/**
 * Agentic QE v3 - Defect Intelligence MCP Tool
 *
 * qe/defects/predict - Predict defect probability using ML models
 *
 * This tool wraps the REAL defect-intelligence domain service.
 * Uses actual code analysis, git history, and weighted feature prediction.
 */
import { MCPToolBase, MCPToolConfig, MCPToolContext } from '../base';
import { ToolResult } from '../../types';
export interface DefectPredictParams {
    files?: string[];
    target?: string;
    lookback?: number;
    minConfidence?: number;
    threshold?: number;
    features?: PredictionFeature[];
    [key: string]: unknown;
}
export interface PredictionFeature {
    name: string;
    weight?: number;
}
export interface DefectPredictResult {
    predictions: FilePrediction[];
    modelConfidence: number;
    topRiskFactors: RiskFactor[];
    recommendations: string[];
    modelMetrics: {
        accuracy: number;
        precision: number;
        recall: number;
        f1Score: number;
    };
}
export interface FilePrediction {
    file: string;
    probability: number;
    riskLevel: 'critical' | 'high' | 'medium' | 'low';
    factors: ContributingFactor[];
    recommendations: string[];
}
export interface ContributingFactor {
    name: string;
    contribution: number;
    description: string;
}
export interface RiskFactor {
    name: string;
    impact: number;
    affectedFiles: number;
}
export declare class DefectPredictTool extends MCPToolBase<DefectPredictParams, DefectPredictResult> {
    readonly config: MCPToolConfig;
    private predictorService;
    /**
     * Get or create the defect predictor service
     */
    private getService;
    execute(params: DefectPredictParams, context: MCPToolContext): Promise<ToolResult<DefectPredictResult>>;
    /**
     * Return demo defect prediction data when no real data available.
     * Only used when demoMode is explicitly requested or as fallback with warning.
     */
    private getDemoResult;
}
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