import { DyE2E_CWVMetric_Type } from '../../contracts/_enums/cwv-metric-type.enum';
import { DyE2E_CWVThresholds_Interface } from '../../contracts/_models/interfaces/cwv-thresholds.interface';
import { DyE2E_CWVMeasurement_DataModel } from '../_models/cwv-measurement.data-model';
/**
 * MP-05/Wave-3 — Attribution-based diagnose util.
 *
 * Bemenet: measurement-tömb + thresholds. Kimenet: human-readable diagnose
 * sorok — "LCP p75 = 4200ms (cél: 2500ms). A leglassabb LCP target:
 * `IMG#hero-banner`. Optimalizálás: preload + dimension-set."
 */
export interface DyE2E_CWVDiagnose_Hint {
    metric: DyE2E_CWVMetric_Type;
    /** A measured p75 érték. */
    p75: number;
    /** A threshold (ha definiált). */
    threshold?: number;
    /** A legrosszabb futás target-info (a `measurement.attribution`-ből). */
    worstTarget?: string;
    /** Human-readable summary. */
    summary: string;
    /** Optimalizálási javaslat. */
    suggestion: string;
}
export declare class DyE2E_CWVDiagnose_Util {
    /**
     * Per-metric percentile-számolás (lásd `DyE2E_CWVAggregator_Util` is —
     * itt egy-self-contained verzió a diagnose-flow-hoz).
     */
    private static percentile;
    /** Diagnose egy metricre — visszaadja a hint-et vagy null-t ha nincs adat. */
    static diagnoseMetric(measurements: DyE2E_CWVMeasurement_DataModel[], metric: DyE2E_CWVMetric_Type, thresholds: DyE2E_CWVThresholds_Interface): DyE2E_CWVDiagnose_Hint | null;
    /** Diagnose minden metric-re egyszerre. */
    static diagnoseAll(measurements: DyE2E_CWVMeasurement_DataModel[], thresholds: DyE2E_CWVThresholds_Interface): DyE2E_CWVDiagnose_Hint[];
    /** Egy metric-szintű optimalizálási javaslat. */
    private static suggest;
}
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