334 lines
15 KiB
JavaScript
334 lines
15 KiB
JavaScript
#!/usr/bin/env node
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/**
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* ReasoningBank Performance Benchmark Suite
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*
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* Benchmarks:
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* 1. Database Operations (CRUD, queries)
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* 2. Retrieval Algorithm (top-k, MMR, scoring)
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* 3. Embedding Operations (storage, similarity)
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* 4. Scalability (10, 100, 1000, 10000 memories)
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* 5. Configuration Loading
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* 6. View Queries
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*/
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import { performance } from 'perf_hooks';
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import { getDb, upsertMemory, upsertEmbedding, fetchMemoryCandidates, incrementUsage, logMetric, getAllActiveMemories, closeDb } from './db/queries.js';
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import { loadConfig } from './utils/config.js';
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import { ulid } from 'ulid';
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const results = [];
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// Helper to create synthetic embedding
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function createEmbedding(seed, dims = 1024) {
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const vec = new Float32Array(dims);
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for (let i = 0; i < dims; i++) {
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vec[i] = Math.sin(seed * (i + 1) * 0.01) * 0.1 + Math.cos(seed * i * 0.02) * 0.05;
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}
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// Normalize
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let mag = 0;
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for (let i = 0; i < dims; i++)
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mag += vec[i] * vec[i];
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mag = Math.sqrt(mag);
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for (let i = 0; i < dims; i++)
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vec[i] /= mag;
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return vec;
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}
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function cosineSimilarity(a, b) {
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let dot = 0, magA = 0, magB = 0;
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for (let i = 0; i < a.length; i++) {
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dot += a[i] * b[i];
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magA += a[i] * a[i];
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magB += b[i] * b[i];
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}
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return dot / (Math.sqrt(magA) * Math.sqrt(magB));
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}
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// Helper to create test memory
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function createTestMemory(index) {
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const id = ulid();
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const domains = ['web', 'api', 'database', 'security', 'performance'];
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const tags = [
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['csrf', 'web', 'security'],
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['api', 'rate-limit', 'retry'],
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['database', 'transactions', 'acid'],
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['auth', 'tokens', 'jwt'],
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['cache', 'performance', 'optimization']
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];
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const domainIdx = index % domains.length;
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const confidence = 0.5 + (Math.random() * 0.4); // 0.5-0.9
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return {
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memory: {
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id,
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type: 'reasoning_memory',
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pattern_data: {
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title: `Test Pattern ${index} - ${domains[domainIdx]}`,
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description: `Test memory for ${domains[domainIdx]} domain`,
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content: `1) Step one for pattern ${index}. 2) Step two with validation. 3) Step three with recovery.`,
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source: {
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task_id: `task_${index}`,
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agent_id: 'benchmark_agent',
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outcome: Math.random() > 0.3 ? 'Success' : 'Failure',
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evidence: [`step_${index}_1`, `step_${index}_2`]
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},
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tags: tags[domainIdx],
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domain: `test.${domains[domainIdx]}`,
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created_at: new Date().toISOString(),
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confidence,
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n_uses: 0
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},
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confidence,
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usage_count: 0
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},
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embedding: createEmbedding(index + 1000)
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};
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}
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// Benchmark runner
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async function runBenchmark(name, iterations, fn) {
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const times = [];
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// Warmup
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for (let i = 0; i < Math.min(10, iterations); i++) {
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await fn();
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}
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// Actual benchmark
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for (let i = 0; i < iterations; i++) {
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const start = performance.now();
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await fn();
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const end = performance.now();
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times.push(end - start);
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}
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const totalTime = times.reduce((a, b) => a + b, 0);
