brainy/tests/comprehensive/brainy-v3-complete.test.ts

/**
 * Brainy v3.0 Comprehensive Test Suite
 * 
 * Complete validation of all public APIs, augmentations, and features
 * Designed for production-grade quality assurance
 */

import { describe, it, expect, beforeAll, afterAll, beforeEach, afterEach, vi } from 'vitest'
import { Brainy } from '../../src/brainy.js'
import { NounType, VerbType } from '../../src/types/graphTypes.js'
import { CacheAugmentation } from '../../src/augmentations/cacheAugmentation.js'
import { IndexAugmentation } from '../../src/augmentations/indexAugmentation.js'
import { MetricsAugmentation } from '../../src/augmentations/metricsAugmentation.js'
import { createStorage } from '../../src/storage/storageFactory.js'
import { promises as fs } from 'fs'
import { tmpdir } from 'os'
import { join } from 'path'

// Test utilities
const createTestBrain = async (config?: any) => {
  const brain = new Brainy({
    storage: { type: 'memory' },
    cache: true,
    index: true,
    metrics: true,
    ...config
  })
  await brain.init()
  return brain
}

const generateTestData = (count: number) => {
  const data: Array<{
    text: string
    metadata: {
      id: number
      category: string
      score: number
      tags: string[]
      created: string
    }
  }> = []
  for (let i = 0; i < count; i++) {
    data.push({
      text: `Test item ${i} with content about ${['JavaScript', 'TypeScript', 'Python', 'AI', 'Database'][i % 5]}`,
      metadata: {
        id: i,
        category: ['tech', 'science', 'business'][i % 3],
        score: Math.random() * 100,
        tags: [`tag${i % 5}`, `tag${i % 3}`],
        created: new Date(Date.now() - i * 86400000).toISOString()
      }
    })
  }
  return data
}

describe('Brainy v3.0 Complete Test Suite', () => {
  
  describe('1. Core CRUD Operations', () => {
    let brain: Brainy
    
    beforeEach(async () => {
      brain = await createTestBrain()
    })
    
    afterEach(async () => {
      await brain.close()
    })
    
    describe('1.1 Add Operations', () => {
      it('should add a simple text item', async () => {
        const id = await brain.add({
          data: 'Hello world',
          type: NounType.Document
        })
        
        expect(id).toBeDefined()
        expect(typeof id).toBe('string')
        expect(id.length).toBeGreaterThan(0)
      })
      
      it('should add item with custom ID', async () => {
        const customId = 'custom-123'
        const id = await brain.add({
          id: customId,
          data: 'Custom ID test',
          type: NounType.Document
        })
        
        expect(id).toBe(customId)
      })
      
      it('should add item with metadata', async () => {
        const metadata = { 
          title: 'Test Doc', 
          category: 'testing',
          score: 95.5,
          tags: ['test', 'validation']
        }
        
        const id = await brain.add({
          data: 'Document with metadata',
          metadata,
          type: NounType.Document
        })
        
        const retrieved = await brain.get(id)
        expect(retrieved?.metadata).toEqual(metadata)
      })
      
      it('should add item with pre-computed vector', async () => {
        const vector = new Array(384).fill(0).map(() => Math.random())
        const id = await brain.add({
          data: 'Pre-vectorized content',
          vector,
          type: NounType.Document
        })
        
        const retrieved = await brain.get(id)
        expect(retrieved).toBeDefined()
        expect(retrieved?.vector).toHaveLength(384)
      })
      
      it('should handle adding multiple items concurrently', async () => {
        const promises = Array(10).fill(0).map((_, i) => 
          brain.add({
            data: `Concurrent item ${i}`,
            type: NounType.Document
          })
        )
        
        const ids = await Promise.all(promises)
        expect(ids).toHaveLength(10)
        expect(new Set(ids).size).toBe(10) // All unique
      })
      
      it('should reject invalid noun types', async () => {
        await expect(brain.add({
          data: 'Invalid type test',
          type: 'InvalidType' as any
        })).rejects.toThrow()
      })
    })
    
    describe('1.2 Get Operations', () => {
      let testId: string
      
      beforeEach(async () => {
        testId = await brain.add({
          data: 'Test document for retrieval',
          metadata: { test: true },
          type: NounType.Document
        })
      })
      
      it('should retrieve existing item by ID', async () => {
        const item = await brain.get(testId)
        
