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/*
 * Copyright 2019-2024 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.AmazonWebServiceRequest;

/**
 * 
 * @see AWS API Documentation
 */
@Generated("com.amazonaws:aws-java-sdk-code-generator")
public class CreateInferenceRecommendationsJobRequest extends com.amazonaws.AmazonWebServiceRequest implements Serializable, Cloneable {

    /**
     * 

* A name for the recommendation job. The name must be unique within the Amazon Web Services Region and within your * Amazon Web Services account. The job name is passed down to the resources created by the recommendation job. The * names of resources (such as the model, endpoint configuration, endpoint, and compilation) that are prefixed with * the job name are truncated at 40 characters. *

*/ private String jobName; /** *

* Defines the type of recommendation job. Specify Default to initiate an instance recommendation and * Advanced to initiate a load test. If left unspecified, Amazon SageMaker Inference Recommender will * run an instance recommendation (DEFAULT) job. *

*/ private String jobType; /** *

* The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf. *

*/ private String roleArn; /** *

* Provides information about the versioned model package Amazon Resource Name (ARN), the traffic pattern, and * endpoint configurations. *

*/ private RecommendationJobInputConfig inputConfig; /** *

* Description of the recommendation job. *

*/ private String jobDescription; /** *

* A set of conditions for stopping a recommendation job. If any of the conditions are met, the job is automatically * stopped. *

*/ private RecommendationJobStoppingConditions stoppingConditions; /** *

* Provides information about the output artifacts and the KMS key to use for Amazon S3 server-side encryption. *

*/ private RecommendationJobOutputConfig outputConfig; /** *

* The metadata that you apply to Amazon Web Services resources to help you categorize and organize them. Each tag * consists of a key and a value, both of which you define. For more information, see Tagging Amazon Web Services Resources * in the Amazon Web Services General Reference. *

*/ private java.util.List tags; /** *

* A name for the recommendation job. The name must be unique within the Amazon Web Services Region and within your * Amazon Web Services account. The job name is passed down to the resources created by the recommendation job. The * names of resources (such as the model, endpoint configuration, endpoint, and compilation) that are prefixed with * the job name are truncated at 40 characters. *

* * @param jobName * A name for the recommendation job. The name must be unique within the Amazon Web Services Region and * within your Amazon Web Services account. The job name is passed down to the resources created by the * recommendation job. The names of resources (such as the model, endpoint configuration, endpoint, and * compilation) that are prefixed with the job name are truncated at 40 characters. */ public void setJobName(String jobName) { this.jobName = jobName; } /** *

* A name for the recommendation job. The name must be unique within the Amazon Web Services Region and within your * Amazon Web Services account. The job name is passed down to the resources created by the recommendation job. The * names of resources (such as the model, endpoint configuration, endpoint, and compilation) that are prefixed with * the job name are truncated at 40 characters. *

* * @return A name for the recommendation job. The name must be unique within the Amazon Web Services Region and * within your Amazon Web Services account. The job name is passed down to the resources created by the * recommendation job. The names of resources (such as the model, endpoint configuration, endpoint, and * compilation) that are prefixed with the job name are truncated at 40 characters. */ public String getJobName() { return this.jobName; } /** *

* A name for the recommendation job. The name must be unique within the Amazon Web Services Region and within your * Amazon Web Services account. The job name is passed down to the resources created by the recommendation job. The * names of resources (such as the model, endpoint configuration, endpoint, and compilation) that are prefixed with * the job name are truncated at 40 characters. *

* * @param jobName * A name for the recommendation job. The name must be unique within the Amazon Web Services Region and * within your Amazon Web Services account. The job name is passed down to the resources created by the * recommendation job. The names of resources (such as the model, endpoint configuration, endpoint, and * compilation) that are prefixed with the job name are truncated at 40 characters. * @return Returns a reference to this object so that method calls can be chained together. */ public CreateInferenceRecommendationsJobRequest withJobName(String jobName) { setJobName(jobName); return this; } /** *

* Defines the type of recommendation job. Specify Default to initiate an instance recommendation and * Advanced to initiate a load test. If left unspecified, Amazon SageMaker Inference Recommender will * run an instance recommendation (DEFAULT) job. *

