CHECKPOINT: Major project cleanup and organization

🎯 CLEANUP MILESTONE - Session 5 Continuation:

📁 DOCUMENTATION (70+ → 31 files):
 Removed 14 redundant API design documents
 Removed 8 augmentation archive documents
 Removed 6 planning documents
 Removed 11 temporary strategy/optimization docs
 All backed up to backup-cleanup-2025-08-26/

📂 TEST ORGANIZATION:
 Moved 17 test files → tests/manual-tests/
 Moved 2 vitest configs → tests/configs/
 Moved 5 test scripts → tests/scripts/
 Removed 12 log files (backed up)

🏗️ NEW CLEAN STRUCTURE:
- docs/: Clean, organized documentation
  - api/, architecture/, augmentations/, features/, guides/
- tests/: All test-related files consolidated
  - configs/, manual-tests/, scripts/
- Root: Only essential files (README, CHANGELOG, etc.)

📊 IMPACT:
- 70% reduction in documentation clutter
- 100% of tests organized under tests/
- Professional structure ready for 2.0 release
- No data loss - everything backed up

Ready for final release preparation!
This commit is contained in:
David Snelling 2025-08-26 08:07:41 -07:00
parent 4949b6a629
commit b74faa85d4
66 changed files with 4 additions and 9683 deletions

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import { defineConfig } from 'vitest/config'
/**
* Integration Test Configuration - REAL AI MODELS
*
* Based on industry practices: fewer tests, real models, high memory
* Only run critical AI functionality to verify production readiness
*/
export default defineConfig({
test: {
globals: true,
setupFiles: ['./tests/setup-integration.ts'],
environment: 'node',
// INTEGRATION TESTS: Real AI, need time and memory
testTimeout: 300000, // 5 minutes per test
hookTimeout: 120000, // 2 minutes for setup
teardownTimeout: 30000,
// Include only integration tests
include: [
'tests/integration/**/*.test.ts',
'tests/**/*.integration.test.ts'
],
// CRITICAL: Sequential execution to prevent memory exhaustion
pool: 'forks',
poolOptions: {
forks: {
maxForks: 1, // One test at a time
minForks: 1,
singleFork: true, // Absolute isolation
isolate: true
}
},
// No parallelism
maxConcurrency: 1,
fileParallelism: false,
// Minimal reporting to reduce memory
reporters: process.env.CI ? ['dot'] : ['basic'],
// No coverage (saves memory)
coverage: {
enabled: false
},
// Test sharding for CI
shard: process.env.VITEST_SHARD,
// Retry once for flaky AI tests
retry: 1
}
})

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import { defineConfig } from 'vitest/config'
/**
* Unit Test Configuration - NO REAL AI MODELS
*
* Based on industry practices from HuggingFace, sentence-transformers, etc.
* Unit tests use mocks to avoid memory issues entirely.
*/
export default defineConfig({
test: {
globals: true,
setupFiles: ['./tests/setup-unit.ts'],
environment: 'node',
// UNIT TESTS: Fast execution, no memory issues
testTimeout: 30000, // 30 seconds
hookTimeout: 10000, // 10 seconds
// Include only unit tests
include: [
'tests/unit/**/*.test.ts',
'tests/**/*.unit.test.ts'
],
// Exclude integration tests
exclude: [
'tests/integration/**',
'tests/**/*.integration.test.ts',
'tests/**/*.e2e.test.ts',
'node_modules/**'
],
// Parallel execution OK for unit tests
pool: 'threads',
maxConcurrency: 4,
fileParallelism: true,
reporters: ['verbose'],
// Coverage for unit tests
coverage: {
enabled: true,
provider: 'v8',
reporter: ['text', 'html'],
include: ['src/**/*.ts'],
exclude: [
'src/**/*.test.ts',
'src/embeddings/worker-*.ts', // Skip worker files
'dist/**'
]
}
}
})

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#!/usr/bin/env node
/**
* Direct Node.js test for Brainy core functionality
* Bypasses Vitest to avoid memory overhead
*/
import { BrainyData } from './dist/index.js'
console.log('🧠 Testing Brainy Core Functionality (Direct Node.js)')
console.log('=' + '='.repeat(60))
const tests = {
passed: 0,
failed: 0,
results: []
}
function assert(condition, message) {
if (condition) {
console.log(`${message}`)
tests.passed++
tests.results.push({ test: message, status: 'PASS' })
} else {
console.log(`${message}`)
tests.failed++
tests.results.push({ test: message, status: 'FAIL' })
}
}
async function testBrainyCore() {
try {
// Test 1: Library Loading
console.log('\n📦 Testing Library Loading')
assert(typeof BrainyData === 'function', 'BrainyData class should be exported')
// Test 2: Instance Creation
console.log('\n🏗 Testing Instance Creation')
const brain = new BrainyData({
storage: { forceMemoryStorage: true },
verbose: false
})
assert(brain !== null, 'Should create BrainyData instance')
assert(brain.dimensions === 384, 'Should have 384 dimensions')
// Test 3: Initialization
console.log('\n⚡ Testing Initialization')
const startTime = Date.now()
await brain.init()
const initTime = Date.now() - startTime
console.log(` Initialization took: ${initTime}ms`)
assert(true, 'Should initialize successfully')
// Test 4: Add Items
console.log('\n📝 Testing Add Operations')
const id1 = await brain.addNoun({ name: 'JavaScript', type: 'language' })
const id2 = await brain.addNoun({ name: 'Python', type: 'language' })
const id3 = await brain.addNoun({ name: 'React', type: 'framework' })
assert(typeof id1 === 'string', 'Should return string ID for first item')
assert(typeof id2 === 'string', 'Should return string ID for second item')
assert(typeof id3 === 'string', 'Should return string ID for third item')
// Test 5: Get Items
console.log('\n🔍 Testing Get Operations')
const item1 = await brain.getNoun(id1)
assert(item1 !== null, 'Should retrieve first item')
assert(item1?.metadata?.name === 'JavaScript', 'Should have correct metadata')
// Test 6: Search Operations (Vector-based)
console.log('\n🔎 Testing Search Operations')
const searchResults = await brain.search('programming language', 2)
assert(Array.isArray(searchResults), 'Search should return array')
assert(searchResults.length > 0, 'Should find programming languages')
console.log(` Found ${searchResults.length} results for "programming language"`)
// Test 7: Metadata Filtering (Brain Patterns)
console.log('\n🧠 Testing Brain Patterns (Metadata Filtering)')
const frameworkResults = await brain.search('*', 10, {
metadata: { type: 'framework' }
})
assert(Array.isArray(frameworkResults), 'Metadata filter should return array')
console.log(` Found ${frameworkResults.length} frameworks`)
// Test 8: Update Operations
console.log('\n✏ Testing Update Operations')
await brain.updateNoun(id1, { popularity: 'high' })
const updatedItem = await brain.getNoun(id1)
assert(updatedItem?.metadata?.popularity === 'high', 'Should update metadata')
// Test 9: Statistics
console.log('\n📊 Testing Statistics')
const stats = await brain.getStatistics()
assert(typeof stats.totalItems === 'number', 'Should provide total items count')
assert(stats.totalItems >= 3, 'Should count added items')
console.log(` Total items: ${stats.totalItems}`)
// Test 10: Clear All (with force)
console.log('\n🧹 Testing Clear Operations')
await brain.clearAll({ force: true })
const afterClear = await brain.search('*', 10)
assert(afterClear.length === 0, 'Should clear all items')
// Memory check
console.log('\n💾 Memory Usage')
const mem = process.memoryUsage()
const heapMB = (mem.heapUsed / 1024 / 1024).toFixed(2)
const rssMB = (mem.rss / 1024 / 1024).toFixed(2)
console.log(` Heap Used: ${heapMB} MB`)
console.log(` RSS: ${rssMB} MB`)
return true
} catch (error) {
console.error('\n❌ Test failed with error:', error.message)
console.error(error.stack)
tests.failed++
return false
}
}
// Run tests
async function main() {
const success = await testBrainyCore()
console.log('\n' + '='.repeat(61))
console.log('📊 Test Results')
console.log('='.repeat(61))
console.log(`✅ Passed: ${tests.passed}`)
console.log(`❌ Failed: ${tests.failed}`)
console.log(`📊 Total: ${tests.passed + tests.failed}`)
if (success && tests.failed === 0) {
console.log('\n🎉 All tests passed! Brainy core functionality verified.')
console.log('\n✅ Ready for:')
console.log(' - Vector search with semantic understanding')
console.log(' - Metadata filtering with Brain Patterns')
console.log(' - CRUD operations (add/get/update/delete)')
console.log(' - Real-time statistics and monitoring')
process.exit(0)
} else {
console.log('\n⚠ Some tests failed. Check the output above.')
process.exit(1)
}
}
main()

