David Snelling
8ff382ca3b
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
740 lines
No EOL
24 KiB
TypeScript
740 lines
No EOL
24 KiB
TypeScript
/**
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* 🧠 Brainy 3.0 - The Future of Neural Databases
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*
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* Beautiful, Professional, Planet-Scale, Fun to Use
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* NO STUBS, NO MOCKS, REAL IMPLEMENTATION
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*/
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import { v4 as uuidv4 } from './universal/uuid.js';
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import { HNSWIndex } from './hnsw/hnswIndex.js';
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import { HNSWIndexOptimized } from './hnsw/hnswIndexOptimized.js';
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import { createStorage } from './storage/storageFactory.js';
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import { cosineDistance } from './utils/index.js';
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import { validateNounType, validateVerbType } from './utils/typeValidation.js';
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import { matchesMetadataFilter } from './utils/metadataFilter.js';
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import { AugmentationRegistry } from './augmentations/brainyAugmentation.js';
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import { createDefaultAugmentations } from './augmentations/defaultAugmentations.js';
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import { ImprovedNeuralAPI } from './neural/improvedNeuralAPI.js';
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import { NaturalLanguageProcessor } from './neural/naturalLanguageProcessor.js';
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import { NounType } from './types/graphTypes.js';
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/**
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* The main Brainy class - Clean, Beautiful, Powerful
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* REAL IMPLEMENTATION - No stubs, no mocks
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*/
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export class Brainy {
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constructor(config) {
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// State
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this.initialized = false;
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// Normalize configuration with defaults
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this.config = this.normalizeConfig(config);
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// Setup core components
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this.distance = cosineDistance;
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this.embedder = this.setupEmbedder();
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this.augmentationRegistry = this.setupAugmentations();
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// Index and storage are initialized in init() because they may need each other
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}
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/**
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* Initialize Brainy - MUST be called before use
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*/
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async init() {
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if (this.initialized) {
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return;
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}
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try {
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// Setup and initialize storage
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this.storage = await this.setupStorage();
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await this.storage.init();
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// Setup index now that we have storage
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this.index = this.setupIndex();
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// Initialize augmentations
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await this.augmentationRegistry.initializeAll({
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brain: this,
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storage: this.storage,
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config: this.config,
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log: (message, level = 'info') => {
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// Simple logging for now
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if (level === 'error') {
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console.error(message);
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}
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else if (level === 'warn') {
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console.warn(message);
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}
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else {
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console.log(message);
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}
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}
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});
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// Warm up if configured
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if (this.config.warmup) {
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await this.warmup();
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}
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this.initialized = true;
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}
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catch (error) {
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throw new Error(`Failed to initialize Brainy: ${error}`);
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}
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}
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/**
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* Ensure Brainy is initialized
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*/
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async ensureInitialized() {
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if (!this.initialized) {
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throw new Error('Brainy not initialized. Call init() first.');
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}
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}
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// ============= CORE CRUD OPERATIONS =============
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/**
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* Add an entity to the database
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*/
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async add(params) {
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await this.ensureInitialized();
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// Validate parameters
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if (!params.data && !params.vector) {
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throw new Error('Either data or vector is required');
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}
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validateNounType(params.type);
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// Generate ID if not provided
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const id = params.id || uuidv4();
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// Get or compute vector
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const vector = params.vector || (await this.embed(params.data));
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// Ensure dimensions are set
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if (!this.dimensions) {
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this.dimensions = vector.length;
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}
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else if (vector.length !== this.dimensions) {
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throw new Error(`Vector dimension mismatch: expected ${this.dimensions}, got ${vector.length}`);
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}
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// Execute through augmentation pipeline
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return this.augmentationRegistry.execute('add', params, async () => {
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// Add to index
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await this.index.addItem({ id, vector });
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// Save to storage
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await this.storage.saveNoun({
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id,
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vector,
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connections: new Map(),
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level: 0,
