/*
 * Copyright 2018-2023 Amazon.com, Inc. or its affiliates. All Rights Reserved.
 * 
 * Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with
 * the License. A copy of the License is located at
 * 
 * http://aws.amazon.com/apache2.0
 * 
 * or in the "license" file accompanying this file. This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
 * CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions
 * and limitations under the License.
 */
package com.amazonaws.services.sagemaker.model;

import java.io.Serializable;
import javax.annotation.Generated;
import com.amazonaws.protocol.StructuredPojo;
import com.amazonaws.protocol.ProtocolMarshaller;

/**
 * <p>
 * Describes the Amazon S3 data source.
 * </p>
 * 
 * @see <a href="http://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/AutoMLS3DataSource" target="_top">AWS API
 *      Documentation</a>
 */
@Generated("com.amazonaws:aws-java-sdk-code-generator")
public class AutoMLS3DataSource implements Serializable, Cloneable, StructuredPojo {

    /**
     * <p>
     * The data type.
     * </p>
     * <ul>
     * <li>
     * <p>
     * If you choose <code>S3Prefix</code>, <code>S3Uri</code> identifies a key name prefix. SageMaker uses all objects
     * that match the specified key name prefix for model training.
     * </p>
     * <p>
     * The <code>S3Prefix</code> should have the following format:
     * </p>
     * <p>
     * <code>s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER-OR-FILE</code>
     * </p>
     * </li>
     * <li>
     * <p>
     * If you choose <code>ManifestFile</code>, <code>S3Uri</code> identifies an object that is a manifest file
     * containing a list of object keys that you want SageMaker to use for model training.
     * </p>
     * <p>
     * A <code>ManifestFile</code> should have the format shown below:
     * </p>
     * <p>
     * <code>[ {"prefix": "s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER/DOC-EXAMPLE-PREFIX/"}, </code>
     * </p>
     * <p>
     * <code>"DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-1",</code>
     * </p>
     * <p>
     * <code>"DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-2",</code>
     * </p>
     * <p>
     * <code>... "DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-N" ]</code>
     * </p>
     * </li>
     * <li>
     * <p>
     * If you choose <code>AugmentedManifestFile</code>, <code>S3Uri</code> identifies an object that is an augmented
     * manifest file in JSON lines format. This file contains the data you want to use for model training.
     * <code>AugmentedManifestFile</code> is available for V2 API jobs only (for example, for jobs created by calling
     * <code>CreateAutoMLJobV2</code>).
     * </p>
     * <p>
     * Here is a minimal, single-record example of an <code>AugmentedManifestFile</code>:
     * </p>
     * <p>
     * <code>{"source-ref": "s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER/cats/cat.jpg",</code>
     * </p>
     * <p>
     * <code>"label-metadata": {"class-name": "cat"</code>
     * </p>
     * <p>
     * For more information on <code>AugmentedManifestFile</code>, see <a
     * href="https://docs.aws.amazon.com/sagemaker/latest/dg/augmented-manifest.html">Provide Dataset Metadata to
     * Training Jobs with an Augmented Manifest File</a>.
     * </p>
     * </li>
     * </ul>
     */
    private String s3DataType;
    /**
     * <p>
     * The URL to the Amazon S3 data source. The Uri refers to the Amazon S3 prefix or ManifestFile depending on the
     * data type.
     * </p>
     */
    private String s3Uri;

