brainy/src/storage/baseStorage.ts

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🧠 Brainy 2.0.0 - Zero-Configuration AI Database with Triple Intelligence™ MAJOR RELEASE: Complete evolution of Brainy with groundbreaking features and performance. 🎯 KEY FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✨ Triple Intelligence™ Engine - Unified Vector + Metadata + Graph search - O(log n) performance on all operations - 3ms average search latency at any scale ✨ API Consolidation - 15+ search methods → 2 clean APIs - search() for vector similarity - find() for natural language queries ✨ Natural Language Processing - 220+ pre-computed NLP patterns - Instant context understanding - "Show me recent React components with tests" ✨ Zero Configuration - Works instantly, no setup required - Built-in embedding models (no API keys) - Smart defaults for everything - Automatic optimization ✨ Enterprise Features (Free for Everyone) - Scales to 10M+ items - Write-Ahead Logging (WAL) for durability - Distributed architecture with sharding - Read/write separation - Connection pooling & request deduplication - Built-in monitoring & health checks ✨ Universal Compatibility - Node.js, Browser, Edge Workers - 4 Storage Adapters (Memory, FileSystem, OPFS, S3) - TypeScript with full type safety - Worker-based embeddings 📦 WHAT'S INCLUDED: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Core AI Database with HNSW indexing • 19 Production-ready augmentations • Universal Memory Manager • Complete CLI with all commands • Brain Cloud integration (soulcraft.com) • Comprehensive documentation • 52 test files with 400+ tests • Migration guide from 1.x 📊 PERFORMANCE: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Initialize: 450ms (24MB memory) • Search: 3ms average (up to 10M items) • Metadata Filter: 0.8ms (O(log n)) • Bulk Import: 2.3s per 1000 items • Production Scale: 5.8ms at 10M items 🔧 TECHNICAL IMPROVEMENTS: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • TypeScript compilation: 153 errors → 0 • Memory usage: 200MB → 24MB baseline • Circular dependencies resolved • Worker thread communication fixed • Storage adapter consistency • Request coalescing for 3x performance 🛠️ CLI FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • brainy add - Smart data ingestion • brainy find - Natural language search • brainy search - Vector similarity • brainy chat - AI conversation mode • brainy cloud - Brain Cloud integration • brainy augment - Manage extensions • 100% API compatibility 📚 DOCUMENTATION: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Professional README with examples • Quick Start guide (5 minutes) • Enterprise Features guide • Migration guide from 1.x • API reference • Architecture documentation 🌟 USE CASES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • AI memory layer for chatbots • Semantic document search • Code intelligence platforms • Knowledge management systems • Real-time recommendation engines • Customer support automation MIT License - Enterprise features included free for everyone. No premium tiers, no paywalls, no limits. Built with ❤️ by the Brainy community. Visit https://soulcraft.com for Brain Cloud integration.
2025-08-26 12:32:21 -07:00
/**
* Base Storage Adapter
* Provides common functionality for all storage adapters
*/
import { GraphVerb, HNSWNoun, HNSWVerb, StatisticsData } from '../coreTypes.js'
import { BaseStorageAdapter } from './adapters/baseStorageAdapter.js'
import { validateNounType, validateVerbType } from '../utils/typeValidation.js'
import { NounType, VerbType } from '../types/graphTypes.js'
🧠 Brainy 2.0.0 - Zero-Configuration AI Database with Triple Intelligence™ MAJOR RELEASE: Complete evolution of Brainy with groundbreaking features and performance. 🎯 KEY FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✨ Triple Intelligence™ Engine - Unified Vector + Metadata + Graph search - O(log n) performance on all operations - 3ms average search latency at any scale ✨ API Consolidation - 15+ search methods → 2 clean APIs - search() for vector similarity - find() for natural language queries ✨ Natural Language Processing - 220+ pre-computed NLP patterns - Instant context understanding - "Show me recent React components with tests" ✨ Zero Configuration - Works instantly, no setup required - Built-in embedding models (no API keys) - Smart defaults for everything - Automatic optimization ✨ Enterprise Features (Free for Everyone) - Scales to 10M+ items - Write-Ahead Logging (WAL) for durability - Distributed architecture with sharding - Read/write separation - Connection pooling & request deduplication - Built-in monitoring & health checks ✨ Universal Compatibility - Node.js, Browser, Edge Workers - 4 Storage Adapters (Memory, FileSystem, OPFS, S3) - TypeScript with full type safety - Worker-based embeddings 📦 WHAT'S INCLUDED: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Core AI Database with HNSW indexing • 19 Production-ready augmentations • Universal Memory Manager • Complete CLI with all commands • Brain Cloud integration (soulcraft.com) • Comprehensive documentation • 52 test files with 400+ tests • Migration guide from 1.x 📊 PERFORMANCE: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Initialize: 450ms (24MB memory) • Search: 3ms average (up to 10M items) • Metadata Filter: 0.8ms (O(log n)) • Bulk Import: 2.3s per 1000 items • Production Scale: 5.8ms at 10M items 🔧 TECHNICAL IMPROVEMENTS: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • TypeScript compilation: 153 errors → 0 • Memory usage: 200MB → 24MB baseline • Circular dependencies resolved • Worker thread communication fixed • Storage adapter consistency • Request coalescing for 3x performance 🛠️ CLI FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • brainy add - Smart data ingestion • brainy find - Natural language search • brainy search - Vector similarity • brainy chat - AI conversation mode • brainy cloud - Brain Cloud integration • brainy augment - Manage extensions • 100% API compatibility 📚 DOCUMENTATION: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Professional README with examples • Quick Start guide (5 minutes) • Enterprise Features guide • Migration guide from 1.x • API reference • Architecture documentation 🌟 USE CASES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • AI memory layer for chatbots • Semantic document search • Code intelligence platforms • Knowledge management systems • Real-time recommendation engines • Customer support automation MIT License - Enterprise features included free for everyone. No premium tiers, no paywalls, no limits. Built with ❤️ by the Brainy community. Visit https://soulcraft.com for Brain Cloud integration.
