/**
 * Pattern Matcher
 *
 * Matches new issues against learned patterns and suggests actions
 */
import type { JiraIssue } from '../types';
import type { AutomationPattern } from './types';
export interface MatchResult {
    pattern: AutomationPattern;
    confidence: number;
    suggestedAction: any;
}
export interface MatchSuggestions {
    labels?: {
        suggested: string[];
        confidence: number;
    };
    assignment?: {
        suggestedAssignee: string;
        confidence: number;
        reason: string;
    };
    status?: {
        suggestedTransition: string;
        confidence: number;
        reason: string;
    };
    duplicates?: {
        similarIssues: Array<{
            key: string;
            similarity: number;
        }>;
        confidence: number;
    };
}
export declare class PatternMatcher {
    private patterns;
    /**
     * Load patterns to match against
     */
    loadPatterns(patterns: AutomationPattern[]): void;
    /**
     * Match an issue against all patterns and get suggestions
     */
    matchIssue(issue: JiraIssue): MatchSuggestions;
    /**
     * Match label patterns
     */
    private matchLabelPatterns;
    /**
     * Calculate confidence for label pattern match
     */
    private calculateLabelConfidence;
    /**
     * Match assignment patterns
     */
    private matchAssignmentPatterns;
    /**
     * Calculate confidence for assignment pattern match
     */
    private calculateAssignmentConfidence;
    /**
     * Match status transition patterns
     */
    private matchStatusPatterns;
    /**
     * Calculate confidence for status transition pattern match
     */
    private calculateStatusConfidence;
    /**
     * Find duplicate candidates
     */
    findDuplicates(issue: JiraIssue, allIssues: JiraIssue[], threshold?: number): Array<{
        issue: JiraIssue;
        similarity: number;
    }>;
    /**
     * Extract text for similarity comparison
     */
    private extractIssueText;
    /**
     * Calculate text similarity (simple Jaccard similarity)
     */
    private calculateSimilarity;
}
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