    /**
     * <p>
     * The data type.
     * </p>
     * <ul>
     * <li>
     * <p>
     * If you choose <code>S3Prefix</code>, <code>S3Uri</code> identifies a key name prefix. SageMaker uses all objects
     * that match the specified key name prefix for model training.
     * </p>
     * <p>
     * The <code>S3Prefix</code> should have the following format:
     * </p>
     * <p>
     * <code>s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER-OR-FILE</code>
     * </p>
     * </li>
     * <li>
     * <p>
     * If you choose <code>ManifestFile</code>, <code>S3Uri</code> identifies an object that is a manifest file
     * containing a list of object keys that you want SageMaker to use for model training.
     * </p>
     * <p>
     * A <code>ManifestFile</code> should have the format shown below:
     * </p>
     * <p>
     * <code>[ {"prefix": "s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER/DOC-EXAMPLE-PREFIX/"}, </code>
     * </p>
     * <p>
     * <code>"DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-1",</code>
     * </p>
     * <p>
     * <code>"DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-2",</code>
     * </p>
     * <p>
     * <code>... "DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-N" ]</code>
     * </p>
     * </li>
     * <li>
     * <p>
     * If you choose <code>AugmentedManifestFile</code>, <code>S3Uri</code> identifies an object that is an augmented
     * manifest file in JSON lines format. This file contains the data you want to use for model training.
     * <code>AugmentedManifestFile</code> is available for V2 API jobs only (for example, for jobs created by calling
     * <code>CreateAutoMLJobV2</code>).
     * </p>
     * <p>
     * Here is a minimal, single-record example of an <code>AugmentedManifestFile</code>:
     * </p>
     * <p>
     * <code>{"source-ref": "s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER/cats/cat.jpg",</code>
     * </p>
     * <p>
     * <code>"label-metadata": {"class-name": "cat"</code>
     * </p>
     * <p>
     * For more information on <code>AugmentedManifestFile</code>, see <a
     * href="https://docs.aws.amazon.com/sagemaker/latest/dg/augmented-manifest.html">Provide Dataset Metadata to
     * Training Jobs with an Augmented Manifest File</a>.
     * </p>
     * </li>
     * </ul>
     * 
     * @param s3DataType
     *        The data type. </p>
     *        <ul>
     *        <li>
     *        <p>
     *        If you choose <code>S3Prefix</code>, <code>S3Uri</code> identifies a key name prefix. SageMaker uses all
     *        objects that match the specified key name prefix for model training.
     *        </p>
     *        <p>
     *        The <code>S3Prefix</code> should have the following format:
     *        </p>
     *        <p>
     *        <code>s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER-OR-FILE</code>
     *        </p>
     *        </li>
     *        <li>
     *        <p>
     *        If you choose <code>ManifestFile</code>, <code>S3Uri</code> identifies an object that is a manifest file
     *        containing a list of object keys that you want SageMaker to use for model training.
     *        </p>
     *        <p>
     *        A <code>ManifestFile</code> should have the format shown below:
     *        </p>
     *        <p>
     *        <code>[ {"prefix": "s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER/DOC-EXAMPLE-PREFIX/"}, </code>
     *        </p>
     *        <p>
     *        <code>"DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-1",</code>
     *        </p>
     *        <p>
     *        <code>"DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-2",</code>
     *        </p>
     *        <p>
     *        <code>... "DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-N" ]</code>
     *        </p>
     *        </li>
     *        <li>
     *        <p>
     *        If you choose <code>AugmentedManifestFile</code>, <code>S3Uri</code> identifies an object that is an
     *        augmented manifest file in JSON lines format. This file contains the data you want to use for model
     *        training. <code>AugmentedManifestFile</code> is available for V2 API jobs only (for example, for jobs
     *        created by calling <code>CreateAutoMLJobV2</code>).
     *        </p>
     *        <p>
     *        Here is a minimal, single-record example of an <code>AugmentedManifestFile</code>:
     *        </p>
     *        <p>
     *        <code>{"source-ref": "s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER/cats/cat.jpg",</code>
     *        </p>
     *        <p>
     *        <code>"label-metadata": {"class-name": "cat"</code>
     *        </p>
     *        <p>
     *        For more information on <code>AugmentedManifestFile</code>, see <a
     *        href="https://docs.aws.amazon.com/sagemaker/latest/dg/augmented-manifest.html">Provide Dataset Metadata to
     *        Training Jobs with an Augmented Manifest File</a>.
     *        </p>
     *        </li>
     * @see AutoMLS3DataType
     */

    public void setS3DataType(String s3DataType) {
        this.s3DataType = s3DataType;
    }

