// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub use crate::operation::create_solution_version::_create_solution_version_output::CreateSolutionVersionOutputBuilder;

pub use crate::operation::create_solution_version::_create_solution_version_input::CreateSolutionVersionInputBuilder;

impl CreateSolutionVersionInputBuilder {
    /// 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_solution_version::CreateSolutionVersionOutput,
        ::aws_smithy_runtime_api::client::result::SdkError<
            crate::operation::create_solution_version::CreateSolutionVersionError,
            ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
        >,
    > {
        let mut fluent_builder = client.create_solution_version();
        fluent_builder.inner = self;
        fluent_builder.send().await
    }
}
/// Fluent builder constructing a request to `CreateSolutionVersion`.
///
/// <p>Trains or retrains an active solution in a Custom dataset group. A solution is created using the <a href="https://docs.aws.amazon.com/personalize/latest/dg/API_CreateSolution.html">CreateSolution</a> operation and must be in the ACTIVE state before calling <code>CreateSolutionVersion</code>. A new version of the solution is created every time you call this operation.</p>
/// <p><b>Status</b></p>
/// <p>A solution version can be in one of the following states:</p>
/// <ul>
/// <li>
/// <p>CREATE PENDING</p></li>
/// <li>
/// <p>CREATE IN_PROGRESS</p></li>
/// <li>
/// <p>ACTIVE</p></li>
/// <li>
/// <p>CREATE FAILED</p></li>
/// <li>
/// <p>CREATE STOPPING</p></li>
/// <li>
/// <p>CREATE STOPPED</p></li>
/// </ul>
/// <p>To get the status of the version, call <a href="https://docs.aws.amazon.com/personalize/latest/dg/API_DescribeSolutionVersion.html">DescribeSolutionVersion</a>. Wait until the status shows as ACTIVE before calling <code>CreateCampaign</code>.</p>
/// <p>If the status shows as CREATE FAILED, the response includes a <code>failureReason</code> key, which describes why the job failed.</p>
/// <p class="title"><b>Related APIs</b></p>
/// <ul>
/// <li>
/// <p><a href="https://docs.aws.amazon.com/personalize/latest/dg/API_ListSolutionVersions.html">ListSolutionVersions</a></p></li>
/// <li>
/// <p><a href="https://docs.aws.amazon.com/personalize/latest/dg/API_DescribeSolutionVersion.html">DescribeSolutionVersion</a></p></li>
/// <li>
/// <p><a href="https://docs.aws.amazon.com/personalize/latest/dg/API_ListSolutions.html">ListSolutions</a></p></li>
/// <li>
/// <p><a href="https://docs.aws.amazon.com/personalize/latest/dg/API_CreateSolution.html">CreateSolution</a></p></li>
/// <li>
/// <p><a href="https://docs.aws.amazon.com/personalize/latest/dg/API_DescribeSolution.html">DescribeSolution</a></p></li>
/// <li>
/// <p><a href="https://docs.aws.amazon.com/personalize/latest/dg/API_DeleteSolution.html">DeleteSolution</a></p></li>
/// </ul>
#[derive(::std::clone::Clone, ::std::fmt::Debug)]
pub struct CreateSolutionVersionFluentBuilder {
    handle: ::std::sync::Arc<crate::client::Handle>,
    inner: crate::operation::create_solution_version::builders::CreateSolutionVersionInputBuilder,
    config_override: ::std::option::Option<crate::config::Builder>,
}
impl
    crate::client::customize::internal::CustomizableSend<
        crate::operation::create_solution_version::CreateSolutionVersionOutput,
        crate::operation::create_solution_version::CreateSolutionVersionError,
    > for CreateSolutionVersionFluentBuilder
{
    fn send(
        self,
        config_override: crate::config::Builder,
    ) -> crate::client::customize::internal::BoxFuture<
        crate::client::customize::internal::SendResult<
            crate::operation::create_solution_version::CreateSolutionVersionOutput,
            crate::operation::create_solution_version::CreateSolutionVersionError,
        >,
    > {
        ::std::boxed::Box::pin(async move { self.config_override(config_override).send().await })
    }
}
impl CreateSolutionVersionFluentBuilder {
    /// Creates a new `CreateSolutionVersion`.