* * @param jobType * Defines the type of recommendation job. Specify Default to initiate an instance * recommendation and Advanced to initiate a load test. If left unspecified, Amazon SageMaker * Inference Recommender will run an instance recommendation (DEFAULT) job. * @see RecommendationJobType */ public void setJobType(String jobType) { this.jobType = jobType; } /** *

* Defines the type of recommendation job. Specify Default to initiate an instance recommendation and * Advanced to initiate a load test. If left unspecified, Amazon SageMaker Inference Recommender will * run an instance recommendation (DEFAULT) job. *

* * @return Defines the type of recommendation job. Specify Default to initiate an instance * recommendation and Advanced to initiate a load test. If left unspecified, Amazon SageMaker * Inference Recommender will run an instance recommendation (DEFAULT) job. * @see RecommendationJobType */ public String getJobType() { return this.jobType; } /** *

* Defines the type of recommendation job. Specify Default to initiate an instance recommendation and * Advanced to initiate a load test. If left unspecified, Amazon SageMaker Inference Recommender will * run an instance recommendation (DEFAULT) job. *

* * @param jobType * Defines the type of recommendation job. Specify Default to initiate an instance * recommendation and Advanced to initiate a load test. If left unspecified, Amazon SageMaker * Inference Recommender will run an instance recommendation (DEFAULT) job. * @return Returns a reference to this object so that method calls can be chained together. * @see RecommendationJobType */ public CreateInferenceRecommendationsJobRequest withJobType(String jobType) { setJobType(jobType); return this; } /** *

* Defines the type of recommendation job. Specify Default to initiate an instance recommendation and * Advanced to initiate a load test. If left unspecified, Amazon SageMaker Inference Recommender will * run an instance recommendation (DEFAULT) job. *

* * @param jobType * Defines the type of recommendation job. Specify Default to initiate an instance * recommendation and Advanced to initiate a load test. If left unspecified, Amazon SageMaker * Inference Recommender will run an instance recommendation (DEFAULT) job. * @return Returns a reference to this object so that method calls can be chained together. * @see RecommendationJobType */ public CreateInferenceRecommendationsJobRequest withJobType(RecommendationJobType jobType) { this.jobType = jobType.toString(); return this; } /** *

* The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf. *

* * @param roleArn * The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your * behalf. */ public void setRoleArn(String roleArn) { this.roleArn = roleArn; } /** *

* The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf. *

* * @return The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your * behalf. */ public String getRoleArn() { return this.roleArn; } /** *

* The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf. *

* * @param roleArn * The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your * behalf. * @return Returns a reference to this object so that method calls can be chained together. */ public CreateInferenceRecommendationsJobRequest withRoleArn(String roleArn) { setRoleArn(roleArn); return this; } /** *

* Provides information about the versioned model package Amazon Resource Name (ARN), the traffic pattern, and * endpoint configurations. *

* * @param inputConfig * Provides information about the versioned model package Amazon Resource Name (ARN), the traffic pattern, * and endpoint configurations. */ public void setInputConfig(RecommendationJobInputConfig inputConfig) { this.inputConfig = inputConfig; } /** *

* Provides information about the versioned model package Amazon Resource Name (ARN), the traffic pattern, and * endpoint configurations. *

* * @return Provides information about the versioned model package Amazon Resource Name (ARN), the traffic pattern, * and endpoint configurations. */ public RecommendationJobInputConfig getInputConfig() { return this.inputConfig; } /** *

* Provides information about the versioned model package Amazon Resource Name (ARN), the traffic pattern, and * endpoint configurations. *

* * @param inputConfig * Provides information about the versioned model package Amazon Resource Name (ARN), the traffic pattern, * and endpoint configurations. * @return Returns a reference to this object so that method calls can be chained together. */ public CreateInferenceRecommendationsJobRequest withInputConfig(RecommendationJobInputConfig inputConfig) { setInputConfig(inputConfig); return this; } /** *

* Description of the recommendation job. *

* * @param jobDescription * Description of the recommendation job. */ public void setJobDescription(String jobDescription) { this.jobDescription = jobDescription; } /** *

* Description of the recommendation job. *

* * @return Description of the recommendation job. */ public String getJobDescription() { return this.jobDescription; } /** *

* Description of the recommendation job. *

* * @param jobDescription * Description of the recommendation job. * @return Returns a reference to this object so that method calls can be chained together. */ public CreateInferenceRecommendationsJobRequest withJobDescription(String jobDescription) { setJobDescription(jobDescription); return this; } /** *