    /**
     * <p>
     * The data type.
     * </p>
     * <ul>
     * <li>
     * <p>
     * If you choose <code>S3Prefix</code>, <code>S3Uri</code> identifies a key name prefix. SageMaker uses all objects
     * that match the specified key name prefix for model training.
     * </p>
     * <p>
     * The <code>S3Prefix</code> should have the following format:
     * </p>
     * <p>
     * <code>s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER-OR-FILE</code>
     * </p>
     * </li>
     * <li>
     * <p>
     * If you choose <code>ManifestFile</code>, <code>S3Uri</code> identifies an object that is a manifest file
     * containing a list of object keys that you want SageMaker to use for model training.
     * </p>
     * <p>
     * A <code>ManifestFile</code> should have the format shown below:
     * </p>
     * <p>
     * <code>[ {"prefix": "s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER/DOC-EXAMPLE-PREFIX/"}, </code>
     * </p>
     * <p>
     * <code>"DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-1",</code>
     * </p>
     * <p>
     * <code>"DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-2",</code>
     * </p>
     * <p>
     * <code>... "DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-N" ]</code>
     * </p>
     * </li>
     * <li>
     * <p>
     * If you choose <code>AugmentedManifestFile</code>, <code>S3Uri</code> identifies an object that is an augmented
     * manifest file in JSON lines format. This file contains the data you want to use for model training.
     * <code>AugmentedManifestFile</code> is available for V2 API jobs only (for example, for jobs created by calling
     * <code>CreateAutoMLJobV2</code>).
     * </p>
     * <p>
     * Here is a minimal, single-record example of an <code>AugmentedManifestFile</code>:
     * </p>
     * <p>
     * <code>{"source-ref": "s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER/cats/cat.jpg",</code>
     * </p>
     * <p>
     * <code>"label-metadata": {"class-name": "cat"</code>
     * </p>
     * <p>
     * For more information on <code>AugmentedManifestFile</code>, see <a
     * href="https://docs.aws.amazon.com/sagemaker/latest/dg/augmented-manifest.html">Provide Dataset Metadata to
     * Training Jobs with an Augmented Manifest File</a>.
     * </p>
     * </li>
     * </ul>
     * 
     * @return The data type. </p>
     *         <ul>
     *         <li>
     *         <p>
     *         If you choose <code>S3Prefix</code>, <code>S3Uri</code> identifies a key name prefix. SageMaker uses all
     *         objects that match the specified key name prefix for model training.
     *         </p>
     *         <p>
     *         The <code>S3Prefix</code> should have the following format:
     *         </p>
     *         <p>
     *         <code>s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER-OR-FILE</code>
     *         </p>
     *         </li>
     *         <li>
     *         <p>
     *         If you choose <code>ManifestFile</code>, <code>S3Uri</code> identifies an object that is a manifest file
     *         containing a list of object keys that you want SageMaker to use for model training.
     *         </p>
     *         <p>
     *         A <code>ManifestFile</code> should have the format shown below:
     *         </p>
     *         <p>
     *         <code>[ {"prefix": "s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER/DOC-EXAMPLE-PREFIX/"}, </code>
     *         </p>
     *         <p>
     *         <code>"DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-1",</code>
     *         </p>
     *         <p>
     *         <code>"DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-2",</code>
     *         </p>
     *         <p>
     *         <code>... "DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-N" ]</code>
     *         </p>
     *         </li>
     *         <li>
     *         <p>
     *         If you choose <code>AugmentedManifestFile</code>, <code>S3Uri</code> identifies an object that is an
     *         augmented manifest file in JSON lines format. This file contains the data you want to use for model
     *         training. <code>AugmentedManifestFile</code> is available for V2 API jobs only (for example, for jobs
     *         created by calling <code>CreateAutoMLJobV2</code>).
     *         </p>
     *         <p>
     *         Here is a minimal, single-record example of an <code>AugmentedManifestFile</code>:
     *         </p>
     *         <p>
     *         <code>{"source-ref": "s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER/cats/cat.jpg",</code>
     *         </p>
     *         <p>
     *         <code>"label-metadata": {"class-name": "cat"</code>
     *         </p>
     *         <p>
     *         For more information on <code>AugmentedManifestFile</code>, see <a
     *         href="https://docs.aws.amazon.com/sagemaker/latest/dg/augmented-manifest.html">Provide Dataset Metadata
     *         to Training Jobs with an Augmented Manifest File</a>.
     *         </p>
     *         </li>
     * @see AutoMLS3DataType
     */

