com.amazonaws.services.personalize.model.CreateMetricAttributionRequest Maven / Gradle / Ivy
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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.personalize.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 CreateMetricAttributionRequest extends com.amazonaws.AmazonWebServiceRequest implements Serializable, Cloneable {
/**
*
* A name for the metric attribution.
*
*/
private String name;
/**
*
* The Amazon Resource Name (ARN) of the destination dataset group for the metric attribution.
*
*/
private String datasetGroupArn;
/**
*
* A list of metric attributes for the metric attribution. Each metric attribute specifies an event type to track
* and a function. Available functions are SUM()
or SAMPLECOUNT()
. For SUM() functions,
* provide the dataset type (either Interactions or Items) and column to sum as a parameter. For example
* SUM(Items.PRICE).
*
*/
private java.util.List metrics;
/**
*
* The output configuration details for the metric attribution.
*
*/
private MetricAttributionOutput metricsOutputConfig;
/**
*
* A name for the metric attribution.
*
*
* @param name
* A name for the metric attribution.
*/
public void setName(String name) {
this.name = name;
}
/**
*
* A name for the metric attribution.
*
*
* @return A name for the metric attribution.
*/
public String getName() {
return this.name;
}
/**
*
* A name for the metric attribution.
*
*
* @param name
* A name for the metric attribution.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public CreateMetricAttributionRequest withName(String name) {
setName(name);
return this;
}
/**
*
* The Amazon Resource Name (ARN) of the destination dataset group for the metric attribution.
*
*
* @param datasetGroupArn
* The Amazon Resource Name (ARN) of the destination dataset group for the metric attribution.
*/
public void setDatasetGroupArn(String datasetGroupArn) {
this.datasetGroupArn = datasetGroupArn;
}
/**
*
* The Amazon Resource Name (ARN) of the destination dataset group for the metric attribution.
*
*
* @return The Amazon Resource Name (ARN) of the destination dataset group for the metric attribution.
*/
public String getDatasetGroupArn() {
return this.datasetGroupArn;
}
/**
*
* The Amazon Resource Name (ARN) of the destination dataset group for the metric attribution.
*
*
* @param datasetGroupArn
* The Amazon Resource Name (ARN) of the destination dataset group for the metric attribution.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public CreateMetricAttributionRequest withDatasetGroupArn(String datasetGroupArn) {
setDatasetGroupArn(datasetGroupArn);
return this;
}
/**
*
* A list of metric attributes for the metric attribution. Each metric attribute specifies an event type to track
* and a function. Available functions are SUM()
or SAMPLECOUNT()
. For SUM() functions,
* provide the dataset type (either Interactions or Items) and column to sum as a parameter. For example
* SUM(Items.PRICE).
*
*
* @return A list of metric attributes for the metric attribution. Each metric attribute specifies an event type to
* track and a function. Available functions are SUM()
or SAMPLECOUNT()
. For SUM()
* functions, provide the dataset type (either Interactions or Items) and column to sum as a parameter. For
* example SUM(Items.PRICE).
*/
public java.util.List getMetrics() {
return metrics;
}
/**
*
* A list of metric attributes for the metric attribution. Each metric attribute specifies an event type to track
* and a function. Available functions are SUM()
or SAMPLECOUNT()
. For SUM() functions,
* provide the dataset type (either Interactions or Items) and column to sum as a parameter. For example
* SUM(Items.PRICE).
*
*
* @param metrics
* A list of metric attributes for the metric attribution. Each metric attribute specifies an event type to
* track and a function. Available functions are SUM()
or SAMPLECOUNT()
. For SUM()
* functions, provide the dataset type (either Interactions or Items) and column to sum as a parameter. For
* example SUM(Items.PRICE).
*/
public void setMetrics(java.util.Collection metrics) {
if (metrics == null) {
this.metrics = null;
return;
}
this.metrics = new java.util.ArrayList(metrics);
}
/**
*
* A list of metric attributes for the metric attribution. Each metric attribute specifies an event type to track
* and a function. Available functions are SUM()
or SAMPLECOUNT()
. For SUM() functions,
* provide the dataset type (either Interactions or Items) and column to sum as a parameter. For example
* SUM(Items.PRICE).
*
*
* NOTE: This method appends the values to the existing list (if any). Use
* {@link #setMetrics(java.util.Collection)} or {@link #withMetrics(java.util.Collection)} if you want to override
* the existing values.
