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🧠 Brainy 2.0.0 - Zero-Configuration AI Database with Triple Intelligence™

Browse source 
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.
This commit is contained in:
David Snelling 2025-08-26 12:32:21 -07:00
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/**
* Distributed Configuration Manager
* Manages shared configuration in S3 for distributed Brainy instances
*/
import { v4 as uuidv4 } from '../universal/uuid.js'
import {
DistributedConfig,
SharedConfig,
InstanceInfo,
InstanceRole
} from '../types/distributedTypes.js'
import { StorageAdapter } from '../coreTypes.js'
// Constants for config storage locations
const DISTRIBUTED_CONFIG_KEY = 'distributed_config'
const LEGACY_CONFIG_KEY = '_distributed_config'
export class DistributedConfigManager {
private config: SharedConfig | null = null
private instanceId: string
private role: InstanceRole | undefined
private configPath: string
private heartbeatInterval: number
private configCheckInterval: number
private instanceTimeout: number
private storage: StorageAdapter
private heartbeatTimer?: NodeJS.Timeout
private configWatchTimer?: NodeJS.Timeout
private lastConfigVersion: number = 0
private onConfigUpdate?: (config: SharedConfig) => void
private hasMigrated: boolean = false
constructor(
storage: StorageAdapter,
distributedConfig?: DistributedConfig,
brainyMode?: { readOnly?: boolean; writeOnly?: boolean }
) {
this.storage = storage
this.instanceId = distributedConfig?.instanceId || `instance-${uuidv4()}`
// Updated default path to use _system instead of _brainy
this.configPath = distributedConfig?.configPath || '_system/distributed_config.json'
this.heartbeatInterval = distributedConfig?.heartbeatInterval || 30000
this.configCheckInterval = distributedConfig?.configCheckInterval || 10000
this.instanceTimeout = distributedConfig?.instanceTimeout || 60000
// Set role from distributed config if provided
if (distributedConfig?.role) {
this.role = distributedConfig.role
}
// Infer role from Brainy's read/write mode if not explicitly set
else if (brainyMode) {
if (brainyMode.writeOnly) {
this.role = 'writer'
} else if (brainyMode.readOnly) {
this.role = 'reader'
}
// If neither readOnly nor writeOnly, role must be explicitly set
}
}
/**
* Initialize the distributed configuration
*/
async initialize(): Promise<SharedConfig> {
// Load or create configuration
this.config = await this.loadOrCreateConfig()
// Determine role if not explicitly set
if (!this.role) {
this.role = await this.determineRole()
}
// Register this instance
await this.registerInstance()
// Start heartbeat and config watching
this.startHeartbeat()
this.startConfigWatch()
return this.config
}
/**
* Load existing config or create new one
*/
private async loadOrCreateConfig(): Promise<SharedConfig> {
// First, try to load from the new location in index folder
try {
const configData = await this.storage.getStatistics()
if (configData && configData.distributedConfig) {
this.lastConfigVersion = configData.distributedConfig.version
return configData.distributedConfig as SharedConfig
}
} catch (error) {
// Config doesn't exist in new location yet
}
// Check if we need to migrate from old location
if (!this.hasMigrated) {
const migrated = await this.migrateConfigFromLegacyLocation()
if (migrated) {
return migrated
}
}
// Legacy fallback - try old location
try {
const configData = await this.storage.getMetadata(LEGACY_CONFIG_KEY)
if (configData) {
// Migrate to new location
await this.migrateConfig(configData as SharedConfig)
this.lastConfigVersion = configData.version
return configData as SharedConfig
}
} catch (error) {
// Config doesn't exist yet
}
// Create default config
const newConfig: SharedConfig = {
version: 1,
updated: new Date().toISOString(),
settings: {
partitionStrategy: 'hash',
partitionCount: 100,
embeddingModel: 'text-embedding-ada-002',
dimensions: 1536,
distanceMetric: 'cosine',
hnswParams: {
M: 16,
efConstruction: 200
}
},
instances: {}
}
await this.saveConfig(newConfig)
return newConfig
}
/**
* Determine role based on configuration
* IMPORTANT: Role must be explicitly set - no automatic assignment based on order
*/
private async determineRole(): Promise<InstanceRole> {
// Check environment variable first
if (process.env.BRAINY_ROLE) {
const role = process.env.BRAINY_ROLE.toLowerCase()
if (role === 'writer' || role === 'reader' || role === 'hybrid') {
return role as InstanceRole
}
throw new Error(`Invalid BRAINY_ROLE: ${process.env.BRAINY_ROLE}. Must be 'writer', 'reader', or 'hybrid'`)
}
// Check if explicitly passed in distributed config
if (this.role) {
return this.role
}
// DO NOT auto-assign roles based on deployment order or existing instances
// This is dangerous and can lead to data corruption or loss
throw new Error(
'Distributed mode requires explicit role configuration. ' +
'Set BRAINY_ROLE environment variable or pass role in distributed config. ' +
'Valid roles: "writer", "reader", "hybrid"'
)
}
/**
* Check if an instance is still alive
*/
private isInstanceAlive(instance: InstanceInfo): boolean {
const lastSeen = new Date(instance.lastHeartbeat).getTime()
const now = Date.now()
return (now - lastSeen) < this.instanceTimeout
}
/**
* Register this instance in the shared config
*/
private async registerInstance(): Promise<void> {
if (!this.config) return
// Role must be set by this point
if (!this.role) {
throw new Error('Cannot register instance without a role')
}
const instanceInfo: InstanceInfo = {
role: this.role,
status: 'active',
lastHeartbeat: new Date().toISOString(),
metrics: {
memoryUsage: process.memoryUsage().heapUsed
}
}
// Add endpoint if available
if (process.env.SERVICE_ENDPOINT) {
instanceInfo.endpoint = process.env.SERVICE_ENDPOINT
}
this.config.instances[this.instanceId] = instanceInfo
await this.saveConfig(this.config)
}
/**
* Migrate config from legacy location to new location
*/
private async migrateConfigFromLegacyLocation(): Promise<SharedConfig | null> {
try {
// Try to load from old location
const legacyConfig = await this.storage.getMetadata(LEGACY_CONFIG_KEY)
if (legacyConfig) {
console.log('Migrating distributed config from legacy location to index folder...')