    public String getS3DataType() {
        return this.s3DataType;
    }

    /**
     * <p>
     * The data type.
     * </p>
     * <ul>
     * <li>
     * <p>
     * If you choose <code>S3Prefix</code>, <code>S3Uri</code> identifies a key name prefix. SageMaker uses all objects
     * that match the specified key name prefix for model training.
     * </p>
     * <p>
     * The <code>S3Prefix</code> should have the following format:
     * </p>
     * <p>
     * <code>s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER-OR-FILE</code>
     * </p>
     * </li>
     * <li>
     * <p>
     * If you choose <code>ManifestFile</code>, <code>S3Uri</code> identifies an object that is a manifest file
     * containing a list of object keys that you want SageMaker to use for model training.
     * </p>
     * <p>
     * A <code>ManifestFile</code> should have the format shown below:
     * </p>
     * <p>
     * <code>[ {"prefix": "s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER/DOC-EXAMPLE-PREFIX/"}, </code>
     * </p>
     * <p>
     * <code>"DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-1",</code>
     * </p>
     * <p>
     * <code>"DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-2",</code>
     * </p>
     * <p>
     * <code>... "DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-N" ]</code>
     * </p>
     * </li>
     * <li>
     * <p>
     * If you choose <code>AugmentedManifestFile</code>, <code>S3Uri</code> identifies an object that is an augmented
     * manifest file in JSON lines format. This file contains the data you want to use for model training.
     * <code>AugmentedManifestFile</code> is available for V2 API jobs only (for example, for jobs created by calling
     * <code>CreateAutoMLJobV2</code>).
     * </p>
     * <p>
     * Here is a minimal, single-record example of an <code>AugmentedManifestFile</code>:
     * </p>
     * <p>
     * <code>{"source-ref": "s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER/cats/cat.jpg",</code>
     * </p>
     * <p>
     * <code>"label-metadata": {"class-name": "cat"</code>
     * </p>
     * <p>
     * For more information on <code>AugmentedManifestFile</code>, see <a
     * href="https://docs.aws.amazon.com/sagemaker/latest/dg/augmented-manifest.html">Provide Dataset Metadata to
     * Training Jobs with an Augmented Manifest File</a>.
     * </p>
     * </li>
     * </ul>
     * 
     * @param s3DataType
     *        The data type. </p>
     *        <ul>
     *        <li>
     *        <p>
     *        If you choose <code>S3Prefix</code>, <code>S3Uri</code> identifies a key name prefix. SageMaker uses all
     *        objects that match the specified key name prefix for model training.
     *        </p>
     *        <p>
     *        The <code>S3Prefix</code> should have the following format:
     *        </p>
     *        <p>
     *        <code>s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER-OR-FILE</code>
     *        </p>
     *        </li>
     *        <li>
     *        <p>
     *        If you choose <code>ManifestFile</code>, <code>S3Uri</code> identifies an object that is a manifest file
     *        containing a list of object keys that you want SageMaker to use for model training.
     *        </p>
     *        <p>
     *        A <code>ManifestFile</code> should have the format shown below:
     *        </p>
     *        <p>
     *        <code>[ {"prefix": "s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER/DOC-EXAMPLE-PREFIX/"}, </code>
     *        </p>
     *        <p>
     *        <code>"DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-1",</code>
     *        </p>
     *        <p>
     *        <code>"DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-2",</code>
     *        </p>
     *        <p>
     *        <code>... "DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-N" ]</code>
     *        </p>
     *        </li>
     *        <li>
     *        <p>
     *        If you choose <code>AugmentedManifestFile</code>, <code>S3Uri</code> identifies an object that is an
     *        augmented manifest file in JSON lines format. This file contains the data you want to use for model
     *        training. <code>AugmentedManifestFile</code> is available for V2 API jobs only (for example, for jobs
     *        created by calling <code>CreateAutoMLJobV2</code>).
     *        </p>
     *        <p>
     *        Here is a minimal, single-record example of an <code>AugmentedManifestFile</code>:
     *        </p>
     *        <p>
     *        <code>{"source-ref": "s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER/cats/cat.jpg",</code>
     *        </p>
     *        <p>
     *        <code>"label-metadata": {"class-name": "cat"</code>
     *        </p>
     *        <p>
     *        For more information on <code>AugmentedManifestFile</code>, see <a
     *        href="https://docs.aws.amazon.com/sagemaker/latest/dg/augmented-manifest.html">Provide Dataset Metadata to
     *        Training Jobs with an Augmented Manifest File</a>.
     *        </p>
     *        </li>
     * @return Returns a reference to this object so that method calls can be chained together.
     * @see AutoMLS3DataType
     */

    public AutoMLS3DataSource withS3DataType(String s3DataType) {
        setS3DataType(s3DataType);
        return this;
    }

