brainy/tests/unit/performance/add-performance.test.ts
David Snelling d1db3510be refactor: remove augmentation system and semantic type matching
Remove the entire augmentation pipeline infrastructure (52 files,
~15,000 lines) and the semantic type matching system. These were
unused middleware layers adding complexity without value.

What was removed:
- src/augmentations/ directory (all augmentation implementations)
- src/augmentationManager.ts (pipeline orchestrator)
- src/types/augmentations.ts, src/types/pipelineTypes.ts
- src/shared/default-augmentations.ts
- Semantic type suggestion (BrainyTypes.suggestNoun/suggestVerb)
- src/utils/typeMatching/ (embedding-based type matcher)

What was preserved by relocating:
- Import handlers (CSV, PDF, Excel) -> src/importers/handlers/
- NeuralImportAugmentation -> src/cortex/neuralImportAugmentation.ts
- Type matching utilities -> heuristic inference in consumers

What was simplified:
- brainy.ts: operations call storage directly (no execute() wrapper)
- IntegrationBase: standalone class (no BaseAugmentation parent)
- BrainyTypes: validation-only (nouns, verbs, isValid*, get*)
- Pipeline: direct execution (no augmentation interception)
- index.ts: removed TypeSuggestion, suggestType exports
- package.json: removed stale types/augmentations export

Build passes, 1176 tests pass, 0 failures.
2026-02-01 10:48:56 -08:00

207 lines
6 KiB
TypeScript

/**
* Performance Regression Tests for add() Operations
*
* These tests ensure that add() operations maintain acceptable performance.
* They detect regressions like the v7.1.0 bug where cloud storage type detection
* failed, causing 50-100x slower add() operations.
*
* v7.1.1: Added after discovering storage type detection bug
*/
import { describe, it, expect, beforeEach, afterEach } from 'vitest'
import { Brainy } from '../../../src/brainy.js'
import { NounType } from '../../../src/types/graphTypes.js'
describe('add() Performance Regression Tests', () => {
let brain: Brainy
beforeEach(async () => {
brain = new Brainy({
storage: { type: 'memory' },
silent: true
})
await brain.init()
})
afterEach(async () => {
await brain.close()
})
describe('Single add() Performance', () => {
it('should complete single add() in < 500ms with memory storage', async () => {
const start = performance.now()
await brain.add({
data: 'Test entity for performance measurement',
type: NounType.Concept
})
const elapsed = performance.now() - start
// Single add should be well under 500ms with memory storage
// Includes embedding generation (~50-150ms) + indexing (~10-50ms)
expect(elapsed).toBeLessThan(500)
})
it('should complete add() with metadata in < 500ms', async () => {
const start = performance.now()
await brain.add({
data: { title: 'Test Document', content: 'This is test content for performance' },
type: NounType.Document,
metadata: {
author: 'test',
category: 'performance',
tags: ['test', 'performance', 'benchmark']
}
})
const elapsed = performance.now() - start
expect(elapsed).toBeLessThan(500)
})
})
describe('Batch add() Performance', () => {
it('should complete 10 add() operations in < 5 seconds', async () => {
const start = performance.now()
for (let i = 0; i < 10; i++) {
await brain.add({
data: `Entity ${i} for batch performance test`,
type: NounType.Concept
})
}
const elapsed = performance.now() - start
// 10 adds should average < 500ms each = 5000ms total
// This catches severe regressions like the 7-12 second per add bug
expect(elapsed).toBeLessThan(5000)
// Also verify reasonable average
const avgPerAdd = elapsed / 10
expect(avgPerAdd).toBeLessThan(500)
})
it('should maintain consistent performance across sequential adds', async () => {
const times: number[] = []
for (let i = 0; i < 5; i++) {
const start = performance.now()
await brain.add({
data: `Sequential entity ${i}`,
type: NounType.Concept
})
times.push(performance.now() - start)
}
// No single add should be drastically slower than others
// (catches issues where first add is slow due to lazy init)
const maxTime = Math.max(...times)
const avgTime = times.reduce((a, b) => a + b, 0) / times.length
// Max should not be more than 3x the average (allows for first-add warmup)
expect(maxTime).toBeLessThan(avgTime * 3)
// All adds should be under 1 second
expect(maxTime).toBeLessThan(1000)
})
})
describe('Storage Type Detection', () => {
it('should detect memory storage type correctly', async () => {
// Access private method via any cast for testing
const storageType = (brain as any).getStorageType()
expect(storageType).toBe('memory')
})
it('should use immediate persistence for memory storage', async () => {
// Memory storage should use immediate mode (already fast)
const index = (brain as any).index
expect(index.persistMode).toBe('immediate')
})
})
})
describe('Cloud Storage Type Detection', () => {
// These tests verify that cloud storage types are detected correctly
// They don't actually connect to cloud storage, just verify the detection logic
it('should detect GCS storage type from class name', () => {
// Create a mock storage with GCS-like class name
class GcsStorage {
constructor() {}
}
const mockBrain = {
storage: new GcsStorage(),
getStorageType() {
if (!this.storage) return 'memory'
const className = this.storage.constructor.name
if (className.includes('Gcs') || className.includes('GCS')) return 'gcs'
if (className.includes('S3')) return 's3'
if (className.includes('R2')) return 'r2'
if (className.includes('Azure')) return 'azure'
return 'unknown'
}
}
expect(mockBrain.getStorageType()).toBe('gcs')
})
it('should detect S3 storage type from class name', () => {
class S3CompatibleStorage {
constructor() {}
}
const mockBrain = {
storage: new S3CompatibleStorage(),
getStorageType() {
if (!this.storage) return 'memory'
const className = this.storage.constructor.name
if (className.includes('S3')) return 's3'
return 'unknown'
}
}
expect(mockBrain.getStorageType()).toBe('s3')
})
it('should detect R2 storage type from class name', () => {
class R2Storage {
constructor() {}
}
const mockBrain = {
storage: new R2Storage(),
getStorageType() {
if (!this.storage) return 'memory'
const className = this.storage.constructor.name
if (className.includes('R2')) return 'r2'
return 'unknown'
}
}
expect(mockBrain.getStorageType()).toBe('r2')
})
it('should detect Azure storage type from class name', () => {
class AzureBlobStorage {
constructor() {}
}
const mockBrain = {
storage: new AzureBlobStorage(),
getStorageType() {
if (!this.storage) return 'memory'
const className = this.storage.constructor.name
if (className.includes('Azure')) return 'azure'
return 'unknown'
}
}
expect(mockBrain.getStorageType()).toBe('azure')
})
})