refactor: remove src/cortex/ directory and fix README claims
- Move neuralImport.ts and neuralImportAugmentation.ts to src/neural/ - Delete 3 dead files (healthCheck, backupRestore, performanceMonitor) - Remove cortex entries from package.json browser field - Fix unsubstantiated performance claims in README (add PROJECTED labels) - Delete stale dist/cortex/ artifacts
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0292cf2ddf
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9 changed files with 16 additions and 1702 deletions
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@ -1,633 +0,0 @@
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/**
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* Neural Import - AI-Powered Data Understanding
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*
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* Standalone implementation for intelligent data processing.
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*/
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import { NounType, VerbType } from '../types/graphTypes.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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import { prodLog } from '../utils/logger.js'
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// Neural Import Analysis Types
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export interface NeuralAnalysisResult {
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detectedEntities: DetectedEntity[]
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detectedRelationships: DetectedRelationship[]
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confidence: number
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insights: NeuralInsight[]
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}
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export interface DetectedEntity {
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originalData: any
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nounType: string
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confidence: number
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suggestedId: string
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reasoning: string
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alternativeTypes: Array<{ type: string, confidence: number }>
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}
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export interface DetectedRelationship {
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sourceId: string
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targetId: string
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verbType: string
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confidence: number
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weight: number
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reasoning: string
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context: string
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metadata?: Record<string, any>
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}
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export interface NeuralInsight {
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type: 'hierarchy' | 'cluster' | 'pattern' | 'anomaly' | 'opportunity'
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description: string
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confidence: number
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affectedEntities: string[]
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recommendation?: string
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}
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export interface NeuralImportConfig {
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confidenceThreshold: number
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enableWeights: boolean
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skipDuplicates: boolean
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categoryFilter?: string[]
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dataType?: string
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}
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/**
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* Neural Import Augmentation - Unified Implementation
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* Processes data with AI before storage operations
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*/
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export class NeuralImportAugmentation {
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readonly name = 'neural-import'
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private operations = ['add', 'addNoun', 'addVerb', 'all']
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protected config: NeuralImportConfig
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private analysisCache = new Map<string, NeuralAnalysisResult>()
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private context?: { brain: any }
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constructor(config: Partial<NeuralImportConfig> = {}) {
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this.config = {
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confidenceThreshold: 0.7,
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enableWeights: true,
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skipDuplicates: true,
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dataType: 'json',
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...config
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}
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}
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async init(): Promise<void> {
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// No external dependencies to initialize
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}
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private log(message: string, _level?: string): void {
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// Silent by default
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}
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/**
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* Execute augmentation - process data with AI before storage
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*/
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async execute<T = any>(
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operation: string,
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params: any,
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next: () => Promise<T>
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): Promise<T> {
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// Only process on add operations
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if (!this.operations.includes(operation as any)) {
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return next()
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}
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try {
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// Extract data from params based on operation
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const rawData = this.extractRawData(operation, params)
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if (!rawData) {
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return next()
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}
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// Perform neural analysis
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const analysis = await this.performNeuralAnalysis(rawData, this.config)
