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The AWS SDK for Kotlin client for Personalize
// Code generated by smithy-kotlin-codegen. DO NOT EDIT!
package aws.sdk.kotlin.services.personalize.model
import aws.smithy.kotlin.runtime.SdkDsl
public class CreateMetricAttributionRequest private constructor(builder: Builder) {
/**
* The Amazon Resource Name (ARN) of the destination dataset group for the metric attribution.
*/
public val datasetGroupArn: kotlin.String? = builder.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).
*/
public val metrics: List? = builder.metrics
/**
* The output configuration details for the metric attribution.
*/
public val metricsOutputConfig: aws.sdk.kotlin.services.personalize.model.MetricAttributionOutput? = builder.metricsOutputConfig
/**
* A name for the metric attribution.
*/
public val name: kotlin.String? = builder.name
public companion object {
public operator fun invoke(block: Builder.() -> kotlin.Unit): aws.sdk.kotlin.services.personalize.model.CreateMetricAttributionRequest = Builder().apply(block).build()
}
override fun toString(): kotlin.String = buildString {
append("CreateMetricAttributionRequest(")
append("datasetGroupArn=$datasetGroupArn,")
append("metrics=$metrics,")
append("metricsOutputConfig=$metricsOutputConfig,")
append("name=$name")
append(")")
}
override fun hashCode(): kotlin.Int {
var result = datasetGroupArn?.hashCode() ?: 0
result = 31 * result + (metrics?.hashCode() ?: 0)
result = 31 * result + (metricsOutputConfig?.hashCode() ?: 0)
result = 31 * result + (name?.hashCode() ?: 0)
return result
}
override fun equals(other: kotlin.Any?): kotlin.Boolean {
if (this === other) return true
if (other == null || this::class != other::class) return false
other as CreateMetricAttributionRequest
if (datasetGroupArn != other.datasetGroupArn) return false
if (metrics != other.metrics) return false
if (metricsOutputConfig != other.metricsOutputConfig) return false
if (name != other.name) return false
return true
}
public inline fun copy(block: Builder.() -> kotlin.Unit = {}): aws.sdk.kotlin.services.personalize.model.CreateMetricAttributionRequest = Builder(this).apply(block).build()
@SdkDsl
public class Builder {
/**
* The Amazon Resource Name (ARN) of the destination dataset group for the metric attribution.
*/
public var datasetGroupArn: kotlin.String? = null
/**
* 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 var metrics: List? = null
/**
* The output configuration details for the metric attribution.
*/
public var metricsOutputConfig: aws.sdk.kotlin.services.personalize.model.MetricAttributionOutput? = null
/**
* A name for the metric attribution.
*/
public var name: kotlin.String? = null
@PublishedApi
internal constructor()
@PublishedApi
internal constructor(x: aws.sdk.kotlin.services.personalize.model.CreateMetricAttributionRequest) : this() {
this.datasetGroupArn = x.datasetGroupArn
this.metrics = x.metrics
this.metricsOutputConfig = x.metricsOutputConfig
this.name = x.name
}
@PublishedApi
internal fun build(): aws.sdk.kotlin.services.personalize.model.CreateMetricAttributionRequest = CreateMetricAttributionRequest(this)
/**
* construct an [aws.sdk.kotlin.services.personalize.model.MetricAttributionOutput] inside the given [block]
*/
public fun metricsOutputConfig(block: aws.sdk.kotlin.services.personalize.model.MetricAttributionOutput.Builder.() -> kotlin.Unit) {
this.metricsOutputConfig = aws.sdk.kotlin.services.personalize.model.MetricAttributionOutput.invoke(block)
}
internal fun correctErrors(): Builder {
return this
}
}
}