/*
* Copyright 2012-2017 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.machinelearning.model;
import java.io.Serializable;
import javax.annotation.Generated;
import com.amazonaws.AmazonWebServiceRequest;
@Generated("com.amazonaws:aws-java-sdk-code-generator")
public class PredictRequest extends com.amazonaws.AmazonWebServiceRequest implements Serializable, Cloneable {
/**
* <p>
* A unique identifier of the <code>MLModel</code>.
* </p>
*/
private String mLModelId;
private com.amazonaws.internal.SdkInternalMap<String, String> record;
private String predictEndpoint;
/**
* <p>
* A unique identifier of the <code>MLModel</code>.
* </p>
*
* @param mLModelId
* A unique identifier of the <code>MLModel</code>.
*/
public void setMLModelId(String mLModelId) {
this.mLModelId = mLModelId;
}
/**
* <p>
* A unique identifier of the <code>MLModel</code>.
* </p>
*
* @return A unique identifier of the <code>MLModel</code>.
*/
public String getMLModelId() {
return this.mLModelId;
}
/**
* <p>
* A unique identifier of the <code>MLModel</code>.
* </p>
*
* @param mLModelId
* A unique identifier of the <code>MLModel</code>.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public PredictRequest withMLModelId(String mLModelId) {
setMLModelId(mLModelId);
return this;
}
/**
* @return
*/
public java.util.Map<String, String> getRecord() {
if (record == null) {
record = new com.amazonaws.internal.SdkInternalMap<String, String>();
}
return record;
}
/**
* @param record
*/
public void setRecord(java.util.Map<String, String> record) {
this.record = record == null ? null : new com.amazonaws.internal.SdkInternalMap<String, String>(record);
}
/**
* @param record
* @return Returns a reference to this object so that method calls can be chained together.
*/
public PredictRequest withRecord(java.util.Map<String, String> record) {
setRecord(record);
return this;
}
public PredictRequest addRecordEntry(String key, String value) {
if (null == this.record) {
this.record = new com.amazonaws.internal.SdkInternalMap<String, String>();
}
if (this.record.containsKey(key))
throw new IllegalArgumentException("Duplicated keys (" + key.toString() + ") are provided.");
this.record.put(key, value);
return this;
}
/**
* Removes all the entries added into Record.
*
* @return Returns a reference to this object so that method calls can be chained together.
*/
public PredictRequest clearRecordEntries() {
this.record = null;
return this;
}
/**
* @param predictEndpoint
*/
public void setPredictEndpoint(String predictEndpoint) {
this.predictEndpoint = predictEndpoint;
}
/**
* @return
*/
public String getPredictEndpoint() {
return this.predictEndpoint;
}
/**
* @param predictEndpoint
* @return Returns a reference to this object so that method calls can be chained together.
*/
public PredictRequest withPredictEndpoint(String predictEndpoint) {
setPredictEndpoint(predictEndpoint);
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 (getMLModelId() != null)
sb.append("MLModelId: ").append(getMLModelId()).append(",");
if (getRecord() != null)
sb.append("Record: ").append(getRecord()).append(",");
if (getPredictEndpoint() != null)
sb.append("PredictEndpoint: ").append(getPredictEndpoint());
sb.append("}");
return sb.toString();
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (obj instanceof PredictRequest == false)
return false;
PredictRequest other = (PredictRequest) obj;
if (other.getMLModelId() == null ^ this.getMLModelId() == null)
return false;
if (other.getMLModelId() != null && other.getMLModelId().equals(this.getMLModelId()) == false)
return false;
if (other.getRecord() == null ^ this.getRecord() == null)
return false;
if (other.getRecord() != null && other.getRecord().equals(this.getRecord()) == false)
return false;
if (other.getPredictEndpoint() == null ^ this.getPredictEndpoint() == null)
return false;
if (other.getPredictEndpoint() != null && other.getPredictEndpoint().equals(this.getPredictEndpoint()) == false)
return false;
return true;
}
@Override
public int hashCode() {
final int prime = 31;
int hashCode = 1;
hashCode = prime * hashCode + ((getMLModelId() == null) ? 0 : getMLModelId().hashCode());
hashCode = prime * hashCode + ((getRecord() == null) ? 0 : getRecord().hashCode());
hashCode = prime * hashCode + ((getPredictEndpoint() == null) ? 0 : getPredictEndpoint().hashCode());
return hashCode;
}
@Override
public PredictRequest clone() {
return (PredictRequest) super.clone();
}
}