        expect(item).toBeDefined()
        expect(item?.id).toBe(testId)
        expect(item?.metadata?.test).toBe(true)
        expect(item?.type).toBe(NounType.Document)
      })
      
      it('should return null for non-existent ID', async () => {
        const item = await brain.get('non-existent-id')
        expect(item).toBeNull()
      })
      
      it('should retrieve with vector included', async () => {
        const item = await brain.get(testId)
        expect(item?.vector).toBeDefined()
        expect(item?.vector).toHaveLength(384) // Default dimension
      })
    })
    
    describe('1.3 Update Operations', () => {
      let testId: string
      
      beforeEach(async () => {
        testId = await brain.add({
          data: 'Original content',
          metadata: { version: 1 },
          type: NounType.Document
        })
      })
      
      it('should update existing item data', async () => {
        const success = await brain.update({
          id: testId,
          data: 'Updated content'
        })
        
        expect(success).toBe(true)
        
        const updated = await brain.get(testId)
        expect(updated).toBeDefined()
        // Vector should be different after content update
      })
      
      it('should update only metadata', async () => {
        const success = await brain.update({
          id: testId,
          metadata: { version: 2, updated: true }
        })
        
        expect(success).toBe(true)
        
        const updated = await brain.get(testId)
        expect(updated?.metadata).toEqual({ version: 2, updated: true })
      })
      
      it('should update both data and metadata', async () => {
        const success = await brain.update({
          id: testId,
          data: 'New content',
          metadata: { version: 3 }
        })
        
        expect(success).toBe(true)
        
        const updated = await brain.get(testId)
        expect(updated?.metadata?.version).toBe(3)
      })
      
      it('should return false for non-existent ID', async () => {
        const success = await brain.update({
          id: 'non-existent',
          data: 'Will fail'
        })
        
        expect(success).toBe(false)
      })
    })
    
    describe('1.4 Delete Operations', () => {
      it('should delete existing item', async () => {
        const id = await brain.add({
          data: 'To be deleted',
          type: NounType.Document
        })
        
        const success = await brain.delete(id)
        expect(success).toBe(true)
        
        const item = await brain.get(id)
        expect(item).toBeNull()
      })
      
      it('should return false for non-existent ID', async () => {
        const success = await brain.delete('non-existent')
        expect(success).toBe(false)
      })
      
      it('should handle concurrent deletes safely', async () => {
        const ids = await Promise.all(
          Array(5).fill(0).map(() => 
            brain.add({ data: 'Concurrent delete test', type: NounType.Document })
          )
        )
        
        await Promise.all(ids.map(id => brain.delete(id)))
        // delete() returns void, not boolean
        
        // Verify all deleted
        const items = await Promise.all(ids.map(id => brain.get(id)))
        expect(items.every(item => item === null)).toBe(true)
      })
    })
    
    describe('1.5 Clear Operations', () => {
      it('should clear all data', async () => {
        // Add test data
        await Promise.all(
          Array(10).fill(0).map((_, i) => 
            brain.add({ data: `Item ${i}`, type: NounType.Document })
          )
        )
        
        await brain.clear()
        
        const stats = await brain.insights()
        expect(stats.entities).toBe(0)
      })
    })
  })
  
  describe('2. Find and Triple Intelligence', () => {
    let brain: Brainy
    let testData: any[]
    
    beforeAll(async () => {
      brain = await createTestBrain()
      testData = generateTestData(50)
      
      // Add test data
      for (const item of testData) {
        await brain.add({
          data: item.text,
          metadata: item.metadata,
          type: NounType.Document
        })
      }
    })
    
    afterAll(async () => {
      await brain.close()
    })
    
    describe('2.1 Vector Search', () => {
      it('should find similar items by query', async () => {
        const results = await brain.find({
          query: 'JavaScript programming',
          limit: 5
        })
        
        expect(results).toHaveLength(5)
        expect(results[0].score).toBeGreaterThanOrEqual(0)
        expect(results[0].score).toBeLessThanOrEqual(1)
        expect(results[0].entity).toBeDefined()
      })
      
      it('should respect limit parameter', async () => {
        const results = await brain.find({
          query: 'TypeScript',
          limit: 3
        })
        
        expect(results).toHaveLength(3)
      })
      
      it('should find by vector directly', async () => {
        const vector = new Array(384).fill(0).map(() => Math.random())
        const results = await brain.find({
          vector,
          limit: 5
        })
        
        expect(results).toHaveLength(5)
      })
    })
    
