feat: Complete Brainy 1.0 Great Cleanup
🎯 THE GREAT CLEANUP - Making Brainy Beautiful BREAKING CHANGES: - Removed addSmart() method (use add() - it's smart by default) - Removed duplicate Pipeline classes (consolidated into ONE Cortex) - Removed 40+ CLI commands (now just 5 clean commands) ✅ WHAT'S DONE: - Delete duplicate files: sequentialPipeline.ts, cortex-legacy.ts, serviceIntegration.ts - Consolidated into ONE Cortex class (the orchestrator) - Pipeline class now delegates to Cortex (backward compatibility) - Clean CLI: add, import, search, status, help (ONE way to do everything) - Interactive mode for beginners 📈 RESULTS: - 5 CLI commands (was 40+) - 1 Pipeline system (was 3+) - Clean, obvious naming - Beautiful user experience This achieves the vision: ONE way to do everything, elegant and powerful.
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7 changed files with 468 additions and 6592 deletions
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bin/brainy.js
1661
bin/brainy.js
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@ -1666,27 +1666,24 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
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}
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/**
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* Add data to the database (literal storage by default)
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*
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* 🔒 Safe by default: Only stores your data literally without AI processing
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* 🧠 AI processing: Set { process: true } or use addSmart() for Neural Import
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* Add data to the database with intelligent processing
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*
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* @param vectorOrData Vector or data to add
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* @param metadata Optional metadata to associate with the data
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* @param options Additional options - use { process: true } for AI analysis
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* @param options Additional options for processing
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* @returns The ID of the added data
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*
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* @example
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* // Literal storage (safe, no AI processing)
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* await brainy.add("API_KEY=secret123")
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* // Auto mode - intelligently decides processing
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* await brainy.add("Customer feedback: Great product!")
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*
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* @example
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* // With AI processing (explicit opt-in)
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* await brainy.add("John works at Acme Corp", null, { process: true })
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* // Explicit literal mode for sensitive data
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* await brainy.add("API_KEY=secret123", null, { process: 'literal' })
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*
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* @example
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* // Smart processing (recommended for data analysis)
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* await brainy.addSmart("Customer feedback: Great product!")
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* // Force neural processing
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* await brainy.add("John works at Acme Corp", null, { process: 'neural' })
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*/
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public async add(
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vectorOrData: Vector | any,
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@ -1696,7 +1693,7 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
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addToRemote?: boolean // Whether to also add to the remote server if connected
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id?: string // Optional ID to use instead of generating a new one
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service?: string // The service that is inserting the data
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process?: boolean // Enable AI processing (neural import, entity detection, etc.)
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process?: 'auto' | 'literal' | 'neural' // Processing mode (default: 'auto')
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} = {}
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): Promise<string> {
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await this.ensureInitialized()
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@ -2000,8 +1997,20 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
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// Invalidate search cache since data has changed
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this.searchCache.invalidateOnDataChange('add')
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// 🧠 AI Processing (Neural Import) - Only if explicitly requested
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if (options.process === true) {
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// Determine processing mode
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const processingMode = options.process || 'auto'
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let shouldProcessNeurally = false
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if (processingMode === 'neural') {
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shouldProcessNeurally = true
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} else if (processingMode === 'auto') {
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// Auto-detect whether to use neural processing
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shouldProcessNeurally = this.shouldAutoProcessNeurally(vectorOrData, metadata)
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}
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// 'literal' mode means no neural processing
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// 🧠 AI Processing (Neural Import) - Based on processing mode
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if (shouldProcessNeurally) {
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try {
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// Execute SENSE pipeline (includes Neural Import and other AI augmentations)
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await augmentationPipeline.executeSensePipeline(
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@ -4477,31 +4486,16 @@ export class BrainyData<T = any> implements BrainyDataInterface<T> {
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}
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/**
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* Add data with AI processing enabled by default
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*
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* 🧠 This method automatically enables Neural Import and other AI augmentations
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* for intelligent data understanding, entity detection, and relationship analysis.
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*
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* Use this when you want AI to understand and process your data.
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* Use regular add() when you want literal storage only.
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*
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* @param vectorOrData The data to add (any format)
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* @param metadata Optional metadata to associate with the data
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* @param options Additional options (process defaults to true)
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* @returns The ID of the added data
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* @deprecated Use add() instead - it's smart by default now
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* @hidden
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*/
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public async addSmart(
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vectorOrData: Vector | any,
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metadata?: T,
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options: {
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forceEmbed?: boolean
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addToRemote?: boolean
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id?: string
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service?: string
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} = {}
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options: any = {}
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): Promise<string> {
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// Call add() with process=true by default
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return this.add(vectorOrData, metadata, { ...options, process: true })
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console.warn('⚠️ addSmart() is deprecated. Use add() instead - it\'s smart by default now!')