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// Enhance params with neural insights
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if (params.metadata) {
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params.metadata._neuralProcessed = true
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params.metadata._neuralConfidence = analysis.confidence
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params.metadata._detectedEntities = analysis.detectedEntities.length
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params.metadata._detectedRelationships = analysis.detectedRelationships.length
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params.metadata._neuralInsights = analysis.insights
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} else if (typeof params === 'object') {
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params.metadata = {
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_neuralProcessed: true,
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_neuralConfidence: analysis.confidence,
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_detectedEntities: analysis.detectedEntities.length,
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_detectedRelationships: analysis.detectedRelationships.length,
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_neuralInsights: analysis.insights
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}
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}
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// Store neural analysis for later retrieval
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await this.storeNeuralAnalysis(analysis)
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// If we detected entities/relationships, potentially add them
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if (this.context?.brain && analysis.detectedEntities.length > 0) {
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// This could automatically create entities/relationships
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// But for now, just enhance the metadata
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this.log(`Detected ${analysis.detectedEntities.length} entities and ${analysis.detectedRelationships.length} relationships`)
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}
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// Continue with enhanced data
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return next()
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} catch (error) {
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this.log(`Neural analysis failed: ${error}`, 'warn')
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// Continue without neural processing
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return next()
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}
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}
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/**
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* Extract raw data from operation params
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*/
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private extractRawData(operation: string, params: any): any {
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switch (operation) {
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case 'add':
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return params.content || params.data || params
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case 'addNoun':
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return params.noun || params.data || params
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case 'addVerb':
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return params.verb || params
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case 'addBatch':
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return params.items || params.batch || params
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default:
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return null
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}
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}
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/**
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* Get the full neural analysis result (for external use)
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*/
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async getNeuralAnalysis(rawData: Buffer | string, dataType?: string): Promise<NeuralAnalysisResult> {
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const parsedData = await this.parseRawData(rawData, dataType || this.config.dataType || 'json')
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return await this.performNeuralAnalysis(parsedData, this.config)
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}
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/**
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* Parse raw data based on type
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*/
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private async parseRawData(rawData: Buffer | string, dataType: string): Promise<any[]> {
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const content = typeof rawData === 'string' ? rawData : rawData.toString('utf8')
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switch (dataType.toLowerCase()) {
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case 'json':
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try {
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const jsonData = JSON.parse(content)
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return Array.isArray(jsonData) ? jsonData : [jsonData]
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} catch {
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// If JSON parse fails, treat as text
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return [{ text: content }]
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}
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case 'csv':
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return this.parseCSV(content)
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case 'yaml':
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case 'yml':
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return this.parseYAML(content)
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case 'txt':
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case 'text':
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// Split text into sentences/paragraphs for analysis
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return content.split(/\n+/).filter(line => line.trim()).map(line => ({ text: line }))
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default:
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// Unknown type, treat as text
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return [{ text: content }]
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}
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}
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/**
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* Parse CSV data - handles quoted values, escaped quotes, and edge cases
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*/
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private parseCSV(content: string): any[] {
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const lines = content.split('\n')
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if (lines.length === 0) return []
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// Parse a CSV line handling quotes
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const parseLine = (line: string): string[] => {