// Save to new location
await this.migrateConfig(legacyConfig as SharedConfig)
// Delete from old location (optional - we can keep it for rollback)
// await this.storage.deleteMetadata(LEGACY_CONFIG_KEY)
this.hasMigrated = true
this.lastConfigVersion = legacyConfig.version
return legacyConfig as SharedConfig
}
} catch (error) {
console.error('Error during config migration:', error)
}
this.hasMigrated = true
return null
}
/**
* Migrate config to new location in index folder
*/
private async migrateConfig(config: SharedConfig): Promise<void> {
// Get existing statistics or create new
let stats = await this.storage.getStatistics()
if (!stats) {
stats = {
nounCount: {},
verbCount: {},
metadataCount: {},
hnswIndexSize: 0,
lastUpdated: new Date().toISOString()
}
}
// Add distributed config to statistics
stats.distributedConfig = config
// Save updated statistics
await this.storage.saveStatistics(stats)
}
/**
* Save configuration with version increment
*/
private async saveConfig(config: SharedConfig): Promise<void> {
config.version++
config.updated = new Date().toISOString()
this.lastConfigVersion = config.version
// Save to new location in index folder along with statistics
let stats = await this.storage.getStatistics()
if (!stats) {
stats = {
nounCount: {},
verbCount: {},
metadataCount: {},
hnswIndexSize: 0,
lastUpdated: new Date().toISOString()
}
}
// Update distributed config in statistics
stats.distributedConfig = config
// Save updated statistics
await this.storage.saveStatistics(stats)
this.config = config
}
/**
* Start heartbeat to keep instance alive in config
*/
private startHeartbeat(): void {
this.heartbeatTimer = setInterval(async () => {
await this.updateHeartbeat()
}, this.heartbeatInterval)
}
/**
* Update heartbeat and clean stale instances
*/
private async updateHeartbeat(): Promise<void> {
if (!this.config) return
// Reload config to get latest state
try {
const latestConfig = await this.loadConfig()
if (latestConfig) {
this.config = latestConfig
}
} catch (error) {
console.error('Failed to reload config:', error)
}
// Update our heartbeat
if (this.config.instances[this.instanceId]) {
this.config.instances[this.instanceId].lastHeartbeat = new Date().toISOString()
this.config.instances[this.instanceId].status = 'active'
// Update metrics if available
this.config.instances[this.instanceId].metrics = {
memoryUsage: process.memoryUsage().heapUsed
}
} else {
// Re-register if we were removed
await this.registerInstance()
return
}
// Clean up stale instances
const now = Date.now()
let hasChanges = false
for (const [id, instance] of Object.entries(this.config.instances)) {
if (id === this.instanceId) continue
const lastSeen = new Date(instance.lastHeartbeat).getTime()
if (now - lastSeen > this.instanceTimeout) {
delete this.config.instances[id]
hasChanges = true
}
}
// Save if there were changes
if (hasChanges) {
await this.saveConfig(this.config)
} else {
// Just update our heartbeat without version increment
// Get existing statistics
let stats = await this.storage.getStatistics()
if (!stats) {
stats = {
nounCount: {},
verbCount: {},
metadataCount: {},
hnswIndexSize: 0,
lastUpdated: new Date().toISOString()
}
}
// Update distributed config in statistics without version increment
stats.distributedConfig = this.config
// Save updated statistics
await this.storage.saveStatistics(stats)
}
}
/**
* Start watching for config changes
*/
private startConfigWatch(): void {
this.configWatchTimer = setInterval(async () => {
await this.checkForConfigUpdates()
}, this.configCheckInterval)
}
/**
* Check for configuration updates
*/
private async checkForConfigUpdates(): Promise<void> {
try {
const latestConfig = await this.loadConfig()
if (!latestConfig) return
if (latestConfig.version > this.lastConfigVersion) {
this.config = latestConfig
this.lastConfigVersion = latestConfig.version
// Notify listeners of config update
if (this.onConfigUpdate) {
this.onConfigUpdate(latestConfig)
}
}
} catch (error) {
console.error('Failed to check config updates:', error)
}
}
/**
* Load configuration from storage
*/
private async loadConfig(): Promise<SharedConfig | null> {
try {
// Try new location first
const stats = await this.storage.getStatistics()
if (stats && stats.distributedConfig) {
return stats.distributedConfig as SharedConfig
}
// Fallback to legacy location if not migrated yet
if (!this.hasMigrated) {
const configData = await this.storage.getMetadata(LEGACY_CONFIG_KEY)
if (configData) {
// Trigger migration on next save
return configData as SharedConfig
}
}
} catch (error) {