2025-08-26 12:32:21 -07:00
// Common directory/prefix names
// Option A: Entity-Based Directory Structure
export const ENTITIES_DIR = 'entities'
export const NOUNS_VECTOR_DIR = 'entities/nouns/vectors'
export const NOUNS_METADATA_DIR = 'entities/nouns/metadata'
export const VERBS_VECTOR_DIR = 'entities/verbs/vectors'
export const VERBS_METADATA_DIR = 'entities/verbs/metadata'
export const INDEXES_DIR = 'indexes'
export const METADATA_INDEX_DIR = 'indexes/metadata'
// Legacy paths - kept for backward compatibility during migration
export const NOUNS_DIR = 'nouns' // Legacy: now maps to entities/nouns/vectors
export const VERBS_DIR = 'verbs' // Legacy: now maps to entities/verbs/vectors
export const METADATA_DIR = 'metadata' // Legacy: now maps to entities/nouns/metadata
export const NOUN_METADATA_DIR = 'noun-metadata' // Legacy: now maps to entities/nouns/metadata
export const VERB_METADATA_DIR = 'verb-metadata' // Legacy: now maps to entities/verbs/metadata
export const INDEX_DIR = 'index' // Legacy - kept for backward compatibility
export const SYSTEM_DIR = '_system' // System config & metadata indexes
export const STATISTICS_KEY = 'statistics'
// Migration version to track compatibility
export const STORAGE_SCHEMA_VERSION = 3 // v3: Entity-Based Directory Structure (Option A)
// Configuration flag to enable new directory structure
export const USE_ENTITY_BASED_STRUCTURE = true // Set to true to use Option A structure
/**
* Get the appropriate directory path based on configuration
*/
export function getDirectoryPath(entityType: 'noun' | 'verb', dataType: 'vector' | 'metadata'): string {
if (USE_ENTITY_BASED_STRUCTURE) {
// Option A: Entity-Based Structure
if (entityType === 'noun') {
return dataType === 'vector' ? NOUNS_VECTOR_DIR : NOUNS_METADATA_DIR
} else {
return dataType === 'vector' ? VERBS_VECTOR_DIR : VERBS_METADATA_DIR
}
} else {
// Legacy structure
if (entityType === 'noun') {
return dataType === 'vector' ? NOUNS_DIR : METADATA_DIR
} else {
return dataType === 'vector' ? VERBS_DIR : VERB_METADATA_DIR
}
}
}
/**
* Base storage adapter that implements common functionality
* This is an abstract class that should be extended by specific storage adapters
*/
export abstract class BaseStorage extends BaseStorageAdapter {
protected isInitialized = false
protected readOnly = false
/**
* Initialize the storage adapter
* This method should be implemented by each specific adapter
*/
public abstract init(): Promise<void>
/**
* Ensure the storage adapter is initialized
*/
protected async ensureInitialized(): Promise<void> {
if (!this.isInitialized) {
await this.init()
}
}
/**
* Save a noun to storage
*/
public async saveNoun(noun: HNSWNoun): Promise<void> {
await this.ensureInitialized()
// Validate noun type before saving - storage boundary protection
const metadata = await this.getNounMetadata(noun.id)
if (metadata?.noun) {
validateNounType(metadata.noun)
}
🧠 Brainy 2.0.0 - Zero-Configuration AI Database with Triple Intelligence™ MAJOR RELEASE: Complete evolution of Brainy with groundbreaking features and performance. 🎯 KEY FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✨ Triple Intelligence™ Engine - Unified Vector + Metadata + Graph search - O(log n) performance on all operations - 3ms average search latency at any scale ✨ API Consolidation - 15+ search methods → 2 clean APIs - search() for vector similarity - find() for natural language queries ✨ Natural Language Processing - 220+ pre-computed NLP patterns - Instant context understanding - "Show me recent React components with tests" ✨ Zero Configuration - Works instantly, no setup required - Built-in embedding models (no API keys) - Smart defaults for everything - Automatic optimization ✨ Enterprise Features (Free for Everyone) - Scales to 10M+ items - Write-Ahead Logging (WAL) for durability - Distributed architecture with sharding - Read/write separation - Connection pooling & request deduplication - Built-in monitoring & health checks ✨ Universal Compatibility - Node.js, Browser, Edge Workers - 4 Storage Adapters (Memory, FileSystem, OPFS, S3) - TypeScript with full type safety - Worker-based embeddings 📦 WHAT'S INCLUDED: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Core AI Database with HNSW indexing • 19 Production-ready augmentations • Universal Memory Manager • Complete CLI with all commands • Brain Cloud integration (soulcraft.com) • Comprehensive documentation • 52 test files with 400+ tests • Migration guide from 1.x 📊 PERFORMANCE: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Initialize: 450ms (24MB memory) • Search: 3ms average (up to 10M items) • Metadata Filter: 0.8ms (O(log n)) • Bulk Import: 2.3s per 1000 items • Production Scale: 5.8ms at 10M items 🔧 TECHNICAL IMPROVEMENTS: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • TypeScript compilation: 153 errors → 0 • Memory usage: 200MB → 24MB baseline • Circular dependencies resolved • Worker thread communication fixed • Storage adapter consistency • Request coalescing for 3x performance 🛠️ CLI FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • brainy add - Smart data ingestion • brainy find - Natural language search • brainy search - Vector similarity • brainy chat - AI conversation mode • brainy cloud - Brain Cloud integration • brainy augment - Manage extensions • 100% API compatibility 📚 DOCUMENTATION: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Professional README with examples • Quick Start guide (5 minutes) • Enterprise Features guide • Migration guide from 1.x • API reference • Architecture documentation 🌟 USE CASES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • AI memory layer for chatbots • Semantic document search • Code intelligence platforms • Knowledge management systems • Real-time recommendation engines • Customer support automation MIT License - Enterprise features included free for everyone. No premium tiers, no paywalls, no limits. Built with ❤️ by the Brainy community. Visit https://soulcraft.com for Brain Cloud integration.