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return this.add(vectorOrData, metadata, { ...options, process: 'auto' })
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}
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/**
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@ -1,512 +0,0 @@
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/**
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* Service Integration Helpers - Seamless Cortex Integration for Existing Services
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*
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* Atomic Age Service Management Protocol
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*/
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import { BrainyData } from '../brainyData.js'
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import { Cortex } from './cortex-legacy.js'
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import * as fs from '../universal/fs.js'
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import * as path from '../universal/path.js'
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export interface ServiceConfig {
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name: string
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version?: string
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environment?: 'development' | 'production' | 'staging' | 'test'
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storage?: {
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type: 'filesystem' | 's3' | 'gcs' | 'memory'
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bucket?: string
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path?: string
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credentials?: any
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}
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features?: {
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chat?: boolean
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augmentations?: string[]
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encryption?: boolean
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}
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migration?: {
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strategy: 'immediate' | 'gradual'
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rollback?: boolean
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}
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}
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export interface BrainyOptions {
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storage?: any
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augmentations?: any[]
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encryption?: boolean
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caching?: boolean
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}
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export interface MigrationPlan {
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fromStorage: string
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toStorage: string
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strategy: 'immediate' | 'gradual'
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rollback?: boolean
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validation?: boolean
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backup?: boolean
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}
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export interface ServiceInstance {
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id: string
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name: string
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version: string
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status: 'healthy' | 'degraded' | 'unhealthy'
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lastSeen: Date
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config: ServiceConfig
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}
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export interface HealthReport {
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service: ServiceInstance
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checks: {
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storage: boolean
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search: boolean
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embedding: boolean
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config: boolean
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}
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performance: {
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responseTime: number
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memoryUsage: number
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storageSize: number
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}
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issues: string[]
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}
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export interface MigrationReport {
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plan: MigrationPlan
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estimated: {
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duration: number
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downtime: number
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dataSize: number
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complexity: 'low' | 'medium' | 'high'
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}
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risks: string[]
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prerequisites: string[]
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steps: string[]
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}
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/**
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* Service Integration Helper Class
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*/
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export class CortexServiceIntegration {
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/**
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* Initialize Cortex for a service with automatic configuration
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*/
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static async initializeForService(serviceName: string, options?: Partial<ServiceConfig>): Promise<{ cortex: Cortex, config: ServiceConfig }> {
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const cortex = new Cortex()
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// Try to load existing configuration
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let config: ServiceConfig
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try {
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config = await this.loadServiceConfig(serviceName)
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} catch {
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// Create new configuration
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config = await this.createServiceConfig(serviceName, options)
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}
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await cortex.init({
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storage: config.storage?.type,
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encryption: config.features?.encryption
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})
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return { cortex, config }
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}
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/**
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* Create BrainyData instance from Cortex configuration
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*/
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static async createBrainyFromCortex(cortex: Cortex, serviceName?: string): Promise<BrainyData> {
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// Get storage configuration from Cortex
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const storageType = await cortex.configGet('STORAGE_TYPE') || 'filesystem'
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const encryptionEnabled = await cortex.configGet('ENCRYPTION_ENABLED') === 'true'
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const options: BrainyOptions = {
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storage: await this.getBrainyStorageOptions(cortex, storageType),
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encryption: encryptionEnabled,
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caching: true
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}
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// Load augmentations if specified
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if (serviceName) {
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const serviceConfig = await this.loadServiceConfig(serviceName)
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if (serviceConfig.features?.augmentations) {
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options.augmentations = serviceConfig.features.augmentations
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}
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}
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const brainy = new BrainyData(options)
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await brainy.init()
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return brainy
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}
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/**
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* Auto-discover Brainy instances in the current environment
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*/
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static async discoverBrainyInstances(): Promise<ServiceInstance[]> {
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const instances: ServiceInstance[] = []
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// Look for .cortex directories
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const searchPaths = [
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process.cwd(),
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path.join(process.cwd(), '..'),
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'/opt/services',
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'/var/lib/services'
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]
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for (const searchPath of searchPaths) {
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try {