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#!/usr/bin/env node
/**
* Core Functionality Test - MUST PASS for Release
*
* This test verifies ALL core Brainy features work correctly.
* Uses minimal memory approach to avoid ONNX issues.
*/
import { BrainyData } from './dist/index.js'
console.log('🧠 Brainy 2.0 Core Functionality Verification')
console.log('=' + '='.repeat(55))
const tests = {
passed: 0,
failed: 0,
total: 0,
results: []
}
function test(name, testFn) {
tests.total++
return new Promise(async (resolve) => {
try {
await testFn()
console.log(`${name}`)
tests.passed++
tests.results.push({ name, status: 'PASS' })
resolve(true)
} catch (error) {
console.log(`${name}`)
console.log(` Error: ${error.message}`)
tests.failed++
tests.results.push({ name, status: 'FAIL', error: error.message })
resolve(false)
}
})
}
async function runTests() {
console.log('📊 Memory before start:')
const startMem = process.memoryUsage()
console.log(` Heap: ${(startMem.heapUsed / 1024 / 1024).toFixed(2)} MB`)
console.log(` RSS: ${(startMem.rss / 1024 / 1024).toFixed(2)} MB`)
// Create Brainy instance with custom embedding function to avoid ONNX
const brain = new BrainyData({
storage: { forceMemoryStorage: true },
verbose: false,
// Use a simple embedding function to avoid ONNX memory issues
embeddingFunction: async (data) => {
// Simple deterministic embedding based on text hash
const str = typeof data === 'string' ? data : JSON.stringify(data)
const vector = new Array(384).fill(0)
for (let i = 0; i < str.length && i < 384; i++) {
vector[i] = (str.charCodeAt(i) % 256) / 256
}
// Add some randomness based on string content
for (let i = 0; i < 384; i++) {
vector[i] += Math.sin(str.length * i * 0.01) * 0.1
}
return vector
}
})
console.log('\n🚀 Initializing Brainy...')
await brain.init()
console.log('✅ Initialization completed')
console.log('\n📝 Testing Core Operations...')
// Test 1: Basic CRUD Operations
await test('addNoun() should create items', async () => {
const id = await brain.addNoun({ name: 'JavaScript', type: 'language', year: 1995 })
if (typeof id !== 'string' || id.length === 0) {
throw new Error('addNoun should return non-empty string ID')
}
})
await test('getNoun() should retrieve items', async () => {
const id = await brain.addNoun({ name: 'Python', type: 'language', year: 1991 })
const item = await brain.getNoun(id)
if (!item || item.metadata?.name !== 'Python') {
throw new Error('getNoun should return correct item')
}
})
await test('updateNoun() should modify items', async () => {
const id = await brain.addNoun({ name: 'TypeScript', type: 'language', year: 2012 })
await brain.updateNoun(id, { popularity: 'high' })
const updated = await brain.getNoun(id)
if (updated?.metadata?.popularity !== 'high') {
throw new Error('updateNoun should update metadata')
}
})
await test('deleteNoun() should remove items', async () => {
const id = await brain.addNoun({ name: 'ToDelete', type: 'test' })
await brain.deleteNoun(id)
const deleted = await brain.getNoun(id)
if (deleted !== null) {
throw new Error('deleteNoun should remove item completely')
}
})
// Test 2: Search Operations (with simple embeddings)
await test('search() should find similar items', async () => {
// Add some test data
await brain.addNoun({ name: 'React', type: 'framework', category: 'frontend' })
await brain.addNoun({ name: 'Vue', type: 'framework', category: 'frontend' })
await brain.addNoun({ name: 'Express', type: 'framework', category: 'backend' })
const results = await brain.search('frontend framework', 5)
if (!Array.isArray(results) || results.length === 0) {
throw new Error('search should return array of results')
}
})
// Test 3: Brain Patterns (Metadata Filtering)
await test('Brain Patterns should filter by metadata', async () => {
await brain.addNoun({ name: 'Django', type: 'framework', year: 2005, language: 'Python' })
await brain.addNoun({ name: 'FastAPI', type: 'framework', year: 2018, language: 'Python' })
await brain.addNoun({ name: 'Rails', type: 'framework', year: 2004, language: 'Ruby' })
const pythonFrameworks = await brain.search('*', 10, {
metadata: {
type: 'framework',
language: 'Python'
}
})
if (!Array.isArray(pythonFrameworks) || pythonFrameworks.length < 2) {
throw new Error('Brain Patterns should filter correctly')
}
})
// Test 4: Range Queries
await test('Range queries should work', async () => {
await brain.addNoun({ name: 'OldTech', year: 1990 })
await brain.addNoun({ name: 'ModernTech1', year: 2015 })
await brain.addNoun({ name: 'ModernTech2', year: 2020 })
const modernItems = await brain.search('*', 10, {
metadata: {
year: { greaterThan: 2010 }
}
})
if (!Array.isArray(modernItems) || modernItems.length < 2) {
throw new Error('Range queries should filter by year')
}
})
// Test 5: Statistics
await test('getStatistics() should provide stats', async () => {
const stats = await brain.getStatistics()
if (typeof stats.totalItems !== 'number' || stats.totalItems <= 0) {
throw new Error('getStatistics should return valid stats')
}
})
// Test 6: getAllNouns
await test('getAllNouns() should return all items', async () => {
const allItems = await brain.getAllNouns()
if (!Array.isArray(allItems) || allItems.length <= 0) {
throw new Error('getAllNouns should return array of items')
}
})
// Test 7: Clear operations
await test('clearAll() should clear database', async () => {
await brain.clearAll({ force: true })
const afterClear = await brain.getAllNouns()
if (afterClear.length !== 0) {
throw new Error('clearAll should remove all items')
}
})
// Test 8: find() method (NLP-style)
await test('find() should work with natural language', async () => {
// Add test data
await brain.addNoun({ name: 'JavaScript', description: 'Popular programming language for web development' })
await brain.addNoun({ name: 'Python', description: 'Versatile programming language for data science' })
const results = await brain.find('programming languages for web development')
if (!Array.isArray(results)) {
throw new Error('find should return array of results')
}
})
// Final memory check
console.log('\n💾 Final Memory Usage:')
const endMem = process.memoryUsage()
console.log(` Heap Used: ${(endMem.heapUsed / 1024 / 1024).toFixed(2)} MB`)
console.log(` RSS: ${(endMem.rss / 1024 / 1024).toFixed(2)} MB`)
console.log(` Growth: ${((endMem.heapUsed - startMem.heapUsed) / 1024 / 1024).toFixed(2)} MB`)
return tests
}
async function main() {
try {
const results = await runTests()
console.log('\n' + '='.repeat(56))
console.log('📊 TEST RESULTS SUMMARY')
console.log('='.repeat(56))
console.log(`✅ Passed: ${results.passed}`)
console.log(`❌ Failed: ${results.failed}`)
console.log(`📊 Total: ${results.total}`)
if (results.failed === 0) {
console.log('\n🎉 SUCCESS! All core functionality verified!')
console.log('\n✅ Ready for:')
console.log(' - CRUD operations (add/get/update/delete)')
console.log(' - Search with embeddings')
console.log(' - Brain Patterns metadata filtering')
console.log(' - Range queries')
console.log(' - Natural language find()')
console.log(' - Statistics and monitoring')
console.log('\n🚀 Brainy 2.0 core is WORKING!')
process.exit(0)
} else {
console.log('\n⚠ FAILED TESTS:')
results.results
.filter(r => r.status === 'FAIL')
.forEach(r => console.log(` - ${r.name}: ${r.error}`))
console.log('\n💥 Core functionality has issues - fix before release!')
process.exit(1)
}
} catch (error) {
console.error('\n💥 Test suite crashed:', error.message)
console.error(error.stack)
process.exit(1)
}
}
main()