2025-08-26 12:32:21 -07:00
return this.saveNoun_internal(noun)
}
/**
* Get a noun from storage
*/
public async getNoun(id: string): Promise<HNSWNoun | null> {
await this.ensureInitialized()
return this.getNoun_internal(id)
}
/**
* Get nouns by noun type
* @param nounType The noun type to filter by
* @returns Promise that resolves to an array of nouns of the specified noun type
*/
public async getNounsByNounType(nounType: string): Promise<HNSWNoun[]> {
await this.ensureInitialized()
return this.getNounsByNounType_internal(nounType)
}
/**
* Delete a noun from storage
*/
public async deleteNoun(id: string): Promise<void> {
await this.ensureInitialized()
return this.deleteNoun_internal(id)
}
/**
* Save a verb to storage
*/
public async saveVerb(verb: GraphVerb): Promise<void> {
await this.ensureInitialized()
// Validate verb type before saving - storage boundary protection
if (verb.verb) {
validateVerbType(verb.verb)
}
🧠 Brainy 2.0.0 - Zero-Configuration AI Database with Triple Intelligence™ MAJOR RELEASE: Complete evolution of Brainy with groundbreaking features and performance. 🎯 KEY FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✨ Triple Intelligence™ Engine - Unified Vector + Metadata + Graph search - O(log n) performance on all operations - 3ms average search latency at any scale ✨ API Consolidation - 15+ search methods → 2 clean APIs - search() for vector similarity - find() for natural language queries ✨ Natural Language Processing - 220+ pre-computed NLP patterns - Instant context understanding - "Show me recent React components with tests" ✨ Zero Configuration - Works instantly, no setup required - Built-in embedding models (no API keys) - Smart defaults for everything - Automatic optimization ✨ Enterprise Features (Free for Everyone) - Scales to 10M+ items - Write-Ahead Logging (WAL) for durability - Distributed architecture with sharding - Read/write separation - Connection pooling & request deduplication - Built-in monitoring & health checks ✨ Universal Compatibility - Node.js, Browser, Edge Workers - 4 Storage Adapters (Memory, FileSystem, OPFS, S3) - TypeScript with full type safety - Worker-based embeddings 📦 WHAT'S INCLUDED: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Core AI Database with HNSW indexing • 19 Production-ready augmentations • Universal Memory Manager • Complete CLI with all commands • Brain Cloud integration (soulcraft.com) • Comprehensive documentation • 52 test files with 400+ tests • Migration guide from 1.x 📊 PERFORMANCE: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Initialize: 450ms (24MB memory) • Search: 3ms average (up to 10M items) • Metadata Filter: 0.8ms (O(log n)) • Bulk Import: 2.3s per 1000 items • Production Scale: 5.8ms at 10M items 🔧 TECHNICAL IMPROVEMENTS: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • TypeScript compilation: 153 errors → 0 • Memory usage: 200MB → 24MB baseline • Circular dependencies resolved • Worker thread communication fixed • Storage adapter consistency • Request coalescing for 3x performance 🛠️ CLI FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • brainy add - Smart data ingestion • brainy find - Natural language search • brainy search - Vector similarity • brainy chat - AI conversation mode • brainy cloud - Brain Cloud integration • brainy augment - Manage extensions • 100% API compatibility 📚 DOCUMENTATION: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Professional README with examples • Quick Start guide (5 minutes) • Enterprise Features guide • Migration guide from 1.x • API reference • Architecture documentation 🌟 USE CASES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • AI memory layer for chatbots • Semantic document search • Code intelligence platforms • Knowledge management systems • Real-time recommendation engines • Customer support automation MIT License - Enterprise features included free for everyone. No premium tiers, no paywalls, no limits. Built with ❤️ by the Brainy community. Visit https://soulcraft.com for Brain Cloud integration.
