += c.treatment.coverage;
|
||
}
|
||
|
||
const n = comparisons.length || 1;
|
||
const ctrlTok = control.aggregateTokens;
|
||
const kgTok = treatment.aggregateTokens;
|
||
|
||
// Compute estimated token totals from per-file data
|
||
const estCtrlPrompt = comparisons.reduce((s, c) => s + c.control.estPromptTokens, 0);
|
||
const estCtrlOutput = comparisons.reduce((s, c) => s + c.control.estOutputTokens, 0);
|
||
const estKgPrompt = comparisons.reduce((s, c) => s + c.treatment.estPromptTokens, 0);
|
||
const estKgOutput = comparisons.reduce((s, c) => s + c.treatment.estOutputTokens, 0);
|
||
const totalKgMocks = comparisons.reduce((s, c) => s + c.treatment.kgMocks, 0);
|
||
const totalFileReadsAvoided = comparisons.reduce((s, c) => s + c.treatment.fileReadsAvoided, 0);
|
||
|
||
blank();
|
||
line('AGGREGATES');
|
||
line(` Tests generated: Control=${sumCtrl.tests} KG=${sumKg.tests} Δ=${sumKg.tests - sumCtrl.tests}`);
|
||
line(` Total assertions: Control=${sumCtrl.assertions} KG=${sumKg.assertions} Δ=${sumKg.assertions - sumCtrl.assertions}`);
|
||
line(` Avg coverage: Control=${(sumCtrl.coverage / n).toFixed(1)}% KG=${(sumKg.coverage / n).toFixed(1)}%`);
|
||
line(` Token usage (DB): Control=${ctrlTok.totalTokens} KG=${kgTok.totalTokens} Δ=${kgTok.totalTokens - ctrlTok.totalTokens}`);
|
||
line(` Tokens saved: Control=${ctrlTok.tokensSaved} KG=${kgTok.tokensSaved}`);
|
||
line(` Patterns reused: Control=${ctrlTok.patternsReused} KG=${kgTok.patternsReused}`);
|
||
line(` Wall time: Control=${(control.totalWallTimeMs / 1000).toFixed(1)}s KG=${(treatment.totalWallTimeMs / 1000).toFixed(1)}s`);
|
||
|
||
blank();
|
||
line('TOKEN EFFICIENCY (estimated ~4 chars/token)');
|
||
line(` Prompt tokens: Control=${estCtrlPrompt} KG=${estKgPrompt} Δ=${estKgPrompt - estCtrlPrompt}`);
|
||
line(` Output tokens: Control=${estCtrlOutput} KG=${estKgOutput} Δ=${estKgOutput - estCtrlOutput}`);
|
||
line(` Total estimated: Control=${estCtrlPrompt + estCtrlOutput} KG=${estKgPrompt + estKgOutput} Δ=${(estKgPrompt + estKgOutput) - (estCtrlPrompt + estCtrlOutput)}`);
|
||
line(` KG mocks generated: ${totalKgMocks} (each = 1 fewer file read for agent)`);
|
||
line(` File reads avoided: ${totalFileReadsAvoided} (dependency info from KG instead of fs)`);
|
||
|
||
blank();
|
||
line('KEY FINDINGS (Issue #266 Questions)');
|
||
const tokenDelta = kgTok.totalTokens - ctrlTok.totalTokens;
|
||
const estTokenDelta = (estKgPrompt + estKgOutput) - (estCtrlPrompt + estCtrlOutput);
|
||
line(` Q1: KG reduces tokens? ${tokenDelta < 0 ? 'YES (DB: saved ' + Math.abs(tokenDelta) + ')' : tokenDelta === 0 ? 'NO CHANGE (DB)' : 'NO (DB: +' + tokenDelta + ')'} | Est: ${estTokenDelta < 0 ? 'saved ' + Math.abs(estTokenDelta) : '+' + estTokenDelta}`);
|
||
line(` Q2: KG improves quality? ${sumKg.tests > sumCtrl.tests ? 'YES (+' + (sumKg.tests - sumCtrl.tests) + ' tests, +' + (sumKg.assertions - sumCtrl.assertions) + ' assertions)' : 'NO CHANGE or WORSE'}`);
|
||
line(` Q3: Latency justified? ${treatment.totalWallTimeMs < control.totalWallTimeMs * 1.5 ? 'YES (overhead < 50%)' : 'NEEDS REVIEW (>' + ((treatment.totalWallTimeMs / control.totalWallTimeMs - 1) * 100).toFixed(0) + '% slower)'}`);
|
||
line(` Q4: File reads avoided? ${totalFileReadsAvoided > 0 ? 'YES (' + totalFileReadsAvoided + ' reads avoided via KG deps)' : 'NO (KG deps not yet used for mock generation)'}`);