*
*
* @param metrics
* A list of metric attributes for the metric attribution. Each metric attribute specifies an event type to
* track and a function. Available functions are SUM()
or SAMPLECOUNT()
. For SUM()
* functions, provide the dataset type (either Interactions or Items) and column to sum as a parameter. For
* example SUM(Items.PRICE).
* @return Returns a reference to this object so that method calls can be chained together.
*/
public CreateMetricAttributionRequest withMetrics(MetricAttribute... metrics) {
if (this.metrics == null) {
setMetrics(new java.util.ArrayList(metrics.length));
}
for (MetricAttribute ele : metrics) {
this.metrics.add(ele);
}
return this;
}
/**
*
* A list of metric attributes for the metric attribution. Each metric attribute specifies an event type to track
* and a function. Available functions are SUM()
or SAMPLECOUNT()
. For SUM() functions,
* provide the dataset type (either Interactions or Items) and column to sum as a parameter. For example
* SUM(Items.PRICE).
*
*
* @param metrics
* A list of metric attributes for the metric attribution. Each metric attribute specifies an event type to
* track and a function. Available functions are SUM()
or SAMPLECOUNT()
. For SUM()
* functions, provide the dataset type (either Interactions or Items) and column to sum as a parameter. For
* example SUM(Items.PRICE).
* @return Returns a reference to this object so that method calls can be chained together.
*/
public CreateMetricAttributionRequest withMetrics(java.util.Collection metrics) {
setMetrics(metrics);
return this;
}
/**
*
* The output configuration details for the metric attribution.
*
*
* @param metricsOutputConfig
* The output configuration details for the metric attribution.
*/
public void setMetricsOutputConfig(MetricAttributionOutput metricsOutputConfig) {
this.metricsOutputConfig = metricsOutputConfig;
}
/**
*
* The output configuration details for the metric attribution.
*
*
* @return The output configuration details for the metric attribution.
*/
public MetricAttributionOutput getMetricsOutputConfig() {
return this.metricsOutputConfig;
}
/**
*
* The output configuration details for the metric attribution.
*
*
* @param metricsOutputConfig
* The output configuration details for the metric attribution.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public CreateMetricAttributionRequest withMetricsOutputConfig(MetricAttributionOutput metricsOutputConfig) {
setMetricsOutputConfig(metricsOutputConfig);
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 (getName() != null)
sb.append("Name: ").append(getName()).append(",");
if (getDatasetGroupArn() != null)
sb.append("DatasetGroupArn: ").append(getDatasetGroupArn()).append(",");
if (getMetrics() != null)
sb.append("Metrics: ").append(getMetrics()).append(",");
if (getMetricsOutputConfig() != null)
sb.append("MetricsOutputConfig: ").append(getMetricsOutputConfig());
sb.append("}");
return sb.toString();
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (obj instanceof CreateMetricAttributionRequest == false)
return false;
CreateMetricAttributionRequest other = (CreateMetricAttributionRequest) obj;
if (other.getName() == null ^ this.getName() == null)
return false;
if (other.getName() != null && other.getName().equals(this.getName()) == false)
return false;
if (other.getDatasetGroupArn() == null ^ this.getDatasetGroupArn() == null)
return false;
if (other.getDatasetGroupArn() != null && other.getDatasetGroupArn().equals(this.getDatasetGroupArn()) == false)
return false;
if (other.getMetrics() == null ^ this.getMetrics() == null)
return false;
if (other.getMetrics() != null && other.getMetrics().equals(this.getMetrics()) == false)
return false;
if (other.getMetricsOutputConfig() == null ^ this.getMetricsOutputConfig() == null)
return false;
if (other.getMetricsOutputConfig() != null && other.getMetricsOutputConfig().equals(this.getMetricsOutputConfig()) == false)
return false;
return true;
}
@Override
public int hashCode() {
final int prime = 31;
int hashCode = 1;
hashCode = prime * hashCode + ((getName() == null) ? 0 : getName().hashCode());
hashCode = prime * hashCode + ((getDatasetGroupArn() == null) ? 0 : getDatasetGroupArn().hashCode());
hashCode = prime * hashCode + ((getMetrics() == null) ? 0 : getMetrics().hashCode());
hashCode = prime * hashCode + ((getMetricsOutputConfig() == null) ? 0 : getMetricsOutputConfig().hashCode());
return hashCode;
}
@Override
public CreateMetricAttributionRequest clone() {
return (CreateMetricAttributionRequest) super.clone();
}
}