2025-08-26 12:32:21 -07:00
// Extract the lightweight HNSWVerb data
const hnswVerb: HNSWVerb = {
id: verb.id,
vector: verb.vector,
connections: verb.connections || new Map()
}
// Extract and save the metadata separately
const metadata = {
sourceId: verb.sourceId || verb.source,
targetId: verb.targetId || verb.target,
source: verb.source || verb.sourceId,
target: verb.target || verb.targetId,
type: verb.type || verb.verb,
verb: verb.verb || verb.type,
weight: verb.weight,
metadata: verb.metadata,
data: verb.data,
createdAt: verb.createdAt,
updatedAt: verb.updatedAt,
createdBy: verb.createdBy,
embedding: verb.embedding
}
// Save both the HNSWVerb and metadata atomically
try {
console.log(`[DEBUG] Saving verb ${verb.id}: sourceId=${verb.sourceId}, targetId=${verb.targetId}`)
// Save the HNSWVerb first
await this.saveVerb_internal(hnswVerb)
console.log(`[DEBUG] Successfully saved HNSWVerb file for ${verb.id}`)
// Then save the metadata
await this.saveVerbMetadata(verb.id, metadata)
console.log(`[DEBUG] Successfully saved metadata file for ${verb.id}`)
} catch (error) {
console.error(`[ERROR] Failed to save verb ${verb.id}:`, error)
// Attempt cleanup - remove verb file if metadata failed
try {
const verbExists = await this.getVerb_internal(verb.id)
if (verbExists) {
console.log(`[CLEANUP] Attempting to remove orphaned verb file ${verb.id}`)
await this.deleteVerb_internal(verb.id)
}
} catch (cleanupError) {
console.error(`[ERROR] Failed to cleanup orphaned verb ${verb.id}:`, cleanupError)
}
throw new Error(`Failed to save verb ${verb.id}: ${error instanceof Error ? error.message : String(error)}`)
}
🧠 Brainy 2.0.0 - Zero-Configuration AI Database with Triple Intelligence™ MAJOR RELEASE: Complete evolution of Brainy with groundbreaking features and performance. 🎯 KEY FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✨ Triple Intelligence™ Engine - Unified Vector + Metadata + Graph search - O(log n) performance on all operations - 3ms average search latency at any scale ✨ API Consolidation - 15+ search methods → 2 clean APIs - search() for vector similarity - find() for natural language queries ✨ Natural Language Processing - 220+ pre-computed NLP patterns - Instant context understanding - "Show me recent React components with tests" ✨ Zero Configuration - Works instantly, no setup required - Built-in embedding models (no API keys) - Smart defaults for everything - Automatic optimization ✨ Enterprise Features (Free for Everyone) - Scales to 10M+ items - Write-Ahead Logging (WAL) for durability - Distributed architecture with sharding - Read/write separation - Connection pooling & request deduplication - Built-in monitoring & health checks ✨ Universal Compatibility - Node.js, Browser, Edge Workers - 4 Storage Adapters (Memory, FileSystem, OPFS, S3) - TypeScript with full type safety - Worker-based embeddings 📦 WHAT'S INCLUDED: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Core AI Database with HNSW indexing • 19 Production-ready augmentations • Universal Memory Manager • Complete CLI with all commands • Brain Cloud integration (soulcraft.com) • Comprehensive documentation • 52 test files with 400+ tests • Migration guide from 1.x 📊 PERFORMANCE: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Initialize: 450ms (24MB memory) • Search: 3ms average (up to 10M items) • Metadata Filter: 0.8ms (O(log n)) • Bulk Import: 2.3s per 1000 items • Production Scale: 5.8ms at 10M items 🔧 TECHNICAL IMPROVEMENTS: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • TypeScript compilation: 153 errors → 0 • Memory usage: 200MB → 24MB baseline • Circular dependencies resolved • Worker thread communication fixed • Storage adapter consistency • Request coalescing for 3x performance 🛠️ CLI FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • brainy add - Smart data ingestion • brainy find - Natural language search • brainy search - Vector similarity • brainy chat - AI conversation mode • brainy cloud - Brain Cloud integration • brainy augment - Manage extensions • 100% API compatibility 📚 DOCUMENTATION: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Professional README with examples • Quick Start guide (5 minutes) • Enterprise Features guide • Migration guide from 1.x • API reference • Architecture documentation 🌟 USE CASES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • AI memory layer for chatbots • Semantic document search • Code intelligence platforms • Knowledge management systems • Real-time recommendation engines • Customer support automation MIT License - Enterprise features included free for everyone. No premium tiers, no paywalls, no limits. Built with ❤️ by the Brainy community. Visit https://soulcraft.com for Brain Cloud integration.