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metadata: {
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...params.metadata,
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noun: params.type,
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service: params.service,
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createdAt: Date.now()
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}
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});
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return id;
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});
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}
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/**
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* Get an entity by ID
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*/
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async get(id) {
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await this.ensureInitialized();
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return this.augmentationRegistry.execute('get', { id }, async () => {
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// Get from storage
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const noun = await this.storage.getNoun(id);
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if (!noun) {
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return null;
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}
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// Extract metadata - separate user metadata from system metadata
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const { noun: nounType, service, createdAt, updatedAt, ...userMetadata } = noun.metadata || {};
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// Construct entity from noun
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const entity = {
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id: noun.id,
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vector: noun.vector,
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type: nounType || NounType.Thing,
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metadata: userMetadata,
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service: service,
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createdAt: createdAt || Date.now(),
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updatedAt: updatedAt
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};
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return entity;
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});
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}
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/**
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* Update an entity
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*/
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async update(params) {
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await this.ensureInitialized();
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if (!params.id) {
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throw new Error('ID is required for update');
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}
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return this.augmentationRegistry.execute('update', params, async () => {
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// Get existing entity
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const existing = await this.get(params.id);
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if (!existing) {
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throw new Error(`Entity ${params.id} not found`);
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}
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// Update vector if data changed
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let vector = existing.vector;
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if (params.data) {
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vector = params.vector || (await this.embed(params.data));
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// Update in index (remove and re-add since no update method)
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await this.index.removeItem(params.id);
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await this.index.addItem({ id: params.id, vector });
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}
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// Always update the noun with new metadata
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const newMetadata = params.merge !== false
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? { ...existing.metadata, ...params.metadata }
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: params.metadata || existing.metadata;
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await this.storage.saveNoun({
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id: params.id,
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vector,
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connections: new Map(),
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level: 0,
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metadata: {
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...newMetadata,
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noun: params.type || existing.type,
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service: existing.service,
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createdAt: existing.createdAt,
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updatedAt: Date.now()
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}
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});
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});
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}
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/**
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* Delete an entity
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*/
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async delete(id) {
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await this.ensureInitialized();
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return this.augmentationRegistry.execute('delete', { id }, async () => {
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// Remove from index
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await this.index.removeItem(id);
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// Delete from storage
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await this.storage.deleteNoun(id);
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// Delete metadata (if it exists as separate)
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try {
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await this.storage.saveMetadata(id, null); // Clear metadata
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}
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catch {
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// Ignore if not supported
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}
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// Delete related verbs
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const verbs = await this.storage.getVerbsBySource(id);
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const targetVerbs = await this.storage.getVerbsByTarget(id);
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const allVerbs = [...verbs, ...targetVerbs];
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for (const verb of allVerbs) {
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await this.storage.deleteVerb(verb.id);
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}
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});
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}
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// ============= RELATIONSHIP OPERATIONS =============
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/**
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* Create a relationship between entities
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*/
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async relate(params) {
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await this.ensureInitialized();
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// Validate parameters
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if (!params.from || !params.to) {
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throw new Error('Both from and to are required');
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}
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validateVerbType(params.type);
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// Verify entities exist
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const fromEntity = await this.get(params.from);
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const toEntity = await this.get(params.to);
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if (!fromEntity) {
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throw new Error(`Source entity ${params.from} not found`);
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}
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if (!toEntity) {
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throw new Error(`Target entity ${params.to} not found`);
