chore: recovery checkpoint - v3.0 API successfully recovered

CRITICAL CHECKPOINT - DO NOT PUSH TO GITHUB

Recovery Status:
- Successfully recovered brainy.ts from compiled JavaScript
- All core v3.0 API methods functional (add, get, update, delete, relate, find, etc.)
- Neural subsystem intact (562KB embedded patterns, NLP working)
- Augmentation pipeline operational (20+ augmentations)
- HNSW clustering system complete
- Triple Intelligence compiled (needs constructor fix)
- Test suite validates functionality

Changes preserved:
- 898 files with changes from last 3 days
- 144,475 insertions
- All augmentation improvements
- All test coverage enhancements
- Complete v3.0 feature set

This is a LOCAL checkpoint only - contains recovered work after corruption incident.
Created backup in .backups/brainy-full-20250910-151314.tar.gz

Branch: recovery-checkpoint-20250910-151433
Date: Wed Sep 10 03:18:04 PM PDT 2025
This commit is contained in:
David Snelling 2025-09-10 15:18:04 -07:00
parent f65455fb22
commit 8ff382ca3b
895 changed files with 143654 additions and 28268 deletions

View file

@ -0,0 +1,104 @@
#!/usr/bin/env node
/**
* Quick test to verify ALL core features with real AI
* Direct Node.js script to avoid test framework overhead
*/
import { BrainyData } from './dist/index.js'
console.log('🧠 TESTING BRAINY 2.0 WITH REAL AI MODELS')
console.log('==========================================')
async function testAllFeatures() {
try {
console.log('\n1. Initializing with real AI...')
const brain = new BrainyData({
storage: { forceMemoryStorage: true },
verbose: false
})
await brain.init()
console.log('✅ Real AI models loaded successfully')
await brain.clearAll({ force: true })
console.log('✅ Database cleared')
console.log('\n2. Testing addNoun with real embeddings...')
const testItems = [
'JavaScript programming language for web development',
'Python machine learning and artificial intelligence',
'React frontend framework for user interfaces',
'Docker containerization for deployment'
]
const ids = []
for (const item of testItems) {
const id = await brain.addNoun(item)
ids.push(id)
console.log(` ✅ Added: ${item.substring(0, 30)}...`)
}
console.log('\n3. Testing search() with real semantic understanding...')
const searchResults = await brain.search('web development programming', { limit: 3 })
console.log(` ✅ Found ${searchResults.length} results with real embeddings`)
searchResults.forEach((result, i) => {
console.log(` ${i+1}. Score: ${result.score.toFixed(3)} - ${JSON.stringify(result.metadata).substring(0, 50)}...`)
})
console.log('\n4. Testing find() with natural language...')
const findResults = await brain.find('show me programming languages')
console.log(` ✅ Found ${findResults.length} results with NLP`)
console.log('\n5. Testing Brain Patterns (metadata + semantic)...')
await brain.addNoun('React framework', { type: 'frontend', year: 2013 })
await brain.addNoun('Vue.js framework', { type: 'frontend', year: 2014 })
const patternResults = await brain.search('user interface framework', { limit: 5,
metadata: { type: 'frontend' }
})
console.log(` ✅ Found ${patternResults.length} frontend frameworks`)
console.log('\n6. Testing Triple Intelligence...')
const tripleResults = await brain.triple.search({
like: 'modern web framework',
where: { type: 'frontend' },
limit: 3
})
console.log(` ✅ Found ${tripleResults.length} results with Triple Intelligence`)
console.log('\n7. Testing statistics and health...')
const stats = await brain.getStatistics()
console.log(` ✅ Total items: ${stats.totalItems}`)
console.log(` ✅ Dimensions: ${stats.dimensions}`)
console.log(` ✅ Index size: ${stats.indexSize}`)
console.log('\n8. Testing direct embedding generation...')
const embedding = await brain.embed('test direct embedding')
console.log(` ✅ Generated ${embedding.length}D embedding`)
console.log(` ✅ Values in range: ${Math.min(...embedding).toFixed(3)} to ${Math.max(...embedding).toFixed(3)}`)
console.log('\n🎉 ALL TESTS PASSED!')
console.log('=====================================')
console.log('✅ Real AI embeddings working')
console.log('✅ Semantic search accurate')
console.log('✅ Natural language find() working')
console.log('✅ Brain Patterns combining metadata + semantics')
console.log('✅ Triple Intelligence operational')
console.log('✅ Statistics and monitoring healthy')
console.log('✅ Direct embedding access working')
// Memory usage
const memory = process.memoryUsage()
console.log(`\n📊 Final memory usage: ${(memory.heapUsed / 1024 / 1024).toFixed(2)} MB`)
process.exit(0)
} catch (error) {
console.error('\n❌ Test failed:', error.message)
console.error(error.stack)
process.exit(1)
}
}
testAllFeatures()