@simonecoelhosfo/optimizely-mcp-server/dist/analytics/robust-parser/matchers/FuzzyMatcher.d.ts

Optimizely MCP Server for AI assistants with integrated CLI tools

/**
 * FuzzyMatcher - Handles typos and variations in natural language queries
 *
 * IMPLEMENTATION STATUS:
 * COMPLETE: Levenshtein distance, soundex, n-gram matching
 *
 * Last Updated: July 3, 2025
 */
import { EntityType } from '../types/index.js';
export interface FuzzyMatch {
    original: string;
    matched: string;
    confidence: number;
    type: 'entity' | 'field' | 'action';
    algorithm: 'exact' | 'levenshtein' | 'soundex' | 'ngram';
}
export declare class FuzzyMatcher {
    private readonly maxDistance;
    private readonly minSimilarity;
    constructor(config?: {
        maxDistance?: number;
        minSimilarity?: number;
    });
    /**
     * Find best entity match using fuzzy matching
     */
    findEntity(term: string): FuzzyMatch | null;
    /**
     * Find best field match using fuzzy matching
     */
    findField(term: string, entityContext?: EntityType): FuzzyMatch | null;
    /**
     * Levenshtein distance algorithm
     */
    private levenshteinDistance;
    /**
     * Soundex algorithm for phonetic matching
     */
    private soundex;
    /**
     * N-gram similarity calculation
     */
    private ngramSimilarity;
    /**
     * Generate n-grams from string
     */
    private getNgrams;
    /**
     * Get singular form of a word (simple rules)
     */
    private getSingular;
    /**
     * Get plural form of a word (simple rules)
     */
    private getPlural;
    /**
     * Find best matches for a phrase
     */
    findBestMatches(phrase: string, maxResults?: number): FuzzyMatch[];
}
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