console.error('Failed to load config:', error)
}
return null
}
/**
* Get current configuration
*/
getConfig(): SharedConfig | null {
return this.config
}
/**
* Get instance role
*/
getRole(): InstanceRole {
if (!this.role) {
throw new Error('Role not initialized')
}
return this.role
}
/**
* Get instance ID
*/
getInstanceId(): string {
return this.instanceId
}
/**
* Set config update callback
*/
setOnConfigUpdate(callback: (config: SharedConfig) => void): void {
this.onConfigUpdate = callback
}
/**
* Get all active instances of a specific role
*/
getInstancesByRole(role: InstanceRole): InstanceInfo[] {
if (!this.config) return []
return Object.entries(this.config.instances)
.filter(([_, instance]) =>
instance.role === role &&
this.isInstanceAlive(instance)
)
.map(([_, instance]) => instance)
}
/**
* Update instance metrics
*/
async updateMetrics(metrics: Partial<InstanceInfo['metrics']>): Promise<void> {
if (!this.config || !this.config.instances[this.instanceId]) return
this.config.instances[this.instanceId].metrics = {
...this.config.instances[this.instanceId].metrics,
...metrics
}
// Don't increment version for metric updates
// Get existing statistics
let stats = await this.storage.getStatistics()
if (!stats) {
stats = {
nounCount: {},
verbCount: {},
metadataCount: {},
hnswIndexSize: 0,
lastUpdated: new Date().toISOString()
}
}
// Update distributed config in statistics without version increment
stats.distributedConfig = this.config
// Save updated statistics
await this.storage.saveStatistics(stats)
}
/**
* Cleanup resources
*/
async cleanup(): Promise<void> {
// Stop timers
if (this.heartbeatTimer) {
clearInterval(this.heartbeatTimer)
}
if (this.configWatchTimer) {
clearInterval(this.configWatchTimer)
}
// Mark instance as inactive
if (this.config && this.config.instances[this.instanceId]) {
this.config.instances[this.instanceId].status = 'inactive'
await this.saveConfig(this.config)
}
}
}

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/**
* Domain Detector
* Automatically detects and manages data domains for logical separation
*/
import { DomainMetadata } from '../types/distributedTypes.js'
export interface DomainPattern {
domain: string
patterns: {
fields?: string[]
keywords?: string[]
regex?: RegExp
}
priority?: number
}
export class DomainDetector {
private domainPatterns: DomainPattern[] = [
{
domain: 'medical',
patterns: {
fields: ['symptoms', 'diagnosis', 'treatment', 'medication', 'patient'],
keywords: ['medical', 'health', 'disease', 'symptom', 'treatment', 'doctor', 'patient']
},
priority: 1
},
{
domain: 'legal',
patterns: {
fields: ['contract', 'clause', 'litigation', 'statute', 'jurisdiction'],
keywords: ['legal', 'law', 'contract', 'court', 'attorney', 'litigation', 'statute']
},
priority: 1
},
{
domain: 'product',
patterns: {
fields: ['price', 'sku', 'inventory', 'category', 'brand'],
keywords: ['product', 'price', 'sale', 'inventory', 'catalog', 'item', 'sku']
},
priority: 1
},
{
domain: 'customer',
patterns: {
fields: ['customerId', 'email', 'phone', 'address', 'orders'],
keywords: ['customer', 'client', 'user', 'account', 'profile', 'contact']
},
priority: 1
},
{
domain: 'financial',
patterns: {
fields: ['amount', 'currency', 'transaction', 'balance', 'account'],
keywords: ['financial', 'money', 'payment', 'transaction', 'bank', 'credit', 'debit']
},
priority: 1
},
{
domain: 'technical',
patterns: {
fields: ['code', 'function', 'error', 'stack', 'api'],
keywords: ['code', 'software', 'api', 'error', 'debug', 'function', 'class', 'method']
},
priority: 2
}
]
private customPatterns: DomainPattern[] = []
private domainStats: Map<string, number> = new Map()
/**
* Detect domain from data object
* @param data - The data object to analyze
* @returns The detected domain and metadata
*/
detectDomain(data: any): DomainMetadata {
if (!data || typeof data !== 'object') {
return { domain: 'general' }
}
// Check for explicit domain field
if (data.domain && typeof data.domain === 'string') {
this.updateStats(data.domain)
return {
domain: data.domain,
domainMetadata: this.extractDomainMetadata(data, data.domain)
}
}
// Score each domain pattern
const scores = new Map<string, number>()
// Check custom patterns first (higher priority)
for (const pattern of this.customPatterns) {
const score = this.scorePattern(data, pattern)
if (score > 0) {
scores.set(pattern.domain, score * (pattern.priority || 1))
}
}
// Check default patterns
for (const pattern of this.domainPatterns) {
const score = this.scorePattern(data, pattern)
if (score > 0) {
const currentScore = scores.get(pattern.domain) || 0
