gmail-mcp-server/dist/utils/enhanced-search.d.ts

Gmail MCP Server with on-demand authentication for SIYA/Claude Desktop. Complete Gmail integration with multi-user support and OAuth2 security.

/**
 * Enhanced Gmail Search Implementation
 * Provides natural language query parsing, fuzzy matching, and cross-reference detection
 */
export interface EnhancedSearchQuery {
    text: string;
    dateRange?: {
        start: Date;
        end: Date;
    };
    sender?: string[];
    subject?: string;
    hasAttachment?: boolean;
    labels?: string[];
    threadId?: string;
    entities?: {
        panNumbers?: string[];
        dinNumbers?: string[];
        amounts?: number[];
        organizations?: string[];
        dates?: Date[];
    };
    intent?: 'find_document' | 'check_status' | 'find_related' | 'summarize' | 'general';
}
export interface SearchResult {
    email: any;
    matchScore: number;
    matchedField: string;
    relevance: 'exact' | 'high' | 'medium' | 'low';
    crossReferences?: string[];
}
export interface CrossReferenceInfo {
    emailId: string;
    relationship: 'same_thread' | 'same_sender' | 'same_topic' | 'same_entity';
    confidence: number;
    reason: string;
}
/**
 * Natural Language Query Parser
 * Converts natural language queries into structured search criteria
 */
export declare class NLQueryParser {
    private readonly timePatterns;
    private readonly entityPatterns;
    private readonly intentKeywords;
    parseQuery(naturalQuery: string): EnhancedSearchQuery;
    private extractTimeRange;
    private extractEntities;
    private extractSenders;
    private extractSubjectKeywords;
    private detectIntent;
    private extractAttachmentRequirement;
    private extractLabels;
    private parseDate;
    private getMonthNumber;
}
/**
 * Fuzzy Matching Engine
 * Provides intelligent matching with similarity scoring
 */
export declare class FuzzyMatcher {
    private readonly similarityThreshold;
    constructor(threshold?: number);
    calculateSimilarity(str1: string, str2: string): number;
    private calculateCharacterSimilarity;
    findMatches(query: string, emails: any[]): SearchResult[];
    private extractSender;
    private extractContent;
    private decodeBase64Url;
    private getRelevanceLevel;
    private findCrossReferences;
}
/**
 * Cross-Reference Detection Engine
 * Finds related emails based on various criteria
 */
export declare class CrossReferenceEngine {
    findRelatedEmails(email: any, allEmails: any[]): Promise<CrossReferenceInfo[]>;
    private extractEntities;
    private extractPANNumbers;
    private extractDINNumbers;
    private extractAmounts;
    private extractOrganizations;
    private extractDates;
    private findRelationship;
    private extractSender;
    private findEntityMatches;
    private calculateTopicSimilarity;
}
/**
 * Enhanced Search Manager
 * Combines all enhanced search capabilities
 */
export declare class EnhancedSearchManager {
    private nlParser;
    private fuzzyMatcher;
    private crossReferenceEngine;
    constructor(fuzzyThreshold?: number);
    processNaturalLanguageQuery(naturalQuery: string, emails: any[]): Promise<{
        structuredQuery: EnhancedSearchQuery;
        searchResults: SearchResult[];
        crossReferences: CrossReferenceInfo[];
    }>;
    private deduplicateCrossReferences;
}
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