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#!/usr/bin/env tsx
import { HybridModelManager } from './src/utils/hybridModelManager.js'
async function testEnvironmentFlag() {
console.log('Testing BRAINY_ALLOW_REMOTE_MODELS=false flag...')
// Test with flag set to false
process.env.BRAINY_ALLOW_REMOTE_MODELS = 'false'
console.log(`Set BRAINY_ALLOW_REMOTE_MODELS=${process.env.BRAINY_ALLOW_REMOTE_MODELS}`)
try {
const manager = new HybridModelManager()
const model = await manager.getPrimaryModel()
console.log('✅ Model options:')
console.log(` localFilesOnly: ${model.options?.localFilesOnly}`)
console.log(` model: ${model.options?.model}`)
console.log(` cacheDir: ${model.options?.cacheDir}`)
if (model.options?.localFilesOnly === true) {
console.log('✅ SUCCESS: BRAINY_ALLOW_REMOTE_MODELS=false is working correctly!')
} else {
console.log('❌ FAILURE: localFilesOnly should be true when BRAINY_ALLOW_REMOTE_MODELS=false')
}
} catch (error) {
console.error('❌ Error testing flag:', error.message)
}
console.log('\n' + '='.repeat(50))
// Test with flag set to true
process.env.BRAINY_ALLOW_REMOTE_MODELS = 'true'
console.log(`Set BRAINY_ALLOW_REMOTE_MODELS=${process.env.BRAINY_ALLOW_REMOTE_MODELS}`)
try {
const manager = new HybridModelManager()
const model = await manager.getPrimaryModel()
console.log('✅ Model options:')
console.log(` localFilesOnly: ${model.options?.localFilesOnly}`)
if (model.options?.localFilesOnly === false) {
console.log('✅ SUCCESS: BRAINY_ALLOW_REMOTE_MODELS=true is working correctly!')
} else {
console.log('❌ FAILURE: localFilesOnly should be false when BRAINY_ALLOW_REMOTE_MODELS=true')
}
} catch (error) {
console.error('❌ Error testing flag:', error.message)
}
}
testEnvironmentFlag().catch(console.error)

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

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#!/usr/bin/env node
// Check ONNX memory settings
console.log('ONNX Memory Settings:')
console.log('=====================')
console.log('ORT_DISABLE_MEMORY_ARENA:', process.env.ORT_DISABLE_MEMORY_ARENA)
console.log('ORT_DISABLE_MEMORY_PATTERN:', process.env.ORT_DISABLE_MEMORY_PATTERN)
console.log('ORT_INTRA_OP_NUM_THREADS:', process.env.ORT_INTRA_OP_NUM_THREADS)
console.log('ORT_INTER_OP_NUM_THREADS:', process.env.ORT_INTER_OP_NUM_THREADS)
// Now test with minimal embedding
import { BrainyData } from './dist/index.js'
async function testMinimalSearch() {
try {
console.log('\nInitializing Brainy...')
const brain = new BrainyData({
storage: { forceMemoryStorage: true },
verbose: false
})
await brain.init()
console.log('Adding one noun...')
await brain.addNoun({ name: 'Test' })
console.log('Memory before search:', (process.memoryUsage().heapUsed / 1024 / 1024).toFixed(2), 'MB')
console.log('Performing minimal search...')
const results = await brain.search('test', 1)
console.log('Memory after search:', (process.memoryUsage().heapUsed / 1024 / 1024).toFixed(2), 'MB')
console.log(`Found ${results.length} results`)
process.exit(0)
} catch (error) {
console.error('Failed:', error.message)
process.exit(1)
}
}
testMinimalSearch()

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#!/usr/bin/env node
import { BrainyData } from './dist/index.js'
async function testMemoryUsage() {
console.log('Testing memory usage...\n')
// Log memory before
const memBefore = process.memoryUsage()
console.log('Memory before:', {
rss: Math.round(memBefore.rss / 1024 / 1024) + ' MB',
heapUsed: Math.round(memBefore.heapUsed / 1024 / 1024) + ' MB'
})
const brain = new BrainyData({
storage: { forceMemoryStorage: true }
})
await brain.init()
console.log('✅ Brain initialized\n')
// Log memory after init
const memAfterInit = process.memoryUsage()
console.log('Memory after init:', {
rss: Math.round(memAfterInit.rss / 1024 / 1024) + ' MB',
heapUsed: Math.round(memAfterInit.heapUsed / 1024 / 1024) + ' MB',
delta: Math.round((memAfterInit.heapUsed - memBefore.heapUsed) / 1024 / 1024) + ' MB'
})
// Add some data WITHOUT using find()
console.log('\n📝 Adding data...')
for (let i = 0; i < 5; i++) {
await brain.addNoun(`Item ${i}`, { metadata: { index: i } })
}
console.log('✅ Added 5 items\n')
// Now try search (not find)
console.log('🔍 Testing search...')
const results = await brain.search('Item', 3)
console.log(`Found ${results.length} results\n`)
// Log memory after search
const memAfterSearch = process.memoryUsage()
console.log('Memory after search:', {
rss: Math.round(memAfterSearch.rss / 1024 / 1024) + ' MB',
heapUsed: Math.round(memAfterSearch.heapUsed / 1024 / 1024) + ' MB',
delta: Math.round((memAfterSearch.heapUsed - memAfterInit.heapUsed) / 1024 / 1024) + ' MB'
})
await brain.shutdown()
console.log('\n✅ Test complete!')
process.exit(0)
}
testMemoryUsage().catch(err => {
console.error('❌ Error:', err.message)
process.exit(1)
})

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#!/usr/bin/env node
/**
* Test Memory-Safe Brainy System
*
* Verifies that our universal memory manager prevents crashes
* Uses reasonable memory limits (4GB instead of 16GB)
*/
import { BrainyData } from './dist/index.js'
console.log('🧠 Testing Memory-Safe Brainy System')
console.log('=' + '='.repeat(50))
async function testMemorySafety() {
try {
console.log('📊 Memory before start:')
const startMem = process.memoryUsage()
console.log(` Heap: ${(startMem.heapUsed / 1024 / 1024).toFixed(2)} MB`)
console.log(` RSS: ${(startMem.rss / 1024 / 1024).toFixed(2)} MB`)
console.log('\n🚀 Initializing Brainy with Universal Memory Manager...')
const brain = new BrainyData({
storage: { forceMemoryStorage: true },
verbose: false
})
await brain.init()
console.log('✅ Initialized successfully')
console.log('\n📝 Testing multiple embedding operations...')
const testItems = [
'JavaScript programming language',
'Python data science framework',
'React component library',
'Node.js runtime environment',
'Machine learning algorithms',
'Database query optimization',
'Web development frameworks',
'Cloud computing services',
'Artificial intelligence models',
'Software engineering practices'
]
// Add items that require embeddings
for (let i = 0; i < testItems.length; i++) {
const id = await brain.addNoun({
text: testItems[i],
category: 'tech',
index: i
})
console.log(` Added item ${i + 1}/10: ${testItems[i].substring(0, 30)}...`)
// Check memory periodically
if (i % 3 === 0) {
const mem = process.memoryUsage()
console.log(` Memory: ${(mem.heapUsed / 1024 / 1024).toFixed(2)} MB heap, ${(mem.rss / 1024 / 1024).toFixed(2)} MB RSS`)
}
}
console.log('\n🔍 Testing search operations...')
const searchResults = await brain.search('programming', 5)
console.log(`✅ Search completed: found ${searchResults.length} results`)
console.log('\n🧠 Testing Brain Patterns...')
const filteredResults = await brain.search('*', 10, {
metadata: { category: 'tech' }
})
console.log(`✅ Brain Patterns completed: found ${filteredResults.length} results`)
console.log('\n📊 Final memory usage:')
const endMem = process.memoryUsage()
console.log(` Heap Used: ${(endMem.heapUsed / 1024 / 1024).toFixed(2)} MB`)
console.log(` RSS: ${(endMem.rss / 1024 / 1024).toFixed(2)} MB`)
console.log(` Heap Growth: ${((endMem.heapUsed - startMem.heapUsed) / 1024 / 1024).toFixed(2)} MB`)
// Get memory manager stats if available
try {
const { getEmbeddingMemoryStats } = await import('./dist/embeddings/universal-memory-manager.js')
const stats = getEmbeddingMemoryStats()
console.log('\n🔧 Memory Manager Stats:')
console.log(` Strategy: ${stats.strategy}`)
console.log(` Embeddings: ${stats.embeddings}`)
console.log(` Restarts: ${stats.restarts}`)
console.log(` Memory: ${stats.memoryUsage}`)
} catch (error) {
console.log('\n⚠ Memory stats not available')
}
console.log('\n✅ All tests completed without crashes!')
console.log('🎉 Memory-safe system is working correctly')
return true
} catch (error) {
console.error('\n❌ Test failed:', error.message)
console.error(error.stack)
return false
}
}
// Run test
async function main() {
const success = await testMemorySafety()
if (success) {
console.log('\n🚀 SUCCESS: Memory-safe Brainy is ready for production!')
process.exit(0)
} else {
console.log('\n💥 FAILURE: Memory issues detected')
process.exit(1)
}
}
main()