    describe('2.2 Metadata Filtering', () => {
      it('should filter by single metadata field', async () => {
        const results = await brain.find({
          where: { category: 'tech' }
        })
        
        expect(results.length).toBeGreaterThan(0)
        results.forEach(r => {
          expect(r.entity.metadata?.category).toBe('tech')
        })
      })
      
      it('should filter by multiple metadata fields', async () => {
        const results = await brain.find({
          where: { 
            category: 'science',
            score: { $gte: 50 }
          }
        })
        
        results.forEach(r => {
          expect(r.entity.metadata?.category).toBe('science')
          expect(r.entity.metadata?.score).toBeGreaterThanOrEqual(50)
        })
      })
      
      it('should support range queries', async () => {
        const results = await brain.find({
          where: {
            score: { $gte: 25, $lte: 75 }
          }
        })
        
        results.forEach(r => {
          const score = r.entity.metadata?.score
          expect(score).toBeGreaterThanOrEqual(25)
          expect(score).toBeLessThanOrEqual(75)
        })
      })
      
      it('should support array contains', async () => {
        const results = await brain.find({
          where: {
            tags: { $contains: 'tag1' }
          }
        })
        
        results.forEach(r => {
          expect(r.entity.metadata?.tags).toContain('tag1')
        })
      })
    })
    
    describe('2.3 Type Filtering', () => {
      it('should filter by single type', async () => {
        const results = await brain.find({
          type: NounType.Document
        })
        
        results.forEach(r => {
          expect(r.entity.type).toBe(NounType.Document)
        })
      })
      
      it('should filter by multiple types', async () => {
        const results = await brain.find({
          type: [NounType.Document, NounType.File]
        })
        
        results.forEach(r => {
          expect([NounType.Document, NounType.File]).toContain(r.entity.type)
        })
      })
    })
    
    describe('2.4 Triple Intelligence Fusion', () => {
      it('should combine vector and metadata search', async () => {
        const results = await brain.find({
          query: 'JavaScript',
          where: { category: 'tech' },
          fusion: {
            strategy: 'adaptive',
            weights: { vector: 0.7, field: 0.3 }
          }
        })
        
        expect(results.length).toBeGreaterThan(0)
        results.forEach(r => {
          expect(r.entity.metadata?.category).toBe('tech')
        })
      })
      
      it('should use adaptive fusion strategy', async () => {
        const results = await brain.find({
          query: 'database',
          where: { score: { $gte: 60 } },
          fusion: { strategy: 'adaptive' }
        })
        
        expect(results).toBeDefined()
      })
    })
  })
  
  describe('3. Relationship Management', () => {
    let brain: Brainy
    let entityA: string
    let entityB: string
    let entityC: string
    
    beforeAll(async () => {
      brain = await createTestBrain()
      
      entityA = await brain.add({ data: 'Entity A', type: NounType.Person })
      entityB = await brain.add({ data: 'Entity B', type: NounType.Organization })
      entityC = await brain.add({ data: 'Entity C', type: NounType.Document })
    })
    
    afterAll(async () => {
      await brain.close()
    })
    
    it('should create relationships between entities', async () => {
      const verbId = await brain.relate({
        from: entityA,
        to: entityB,
          type: VerbType.WorksWith,
        metadata: { since: '2023' }
      })
      
      expect(verbId).toBeDefined()
      expect(typeof verbId).toBe('string')
    })
    
    it('should retrieve relationships', async () => {
      await brain.relate({
        from: entityA,
        to: entityC,
          type: VerbType.Creates
      })
      
      const relations = await brain.getRelations({ from: entityA })
      
      expect(relations.length).toBeGreaterThanOrEqual(1)
      expect(relations[0].from).toBe(entityA)
    })
    
    it('should find related entities', async () => {
      const related = await brain.getRelations({
        from: entityA,
        type: VerbType.WorksWith
      })
      
      expect(related).toBeDefined()
      expect(related.some(r => r.id === entityB)).toBe(true)
    })
  })
  
  describe('4. Augmentation System', () => {
    describe('4.1 Augmentation Registration', () => {
      it('should list built-in augmentations', async () => {
        const brain = await createTestBrain()
        const augmentations = brain.augmentations.list()
        
        expect(augmentations).toContain('cache')
        expect(augmentations).toContain('index')
        expect(augmentations).toContain('metrics')
        
        await brain.close()
      })
      
      it('should check augmentation presence', async () => {
        const brain = await createTestBrain()
        
        expect(brain.augmentations.has('cache')).toBe(true)
        expect(brain.augmentations.has('non-existent')).toBe(false)
        
        await brain.close()
      })
    })
    
    describe('4.2 Cache Augmentation', () => {
      it('should cache search results', async () => {
        const brain = await createTestBrain({ cache: true })
        
