CHECKPOINT: Brainy 2.0 API refactor - pre-fixes state

Current state:
- Unified augmentation system to BrainyAugmentation interface
- Changed methods to specific noun/verb naming (addNoun, getNoun, etc)
- Made old methods private
- Combined getNouns into single unified method
- Neural API exists and is complete
- Triple Intelligence uses correct Brainy operators (not MongoDB)

Issues identified:
- Documentation incorrectly shows MongoDB operators (code is correct)
- Need to ensure all features are properly exposed
- Need to verify nothing was lost in simplification

This commit serves as a rollback point before applying fixes.
This commit is contained in:
David Snelling 2025-08-25 09:52:32 -07:00
commit 26c7d61185
279 changed files with 177945 additions and 0 deletions

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/**
* 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 { BrainyData } from '../src/index.js'
import { APIServerAugmentation } from '../src/augmentations/apiServerAugmentation.js'
async function main() {
// 1. Create Brainy with zero config
const brain = new BrainyData()
await brain.init()
// 2. Add some sample data
await brain.add("The quick brown fox", { type: "sentence", category: "animals" })
await brain.add("Machine learning models", { type: "tech", category: "AI" })
await brain.add("Natural language processing", { 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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/**
* Zero-Config Augmentations Example
*
* Brainy's philosophy: Everything just works with zero configuration.
* Augmentations extend Brainy without any complex setup.
*/
import { BrainyData } from '../src/index.js'
import { WALAugmentation } from '../src/augmentations/walAugmentation.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 BrainyData()
// Register augmentations - they just work!
brain.augmentations.register(new WALAugmentation()) // Durability
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("Hello world", { 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)