import { CreateLabelingTasksRequest, TaskCreationResult, SyncAnnotationsRequest, SyncAnnotationsResult, DatasetLabelingStatus, DatasetLabelingStatusRequest, GeneratePredictionsForDatasetRequest } from '../types/dataset-labeling-types.js';
import { BatchPredictionResult } from '../types/prediction-types.js';
/**
 * Dataset Labeling Integration Service
 *
 * Integrates Things-Factory Dataset module with Label Studio for AI-assisted labeling
 *
 * Features:
 * - Create Label Studio tasks from DataSamples
 * - Auto-generate AI predictions for labeling tasks
 * - Sync human annotations back to DataSamples
 * - Track labeling progress and status
 */
export declare class DatasetLabelingIntegration {
    /**
     * Create Label Studio labeling tasks from DataSamples in a DataSet
     * Optionally generates AI predictions automatically
     */
    createLabelingTasksFromDataset(input: CreateLabelingTasksRequest, context: ResolverContext): Promise<TaskCreationResult>;
    /**
     * Sync completed annotations from Label Studio back to DataSamples
     */
    syncAnnotationsToDataset(input: SyncAnnotationsRequest, context: ResolverContext): Promise<SyncAnnotationsResult>;
    /**
     * Generate AI predictions for existing DataSet samples
     */
    generatePredictionsForDataset(input: GeneratePredictionsForDatasetRequest, context: ResolverContext): Promise<BatchPredictionResult>;
    /**
     * Query labeling status for a DataSet
     */
    datasetLabelingStatus(input: DatasetLabelingStatusRequest, context: ResolverContext): Promise<DatasetLabelingStatus>;
    /**
     * Helper: Extract image URL from DataSample
     */
    private extractImageUrl;
    /**
     * Helper: Convert AI detection results to Label Studio format
     */
    private convertToLabelStudioFormat;
    /**
     * Helper: Convert Label Studio annotation to DataSample judgment format
     */
    private convertAnnotationToJudgment;
}