        // Add test data
        await brain.add({ data: 'Cached content', type: NounType.Document })
        
        // First search (cache miss)
        const start1 = Date.now()
        const results1 = await brain.find({ query: 'Cached' })
        const time1 = Date.now() - start1
        
        // Second search (cache hit)
        const start2 = Date.now()
        const results2 = await brain.find({ query: 'Cached' })
        const time2 = Date.now() - start2
        
        expect(results1).toEqual(results2)
        // Cache hit should be faster (this might be flaky in CI)
        
        await brain.close()
      })
      
      it('should invalidate cache on data changes', async () => {
        const brain = await createTestBrain({ cache: true })
        
        const id = await brain.add({ data: 'Initial', type: NounType.Document })
        
        // Search to populate cache
        const results1 = await brain.find({ query: 'Initial' })
        
        // Update data
        await brain.update({ id, data: 'Modified' })
        
        // Search again (cache should be invalidated)
        const results2 = await brain.find({ query: 'Modified' })
        
        expect(results2.length).toBeGreaterThanOrEqual(0)
        
        await brain.close()
      })
    })
    
    describe('4.3 Index Augmentation', () => {
      it('should enable fast metadata filtering', async () => {
        const brain = await createTestBrain({ index: true })
        
        // Add items with metadata
        const items = Array(100).fill(0).map((_, i) => ({
          data: `Item ${i}`,
          metadata: { 
            category: i % 3 === 0 ? 'A' : i % 3 === 1 ? 'B' : 'C',
            index: i
          },
          type: NounType.Document
        }))
        
        for (const item of items) {
          await brain.add(item)
        }
        
        // Fast metadata query
        const start = Date.now()
        const results = await brain.find({
          where: { category: 'A' }
        })
        const queryTime = Date.now() - start
        
        expect(results.length).toBeGreaterThan(0)
        expect(queryTime).toBeLessThan(100) // Should be fast
        
        await brain.close()
      })
    })
    
    describe('4.4 Metrics Augmentation', () => {
      it('should collect operation metrics', async () => {
        const brain = await createTestBrain({ metrics: true })
        
        // Perform operations
        await brain.add({ data: 'Test', type: NounType.Document })
        await brain.find({ query: 'Test' })
        
        const stats = brain.getStats()
        
        expect(stats).toBeDefined()
        expect(stats.totalNouns).toBeGreaterThanOrEqual(1)
        
        await brain.close()
      })
    })
  })
  
  describe('5. Storage Adapters', () => {
    describe('5.1 Memory Storage', () => {
      it('should work with memory storage', async () => {
        const brain = new Brainy({
          storage: { type: 'memory' }
        })
        await brain.init()
        
        const id = await brain.add({ data: 'Memory test', type: NounType.Document })
        const item = await brain.get(id)
        
        expect(item).toBeDefined()
        expect(item?.id).toBe(id)
        
        await brain.close()
      })
    })
    
    describe('5.2 Filesystem Storage', () => {
      it('should work with filesystem storage', async () => {
        const tempDir = join(tmpdir(), `brainy-test-${Date.now()}`)
        
        const brain = new Brainy({
          storage: {
            type: 'filesystem',
            options: {
              path: tempDir
            }
          }
        })
        await brain.init()
        
        const id = await brain.add({ data: 'FS test', type: NounType.Document })
        const item = await brain.get(id)
        
        expect(item).toBeDefined()
        
        await brain.close()
        
        // Cleanup
        await fs.rm(tempDir, { recursive: true, force: true })
      })
      
      it('should persist data across restarts', async () => {
        const tempDir = join(tmpdir(), `brainy-persist-${Date.now()}`)
        
        // First session
        const brain1 = new Brainy({
          storage: { type: 'filesystem', options: { path: tempDir } }
        })
        await brain1.init()
        
        const id = await brain1.add({ 
          data: 'Persistent data', 
          metadata: { persistent: true },
          type: NounType.Document 
        })
        
        await brain1.close()
        