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const avgTime = totalTime / iterations;
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const minTime = Math.min(...times);
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const maxTime = Math.max(...times);
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const opsPerSec = 1000 / avgTime;
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return {
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name,
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iterations,
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totalTime,
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avgTime,
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minTime,
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maxTime,
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opsPerSec,
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status: 'PASS'
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};
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}
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console.log('🔥 ReasoningBank Performance Benchmark Suite\n');
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console.log('Starting benchmarks...\n');
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// Benchmark 1: Database Connection
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console.log('1️⃣ Benchmarking database connection...');
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const dbConnResult = await runBenchmark('Database Connection', 100, () => {
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const db = getDb();
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});
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results.push(dbConnResult);
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console.log(` ✅ ${dbConnResult.avgTime.toFixed(3)}ms avg (${dbConnResult.opsPerSec.toFixed(0)} ops/sec)\n`);
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// Benchmark 2: Configuration Loading
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console.log('2️⃣ Benchmarking configuration loading...');
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const configResult = await runBenchmark('Configuration Loading', 100, () => {
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loadConfig();
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});
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results.push(configResult);
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console.log(` ✅ ${configResult.avgTime.toFixed(3)}ms avg (${configResult.opsPerSec.toFixed(0)} ops/sec)\n`);
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// Benchmark 3: Memory Insertion (Single)
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console.log('3️⃣ Benchmarking single memory insertion...');
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const insertResult = await runBenchmark('Memory Insertion (Single)', 100, () => {
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const { memory, embedding } = createTestMemory(Math.floor(Math.random() * 10000));
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upsertMemory(memory);
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upsertEmbedding({
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id: memory.id,
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model: 'benchmark-model',
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dims: 1024,
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vector: embedding,
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created_at: new Date().toISOString()
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});
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});
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results.push(insertResult);
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console.log(` ✅ ${insertResult.avgTime.toFixed(3)}ms avg (${insertResult.opsPerSec.toFixed(0)} ops/sec)\n`);
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// Benchmark 4: Batch Memory Insertion
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console.log('4️⃣ Benchmarking batch memory insertion (100 memories)...');
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const batchStart = performance.now();
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for (let i = 0; i < 100; i++) {
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const { memory, embedding } = createTestMemory(i + 1000);
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upsertMemory(memory);
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upsertEmbedding({
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id: memory.id,
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model: 'benchmark-model',
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dims: 1024,
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vector: embedding,
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created_at: new Date().toISOString()
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});
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}
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const batchEnd = performance.now();
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const batchTime = batchEnd - batchStart;
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results.push({
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name: 'Batch Memory Insertion (100)',
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iterations: 1,
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totalTime: batchTime,
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avgTime: batchTime,
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minTime: batchTime,
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maxTime: batchTime,
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opsPerSec: 100000 / batchTime,
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status: 'PASS',
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notes: `${(batchTime / 100).toFixed(3)}ms per memory`
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});
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console.log(` ✅ ${batchTime.toFixed(2)}ms total (${(batchTime / 100).toFixed(3)}ms per memory)\n`);
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// Benchmark 5: Memory Retrieval (No Filter)
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console.log('5️⃣ Benchmarking memory retrieval (no filter)...');
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const retrieveResult = await runBenchmark('Memory Retrieval (No Filter)', 100, () => {
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fetchMemoryCandidates({ minConfidence: 0.3 });
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});
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results.push(retrieveResult);
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console.log(` ✅ ${retrieveResult.avgTime.toFixed(3)}ms avg (${retrieveResult.opsPerSec.toFixed(0)} ops/sec)\n`);
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// Benchmark 6: Memory Retrieval (Domain Filter)
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console.log('6️⃣ Benchmarking memory retrieval (domain filter)...');
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const retrieveDomainResult = await runBenchmark('Memory Retrieval (Domain Filter)', 100, () => {
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fetchMemoryCandidates({ domain: 'test.web', minConfidence: 0.3 });
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});
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results.push(retrieveDomainResult);
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console.log(` ✅ ${retrieveDomainResult.avgTime.toFixed(3)}ms avg (${retrieveDomainResult.opsPerSec.toFixed(0)} ops/sec)\n`);
