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// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
#[allow(missing_docs)] // documentation missing in model
#[non_exhaustive]
#[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::fmt::Debug)]
pub struct CreateMetricAttributionInput {
/// <p>A name for the metric attribution.</p>
pub name: ::std::option::Option<::std::string::String>,
/// <p>The Amazon Resource Name (ARN) of the destination dataset group for the metric attribution.</p>
pub dataset_group_arn: ::std::option::Option<::std::string::String>,
/// <p>A list of metric attributes for the metric attribution. Each metric attribute specifies an event type to track and a function. Available functions are <code>SUM()</code> or <code>SAMPLECOUNT()</code>. For SUM() functions, provide the dataset type (either Interactions or Items) and column to sum as a parameter. For example SUM(Items.PRICE).</p>
pub metrics: ::std::option::Option<::std::vec::Vec<crate::types::MetricAttribute>>,
/// <p>The output configuration details for the metric attribution.</p>
pub metrics_output_config: ::std::option::Option<crate::types::MetricAttributionOutput>,
}
impl CreateMetricAttributionInput {
/// <p>A name for the metric attribution.</p>
pub fn name(&self) -> ::std::option::Option<&str> {
self.name.as_deref()
}
/// <p>The Amazon Resource Name (ARN) of the destination dataset group for the metric attribution.</p>
pub fn dataset_group_arn(&self) -> ::std::option::Option<&str> {
self.dataset_group_arn.as_deref()
}
/// <p>A list of metric attributes for the metric attribution. Each metric attribute specifies an event type to track and a function. Available functions are <code>SUM()</code> or <code>SAMPLECOUNT()</code>. For SUM() functions, provide the dataset type (either Interactions or Items) and column to sum as a parameter. For example SUM(Items.PRICE).</p>
///
/// If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use `.metrics.is_none()`.
pub fn metrics(&self) -> &[crate::types::MetricAttribute] {
self.metrics.as_deref().unwrap_or_default()
}
/// <p>The output configuration details for the metric attribution.</p>
pub fn metrics_output_config(&self) -> ::std::option::Option<&crate::types::MetricAttributionOutput> {
self.metrics_output_config.as_ref()
}
}
impl CreateMetricAttributionInput {
/// Creates a new builder-style object to manufacture [`CreateMetricAttributionInput`](crate::operation::create_metric_attribution::CreateMetricAttributionInput).
pub fn builder() -> crate::operation::create_metric_attribution::builders::CreateMetricAttributionInputBuilder {
crate::operation::create_metric_attribution::builders::CreateMetricAttributionInputBuilder::default()
}
}
/// A builder for [`CreateMetricAttributionInput`](crate::operation::create_metric_attribution::CreateMetricAttributionInput).
#[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::default::Default, ::std::fmt::Debug)]
#[non_exhaustive]
pub struct CreateMetricAttributionInputBuilder {
pub(crate) name: ::std::option::Option<::std::string::String>,
pub(crate) dataset_group_arn: ::std::option::Option<::std::string::String>,
pub(crate) metrics: ::std::option::Option<::std::vec::Vec<crate::types::MetricAttribute>>,
pub(crate) metrics_output_config: ::std::option::Option<crate::types::MetricAttributionOutput>,
}
impl CreateMetricAttributionInputBuilder {
/// <p>A name for the metric attribution.</p>
/// This field is required.
pub fn name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.name = ::std::option::Option::Some(input.into());
self
}
/// <p>A name for the metric attribution.</p>
pub fn set_name(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.name = input;
self
}
/// <p>A name for the metric attribution.</p>
pub fn get_name(&self) -> &::std::option::Option<::std::string::String> {
&self.name
}
/// <p>The Amazon Resource Name (ARN) of the destination dataset group for the metric attribution.</p>
/// This field is required.
pub fn dataset_group_arn(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.dataset_group_arn = ::std::option::Option::Some(input.into());
self
}
/// <p>The Amazon Resource Name (ARN) of the destination dataset group for the metric attribution.</p>
pub fn set_dataset_group_arn(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.dataset_group_arn = input;
self
}
/// <p>The Amazon Resource Name (ARN) of the destination dataset group for the metric attribution.</p>
pub fn get_dataset_group_arn(&self) -> &::std::option::Option<::std::string::String> {
&self.dataset_group_arn
}
/// Appends an item to `metrics`.
///
/// To override the contents of this collection use [`set_metrics`](Self::set_metrics).
///
/// <p>A list of metric attributes for the metric attribution. Each metric attribute specifies an event type to track and a function. Available functions are <code>SUM()</code> or <code>SAMPLECOUNT()</code>. For SUM() functions, provide the dataset type (either Interactions or Items) and column to sum as a parameter. For example SUM(Items.PRICE).</p>
pub fn metrics(mut self, input: crate::types::MetricAttribute) -> Self {
let mut v = self.metrics.unwrap_or_default();
v.push(input);
self.metrics = ::std::option::Option::Some(v);
self
}
/// <p>A list of metric attributes for the metric attribution. Each metric attribute specifies an event type to track and a function. Available functions are <code>SUM()</code> or <code>SAMPLECOUNT()</code>. For SUM() functions, provide the dataset type (either Interactions or Items) and column to sum as a parameter. For example SUM(Items.PRICE).</p>
pub fn set_metrics(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::MetricAttribute>>) -> Self {
self.metrics = input;
self
}
/// <p>A list of metric attributes for the metric attribution. Each metric attribute specifies an event type to track and a function. Available functions are <code>SUM()</code> or <code>SAMPLECOUNT()</code>. For SUM() functions, provide the dataset type (either Interactions or Items) and column to sum as a parameter. For example SUM(Items.PRICE).</p>
pub fn get_metrics(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::MetricAttribute>> {
&self.metrics
}
/// <p>The output configuration details for the metric attribution.</p>
/// This field is required.
pub fn metrics_output_config(mut self, input: crate::types::MetricAttributionOutput) -> Self {
self.metrics_output_config = ::std::option::Option::Some(input);
self
}
/// <p>The output configuration details for the metric attribution.</p>
pub fn set_metrics_output_config(mut self, input: ::std::option::Option<crate::types::MetricAttributionOutput>) -> Self {
self.metrics_output_config = input;
self
}
/// <p>The output configuration details for the metric attribution.</p>
pub fn get_metrics_output_config(&self) -> &::std::option::Option<crate::types::MetricAttributionOutput> {
&self.metrics_output_config
}
/// Consumes the builder and constructs a [`CreateMetricAttributionInput`](crate::operation::create_metric_attribution::CreateMetricAttributionInput).
pub fn build(
self,
) -> ::std::result::Result<
crate::operation::create_metric_attribution::CreateMetricAttributionInput,
::aws_smithy_types::error::operation::BuildError,
> {
::std::result::Result::Ok(crate::operation::create_metric_attribution::CreateMetricAttributionInput {
name: self.name,
dataset_group_arn: self.dataset_group_arn,
metrics: self.metrics,
metrics_output_config: self.metrics_output_config,
})
}
}