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)
41 lines
No EOL
1.3 KiB
JavaScript
41 lines
No EOL
1.3 KiB
JavaScript
#!/usr/bin/env node
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// Check ONNX memory settings
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console.log('ONNX Memory Settings:')
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console.log('=====================')
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console.log('ORT_DISABLE_MEMORY_ARENA:', process.env.ORT_DISABLE_MEMORY_ARENA)
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console.log('ORT_DISABLE_MEMORY_PATTERN:', process.env.ORT_DISABLE_MEMORY_PATTERN)
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console.log('ORT_INTRA_OP_NUM_THREADS:', process.env.ORT_INTRA_OP_NUM_THREADS)
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console.log('ORT_INTER_OP_NUM_THREADS:', process.env.ORT_INTER_OP_NUM_THREADS)
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// Now test with minimal embedding
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import { BrainyData } from './dist/index.js'
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async function testMinimalSearch() {
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try {
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console.log('\nInitializing Brainy...')
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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('Adding one noun...')
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await brain.addNoun({ name: 'Test' })
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console.log('Memory before search:', (process.memoryUsage().heapUsed / 1024 / 1024).toFixed(2), 'MB')
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console.log('Performing minimal search...')
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const results = await brain.search('test', 1)
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console.log('Memory after search:', (process.memoryUsage().heapUsed / 1024 / 1024).toFixed(2), 'MB')
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console.log(`Found ${results.length} results`)
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process.exit(0)
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} catch (error) {
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console.error('Failed:', error.message)
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process.exit(1)
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}
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}
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testMinimalSearch() |