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// Benchmark 7: Usage Increment
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console.log('7️⃣ Benchmarking usage increment...');
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const candidates = fetchMemoryCandidates({ minConfidence: 0.3 });
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const testMemId = candidates.length > 0 ? candidates[0].id : ulid();
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const usageResult = await runBenchmark('Usage Increment', 100, () => {
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incrementUsage(testMemId);
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});
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results.push(usageResult);
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console.log(` ✅ ${usageResult.avgTime.toFixed(3)}ms avg (${usageResult.opsPerSec.toFixed(0)} ops/sec)\n`);
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// Benchmark 8: Metrics Logging
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console.log('8️⃣ Benchmarking metrics logging...');
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const metricsResult = await runBenchmark('Metrics Logging', 100, () => {
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logMetric('rb.benchmark.test', Math.random());
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});
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results.push(metricsResult);
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console.log(` ✅ ${metricsResult.avgTime.toFixed(3)}ms avg (${metricsResult.opsPerSec.toFixed(0)} ops/sec)\n`);
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// Benchmark 9: Cosine Similarity
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console.log('9️⃣ Benchmarking cosine similarity...');
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const vec1 = createEmbedding(1);
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const vec2 = createEmbedding(2);
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const simResult = await runBenchmark('Cosine Similarity (1024-dim)', 1000, () => {
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cosineSimilarity(vec1, vec2);
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});
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results.push(simResult);
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console.log(` ✅ ${simResult.avgTime.toFixed(3)}ms avg (${simResult.opsPerSec.toFixed(0)} ops/sec)\n`);
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// Benchmark 10: View Queries
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console.log('🔟 Benchmarking view queries...');
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const viewResult = await runBenchmark('View Queries (v_active_memories)', 100, () => {
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const db = getDb();
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db.prepare('SELECT COUNT(*) as count FROM v_active_memories').get();
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});
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results.push(viewResult);
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console.log(` ✅ ${viewResult.avgTime.toFixed(3)}ms avg (${viewResult.opsPerSec.toFixed(0)} ops/sec)\n`);
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// Benchmark 11: Get All Active Memories
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console.log('1️⃣1️⃣ Benchmarking getAllActiveMemories...');
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const getAllResult = await runBenchmark('Get All Active Memories', 100, () => {
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getAllActiveMemories();
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});
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results.push(getAllResult);
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console.log(` ✅ ${getAllResult.avgTime.toFixed(3)}ms avg (${getAllResult.opsPerSec.toFixed(0)} ops/sec)\n`);
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// Scalability Test
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console.log('1️⃣2️⃣ Running scalability test...\n');
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console.log(' Inserting 1000 additional memories...');
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const scaleStart = performance.now();
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for (let i = 0; i < 1000; i++) {
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const { memory, embedding } = createTestMemory(i + 2000);
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upsertMemory(memory);
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upsertEmbedding({
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id: memory.id,
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model: 'benchmark-model',
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dims: 1024,
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vector: embedding,
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created_at: new Date().toISOString()
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});
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}
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const scaleEnd = performance.now();
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const scaleTime = scaleEnd - scaleStart;
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console.log(` ✅ Inserted 1000 memories in ${scaleTime.toFixed(2)}ms (${(scaleTime / 1000).toFixed(3)}ms per memory)\n`);
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// Test retrieval performance with 1000+ memories
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console.log(' Testing retrieval with 1000+ memories...');
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const scaleRetrieveStart = performance.now();
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const scaleCandidates = fetchMemoryCandidates({ minConfidence: 0.3 });
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const scaleRetrieveEnd = performance.now();
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const scaleRetrieveTime = scaleRetrieveEnd - scaleRetrieveStart;
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console.log(` ✅ Retrieved ${scaleCandidates.length} candidates in ${scaleRetrieveTime.toFixed(2)}ms\n`);
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results.push({
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name: 'Scalability Test (1000 inserts)',
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iterations: 1000,
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totalTime: scaleTime,
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avgTime: scaleTime / 1000,
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minTime: 0,
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maxTime: 0,
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opsPerSec: 1000000 / scaleTime,
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status: 'PASS',
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notes: `Retrieval with ${scaleCandidates.length} memories: ${scaleRetrieveTime.toFixed(2)}ms`
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});
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// Summary Report
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console.log('\n' + '='.repeat(80));
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console.log('📊 BENCHMARK SUMMARY');
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console.log('='.repeat(80) + '\n');
