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benchmark.ts17.6 kB
/** * Performance Benchmarking Suite * Measures the impact of bug fixes and P1 optimizations * * Benchmarks: * 1. Aurora Timeline Memory Efficiency (sliding window) * 2. Audio Analysis Performance (FFT windowing) * 3. SSE Broadcast Efficiency (message caching) * 4. Cache Hit Rate (domain-specific invalidation) * 5. WebSocket Subscription Lifecycle (memory leaks) */ import { performance } from 'perf_hooks'; interface BenchmarkResult { name: string; duration: number; memoryBefore: number; memoryAfter: number; memoryDelta: number; iterations: number; opsPerSecond: number; improvement?: number; } interface BenchmarkConfig { warmupIterations: number; testIterations: number; timeoutMs: number; } const DEFAULT_CONFIG: BenchmarkConfig = { warmupIterations: 10, testIterations: 100, timeoutMs: 30000 }; class BenchmarkSuite { private results: BenchmarkResult[] = []; private config: BenchmarkConfig; constructor(config: Partial<BenchmarkConfig> = {}) { this.config = { ...DEFAULT_CONFIG, ...config }; } /** * Benchmark 1: Aurora Timeline Memory Efficiency * Tests sliding window with large command queues */ async benchmarkAuroraMemory(): Promise<void> { console.log('\n📊 Benchmark 1: Aurora Timeline Memory Efficiency'); console.log('─'.repeat(50)); const MAX_QUEUE_SIZE = 5000; const LOOKAHEAD_SECONDS = 2.0; let memBefore = process.memoryUsage().heapUsed; // Simulate long timeline (10 minutes = 600 seconds) const timelineData = this.generateTimelineCommands(600 * 100); // 60,000 commands console.log(`Generated timeline with ${timelineData.length} commands`); let queuedItems = 0; const startTime = performance.now(); // Simulate sliding window execution for (let i = 0; i < timelineData.length; i++) { const currentTime = (i / 100) * (600 / 6000); // Normalize to 600 seconds const lookaheadTime = currentTime + LOOKAHEAD_SECONDS; // Filter commands within lookahead window const queuedCommands = timelineData.filter(cmd => { return cmd.timestamp >= currentTime && cmd.timestamp <= lookaheadTime; }); queuedItems = queuedCommands.length; // Verify queue stays bounded if (queuedItems > MAX_QUEUE_SIZE) { throw new Error(`Queue exceeded max size: ${queuedItems} > ${MAX_QUEUE_SIZE}`); } } const duration = performance.now() - startTime; let memAfter = process.memoryUsage().heapUsed; const result: BenchmarkResult = { name: 'Aurora Timeline Memory', duration, memoryBefore: memBefore, memoryAfter: memAfter, memoryDelta: memAfter - memBefore, iterations: timelineData.length, opsPerSecond: (timelineData.length / duration) * 1000 }; console.log(`✓ Duration: ${duration.toFixed(2)}ms`); console.log(`✓ Memory delta: ${this.formatBytes(result.memoryDelta)}`); console.log(`✓ Queue bounded to: ${MAX_QUEUE_SIZE} items (verified)`); console.log(`✓ Ops/sec: ${result.opsPerSecond.toFixed(0)}`); this.results.push(result); } /** * Benchmark 2: Audio Analysis FFT Performance * Tests Hamming window pre-computation vs per-frame computation */ async benchmarkFFTWindowing(): Promise<void> { console.log('\n📊 Benchmark 2: Audio Analysis FFT Performance'); console.log('─'.repeat(50)); const FFT_SIZE = 2048; const AUDIO_FRAMES = 86400; // 10 minute audio at 44.1kHz hop size 512 // Test 1: Per-frame window computation (baseline) let memBefore = process.memoryUsage().heapUsed; const startBaseline = performance.now(); for (let frame = 0; frame < AUDIO_FRAMES; frame++) { // Recompute window each frame (old approach) const window = new Float32Array(FFT_SIZE); for (let i = 0; i < FFT_SIZE; i++) { window[i] = 0.54 - 0.46 * Math.cos((2 * Math.PI * i) / (FFT_SIZE - 1)); } // Apply to dummy data const data = new Float32Array(FFT_SIZE); for (let i = 0; i < FFT_SIZE; i++) { data[i] *= window[i]; } } const baselineDuration = performance.now() - startBaseline; let memAfter = process.memoryUsage().heapUsed; const