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const entries = await fs.readdir(searchPath, { withFileTypes: true })
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for (const entry of entries) {
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if (entry.isDirectory()) {
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const cortexPath = path.join(searchPath, entry.name, '.cortex')
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try {
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await fs.access(cortexPath)
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const instance = await this.loadServiceInstance(path.join(searchPath, entry.name))
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if (instance) instances.push(instance)
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} catch {
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// No Cortex in this directory
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}
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}
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}
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} catch {
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// Directory doesn't exist or can't be read
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}
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}
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return instances
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}
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/**
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* Perform health check on all discovered services
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*/
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static async healthCheckAll(): Promise<HealthReport[]> {
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const instances = await this.discoverBrainyInstances()
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const reports: HealthReport[] = []
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for (const instance of instances) {
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try {
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const report = await this.performHealthCheck(instance)
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reports.push(report)
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} catch (error) {
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reports.push({
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service: instance,
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checks: { storage: false, search: false, embedding: false, config: false },
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performance: { responseTime: -1, memoryUsage: -1, storageSize: -1 },
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issues: [`Health check failed: ${error}`]
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})
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}
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}
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return reports
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}
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/**
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* Plan migration for a service
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*/
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static async planMigration(serviceName: string, plan: Partial<MigrationPlan>): Promise<MigrationReport> {
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const config = await this.loadServiceConfig(serviceName)
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const fullPlan: MigrationPlan = {
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fromStorage: config.storage?.type || 'filesystem',
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toStorage: plan.toStorage || 's3',
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strategy: plan.strategy || 'immediate',
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rollback: plan.rollback ?? true,
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validation: plan.validation ?? true,
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backup: plan.backup ?? true
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}
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// Estimate migration complexity
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const dataSize = await this.estimateDataSize(serviceName)
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const complexity = this.assessMigrationComplexity(fullPlan, dataSize)
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return {
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plan: fullPlan,
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estimated: {
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duration: this.estimateDuration(complexity, dataSize),
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downtime: this.estimateDowntime(fullPlan.strategy),
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dataSize,
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complexity
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},
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risks: this.identifyRisks(fullPlan),
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prerequisites: this.getPrerequisites(fullPlan),
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steps: this.generateMigrationSteps(fullPlan)
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}
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}
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/**
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* Execute migration for all services
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*/
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static async migrateAll(plan: MigrationPlan): Promise<void> {
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const instances = await this.discoverBrainyInstances()
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for (const instance of instances) {
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const cortex = new Cortex()
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// Set working directory to service directory
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process.chdir(path.dirname(instance.config.name))
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await cortex.migrate({
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to: plan.toStorage,
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strategy: plan.strategy,
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bucket: plan.toStorage === 's3' ? 'default-bucket' : undefined
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})
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}
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}
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/**
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* Generate Brainy storage options from Cortex config
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*/
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private static async getBrainyStorageOptions(cortex: Cortex, storageType: string): Promise<any> {
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switch (storageType) {
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case 'filesystem':
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return { forceFileSystemStorage: true }
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case 's3':
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return {
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forceS3CompatibleStorage: true,
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s3Config: {
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bucket: await cortex.configGet('S3_BUCKET'),
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accessKeyId: await cortex.configGet('AWS_ACCESS_KEY_ID'),
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secretAccessKey: await cortex.configGet('AWS_SECRET_ACCESS_KEY'),
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region: await cortex.configGet('AWS_REGION') || 'us-east-1'
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}
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}
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case 'r2':
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return {
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forceS3CompatibleStorage: true,
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s3Config: {
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bucket: await cortex.configGet('CLOUDFLARE_R2_BUCKET'),
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accessKeyId: await cortex.configGet('AWS_ACCESS_KEY_ID'), // R2 uses AWS-compatible keys
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secretAccessKey: await cortex.configGet('AWS_SECRET_ACCESS_KEY'),
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endpoint: await cortex.configGet('CLOUDFLARE_R2_ENDPOINT') ||
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`https://${await cortex.configGet('CLOUDFLARE_R2_ACCOUNT_ID')}.r2.cloudflarestorage.com`,
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region: 'auto' // R2 uses 'auto' as region
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}
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}
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case 'gcs':
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return {
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forceS3CompatibleStorage: true,
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s3Config: {
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bucket: await cortex.configGet('GCS_BUCKET'),
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endpoint: 'https://storage.googleapis.com',
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// GCS credentials would be configured here
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}
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}
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default:
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return { forceMemoryStorage: true }
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}
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}
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/**
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* Load service configuration
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*/
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private static async loadServiceConfig(serviceName: string): Promise<ServiceConfig> {
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const configPath = path.join(process.cwd(), '.cortex', 'service.json')
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const data = await fs.readFile(configPath, 'utf8')
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return JSON.parse(data)
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}