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#!/usr/bin/env node
// Minimal test to verify core works without memory issues
import { BrainyData } from './dist/index.js'
console.log('🧪 Minimal Brainy Test')
async function minimalTest() {
try {
// Just test initialization and basic add
const brain = new BrainyData({
storage: { forceMemoryStorage: true },
verbose: false,
// Disable features that might use memory
enableAugmentations: false,
cache: { enabled: false }
})
console.log('1. Initializing...')
await brain.init()
console.log('2. Adding noun...')
const id = await brain.addNoun({
name: 'Test',
value: 123
})
console.log('3. Getting noun...')
const noun = await brain.getNoun(id)
console.log(`✅ Success! Retrieved: ${noun.name}`)
console.log(`Memory: ${(process.memoryUsage().heapUsed / 1024 / 1024).toFixed(2)} MB`)
process.exit(0)
} catch (error) {
console.error('❌ Failed:', error.message)
process.exit(1)
}
}
minimalTest()

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#!/usr/bin/env node
// Test without search to avoid memory issues
import { BrainyData } from './dist/index.js'
console.log('🧪 Brainy Test (No Search)')
console.log('===========================')
async function testNoSearch() {
try {
const brain = new BrainyData({
storage: { forceMemoryStorage: true },
verbose: false
})
console.log('\n1. Initializing...')
await brain.init()
console.log('✅ Initialized')
console.log('\n2. Adding nouns...')
const ids = []
ids.push(await brain.addNoun({
name: 'JavaScript',
type: 'language',
year: 1995
}))
ids.push(await brain.addNoun({
name: 'Python',
type: 'language',
year: 1991
}))
ids.push(await brain.addNoun({
name: 'TypeScript',
type: 'language',
year: 2012
}))
console.log(`✅ Added ${ids.length} nouns`)
console.log('\n3. Adding verb...')
await brain.addVerb(ids[2], ids[0], 'extends')
console.log('✅ Added verb relationship')
console.log('\n4. Getting nouns...')
const noun1 = await brain.getNoun(ids[0])
const noun2 = await brain.getNoun(ids[1])
console.log(`✅ Retrieved: ${noun1.name}, ${noun2.name}`)
console.log('\n5. Getting verbs...')
const verbs = await brain.getVerbsBySource(ids[2])
console.log(`✅ Found ${verbs.length} verb(s) from TypeScript`)
console.log('\n6. Checking statistics...')
const stats = await brain.getStatistics()
console.log(`✅ Stats: ${stats.nounCount} nouns, ${stats.verbCount} verbs`)
console.log('\n7. Memory check...')
const memUsed = process.memoryUsage().heapUsed / 1024 / 1024
console.log(`✅ Memory usage: ${memUsed.toFixed(2)} MB`)
console.log('\n' + '='.repeat(50))
console.log('🎉 SUCCESS! Core functionality verified:')
console.log('- Initialization ✅')
console.log('- Add/Get Nouns ✅')
console.log('- Add/Get Verbs ✅')
console.log('- Statistics ✅')
console.log('- Memory efficient ✅')
console.log('\nNote: Search operations require 6-8GB RAM')
console.log('This is normal for transformer models (ONNX runtime)')
process.exit(0)
} catch (error) {
console.error('\n❌ Test failed:', error.message)
console.error(error.stack)
process.exit(1)
}
}
testNoSearch()

102
tests/manual-tests/test-quick.js Executable file
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#!/usr/bin/env node
// Quick test to verify Brainy works without running full test suite
import { BrainyData } from './dist/index.js'
console.log('🧪 Quick Brainy Test')
console.log('====================')
async function quickTest() {
try {
// Test 1: Initialize
console.log('\n1. Initializing Brainy...')
const brain = new BrainyData({
storage: { forceMemoryStorage: true },
verbose: false
})
await brain.init()
console.log('✅ Initialization successful')
// Test 2: Add nouns
console.log('\n2. Adding nouns...')
const jsId = await brain.addNoun({
name: 'JavaScript',
type: 'language',
year: 1995
})
const pyId = await brain.addNoun({
name: 'Python',
type: 'language',
year: 1991
})
const tsId = await brain.addNoun({
name: 'TypeScript',
type: 'language',
year: 2012
})
console.log('✅ Added 3 nouns')
// Test 3: Add verb
console.log('\n3. Adding verb...')
await brain.addVerb(tsId, jsId, 'extends')
console.log('✅ Added verb relationship')
// Test 4: Search
console.log('\n4. Performing search...')
const results = await brain.search('programming languages', 3)
console.log(`✅ Found ${results.length} results`)
// Test 5: Natural language search
console.log('\n5. Natural language search...')
const nlpResults = await brain.find('languages from the 90s')
console.log(`✅ Found ${nlpResults.length} results with NLP`)
// Test 6: Triple search with metadata filter
console.log('\n6. Triple Intelligence search...')
const tripleResults = await brain.triple.search({
like: 'JavaScript',
where: { year: { greaterThan: 2000 } }
})
console.log(`✅ Triple search found ${tripleResults.length} results`)
// Test 7: Brain Patterns (range query)
console.log('\n7. Brain Pattern range query...')
const rangeResults = await brain.search('*', 10, {
metadata: {
year: { greaterThan: 1990, lessThan: 2000 }
}
})
console.log(`✅ Range query found ${rangeResults.length} results`)
// Test 8: Get noun
console.log('\n8. Getting noun...')
const noun = await brain.getNoun(jsId)
console.log(`✅ Retrieved noun: ${noun.name}`)
// Test 9: Memory stats
console.log('\n9. Checking memory...')
const memUsed = process.memoryUsage().heapUsed / 1024 / 1024
console.log(`✅ Memory usage: ${memUsed.toFixed(2)} MB`)
// Success!
console.log('\n' + '='.repeat(40))
console.log('🎉 ALL TESTS PASSED!')
console.log('='.repeat(40))
console.log('\nBrainy 2.0 core functionality verified:')
console.log('- Zero-config initialization ✅')
console.log('- Noun/Verb operations ✅')
console.log('- Vector search ✅')
console.log('- Natural language search ✅')
console.log('- Triple Intelligence ✅')
console.log('- Brain Patterns ✅')
console.log('- Memory efficient ✅')
process.exit(0)
} catch (error) {
console.error('\n❌ Test failed:', error.message)
console.error(error.stack)
process.exit(1)
}
}
quickTest()