        // Second session
        const brain2 = new Brainy({
          storage: { type: 'filesystem', options: { path: tempDir } }
        })
        await brain2.init()
        
        const item = await brain2.get(id)
        expect(item).toBeDefined()
        expect(item?.metadata?.persistent).toBe(true)
        
        await brain2.close()
        
        // Cleanup
        await fs.rm(tempDir, { recursive: true, force: true })
      })
    })
  })
  
  describe('6. Neural API and Clustering', () => {
    let brain: Brainy
    
    beforeAll(async () => {
      brain = await createTestBrain()
      
      // Add diverse test data for clustering
      const topics = ['AI', 'Web', 'Database', 'Security', 'Cloud']
      for (let i = 0; i < 25; i++) {
        await brain.add({
          data: `Document about ${topics[i % 5]} technology ${i}`,
          metadata: { topic: topics[i % 5], index: i },
          type: NounType.Document
        })
      }
    })
    
    afterAll(async () => {
      await brain.close()
    })
    
    describe('6.1 Similarity Calculation', () => {
      it('should calculate similarity between entities', async () => {
        const id1 = await brain.add({ data: 'JavaScript programming', type: NounType.Document })
        const id2 = await brain.add({ data: 'TypeScript programming', type: NounType.Document })
        const id3 = await brain.add({ data: 'Database management', type: NounType.Document })
        
        const sim12 = await brain.neural().similar(id1, id2)
        const sim13 = await brain.neural().similar(id1, id3)
        
        const score12 = typeof sim12 === 'number' ? sim12 : sim12.score
        const score13 = typeof sim13 === 'number' ? sim13 : sim13.score
        
        expect(score12).toBeGreaterThan(score13) // JS and TS more similar than JS and DB
        expect(score12).toBeGreaterThan(0.5)
        expect(score13).toBeLessThan(0.8)
      })
    })
    
    describe('6.2 Clustering', () => {
      it.skip('should perform hierarchical clustering', async () => {
        // TODO: Fix clusters API call - parameters don't match implementation
        // const clusters = await brain.neural().clusters({
        //   algorithm: 'hierarchical',
        //   threshold: 0.7
        // })
        
        // expect(clusters).toBeDefined()
        // expect(Array.isArray(clusters)).toBe(true)
        // expect(clusters.length).toBeGreaterThan(0)
        
        // // Each cluster should have members
        // clusters.forEach(cluster => {
        //   expect(cluster.members).toBeDefined()
        //   expect(cluster.members.length).toBeGreaterThan(0)
        // })
      })
      
      it.skip('should perform k-means clustering', async () => {
        // TODO: Fix clusters API call - parameters don't match implementation
        // const clusters = await brain.neural().clusters({
        //   algorithm: 'kmeans',
        //   k: 3
        // })
        
        // expect(clusters).toHaveLength(3)
      })
    })
  })
  
  describe('7. Performance and Scale', () => {
    it('should handle 1000 items efficiently', async () => {
      const brain = await createTestBrain()
      
      const start = Date.now()
      
      // Add 1000 items
      const promises = Array(1000).fill(0).map((_, i) => 
        brain.add({
          data: `Item ${i} with random content ${Math.random()}`,
          metadata: { index: i },
          type: NounType.Document
        })
      )
      
      await Promise.all(promises)
      const addTime = Date.now() - start
      
      // Should complete in reasonable time
      expect(addTime).toBeLessThan(30000) // 30 seconds for 1000 items
      
      // Search should still be fast
      const searchStart = Date.now()
      const results = await brain.find({ query: 'random content', limit: 10 })
      const searchTime = Date.now() - searchStart
      
      expect(results).toHaveLength(10)
      expect(searchTime).toBeLessThan(1000) // Search under 1 second
      
      await brain.close()
    }, 60000) // 60 second timeout for this test
    
    it('should handle concurrent operations', async () => {
      const brain = await createTestBrain()
      
      // Concurrent adds
      const addPromises = Array(50).fill(0).map((_, i) => 
        brain.add({ data: `Concurrent ${i}`, type: NounType.Document })
      )
      