* A set of conditions for stopping a recommendation job. If any of the conditions are met, the job is automatically * stopped. *

* * @param stoppingConditions * A set of conditions for stopping a recommendation job. If any of the conditions are met, the job is * automatically stopped. */ public void setStoppingConditions(RecommendationJobStoppingConditions stoppingConditions) { this.stoppingConditions = stoppingConditions; } /** *

* A set of conditions for stopping a recommendation job. If any of the conditions are met, the job is automatically * stopped. *

* * @return A set of conditions for stopping a recommendation job. If any of the conditions are met, the job is * automatically stopped. */ public RecommendationJobStoppingConditions getStoppingConditions() { return this.stoppingConditions; } /** *

* A set of conditions for stopping a recommendation job. If any of the conditions are met, the job is automatically * stopped. *

* * @param stoppingConditions * A set of conditions for stopping a recommendation job. If any of the conditions are met, the job is * automatically stopped. * @return Returns a reference to this object so that method calls can be chained together. */ public CreateInferenceRecommendationsJobRequest withStoppingConditions(RecommendationJobStoppingConditions stoppingConditions) { setStoppingConditions(stoppingConditions); return this; } /** *

* Provides information about the output artifacts and the KMS key to use for Amazon S3 server-side encryption. *

* * @param outputConfig * Provides information about the output artifacts and the KMS key to use for Amazon S3 server-side * encryption. */ public void setOutputConfig(RecommendationJobOutputConfig outputConfig) { this.outputConfig = outputConfig; } /** *

* Provides information about the output artifacts and the KMS key to use for Amazon S3 server-side encryption. *

* * @return Provides information about the output artifacts and the KMS key to use for Amazon S3 server-side * encryption. */ public RecommendationJobOutputConfig getOutputConfig() { return this.outputConfig; } /** *

* Provides information about the output artifacts and the KMS key to use for Amazon S3 server-side encryption. *

* * @param outputConfig * Provides information about the output artifacts and the KMS key to use for Amazon S3 server-side * encryption. * @return Returns a reference to this object so that method calls can be chained together. */ public CreateInferenceRecommendationsJobRequest withOutputConfig(RecommendationJobOutputConfig outputConfig) { setOutputConfig(outputConfig); return this; } /** *

* The metadata that you apply to Amazon Web Services resources to help you categorize and organize them. Each tag * consists of a key and a value, both of which you define. For more information, see Tagging Amazon Web Services Resources * in the Amazon Web Services General Reference. *

* * @return The metadata that you apply to Amazon Web Services resources to help you categorize and organize them. * Each tag consists of a key and a value, both of which you define. For more information, see Tagging Amazon Web Services * Resources in the Amazon Web Services General Reference. */ public java.util.List getTags() { return tags; } /** *

* The metadata that you apply to Amazon Web Services resources to help you categorize and organize them. Each tag * consists of a key and a value, both of which you define. For more information, see Tagging Amazon Web Services Resources * in the Amazon Web Services General Reference. *

* * @param tags * The metadata that you apply to Amazon Web Services resources to help you categorize and organize them. * Each tag consists of a key and a value, both of which you define. For more information, see Tagging Amazon Web Services * Resources in the Amazon Web Services General Reference. */ public void setTags(java.util.Collection tags) { if (tags == null) { this.tags = null; return; } this.tags = new java.util.ArrayList(tags); } /** *

* The metadata that you apply to Amazon Web Services resources to help you categorize and organize them. Each tag * consists of a key and a value, both of which you define. For more information, see Tagging Amazon Web Services Resources * in the Amazon Web Services General Reference. *

*

* NOTE: This method appends the values to the existing list (if any). Use * {@link #setTags(java.util.Collection)} or {@link #withTags(java.util.Collection)} if you want to override the * existing values. *

* * @param tags * The metadata that you apply to Amazon Web Services resources to help you categorize and organize them. * Each tag consists of a key and a value, both of which you define. For more information, see Tagging Amazon Web Services * Resources in the Amazon Web Services General Reference. * @return Returns a reference to this object so that method calls can be chained together. */ public CreateInferenceRecommendationsJobRequest withTags(Tag... tags) { if (this.tags == null) { setTags(new java.util.ArrayList(tags.length)); } for (Tag ele : tags) { this.tags.add(ele); } return this; } /** *