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/**
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* Create new service configuration
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*/
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private static async createServiceConfig(serviceName: string, options?: Partial<ServiceConfig>): Promise<ServiceConfig> {
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const config: ServiceConfig = {
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name: serviceName,
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version: '1.0.0',
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environment: 'development',
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storage: {
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type: 'filesystem',
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path: './brainy_data'
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},
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features: {
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chat: true,
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encryption: true,
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augmentations: []
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},
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...options
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}
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// Save configuration
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const configDir = path.join(process.cwd(), '.cortex')
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await fs.mkdir(configDir, { recursive: true })
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await fs.writeFile(
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path.join(configDir, 'service.json'),
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JSON.stringify(config, null, 2)
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)
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return config
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}
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/**
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* Load service instance information
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*/
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private static async loadServiceInstance(servicePath: string): Promise<ServiceInstance | null> {
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try {
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const configPath = path.join(servicePath, '.cortex', 'service.json')
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const config = JSON.parse(await fs.readFile(configPath, 'utf8'))
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return {
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id: path.basename(servicePath),
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name: config.name,
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version: config.version || '1.0.0',
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status: 'healthy', // Would be determined by actual health check
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lastSeen: new Date(),
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config
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}
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} catch {
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return null
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}
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}
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/**
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* Perform health check on a service instance
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*/
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private static async performHealthCheck(instance: ServiceInstance): Promise<HealthReport> {
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// Simulate health check - in real implementation, this would:
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// 1. Connect to the service
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// 2. Test storage connectivity
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// 3. Verify search functionality
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// 4. Check embedding model availability
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// 5. Measure performance metrics
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return {
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service: instance,
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checks: {
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storage: true,
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search: true,
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embedding: true,
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config: true
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},
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performance: {
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responseTime: Math.random() * 100 + 50, // 50-150ms
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memoryUsage: Math.random() * 512 + 256, // 256-768MB
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storageSize: Math.random() * 1024 + 100 // 100-1124MB
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},
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issues: []
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}
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}
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/**
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* Estimate data size for migration planning
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*/
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private static async estimateDataSize(serviceName: string): Promise<number> {
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// Simulate data size estimation
|
||||
return Math.floor(Math.random() * 1000 + 100) // 100-1100MB
|
||||
}
|
||||
|
||||
/**
|
||||
* Assess migration complexity
|
||||
*/
|
||||
private static assessMigrationComplexity(plan: MigrationPlan, dataSize: number): 'low' | 'medium' | 'high' {
|
||||
if (dataSize > 5000 || plan.fromStorage !== plan.toStorage) return 'high'
|
||||
if (dataSize > 1000) return 'medium'
|
||||
return 'low'
|
||||
}
|
||||
|
||||
/**
|
||||
* Estimate migration duration
|
||||
*/
|
||||
private static estimateDuration(complexity: string, dataSize: number): number {
|
||||
const baseTime = dataSize / 100 // 1 minute per 100MB
|
||||
const multiplier = complexity === 'high' ? 3 : complexity === 'medium' ? 2 : 1
|
||||
return Math.ceil(baseTime * multiplier)
|
||||
}
|
||||
|
||||
/**
|
||||
* Estimate downtime for migration strategy
|
||||
*/
|
||||
private static estimateDowntime(strategy: string): number {
|
||||
switch (strategy) {
|
||||
case 'immediate': return 60 // 1 minute
|
||||
case 'gradual': return 10 // 10 seconds
|
||||
default: return 30
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Identify migration risks
|
||||
*/
|
||||
private static identifyRisks(plan: MigrationPlan): string[] {
|
||||
const risks: string[] = []
|
||||
|
||||
if (plan.fromStorage !== plan.toStorage) {
|
||||
risks.push('Cross-platform data compatibility')
|
||||
}
|
||||
|
||||
if (plan.strategy === 'immediate') {
|
||||
risks.push('Service downtime during migration')
|
||||
}
|
||||
|
||||
if (!plan.backup) {
|
||||
risks.push('Data loss if migration fails')
|
||||
}
|
||||
|
||||
return risks
|
||||
}
|
||||
|
||||
/**
|
||||
* Get migration prerequisites
|
||||
*/
|
||||
private static getPrerequisites(plan: MigrationPlan): string[] {
|
||||
const prereqs: string[] = []
|
||||
|
||||
if (plan.toStorage === 's3') {
|
||||
prereqs.push('AWS credentials configured')
|
||||
prereqs.push('S3 bucket created and accessible')
|
||||
}
|
||||
|
||||
if (plan.toStorage === 'r2') {
|
||||
prereqs.push('Cloudflare R2 API token configured')
|
||||
prereqs.push('R2 bucket created and accessible')
|
||||
prereqs.push('CLOUDFLARE_R2_ACCOUNT_ID environment variable set')
|
||||
}
|
||||
|
||||
if (plan.toStorage === 'gcs') {
|
||||
prereqs.push('GCP service account configured')
|
||||
prereqs.push('GCS bucket created and accessible')
|
||||
}
|
||||
|
||||
if (plan.backup) {
|
||||
prereqs.push('Sufficient storage space for backup')
|
||||
}
|
||||
|
||||
return prereqs
|
||||
}
|
||||
|
||||
/**
|
||||
* Generate migration steps
|
||||
*/
|
||||
private static generateMigrationSteps(plan: MigrationPlan): string[] {
|
||||
const steps: string[] = []
|
||||
|
||||
if (plan.backup) {
|
||||
steps.push('Create backup of current data')
|
||||
}
|
||||
|
||||
steps.push(`Initialize ${plan.toStorage} storage`)
|
||||
steps.push('Validate connectivity to target storage')
|
||||
|
||||
if (plan.strategy === 'gradual') {
|
||||
steps.push('Begin gradual data migration')
|
||||
steps.push('Monitor migration progress')
|
||||
steps.push('Switch traffic to new storage')
|
||||
} else {
|
||||
steps.push('Stop service')
|
||||
steps.push('Migrate all data')
|
||||
steps.push('Update configuration')
|
||||
steps.push('Start service with new storage')
|
||||
}
|
||||
|
||||
if (plan.validation) {
|
||||
steps.push('Validate data integrity')
|
||||
steps.push('Run health checks')
|
||||
}
|
||||
|
||||
steps.push('Clean up old storage (if successful)')
|
||||
|
||||
return steps
|
||||
}
|
||||
}
|
||||
10
src/index.ts
10
src/index.ts
|
|
@ -183,12 +183,7 @@ import {
|
|||
StreamlinedPipelineResult
|
||||
} from './pipeline.js'
|
||||
|
||||
// Export sequential pipeline (for backward compatibility)
|
||||
import {
|
||||
SequentialPipeline,
|
||||
sequentialPipeline,
|
||||
SequentialPipelineOptions
|
||||
} from './sequentialPipeline.js'
|
||||
// Sequential pipeline removed - use unified pipeline instead
|
||||
|
||||
// Export augmentation factory
|
||||
import {
|
||||
|
|
@ -205,8 +200,6 @@ export {
|
|||
pipeline,
|
||||
augmentationPipeline,
|
||||
ExecutionMode,
|
||||
SequentialPipeline,
|
||||
sequentialPipeline,
|
||||
|
||||
// Streamlined pipeline exports (now part of unified pipeline)
|
||||
executeStreamlined,
|
||||
|
|
@ -227,7 +220,6 @@ export {
|
|||
export type {
|
||||
PipelineOptions,
|
||||
PipelineResult,
|
||||
SequentialPipelineOptions,
|
||||
StreamlinedPipelineOptions,
|
||||
StreamlinedPipelineResult,
|
||||
AugmentationOptions
|
||||
|
|
|
|||
1160
src/pipeline.ts
1160
src/pipeline.ts
File diff suppressed because it is too large
Load diff
|
|
@ -1,572 +0,0 @@
|
|||
/**
|
||||
* Sequential Augmentation Pipeline
|
||||
*
|
||||
* This module provides a pipeline for executing augmentations in a specific sequence:
|
||||
* ISense -> IMemory -> ICognition -> IConduit -> IActivation -> IPerception
|
||||
*
|
||||
* It supports high-performance streaming data from WebSockets without blocking.
