// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub use crate::operation::create_recommender::_create_recommender_output::CreateRecommenderOutputBuilder;

pub use crate::operation::create_recommender::_create_recommender_input::CreateRecommenderInputBuilder;

impl CreateRecommenderInputBuilder {
    /// 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_recommender::CreateRecommenderOutput,
        ::aws_smithy_http::result::SdkError<
            crate::operation::create_recommender::CreateRecommenderError,
            ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
        >,
    > {
        let mut fluent_builder = client.create_recommender();
        fluent_builder.inner = self;
        fluent_builder.send().await
    }
}
/// Fluent builder constructing a request to `CreateRecommender`.
///
/// <p>Creates a recommender with the recipe (a Domain dataset group use case) you specify. You create recommenders for a Domain dataset group and specify the recommender's Amazon Resource Name (ARN) when you make a <a href="https://docs.aws.amazon.com/personalize/latest/dg/API_RS_GetRecommendations.html">GetRecommendations</a> request. </p>
/// <p> <b>Minimum recommendation requests per second</b> </p> <important>
/// <p>A high <code>minRecommendationRequestsPerSecond</code> will increase your bill. We recommend starting with 1 for <code>minRecommendationRequestsPerSecond</code> (the default). Track your usage using Amazon CloudWatch metrics, and increase the <code>minRecommendationRequestsPerSecond</code> as necessary.</p>
/// </important>
/// <p>When you create a recommender, you can configure the recommender's minimum recommendation requests per second. The minimum recommendation requests per second (<code>minRecommendationRequestsPerSecond</code>) specifies the baseline recommendation request throughput provisioned by Amazon Personalize. The default minRecommendationRequestsPerSecond is <code>1</code>. A recommendation request is a single <code>GetRecommendations</code> operation. Request throughput is measured in requests per second and Amazon Personalize uses your requests per second to derive your requests per hour and the price of your recommender usage. </p>
/// <p> If your requests per second increases beyond <code>minRecommendationRequestsPerSecond</code>, Amazon Personalize auto-scales the provisioned capacity up and down, but never below <code>minRecommendationRequestsPerSecond</code>. There's a short time delay while the capacity is increased that might cause loss of requests.</p>
/// <p> Your bill is the greater of either the minimum requests per hour (based on minRecommendationRequestsPerSecond) or the actual number of requests. The actual request throughput used is calculated as the average requests/second within a one-hour window. We recommend starting with the default <code>minRecommendationRequestsPerSecond</code>, track your usage using Amazon CloudWatch metrics, and then increase the <code>minRecommendationRequestsPerSecond</code> as necessary. </p>
/// <p> <b>Status</b> </p>
/// <p>A recommender can be in one of the following states:</p>
/// <ul>
/// <li> <p>CREATE PENDING &gt; CREATE IN_PROGRESS &gt; ACTIVE -or- CREATE FAILED</p> </li>
/// <li> <p>STOP PENDING &gt; STOP IN_PROGRESS &gt; INACTIVE &gt; START PENDING &gt; START IN_PROGRESS &gt; ACTIVE</p> </li>
/// <li> <p>DELETE PENDING &gt; DELETE IN_PROGRESS</p> </li>
/// </ul>
/// <p>To get the recommender status, call <a href="https://docs.aws.amazon.com/personalize/latest/dg/API_DescribeRecommender.html">DescribeRecommender</a>.</p> <note>
/// <p>Wait until the <code>status</code> of the recommender is <code>ACTIVE</code> before asking the recommender for recommendations.</p>
/// </note>
/// <p class="title"> <b>Related APIs</b> </p>
/// <ul>
/// <li> <p> <a href="https://docs.aws.amazon.com/personalize/latest/dg/API_ListRecommenders.html">ListRecommenders</a> </p> </li>
/// <li> <p> <a href="https://docs.aws.amazon.com/personalize/latest/dg/API_DescribeRecommender.html">DescribeRecommender</a> </p> </li>
/// <li> <p> <a href="https://docs.aws.amazon.com/personalize/latest/dg/API_UpdateRecommender.html">UpdateRecommender</a> </p> </li>
/// <li> <p> <a href="https://docs.aws.amazon.com/personalize/latest/dg/API_DeleteRecommender.html">DeleteRecommender</a> </p> </li>
/// </ul>
#[derive(::std::clone::Clone, ::std::fmt::Debug)]
pub struct CreateRecommenderFluentBuilder {
    handle: ::std::sync::Arc<crate::client::Handle>,
    inner: crate::operation::create_recommender::builders::CreateRecommenderInputBuilder,
    config_override: ::std::option::Option<crate::config::Builder>,
}
impl
    crate::client::customize::internal::CustomizableSend<
        crate::operation::create_recommender::CreateRecommenderOutput,
        crate::operation::create_recommender::CreateRecommenderError,
    > for CreateRecommenderFluentBuilder
{
    fn send(
        self,
        config_override: crate::config::Builder,
    ) -> crate::client::customize::internal::BoxFuture<
        crate::client::customize::internal::SendResult<
            crate::operation::create_recommender::CreateRecommenderOutput,
            crate::operation::create_recommender::CreateRecommenderError,
        >,
    > {
        ::std::boxed::Box::pin(async move { self.config_override(config_override).send().await })
    }
}
impl CreateRecommenderFluentBuilder {
    /// Creates a new `CreateRecommender`.
    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 CreateRecommender as a reference.
    pub fn as_input(&self) -> &crate::operation::create_recommender::builders::CreateRecommenderInputBuilder {
        &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_recommender::CreateRecommenderOutput,
        ::aws_smithy_http::result::SdkError<
            crate::operation::create_recommender::CreateRecommenderError,
            ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
        >,
    > {
        let input = self.inner.build().map_err(::aws_smithy_http::result::SdkError::construction_failure)?;
        let runtime_plugins = crate::operation::create_recommender::CreateRecommender::operation_runtime_plugins(
            self.handle.runtime_plugins.clone(),
            &self.handle.conf,
            self.config_override,
        );
        crate::operation::create_recommender::CreateRecommender::orchestrate(&runtime_plugins, input).await
    }