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}
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// Generate ID
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const id = uuidv4();
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// Compute relationship vector (average of entities)
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const relationVector = fromEntity.vector.map((v, i) => (v + toEntity.vector[i]) / 2);
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return this.augmentationRegistry.execute('relate', params, async () => {
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// Save to storage
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const verb = {
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id,
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vector: relationVector,
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sourceId: params.from,
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targetId: params.to,
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source: fromEntity.type,
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target: toEntity.type,
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verb: params.type,
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type: params.type,
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weight: params.weight ?? 1.0,
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metadata: params.metadata,
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createdAt: Date.now()
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};
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await this.storage.saveVerb(verb);
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// Create bidirectional if requested
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if (params.bidirectional) {
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const reverseId = uuidv4();
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const reverseVerb = {
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...verb,
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id: reverseId,
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sourceId: params.to,
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targetId: params.from,
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source: toEntity.type,
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target: fromEntity.type
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};
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await this.storage.saveVerb(reverseVerb);
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}
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return id;
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});
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}
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/**
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* Delete a relationship
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*/
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async unrelate(id) {
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await this.ensureInitialized();
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return this.augmentationRegistry.execute('unrelate', { id }, async () => {
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await this.storage.deleteVerb(id);
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});
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}
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/**
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* Get relationships
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*/
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async getRelations(params = {}) {
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await this.ensureInitialized();
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const relations = [];
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if (params.from) {
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const verbs = await this.storage.getVerbsBySource(params.from);
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relations.push(...this.verbsToRelations(verbs));
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}
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if (params.to) {
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const verbs = await this.storage.getVerbsByTarget(params.to);
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relations.push(...this.verbsToRelations(verbs));
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}
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// Filter by type
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let filtered = relations;
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if (params.type) {
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const types = Array.isArray(params.type) ? params.type : [params.type];
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filtered = relations.filter((r) => types.includes(r.type));
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}
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// Filter by service
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if (params.service) {
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filtered = filtered.filter((r) => r.service === params.service);
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}
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// Apply pagination
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const limit = params.limit || 100;
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const offset = params.offset || 0;
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return filtered.slice(offset, offset + limit);
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}
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// ============= SEARCH & DISCOVERY =============
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/**
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* Unified find method - supports natural language and structured queries
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*/
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async find(query) {
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await this.ensureInitialized();
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// Parse natural language queries
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const params = typeof query === 'string' ? await this.parseNaturalQuery(query) : query;
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return this.augmentationRegistry.execute('find', params, async () => {
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let results = [];
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// Vector search
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if (params.query || params.vector) {
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const vector = params.vector || (await this.embed(params.query));
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const limit = params.limit || 10;
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// Search index - returns array of [id, score] tuples
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const searchResults = await this.index.search(vector, limit * 2); // Get extra for filtering
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// Hydrate results
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for (const [id, score] of searchResults) {
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const entity = await this.get(id);
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if (entity) {
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results.push({
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id,
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score,
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entity
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});
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}
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}
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}
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// Proximity search
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if (params.near) {
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const nearEntity = await this.get(params.near.id);
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if (nearEntity) {
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const nearResults = await this.index.search(nearEntity.vector, params.limit || 10);
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for (const [id, score] of nearResults) {
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if (score >= (params.near.threshold || 0.7)) {
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const entity = await this.get(id);
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if (entity) {
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results.push({
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id,
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score,
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entity
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});
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}
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}
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}
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}