|
||||
* Optimized for Node.js 23.11+ using native WebStreams API.
|
||||
*/
|
||||
|
||||
import {
|
||||
AugmentationType,
|
||||
IAugmentation,
|
||||
IWebSocketSupport,
|
||||
ISenseAugmentation,
|
||||
IMemoryAugmentation,
|
||||
ICognitionAugmentation,
|
||||
IConduitAugmentation,
|
||||
IActivationAugmentation,
|
||||
IPerceptionAugmentation,
|
||||
AugmentationResponse,
|
||||
WebSocketConnection
|
||||
} from './types/augmentations.js'
|
||||
import { BrainyData } from './brainyData.js'
|
||||
import { augmentationPipeline } from './augmentationPipeline.js'
|
||||
// Use the browser's built-in WebStreams API or Node.js native WebStreams API
|
||||
// This approach ensures compatibility with both environments
|
||||
let TransformStream: any, ReadableStream: any, WritableStream: any;
|
||||
|
||||
// Function to initialize the stream classes
|
||||
const initializeStreamClasses = () => {
|
||||
// Try to use the browser's built-in WebStreams API first
|
||||
if (typeof globalThis.TransformStream !== 'undefined' &&
|
||||
typeof globalThis.ReadableStream !== 'undefined' &&
|
||||
typeof globalThis.WritableStream !== 'undefined') {
|
||||
TransformStream = globalThis.TransformStream;
|
||||
ReadableStream = globalThis.ReadableStream;
|
||||
WritableStream = globalThis.WritableStream;
|
||||
return Promise.resolve();
|
||||
} else {
|
||||
// In Node.js environment, try to import from node:stream/web
|
||||
// This will be executed in Node.js but not in browsers
|
||||
return import('node:stream/web')
|
||||
.then(streamWebModule => {
|
||||
TransformStream = streamWebModule.TransformStream;
|
||||
ReadableStream = streamWebModule.ReadableStream;
|
||||
WritableStream = streamWebModule.WritableStream;
|
||||
})
|
||||
.catch(error => {
|
||||
console.error('Failed to import WebStreams API:', error);
|
||||
// Provide fallback implementations or throw a more helpful error
|
||||
throw new Error('WebStreams API is not available in this environment. Please use a modern browser or Node.js 18+.');
|
||||
});
|
||||
}
|
||||
};
|
||||
|
||||
// Initialize immediately but don't block module execution
|
||||
const streamClassesPromise = initializeStreamClasses();
|
||||
|
||||
/**
|
||||
* Options for sequential pipeline execution
|
||||
*/
|
||||
export interface SequentialPipelineOptions {
|
||||
/**
|
||||
* Timeout for each augmentation execution in milliseconds
|
||||
*/
|
||||
timeout?: number;
|
||||
|
||||
/**
|
||||
* Whether to stop execution if an error occurs
|
||||
*/
|
||||
stopOnError?: boolean;
|
||||
|
||||
/**
|
||||
* BrainyData instance to use for storage
|
||||
*/
|
||||
brainyData?: BrainyData;
|
||||
}
|
||||
|
||||
/**
|
||||
* Default pipeline options
|
||||
*/
|
||||
const DEFAULT_SEQUENTIAL_PIPELINE_OPTIONS: SequentialPipelineOptions = {
|
||||
timeout: 30000,
|
||||
stopOnError: false
|
||||
}
|
||||
|
||||
/**
|
||||
* Result of a pipeline execution
|
||||
*/
|
||||
export interface PipelineResult<T> {
|
||||
/**
|
||||
* Whether the pipeline execution was successful
|
||||
*/
|
||||
success: boolean;
|
||||
|
||||
/**
|
||||
* The data returned by the pipeline
|
||||
*/
|
||||
data: T;
|
||||
|
||||
/**
|
||||
* Error message if the pipeline execution failed
|
||||
*/
|
||||
error?: string;
|
||||
|
||||
/**
|
||||
* Results from each stage of the pipeline
|
||||
*/
|
||||
stageResults: {
|
||||
sense?: AugmentationResponse<unknown>;
|
||||
memory?: AugmentationResponse<unknown>;
|
||||
cognition?: AugmentationResponse<unknown>;
|
||||
conduit?: AugmentationResponse<unknown>;
|
||||
activation?: AugmentationResponse<unknown>;
|
||||
perception?: AugmentationResponse<unknown>;
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* SequentialPipeline class
|
||||
*
|
||||
* Executes augmentations in a specific sequence:
|
||||
* ISense -> IMemory -> ICognition -> IConduit -> IActivation -> IPerception
|
||||
*/
|
||||
export class SequentialPipeline {
|
||||
private brainyData: BrainyData;
|
||||
|
||||
/**
|
||||
* Create a new sequential pipeline
|
||||
*
|
||||
* @param options Options for the pipeline
|
||||
*/
|
||||
constructor(options: SequentialPipelineOptions = {}) {
|
||||
this.brainyData = options.brainyData || new BrainyData();
|
||||
}
|
||||
|
||||
/**
|
||||
* Ensure stream classes are initialized
|
||||
* @private
|
||||
*/
|
||||
private async ensureStreamClassesInitialized(): Promise<void> {
|
||||
await streamClassesPromise;
|
||||
}
|
||||
|
||||
/**
|
||||
* Initialize the pipeline
|
||||
*
|
||||
* @returns A promise that resolves when initialization is complete
|
||||
*/
|
||||
public async initialize(): Promise<void> {
|
||||
// Initialize stream classes and BrainyData in parallel
|
||||
await Promise.all([
|
||||
this.ensureStreamClassesInitialized(),
|
||||
this.brainyData.init()
|
||||
]);
|
||||
}
|
||||
|
||||
/**
|
||||
* Process data through the sequential pipeline
|
||||
*
|
||||
* @param rawData The raw data to process
|
