/**
 * Unless explicitly stated otherwise all files in this repository are licensed under the Apache-2.0 License.
 * This product includes software developed at Datadog (https://www.datadoghq.com/).
 * Copyright 2020-Present Datadog, Inc.
 */
import { LogsFilter } from "./LogsFilter";
import { LogsPipelineProcessorType } from "./LogsPipelineProcessorType";
import { LogsProcessor } from "./LogsProcessor";
import { AttributeTypeMap } from "../../datadog-api-client-common/util";
/**
 * Nested Pipelines are pipelines within a pipeline. Use Nested Pipelines to split the processing into two steps.
 * For example, first use a high-level filtering such as team and then a second level of filtering based on the
 * integration, service, or any other tag or attribute.
 *
 * A pipeline can contain Nested Pipelines and Processors whereas a Nested Pipeline can only contain Processors.
 */
export declare class LogsPipelineProcessor {
    /**
     * Filter for logs.
     */
    "filter"?: LogsFilter;
    /**
     * Whether or not the processor is enabled.
     */
    "isEnabled"?: boolean;
    /**
     * Name of the processor.
     */
    "name"?: string;
    /**
     * Ordered list of processors in this pipeline.
     */
    "processors"?: Array<LogsProcessor>;
    /**
     * Type of logs pipeline processor.
     */
    "type": LogsPipelineProcessorType;
    /**
     * A container for additional, undeclared properties.
     * This is a holder for any undeclared properties as specified with
     * the 'additionalProperties' keyword in the OAS document.
     */
    "additionalProperties"?: {
        [key: string]: any;
    };
    /**
     * @ignore
     */
    "_unparsed"?: boolean;
    /**
     * @ignore
     */
    static readonly attributeTypeMap: AttributeTypeMap;
    /**
     * @ignore
     */
    static getAttributeTypeMap(): AttributeTypeMap;
    constructor();
}