    /// Consumes this builder, creating a customizable operation that can be modified before being
    /// sent.
    // TODO(enableNewSmithyRuntimeCleanup): Remove `async` and `Result` once we switch to orchestrator
    pub async fn customize(
        self,
    ) -> ::std::result::Result<
        crate::client::customize::orchestrator::CustomizableOperation<
            crate::operation::create_recommender::CreateRecommenderOutput,
            crate::operation::create_recommender::CreateRecommenderError,
            Self,
        >,
        ::aws_smithy_http::result::SdkError<crate::operation::create_recommender::CreateRecommenderError>,
    > {
        ::std::result::Result::Ok(crate::client::customize::orchestrator::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>The name of the recommender.</p>
    pub fn name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.name(input.into());
        self
    }
    /// <p>The name of the recommender.</p>
    pub fn set_name(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_name(input);
        self
    }
    /// <p>The name of the recommender.</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 domain dataset group for the recommender.</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 domain dataset group for the recommender.</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 domain dataset group for the recommender.</p>
    pub fn get_dataset_group_arn(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_dataset_group_arn()
    }
    /// <p>The Amazon Resource Name (ARN) of the recipe that the recommender will use. For a recommender, a recipe is a Domain dataset group use case. Only Domain dataset group use cases can be used to create a recommender. For information about use cases see <a href="https://docs.aws.amazon.com/personalize/latest/dg/domain-use-cases.html">Choosing recommender use cases</a>. </p>
    pub fn recipe_arn(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.recipe_arn(input.into());
        self
    }
    /// <p>The Amazon Resource Name (ARN) of the recipe that the recommender will use. For a recommender, a recipe is a Domain dataset group use case. Only Domain dataset group use cases can be used to create a recommender. For information about use cases see <a href="https://docs.aws.amazon.com/personalize/latest/dg/domain-use-cases.html">Choosing recommender use cases</a>. </p>
    pub fn set_recipe_arn(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_recipe_arn(input);
        self
    }
    /// <p>The Amazon Resource Name (ARN) of the recipe that the recommender will use. For a recommender, a recipe is a Domain dataset group use case. Only Domain dataset group use cases can be used to create a recommender. For information about use cases see <a href="https://docs.aws.amazon.com/personalize/latest/dg/domain-use-cases.html">Choosing recommender use cases</a>. </p>
    pub fn get_recipe_arn(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_recipe_arn()
    }
    /// <p>The configuration details of the recommender.</p>
    pub fn recommender_config(mut self, input: crate::types::RecommenderConfig) -> Self {
        self.inner = self.inner.recommender_config(input);
        self
    }
    /// <p>The configuration details of the recommender.</p>
    pub fn set_recommender_config(mut self, input: ::std::option::Option<crate::types::RecommenderConfig>) -> Self {
        self.inner = self.inner.set_recommender_config(input);
        self
    }
    /// <p>The configuration details of the recommender.</p>
    pub fn get_recommender_config(&self) -> &::std::option::Option<crate::types::RecommenderConfig> {
        self.inner.get_recommender_config()
    }
    /// Appends an item to `tags`.
    ///
    /// To override the contents of this collection use [`set_tags`](Self::set_tags).
    ///
    /// <p>A list of <a href="https://docs.aws.amazon.com/personalize/latest/dg/tagging-resources.html">tags</a> to apply to the recommender.</p>
    pub fn tags(mut self, input: crate::types::Tag) -> Self {
        self.inner = self.inner.tags(input);
        self
    }
    /// <p>A list of <a href="https://docs.aws.amazon.com/personalize/latest/dg/tagging-resources.html">tags</a> to apply to the recommender.</p>
    pub fn set_tags(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::Tag>>) -> Self {
        self.inner = self.inner.set_tags(input);
        self
    }
    /// <p>A list of <a href="https://docs.aws.amazon.com/personalize/latest/dg/tagging-resources.html">tags</a> to apply to the recommender.</p>
    pub fn get_tags(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::Tag>> {
        self.inner.get_tags()
    }
}