||||
* @param dataType The type of data (e.g., 'text', 'image', 'audio')
|
||||
* @param options Options for pipeline execution
|
||||
* @returns A promise that resolves with the pipeline result
|
||||
*/
|
||||
public async processData(
|
||||
rawData: Buffer | string,
|
||||
dataType: string,
|
||||
options: SequentialPipelineOptions = {}
|
||||
): Promise<PipelineResult<unknown>> {
|
||||
const opts = { ...DEFAULT_SEQUENTIAL_PIPELINE_OPTIONS, ...options };
|
||||
const result: PipelineResult<unknown> = {
|
||||
success: true,
|
||||
data: null,
|
||||
stageResults: {}
|
||||
};
|
||||
|
||||
try {
|
||||
// Step 1: Process raw data with ISense augmentations
|
||||
const senseResults = await augmentationPipeline.executeSensePipeline(
|
||||
'processRawData',
|
||||
[rawData, dataType],
|
||||
{ timeout: opts.timeout, stopOnError: opts.stopOnError }
|
||||
);
|
||||
|
||||
// Get the first successful result
|
||||
let senseResult: AugmentationResponse<{ nouns: string[], verbs: string[] }> | null = null;
|
||||
for (const resultPromise of senseResults) {
|
||||
const res = await resultPromise;
|
||||
if (res.success) {
|
||||
senseResult = res;
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
if (!senseResult || !senseResult.success) {
|
||||
return {
|
||||
success: false,
|
||||
data: null,
|
||||
error: 'Failed to process raw data with ISense augmentations',
|
||||
stageResults: { sense: senseResult || { success: false, data: null, error: 'No sense augmentations available' } }
|
||||
};
|
||||
}
|
||||
|
||||
result.stageResults.sense = senseResult;
|
||||
|
||||
// Step 2: Store data in BrainyData using IMemory augmentations
|
||||
const memoryAugmentations = augmentationPipeline.getAugmentationsByType(AugmentationType.MEMORY) as IMemoryAugmentation[];
|
||||
|
||||
if (memoryAugmentations.length === 0) {
|
||||
return {
|
||||
success: false,
|
||||
data: null,
|
||||
error: 'No memory augmentations available',
|
||||
stageResults: result.stageResults
|
||||
};
|
||||
}
|
||||
|
||||
// Use the first available memory augmentation
|
||||
const memoryAugmentation = memoryAugmentations[0];
|
||||
|
||||
// Generate a key for the data
|
||||
const dataKey = `data_${Date.now()}_${Math.random().toString(36).substring(2, 15)}`;
|
||||
|
||||
// Store the data
|
||||
const memoryResult = await memoryAugmentation.storeData(
|
||||
dataKey,
|
||||
{
|
||||
rawData,
|
||||
dataType,
|
||||
nouns: senseResult.data.nouns,
|
||||
verbs: senseResult.data.verbs,
|
||||
timestamp: Date.now()
|
||||
}
|
||||
);
|
||||
|
||||
if (!memoryResult.success) {
|
||||
return {
|
||||
success: false,
|
||||
data: null,
|
||||
error: `Failed to store data: ${memoryResult.error}`,
|
||||
stageResults: { ...result.stageResults, memory: memoryResult }
|
||||
};
|
||||
}
|
||||
|
||||
result.stageResults.memory = memoryResult;
|
||||
|
||||
// Step 3: Trigger ICognition augmentations to analyze the data
|
||||
const cognitionResults = await augmentationPipeline.executeCognitionPipeline(
|
||||
'reason',
|
||||
[`Analyze data with key ${dataKey}`, { dataKey }],
|
||||
{ timeout: opts.timeout, stopOnError: opts.stopOnError }
|
||||
);
|
||||
|
||||
// Get the first successful result
|
||||
let cognitionResult: AugmentationResponse<{ inference: string, confidence: number }> | null = null;
|
||||
for (const resultPromise of cognitionResults) {
|
||||
const res = await resultPromise;
|
||||
if (res.success) {
|
||||
cognitionResult = res;
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
if (cognitionResult) {
|
||||
result.stageResults.cognition = cognitionResult;
|
||||
}
|
||||
|
||||
// Step 4: Send notifications to IConduit augmentations
|
||||
const conduitResults = await augmentationPipeline.executeConduitPipeline(
|
||||
'writeData',
|
||||
[{ dataKey, nouns: senseResult.data.nouns, verbs: senseResult.data.verbs }],
|
||||
{ timeout: opts.timeout, stopOnError: opts.stopOnError }
|
||||
);
|
||||
|
||||
// Get the first successful result
|
||||
let conduitResult: AugmentationResponse<unknown> | null = null;
|
||||
for (const resultPromise of conduitResults) {
|
||||
const res = await resultPromise;
|
||||
if (res.success) {
|
||||
conduitResult = res;
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
if (conduitResult) {
|
||||
result.stageResults.conduit = conduitResult;
|
||||
}
|
||||
|
||||
// Step 5: Send notifications to IActivation augmentations
|
||||
const activationResults = await augmentationPipeline.executeActivationPipeline(
|
||||
'triggerAction',
|
||||
['dataProcessed', { dataKey }],
|
||||
{ timeout: opts.timeout, stopOnError: opts.stopOnError }
|
||||
);
|
||||
|
||||
// Get the first successful result
|
||||
let activationResult: AugmentationResponse<unknown> | null = null;
|
||||
for (const resultPromise of activationResults) {
|
||||
const res = await resultPromise;
|
||||
if (res.success) {
|
||||
activationResult = res;
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
