David Snelling
4949b6a629
✅ MAJOR BREAKTHROUGH - Session 5 Success: - Unit tests: 18/19 passing with mocked AI (<500MB RAM) - Integration tests: Real AI models loading successfully - Core features: Real embeddings, CRUD operations verified - Architecture: All 11 augmentations, worker threads operational 📋 CRITICAL FINDINGS: - Real AI models load and cache correctly - 384D embeddings generate properly - Core CRUD operations work with real transformers - Memory management effective for production ⚠️ RELEASE BLOCKER IDENTIFIED: - Search operations timeout in test environment - Affects: search(), find(), clustering functionality - Root cause: Likely worker communication during HNSW search - Priority: MUST fix before 2.0.0 release 🎯 NEXT SESSION PRIORITIES: 1. Debug and fix search timeout issue 2. Verify search/find/clustering work in production 3. Final documentation cleanup 4. Release preparation Confidence: 90% ready (pending search functionality verification)
114 lines
No EOL
3.8 KiB
JavaScript
Executable file
114 lines
No EOL
3.8 KiB
JavaScript
Executable file
#!/usr/bin/env node
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/**
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* Test Memory-Safe Brainy System
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*
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* Verifies that our universal memory manager prevents crashes
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* Uses reasonable memory limits (4GB instead of 16GB)
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*/
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import { BrainyData } from './dist/index.js'
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console.log('🧠 Testing Memory-Safe Brainy System')
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console.log('=' + '='.repeat(50))
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async function testMemorySafety() {
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try {
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console.log('📊 Memory before start:')
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const startMem = process.memoryUsage()
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console.log(` Heap: ${(startMem.heapUsed / 1024 / 1024).toFixed(2)} MB`)
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console.log(` RSS: ${(startMem.rss / 1024 / 1024).toFixed(2)} MB`)
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console.log('\n🚀 Initializing Brainy with Universal Memory Manager...')
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const brain = new BrainyData({
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storage: { forceMemoryStorage: true },
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verbose: false
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})
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await brain.init()
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console.log('✅ Initialized successfully')
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console.log('\n📝 Testing multiple embedding operations...')
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const testItems = [
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'JavaScript programming language',
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'Python data science framework',
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'React component library',
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'Node.js runtime environment',
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'Machine learning algorithms',
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'Database query optimization',
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'Web development frameworks',
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'Cloud computing services',
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'Artificial intelligence models',
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'Software engineering practices'
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]
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// Add items that require embeddings
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for (let i = 0; i < testItems.length; i++) {
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const id = await brain.addNoun({
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text: testItems[i],
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category: 'tech',
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index: i
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})
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console.log(` Added item ${i + 1}/10: ${testItems[i].substring(0, 30)}...`)
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// Check memory periodically
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if (i % 3 === 0) {
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const mem = process.memoryUsage()
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console.log(` Memory: ${(mem.heapUsed / 1024 / 1024).toFixed(2)} MB heap, ${(mem.rss / 1024 / 1024).toFixed(2)} MB RSS`)
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}
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}
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console.log('\n🔍 Testing search operations...')
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const searchResults = await brain.search('programming', 5)
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console.log(`✅ Search completed: found ${searchResults.length} results`)
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console.log('\n🧠 Testing Brain Patterns...')
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const filteredResults = await brain.search('*', 10, {
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metadata: { category: 'tech' }
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})
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console.log(`✅ Brain Patterns completed: found ${filteredResults.length} results`)
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console.log('\n📊 Final memory usage:')
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const endMem = process.memoryUsage()
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console.log(` Heap Used: ${(endMem.heapUsed / 1024 / 1024).toFixed(2)} MB`)
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console.log(` RSS: ${(endMem.rss / 1024 / 1024).toFixed(2)} MB`)
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console.log(` Heap Growth: ${((endMem.heapUsed - startMem.heapUsed) / 1024 / 1024).toFixed(2)} MB`)
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// Get memory manager stats if available
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try {
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const { getEmbeddingMemoryStats } = await import('./dist/embeddings/universal-memory-manager.js')
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const stats = getEmbeddingMemoryStats()
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console.log('\n🔧 Memory Manager Stats:')
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console.log(` Strategy: ${stats.strategy}`)
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console.log(` Embeddings: ${stats.embeddings}`)
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console.log(` Restarts: ${stats.restarts}`)
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console.log(` Memory: ${stats.memoryUsage}`)
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} catch (error) {
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console.log('\n⚠️ Memory stats not available')
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}
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console.log('\n✅ All tests completed without crashes!')
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console.log('🎉 Memory-safe system is working correctly')
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return true
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} catch (error) {
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console.error('\n❌ Test failed:', error.message)
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console.error(error.stack)
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return false
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}
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}
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// Run test
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async function main() {
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const success = await testMemorySafety()
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if (success) {
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console.log('\n🚀 SUCCESS: Memory-safe Brainy is ready for production!')
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process.exit(0)
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} else {
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console.log('\n💥 FAILURE: Memory issues detected')
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process.exit(1)
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}
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}
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main() |