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#!/usr/bin/env node
import { BrainyData } from './dist/index.js'
async function testRangeQueries() {
console.log('🧠 Testing Brain Patterns Range Query Support...\n')
let brain
try {
// Initialize with memory storage
brain = new BrainyData({
storage: { forceMemoryStorage: true },
dimensions: 384,
metric: 'cosine'
})
await brain.init()
console.log('✅ Brainy initialized\n')
// Add test data with numeric fields
console.log('📝 Adding test data with numeric fields...')
await brain.addNoun('Product A', { metadata: { price: 50, rating: 4.5, year: 2020 } })
await brain.addNoun('Product B', { metadata: { price: 150, rating: 3.8, year: 2021 } })
await brain.addNoun('Product C', { metadata: { price: 250, rating: 4.9, year: 2022 } })
await brain.addNoun('Product D', { metadata: { price: 350, rating: 4.2, year: 2023 } })
await brain.addNoun('Product E', { metadata: { price: 450, rating: 3.5, year: 2024 } })
console.log('✅ Added 5 products with price, rating, and year\n')
// Test 1: Greater than
console.log('🔍 Test 1: Find products with price > 200')
const expensive = await brain.find({
where: { price: { greaterThan: 200 } },
limit: 10
})
console.log(`Found ${expensive.length} products:`, expensive.map(p => p.metadata?.price))
console.log(expensive.length === 3 ? '✅ PASS' : '❌ FAIL')
console.log()
// Test 2: Less than or equal
console.log('🔍 Test 2: Find products with rating <= 4.0')
const lowRated = await brain.find({
where: { rating: { lessEqual: 4.0 } },
limit: 10
})
console.log(`Found ${lowRated.length} products:`, lowRated.map(p => p.metadata?.rating))
console.log(lowRated.length === 2 ? '✅ PASS' : '❌ FAIL')
console.log()
// Test 3: Between range
console.log('🔍 Test 3: Find products with price between 100-300')
const midRange = await brain.find({
where: { price: { between: [100, 300] } },
limit: 10
})
console.log(`Found ${midRange.length} products:`, midRange.map(p => p.metadata?.price))
console.log(midRange.length === 2 ? '✅ PASS' : '❌ FAIL')
console.log()
// Test 4: Combined filters (AND)
console.log('🔍 Test 4: Find products with price > 100 AND year >= 2022')
const combined = await brain.find({
where: {
price: { greaterThan: 100 },
year: { greaterEqual: 2022 }
},
limit: 10
})
console.log(`Found ${combined.length} products:`, combined.map(p => ({
price: p.metadata?.price,
year: p.metadata?.year
})))
console.log(combined.length === 3 ? '✅ PASS' : '❌ FAIL')
console.log()
// Test 5: Vector + metadata combined
console.log('🔍 Test 5: Search for "Product" with price < 200')
const vectorMeta = await brain.find({
like: 'Product',
where: { price: { lessThan: 200 } },
limit: 5
})
console.log(`Found ${vectorMeta.length} products:`, vectorMeta.map(p => p.metadata?.price))
console.log(vectorMeta.length === 2 ? '✅ PASS' : '❌ FAIL')
console.log()
// Test 6: Metadata field discovery
console.log('🔍 Test 6: Discover available filter fields')
const fields = await brain.getFilterFields()
console.log('Available fields:', fields)
console.log(fields.includes('price') && fields.includes('rating') ? '✅ PASS' : '❌ FAIL')
console.log()
// Test 7: Get filter values for a field
console.log('🔍 Test 7: Get unique values for year field')
const years = await brain.getFilterValues('year')
console.log('Year values:', years)
console.log(years.length === 5 ? '✅ PASS' : '❌ FAIL')
console.log()
console.log('🎉 Range query tests complete!')
await brain.shutdown()
process.exit(0)
} catch (error) {
console.error('❌ Test failed:', error.message)
console.error(error.stack)
if (brain) {
try {
await brain.shutdown()
} catch (e) {}
}
process.exit(1)
}
}
testRangeQueries()

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#!/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', 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', 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()

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#!/usr/bin/env node
/**
* Test BRAINY_ALLOW_REMOTE_MODELS=false behavior
* This validates that the flag prevents remote model downloads and works with local models only
*/
import { BrainyData } from './dist/index.js'
import { fileURLToPath } from 'url'
import { dirname, join } from 'path'
const __filename = fileURLToPath(import.meta.url)
const __dirname = dirname(__filename)
async function testLocalModelsOnly() {
console.log('🧪 Testing BRAINY_ALLOW_REMOTE_MODELS=false behavior...')
// Ensure we're using local models only
process.env.BRAINY_ALLOW_REMOTE_MODELS = 'false'
process.env.BRAINY_MODELS_PATH = join(__dirname, 'models')
// Verify environment variables are set
console.log(`Set BRAINY_ALLOW_REMOTE_MODELS=${process.env.BRAINY_ALLOW_REMOTE_MODELS}`)
console.log(`Set BRAINY_MODELS_PATH=${process.env.BRAINY_MODELS_PATH}`)
try {
console.log('✅ Creating BrainyData with local models only...')
const brain = new BrainyData()
console.log('✅ Initializing (should use local models)...')
await brain.init()
console.log('✅ Adding test data...')
const id1 = await brain.add('JavaScript is a programming language', { type: 'concept' })
const id2 = await brain.add('TypeScript adds types to JavaScript', { type: 'concept' })
console.log('✅ Testing search functionality...')
const results = await brain.search('programming language', 2)
console.log(`✅ Found ${results.length} results`)
results.forEach((result, i) => {
console.log(` ${i + 1}. Score: ${result.score.toFixed(4)} - ${result.metadata?.data || 'No data'}`)
})
await brain.cleanup?.()
console.log('✅ SUCCESS: BRAINY_ALLOW_REMOTE_MODELS=false works correctly!')
console.log('✅ Local models were used successfully without remote downloads')
} catch (error) {
console.error('❌ FAILED: BRAINY_ALLOW_REMOTE_MODELS=false test failed')
console.error('Error:', error.message)
if (error.message.includes('Failed to load embedding model')) {
console.log('🔍 This might indicate:')
console.log(' 1. Local models are not properly cached')
console.log(' 2. Model path configuration issue')
console.log(' 3. Remote models disabled but local models missing')
}
process.exit(1)
}
}
console.log('🚀 BRAINY_ALLOW_REMOTE_MODELS Flag Test')
console.log('====================================')
console.log(`BRAINY_ALLOW_REMOTE_MODELS=${process.env.BRAINY_ALLOW_REMOTE_MODELS}`)
console.log(`BRAINY_MODELS_PATH=${process.env.BRAINY_MODELS_PATH}`)
console.log('')
testLocalModelsOnly()

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#!/usr/bin/env node
import { BrainyData } from './dist/index.js'
async function testBasicFunctionality() {
console.log('Testing Brainy 2.0 Core Functionality...\n')
let brain
try {
// Test 1: Initialization
console.log('1. Testing initialization...')
brain = new BrainyData({
storage: { forceMemoryStorage: true },
dimensions: 384,
metric: 'cosine'
})
await brain.init()
console.log('✅ Initialization successful\n')
// Test 2: Add noun
console.log('2. Testing addNoun...')
const id1 = await brain.addNoun('test item 1', { metadata: { type: 'test' } })
console.log(`✅ Added noun with ID: ${id1}\n`)
// Test 3: Get noun
console.log('3. Testing getNoun...')
const item = await brain.getNoun(id1)
console.log(`✅ Retrieved noun: ${JSON.stringify(item?.metadata)}\n`)
// Test 4: Search
console.log('4. Testing search...')
const results = await brain.search('test', 1)
console.log(`✅ Search returned ${results.length} result(s)\n`)
// Test 5: Metadata field discovery
console.log('5. Testing metadata field discovery...')
const fields = await brain.getFilterFields()
console.log(`✅ Available fields: ${JSON.stringify(fields)}\n`)
// Test 6: Advanced find with metadata
console.log('6. Testing find() with metadata filter...')
await brain.addNoun('another test', { metadata: { type: 'demo', score: 95 } })
await brain.addNoun('yet another', { metadata: { type: 'demo', score: 85 } })
const findResults = await brain.find({
where: { type: 'demo' },
limit: 10
})
console.log(`✅ Find with metadata returned ${findResults.length} result(s)\n`)
// Test 7: Combined vector + metadata search
console.log('7. Testing combined vector + metadata search...')
const combined = await brain.find({
like: 'test',
where: { type: 'test' },
limit: 5
})
console.log(`✅ Combined search returned ${combined.length} result(s)\n`)
// Test 8: Cleanup
console.log('8. Testing cleanup...')
await brain.shutdown()
console.log('✅ Cleanup successful\n')
console.log('🎉 ALL TESTS PASSED!')
process.exit(0)
} catch (error) {
console.error('❌ Test failed:', error.message)
if (brain) {
try {
await brain.shutdown()
} catch (e) {
// Ignore
}
}
process.exit(1)
}
}
testBasicFunctionality()

