/*
* 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>
* The recommended configuration to use for Real-Time Inference.
* </p>
*
* @see <a href="http://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/RealTimeInferenceRecommendation"
* target="_top">AWS API Documentation</a>
*/
@Generated("com.amazonaws:aws-java-sdk-code-generator")
public class RealTimeInferenceRecommendation implements Serializable, Cloneable, StructuredPojo {
/**
* <p>
* The recommendation ID which uniquely identifies each recommendation.
* </p>
*/
private String recommendationId;
/**
* <p>
* The recommended instance type for Real-Time Inference.
* </p>
*/
private String instanceType;
/**
* <p>
* The recommended environment variables to set in the model container for Real-Time Inference.
* </p>
*/
private java.util.Map<String, String> environment;
/**
* <p>
* The recommendation ID which uniquely identifies each recommendation.
* </p>
*
* @param recommendationId
* The recommendation ID which uniquely identifies each recommendation.
*/
public void setRecommendationId(String recommendationId) {
this.recommendationId = recommendationId;
}
/**
* <p>
* The recommendation ID which uniquely identifies each recommendation.
* </p>
*
* @return The recommendation ID which uniquely identifies each recommendation.
*/
public String getRecommendationId() {
return this.recommendationId;
}
/**
* <p>
* The recommendation ID which uniquely identifies each recommendation.
* </p>
*
* @param recommendationId
* The recommendation ID which uniquely identifies each recommendation.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public RealTimeInferenceRecommendation withRecommendationId(String recommendationId) {
setRecommendationId(recommendationId);
return this;
}
/**
* <p>
* The recommended instance type for Real-Time Inference.
* </p>
*
* @param instanceType
* The recommended instance type for Real-Time Inference.
* @see ProductionVariantInstanceType
*/
public void setInstanceType(String instanceType) {
this.instanceType = instanceType;
}
/**
* <p>
* The recommended instance type for Real-Time Inference.
* </p>
*
* @return The recommended instance type for Real-Time Inference.
* @see ProductionVariantInstanceType
*/
public String getInstanceType() {
return this.instanceType;
}
/**
* <p>
* The recommended instance type for Real-Time Inference.
* </p>
*
* @param instanceType
* The recommended instance type for Real-Time Inference.
* @return Returns a reference to this object so that method calls can be chained together.
* @see ProductionVariantInstanceType
*/
public RealTimeInferenceRecommendation withInstanceType(String instanceType) {
setInstanceType(instanceType);
return this;
}
/**
* <p>
* The recommended instance type for Real-Time Inference.
* </p>
*
* @param instanceType
* The recommended instance type for Real-Time Inference.
* @return Returns a reference to this object so that method calls can be chained together.
* @see ProductionVariantInstanceType
*/
public RealTimeInferenceRecommendation withInstanceType(ProductionVariantInstanceType instanceType) {
this.instanceType = instanceType.toString();
return this;
}
/**
* <p>
* The recommended environment variables to set in the model container for Real-Time Inference.
* </p>
*
* @return The recommended environment variables to set in the model container for Real-Time Inference.
*/
public java.util.Map<String, String> getEnvironment() {
return environment;
}
/**
* <p>
* The recommended environment variables to set in the model container for Real-Time Inference.
* </p>
*
* @param environment
* The recommended environment variables to set in the model container for Real-Time Inference.
*/
public void setEnvironment(java.util.Map<String, String> environment) {
this.environment = environment;
}
/**
* <p>
* The recommended environment variables to set in the model container for Real-Time Inference.
* </p>
*
* @param environment
* The recommended environment variables to set in the model container for Real-Time Inference.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public RealTimeInferenceRecommendation withEnvironment(java.util.Map<String, String> environment) {
setEnvironment(environment);
return this;
}
/**
* Add a single Environment entry
*
* @see RealTimeInferenceRecommendation#withEnvironment
* @returns a reference to this object so that method calls can be chained together.
*/
public RealTimeInferenceRecommendation addEnvironmentEntry(String key, String value) {
if (null == this.environment) {
this.environment = new java.util.HashMap<String, String>();
}
if (this.environment.containsKey(key))
throw new IllegalArgumentException("Duplicated keys (" + key.toString() + ") are provided.");
this.environment.put(key, value);
return this;
}
/**
* Removes all the entries added into Environment.
*
* @return Returns a reference to this object so that method calls can be chained together.
*/
public RealTimeInferenceRecommendation clearEnvironmentEntries() {
this.environment = null;
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 (getRecommendationId() != null)
sb.append("RecommendationId: ").append(getRecommendationId()).append(",");
if (getInstanceType() != null)
sb.append("InstanceType: ").append(getInstanceType()).append(",");
if (getEnvironment() != null)
sb.append("Environment: ").append(getEnvironment());
sb.append("}");
return sb.toString();
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (obj instanceof RealTimeInferenceRecommendation == false)
return false;
RealTimeInferenceRecommendation other = (RealTimeInferenceRecommendation) obj;
if (other.getRecommendationId() == null ^ this.getRecommendationId() == null)
return false;
if (other.getRecommendationId() != null && other.getRecommendationId().equals(this.getRecommendationId()) == false)
return false;
if (other.getInstanceType() == null ^ this.getInstanceType() == null)
return false;
if (other.getInstanceType() != null && other.getInstanceType().equals(this.getInstanceType()) == false)
return false;
if (other.getEnvironment() == null ^ this.getEnvironment() == null)
return false;
if (other.getEnvironment() != null && other.getEnvironment().equals(this.getEnvironment()) == false)
return false;
return true;
}
@Override
public int hashCode() {
final int prime = 31;
int hashCode = 1;
hashCode = prime * hashCode + ((getRecommendationId() == null) ? 0 : getRecommendationId().hashCode());
hashCode = prime * hashCode + ((getInstanceType() == null) ? 0 : getInstanceType().hashCode());
hashCode = prime * hashCode + ((getEnvironment() == null) ? 0 : getEnvironment().hashCode());
return hashCode;
}
@Override
public RealTimeInferenceRecommendation clone() {
try {
return (RealTimeInferenceRecommendation) 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.RealTimeInferenceRecommendationMarshaller.getInstance().marshall(this, protocolMarshaller);
}
}