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// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub use crate::operation::create_metric_attribution::_create_metric_attribution_output::CreateMetricAttributionOutputBuilder;

pub use crate::operation::create_metric_attribution::_create_metric_attribution_input::CreateMetricAttributionInputBuilder;

impl CreateMetricAttributionInputBuilder {
    /// Sends a request with this input using the given client.
    pub async fn send_with(
        self,
        client: &crate::Client,
    ) -> ::std::result::Result<
        crate::operation::create_metric_attribution::CreateMetricAttributionOutput,
        ::aws_smithy_runtime_api::client::result::SdkError<
            crate::operation::create_metric_attribution::CreateMetricAttributionError,
            ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
        >,
    > {
        let mut fluent_builder = client.create_metric_attribution();
        fluent_builder.inner = self;
        fluent_builder.send().await
    }
}
/// Fluent builder constructing a request to `CreateMetricAttribution`.
///
/// <p>Creates a metric attribution. A metric attribution creates reports on the data that you import into Amazon Personalize. Depending on how you imported the data, you can view reports in Amazon CloudWatch or Amazon S3. For more information, see <a href="https://docs.aws.amazon.com/personalize/latest/dg/measuring-recommendation-impact.html">Measuring impact of recommendations</a>.</p>
#[derive(::std::clone::Clone, ::std::fmt::Debug)]
pub struct CreateMetricAttributionFluentBuilder {
    handle: ::std::sync::Arc<crate::client::Handle>,
    inner: crate::operation::create_metric_attribution::builders::CreateMetricAttributionInputBuilder,
    config_override: ::std::option::Option<crate::config::Builder>,
}
impl
    crate::client::customize::internal::CustomizableSend<
        crate::operation::create_metric_attribution::CreateMetricAttributionOutput,
        crate::operation::create_metric_attribution::CreateMetricAttributionError,
    > for CreateMetricAttributionFluentBuilder
{
    fn send(
        self,
        config_override: crate::config::Builder,
    ) -> crate::client::customize::internal::BoxFuture<
        crate::client::customize::internal::SendResult<
            crate::operation::create_metric_attribution::CreateMetricAttributionOutput,
            crate::operation::create_metric_attribution::CreateMetricAttributionError,
        >,
    > {
        ::std::boxed::Box::pin(async move { self.config_override(config_override).send().await })
    }
}
impl CreateMetricAttributionFluentBuilder {
    /// Creates a new `CreateMetricAttribution`.
    pub(crate) fn new(handle: ::std::sync::Arc<crate::client::Handle>) -> Self {
        Self {
            handle,
            inner: ::std::default::Default::default(),
            config_override: ::std::option::Option::None,
        }
    }
    /// Access the CreateMetricAttribution as a reference.
    pub fn as_input(&self) -> &crate::operation::create_metric_attribution::builders::CreateMetricAttributionInputBuilder {
        &self.inner
    }
    /// Sends the request and returns the response.
    ///
    /// If an error occurs, an `SdkError` will be returned with additional details that
    /// can be matched against.
    ///
    /// By default, any retryable failures will be retried twice. Retry behavior
    /// is configurable with the [RetryConfig](aws_smithy_types::retry::RetryConfig), which can be
    /// set when configuring the client.
    pub async fn send(
        self,
    ) -> ::std::result::Result<
        crate::operation::create_metric_attribution::CreateMetricAttributionOutput,
        ::aws_smithy_runtime_api::client::result::SdkError<
            crate::operation::create_metric_attribution::CreateMetricAttributionError,
            ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
        >,
    > {
        let input = self
            .inner
            .build()
            .map_err(::aws_smithy_runtime_api::client::result::SdkError::construction_failure)?;
        let runtime_plugins = crate::operation::create_metric_attribution::CreateMetricAttribution::operation_runtime_plugins(
            self.handle.runtime_plugins.clone(),
            &self.handle.conf,
            self.config_override,
        );
        crate::operation::create_metric_attribution::CreateMetricAttribution::orchestrate(&runtime_plugins, input).await
    }

    /// Consumes this builder, creating a customizable operation that can be modified before being sent.
    pub fn customize(
        self,
    ) -> crate::client::customize::CustomizableOperation<
        crate::operation::create_metric_attribution::CreateMetricAttributionOutput,
        crate::operation::create_metric_attribution::CreateMetricAttributionError,
        Self,
    > {
        crate::client::customize::CustomizableOperation::new(self)
    }
    pub(crate) fn config_override(mut self, config_override: impl Into<crate::config::Builder>) -> Self {
        self.set_config_override(Some(config_override.into()));
        self
    }

    pub(crate) fn set_config_override(&mut self, config_override: Option<crate::config::Builder>) -> &mut Self {
        self.config_override = config_override;
        self
    }
    /// <p>A name for the metric attribution.</p>
    pub fn name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.name(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.inner = self.inner.set_name(input);
        self
    }
    /// <p>A name for the metric attribution.</p>
    pub fn get_name(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_name()
    }
    /// <p>The Amazon Resource Name (ARN) of the destination dataset group for the metric attribution.</p>
    pub fn dataset_group_arn(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.dataset_group_arn(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.inner = self.inner.set_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.inner.get_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 {
        self.inner = self.inner.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 set_metrics(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::MetricAttribute>>) -> Self {
        self.inner = self.inner.set_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.inner.get_metrics()
    }
    /// <p>The output configuration details for the metric attribution.</p>
    pub fn metrics_output_config(mut self, input: crate::types::MetricAttributionOutput) -> Self {
        self.inner = self.inner.metrics_output_config(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.inner = self.inner.set_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.inner.get_metrics_output_config()
    }
}