scores.set(pattern.domain, currentScore + score * (pattern.priority || 1))
}
}
// Find highest scoring domain
let bestDomain = 'general'
let bestScore = 0
for (const [domain, score] of scores.entries()) {
if (score > bestScore) {
bestDomain = domain
bestScore = score
}
}
this.updateStats(bestDomain)
return {
domain: bestDomain,
domainMetadata: this.extractDomainMetadata(data, bestDomain)
}
}
/**
* Score a data object against a domain pattern
*/
private scorePattern(data: any, pattern: DomainPattern): number {
let score = 0
// Check field matches
if (pattern.patterns.fields) {
const dataKeys = Object.keys(data)
for (const field of pattern.patterns.fields) {
if (dataKeys.some(key => key.toLowerCase().includes(field.toLowerCase()))) {
score += 2 // Field match is strong signal
}
}
}
// Check keyword matches in values
if (pattern.patterns.keywords) {
const dataStr = JSON.stringify(data).toLowerCase()
for (const keyword of pattern.patterns.keywords) {
if (dataStr.includes(keyword.toLowerCase())) {
score += 1
}
}
}
// Check regex patterns
if (pattern.patterns.regex) {
const dataStr = JSON.stringify(data)
if (pattern.patterns.regex.test(dataStr)) {
score += 3 // Regex match is very specific
}
}
return score
}
/**
* Extract domain-specific metadata
*/
private extractDomainMetadata(data: any, domain: string): Record<string, any> {
const metadata: Record<string, any> = {}
switch (domain) {
case 'medical':
if (data.patientId) metadata.patientId = data.patientId
if (data.condition) metadata.condition = data.condition
if (data.severity) metadata.severity = data.severity
break
case 'legal':
if (data.caseId) metadata.caseId = data.caseId
if (data.jurisdiction) metadata.jurisdiction = data.jurisdiction
if (data.documentType) metadata.documentType = data.documentType
break
case 'product':
if (data.sku) metadata.sku = data.sku
if (data.category) metadata.category = data.category
if (data.brand) metadata.brand = data.brand
if (data.price) metadata.priceRange = this.getPriceRange(data.price)
break
case 'customer':
if (data.customerId) metadata.customerId = data.customerId
if (data.segment) metadata.segment = data.segment
if (data.lifetime_value) metadata.valueCategory = this.getValueCategory(data.lifetime_value)
break
case 'financial':
if (data.accountId) metadata.accountId = data.accountId
if (data.transactionType) metadata.transactionType = data.transactionType
if (data.amount) metadata.amountRange = this.getAmountRange(data.amount)
break
case 'technical':
if (data.service) metadata.service = data.service
if (data.environment) metadata.environment = data.environment
if (data.severity) metadata.severity = data.severity
break
}
// Add detection confidence
metadata.detectionConfidence = this.calculateConfidence(data, domain)
return metadata
}
/**
* Calculate detection confidence
*/
private calculateConfidence(data: any, domain: string): 'high' | 'medium' | 'low' {
// If domain was explicitly specified
if (data.domain === domain) return 'high'
// Check how many patterns matched
const pattern = [...this.customPatterns, ...this.domainPatterns]
.find(p => p.domain === domain)
if (!pattern) return 'low'
const score = this.scorePattern(data, pattern)
if (score >= 5) return 'high'
if (score >= 2) return 'medium'
return 'low'
}
/**
* Categorize price ranges
*/
private getPriceRange(price: number): string {
if (price < 10) return 'low'
if (price < 100) return 'medium'
if (price < 1000) return 'high'
return 'premium'
}
/**
* Categorize customer value
*/
private getValueCategory(value: number): string {
if (value < 100) return 'low'
if (value < 1000) return 'medium'
if (value < 10000) return 'high'
return 'vip'
}
/**
* Categorize amount ranges
*/
private getAmountRange(amount: number): string {
if (amount < 100) return 'micro'
if (amount < 1000) return 'small'
if (amount < 10000) return 'medium'
if (amount < 100000) return 'large'
return 'enterprise'
}
/**
* Add custom domain pattern
* @param pattern - Custom domain pattern to add
*/
addCustomPattern(pattern: DomainPattern): void {
// Remove existing pattern for same domain if exists
this.customPatterns = this.customPatterns.filter(p => p.domain !== pattern.domain)
this.customPatterns.push(pattern)
}
/**
* Remove custom domain pattern
* @param domain - Domain to remove pattern for
*/
removeCustomPattern(domain: string): void {
this.customPatterns = this.customPatterns.filter(p => p.domain !== domain)
}
/**
* Update domain statistics
*/
private updateStats(domain: string): void {
const count = this.domainStats.get(domain) || 0
this.domainStats.set(domain, count + 1)