baselineResult: BenchmarkResult = { name: 'FFT Window (Per-Frame)', duration: baselineDuration, memoryBefore: memBefore, memoryAfter: memAfter, memoryDelta: memAfter - memBefore, iterations: AUDIO_FRAMES, opsPerSecond: (AUDIO_FRAMES / baselineDuration) * 1000 }; console.log(`✓ Baseline (per-frame): ${baselineDuration.toFixed(2)}ms`); console.log(`✓ Memory delta: ${this.formatBytes(baselineResult.memoryDelta)}`); // Test 2: Pre-computed window (optimized) memBefore = process.memoryUsage().heapUsed; const startOptimized = performance.now(); // Pre-compute once const hammingWindow = new Float32Array(FFT_SIZE); for (let i = 0; i < FFT_SIZE; i++) { hammingWindow[i] = 0.54 - 0.46 * Math.cos((2 * Math.PI * i) / (FFT_SIZE - 1)); } // Reuse window for all frames for (let frame = 0; frame < AUDIO_FRAMES; frame++) { const data = new Float32Array(FFT_SIZE); for (let i = 0; i < FFT_SIZE; i++) { data[i] *= hammingWindow[i]; } } const optimizedDuration = performance.now() - startOptimized; memAfter = process.memoryUsage().heapUsed; const optimizedResult: BenchmarkResult = { name: 'FFT Window (Pre-Computed)', duration: optimizedDuration, memoryBefore: memBefore, memoryAfter: memAfter, memoryDelta: memAfter - memBefore, iterations: AUDIO_FRAMES, opsPerSecond: (AUDIO_FRAMES / optimizedDuration) * 1000, improvement: ((baselineDuration - optimizedDuration) / baselineDuration) * 100 }; console.log(`✓ Optimized (pre-computed): ${optimizedDuration.toFixed(2)}ms`); console.log(`✓ Memory delta: ${this.formatBytes(optimizedResult.memoryDelta)}`); console.log(`✓ Improvement: ${optimizedResult.improvement!.toFixed(1)}%`); console.log(`✓ Speedup: ${(baselineDuration / optimizedDuration).toFixed(1)}x faster`); this.results.push(baselineResult); this.results.push(optimizedResult); } /** * Benchmark 3: SSE Message Serialization * Tests single vs per-client JSON serialization */ async benchmarkSSEBroadcast(): Promise<void> { console.log('\n📊 Benchmark 3: SSE Broadcast Efficiency'); console.log('─'.repeat(50)); const NUM_CLIENTS = 1000; const NUM_BROADCASTS = 1000; const MESSAGE = { type: 'state_changed', data: { entity_id: 'light.bedroom', new_state: { state: 'on', brightness: 255, attributes: {} }, old_state: { state: 'off', brightness: 0, attributes: {} } }, timestamp: new Date().toISOString() }; // Test 1: Per-client serialization (baseline) let memBefore = process.memoryUsage().heapUsed; const startBaseline = performance.now(); let serializedCount = 0; for (let broadcast = 0; broadcast < NUM_BROADCASTS; broadcast++) { for (let client = 0; client < NUM_CLIENTS; client++) { // Serialize for each client (old approach) JSON.stringify(MESSAGE); serializedCount++; } } const baselineDuration = performance.now() - startBaseline; let memAfter = process.memoryUsage().heapUsed; const baselineResult: BenchmarkResult = { name: 'SSE Broadcast (Per-Client)', duration: baselineDuration, memoryBefore: memBefore, memoryAfter: memAfter, memoryDelta: memAfter - memBefore, iterations: NUM_BROADCASTS * NUM_CLIENTS, opsPerSecond: (serializedCount / baselineDuration) * 1000 }; console.log(`✓ Baseline (per-client): ${baselineDuration.toFixed(2)}ms`); console.log(`✓ Serializations: ${serializedCount.toLocaleString()}`); console.log(`✓ Memory delta: ${this.formatBytes(baselineResult.memoryDelta)}`); // Test 2: Single serialization (optimized) memBefore = process.memoryUsage().heapUsed; const startOptimized = performance.now(); serializedCount = 0; for (let broadcast = 0; broadcast < NUM_BROADCASTS; broadcast++) { // Serialize once per broadcast const serialized = JSON.stringify(MESSAGE); for (let client = 0; client < NUM_CLIENTS; client++) { // Reuse serialized message (optimized approach) const _ = serialized; } serializedCount++; } const optimizedDuration = performance.now() - startOptimized; memAfter = process.memoryUsage().heapUsed; const optimizedResult: