/**
 * Recommendation engine for Weft diagnostics.
 *
 * Analyzes database health, workflow statistics, and queue statistics
 * to produce actionable recommendations ordered by severity.
 *
 * @module diagnostics/recommendations
 */
import type { DatabaseHealth, QueueStatistics, Recommendation, WorkflowStatistics } from './types.ts';
import { THRESHOLDS } from './types.ts';
/**
 * Generate recommendations based on diagnostic data.
 *
 * Rules are checked in a fixed order so that the most critical issues
 * appear first in the returned array.
 *
 * @example
 * ```ts
 * import { MemoryStorage, collectDiagnostics, generateRecommendations } from '@lostgradient/weft';
 *
 * await using storage = new MemoryStorage();
 * const report = await collectDiagnostics(storage, ':memory:');
 * const recs = generateRecommendations({
 *   database: report.database,
 *   workflows: report.workflows,
 *   queues: report.queues,
 * });
 * console.log(recs.length); // 0 for a healthy instance
 * ```
 */
export declare function generateRecommendations(report: {
    database: DatabaseHealth;
    workflows: WorkflowStatistics;
    queues: QueueStatistics[];
}, thresholds?: Partial<{
    [K in keyof typeof THRESHOLDS]: number;
}>): Recommendation[];