}
/**
* Get domain statistics
* @returns Map of domain to count
*/
getDomainStats(): Map<string, number> {
return new Map(this.domainStats)
}
/**
* Clear domain statistics
*/
clearStats(): void {
this.domainStats.clear()
}
/**
* Get all configured domains
* @returns Array of domain names
*/
getConfiguredDomains(): string[] {
const domains = new Set<string>()
for (const pattern of [...this.domainPatterns, ...this.customPatterns]) {
domains.add(pattern.domain)
}
return Array.from(domains).sort()
}
}

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/**
* Hash-based Partitioner
* Provides deterministic partitioning for distributed writes
*/
import { getPartitionHash } from '../utils/crypto.js'
import { SharedConfig } from '../types/distributedTypes.js'
export class HashPartitioner {
private partitionCount: number
private partitionPrefix: string = 'vectors/p'
constructor(config: SharedConfig) {
this.partitionCount = config.settings.partitionCount || 100
}
/**
* Get partition for a given vector ID using deterministic hashing
* @param vectorId - The unique identifier of the vector
* @returns The partition path
*/
getPartition(vectorId: string): string {
const hash = this.hashString(vectorId)
const partitionIndex = hash % this.partitionCount
return `${this.partitionPrefix}${partitionIndex.toString().padStart(3, '0')}`
}
/**
* Get partition with domain metadata (domain stored as metadata, not in path)
* @param vectorId - The unique identifier of the vector
* @param domain - The domain identifier (for metadata only)
* @returns The partition path
*/
getPartitionWithDomain(vectorId: string, domain?: string): string {
// Domain doesn't affect partitioning - it's just metadata
return this.getPartition(vectorId)
}
/**
* Get all partition paths
* @returns Array of all partition paths
*/
getAllPartitions(): string[] {
const partitions: string[] = []
for (let i = 0; i < this.partitionCount; i++) {
partitions.push(`${this.partitionPrefix}${i.toString().padStart(3, '0')}`)
}
return partitions
}
/**
* Get partition index from partition path
* @param partitionPath - The partition path
* @returns The partition index
*/
getPartitionIndex(partitionPath: string): number {
const match = partitionPath.match(/p(\d+)$/)
if (match) {
return parseInt(match[1], 10)
}
throw new Error(`Invalid partition path: ${partitionPath}`)
}
/**
* Hash a string to a number for consistent partitioning
* @param str - The string to hash
* @returns A positive integer hash
*/
private hashString(str: string): number {
// Use our cross-platform hash function
return getPartitionHash(str)
}
/**
* Get partitions for batch operations
* Groups vector IDs by their target partition
* @param vectorIds - Array of vector IDs
* @returns Map of partition to vector IDs
*/
getPartitionsForBatch(vectorIds: string[]): Map<string, string[]> {
const partitionMap = new Map<string, string[]>()
for (const id of vectorIds) {
const partition = this.getPartition(id)
if (!partitionMap.has(partition)) {
partitionMap.set(partition, [])
}
partitionMap.get(partition)!.push(id)
}
return partitionMap
}
}
/**
* Affinity-based Partitioner
* Extends HashPartitioner to prefer certain partitions for a writer
* while maintaining correctness
*/
export class AffinityPartitioner extends HashPartitioner {
private preferredPartitions: Set<number>
private instanceId: string
constructor(config: SharedConfig, instanceId: string) {
super(config)
this.instanceId = instanceId
this.preferredPartitions = this.calculatePreferredPartitions(config)
}
/**
* Calculate preferred partitions for this instance
*/
private calculatePreferredPartitions(config: SharedConfig): Set<number> {
const partitionCount = config.settings.partitionCount || 100
const writers = Object.entries(config.instances)
.filter(([_, inst]) => inst.role === 'writer')
.map(([id, _]) => id)
.sort() // Ensure consistent ordering
const writerIndex = writers.indexOf(this.instanceId)
if (writerIndex === -1) {
// Not a writer or not found, no preferences
return new Set()
}
const writerCount = writers.length
const partitionsPerWriter = Math.ceil(partitionCount / writerCount)
const preferred = new Set<number>()
const start = writerIndex * partitionsPerWriter
const end = Math.min(start + partitionsPerWriter, partitionCount)
for (let i = start; i < end; i++) {
preferred.add(i)
}
return preferred
}
/**
* Check if a partition is preferred for this instance
* @param partitionPath - The partition path
* @returns Whether this partition is preferred
*/
isPreferredPartition(partitionPath: string): boolean {
try {