* The metadata that you apply to Amazon Web Services resources to help you categorize and organize them. Each tag * consists of a key and a value, both of which you define. For more information, see Tagging Amazon Web Services Resources * in the Amazon Web Services General Reference. *

* * @param tags * The metadata that you apply to Amazon Web Services resources to help you categorize and organize them. * Each tag consists of a key and a value, both of which you define. For more information, see Tagging Amazon Web Services * Resources in the Amazon Web Services General Reference. * @return Returns a reference to this object so that method calls can be chained together. */ public CreateInferenceRecommendationsJobRequest withTags(java.util.Collection tags) { setTags(tags); 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 (getJobName() != null) sb.append("JobName: ").append(getJobName()).append(","); if (getJobType() != null) sb.append("JobType: ").append(getJobType()).append(","); if (getRoleArn() != null) sb.append("RoleArn: ").append(getRoleArn()).append(","); if (getInputConfig() != null) sb.append("InputConfig: ").append(getInputConfig()).append(","); if (getJobDescription() != null) sb.append("JobDescription: ").append(getJobDescription()).append(","); if (getStoppingConditions() != null) sb.append("StoppingConditions: ").append(getStoppingConditions()).append(","); if (getOutputConfig() != null) sb.append("OutputConfig: ").append(getOutputConfig()).append(","); if (getTags() != null) sb.append("Tags: ").append(getTags()); sb.append("}"); return sb.toString(); } @Override public boolean equals(Object obj) { if (this == obj) return true; if (obj == null) return false; if (obj instanceof CreateInferenceRecommendationsJobRequest == false) return false; CreateInferenceRecommendationsJobRequest other = (CreateInferenceRecommendationsJobRequest) obj; if (other.getJobName() == null ^ this.getJobName() == null) return false; if (other.getJobName() != null && other.getJobName().equals(this.getJobName()) == false) return false; if (other.getJobType() == null ^ this.getJobType() == null) return false; if (other.getJobType() != null && other.getJobType().equals(this.getJobType()) == false) return false; if (other.getRoleArn() == null ^ this.getRoleArn() == null) return false; if (other.getRoleArn() != null && other.getRoleArn().equals(this.getRoleArn()) == false) return false; if (other.getInputConfig() == null ^ this.getInputConfig() == null) return false; if (other.getInputConfig() != null && other.getInputConfig().equals(this.getInputConfig()) == false) return false; if (other.getJobDescription() == null ^ this.getJobDescription() == null) return false; if (other.getJobDescription() != null && other.getJobDescription().equals(this.getJobDescription()) == false) return false; if (other.getStoppingConditions() == null ^ this.getStoppingConditions() == null) return false; if (other.getStoppingConditions() != null && other.getStoppingConditions().equals(this.getStoppingConditions()) == false) return false; if (other.getOutputConfig() == null ^ this.getOutputConfig() == null) return false; if (other.getOutputConfig() != null && other.getOutputConfig().equals(this.getOutputConfig()) == false) return false; if (other.getTags() == null ^ this.getTags() == null) return false; if (other.getTags() != null && other.getTags().equals(this.getTags()) == false) return false; return true; } @Override public int hashCode() { final int prime = 31; int hashCode = 1; hashCode = prime * hashCode + ((getJobName() == null) ? 0 : getJobName().hashCode()); hashCode = prime * hashCode + ((getJobType() == null) ? 0 : getJobType().hashCode()); hashCode = prime * hashCode + ((getRoleArn() == null) ? 0 : getRoleArn().hashCode()); hashCode = prime * hashCode + ((getInputConfig() == null) ? 0 : getInputConfig().hashCode()); hashCode = prime * hashCode + ((getJobDescription() == null) ? 0 : getJobDescription().hashCode()); hashCode = prime * hashCode + ((getStoppingConditions() == null) ? 0 : getStoppingConditions().hashCode()); hashCode = prime * hashCode + ((getOutputConfig() == null) ? 0 : getOutputConfig().hashCode()); hashCode = prime * hashCode + ((getTags() == null) ? 0 : getTags().hashCode()); return hashCode; } @Override public CreateInferenceRecommendationsJobRequest clone() { return (CreateInferenceRecommendationsJobRequest) super.clone(); } }




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