2025-08-26 12:32:21 -07:00
}
/**
* Get a verb from storage
*/
public async getVerb(id: string): Promise<GraphVerb | null> {
await this.ensureInitialized()
const hnswVerb = await this.getVerb_internal(id)
if (!hnswVerb) {
return null
}
return this.convertHNSWVerbToGraphVerb(hnswVerb)
}
/**
* Convert HNSWVerb to GraphVerb by combining with metadata
*/
protected async convertHNSWVerbToGraphVerb(hnswVerb: HNSWVerb): Promise<GraphVerb | null> {
try {
const metadata = await this.getVerbMetadata(hnswVerb.id)
if (!metadata) {
return null
}
// Create default timestamp if not present
const defaultTimestamp = {
seconds: Math.floor(Date.now() / 1000),
nanoseconds: (Date.now() % 1000) * 1000000
}
// Create default createdBy if not present
const defaultCreatedBy = {
augmentation: 'unknown',
version: '1.0'
}
return {
id: hnswVerb.id,
vector: hnswVerb.vector,
sourceId: metadata.sourceId,
targetId: metadata.targetId,
source: metadata.source,
target: metadata.target,
verb: metadata.verb,
type: metadata.type,
weight: metadata.weight || 1.0,
metadata: metadata.metadata || {},
createdAt: metadata.createdAt || defaultTimestamp,
updatedAt: metadata.updatedAt || defaultTimestamp,
createdBy: metadata.createdBy || defaultCreatedBy,
data: metadata.data,
embedding: hnswVerb.vector
}
} catch (error) {
console.error(`Failed to convert HNSWVerb to GraphVerb for ${hnswVerb.id}:`, error)
return null
}
}
/**
* Internal method for loading all verbs - used by performance optimizations
* @internal - Do not use directly, use getVerbs() with pagination instead
*/
protected async _loadAllVerbsForOptimization(): Promise<HNSWVerb[]> {
await this.ensureInitialized()
// Only use this for internal optimizations when safe
const result = await this.getVerbs({
pagination: { limit: Number.MAX_SAFE_INTEGER }
})
// Convert GraphVerbs back to HNSWVerbs for internal use
const hnswVerbs: HNSWVerb[] = []
for (const graphVerb of result.items) {
const hnswVerb: HNSWVerb = {
id: graphVerb.id,
vector: graphVerb.vector,
connections: new Map()
}
hnswVerbs.push(hnswVerb)
}
return hnswVerbs
}
/**
* Get verbs by source
*/
public async getVerbsBySource(sourceId: string): Promise<GraphVerb[]> {
await this.ensureInitialized()
// Use the paginated getVerbs method with source filter
const result = await this.getVerbs({
filter: { sourceId }
})
return result.items
}
/**
* Get verbs by target
*/
public async getVerbsByTarget(targetId: string): Promise<GraphVerb[]> {
await this.ensureInitialized()
// Use the paginated getVerbs method with target filter
const result = await this.getVerbs({
filter: { targetId }
})
return result.items
}
/**
* Get verbs by type
*/
public async getVerbsByType(type: string): Promise<GraphVerb[]> {
await this.ensureInitialized()
// Use the paginated getVerbs method with type filter
const result = await this.getVerbs({
filter: { verbType: type }
})
return result.items
}
/**
* Internal method for loading all nouns - used by performance optimizations
* @internal - Do not use directly, use getNouns() with pagination instead
*/
protected async _loadAllNounsForOptimization(): Promise<HNSWNoun[]> {
await this.ensureInitialized()
// Only use this for internal optimizations when safe
const result = await this.getNouns({
pagination: { limit: Number.MAX_SAFE_INTEGER }
})
return result.items
}
/**
* Get nouns with pagination and filtering
* @param options Pagination and filtering options
* @returns Promise that resolves to a paginated result of nouns
*/
public async getNouns(options?: {
pagination?: {
offset?: number
limit?: number
cursor?: string
}
filter?: {
nounType?: string | string[]
service?: string | string[]
metadata?: Record<string, any>
}
}): Promise<{
items: HNSWNoun[]
totalCount?: number
hasMore: boolean
nextCursor?: string
}> {
await this.ensureInitialized()
// Set default pagination values
const pagination = options?.pagination || {}
const limit = pagination.limit || 100
const offset = pagination.offset || 0
const cursor = pagination.cursor
// Optimize for common filter cases to avoid loading all nouns
if (options?.filter) {
// If filtering by nounType only, use the optimized method
if (
options.filter.nounType &&
!options.filter.service &&
!options.filter.metadata
) {
const nounType = Array.isArray(options.filter.nounType)
? options.filter.nounType[0]
: options.filter.nounType
// Get nouns by type directly
const nounsByType = await this.getNounsByNounType_internal(nounType)
// Apply pagination
const paginatedNouns = nounsByType.slice(offset, offset + limit)
const hasMore = offset + limit < nounsByType.length
// Set next cursor if there are more items
let nextCursor: string | undefined = undefined
if (hasMore && paginatedNouns.length > 0) {
const lastItem = paginatedNouns[paginatedNouns.length - 1]
nextCursor = lastItem.id
}
return {
items: paginatedNouns,
totalCount: nounsByType.length,
hasMore,
nextCursor
}
}
}
// For more complex filtering or no filtering, use a paginated approach
// that avoids loading all nouns into memory at once
try {
// First, try to get a count of total nouns (if the adapter supports it)
let totalCount: number | undefined = undefined
try {
// This is an optional method that adapters may implement
if (typeof (this as any).countNouns === 'function') {
totalCount = await (this as any).countNouns(options?.filter)
}
} catch (countError) {
// Ignore errors from count method, it's optional
console.warn('Error getting noun count:', countError)
}
// Check if the adapter has a paginated method for getting nouns
if (typeof (this as any).getNounsWithPagination === 'function') {
// Use the adapter's paginated method
const result = await (this as any).getNounsWithPagination({
limit,
cursor,
filter: options?.filter
})
// Apply offset if needed (some adapters might not support offset)
const items = result.items.slice(offset)
return {
items,
totalCount: result.totalCount || totalCount,
hasMore: result.hasMore,
nextCursor: result.nextCursor
}
}
// Storage adapter does not support pagination
console.error(
'Storage adapter does not support pagination. The deprecated getAllNouns_internal() method has been removed. Please implement getNounsWithPagination() in your storage adapter.'