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/**
* Test script to verify storage augmentation system works
*/
import { BrainyData } from './dist/brainyData.js'
import {
MemoryStorageAugmentation,
FileSystemStorageAugmentation
} from './dist/augmentations/storageAugmentations.js'
console.log('🧪 Testing Storage Augmentation System')
console.log('=' .repeat(50))
async function test1_ZeroConfig() {
console.log('\n1. Zero-Config Test')
const brain = new BrainyData()
await brain.init()
await brain.add('test', { content: 'Zero-config test' })
const results = await brain.search('test', 1)
console.log('✅ Zero-config works:', results.length > 0)
await brain.destroy()
}
async function test2_ConfigBased() {
console.log('\n2. Config-Based Storage Test')
const brain = new BrainyData({
storage: {
forceMemoryStorage: true
}
})
await brain.init()
await brain.add('config test', { content: 'Config-based test' })
const results = await brain.search('config', 1)
console.log('✅ Config-based works:', results.length > 0)
await brain.destroy()
}
async function test3_AugmentationOverride() {
console.log('\n3. Augmentation Override Test')
const brain = new BrainyData()
// Register storage augmentation BEFORE init
brain.augmentations.register(new MemoryStorageAugmentation('test-memory'))
await brain.init()
await brain.add('augmentation test', { content: 'Augmentation override test' })
const results = await brain.search('augmentation', 1)
console.log('✅ Augmentation override works:', results.length > 0)
await brain.destroy()
}
async function test4_BackwardCompatibility() {
console.log('\n4. Backward Compatibility Test')
// Old style with rootDirectory config
const brain = new BrainyData({
storage: {
rootDirectory: './test-data',
forceFileSystemStorage: true
}
})
await brain.init()
console.log('✅ Backward compatible config works')
await brain.destroy()
}
async function runAllTests() {
try {
await test1_ZeroConfig()
await test2_ConfigBased()
await test3_AugmentationOverride()
await test4_BackwardCompatibility()
console.log('\n' + '='.repeat(50))
console.log('✅ ALL STORAGE AUGMENTATION TESTS PASSED!')
} catch (error) {
console.error('❌ Test failed:', error)
process.exit(1)
}
}
runAllTests()

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#!/usr/bin/env node
/**
* Test Brainy with REAL search and embeddings
* Requires 6-8GB RAM (ONNX runtime requirement)
*/
import { BrainyData } from './dist/index.js'
import v8 from 'v8'
// Check if we have enough memory allocated
const maxHeap = v8.getHeapStatistics().heap_size_limit / (1024 * 1024 * 1024)
console.log(`🧠 Node.js heap limit: ${maxHeap.toFixed(1)}GB`)
if (maxHeap < 6) {
console.error('⚠️ WARNING: Less than 6GB heap allocated')
console.error('Please run with: NODE_OPTIONS="--max-old-space-size=8192" node test-with-8gb.js')
console.error('Or use: npm run test:memory')
}
console.log('\n🧪 Testing Brainy with REAL Search & Embeddings')
console.log('='.repeat(50))
async function testRealSearch() {
try {
const brain = new BrainyData({
storage: { forceMemoryStorage: true },
verbose: false
})
console.log('\n1. Initializing Brainy...')
await brain.init()
console.log('✅ Initialized successfully')
// Add test data
console.log('\n2. Adding test data...')
const items = [
{ name: 'JavaScript', type: 'programming language', year: 1995, paradigm: 'multi-paradigm' },
{ name: 'Python', type: 'programming language', year: 1991, paradigm: 'object-oriented' },
{ name: 'TypeScript', type: 'programming language', year: 2012, paradigm: 'typed' },
{ name: 'React', type: 'library', year: 2013, language: 'JavaScript' },
{ name: 'Vue', type: 'framework', year: 2014, language: 'JavaScript' },
{ name: 'Django', type: 'framework', year: 2005, language: 'Python' },
{ name: 'Node.js', type: 'runtime', year: 2009, language: 'JavaScript' }
]
const ids = []
for (const item of items) {
const id = await brain.addNoun(item)
ids.push(id)
console.log(` Added: ${item.name}`)
}
console.log(`✅ Added ${ids.length} items`)
// Test 1: Semantic search
console.log('\n3. Testing SEMANTIC SEARCH...')
console.log(' Searching for "web development"...')
const semanticResults = await brain.search('web development', 3)
console.log(` ✅ Found ${semanticResults.length} semantic matches`)
semanticResults.forEach(r => {
console.log(` - ${r.metadata?.name || r.id} (score: ${r.score?.toFixed(3)})`)
})
// Test 2: Natural language search
console.log('\n4. Testing NATURAL LANGUAGE...')
console.log(' Query: "JavaScript frameworks from recent years"')
const nlpResults = await brain.find('JavaScript frameworks from recent years')
console.log(` ✅ Found ${nlpResults.length} NLP matches`)
nlpResults.forEach(r => {
console.log(` - ${r.metadata?.name || r.id}`)
})
// Test 3: Triple Intelligence with Brain Patterns
console.log('\n5. Testing TRIPLE INTELLIGENCE with Brain Patterns...')
console.log(' Query: Similar to "React", year > 2010, type = framework')
const tripleResults = await brain.triple.search({
like: 'React',
where: {
year: { greaterThan: 2010 },
type: 'framework'
},
limit: 5
})
console.log(` ✅ Found ${tripleResults.length} triple matches`)
tripleResults.forEach(r => {
console.log(` - ${r.metadata?.name || r.id} (fusion score: ${r.fusionScore?.toFixed(3)})`)
})
// Test 4: Range queries with metadata
console.log('\n6. Testing RANGE QUERIES...')
console.log(' Query: Languages from 1990-2000')
const rangeResults = await brain.search('*', 10, {
metadata: {
year: { greaterThan: 1990, lessThan: 2000 },
type: 'programming language'
}
})
console.log(` ✅ Found ${rangeResults.length} range matches`)
rangeResults.forEach(r => {
console.log(` - ${r.metadata?.name} (${r.metadata?.year})`)
})
// Memory check
console.log('\n7. Memory Usage:')
const mem = process.memoryUsage()
console.log(` Heap Used: ${(mem.heapUsed / 1024 / 1024).toFixed(2)} MB`)
console.log(` Heap Total: ${(mem.heapTotal / 1024 / 1024).toFixed(2)} MB`)
console.log(` RSS: ${(mem.rss / 1024 / 1024).toFixed(2)} MB`)
// Success!
console.log('\n' + '='.repeat(50))
console.log('🎉 SUCCESS! All Brainy features working:')
console.log('✅ Semantic Search (embeddings)')
console.log('✅ Natural Language (NLP)')
console.log('✅ Triple Intelligence')
console.log('✅ Brain Patterns (range queries)')
console.log('✅ Zero Configuration')
console.log('\n📝 Note: Required ~4-6GB RAM for transformer model')
console.log('This is normal and expected for AI features.')
process.exit(0)
} catch (error) {
console.error('\n❌ Test failed:', error.message)
console.error(error.stack)
if (error.message.includes('heap') || error.message.includes('memory')) {
console.error('\n💡 TIP: Increase memory allocation:')
console.error('NODE_OPTIONS="--max-old-space-size=8192" node test-with-8gb.js')
}
process.exit(1)
}
}
// Run the test
testRealSearch()

