/*
 * Copyright 2010-2023 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.rekognition.model;

import java.io.Serializable;

/**
 * <p>
 * The source that Amazon Rekognition Custom Labels uses to create a dataset. To
 * use an Amazon Sagemaker format manifest file, specify the S3 bucket location
 * in the <code>GroundTruthManifest</code> field. The S3 bucket must be in your
 * AWS account. To create a copy of an existing dataset, specify the Amazon
 * Resource Name (ARN) of an existing dataset in <code>DatasetArn</code>.
 * </p>
 * <p>
 * You need to specify a value for <code>DatasetArn</code> or
 * <code>GroundTruthManifest</code>, but not both. if you supply both values, or
 * if you don't specify any values, an InvalidParameterException exception
 * occurs.
 * </p>
 * <p>
 * For more information, see <a>CreateDataset</a>.
 * </p>
 */
public class DatasetSource implements Serializable {
    /**
     * <p>
     * The S3 bucket that contains an Amazon Sagemaker Ground Truth format
     * manifest file.
     * </p>
     */
    private GroundTruthManifest groundTruthManifest;

    /**
     * <p>
     * The ARN of an Amazon Rekognition Custom Labels dataset that you want to
     * copy.
     * </p>
     * <p>
     * <b>Constraints:</b><br/>
     * <b>Length: </b>20 - 2048<br/>
     * <b>Pattern:
     * </b>(^arn:[a-z\d-]+:rekognition:[a-z\d-]+:\d{12}:project\/[a-zA
     * -Z0-9_.\-]{1,255}\/dataset\/(train|test)\/[0-9]+$)<br/>
     */
    private String datasetArn;

    /**
     * <p>
     * The S3 bucket that contains an Amazon Sagemaker Ground Truth format
     * manifest file.
     * </p>
     *
     * @return <p>
     *         The S3 bucket that contains an Amazon Sagemaker Ground Truth
     *         format manifest file.
     *         </p>
     */
    public GroundTruthManifest getGroundTruthManifest() {
        return groundTruthManifest;
    }

    /**
     * <p>
     * The S3 bucket that contains an Amazon Sagemaker Ground Truth format
     * manifest file.
     * </p>
     *
     * @param groundTruthManifest <p>
     *            The S3 bucket that contains an Amazon Sagemaker Ground Truth
     *            format manifest file.
     *            </p>
     */
    public void setGroundTruthManifest(GroundTruthManifest groundTruthManifest) {
        this.groundTruthManifest = groundTruthManifest;
    }

    /**
     * <p>
     * The S3 bucket that contains an Amazon Sagemaker Ground Truth format
     * manifest file.
     * </p>
     * <p>
     * Returns a reference to this object so that method calls can be chained
     * together.
     *
     * @param groundTruthManifest <p>
     *            The S3 bucket that contains an Amazon Sagemaker Ground Truth
     *            format manifest file.
     *            </p>
     * @return A reference to this updated object so that method calls can be
     *         chained together.
     */
    public DatasetSource withGroundTruthManifest(GroundTruthManifest groundTruthManifest) {
        this.groundTruthManifest = groundTruthManifest;
        return this;
    }

    /**
     * <p>
     * The ARN of an Amazon Rekognition Custom Labels dataset that you want to
     * copy.
     * </p>
     * <p>
     * <b>Constraints:</b><br/>
     * <b>Length: </b>20 - 2048<br/>
     * <b>Pattern:
     * </b>(^arn:[a-z\d-]+:rekognition:[a-z\d-]+:\d{12}:project\/[a-zA
     * -Z0-9_.\-]{1,255}\/dataset\/(train|test)\/[0-9]+$)<br/>
     *
     * @return <p>
     *         The ARN of an Amazon Rekognition Custom Labels dataset that you
     *         want to copy.
     *         </p>
     */
    public String getDatasetArn() {
        return datasetArn;
    }

    /**
     * <p>
     * The ARN of an Amazon Rekognition Custom Labels dataset that you want to
     * copy.
     * </p>
     * <p>
     * <b>Constraints:</b><br/>
     * <b>Length: </b>20 - 2048<br/>
     * <b>Pattern:
     * </b>(^arn:[a-z\d-]+:rekognition:[a-z\d-]+:\d{12}:project\/[a-zA
     * -Z0-9_.\-]{1,255}\/dataset\/(train|test)\/[0-9]+$)<br/>
     *
     * @param datasetArn <p>
     *            The ARN of an Amazon Rekognition Custom Labels dataset that
     *            you want to copy.
     *            </p>
     */
    public void setDatasetArn(String datasetArn) {
        this.datasetArn = datasetArn;
    }

    /**
     * <p>
     * The ARN of an Amazon Rekognition Custom Labels dataset that you want to
     * copy.
     * </p>
     * <p>
     * Returns a reference to this object so that method calls can be chained
     * together.
     * <p>
     * <b>Constraints:</b><br/>
     * <b>Length: </b>20 - 2048<br/>
     * <b>Pattern:
     * </b>(^arn:[a-z\d-]+:rekognition:[a-z\d-]+:\d{12}:project\/[a-zA
     * -Z0-9_.\-]{1,255}\/dataset\/(train|test)\/[0-9]+$)<br/>
     *
     * @param datasetArn <p>
     *            The ARN of an Amazon Rekognition Custom Labels dataset that
     *            you want to copy.
     *            </p>
     * @return A reference to this updated object so that method calls can be
     *         chained together.
     */
    public DatasetSource withDatasetArn(String datasetArn) {
        this.datasetArn = datasetArn;
        return this;
    }

    /**
     * Returns a string representation of this object; useful for testing and
     * debugging.
     *
     * @return A string representation of this object.
     * @see java.lang.Object#toString()
     */
    @Override
    public String toString() {
        StringBuilder sb = new StringBuilder();
        sb.append("{");
        if (getGroundTruthManifest() != null)
            sb.append("GroundTruthManifest: " + getGroundTruthManifest() + ",");
        if (getDatasetArn() != null)
            sb.append("DatasetArn: " + getDatasetArn());
        sb.append("}");
        return sb.toString();
    }

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

        hashCode = prime * hashCode
                + ((getGroundTruthManifest() == null) ? 0 : getGroundTruthManifest().hashCode());
        hashCode = prime * hashCode + ((getDatasetArn() == null) ? 0 : getDatasetArn().hashCode());
        return hashCode;
    }

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

        if (obj instanceof DatasetSource == false)
            return false;
        DatasetSource other = (DatasetSource) obj;

        if (other.getGroundTruthManifest() == null ^ this.getGroundTruthManifest() == null)
            return false;
        if (other.getGroundTruthManifest() != null
                && other.getGroundTruthManifest().equals(this.getGroundTruthManifest()) == false)
            return false;
        if (other.getDatasetArn() == null ^ this.getDatasetArn() == null)
            return false;
        if (other.getDatasetArn() != null
                && other.getDatasetArn().equals(this.getDatasetArn()) == false)
            return false;
        return true;
    }
}