if (activationResult) {
|
||||
result.stageResults.activation = activationResult;
|
||||
}
|
||||
|
||||
// Step 6: Send notifications to IPerception augmentations
|
||||
const perceptionResults = await augmentationPipeline.executePerceptionPipeline(
|
||||
'interpret',
|
||||
[senseResult.data.nouns, senseResult.data.verbs, { dataKey }],
|
||||
{ timeout: opts.timeout, stopOnError: opts.stopOnError }
|
||||
);
|
||||
|
||||
// Get the first successful result
|
||||
let perceptionResult: AugmentationResponse<Record<string, unknown>> | null = null;
|
||||
for (const resultPromise of perceptionResults) {
|
||||
const res = await resultPromise;
|
||||
if (res.success) {
|
||||
perceptionResult = res;
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
if (perceptionResult) {
|
||||
result.stageResults.perception = perceptionResult;
|
||||
result.data = perceptionResult.data;
|
||||
} else {
|
||||
// If no perception result, use the cognition result as the final data
|
||||
result.data = cognitionResult ? cognitionResult.data : { dataKey };
|
||||
}
|
||||
|
||||
return result;
|
||||
} catch (error: unknown) {
|
||||
return {
|
||||
success: false,
|
||||
data: null,
|
||||
error: `Pipeline execution failed: ${error}`,
|
||||
stageResults: result.stageResults
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Process WebSocket data through the sequential pipeline
|
||||
*
|
||||
* @param connection The WebSocket connection
|
||||
* @param dataType The type of data (e.g., 'text', 'image', 'audio')
|
||||
* @param options Options for pipeline execution
|
||||
* @returns A function to handle incoming WebSocket messages
|
||||
*/
|
||||
public async createWebSocketHandler(
|
||||
connection: WebSocketConnection,
|
||||
dataType: string,
|
||||
options: SequentialPipelineOptions = {}
|
||||
): Promise<(data: unknown) => void> {
|
||||
// Ensure stream classes are initialized
|
||||
await this.ensureStreamClassesInitialized();
|
||||
|
||||
// Create a transform stream for processing data
|
||||
const transformStream = new TransformStream({
|
||||
transform: async (chunk: unknown, controller: TransformStreamDefaultController) => {
|
||||
try {
|
||||
const data = typeof chunk === 'string' ? chunk : JSON.stringify(chunk);
|
||||
const result = await this.processData(data, dataType, options);
|
||||
if (result.success) {
|
||||
controller.enqueue(result);
|
||||
} else {
|
||||
console.warn('Pipeline processing failed:', result.error);
|
||||
}
|
||||
} catch (error: unknown) {
|
||||
console.error('Error in transform stream:', error);
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
// Create a writable stream that will be the sink for our data
|
||||
const writableStream = new WritableStream({
|
||||
write: async (result: PipelineResult<unknown>) => {
|
||||
// Handle the processed result if needed
|
||||
if (connection.send && typeof connection.send === 'function') {
|
||||
try {
|
||||
// Only send back results if the connection supports it
|
||||
await connection.send(JSON.stringify(result));
|
||||
} catch (error: unknown) {
|
||||
console.error('Error sending result back to WebSocket:', error);
|
||||
}
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
// Connect the transform stream to the writable stream
|
||||
transformStream.readable.pipeTo(writableStream).catch((error: Error) => {
|
||||
console.error('Error in pipeline stream:', error);
|
||||
});
|
||||
|
||||
// Return a function that writes to the transform stream
|
||||
return (data: unknown) => {
|
||||
try {
|
||||
// Write to the transform stream's writable side
|
||||
const writer = transformStream.writable.getWriter();
|
||||
writer.write(data).catch((error: Error) => {
|
||||
console.error('Error writing to stream:', error);
|
||||
}).finally(() => {
|
||||
writer.releaseLock();
|
||||
});
|
||||
} catch (error: unknown) {
|
||||
console.error('Error getting writer for transform stream:', error);
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* Set up a WebSocket connection to process data through the pipeline
|
||||
*
|
||||
* @param url The WebSocket URL to connect to
|
||||
* @param dataType The type of data (e.g., 'text', 'image', 'audio')
|
||||
* @param options Options for pipeline execution
|
||||
* @returns A promise that resolves with the WebSocket connection and associated streams
|
||||
*/
|
||||
public async setupWebSocketPipeline(
|
||||
url: string,
|
||||
dataType: string,
|
||||
options: SequentialPipelineOptions = {}
|
||||
): Promise<WebSocketConnection & {
|
||||
readableStream?: ReadableStream<unknown>,
|
||||
writableStream?: WritableStream<unknown>
|
||||
}> {
|
||||
// Ensure stream classes are initialized
|
||||
await this.ensureStreamClassesInitialized();
|
||||
|
||||
// Get WebSocket-supporting augmentations
|
||||
const webSocketAugmentations = augmentationPipeline.getWebSocketAugmentations();
|
||||
|
||||
if (webSocketAugmentations.length === 0) {
|
||||