)
return {
items: [],
totalCount: 0,
hasMore: false
}
} catch (error) {
console.error('Error getting nouns with pagination:', error)
return {
items: [],
totalCount: 0,
hasMore: false
}
}
}
/**
* Get verbs with pagination and filtering
* @param options Pagination and filtering options
* @returns Promise that resolves to a paginated result of verbs
*/
public async getVerbs(options?: {
pagination?: {
offset?: number
limit?: number
cursor?: string
}
filter?: {
verbType?: string | string[]
sourceId?: string | string[]
targetId?: string | string[]
service?: string | string[]
metadata?: Record<string, any>
}
}): Promise<{
items: GraphVerb[]
totalCount?: number
hasMore: boolean
nextCursor?: string
}> {
await this.ensureInitialized()
// Set default pagination values
const pagination = options?.pagination || {}
const limit = pagination.limit || 100
const offset = pagination.offset || 0
const cursor = pagination.cursor
// Optimize for common filter cases to avoid loading all verbs
if (options?.filter) {
// If filtering by sourceId only, use the optimized method
if (
options.filter.sourceId &&
!options.filter.verbType &&
!options.filter.targetId &&
!options.filter.service &&
!options.filter.metadata
) {
const sourceId = Array.isArray(options.filter.sourceId)
? options.filter.sourceId[0]
: options.filter.sourceId
// Get verbs by source directly
const verbsBySource = await this.getVerbsBySource_internal(sourceId)
// Apply pagination
const paginatedVerbs = verbsBySource.slice(offset, offset + limit)
const hasMore = offset + limit < verbsBySource.length
// Set next cursor if there are more items
let nextCursor: string | undefined = undefined
if (hasMore && paginatedVerbs.length > 0) {
const lastItem = paginatedVerbs[paginatedVerbs.length - 1]
nextCursor = lastItem.id
}
return {
items: paginatedVerbs,
totalCount: verbsBySource.length,
hasMore,
nextCursor
}
}
// If filtering by targetId only, use the optimized method
if (
options.filter.targetId &&
!options.filter.verbType &&
!options.filter.sourceId &&
!options.filter.service &&
!options.filter.metadata
) {
const targetId = Array.isArray(options.filter.targetId)
? options.filter.targetId[0]
: options.filter.targetId
// Get verbs by target directly
const verbsByTarget = await this.getVerbsByTarget_internal(targetId)
// Apply pagination
const paginatedVerbs = verbsByTarget.slice(offset, offset + limit)
const hasMore = offset + limit < verbsByTarget.length
// Set next cursor if there are more items
let nextCursor: string | undefined = undefined
if (hasMore && paginatedVerbs.length > 0) {
const lastItem = paginatedVerbs[paginatedVerbs.length - 1]
nextCursor = lastItem.id
}
return {
items: paginatedVerbs,
totalCount: verbsByTarget.length,
hasMore,
nextCursor
}
}
// If filtering by verbType only, use the optimized method
if (
options.filter.verbType &&
!options.filter.sourceId &&
!options.filter.targetId &&
!options.filter.service &&
!options.filter.metadata
) {
const verbType = Array.isArray(options.filter.verbType)
? options.filter.verbType[0]
: options.filter.verbType
// Get verbs by type directly
const verbsByType = await this.getVerbsByType_internal(verbType)
// Apply pagination
const paginatedVerbs = verbsByType.slice(offset, offset + limit)
const hasMore = offset + limit < verbsByType.length
// Set next cursor if there are more items
let nextCursor: string | undefined = undefined
if (hasMore && paginatedVerbs.length > 0) {
const lastItem = paginatedVerbs[paginatedVerbs.length - 1]
nextCursor = lastItem.id
}
return {
items: paginatedVerbs,
totalCount: verbsByType.length,
hasMore,
nextCursor
}
}
}
// For more complex filtering or no filtering, use a paginated approach
// that avoids loading all verbs into memory at once
try {
// First, try to get a count of total verbs (if the adapter supports it)
let totalCount: number | undefined = undefined
try {
// This is an optional method that adapters may implement
if (typeof (this as any).countVerbs === 'function') {
totalCount = await (this as any).countVerbs(options?.filter)
}
} catch (countError) {
// Ignore errors from count method, it's optional
console.warn('Error getting verb count:', countError)
}
// Check if the adapter has a paginated method for getting verbs
if (typeof (this as any).getVerbsWithPagination === 'function') {
// Use the adapter's paginated method
const result = await (this as any).getVerbsWithPagination({
limit,
cursor,
filter: options?.filter
})
// Apply offset if needed (some adapters might not support offset)
const items = result.items.slice(offset)
return {
items,
totalCount: result.totalCount || totalCount,
hasMore: result.hasMore,
nextCursor: result.nextCursor
}
}
// Storage adapter does not support pagination
console.error(
'Storage adapter does not support pagination. The deprecated getAllVerbs_internal() method has been removed. Please implement getVerbsWithPagination() in your storage adapter.'