    /**
     * <p>
     * The data type.
     * </p>
     * <ul>
     * <li>
     * <p>
     * If you choose <code>S3Prefix</code>, <code>S3Uri</code> identifies a key name prefix. SageMaker uses all objects
     * that match the specified key name prefix for model training.
     * </p>
     * <p>
     * The <code>S3Prefix</code> should have the following format:
     * </p>
     * <p>
     * <code>s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER-OR-FILE</code>
     * </p>
     * </li>
     * <li>
     * <p>
     * If you choose <code>ManifestFile</code>, <code>S3Uri</code> identifies an object that is a manifest file
     * containing a list of object keys that you want SageMaker to use for model training.
     * </p>
     * <p>
     * A <code>ManifestFile</code> should have the format shown below:
     * </p>
     * <p>
     * <code>[ {"prefix": "s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER/DOC-EXAMPLE-PREFIX/"}, </code>
     * </p>
     * <p>
     * <code>"DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-1",</code>
     * </p>
     * <p>
     * <code>"DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-2",</code>
     * </p>
     * <p>
     * <code>... "DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-N" ]</code>
     * </p>
     * </li>
     * <li>
     * <p>
     * If you choose <code>AugmentedManifestFile</code>, <code>S3Uri</code> identifies an object that is an augmented
     * manifest file in JSON lines format. This file contains the data you want to use for model training.
     * <code>AugmentedManifestFile</code> is available for V2 API jobs only (for example, for jobs created by calling
     * <code>CreateAutoMLJobV2</code>).
     * </p>
     * <p>
     * Here is a minimal, single-record example of an <code>AugmentedManifestFile</code>:
     * </p>
     * <p>
     * <code>{"source-ref": "s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER/cats/cat.jpg",</code>
     * </p>
     * <p>
     * <code>"label-metadata": {"class-name": "cat"</code>
     * </p>
     * <p>
     * For more information on <code>AugmentedManifestFile</code>, see <a
     * href="https://docs.aws.amazon.com/sagemaker/latest/dg/augmented-manifest.html">Provide Dataset Metadata to
     * Training Jobs with an Augmented Manifest File</a>.
     * </p>
     * </li>
     * </ul>
     * 
     * @param s3DataType
     *        The data type. </p>
     *        <ul>
     *        <li>
     *        <p>
     *        If you choose <code>S3Prefix</code>, <code>S3Uri</code> identifies a key name prefix. SageMaker uses all
     *        objects that match the specified key name prefix for model training.
     *        </p>
     *        <p>
     *        The <code>S3Prefix</code> should have the following format:
     *        </p>
     *        <p>
     *        <code>s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER-OR-FILE</code>
     *        </p>
     *        </li>
     *        <li>
     *        <p>
     *        If you choose <code>ManifestFile</code>, <code>S3Uri</code> identifies an object that is a manifest file
     *        containing a list of object keys that you want SageMaker to use for model training.
     *        </p>
     *        <p>
     *        A <code>ManifestFile</code> should have the format shown below:
     *        </p>
     *        <p>
     *        <code>[ {"prefix": "s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER/DOC-EXAMPLE-PREFIX/"}, </code>
     *        </p>
     *        <p>
     *        <code>"DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-1",</code>
     *        </p>
     *        <p>
     *        <code>"DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-2",</code>
     *        </p>
     *        <p>
     *        <code>... "DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-N" ]</code>
     *        </p>
     *        </li>
     *        <li>
     *        <p>
     *        If you choose <code>AugmentedManifestFile</code>, <code>S3Uri</code> identifies an object that is an
     *        augmented manifest file in JSON lines format. This file contains the data you want to use for model
     *        training. <code>AugmentedManifestFile</code> is available for V2 API jobs only (for example, for jobs
     *        created by calling <code>CreateAutoMLJobV2</code>).
     *        </p>
     *        <p>
     *        Here is a minimal, single-record example of an <code>AugmentedManifestFile</code>:
     *        </p>
     *        <p>
     *        <code>{"source-ref": "s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER/cats/cat.jpg",</code>
     *        </p>
     *        <p>
     *        <code>"label-metadata": {"class-name": "cat"</code>
     *        </p>
     *        <p>
     *        For more information on <code>AugmentedManifestFile</code>, see <a
     *        href="https://docs.aws.amazon.com/sagemaker/latest/dg/augmented-manifest.html">Provide Dataset Metadata to
     *        Training Jobs with an Augmented Manifest File</a>.
     *        </p>
     *        </li>
     * @return Returns a reference to this object so that method calls can be chained together.
     * @see AutoMLS3DataType
     */