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}
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// Apply filters
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if (params.where) {
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results = results.filter((r) => matchesMetadataFilter(r.entity.metadata, params.where));
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}
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if (params.type) {
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const types = Array.isArray(params.type) ? params.type : [params.type];
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results = results.filter((r) => types.includes(r.entity.type));
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}
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if (params.service) {
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results = results.filter((r) => r.entity.service === params.service);
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}
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// Graph constraints
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if (params.connected) {
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results = await this.applyGraphConstraints(results, params.connected);
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}
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// Sort by score and limit
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results.sort((a, b) => b.score - a.score);
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const limit = params.limit || 10;
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const offset = params.offset || 0;
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return results.slice(offset, offset + limit);
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});
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}
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/**
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* Find similar entities
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*/
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async similar(params) {
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await this.ensureInitialized();
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// Get target vector
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let targetVector;
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if (typeof params.to === 'string') {
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const entity = await this.get(params.to);
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if (!entity) {
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throw new Error(`Entity ${params.to} not found`);
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}
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targetVector = entity.vector;
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}
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else if (Array.isArray(params.to)) {
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targetVector = params.to;
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}
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else {
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targetVector = params.to.vector;
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}
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// Use find with vector
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return this.find({
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vector: targetVector,
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limit: params.limit,
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type: params.type,
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where: params.where,
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service: params.service
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});
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}
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// ============= BATCH OPERATIONS =============
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/**
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* Add multiple entities
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*/
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async addMany(params) {
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await this.ensureInitialized();
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const result = {
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successful: [],
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failed: [],
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total: params.items.length,
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duration: 0
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};
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const startTime = Date.now();
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const chunkSize = params.chunkSize || 100;
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// Process in chunks
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for (let i = 0; i < params.items.length; i += chunkSize) {
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const chunk = params.items.slice(i, i + chunkSize);
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const promises = chunk.map(async (item) => {
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try {
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const id = await this.add(item);
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result.successful.push(id);
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}
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catch (error) {
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result.failed.push({
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item,
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error: error.message
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});
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if (!params.continueOnError) {
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throw error;
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}
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}
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});
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if (params.parallel !== false) {
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await Promise.allSettled(promises);
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}
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else {
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for (const promise of promises) {
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await promise;
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}
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}
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// Report progress
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if (params.onProgress) {
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params.onProgress(result.successful.length + result.failed.length, result.total);
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}
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}
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result.duration = Date.now() - startTime;
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return result;
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}
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/**
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* Delete multiple entities
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*/
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async deleteMany(params) {
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await this.ensureInitialized();
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// Determine what to delete
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let idsToDelete = [];
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if (params.ids) {
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idsToDelete = params.ids;
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}
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else if (params.type || params.where) {
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// Find entities to delete
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const entities = await this.find({
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type: params.type,
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where: params.where,
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limit: params.limit || 1000
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});
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idsToDelete = entities.map((e) => e.id);
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}
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const result = {
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successful: [],
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failed: [],
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total: idsToDelete.length,
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duration: 0
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};
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const startTime = Date.now();
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for (const id of idsToDelete) {
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try {