)
return {
items: [],
totalCount: 0,
hasMore: false
}
} catch (error) {
console.error('Error getting verbs with pagination:', error)
return {
items: [],
totalCount: 0,
hasMore: false
}
}
}
/**
* Delete a verb from storage
*/
public async deleteVerb(id: string): Promise<void> {
await this.ensureInitialized()
return this.deleteVerb_internal(id)
}
/**
* Clear all data from storage
* This method should be implemented by each specific adapter
*/
public abstract clear(): Promise<void>
/**
* Get information about storage usage and capacity
* This method should be implemented by each specific adapter
*/
public abstract getStorageStatus(): Promise<{
type: string
used: number
quota: number | null
details?: Record<string, any>
}>
/**
* Save metadata to storage
* This method should be implemented by each specific adapter
*/
public abstract saveMetadata(id: string, metadata: any): Promise<void>
/**
* Get metadata from storage
* This method should be implemented by each specific adapter
*/
public abstract getMetadata(id: string): Promise<any | null>
/**
* Save noun metadata to storage
* This method should be implemented by each specific adapter
*/
public async saveNounMetadata(id: string, metadata: any): Promise<void> {
// Validate noun type in metadata - storage boundary protection
if (metadata?.noun) {
validateNounType(metadata.noun)
}
return this.saveNounMetadata_internal(id, metadata)
}
/**
* Internal method for saving noun metadata
* This method should be implemented by each specific adapter
*/
protected abstract saveNounMetadata_internal(id: string, metadata: any): Promise<void>
🧠 Brainy 2.0.0 - Zero-Configuration AI Database with Triple Intelligence™ MAJOR RELEASE: Complete evolution of Brainy with groundbreaking features and performance. 🎯 KEY FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✨ Triple Intelligence™ Engine - Unified Vector + Metadata + Graph search - O(log n) performance on all operations - 3ms average search latency at any scale ✨ API Consolidation - 15+ search methods → 2 clean APIs - search() for vector similarity - find() for natural language queries ✨ Natural Language Processing - 220+ pre-computed NLP patterns - Instant context understanding - "Show me recent React components with tests" ✨ Zero Configuration - Works instantly, no setup required - Built-in embedding models (no API keys) - Smart defaults for everything - Automatic optimization ✨ Enterprise Features (Free for Everyone) - Scales to 10M+ items - Write-Ahead Logging (WAL) for durability - Distributed architecture with sharding - Read/write separation - Connection pooling & request deduplication - Built-in monitoring & health checks ✨ Universal Compatibility - Node.js, Browser, Edge Workers - 4 Storage Adapters (Memory, FileSystem, OPFS, S3) - TypeScript with full type safety - Worker-based embeddings 📦 WHAT'S INCLUDED: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Core AI Database with HNSW indexing • 19 Production-ready augmentations • Universal Memory Manager • Complete CLI with all commands • Brain Cloud integration (soulcraft.com) • Comprehensive documentation • 52 test files with 400+ tests • Migration guide from 1.x 📊 PERFORMANCE: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Initialize: 450ms (24MB memory) • Search: 3ms average (up to 10M items) • Metadata Filter: 0.8ms (O(log n)) • Bulk Import: 2.3s per 1000 items • Production Scale: 5.8ms at 10M items 🔧 TECHNICAL IMPROVEMENTS: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • TypeScript compilation: 153 errors → 0 • Memory usage: 200MB → 24MB baseline • Circular dependencies resolved • Worker thread communication fixed • Storage adapter consistency • Request coalescing for 3x performance 🛠️ CLI FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • brainy add - Smart data ingestion • brainy find - Natural language search • brainy search - Vector similarity • brainy chat - AI conversation mode • brainy cloud - Brain Cloud integration • brainy augment - Manage extensions • 100% API compatibility 📚 DOCUMENTATION: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Professional README with examples • Quick Start guide (5 minutes) • Enterprise Features guide • Migration guide from 1.x • API reference • Architecture documentation 🌟 USE CASES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • AI memory layer for chatbots • Semantic document search • Code intelligence platforms • Knowledge management systems • Real-time recommendation engines • Customer support automation MIT License - Enterprise features included free for everyone. No premium tiers, no paywalls, no limits. Built with ❤️ by the Brainy community. Visit https://soulcraft.com for Brain Cloud integration.
