David Snelling
8ff382ca3b
CRITICAL CHECKPOINT - DO NOT PUSH TO GITHUB Recovery Status: - Successfully recovered brainy.ts from compiled JavaScript - All core v3.0 API methods functional (add, get, update, delete, relate, find, etc.) - Neural subsystem intact (562KB embedded patterns, NLP working) - Augmentation pipeline operational (20+ augmentations) - HNSW clustering system complete - Triple Intelligence compiled (needs constructor fix) - Test suite validates functionality Changes preserved: - 898 files with changes from last 3 days - 144,475 insertions - All augmentation improvements - All test coverage enhancements - Complete v3.0 feature set This is a LOCAL checkpoint only - contains recovered work after corruption incident. Created backup in .backups/brainy-full-20250910-151314.tar.gz Branch: recovery-checkpoint-20250910-151433 Date: Wed Sep 10 03:18:04 PM PDT 2025
64 lines
1.8 KiB
TypeScript
64 lines
1.8 KiB
TypeScript
/**
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* 🧠 Natural Language Query Processor - STATIC VERSION
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* No runtime initialization, no memory leaks, patterns pre-built at compile time
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*
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* Uses static pattern matching with 220 pre-built patterns
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*/
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import { Vector } from '../coreTypes.js';
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import { TripleQuery } from '../triple/TripleIntelligence.js';
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export interface NaturalQueryIntent {
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type: 'vector' | 'field' | 'graph' | 'combined';
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confidence: number;
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extractedTerms: {
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entities?: string[];
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fields?: string[];
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relationships?: string[];
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modifiers?: string[];
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};
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}
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export declare class NaturalLanguageProcessor {
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private queryHistory;
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constructor();
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/**
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* No initialization needed - patterns are pre-built!
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*/
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init(): Promise<void>;
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/**
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* Process natural language query into structured Triple Intelligence query
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* @param naturalQuery The natural language query string
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* @param queryEmbedding Pre-computed embedding from Brainy (passed in to avoid circular dependency)
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*/
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processNaturalQuery(naturalQuery: string, queryEmbedding?: Vector): Promise<TripleQuery>;
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/**
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* Analyze query intent using keywords
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*/
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private analyzeIntent;
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/**
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* Extract field terms from query
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*/
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private extractFieldTerms;
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/**
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* Extract relationship terms
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*/
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private extractRelationshipTerms;
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/**
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* Build field constraints from extracted terms
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*/
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private buildFieldConstraints;
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/**
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* Find similar queries from history (without using Brainy)
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*/
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private findSimilarQueries;
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/**
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* Adapt a previous query for new input
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*/
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private adaptQuery;
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/**
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* Extract entities from query
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*/
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private extractEntities;
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/**
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* Build query from components
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*/
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private buildQuery;
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}
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