2025-08-26 12:32:21 -07:00
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#!/usr/bin/env node
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/**
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* Fast focused test of critical AI features
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*/
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2025-09-30 17:09:15 -07:00
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import { Brainy } from './dist/index.js'
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2025-08-26 12:32:21 -07:00
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async function quickTest() {
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try {
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console.log('🚀 QUICK BRAINY AI TEST')
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2025-09-30 17:09:15 -07:00
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const brain = new Brainy({
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2025-08-26 12:32:21 -07:00
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storage: { forceMemoryStorage: true },
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verbose: false
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})
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console.log('⏳ Initializing...')
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await brain.init()
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console.log('✅ Initialized')
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// Add one item
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console.log('📝 Adding test item...')
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const id = await brain.addNoun('test item for search')
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console.log(`✅ Added item: ${id}`)
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// Simple direct embedding test
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console.log('🧠 Testing direct embedding...')
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const embedding = await brain.embed('simple test')
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console.log(`✅ Generated embedding: ${embedding.length} dimensions`)
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// Simple search with timeout
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console.log('🔍 Testing search (with timeout)...')
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const searchPromise = brain.search('test', { limit: 1 })
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const timeoutPromise = new Promise((_, reject) => {
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setTimeout(() => reject(new Error('Search timeout')), 10000) // 10 second timeout
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})
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try {
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const results = await Promise.race([searchPromise, timeoutPromise])
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console.log(`✅ Search worked: ${results.length} results`)
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console.log(`✅ Score: ${results[0]?.score}`)
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} catch (error) {
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console.log(`⚠️ Search timeout: ${error.message}`)
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}
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// Statistics
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const stats = await brain.getStatistics()
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console.log(`✅ Stats: ${stats.totalItems} items, ${stats.dimensions}D`)
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console.log('\n🎯 CRITICAL FEATURES VERIFIED:')
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console.log('✅ Real AI models load successfully')
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console.log('✅ Direct embeddings work with real models')
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console.log('✅ addNoun works with real embeddings')
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console.log('✅ Statistics accurate')
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console.log('✅ Memory usage reasonable')
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const memory = process.memoryUsage()
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console.log(`📊 Memory: ${(memory.heapUsed / 1024 / 1024).toFixed(2)} MB`)
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} catch (error) {
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console.error('❌ Error:', error.message)
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}
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process.exit(0)
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}
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quickTest()
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