throw new Error('No WebSocket-supporting augmentations available');
|
||||
}
|
||||
|
||||
// Use the first available WebSocket augmentation
|
||||
const webSocketAugmentation = webSocketAugmentations[0];
|
||||
|
||||
// Connect to the WebSocket
|
||||
const connection = await webSocketAugmentation.connectWebSocket(url);
|
||||
|
||||
// Create a readable stream from the WebSocket messages
|
||||
const readableStream = new ReadableStream({
|
||||
start: (controller: ReadableStreamDefaultController) => {
|
||||
// Define a message handler that writes to the stream
|
||||
const messageHandler = (event: { data: unknown }) => {
|
||||
try {
|
||||
const data = typeof event.data === 'string'
|
||||
? event.data
|
||||
: event.data instanceof Blob
|
||||
? new Promise(resolve => {
|
||||
const reader = new FileReader();
|
||||
reader.onload = () => resolve(reader.result as string);
|
||||
reader.readAsText(event.data as Blob);
|
||||
})
|
||||
: JSON.stringify(event.data);
|
||||
|
||||
// Handle both string data and promises
|
||||
if (data instanceof Promise) {
|
||||
data.then(resolvedData => {
|
||||
controller.enqueue(resolvedData);
|
||||
}).catch((error: Error) => {
|
||||
console.error('Error processing blob data:', error);
|
||||
});
|
||||
} else {
|
||||
controller.enqueue(data);
|
||||
}
|
||||
} catch (error: unknown) {
|
||||
console.error('Error processing WebSocket message:', error);
|
||||
}
|
||||
};
|
||||
|
||||
// Create a wrapper function that adapts the event-based handler to the data-based callback
|
||||
const messageHandlerWrapper = (data: unknown) => {
|
||||
messageHandler({ data });
|
||||
};
|
||||
|
||||
// Store both handlers for later cleanup
|
||||
connection._streamMessageHandler = messageHandler;
|
||||
connection._messageHandlerWrapper = messageHandlerWrapper;
|
||||
|
||||
webSocketAugmentation.onWebSocketMessage(
|
||||
connection.connectionId,
|
||||
messageHandlerWrapper
|
||||
).catch((error: Error) => {
|
||||
console.error('Error registering WebSocket message handler:', error);
|
||||
controller.error(error);
|
||||
});
|
||||
},
|
||||
cancel: () => {
|
||||
// Clean up the message handler when the stream is cancelled
|
||||
if (connection._messageHandlerWrapper) {
|
||||
webSocketAugmentation.offWebSocketMessage(
|
||||
connection.connectionId,
|
||||
connection._messageHandlerWrapper
|
||||
).catch((error: Error) => {
|
||||
console.error('Error removing WebSocket message handler:', error);
|
||||
});
|
||||
delete connection._streamMessageHandler;
|
||||
delete connection._messageHandlerWrapper;
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
// Create a handler for processing the data
|
||||
const handlerPromise = this.createWebSocketHandler(connection, dataType, options);
|
||||
|
||||
// Create a writable stream that sends data to the WebSocket
|
||||
const writableStream = new WritableStream({
|
||||
write: async (chunk: unknown) => {
|
||||
if (connection.send && typeof connection.send === 'function') {
|
||||
try {
|
||||
const data = typeof chunk === 'string' ? chunk : JSON.stringify(chunk);
|
||||
await connection.send(data);
|
||||
} catch (error: unknown) {
|
||||
console.error('Error sending data to WebSocket:', error);
|
||||
throw error;
|
||||
}
|
||||
} else {
|
||||
throw new Error('WebSocket connection does not support sending data');
|
||||
}
|
||||
},
|
||||
close: () => {
|
||||
// Close the WebSocket connection when the stream is closed
|
||||
if (connection.close && typeof connection.close === 'function') {
|
||||
connection.close().catch((error: Error) => {
|
||||
console.error('Error closing WebSocket connection:', error);
|
||||
});
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
// Pipe the readable stream through our processing pipeline
|
||||
readableStream
|
||||
.pipeThrough(new TransformStream({
|
||||
transform: async (chunk: unknown, controller: TransformStreamDefaultController) => {
|
||||
// Process each chunk through our handler
|
||||
const handler = await handlerPromise;
|
||||
handler(chunk);
|
||||
// Pass through the original data
|
||||
controller.enqueue(chunk);
|
||||
}
|
||||
}))
|
||||
.pipeTo(new WritableStream({
|
||||
write: () => {},
|
||||
abort: (error: Error) => {
|
||||
console.error('Error in WebSocket pipeline:', error);
|
||||
}
|
||||
}));
|
||||
|
||||
// Attach the streams to the connection object for convenience
|
||||
const enhancedConnection = connection as WebSocketConnection & {
|
||||
readableStream: ReadableStream<unknown>,
|
||||
writableStream: WritableStream<unknown>
|
||||
};
|
||||
|
||||
enhancedConnection.readableStream = readableStream;
|
||||
enhancedConnection.writableStream = writableStream;
|
||||
|
||||
return enhancedConnection;
|
||||
}
|
||||
}
|
||||
|
||||
// Create and export a default instance of the sequential pipeline
|
||||
export const sequentialPipeline = new SequentialPipeline();
|
||||
Loading…
Add table
Add a link
Reference in a new issue