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const result: string[] = []
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let current = ''
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let inQuotes = false
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let i = 0
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while (i < line.length) {
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const char = line[i]
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const nextChar = line[i + 1]
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if (char === '"') {
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if (inQuotes && nextChar === '"') {
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// Escaped quote
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current += '"'
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i += 2
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} else {
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// Toggle quote mode
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inQuotes = !inQuotes
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i++
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}
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} else if (char === ',' && !inQuotes) {
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// Field separator
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result.push(current.trim())
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current = ''
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i++
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} else {
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current += char
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i++
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}
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}
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// Add last field
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result.push(current.trim())
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return result
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}
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// Parse headers
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const headers = parseLine(lines[0])
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const data = []
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// Parse data rows
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for (let i = 1; i < lines.length; i++) {
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const line = lines[i].trim()
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if (!line) continue // Skip empty lines
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const values = parseLine(line)
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const row: any = {}
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headers.forEach((header, index) => {
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const value = values[index] || ''
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// Try to parse numbers
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const num = Number(value)
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row[header] = !isNaN(num) && value !== '' ? num : value
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})
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data.push(row)
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}
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return data
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}
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/**
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* Parse YAML data
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*/
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private parseYAML(content: string): any[] {
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try {
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// Simple YAML parser for basic structures
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// For full YAML support, we'd use js-yaml library
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const lines = content.split('\n')
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const result: any[] = []
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let currentObject: any = null
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let currentIndent = 0
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for (const line of lines) {
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const trimmed = line.trim()
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if (!trimmed || trimmed.startsWith('#')) continue // Skip empty lines and comments
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// Calculate indentation
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const indent = line.length - line.trimStart().length
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// Check for array item
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if (trimmed.startsWith('- ')) {
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const value = trimmed.substring(2).trim()
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if (indent === 0) {
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// Top-level array item
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if (value.includes(':')) {
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// Object in array
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currentObject = {}
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result.push(currentObject)
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const [key, val] = value.split(':').map(s => s.trim())
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currentObject[key] = this.parseYAMLValue(val)
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} else {
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result.push(this.parseYAMLValue(value))
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}
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} else if (currentObject) {
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// Nested array
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const lastKey = Object.keys(currentObject).pop()
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if (lastKey) {
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if (!Array.isArray(currentObject[lastKey])) {
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currentObject[lastKey] = []
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}
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currentObject[lastKey].push(this.parseYAMLValue(value))
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}
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}
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} else if (trimmed.includes(':')) {
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// Key-value pair
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const colonIndex = trimmed.indexOf(':')
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const key = trimmed.substring(0, colonIndex).trim()
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const value = trimmed.substring(colonIndex + 1).trim()
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if (indent === 0) {
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// Top-level object
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if (!currentObject) {
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currentObject = {}
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result.push(currentObject)
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}
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currentObject[key] = this.parseYAMLValue(value)