const index = this.getPartitionIndex(partitionPath)
return this.preferredPartitions.has(index)
} catch {
return false
}
}
/**
* Get all preferred partitions for this instance
* @returns Array of preferred partition paths
*/
getPreferredPartitions(): string[] {
return Array.from(this.preferredPartitions)
.map(index => `vectors/p${index.toString().padStart(3, '0')}`)
}
/**
* Update preferred partitions based on new config
* @param config - The updated shared configuration
*/
updatePreferences(config: SharedConfig): void {
this.preferredPartitions = this.calculatePreferredPartitions(config)
}
}

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/**
* Health Monitor
* Monitors and reports instance health in distributed deployments
*/
import { DistributedConfigManager } from './configManager.js'
import { InstanceInfo } from '../types/distributedTypes.js'
export interface HealthMetrics {
vectorCount: number
cacheHitRate: number
memoryUsage: number
cpuUsage?: number
requestsPerSecond?: number
averageLatency?: number
errorRate?: number
}
export interface HealthStatus {
status: 'healthy' | 'degraded' | 'unhealthy'
instanceId: string
role: string
uptime: number
lastCheck: string
metrics: HealthMetrics
warnings?: string[]
errors?: string[]
}
export class HealthMonitor {
private configManager: DistributedConfigManager
private startTime: number
private requestCount: number = 0
private errorCount: number = 0
private totalLatency: number = 0
private cacheHits: number = 0
private cacheMisses: number = 0
private vectorCount: number = 0
private checkInterval: number = 30000 // 30 seconds
private healthCheckTimer?: NodeJS.Timeout
private metricsWindow: number[] = [] // Sliding window for RPS calculation
private latencyWindow: number[] = [] // Sliding window for latency
private windowSize: number = 60000 // 1 minute window
constructor(configManager: DistributedConfigManager) {
this.configManager = configManager
this.startTime = Date.now()
}
/**
* Start health monitoring
*/
start(): void {
// Initial health update
this.updateHealth()
// Schedule periodic health checks
this.healthCheckTimer = setInterval(() => {
this.updateHealth()
}, this.checkInterval)
}
/**
* Stop health monitoring
*/
stop(): void {
if (this.healthCheckTimer) {
clearInterval(this.healthCheckTimer)
this.healthCheckTimer = undefined
}
}
/**
* Update health status and metrics
*/
private async updateHealth(): Promise<void> {
const metrics = this.collectMetrics()
// Update config with latest metrics
await this.configManager.updateMetrics({
vectorCount: metrics.vectorCount,
cacheHitRate: metrics.cacheHitRate,
memoryUsage: metrics.memoryUsage,
cpuUsage: metrics.cpuUsage
})
// Clean sliding windows
this.cleanWindows()
}
/**
* Collect current metrics
*/
private collectMetrics(): HealthMetrics {
const memUsage = process.memoryUsage()
return {
vectorCount: this.vectorCount,
cacheHitRate: this.calculateCacheHitRate(),
memoryUsage: memUsage.heapUsed,
cpuUsage: this.getCPUUsage(),
requestsPerSecond: this.calculateRPS(),
averageLatency: this.calculateAverageLatency(),
errorRate: this.calculateErrorRate()
}
}
/**
* Calculate cache hit rate
*/
private calculateCacheHitRate(): number {
const total = this.cacheHits + this.cacheMisses
if (total === 0) return 0
return this.cacheHits / total
}
/**
* Calculate requests per second
*/
private calculateRPS(): number {
const now = Date.now()
const recentRequests = this.metricsWindow.filter(
timestamp => now - timestamp < this.windowSize
)
return recentRequests.length / (this.windowSize / 1000)
}
/**
* Calculate average latency
*/
private calculateAverageLatency(): number {
if (this.latencyWindow.length === 0) return 0
const sum = this.latencyWindow.reduce((a, b) => a + b, 0)
return sum / this.latencyWindow.length
}
/**
* Calculate error rate
*/
private calculateErrorRate(): number {
if (this.requestCount === 0) return 0
return this.errorCount / this.requestCount
}
/**
* Get CPU usage (simplified)
*/
private getCPUUsage(): number {
// Simplified CPU usage based on process time
const usage = process.cpuUsage()
const total = usage.user + usage.system
const seconds = (Date.now() - this.startTime) / 1000
return Math.min(100, (total / 1000000 / seconds) * 100)
}
/**
* Clean old entries from sliding windows
*/
private cleanWindows(): void {
const now = Date.now()
const cutoff = now - this.windowSize
this.metricsWindow = this.metricsWindow.filter(t => t > cutoff)
// Keep only recent latency measurements
if (this.latencyWindow.length > 100) {
this.latencyWindow = this.latencyWindow.slice(-100)
}
}
/**
* Record a request
