refactor: remove augmentation system and semantic type matching

Remove the entire augmentation pipeline infrastructure (52 files,
~15,000 lines) and the semantic type matching system. These were
unused middleware layers adding complexity without value.

What was removed:
- src/augmentations/ directory (all augmentation implementations)
- src/augmentationManager.ts (pipeline orchestrator)
- src/types/augmentations.ts, src/types/pipelineTypes.ts
- src/shared/default-augmentations.ts
- Semantic type suggestion (BrainyTypes.suggestNoun/suggestVerb)
- src/utils/typeMatching/ (embedding-based type matcher)

What was preserved by relocating:
- Import handlers (CSV, PDF, Excel) -> src/importers/handlers/
- NeuralImportAugmentation -> src/cortex/neuralImportAugmentation.ts
- Type matching utilities -> heuristic inference in consumers

What was simplified:
- brainy.ts: operations call storage directly (no execute() wrapper)
- IntegrationBase: standalone class (no BaseAugmentation parent)
- BrainyTypes: validation-only (nouns, verbs, isValid*, get*)
- Pipeline: direct execution (no augmentation interception)
- index.ts: removed TypeSuggestion, suggestType exports
- package.json: removed stale types/augmentations export

Build passes, 1176 tests pass, 0 failures.
This commit is contained in:
David Snelling 2026-02-01 10:48:56 -08:00
parent ac7a1f772c
commit d1db3510be
97 changed files with 349 additions and 19705 deletions

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@ -1,105 +0,0 @@
/**
* API Server Example
*
* This example shows how to expose Brainy through REST, WebSocket, and MCP APIs
* using the APIServerAugmentation.
*
* Zero-config philosophy: Just create and register the augmentation!
*/
import { Brainy } from '../src/index.js'
import { APIServerAugmentation } from '../src/augmentations/apiServerAugmentation.js'
async function main() {
// 1. Create Brainy with zero config
const brain = new Brainy()
await brain.init()
// 2. Add some sample data
await brain.add({ data: "The quick brown fox", type: 'content', metadata: { type: "sentence", category: "animals" } })
await brain.add({ data: "Machine learning models", type: 'content', metadata: { type: "tech", category: "AI" } })
await brain.add({ data: "Natural language processing", type: 'content', metadata: { type: "tech", category: "NLP" } })
// 3. Create and register the API Server augmentation
const apiServer = new APIServerAugmentation({
port: 3000,
host: 'localhost'
})
// Register the augmentation with Brainy
brain.augmentations.register(apiServer)
// Initialize augmentations with Brainy context
await brain.augmentations.initialize({
brain,
log: (msg: string, level?: string) => console.log(`[${level || 'info'}] ${msg}`),
config: {}
})
console.log('🚀 Brainy API Server is running!')
console.log('📡 REST API: http://localhost:3000')
console.log('🔌 WebSocket: ws://localhost:3000/ws')
console.log('🧠 MCP: http://localhost:3000/api/mcp')
console.log('')
console.log('Try these endpoints:')
console.log(' GET http://localhost:3000/health')
console.log(' POST http://localhost:3000/api/search')
console.log(' Body: { "query": "fox", "limit": 10 }')
console.log(' POST http://localhost:3000/api/add')
console.log(' Body: { "content": "New data", "metadata": {} }')
console.log('')
console.log('Press Ctrl+C to stop the server')
}
// Run the example
main().catch(console.error)
/**
* Example REST API calls:
*
* # Health check
* curl http://localhost:3000/health
*
* # Search
* curl -X POST http://localhost:3000/api/search \
* -H "Content-Type: application/json" \
* -d '{"query": "fox", "limit": 5}'
*
* # Add data
* curl -X POST http://localhost:3000/api/add \
* -H "Content-Type: application/json" \
* -d '{"content": "The cat sat on the mat", "metadata": {"type": "sentence"}}'
*
* # Get by ID
* curl http://localhost:3000/api/get/[id]
*
* # Statistics
* curl http://localhost:3000/api/stats
*/
/**
* Example WebSocket client (browser):
*
* const ws = new WebSocket('ws://localhost:3000/ws')
*
* ws.onopen = () => {
* // Subscribe to all operations
* ws.send(JSON.stringify({
* type: 'subscribe',
* operations: ['all']
* }))
*
* // Perform a search
* ws.send(JSON.stringify({
* type: 'search',
* query: 'fox',
* limit: 5,
* requestId: '123'
* }))
* }
*
* ws.onmessage = (event) => {
* const msg = JSON.parse(event.data)
* console.log('Received:', msg)
* }
*/

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@ -1,49 +0,0 @@
/**
* Zero-Config Augmentations Example
*
* Brainy's philosophy: Everything just works with zero configuration.
* Augmentations extend Brainy without any complex setup.
*/
import { Brainy } from '../src/index.js'
import { EntityRegistryAugmentation } from '../src/augmentations/entityRegistryAugmentation.js'
import { BatchProcessingAugmentation } from '../src/augmentations/batchProcessingAugmentation.js'
import { APIServerAugmentation } from '../src/augmentations/apiServerAugmentation.js'
async function main() {
// Create Brainy - zero config!
const brain = new Brainy()
// Register augmentations - they just work!
brain.augmentations.register(new EntityRegistryAugmentation()) // Deduplication
brain.augmentations.register(new BatchProcessingAugmentation()) // Performance
brain.augmentations.register(new APIServerAugmentation()) // API exposure
// Initialize Brainy (augmentations auto-initialize)
await brain.init()
// Use Brainy normally - augmentations work transparently
await brain.add({ data: "Hello world", type: 'content', metadata: { type: "greeting" } })
// Batch operations automatically optimized
await brain.addBatch([
{ content: "Item 1", metadata: { id: 1 } },
{ content: "Item 2", metadata: { id: 2 } },
{ content: "Item 3", metadata: { id: 3 } }
])
// Search works with all augmentations active
const results = await brain.search("hello")
console.log('Search results:', results)
// API server is running at http://localhost:3000
console.log('✨ Brainy is running with:')
console.log(' - Write-ahead logging (durability)')
console.log(' - Entity deduplication (performance)')
console.log(' - Batch optimization (speed)')
console.log(' - REST/WebSocket/MCP APIs (connectivity)')
console.log('')
console.log('Zero configuration required!')
}
main().catch(console.error)

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@ -49,11 +49,8 @@ try {
test('Memory storage configured', brain.storage && brain.storage.storageType === 'memory')
console.log('\n📊 API Architecture Validation:')
// Test 5: Augmentation system structure
test('Augmentations system exists', brain.augmentations !== undefined)
// Test 6: Core properties exist
// Test 5: Core properties exist
test('Index system exists', brain.index !== undefined)
test('Storage system exists', brain.storage !== undefined)

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@ -1,89 +0,0 @@
/**
* Test script to verify storage augmentation system works
*/
import { Brainy } from '../../dist/index.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 Brainy()
await brain.init()
await brain.add('test', { content: 'Zero-config test' })
const results = await brain.search('test', { limit: 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 Brainy({
storage: {
forceMemoryStorage: true
}
})
await brain.init()
await brain.add('config test', { content: 'Config-based test' })
const results = await brain.search('config', { limit: 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 Brainy()
// 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', { limit: 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 Brainy({
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()