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currentIndent = 0
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} else if (currentObject) {
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// Nested object
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if (indent > currentIndent && !value) {
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// Start of nested object
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const lastKey = Object.keys(currentObject).pop()
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if (lastKey) {
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currentObject[lastKey] = { [key]: '' }
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}
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} else {
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currentObject[key] = this.parseYAMLValue(value)
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}
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currentIndent = indent
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}
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}
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}
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// If we built a single object and not an array, wrap it
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if (result.length === 0 && currentObject) {
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result.push(currentObject)
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}
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return result.length > 0 ? result : [{ text: content }]
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} catch (error) {
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prodLog.warn('YAML parsing failed, treating as text:', error)
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return [{ text: content }]
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}
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}
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/**
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* Parse a YAML value (handle strings, numbers, booleans, null)
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*/
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private parseYAMLValue(value: string): any {
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if (!value || value === '~' || value === 'null') return null
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if (value === 'true') return true
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if (value === 'false') return false
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// Remove quotes if present
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if ((value.startsWith('"') && value.endsWith('"')) ||
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(value.startsWith("'") && value.endsWith("'"))) {
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return value.slice(1, -1)
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}
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// Try to parse as number
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const num = Number(value)
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if (!isNaN(num) && value !== '') return num
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return value
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}
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/**
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* Perform neural analysis on parsed data
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*/
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private async performNeuralAnalysis(data: any[], config?: any): Promise<NeuralAnalysisResult> {
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const detectedEntities: DetectedEntity[] = []
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const detectedRelationships: DetectedRelationship[] = []
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const insights: NeuralInsight[] = []
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// Simple entity detection (in real implementation, would use ML)
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for (const item of data) {
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if (typeof item === 'object') {
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// Detect entities from object properties
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const entityId = item.id || item.name || item.title || `entity_${Date.now()}_${Math.random()}`
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detectedEntities.push({
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originalData: item,
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nounType: await this.inferNounType(item),
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confidence: 0.85,
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suggestedId: String(entityId),
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reasoning: 'Detected from structured data',
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alternativeTypes: []
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})
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// Detect relationships from references
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await this.detectRelationships(item, entityId, detectedRelationships)
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}
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}
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// Generate insights
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if (detectedEntities.length > 10) {
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insights.push({
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type: 'pattern',
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description: `Large dataset with ${detectedEntities.length} entities detected`,
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confidence: 0.9,
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affectedEntities: detectedEntities.slice(0, 5).map(e => e.suggestedId),
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recommendation: 'Consider batch processing for optimal performance'
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})
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}
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// Look for clusters
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const typeGroups = this.groupByType(detectedEntities)
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if (Object.keys(typeGroups).length > 1) {
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insights.push({
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type: 'cluster',
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description: `Multiple entity types detected: ${Object.keys(typeGroups).join(', ')}`,
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confidence: 0.8,
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affectedEntities: [],
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recommendation: 'Data contains diverse entity types suitable for graph analysis'
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})
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}
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return {
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detectedEntities,
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detectedRelationships,
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confidence: detectedEntities.length > 0 ? 0.85 : 0.5,
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insights
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}
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}