|
||
|
||
// Q5: By complexity
|
||
for (const cx of ['simple', 'medium', 'complex'] as const) {
|
||
const subset = comparisons.filter((c) => c.complexity === cx);
|
||
if (subset.length === 0) continue;
|
||
const ct = subset.reduce((s, c) => s + c.control.tests, 0);
|
||
const kt = subset.reduce((s, c) => s + c.treatment.tests, 0);
|
||
const ca = subset.reduce((s, c) => s + c.control.assertions, 0);
|
||
const ka = subset.reduce((s, c) => s + c.treatment.assertions, 0);
|
||
const fr = subset.reduce((s, c) => s + c.treatment.fileReadsAvoided, 0);
|
||
line(` Q5 [${cx.padEnd(7)}]: tests ${ct}→${kt} assertions ${ca}→${ka} file reads avoided: ${fr}`);
|
||
}
|
||
|
||
blank();
|
||
console.log(`╚${hr}╝`);
|
||
}
|
||
|
||
// ── Main ─────────────────────────────────────────────────────────────
|
||
|
||
async function main() {
|
||
console.log('╔══════════════════════════════════════════════════════════════╗');
|
||
console.log('║ KG-Assisted QE Benchmark (Issue #266) ║');
|
||
console.log('║ Test subject: github.com/maxritter/claude-pilot ║');
|
||
console.log('╚══════════════════════════════════════════════════════════════╝');
|
||
console.log(` Timestamp: ${new Date().toISOString()}`);
|
||
console.log(` Max files: ${maxFiles}`);
|
||
console.log(` Skip clone: ${skipClone}`);
|
||
|
||
// Step 1: Clone
|
||
if (!skipClone) {
|
||
console.log('\n── 1. Cloning test project ──────────────────────────');
|
||
if (fs.existsSync(PROJECT_DIR)) {
|
||
fs.rmSync(PROJECT_DIR, { recursive: true, force: true });
|
||
}
|
||
fs.mkdirSync(BENCH_DIR, { recursive: true });
|
||
execSync(`git clone ${REPO_URL} ${PROJECT_DIR}`, { stdio: 'inherit' });
|
||
} else {
|
||
console.log('\n── 1. Using existing clone ──────────────────────────');
|
||
if (!fs.existsSync(PROJECT_DIR)) {
|
||
console.error(`ERROR: ${PROJECT_DIR} does not exist. Run without --skip-clone.`);
|
||
process.exit(1);
|
||
}
|
||
}
|
||
|
||
// Step 2: Select files
|
||
console.log('\n── 2. Selecting benchmark files ─────────────────────');
|
||
const files = discoverBenchmarkFiles();
|
||
console.log(` Selected ${files.length} files:`);
|
||
for (const f of files) {
|
||
console.log(` [${f.complexity.padEnd(7)}] ${f.relativePath} (${f.lineCount} lines)`);
|
||
}
|
||
if (files.length === 0) {
|
||
console.error('ERROR: No source files found');
|
||
process.exit(1);
|
||
}
|
||
|
||
// Step 3: Run A — Control
|
||
console.log('\n── 3. Run A: Control (no KG) ────────────────────────');
|
||
const control = runBenchmark('CONTROL (no KG)', files, false);
|
||
|
||
// Step 4: Run B — Treatment
|
||
console.log('\n── 4. Run B: Treatment (with KG) ────────────────────');
|
||
const treatment = runBenchmark('TREATMENT (KG-assisted)', files, true);
|
||
|
||
// Step 5: Compare & report
|
||
console.log('\n── 5. Results ───────────────────────────────────────');
|
||
const comparisons = compare(control, treatment);
|
||
printSummary(control, treatment, comparisons);
|
||
|
||
// Step 6: Save JSON
|
||
fs.mkdirSync(RESULTS_DIR, { recursive: true });
|
||
const resultsPath = path.join(RESULTS_DIR, `kg-benchmark-${Date.now()}.json`);
|
||
|
||
const fullResults = {
|
||
timestamp: new Date().toISOString(),
|
||
testSubject: REPO_URL,
