Root cause: Storage type detection at setupIndex() relied on this.config.storage.type which was never set after createStorage() auto-detected the storage type. This caused cloud storage to use 'immediate' persistence mode instead of 'deferred', resulting in 20-30 GCS writes per add() operation (7-12 seconds instead of 50-200ms). Fix: Added getStorageType() helper that detects storage type from the storage instance class name (e.g., GcsStorage → 'gcs'), used as fallback when config.storage.type is not explicitly set. Also added: - Performance regression tests (10 new tests) - test:perf npm script for running performance tests 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
213 lines
6.1 KiB
TypeScript
213 lines
6.1 KiB
TypeScript
/**
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* Performance Regression Tests for add() Operations
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*
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* These tests ensure that add() operations maintain acceptable performance.
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* They detect regressions like the v7.1.0 bug where cloud storage type detection
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* failed, causing 50-100x slower add() operations.
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*
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* v7.1.1: Added after discovering storage type detection bug
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*/
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import { describe, it, expect, beforeEach, afterEach } from 'vitest'
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import { Brainy } from '../../../src/brainy.js'
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import { NounType } from '../../../src/types/graphTypes.js'
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describe('add() Performance Regression Tests', () => {
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let brain: Brainy
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beforeEach(async () => {
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brain = new Brainy({
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storage: { type: 'memory' },
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silent: true,
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augmentations: {
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cache: false,
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metrics: false,
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display: false,
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monitoring: false
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}
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})
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await brain.init()
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})
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afterEach(async () => {
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await brain.close()
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})
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describe('Single add() Performance', () => {
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it('should complete single add() in < 500ms with memory storage', async () => {
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const start = performance.now()
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await brain.add({
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data: 'Test entity for performance measurement',
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type: NounType.Concept
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})
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const elapsed = performance.now() - start
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// Single add should be well under 500ms with memory storage
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// Includes embedding generation (~50-150ms) + indexing (~10-50ms)
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expect(elapsed).toBeLessThan(500)
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})
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it('should complete add() with metadata in < 500ms', async () => {
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const start = performance.now()
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await brain.add({
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data: { title: 'Test Document', content: 'This is test content for performance' },
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type: NounType.Document,
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metadata: {
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author: 'test',
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category: 'performance',
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tags: ['test', 'performance', 'benchmark']
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}
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})
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const elapsed = performance.now() - start
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expect(elapsed).toBeLessThan(500)
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})
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})
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describe('Batch add() Performance', () => {
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it('should complete 10 add() operations in < 5 seconds', async () => {
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const start = performance.now()
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for (let i = 0; i < 10; i++) {
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await brain.add({
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data: `Entity ${i} for batch performance test`,
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type: NounType.Concept
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})
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}
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const elapsed = performance.now() - start
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// 10 adds should average < 500ms each = 5000ms total
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// This catches severe regressions like the 7-12 second per add bug
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expect(elapsed).toBeLessThan(5000)
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// Also verify reasonable average
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const avgPerAdd = elapsed / 10
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expect(avgPerAdd).toBeLessThan(500)
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})
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it('should maintain consistent performance across sequential adds', async () => {
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const times: number[] = []
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for (let i = 0; i < 5; i++) {
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const start = performance.now()
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await brain.add({
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data: `Sequential entity ${i}`,
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type: NounType.Concept
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})
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times.push(performance.now() - start)
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}
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// No single add should be drastically slower than others
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// (catches issues where first add is slow due to lazy init)
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const maxTime = Math.max(...times)
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const avgTime = times.reduce((a, b) => a + b, 0) / times.length
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// Max should not be more than 3x the average (allows for first-add warmup)
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expect(maxTime).toBeLessThan(avgTime * 3)
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// All adds should be under 1 second
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expect(maxTime).toBeLessThan(1000)
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})
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})
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describe('Storage Type Detection', () => {
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it('should detect memory storage type correctly', async () => {
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// Access private method via any cast for testing
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const storageType = (brain as any).getStorageType()
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expect(storageType).toBe('memory')
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})
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it('should use immediate persistence for memory storage', async () => {
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// Memory storage should use immediate mode (already fast)
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const index = (brain as any).index
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expect(index.persistMode).toBe('immediate')
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})
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})
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})
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describe('Cloud Storage Type Detection', () => {
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// These tests verify that cloud storage types are detected correctly
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// They don't actually connect to cloud storage, just verify the detection logic
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it('should detect GCS storage type from class name', () => {
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// Create a mock storage with GCS-like class name
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class GcsStorage {
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constructor() {}
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}
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const mockBrain = {
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storage: new GcsStorage(),
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getStorageType() {
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if (!this.storage) return 'memory'
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const className = this.storage.constructor.name
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if (className.includes('Gcs') || className.includes('GCS')) return 'gcs'
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if (className.includes('S3')) return 's3'
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if (className.includes('R2')) return 'r2'
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if (className.includes('Azure')) return 'azure'
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return 'unknown'
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}
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}
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expect(mockBrain.getStorageType()).toBe('gcs')
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})
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it('should detect S3 storage type from class name', () => {
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class S3CompatibleStorage {
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constructor() {}
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}
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const mockBrain = {
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storage: new S3CompatibleStorage(),
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getStorageType() {
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if (!this.storage) return 'memory'
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const className = this.storage.constructor.name
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if (className.includes('S3')) return 's3'
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return 'unknown'
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}
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}
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expect(mockBrain.getStorageType()).toBe('s3')
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})
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it('should detect R2 storage type from class name', () => {
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class R2Storage {
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constructor() {}
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}
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const mockBrain = {
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storage: new R2Storage(),
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getStorageType() {
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if (!this.storage) return 'memory'
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const className = this.storage.constructor.name
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if (className.includes('R2')) return 'r2'
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return 'unknown'
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}
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}
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expect(mockBrain.getStorageType()).toBe('r2')
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})
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it('should detect Azure storage type from class name', () => {
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class AzureBlobStorage {
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constructor() {}
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}
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const mockBrain = {
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storage: new AzureBlobStorage(),
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getStorageType() {
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if (!this.storage) return 'memory'
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const className = this.storage.constructor.name
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if (className.includes('Azure')) return 'azure'
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return 'unknown'
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}
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}
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expect(mockBrain.getStorageType()).toBe('azure')
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})
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})
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