import type { TimeSeriesPoint, LatencyPercentiles } from '../types/metrics.ts';
/**
 * Collects time-series metrics and latency data during simulation.
 *
 * Time-series data is stored per (componentId, metricName) pair.
 * Latency values are stored with timestamps for windowed percentile computation.
 * Sorted insertion is used within getLatencyPercentiles for efficient percentile calculation.
 */
export declare class MetricCollector {
    /** Map of "componentId::metricName" → time-series points */
    private timeSeries;
    /** All recorded latency entries (unsorted; sorted on demand per window) */
    private latencyEntries;
    /** Record a generic metric data point for a component */
    record(componentId: string, metricName: string, value: number, time: number): void;
    /** Record an end-to-end latency measurement */
    recordLatency(latency: number, time: number): void;
    /** Retrieve the full time-series for a (componentId, metricName) pair */
    getTimeSeries(componentId: string, metricName: string): TimeSeriesPoint[];
    /**
     * Compute latency percentiles (p50, p95, p99, p99.9) over a time window.
     *
     * Entries are appended chronologically (simulation clock is monotonic), so
     * binary search locates the window boundaries. Entries before windowStart
     * are pruned since the window only advances forward.
     *
     * Returns all zeros for empty windows.
     */
    getLatencyPercentiles(windowStart: number, windowEnd: number): LatencyPercentiles;
    /** Reset all collected metrics */
    reset(): void;
}
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