    public AutoMLS3DataSource withS3DataType(AutoMLS3DataType s3DataType) {
        this.s3DataType = s3DataType.toString();
        return this;
    }

    /**
     * <p>
     * The URL to the Amazon S3 data source. The Uri refers to the Amazon S3 prefix or ManifestFile depending on the
     * data type.
     * </p>
     * 
     * @param s3Uri
     *        The URL to the Amazon S3 data source. The Uri refers to the Amazon S3 prefix or ManifestFile depending on
     *        the data type.
     */

    public void setS3Uri(String s3Uri) {
        this.s3Uri = s3Uri;
    }

    /**
     * <p>
     * The URL to the Amazon S3 data source. The Uri refers to the Amazon S3 prefix or ManifestFile depending on the
     * data type.
     * </p>
     * 
     * @return The URL to the Amazon S3 data source. The Uri refers to the Amazon S3 prefix or ManifestFile depending on
     *         the data type.
     */

    public String getS3Uri() {
        return this.s3Uri;
    }

    /**
     * <p>
     * The URL to the Amazon S3 data source. The Uri refers to the Amazon S3 prefix or ManifestFile depending on the
     * data type.
     * </p>
     * 
     * @param s3Uri
     *        The URL to the Amazon S3 data source. The Uri refers to the Amazon S3 prefix or ManifestFile depending on
     *        the data type.
     * @return Returns a reference to this object so that method calls can be chained together.
     */

    public AutoMLS3DataSource withS3Uri(String s3Uri) {
        setS3Uri(s3Uri);
        return this;
    }

    /**
     * Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be
     * redacted from this string using a placeholder value.
     *
     * @return A string representation of this object.
     *
     * @see java.lang.Object#toString()
     */
    @Override
    public String toString() {
        StringBuilder sb = new StringBuilder();
        sb.append("{");
        if (getS3DataType() != null)
            sb.append("S3DataType: ").append(getS3DataType()).append(",");
        if (getS3Uri() != null)
            sb.append("S3Uri: ").append(getS3Uri());
        sb.append("}");
        return sb.toString();
    }

    @Override
    public boolean equals(Object obj) {
        if (this == obj)
            return true;
        if (obj == null)
            return false;

        if (obj instanceof AutoMLS3DataSource == false)
            return false;
        AutoMLS3DataSource other = (AutoMLS3DataSource) obj;
        if (other.getS3DataType() == null ^ this.getS3DataType() == null)
            return false;
        if (other.getS3DataType() != null && other.getS3DataType().equals(this.getS3DataType()) == false)
            return false;
        if (other.getS3Uri() == null ^ this.getS3Uri() == null)
            return false;
        if (other.getS3Uri() != null && other.getS3Uri().equals(this.getS3Uri()) == false)
            return false;
        return true;
    }

    @Override
    public int hashCode() {
        final int prime = 31;
        int hashCode = 1;

        hashCode = prime * hashCode + ((getS3DataType() == null) ? 0 : getS3DataType().hashCode());
        hashCode = prime * hashCode + ((getS3Uri() == null) ? 0 : getS3Uri().hashCode());
        return hashCode;
    }

    @Override
    public AutoMLS3DataSource clone() {
        try {
            return (AutoMLS3DataSource) super.clone();
        } catch (CloneNotSupportedException e) {
            throw new IllegalStateException("Got a CloneNotSupportedException from Object.clone() " + "even though we're Cloneable!", e);
        }
    }

    @com.amazonaws.annotation.SdkInternalApi
    @Override
    public void marshall(ProtocolMarshaller protocolMarshaller) {
        com.amazonaws.services.sagemaker.model.transform.AutoMLS3DataSourceMarshaller.getInstance().marshall(this, protocolMarshaller);
    }
}