* @param latency - Request latency in milliseconds
* @param error - Whether the request resulted in an error
*/
recordRequest(latency: number, error: boolean = false): void {
this.requestCount++
this.metricsWindow.push(Date.now())
this.latencyWindow.push(latency)
if (error) {
this.errorCount++
}
}
/**
* Record cache access
* @param hit - Whether it was a cache hit
*/
recordCacheAccess(hit: boolean): void {
if (hit) {
this.cacheHits++
} else {
this.cacheMisses++
}
}
/**
* Update vector count
* @param count - New vector count
*/
updateVectorCount(count: number): void {
this.vectorCount = count
}
/**
* Get current health status
* @returns Health status object
*/
getHealthStatus(): HealthStatus {
const metrics = this.collectMetrics()
const uptime = Date.now() - this.startTime
const warnings: string[] = []
const errors: string[] = []
// Check for warnings
if (metrics.memoryUsage > 1024 * 1024 * 1024) { // > 1GB
warnings.push('High memory usage detected')
}
if (metrics.cacheHitRate < 0.5) {
warnings.push('Low cache hit rate')
}
if (metrics.errorRate && metrics.errorRate > 0.05) {
warnings.push('High error rate detected')
}
if (metrics.averageLatency && metrics.averageLatency > 1000) {
warnings.push('High latency detected')
}
// Check for errors
if (metrics.memoryUsage > 2 * 1024 * 1024 * 1024) { // > 2GB
errors.push('Critical memory usage')
}
if (metrics.errorRate && metrics.errorRate > 0.2) {
errors.push('Critical error rate')
}
// Determine overall status
let status: 'healthy' | 'degraded' | 'unhealthy' = 'healthy'
if (errors.length > 0) {
status = 'unhealthy'
} else if (warnings.length > 0) {
status = 'degraded'
}
return {
status,
instanceId: this.configManager.getInstanceId(),
role: this.configManager.getRole(),
uptime,
lastCheck: new Date().toISOString(),
metrics,
warnings: warnings.length > 0 ? warnings : undefined,
errors: errors.length > 0 ? errors : undefined
}
}
/**
* Get health check endpoint data
* @returns JSON-serializable health data
*/
getHealthEndpointData(): Record<string, any> {
const status = this.getHealthStatus()
return {
status: status.status,
instanceId: status.instanceId,
role: status.role,
uptime: Math.floor(status.uptime / 1000), // Convert to seconds
lastCheck: status.lastCheck,
metrics: {
vectorCount: status.metrics.vectorCount,
cacheHitRate: Math.round(status.metrics.cacheHitRate * 100) / 100,
memoryUsageMB: Math.round(status.metrics.memoryUsage / 1024 / 1024),
cpuUsagePercent: Math.round(status.metrics.cpuUsage || 0),
requestsPerSecond: Math.round(status.metrics.requestsPerSecond || 0),
averageLatencyMs: Math.round(status.metrics.averageLatency || 0),
errorRate: Math.round((status.metrics.errorRate || 0) * 100) / 100
},
warnings: status.warnings,
errors: status.errors
}
}
/**
* Reset metrics (useful for testing)
*/
resetMetrics(): void {
this.requestCount = 0
this.errorCount = 0
this.totalLatency = 0
this.cacheHits = 0
this.cacheMisses = 0
this.metricsWindow = []
this.latencyWindow = []
}
}

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/**
* Distributed module exports
*/
export { DistributedConfigManager } from './configManager.js'
export { HashPartitioner, AffinityPartitioner } from './hashPartitioner.js'
export {
BaseOperationalMode,
ReaderMode,
WriterMode,
HybridMode,
OperationalModeFactory
} from './operationalModes.js'
export { DomainDetector } from './domainDetector.js'
export { HealthMonitor } from './healthMonitor.js'
export type {
HealthMetrics,
HealthStatus
} from './healthMonitor.js'
export type {
DomainPattern
} from './domainDetector.js'

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/**
* Operational Modes for Distributed Brainy
* Defines different modes with optimized caching strategies
*/
import {
OperationalMode,
CacheStrategy,
InstanceRole
} from '../types/distributedTypes.js'
/**
* Base operational mode
*/
export abstract class BaseOperationalMode implements OperationalMode {
abstract canRead: boolean
abstract canWrite: boolean
abstract canDelete: boolean
abstract cacheStrategy: CacheStrategy
/**
* Validate operation is allowed in this mode
*/
validateOperation(operation: 'read' | 'write' | 'delete'): void {
switch (operation) {
case 'read':
if (!this.canRead) {
throw new Error('Read operations are not allowed in write-only mode')
}
break
case 'write':
if (!this.canWrite) {
throw new Error('Write operations are not allowed in read-only mode')
}
break
case 'delete':
if (!this.canDelete) {
throw new Error('Delete operations are not allowed in this mode')
}
break
}
}
}
/**
* Read-only mode optimized for query performance