BenchmarkResult = { name: 'SSE Broadcast (Single)', duration: optimizedDuration, memoryBefore: memBefore, memoryAfter: memAfter, memoryDelta: memAfter - memBefore, iterations: NUM_BROADCASTS, opsPerSecond: (NUM_BROADCASTS / optimizedDuration) * 1000, improvement: ((baselineDuration - optimizedDuration) / baselineDuration) * 100 }; console.log(`✓ Optimized (single): ${optimizedDuration.toFixed(2)}ms`); console.log(`✓ Serializations: ${serializedCount.toLocaleString()}`); console.log(`✓ Memory delta: ${this.formatBytes(optimizedResult.memoryDelta)}`); console.log(`✓ Improvement: ${optimizedResult.improvement!.toFixed(1)}%`); console.log(`✓ CPU reduction: ${(1 - (NUM_BROADCASTS / (NUM_BROADCASTS * NUM_CLIENTS))).toFixed(1)}x`); this.results.push(baselineResult); this.results.push(optimizedResult); } /** * Benchmark 4: Cache Hit Rate * Tests domain-specific vs full cache invalidation */ async benchmarkCacheHitRate(): Promise<void> { console.log('\n📊 Benchmark 4: Cache Hit Rate Improvement'); console.log('─'.repeat(50)); const CACHE_SIZE = 1000; const ACCESS_PATTERN = 10000; // Test 1: Full cache clear on every service call (baseline) const cache1 = this.initializeCache(CACHE_SIZE); let hits1 = 0; let misses1 = 0; for (let i = 0; i < ACCESS_PATTERN; i++) { const entityId = `light.device_${i % 100}`; // Check cache if (cache1.has(entityId)) { hits1++; } else { misses1++; cache1.set(entityId, { state: 'on', brightness: 255 }); } // Simulate service call - clear ALL cache (old approach) if (i % 10 === 0) { cache1.clear(); } } const hitRate1 = (hits1 / (hits1 + misses1)) * 100; console.log(`✓ Baseline (full clear): ${hitRate1.toFixed(1)}% hit rate`); console.log(` Hits: ${hits1.toLocaleString()}, Misses: ${misses1.toLocaleString()}`); // Test 2: Domain-specific cache clear (optimized) const cache2 = this.initializeCache(CACHE_SIZE); let hits2 = 0; let misses2 = 0; for (let i = 0; i < ACCESS_PATTERN; i++) { const entityId = `light.device_${i % 100}`; // Check cache if (cache2.has(entityId)) { hits2++; } else { misses2++; cache2.set(entityId, { state: 'on', brightness: 255 }); } // Simulate service call - clear only light.* domain (optimized approach) if (i % 10 === 0) { for (const [key] of cache2.entries()) { if (key.startsWith('light.')) { cache2.delete(key); } } } } const hitRate2 = (hits2 / (hits2 + misses2)) * 100; console.log(`✓ Optimized (domain clear): ${hitRate2.toFixed(1)}% hit rate`); console.log(` Hits: ${hits2.toLocaleString()}, Misses: ${misses2.toLocaleString()}`); console.log(`✓ Improvement: ${(hitRate2 - hitRate1).toFixed(1)}% increase`); this.results.push({ name: 'Cache Hit Rate (Baseline)', duration: hitRate1, memoryBefore: 0, memoryAfter: 0, memoryDelta: 0, iterations: ACCESS_PATTERN, opsPerSecond: 0 }); this.results.push({ name: 'Cache Hit Rate (Optimized)', duration: hitRate2, memoryBefore: 0, memoryAfter: 0, memoryDelta: 0, iterations: ACCESS_PATTERN, opsPerSecond: 0, improvement: hitRate2 - hitRate1 }); } /** * Benchmark 5: WebSocket Subscription Cleanup * Tests for memory leaks in subscription management */ async benchmarkWebSocketCleanup(): Promise<void> { console.log('\n📊 Benchmark 5: WebSocket Subscription Cleanup'); console.log('─'.repeat(50)); const SUBSCRIPTION_CYCLES = 10000; // Test 1: Without proper cleanup (baseline - simulated leak) let memBefore = process.memoryUsage().heapUsed; const subscriptions1: Map<number, any> = new Map(); for (let i = 0; i < SUBSCRIPTION_CYCLES; i++) { const subscriptionId = i; const handler = () => {}; // Subscribe subscriptions1.set(subscriptionId, handler); // Unsubscribe - but simulate missed cleanup (baseline) // Intentionally don't delete to show memory accumulation if (i > 0 && i % 100 === 0) { // Only clean up every 100th subscription (simulating leaks) subscriptions1.delete(subscriptionId - 100); } } let memAfter = process.memoryUsage().heapUsed; const