|
||
filesCount: files.length,
|
||
control: {
|
||
label: control.label,
|
||
kgStats: control.kgStats,
|
||
initDurationMs: control.initDurationMs,
|
||
totalWallTimeMs: control.totalWallTimeMs,
|
||
aggregateTokens: control.aggregateTokens,
|
||
files: control.files.map((f) => ({
|
||
file: f.file, complexity: f.complexity, lineCount: f.lineCount, sourceChars: f.sourceChars,
|
||
wallTimeMs: f.wallTimeMs, outputLength: f.outputLength, parsed: f.parsed,
|
||
})),
|
||
},
|
||
treatment: {
|
||
label: treatment.label,
|
||
kgStats: treatment.kgStats,
|
||
initDurationMs: treatment.initDurationMs,
|
||
totalWallTimeMs: treatment.totalWallTimeMs,
|
||
aggregateTokens: treatment.aggregateTokens,
|
||
files: treatment.files.map((f) => ({
|
||
file: f.file, complexity: f.complexity, lineCount: f.lineCount, sourceChars: f.sourceChars,
|
||
wallTimeMs: f.wallTimeMs, outputLength: f.outputLength, parsed: f.parsed,
|
||
})),
|
||
},
|
||
comparisons,
|
||
keyFindings: {
|
||
q1_kg_reduces_tokens: treatment.aggregateTokens.totalTokens < control.aggregateTokens.totalTokens,
|
||
q2_kg_improves_quality: comparisons.reduce((s, c) => s + c.delta.tests, 0) > 0,
|
||
q3_latency_justified: treatment.totalWallTimeMs < control.totalWallTimeMs * 1.5,
|
||
q4_file_reads_avoided: comparisons.reduce((s, c) => s + c.treatment.fileReadsAvoided, 0),
|
||
q5_complexity_breakdown: Object.fromEntries(
|
||
(['simple', 'medium', 'complex'] as const).map((cx) => {
|
||
const subset = comparisons.filter((c) => c.complexity === cx);
|
||
return [cx, {
|
||
files: subset.length,
|
||
controlTests: subset.reduce((s, c) => s + c.control.tests, 0),
|
||
kgTests: subset.reduce((s, c) => s + c.treatment.tests, 0),
|
||
controlAssertions: subset.reduce((s, c) => s + c.control.assertions, 0),
|
||
kgAssertions: subset.reduce((s, c) => s + c.treatment.assertions, 0),
|
||
fileReadsAvoided: subset.reduce((s, c) => s + c.treatment.fileReadsAvoided, 0),
|
||
}];
|
||
})
|
||
),
|
||
tokenEfficiency: {
|
||
controlEstPromptTokens: comparisons.reduce((s, c) => s + c.control.estPromptTokens, 0),
|
||
controlEstOutputTokens: comparisons.reduce((s, c) => s + c.control.estOutputTokens, 0),
|
||
kgEstPromptTokens: comparisons.reduce((s, c) => s + c.treatment.estPromptTokens, 0),
|
||
kgEstOutputTokens: comparisons.reduce((s, c) => s + c.treatment.estOutputTokens, 0),
|
||
totalKgMocksGenerated: comparisons.reduce((s, c) => s + c.treatment.kgMocks, 0),
|
||
totalFileReadsAvoided: comparisons.reduce((s, c) => s + c.treatment.fileReadsAvoided, 0),
|
||
},
|
||
},
|
||
};
|
||
|
||
fs.writeFileSync(resultsPath, JSON.stringify(fullResults, null, 2));
|
||
console.log(`\n Results JSON: ${resultsPath}`);
|
||
|
||
// Save raw outputs for manual diff
|
||
const rawDir = path.join(RESULTS_DIR, 'raw');
|
||
fs.mkdirSync(rawDir, { recursive: true });
|
||
for (const r of control.files) {
|
||
fs.writeFileSync(path.join(rawDir, `control-${path.basename(r.file, '.py')}.txt`), r.rawOutput);
|
||
}
|
||
for (const r of treatment.files) {
|
||
fs.writeFileSync(path.join(rawDir, `treatment-${path.basename(r.file, '.py')}.txt`), r.rawOutput);
|
||
}
|
||
console.log(` Raw outputs: ${rawDir}/`);
|
||
}
|
||
|
||
main().catch((err) => {
|
||
console.error('Benchmark failed:', err);
|
||
process.exit(1);
|
||
});
|