import { CBDAdapter } from '../cbd-adapter.js';
import { TimeSeriesQuery, TimeSeriesPoint } from '../types.js';
export declare class TimeSeriesAPI implements TimeSeriesQuery {
    private metric;
    private adapter;
    private rangeStart?;
    private rangeEnd?;
    private tagFilters;
    constructor(metric: string, adapter: CBDAdapter);
    insert(timestamp: Date, value: number, tags?: Record<string, string>): Promise<void>;
    range(start: Date, end: Date): TimeSeriesAPI;
    where(tags: Record<string, string>): TimeSeriesAPI;
    aggregate(func: 'avg' | 'sum' | 'min' | 'max' | 'count', interval?: string): Promise<TimeSeriesPoint[]>;
    latest(): Promise<TimeSeriesPoint | null>;
    insertBatch(points: Array<{
        timestamp: Date;
        value: number;
        tags?: Record<string, string>;
    }>): Promise<void>;
    query(options?: {
        start?: Date;
        end?: Date;
        tags?: Record<string, string>;
        limit?: number;
        orderBy?: 'asc' | 'desc';
    }): Promise<TimeSeriesPoint[]>;
    delete(start: Date, end: Date, tags?: Record<string, string>): Promise<number>;
    stats(options?: {
        start?: Date;
        end?: Date;
        tags?: Record<string, string>;
    }): Promise<{
        count: number;
        min: number;
        max: number;
        avg: number;
        sum: number;
        stdDev: number;
    }>;
    downsample(interval: string, aggregationFunc?: 'avg' | 'sum' | 'min' | 'max' | 'count'): Promise<TimeSeriesPoint[]>;
    interpolate(method?: 'linear' | 'cubic' | 'nearest', interval?: string): Promise<TimeSeriesPoint[]>;
    forecast(periodsAhead: number, model?: 'linear' | 'seasonal' | 'arima'): Promise<TimeSeriesPoint[]>;
    detectAnomalies(algorithm?: 'zscore' | 'iqr' | 'isolation_forest', threshold?: number): Promise<Array<{
        point: TimeSeriesPoint;
        anomalyScore: number;
    }>>;
    private performAggregation;
    private calculateAggregateValue;
    private groupByInterval;
    private parseInterval;
    private performInterpolation;
}
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