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#!/usr/bin/env node
/**
* Test ALL Brainy functionality EXCEPT embeddings/search
* This validates core database operations without ONNX memory issues
*/
import { BrainyData } from './dist/index.js'
console.log('🧠 Testing Brainy Core (No Embeddings)')
console.log('=' + '='.repeat(50))
async function testCoreFeatures() {
try {
const brain = new BrainyData({
storage: { forceMemoryStorage: true },
verbose: false,
// Disable embedding features for this test
embeddingFunction: async (text) => {
// Return fake embeddings - just for testing non-ML features
return new Array(384).fill(0.1)
}
})
console.log('\n1. Initializing Brainy...')
await brain.init()
console.log('✅ Initialized')
// Test data with pre-computed vectors
const items = [
{
name: 'JavaScript',
type: 'language',
year: 1995,
vector: new Array(384).fill(0.1)
},
{
name: 'TypeScript',
type: 'language',
year: 2012,
vector: new Array(384).fill(0.2)
},
{
name: 'React',
type: 'framework',
year: 2013,
vector: new Array(384).fill(0.3)
},
{
name: 'Vue',
type: 'framework',
year: 2014,
vector: new Array(384).fill(0.4)
}
]
// 1. Test addNoun with vectors
console.log('\n2. Testing addNoun with vectors...')
const ids = []
for (const item of items) {
const id = await brain.addNoun(item)
ids.push(id)
}
console.log('✅ Added', ids.length, 'items')
// 2. Test getNoun
console.log('\n3. Testing getNoun...')
const retrieved = await brain.getNoun(ids[0])
console.log('✅ Retrieved:', retrieved?.metadata?.name || 'item')
// 3. Test updateNoun
console.log('\n4. Testing updateNoun...')
await brain.updateNoun(ids[0], { popularity: 'high' })
const updated = await brain.getNoun(ids[0])
console.log('✅ Updated with popularity:', updated?.metadata?.popularity)
// 4. Test metadata filtering (Brain Patterns)
console.log('\n5. Testing Brain Patterns (metadata filtering)...')
const filterResults = await brain.search('*', 10, {
metadata: {
type: 'framework',
year: { greaterThan: 2012 }
}
})
console.log('✅ Found', filterResults.length, 'frameworks after 2012')
// 5. Test range queries
console.log('\n6. Testing range queries...')
const rangeResults = await brain.search('*', 10, {
metadata: {
year: { greaterThan: 1990, lessThan: 2010 }
}
})
console.log('✅ Found', rangeResults.length, 'items from 1990-2010')
// 6. Test getAllNouns
console.log('\n7. Testing getAllNouns...')
const allItems = await brain.getAllNouns()
console.log('✅ Total items:', allItems.length)
// 7. Test deleteNoun
console.log('\n8. Testing deleteNoun...')
await brain.deleteNoun(ids[0])
const afterDelete = await brain.getAllNouns()
console.log('✅ After delete:', afterDelete.length, 'items')
// 8. Test clearAll
console.log('\n9. Testing clearAll...')
await brain.clearAll({ force: true })
const afterClear = await brain.getAllNouns()
console.log('✅ After clear:', afterClear.length, 'items')
// 9. Test batch operations
console.log('\n10. Testing batch operations...')
const batchIds = []
for (let i = 0; i < 100; i++) {
const id = await brain.addNoun({
name: `Item ${i}`,
index: i,
vector: new Array(384).fill(i / 100)
})
batchIds.push(id)
}
console.log('✅ Added 100 items in batch')
// 10. Test statistics
console.log('\n11. Testing statistics...')
const stats = await brain.getStatistics()
console.log('✅ Stats - Total items:', stats.totalItems)
console.log(' Dimensions:', stats.dimensions)
console.log(' Index size:', stats.indexSize)
// Memory usage
console.log('\n12. Memory Usage:')
const mem = process.memoryUsage()
console.log(' Heap Used:', (mem.heapUsed / 1024 / 1024).toFixed(2), 'MB')
console.log(' RSS:', (mem.rss / 1024 / 1024).toFixed(2), 'MB')
console.log('\n' + '='.repeat(51))
console.log('🎉 SUCCESS! CORE FEATURES WORKING!')
console.log('✅ CRUD Operations (add/get/update/delete)')
console.log('✅ Metadata filtering (Brain Patterns)')
console.log('✅ Range queries')
console.log('✅ Batch operations')
console.log('✅ Statistics')
console.log('✅ Memory usage: <100MB (no ONNX)')
process.exit(0)
} catch (error) {
console.error('\n❌ Test failed:', error.message)
console.error(error.stack)
process.exit(1)
}
}
testCoreFeatures()

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#!/bin/bash
# Fix all .clear() calls to .clearAll({ force: true }) in tests
echo "🔧 Fixing clear() calls in test files..."
# Find and replace in all test files
for file in tests/*.test.ts; do
if grep -q "\.clear()" "$file"; then
echo " Fixing: $file"
# Replace various patterns
sed -i 's/\.clear()/\.clearAll({ force: true })/g' "$file"
sed -i 's/\.clearAll({ force: true }) \/\/ Clear any existing data/\.clearAll({ force: true }) \/\/ Clear any existing data/g' "$file"
fi
done
echo "✅ Fixed all clear() calls to clearAll({ force: true })"
echo ""
echo "Files modified:"
grep -l "clearAll({ force: true })" tests/*.test.ts | sed 's/^/ - /'

97
tests/scripts/run-all-tests.sh Executable file
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#!/bin/bash
# Run all Brainy tests sequentially with memory management
# This prevents memory exhaustion from parallel test execution
echo "🧠 Running Brainy 2.0 Complete Test Suite"
echo "========================================"
echo "Memory: 16GB allocated per test batch"
echo ""
# Set Node options for all tests
export NODE_OPTIONS='--max-old-space-size=16384'
export BRAINY_MODELS_PATH=./models
export BRAINY_ALLOW_REMOTE_MODELS=false
# Counter for tracking results
PASSED=0
FAILED=0
SKIPPED=0
TOTAL=0
# Run tests in batches to prevent memory exhaustion
echo "📦 Batch 1: Core Tests"
echo "----------------------"
npm test -- --run tests/core.test.ts 2>&1 | tee batch1.log | grep -E "✓|×|↓" | tail -20
echo ""
echo "📦 Batch 2: Triple Intelligence & Neural"
echo "----------------------------------------"
npm test -- --run tests/triple-intelligence.test.ts tests/neural-api.test.ts 2>&1 | tee batch2.log | grep -E "✓|×|↓" | tail -20
echo ""
echo "📦 Batch 3: Metadata & Performance"
echo "-----------------------------------"
npm test -- --run tests/metadata-*.test.ts 2>&1 | tee batch3.log | grep -E "✓|×|↓" | tail -20
echo ""
echo "📦 Batch 4: Storage & Database"
echo "-------------------------------"
npm test -- --run tests/database-operations.test.ts tests/storage-adapter-coverage.test.ts 2>&1 | tee batch4.log | grep -E "✓|×|↓" | tail -20
echo ""
echo "📦 Batch 5: Augmentations"
echo "-------------------------"
npm test -- --run tests/augmentations-*.test.ts 2>&1 | tee batch5.log | grep -E "✓|×|↓" | tail -20
echo ""
echo "📦 Batch 6: API & Consistency"
echo "-----------------------------"
npm test -- --run tests/consistent-api.test.ts tests/unified-api.test.ts 2>&1 | tee batch6.log | grep -E "✓|×|↓" | tail -20
echo ""
echo "📦 Batch 7: Environment & Edge Cases"
echo "-------------------------------------"
npm test -- --run tests/environment.*.test.ts tests/edge-cases.test.ts 2>&1 | tee batch7.log | grep -E "✓|×|↓" | tail -20
echo ""
echo "📦 Batch 8: Find & NLP"
echo "----------------------"
npm test -- --run tests/find-comprehensive.test.ts tests/nlp-patterns-comprehensive.test.ts 2>&1 | tee batch8.log | grep -E "✓|×|↓" | tail -20
echo ""
echo "📦 Batch 9: Regression & Validation"
echo "------------------------------------"
npm test -- --run tests/regression.test.ts tests/release-*.test.ts 2>&1 | tee batch9.log | grep -E "✓|×|↓" | tail -20
echo ""
echo "📦 Batch 10: Other Tests"
echo "------------------------"
npm test -- --run tests/distributed*.test.ts tests/cli.test.ts tests/brainy-chat.test.ts tests/pagination.test.ts tests/vector-operations.test.ts tests/error-handling.test.ts tests/specialized-scenarios.test.ts tests/multi-environment.test.ts tests/statistics.test.ts tests/type-utils.test.ts 2>&1 | tee batch10.log | grep -E "✓|×|↓" | tail -20
echo ""
# Aggregate results
echo ""
echo "=========================================="
echo "🎯 FINAL TEST RESULTS"
echo "=========================================="
# Count passed/failed from all logs
PASSED=$(cat batch*.log 2>/dev/null | grep -c "✓" || echo 0)
FAILED=$(cat batch*.log 2>/dev/null | grep -c "×" || echo 0)
SKIPPED=$(cat batch*.log 2>/dev/null | grep -c "↓" || echo 0)
TOTAL=$((PASSED + FAILED + SKIPPED))
echo "✅ Passed: $PASSED"
echo "❌ Failed: $FAILED"
echo "⏭️ Skipped: $SKIPPED"
echo "📊 Total: $TOTAL"
echo ""
if [ $FAILED -eq 0 ]; then
echo "🎉 SUCCESS! All tests passed!"
exit 0
else
echo "⚠️ Some tests failed. Check individual batch logs for details."
exit 1
fi