      // Concurrent searches
      const searchPromises = Array(10).fill(0).map(() => 
        brain.find({ query: 'test', limit: 5 })
      )
      
      const results = await Promise.all([...addPromises, ...searchPromises])
      
      expect(results).toHaveLength(60)
      
      await brain.close()
    })
  })
  
  describe('8. Error Handling and Edge Cases', () => {
    let brain: Brainy
    
    beforeEach(async () => {
      brain = await createTestBrain()
    })
    
    afterEach(async () => {
      await brain.close()
    })
    
    it('should handle empty queries gracefully', async () => {
      const results = await brain.find({ query: '' })
      expect(results).toBeDefined()
      expect(Array.isArray(results)).toBe(true)
    })
    
    it('should handle very long text', async () => {
      const longText = 'x'.repeat(100000) // 100k characters
      const id = await brain.add({ data: longText, type: NounType.Document })
      
      expect(id).toBeDefined()
      const item = await brain.get(id)
      expect(item).toBeDefined()
    })
    
    it('should handle special characters', async () => {
      const specialText = '!@#$%^&*()_+-=[]{}|;\':",./<>?`~'
      const id = await brain.add({ data: specialText, type: NounType.Document })
      
      const item = await brain.get(id)
      expect(item).toBeDefined()
    })
    
    it('should handle unicode text', async () => {
      const unicodeText = '你好世界 🌍 مرحبا بالعالم'
      const id = await brain.add({ data: unicodeText, type: NounType.Document })
      
      const item = await brain.get(id)
      expect(item).toBeDefined()
    })
    
    it('should reject invalid metadata', async () => {
      await expect(brain.add({
        data: 'Test',
        metadata: { circular: {} } as any,
        type: NounType.Document
      })).rejects.toThrow()
    })
  })
  
  describe('9. Statistics and Insights', () => {
    let brain: Brainy
    
    beforeAll(async () => {
      brain = await createTestBrain()
      
      // Add varied test data
      await brain.add({ data: 'Doc 1', type: NounType.Document })
      await brain.add({ data: 'Person 1', type: NounType.Person })
      await brain.add({ data: 'Org 1', type: NounType.Organization })
      
      const id1 = await brain.add({ data: 'A', type: NounType.Document })
      const id2 = await brain.add({ data: 'B', type: NounType.Document })
      await brain.relate({ from: id1, to: id2, type: VerbType.References })
    })
    
    afterAll(async () => {
      await brain.close()
    })
    
    it('should provide accurate statistics', async () => {
      const stats = brain.getStats()
      
      expect(stats).toBeDefined()
      expect(stats.totalNouns).toBeGreaterThanOrEqual(5)
      expect(stats.totalVerbs).toBeGreaterThanOrEqual(1)
    })
    
    it('should provide insights', async () => {
      const insights = await brain.insights()
      
      expect(insights).toBeDefined()
      expect(insights.entities).toBeGreaterThanOrEqual(5)
      expect(insights.relationships).toBeGreaterThanOrEqual(1)
      expect(insights.types).toBeDefined()
      expect(Object.keys(insights.types).length).toBeGreaterThan(0)
    })
    
    it('should suggest relevant queries', async () => {
      const suggestions = await brain.suggest({ limit: 3 })
      
      expect(suggestions).toBeDefined()
      expect(suggestions.queries).toBeDefined()
      expect(Array.isArray(suggestions.queries)).toBe(true)
    })
  })
})

// Run performance benchmark
describe('Performance Benchmarks', () => {
  it('should meet performance targets', async () => {
    const brain = await createTestBrain()
    
    const benchmarks = {
      add: { target: 10, actual: 0 },      // 10ms per add
      get: { target: 5, actual: 0 },       // 5ms per get
      search: { target: 50, actual: 0 },   // 50ms per search
      update: { target: 15, actual: 0 }    // 15ms per update
    }
    
    // Benchmark add
    const addStart = Date.now()
    const id = await brain.add({ data: 'Benchmark', type: NounType.Document })
    benchmarks.add.actual = Date.now() - addStart
    
    // Benchmark get
    const getStart = Date.now()
    await brain.get(id)
    benchmarks.get.actual = Date.now() - getStart
    
    // Benchmark search
    const searchStart = Date.now()
    await brain.find({ query: 'Benchmark', limit: 5 })
    benchmarks.search.actual = Date.now() - searchStart
    
    // Benchmark update
    const updateStart = Date.now()
    await brain.update({ id, metadata: { updated: true } })
    benchmarks.update.actual = Date.now() - updateStart
    
    // Check performance
    Object.entries(benchmarks).forEach(([op, perf]) => {
      console.log(`${op}: ${perf.actual}ms (target: ${perf.target}ms)`)
      expect(perf.actual).toBeLessThan(perf.target * 2) // Allow 2x margin
    })
    
    await brain.close()
  })
})