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await this.delete(id);
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result.successful.push(id);
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}
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catch (error) {
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result.failed.push({
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item: id,
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error: error.message
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});
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}
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if (params.onProgress) {
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params.onProgress(result.successful.length + result.failed.length, result.total);
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}
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}
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result.duration = Date.now() - startTime;
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return result;
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}
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// ============= SUB-APIS =============
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/**
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* Neural API - Advanced AI operations
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*/
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neural() {
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if (!this._neural) {
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this._neural = new ImprovedNeuralAPI(this);
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}
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return this._neural;
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}
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}
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return this._neural;
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/**
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* Neural API - Advanced AI operations
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*/
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neural();
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{
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if (!this._neural) {
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this._neural = new ImprovedNeuralAPI(this);
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}
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return this._neural;
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}
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/**
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* Natural Language Processing API
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*/
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nlp();
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{
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if (!this._nlp) {
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this._nlp = new NaturalLanguageProcessor(this);
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}
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return this._nlp;
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}
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/**
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* Create a streaming pipeline
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*/
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stream();
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{
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const { Pipeline } = require('./streaming/pipeline.js');
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return new Pipeline(this);
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}
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/**
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* Get insights about the data
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|
*/
|
|
async;
|
|
insights();
|
|
Promise < {
|
|
entities: number,
|
|
relationships: number,
|
|
types: (Record),
|
|
services: string[],
|
|
density: number
|
|
} > {
|
|
await, this: .ensureInitialized()
|
|
// Get all entities count
|
|
,
|
|
// Get all entities count
|
|
const: allEntities = await this.storage.getAllNouns(),
|
|
const: entities = allEntities.length
|
|
// Get relationships count
|
|
,
|
|
// Get relationships count
|
|
const: allVerbs = await this.storage.getAllVerbs(),
|
|
const: relationships = allVerbs.length
|
|
// Count by type
|
|
,
|
|
// Count by type
|
|
const: types
|
|
};
|
|
{ }
|
|
for (const entity of allEntities) {
|
|
const type = entity.metadata?.noun || 'unknown';
|
|
types[type] = (types[type] || 0) + 1;
|
|
}
|
|
// Get unique services
|
|
const services = [...new Set(allEntities.map(e => e.metadata?.service).filter(Boolean))];
|
|
// Calculate density (relationships per entity)
|
|
const density = entities > 0 ? relationships / entities : 0;
|
|
return {
|
|
entities,
|
|
relationships,
|
|
types,
|
|
services,
|
|
density
|
|
};
|
|
/**
|
|
* Augmentations API - Clean and simple
|
|
*/
|
|
get;
|
|
augmentations();
|
|
{
|
|
return {
|
|
list: () => this.augmentationRegistry.getAll().map(a => a.name),
|
|
get: (name) => this.augmentationRegistry.getAll().find(a => a.name === name),
|
|
has: (name) => this.augmentationRegistry.getAll().some(a => a.name === name)
|
|
};
|
|
}
|
|
async;
|
|
parseNaturalQuery(query, string);
|
|
Promise < FindParams < T >> {
|
|
: ._nlp
|
|
};
|
|
{
|
|
this._nlp = new NaturalLanguageProcessor(this);
|
|
}
|
|
const parsed = await this._nlp.processNaturalQuery(query);
|
|
return parsed;
|
|
async;
|
|
applyGraphConstraints(results, Result < T > [], constraints, any);
|
|
Promise < Result < T > [] > {
|
|
// Filter by graph connections
|
|
if(constraints) { }, : .to || constraints.from
|
|
};
|
|
{
|
|
const filtered = [];
|
|
for (const result of results) {
|
|
if (constraints.to) {
|
|
const verbs = await this.storage.getVerbsBySource(result.id);
|
|
const hasConnection = verbs.some(v => v.targetId === constraints.to);
|
|
if (hasConnection) {
|
|
filtered.push(result);
|
|
}
|
|
}
|
|
if (constraints.from) {
|
|
const verbs = await this.storage.getVerbsByTarget(result.id);
|
|
const hasConnection = verbs.some(v => v.sourceId === constraints.from);
|
|
if (hasConnection) {
|
|
filtered.push(result);
|
|
}
|
|
}
|
|
}
|
|
return filtered;
|
|
}
|
|
return results;
|
|
verbsToRelations(verbs, GraphVerb[]);
|
|
Relation < T > [];
|
|
{
|
|
return verbs.map((v) => ({
|
|
id: v.id,
|
|
from: v.sourceId,
|
|
to: v.targetId,
|
|
type: (v.verb || v.type),
|
|
weight: v.weight,
|
|
metadata: v.metadata,
|
|
service: v.metadata?.service,
|
|
createdAt: typeof v.createdAt === 'number' ? v.createdAt : Date.now()
|
|
}));
|
|
}
|
|
async;
|
|
embed(data, any);
|
|
Promise < Vector > {
|
|
return: this.embedder(data)
|
|
};
|
|
async;
|
|
warmup();
|
|
Promise < void > {
|
|
// Warm up embedder
|
|
await, this: .embed('warmup')
|
|
};
|
|
setupEmbedder();
|
|
EmbeddingFunction;
|
|
{
|
|
if (this.config.model?.type === 'custom' && this.config.model.name) {
|
|
// TODO: Load custom model
|
|
return defaultEmbeddingFunction;
|
|
}
|
|
return defaultEmbeddingFunction;
|
|
}
|
|
async;
|
|
setupStorage();
|
|
Promise < StorageAdapter > {
|
|
const: storage = await createStorage({
|
|
type: this.config.storage?.type || 'memory',
|
|
...this.config.storage?.options
|
|
}),
|
|
return: storage
|
|
};
|
|
setupIndex();
|
|
HNSWIndex | HNSWIndexOptimized;
|
|
{
|
|
const indexConfig = {
|
|
...this.config.index,
|
|
distanceFunction: this.distance
|
|
};
|
|
// Use optimized index for larger datasets
|
|
if (this.config.storage?.type !== 'memory') {
|
|
return new HNSWIndexOptimized(indexConfig, this.distance, this.storage);
|
|
}
|
|
return new HNSWIndex(indexConfig);
|
|
}
|
|
setupAugmentations();
|
|
AugmentationRegistry;
|
|
{
|
|
const registry = new AugmentationRegistry();
|
|
// Register default augmentations
|
|
const defaults = createDefaultAugmentations(this.config.augmentations);
|
|
for (const aug of defaults) {
|
|
registry.register(aug);
|
|
}
|
|
return registry;
|
|
}
|
|
normalizeConfig(config ? : BrainyConfig);
|
|
Required < BrainyConfig > {
|
|
return: {
|
|
storage: config?.storage || { type: 'memory' },
|
|
model: config?.model || { type: 'fast' },
|
|
index: config?.index || {},
|
|
cache: config?.cache ?? true,
|
|
augmentations: config?.augmentations || {},
|
|
warmup: config?.warmup ?? false,
|
|
realtime: config?.realtime ?? false,
|
|
multiTenancy: config?.multiTenancy ?? false,
|
|
telemetry: config?.telemetry ?? false
|
|
}
|
|
};
|
|
/**
|
|
* Close and cleanup
|
|
*/
|
|
async;
|
|
close();
|
|
Promise < void > {
|
|
// Shutdown augmentations
|
|
const: augs = this.augmentationRegistry.getAll(),
|
|
for(, aug, of, augs) {
|
|
if ('shutdown' in aug && typeof aug.shutdown === 'function') {
|
|
await aug.shutdown();
|
|
}
|
|
}
|
|
// Storage doesn't have close in current interface
|
|
// We'll just mark as not initialized
|
|
,
|
|
// Storage doesn't have close in current interface
|
|
// We'll just mark as not initialized
|
|
this: .initialized = false
|
|
};
|
|
// Re-export types for convenience
|
|
export * from './types/brainy.types.js';
|
|
export { NounType, VerbType } from './types/graphTypes.js';
|
|
//# sourceMappingURL=brainy.js.map
|