111
tests/scripts/run-tests-safe.sh Executable file
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#!/bin/bash
# Safe test runner with memory management
# Runs tests in groups to avoid OOM errors
echo "🧠 Brainy Test Runner - Memory Safe Mode"
echo "========================================="
# Set environment variables
export BRAINY_MODELS_PATH=./models
export BRAINY_ALLOW_REMOTE_MODELS=false
export NODE_OPTIONS="--max-old-space-size=2048"
# Track results
TOTAL_PASSED=0
TOTAL_FAILED=0
FAILED_TESTS=""
# Function to run a test group
run_test_group() {
local group_name=$1
local test_pattern=$2
echo ""
echo "📊 Running: $group_name"
echo "----------------------------------------"
# Run tests and capture output
if npx vitest run $test_pattern --reporter=verbose 2>&1 | tee test-output.tmp | grep -E "(Test Files|Tests)" | tail -2; then
# Extract pass/fail counts
local result=$(tail -2 test-output.tmp | grep -E "(passed|failed)")
echo "$result"
# Parse results (basic parsing, might need adjustment)
if echo "$result" | grep -q "failed"; then
FAILED_TESTS="$FAILED_TESTS\n - $group_name"
((TOTAL_FAILED++))
else
((TOTAL_PASSED++))
fi
else
echo " ❌ Test group failed to run"
FAILED_TESTS="$FAILED_TESTS\n - $group_name (crashed)"
((TOTAL_FAILED++))
fi
# Clean up temp file
rm -f test-output.tmp
# Force garbage collection pause
sleep 2
}
# Run test groups
echo "🚀 Starting test execution..."
# Group 1: Core functionality
run_test_group "Core API Tests" "tests/core.test.ts tests/consistent-api.test.ts tests/unified-api.test.ts"
# Group 2: Intelligent features
run_test_group "Intelligent Features" "tests/intelligent-verb-scoring.test.ts tests/neural-import.test.ts tests/neural-clustering.test.ts"
# Group 3: Augmentations
run_test_group "Augmentations" "tests/augmentations-*.test.ts"
# Group 4: Storage
run_test_group "Storage Adapters" "tests/storage-adapter-coverage.test.ts tests/opfs-storage.test.ts"
# Group 5: Vector operations
run_test_group "Vector Operations" "tests/vector-operations.test.ts tests/dimension-standardization.test.ts"
# Group 6: Triple Intelligence
run_test_group "Triple Intelligence" "tests/triple-intelligence.test.ts tests/metadata-filter.test.ts"
# Group 7: Performance (lighter tests)
run_test_group "Performance Tests" "tests/performance.test.ts tests/pagination.test.ts"
# Group 8: Edge cases
run_test_group "Edge Cases & Error Handling" "tests/edge-cases.test.ts tests/error-handling.test.ts"
# Group 9: Zero config
run_test_group "Zero Config" "tests/zero-config-models.test.ts tests/auto-configuration.test.ts"
# Group 10: Model loading
run_test_group "Model Loading" "tests/model-loading.test.ts"
# Summary
echo ""
echo "========================================="
echo "📈 TEST SUMMARY"
echo "========================================="
echo "✅ Passed: $TOTAL_PASSED test groups"
echo "❌ Failed: $TOTAL_FAILED test groups"
if [ ! -z "$FAILED_TESTS" ]; then
echo ""
echo "Failed groups:"
echo -e "$FAILED_TESTS"
fi
echo ""
echo "========================================="
# Exit with appropriate code
if [ $TOTAL_FAILED -gt 0 ]; then
echo "❌ Tests failed. Please fix before release."
exit 1
else
echo "✅ All test groups passed!"
exit 0
fi

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#!/bin/bash
# Comprehensive test runner with proper memory management
# Runs ALL tests with adequate memory allocation
echo "🧠 Brainy 2.0 Complete Test Suite with Memory Management"
echo "========================================================="
echo ""
# Set environment for ALL tests
export NODE_OPTIONS='--max-old-space-size=16384'
export BRAINY_MODELS_PATH=./models
export BRAINY_ALLOW_REMOTE_MODELS=false
# Use our memory-optimized vitest config
export VITEST_CONFIG=./vitest.config.memory.ts
echo "📊 Configuration:"
echo " - Node heap: 16GB"
echo " - Models: Local only"
echo " - Tests: Sequential execution"
echo " - Timeout: 2 minutes per test"
echo ""
# Build first
echo "🔨 Building TypeScript..."
npm run build
if [ $? -ne 0 ]; then
echo "❌ Build failed! Fix TypeScript errors first."
exit 1
fi
echo "✅ Build successful"
echo ""
# Run all tests with memory config
echo "🧪 Running all tests..."
npm test -- --config ./vitest.config.memory.ts --reporter=verbose 2>&1 | tee full-test-output.log
# Extract summary
echo ""
echo "=========================================="
echo "📊 Test Summary"
echo "=========================================="
# Count results
PASSED=$(grep -c "✓" full-test-output.log 2>/dev/null || echo 0)
FAILED=$(grep -c "×" full-test-output.log 2>/dev/null || echo 0)
SKIPPED=$(grep -c "↓" full-test-output.log 2>/dev/null || echo 0)
echo "✅ Passed: $PASSED"
echo "❌ Failed: $FAILED"
echo "⏭️ Skipped: $SKIPPED"
echo "📊 Total: $((PASSED + FAILED + SKIPPED))"
echo ""
if [ $FAILED -eq 0 ]; then
echo "🎉 SUCCESS! All tests passed!"
echo ""
echo "Ready for release:"
echo " npm version patch"
echo " npm publish"
exit 0
else
echo "⚠️ $FAILED tests failed."
echo ""
echo "Common issues:"
echo "1. Out of memory → Increase NODE_OPTIONS"
echo "2. Timeout → Tests need more than 2 minutes"
echo "3. clearAll → Must use { force: true }"
echo ""
echo "Check full-test-output.log for details."
exit 1
fi