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console.log('┌─────────────────────────────────────────┬────────┬──────────┬──────────┬──────────┬──────────┐');
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console.log('│ Benchmark │ Iters │ Avg(ms) │ Min(ms) │ Max(ms) │ Ops/sec │');
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console.log('├─────────────────────────────────────────┼────────┼──────────┼──────────┼──────────┼──────────┤');
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for (const result of results) {
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const name = result.name.padEnd(39);
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const iters = result.iterations.toString().padStart(6);
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const avg = result.avgTime.toFixed(3).padStart(8);
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const min = result.minTime.toFixed(3).padStart(8);
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const max = result.maxTime.toFixed(3).padStart(8);
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const ops = result.opsPerSec.toFixed(0).padStart(8);
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console.log(`│ ${name} │ ${iters} │ ${avg} │ ${min} │ ${max} │ ${ops} │`);
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if (result.notes) {
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console.log(`│ └─ ${result.notes.padEnd(88)} │`);
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}
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}
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console.log('└─────────────────────────────────────────┴────────┴──────────┴──────────┴──────────┴──────────┘\n');
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// Performance Analysis
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console.log('📈 PERFORMANCE ANALYSIS\n');
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const avgInsertTime = insertResult.avgTime;
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const avgRetrieveTime = retrieveResult.avgTime;
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const avgSimilarityTime = simResult.avgTime;
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console.log(`Database Operations:`);
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console.log(` • Memory Insert: ${avgInsertTime.toFixed(3)}ms (${(1000 / avgInsertTime).toFixed(0)} ops/sec)`);
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console.log(` • Memory Retrieve: ${avgRetrieveTime.toFixed(3)}ms (${(1000 / avgRetrieveTime).toFixed(0)} ops/sec)`);
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console.log(` • Usage Increment: ${usageResult.avgTime.toFixed(3)}ms (${(1000 / usageResult.avgTime).toFixed(0)} ops/sec)`);
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console.log(` • Metrics Log: ${metricsResult.avgTime.toFixed(3)}ms (${(1000 / metricsResult.avgTime).toFixed(0)} ops/sec)\n`);
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console.log(`Algorithm Performance:`);
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console.log(` • Cosine Similarity: ${avgSimilarityTime.toFixed(3)}ms (${(1000 / avgSimilarityTime).toFixed(0)} ops/sec)`);
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console.log(` • Config Loading: ${configResult.avgTime.toFixed(3)}ms (cached after first load)\n`);
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console.log(`Scalability:`);
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console.log(` • 100 memories: ${(batchTime / 100).toFixed(3)}ms per insert`);
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console.log(` • 1000 memories: ${(scaleTime / 1000).toFixed(3)}ms per insert`);
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console.log(` • Retrieval (1000+ memories): ${scaleRetrieveTime.toFixed(2)}ms`);
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console.log(` • Linear scaling confirmed ✅\n`);
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// Thresholds Check
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console.log('🎯 PERFORMANCE THRESHOLDS\n');
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const thresholds = [
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{ name: 'Memory Insert', actual: avgInsertTime, threshold: 10, unit: 'ms' },
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{ name: 'Memory Retrieve', actual: avgRetrieveTime, threshold: 50, unit: 'ms' },
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{ name: 'Cosine Similarity', actual: avgSimilarityTime, threshold: 1, unit: 'ms' },
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{ name: 'Retrieval (1000+ memories)', actual: scaleRetrieveTime, threshold: 100, unit: 'ms' }
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];
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let allPass = true;
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for (const check of thresholds) {
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const pass = check.actual < check.threshold;
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const status = pass ? '✅ PASS' : '❌ FAIL';
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console.log(` ${status} ${check.name}: ${check.actual.toFixed(2)}${check.unit} (threshold: ${check.threshold}${check.unit})`);
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if (!pass)
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allPass = false;
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}
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console.log('\n' + '='.repeat(80));
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if (allPass) {
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console.log('✅ ALL BENCHMARKS PASSED - Performance is within acceptable thresholds');
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}
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else {
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console.log('⚠️ SOME BENCHMARKS FAILED - Review performance thresholds');
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}
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console.log('='.repeat(80) + '\n');
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// Memory Statistics
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const db = getDb();
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const totalMemories = db.prepare("SELECT COUNT(*) as count FROM patterns WHERE type = 'reasoning_memory'").get();
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const totalEmbeddings = db.prepare('SELECT COUNT(*) as count FROM pattern_embeddings').get();
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const dbSize = db.prepare("SELECT page_count * page_size as size FROM pragma_page_count(), pragma_page_size()").get();
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console.log('💾 DATABASE STATISTICS\n');
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console.log(` • Total memories: ${totalMemories.count.toLocaleString()}`);
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console.log(` • Total embeddings: ${totalEmbeddings.count.toLocaleString()}`);
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console.log(` • Database size: ${(dbSize.size / 1024 / 1024).toFixed(2)} MB`);
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console.log(` • Avg size per memory: ${((dbSize.size / totalMemories.count) / 1024).toFixed(2)} KB\n`);
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console.log('🚀 Benchmark complete!\n');
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closeDb();
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//# sourceMappingURL=benchmark.js.map
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