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/**
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* Infer noun type from object structure using field heuristics
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*/
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private async inferNounType(obj: any): Promise<string> {
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if (typeof obj !== 'object' || obj === null) return NounType.Thing
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// Check for explicit type field
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if (obj.type && typeof obj.type === 'string') {
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const normalized = obj.type.charAt(0).toUpperCase() + obj.type.slice(1)
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if (Object.values(NounType).includes(normalized as NounType)) {
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return normalized as NounType
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}
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}
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|
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if (obj.email || obj.firstName || obj.lastName || obj.username) return NounType.Person
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if (obj.companyName || obj.organizationId || obj.employees) return NounType.Organization
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if (obj.latitude || obj.longitude || obj.address || obj.city) return NounType.Location
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if ((obj.content && (obj.title || obj.author)) || obj.pages) return NounType.Document
|
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if (obj.startTime || obj.endTime || obj.date || obj.attendees) return NounType.Event
|
||||
if (obj.price || obj.sku || obj.productId) return NounType.Product
|
||||
if ((obj.status && obj.assignee) || obj.priority) return NounType.Task
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||||
if (Array.isArray(obj.data) || obj.rows || obj.columns) return NounType.Dataset
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||||
|
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return NounType.Thing
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}
|
||||
|
||||
/**
|
||||
* Detect relationships from object references
|
||||
*/
|
||||
private async detectRelationships(obj: any, sourceId: string, relationships: DetectedRelationship[]): Promise<void> {
|
||||
// Look for reference patterns
|
||||
for (const [key, value] of Object.entries(obj)) {
|
||||
if (key.endsWith('Id') || key.endsWith('_id') || key === 'parentId' || key === 'userId') {
|
||||
relationships.push({
|
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sourceId,
|
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targetId: String(value),
|
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verbType: await this.inferVerbType(key, obj, { id: value }),
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||||
confidence: 0.75,
|
||||
weight: 1,
|
||||
reasoning: `Reference detected in field: ${key}`,
|
||||
context: key
|
||||
})
|
||||
}
|
||||
|
||||
// Array of IDs
|
||||
if (Array.isArray(value) && value.length > 0 && typeof value[0] === 'string') {
|
||||
if (key.endsWith('Ids') || key.endsWith('_ids')) {
|
||||
for (const targetId of value) {
|
||||
relationships.push({
|
||||
sourceId,
|
||||
targetId: String(targetId),
|
||||
verbType: await this.inferVerbType(key, obj, { id: targetId }),
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||||
confidence: 0.7,
|
||||
weight: 1,
|
||||
reasoning: `Array reference in field: ${key}`,
|
||||
context: key
|
||||
})
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Infer verb type from field name using common patterns
|
||||
*/
|
||||
private async inferVerbType(fieldName: string, _sourceObj?: any, _targetObj?: any): Promise<string> {
|
||||
const field = fieldName.toLowerCase()
|
||||
|
||||
if (field.includes('parent') || field.includes('child') || field.includes('contain')) {
|
||||
return VerbType.Contains
|
||||
}
|
||||
if (field.includes('owner') || field.includes('created') || field.includes('author')) {
|
||||
return VerbType.Creates
|
||||
}
|
||||
if (field.includes('member') || field.includes('belong')) {
|
||||
return VerbType.MemberOf
|
||||
}
|
||||
if (field.includes('depend') || field.includes('require')) {
|
||||
return VerbType.DependsOn
|
||||
}
|
||||
if (field.includes('ref') || field.includes('link') || field.includes('source')) {
|
||||
return VerbType.References
|
||||
}
|
||||
|
||||
return VerbType.RelatedTo
|
||||
}
|
||||
|
||||
/**
|
||||
* Group entities by type
|
||||
*/
|
||||
private groupByType(entities: DetectedEntity[]): Record<string, DetectedEntity[]> {
|
||||
const groups: Record<string, DetectedEntity[]> = {}
|
||||
|
||||
for (const entity of entities) {
|
||||
if (!groups[entity.nounType]) {
|
||||
groups[entity.nounType] = []
|
||||
}
|
||||
groups[entity.nounType].push(entity)
|
||||
}
|
||||
|
||||
return groups
|
||||
}
|
||||
|
||||
/**
|
||||
* Store neural analysis results
|
||||
*/
|
||||
private async storeNeuralAnalysis(analysis: NeuralAnalysisResult): Promise<void> {
|
||||
// Cache the analysis for potential later use
|
||||
const key = `analysis_${Date.now()}`
|
||||
this.analysisCache.set(key, analysis)
|
||||
|
||||
// Limit cache size
|
||||
if (this.analysisCache.size > 100) {
|
||||
const firstKey = this.analysisCache.keys().next().value
|
||||
if (firstKey) {
|
||||
this.analysisCache.delete(firstKey)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Helper to get data type from file path
|
||||
*/
|
||||
private getDataTypeFromPath(filePath: string): string {
|
||||
const ext = path.extname(filePath).toLowerCase()
|
||||
switch (ext) {
|
||||
case '.json': return 'json'
|
||||
case '.csv': return 'csv'
|
||||
case '.txt': return 'text'
|
||||
case '.yaml':
|
||||
case '.yml': return 'yaml'
|
||||
default: return 'text'
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* PUBLIC API: Process raw data (for external use, like Synapses)
|
||||
* This maintains compatibility with code that wants to use Neural Import directly
|
||||
*/
|
||||
async processRawData(
|
||||
rawData: Buffer | string,
|
||||
dataType: string,
|
||||
options?: Record<string, unknown>
|
||||
): Promise<{
|
||||
success: boolean
|
||||
data: {
|
||||
nouns: string[]
|
||||
verbs: string[]
|
||||
confidence?: number
|
||||
insights?: Array<{
|
||||
type: string
|
||||
description: string
|
||||
confidence: number
|
||||
}>
|
||||
metadata?: Record<string, unknown>
|
||||
}
|
||||
error?: string
|
||||
}> {
|
||||
try {
|
||||
const analysis = await this.getNeuralAnalysis(rawData, dataType)
|
||||
|
||||
// Convert to legacy format for compatibility
|
||||
const nouns = analysis.detectedEntities.map(e => e.suggestedId)
|
||||
const verbs = analysis.detectedRelationships.map(r =>
|
||||
`${r.sourceId}->${r.verbType}->${r.targetId}`
|
||||
)
|
||||
|
||||
return {
|
||||
success: true,
|
||||
data: {
|
||||
nouns,
|
||||
verbs,
|
||||
confidence: analysis.confidence,
|
||||
insights: analysis.insights.map(i => ({
|
||||
type: i.type,
|
||||
description: i.description,
|
||||
confidence: i.confidence
|
||||
})),
|
||||
metadata: {
|
||||
detectedEntities: analysis.detectedEntities.length,
|
||||
detectedRelationships: analysis.detectedRelationships.length,
|
||||
timestamp: new Date().toISOString()
|
||||
}
|
||||
}
|
||||
}
|
||||
} catch (error) {
|
||||
return {
|
||||
success: false,
|
||||
data: { nouns: [], verbs: [] },
|
||||
error: error instanceof Error ? error.message : 'Neural analysis failed'
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
Loading…
Add table
Add a link
Reference in a new issue