leakyDelta = memAfter - memBefore; console.log(`✓ Baseline (with leaks): ${subscriptions1.size.toLocaleString()} subscriptions`); console.log(`✓ Memory: ${this.formatBytes(leakyDelta)}`); // Test 2: With proper cleanup (optimized) memBefore = process.memoryUsage().heapUsed; const subscriptions2: Map<number, any> = new Map(); for (let i = 0; i < SUBSCRIPTION_CYCLES; i++) { const subscriptionId = i; const handler = () => {}; // Subscribe subscriptions2.set(subscriptionId, handler); // Unsubscribe - proper cleanup (optimized) subscriptions2.delete(subscriptionId); } memAfter = process.memoryUsage().heapUsed; const cleanDelta = memAfter - memBefore; console.log(`✓ Optimized (no leaks): ${subscriptions2.size.toLocaleString()} subscriptions`); console.log(`✓ Memory: ${this.formatBytes(cleanDelta)}`); console.log(`✓ Memory saved: ${this.formatBytes(leakyDelta - cleanDelta)}`); console.log(`✓ Improvement: ${((leakyDelta - cleanDelta) / leakyDelta * 100).toFixed(1)}%`); this.results.push({ name: 'WebSocket (With Leaks)', duration: leakyDelta, memoryBefore: 0, memoryAfter: leakyDelta, memoryDelta: leakyDelta, iterations: SUBSCRIPTION_CYCLES, opsPerSecond: 0 }); this.results.push({ name: 'WebSocket (No Leaks)', duration: cleanDelta, memoryBefore: 0, memoryAfter: cleanDelta, memoryDelta: cleanDelta, iterations: SUBSCRIPTION_CYCLES, opsPerSecond: 0, improvement: ((leakyDelta - cleanDelta) / leakyDelta) * 100 }); } /** * Run all benchmarks */ async runAll(): Promise<void> { console.log('\n🚀 Performance Benchmarking Suite'); console.log('═'.repeat(50)); console.log(`Started: ${new Date().toISOString()}`); try { await this.benchmarkAuroraMemory(); await this.benchmarkFFTWindowing(); await this.benchmarkSSEBroadcast(); await this.benchmarkCacheHitRate(); await this.benchmarkWebSocketCleanup(); this.printSummary(); } catch (error) { console.error('❌ Benchmark failed:', error); process.exit(1); } } /** * Print summary report */ private printSummary(): void { console.log('\n📋 Summary Report'); console.log('═'.repeat(50)); const improvements = this.results.filter(r => r.improvement !== undefined); if (improvements.length > 0) { console.log('\n✨ Performance Improvements:'); improvements.forEach(result => { if (result.improvement !== undefined) { console.log(` • ${result.name}: +${result.improvement.toFixed(1)}% faster`); } }); } console.log('\n📊 Detailed Results:'); this.results.forEach(result => { console.log(`\n${result.name}`); console.log(` Duration: ${result.duration.toFixed(2)}ms`); console.log(` Operations: ${result.iterations.toLocaleString()}`); console.log(` Ops/sec: ${result.opsPerSecond.toFixed(0)}`); if (result.memoryDelta !== 0) { console.log(` Memory delta: ${this.formatBytes(result.memoryDelta)}`); } }); console.log('\n✅ Benchmarking Complete'); console.log(`Ended: ${new Date().toISOString()}`); } /** * Helper: Format bytes to human readable */ private formatBytes(bytes: number): string { const mb = bytes / 1024 / 1024; if (mb > 1) return `${mb.toFixed(2)} MB`; const kb = bytes / 1024; return `${kb.toFixed(2)} KB`; } /** * Helper: Generate timeline commands */ private generateTimelineCommands(count: number): Array<{ timestamp: number }> { const commands = []; for (let i = 0; i < count; i++) { commands.push({ timestamp: (i / count) * 600 // Spread over 600 seconds }); } return commands; } /** * Helper: Initialize cache with sample data */ private initializeCache(size: number): Map<string, any> { const cache = new Map(); for (let i = 0; i < size; i++) { const domain = ['light', 'switch', 'climate', 'cover'][Math.floor(i / (size / 4))]; const key = `${domain}.device_${i}`; cache.set(key, { state: 'on', attributes: {} }); } return cache; } } // Run benchmarks const suite = new BenchmarkSuite({ testIterations: 100 }); suite.runAll().catch(console.error);

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