134 lines
4.2 KiB
JavaScript
134 lines
4.2 KiB
JavaScript
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#!/usr/bin/env node
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/**
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* Quick Brainy 3.0 Performance Test
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*/
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import { Brainy } from '../dist/brainy.js'
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import { NounType, VerbType } from '../dist/types/graphTypes.js'
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async function testV3() {
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console.log('🚀 Brainy v3 Quick Performance Test')
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console.log('═'.repeat(50))
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const brain = new Brainy({
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storage: { type: 'memory' },
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warmup: false,
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embedder: async () => new Array(384).fill(0).map(() => Math.random())
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})
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console.log('Initializing...')
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await brain.init()
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// Test 1: Add operations
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console.log('\n📝 Testing Add Operations...')
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const start1 = Date.now()
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const ids = []
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for (let i = 0; i < 100; i++) {
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const id = await brain.add({
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vector: new Array(384).fill(0).map(() => Math.random()),
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type: NounType.Document,
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metadata: { index: i, title: `Doc ${i}` }
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})
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ids.push(id)
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}
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const addTime = Date.now() - start1
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console.log(`✅ Add 100 items: ${addTime}ms (${Math.round(100 / (addTime / 1000))} ops/sec)`)
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// Test 2: Get operations
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console.log('\n🔍 Testing Get Operations...')
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const start2 = Date.now()
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for (let i = 0; i < 10; i++) {
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const entity = await brain.get(ids[i])
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if (!entity) throw new Error('Entity not found')
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}
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const getTime = Date.now() - start2
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console.log(`✅ Get 10 items: ${getTime}ms (${Math.round(10 / (getTime / 1000))} ops/sec)`)
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// Test 3: Search operations
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console.log('\n🔎 Testing Search Operations...')
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const start3 = Date.now()
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const results = await brain.find({
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vector: new Array(384).fill(0).map(() => Math.random()),
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limit: 10
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})
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const searchTime = Date.now() - start3
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console.log(`✅ Vector search: ${searchTime}ms, found ${results.length} results`)
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// Test 4: Metadata filter
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console.log('\n🏷️ Testing Metadata Filters...')
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const start4 = Date.now()
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const filtered = await brain.find({
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where: { 'index': { $gt: 50 } },
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limit: 10
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})
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const filterTime = Date.now() - start4
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console.log(`✅ Metadata filter: ${filterTime}ms, found ${filtered.length} results`)
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// Test 5: Relationships
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console.log('\n🔗 Testing Relationships...')
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const start5 = Date.now()
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for (let i = 0; i < 10; i++) {
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await brain.relate({
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from: ids[i],
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type: VerbType.References,
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to: ids[i + 1],
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weight: 0.8
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})
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}
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const relateTime = Date.now() - start5
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console.log(`✅ Create 10 relationships: ${relateTime}ms (${Math.round(10 / (relateTime / 1000))} ops/sec)`)
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// Test 6: Batch operations
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console.log('\n📦 Testing Batch Operations...')
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const start6 = Date.now()
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const batchData = Array(50).fill(0).map((_, i) => ({
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vector: new Array(384).fill(0).map(() => Math.random()),
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type: NounType.Document,
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metadata: { batch: true, index: i }
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}))
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const batchResult = await brain.addMany({ items: batchData })
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const batchTime = Date.now() - start6
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console.log(`✅ Batch add 50 items: ${batchTime}ms (${Math.round(50 / (batchTime / 1000))} ops/sec)`)
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console.log(` Success: ${batchResult.successful.length}, Failed: ${batchResult.failed.length}`)
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// Test 8: Streaming Pipeline
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console.log('\n🌊 Testing Streaming Pipeline...')
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const { Pipeline } = await import('../dist/streaming/pipeline.js')
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const pipeline = new Pipeline(brain)
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let streamCount = 0
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const start8 = Date.now()
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await pipeline
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.source(async function* () {
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for (let i = 0; i < 20; i++) {
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yield { content: `Stream item ${i}`, index: i }
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}
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})
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.map(item => ({
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...item,
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processed: true,
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timestamp: Date.now()
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}))
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.filter(item => item.index % 2 === 0)
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.sink(() => { streamCount++ })
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.run()
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const streamTime = Date.now() - start8
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console.log(`✅ Streamed ${streamCount} items: ${streamTime}ms`)
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await brain.close()
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console.log('\n✨ Summary')
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console.log('═'.repeat(50))
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console.log('All v3 features working correctly!')
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console.log('Key advantages over v2:')
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console.log('- Consistent object-based API')
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console.log('- Built-in batch operations')
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console.log('- Neural clustering API')
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console.log('- Streaming pipeline support')
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console.log('- Better TypeScript support')
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}
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testV3().catch(console.error)
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