2025-08-26 12:32:21 -07:00
/**
* Get noun metadata from storage
* This method should be implemented by each specific adapter
*/
public abstract getNounMetadata(id: string): Promise<any | null>
/**
* Save verb metadata to storage
* This method should be implemented by each specific adapter
*/
public async saveVerbMetadata(id: string, metadata: any): Promise<void> {
// Validate verb type in metadata - storage boundary protection
if (metadata?.verb) {
validateVerbType(metadata.verb)
}
return this.saveVerbMetadata_internal(id, metadata)
}
/**
* Internal method for saving verb metadata
* This method should be implemented by each specific adapter
*/
protected abstract saveVerbMetadata_internal(id: string, metadata: any): Promise<void>
🧠 Brainy 2.0.0 - Zero-Configuration AI Database with Triple Intelligence™ MAJOR RELEASE: Complete evolution of Brainy with groundbreaking features and performance. 🎯 KEY FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✨ Triple Intelligence™ Engine - Unified Vector + Metadata + Graph search - O(log n) performance on all operations - 3ms average search latency at any scale ✨ API Consolidation - 15+ search methods → 2 clean APIs - search() for vector similarity - find() for natural language queries ✨ Natural Language Processing - 220+ pre-computed NLP patterns - Instant context understanding - "Show me recent React components with tests" ✨ Zero Configuration - Works instantly, no setup required - Built-in embedding models (no API keys) - Smart defaults for everything - Automatic optimization ✨ Enterprise Features (Free for Everyone) - Scales to 10M+ items - Write-Ahead Logging (WAL) for durability - Distributed architecture with sharding - Read/write separation - Connection pooling & request deduplication - Built-in monitoring & health checks ✨ Universal Compatibility - Node.js, Browser, Edge Workers - 4 Storage Adapters (Memory, FileSystem, OPFS, S3) - TypeScript with full type safety - Worker-based embeddings 📦 WHAT'S INCLUDED: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Core AI Database with HNSW indexing • 19 Production-ready augmentations • Universal Memory Manager • Complete CLI with all commands • Brain Cloud integration (soulcraft.com) • Comprehensive documentation • 52 test files with 400+ tests • Migration guide from 1.x 📊 PERFORMANCE: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Initialize: 450ms (24MB memory) • Search: 3ms average (up to 10M items) • Metadata Filter: 0.8ms (O(log n)) • Bulk Import: 2.3s per 1000 items • Production Scale: 5.8ms at 10M items 🔧 TECHNICAL IMPROVEMENTS: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • TypeScript compilation: 153 errors → 0 • Memory usage: 200MB → 24MB baseline • Circular dependencies resolved • Worker thread communication fixed • Storage adapter consistency • Request coalescing for 3x performance 🛠️ CLI FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • brainy add - Smart data ingestion • brainy find - Natural language search • brainy search - Vector similarity • brainy chat - AI conversation mode • brainy cloud - Brain Cloud integration • brainy augment - Manage extensions • 100% API compatibility 📚 DOCUMENTATION: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Professional README with examples • Quick Start guide (5 minutes) • Enterprise Features guide • Migration guide from 1.x • API reference • Architecture documentation 🌟 USE CASES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • AI memory layer for chatbots • Semantic document search • Code intelligence platforms • Knowledge management systems • Real-time recommendation engines • Customer support automation MIT License - Enterprise features included free for everyone. No premium tiers, no paywalls, no limits. Built with ❤️ by the Brainy community. Visit https://soulcraft.com for Brain Cloud integration.
2025-08-26 12:32:21 -07:00
/**
* Get verb metadata from storage
* This method should be implemented by each specific adapter
*/
public abstract getVerbMetadata(id: string): Promise<any | null>
/**
* Save a noun to storage
* This method should be implemented by each specific adapter
*/
protected abstract saveNoun_internal(noun: HNSWNoun): Promise<void>
/**
* Get a noun from storage
* This method should be implemented by each specific adapter
*/
protected abstract getNoun_internal(id: string): Promise<HNSWNoun | null>
/**
* Get nouns by noun type
* This method should be implemented by each specific adapter
*/
protected abstract getNounsByNounType_internal(
nounType: string
): Promise<HNSWNoun[]>
/**
* Delete a noun from storage
* This method should be implemented by each specific adapter
*/
protected abstract deleteNoun_internal(id: string): Promise<void>
/**
* Save a verb to storage
* This method should be implemented by each specific adapter
*/
protected abstract saveVerb_internal(verb: HNSWVerb): Promise<void>
/**
* Get a verb from storage
* This method should be implemented by each specific adapter
*/
protected abstract getVerb_internal(id: string): Promise<HNSWVerb | null>
/**
* Get verbs by source
* This method should be implemented by each specific adapter
*/
protected abstract getVerbsBySource_internal(
sourceId: string
): Promise<GraphVerb[]>
/**
* Get verbs by target
* This method should be implemented by each specific adapter
*/
protected abstract getVerbsByTarget_internal(
targetId: string
): Promise<GraphVerb[]>
/**
* Get verbs by type
* This method should be implemented by each specific adapter
*/
protected abstract getVerbsByType_internal(type: string): Promise<GraphVerb[]>
/**
* Delete a verb from storage
* This method should be implemented by each specific adapter
*/
protected abstract deleteVerb_internal(id: string): Promise<void>
/**
* Helper method to convert a Map to a plain object for serialization
*/
protected mapToObject<K extends string | number, V>(
map: Map<K, V>,
valueTransformer: (value: V) => any = (v) => v
): Record<string, any> {
const obj: Record<string, any> = {}
for (const [key, value] of map.entries()) {
obj[key.toString()] = valueTransformer(value)
}
return obj
}
/**
* Save statistics data to storage (public interface)
* @param statistics The statistics data to save
*/
public async saveStatistics(statistics: StatisticsData): Promise<void> {
return this.saveStatisticsData(statistics)
}
/**
* Get statistics data from storage (public interface)
* @returns Promise that resolves to the statistics data or null if not found
*/
public async getStatistics(): Promise<StatisticsData | null> {
return this.getStatisticsData()
}
/**
* Save statistics data to storage
* This method should be implemented by each specific adapter
* @param statistics The statistics data to save
*/
protected abstract saveStatisticsData(
statistics: StatisticsData
): Promise<void>
/**
* Get statistics data from storage
* This method should be implemented by each specific adapter
* @returns Promise that resolves to the statistics data or null if not found
*/
protected abstract getStatisticsData(): Promise<StatisticsData | null>
}