*/
export class ReaderMode extends BaseOperationalMode {
canRead = true
canWrite = false
canDelete = false
cacheStrategy: CacheStrategy = {
hotCacheRatio: 0.8, // 80% of memory for read cache
prefetchAggressive: true, // Aggressively prefetch related vectors
ttl: 3600000, // 1 hour cache TTL
compressionEnabled: true, // Trade CPU for more cache capacity
writeBufferSize: 0, // No write buffer needed
batchWrites: false, // No writes
adaptive: true // Adapt to query patterns
}
/**
* Get optimized cache configuration for readers
*/
getCacheConfig() {
return {
hotCacheMaxSize: 1000000, // Large hot cache
hotCacheEvictionThreshold: 0.9, // Keep cache full
warmCacheTTL: 3600000, // 1 hour warm cache
batchSize: 100, // Large batch reads
autoTune: true, // Auto-tune for read patterns
autoTuneInterval: 60000, // Tune every minute
readOnly: true // Enable read-only optimizations
}
}
}
/**
* Write-only mode optimized for ingestion
*/
export class WriterMode extends BaseOperationalMode {
canRead = false
canWrite = true
canDelete = true
cacheStrategy: CacheStrategy = {
hotCacheRatio: 0.2, // Only 20% for cache, rest for write buffer
prefetchAggressive: false, // No prefetching needed
ttl: 60000, // Short TTL (1 minute)
compressionEnabled: false, // Speed over memory efficiency
writeBufferSize: 10000, // Large write buffer for batching
batchWrites: true, // Enable write batching
adaptive: false // Fixed strategy for consistent writes
}
/**
* Get optimized cache configuration for writers
*/
getCacheConfig() {
return {
hotCacheMaxSize: 100000, // Small hot cache
hotCacheEvictionThreshold: 0.5, // Aggressive eviction
warmCacheTTL: 60000, // 1 minute warm cache
batchSize: 1000, // Large batch writes
autoTune: false, // Fixed configuration
writeOnly: true // Enable write-only optimizations
}
}
}
/**
* Hybrid mode that can both read and write
*/
export class HybridMode extends BaseOperationalMode {
canRead = true
canWrite = true
canDelete = true
cacheStrategy: CacheStrategy = {
hotCacheRatio: 0.5, // Balanced cache/buffer allocation
prefetchAggressive: false, // Moderate prefetching
ttl: 600000, // 10 minute TTL
compressionEnabled: true, // Compress when beneficial
writeBufferSize: 5000, // Moderate write buffer
batchWrites: true, // Batch writes when possible
adaptive: true // Adapt to workload mix
}
private readWriteRatio: number = 0.5 // Track read/write ratio
/**
* Get balanced cache configuration
*/
getCacheConfig() {
return {
hotCacheMaxSize: 500000, // Medium cache size
hotCacheEvictionThreshold: 0.7, // Balanced eviction
warmCacheTTL: 600000, // 10 minute warm cache
batchSize: 500, // Medium batch size
autoTune: true, // Auto-tune based on workload
autoTuneInterval: 300000 // Tune every 5 minutes
}
}
/**
* Update cache strategy based on workload
* @param readCount - Number of recent reads
* @param writeCount - Number of recent writes
*/
updateWorkloadBalance(readCount: number, writeCount: number): void {
const total = readCount + writeCount
if (total === 0) return
this.readWriteRatio = readCount / total
// Adjust cache strategy based on workload
if (this.readWriteRatio > 0.8) {
// Read-heavy workload
this.cacheStrategy.hotCacheRatio = 0.7
this.cacheStrategy.prefetchAggressive = true
this.cacheStrategy.writeBufferSize = 2000
} else if (this.readWriteRatio < 0.2) {
// Write-heavy workload
this.cacheStrategy.hotCacheRatio = 0.3
this.cacheStrategy.prefetchAggressive = false
this.cacheStrategy.writeBufferSize = 8000
} else {
// Balanced workload
this.cacheStrategy.hotCacheRatio = 0.5
this.cacheStrategy.prefetchAggressive = false
this.cacheStrategy.writeBufferSize = 5000
}
}
}
/**
* Factory for creating operational modes
*/
export class OperationalModeFactory {
/**
* Create operational mode based on role
* @param role - The instance role
* @returns The appropriate operational mode
*/
static createMode(role: InstanceRole): BaseOperationalMode {
switch (role) {
case 'reader':
return new ReaderMode()
case 'writer':
return new WriterMode()
case 'hybrid':
return new HybridMode()
default:
// Default to reader for safety
return new ReaderMode()
}
}
/**
* Create mode with custom cache strategy
* @param role - The instance role
* @param customStrategy - Custom cache strategy overrides
* @returns The operational mode with custom strategy
*/
static createModeWithStrategy(
role: InstanceRole,
customStrategy: Partial<CacheStrategy>
): BaseOperationalMode {
const mode = this.createMode(role)
// Apply custom strategy overrides
mode.cacheStrategy = {
...mode.cacheStrategy,
...customStrategy
}
return mode
}
}