    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 CreateSolutionVersion as a reference.
    pub fn as_input(&self) -> &crate::operation::create_solution_version::builders::CreateSolutionVersionInputBuilder {
        &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_solution_version::CreateSolutionVersionOutput,
        ::aws_smithy_runtime_api::client::result::SdkError<
            crate::operation::create_solution_version::CreateSolutionVersionError,
            ::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_solution_version::CreateSolutionVersion::operation_runtime_plugins(
            self.handle.runtime_plugins.clone(),
            &self.handle.conf,
            self.config_override,
        );
        crate::operation::create_solution_version::CreateSolutionVersion::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_solution_version::CreateSolutionVersionOutput,
        crate::operation::create_solution_version::CreateSolutionVersionError,
        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>The name of the solution version.</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 solution version.</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 solution version.</p>
    pub fn get_name(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_name()
    }
    /// <p>The Amazon Resource Name (ARN) of the solution containing the training configuration information.</p>
    pub fn solution_arn(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.solution_arn(input.into());
        self
    }
    /// <p>The Amazon Resource Name (ARN) of the solution containing the training configuration information.</p>
    pub fn set_solution_arn(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_solution_arn(input);
        self
    }
    /// <p>The Amazon Resource Name (ARN) of the solution containing the training configuration information.</p>
    pub fn get_solution_arn(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_solution_arn()
    }
    /// <p>The scope of training to be performed when creating the solution version. The default is <code>FULL</code>. This creates a completely new model based on the entirety of the training data from the datasets in your dataset group.</p>
    /// <p>If you use <a href="https://docs.aws.amazon.com/personalize/latest/dg/native-recipe-new-item-USER_PERSONALIZATION.html">User-Personalization</a>, you can specify a training mode of <code>UPDATE</code>. This updates the model to consider new items for recommendations. It is not a full retraining. You should still complete a full retraining weekly. If you specify <code>UPDATE</code>, Amazon Personalize will stop automatic updates for the solution version. To resume updates, create a new solution with training mode set to <code>FULL</code> and deploy it in a campaign. For more information about automatic updates, see <a href="https://docs.aws.amazon.com/personalize/latest/dg/use-case-recipe-features.html#maintaining-with-automatic-updates">Automatic updates</a>.</p>
    /// <p>The <code>UPDATE</code> option can only be used when you already have an active solution version created from the input solution using the <code>FULL</code> option and the input solution was trained with the <a href="https://docs.aws.amazon.com/personalize/latest/dg/native-recipe-new-item-USER_PERSONALIZATION.html">User-Personalization</a> recipe or the legacy <a href="https://docs.aws.amazon.com/personalize/latest/dg/native-recipe-hrnn-coldstart.html">HRNN-Coldstart</a> recipe.</p>
    pub fn training_mode(mut self, input: crate::types::TrainingMode) -> Self {
        self.inner = self.inner.training_mode(input);
        self
    }
    /// <p>The scope of training to be performed when creating the solution version. The default is <code>FULL</code>. This creates a completely new model based on the entirety of the training data from the datasets in your dataset group.</p>
    /// <p>If you use <a href="https://docs.aws.amazon.com/personalize/latest/dg/native-recipe-new-item-USER_PERSONALIZATION.html">User-Personalization</a>, you can specify a training mode of <code>UPDATE</code>. This updates the model to consider new items for recommendations. It is not a full retraining. You should still complete a full retraining weekly. If you specify <code>UPDATE</code>, Amazon Personalize will stop automatic updates for the solution version. To resume updates, create a new solution with training mode set to <code>FULL</code> and deploy it in a campaign. For more information about automatic updates, see <a href="https://docs.aws.amazon.com/personalize/latest/dg/use-case-recipe-features.html#maintaining-with-automatic-updates">Automatic updates</a>.</p>
    /// <p>The <code>UPDATE</code> option can only be used when you already have an active solution version created from the input solution using the <code>FULL</code> option and the input solution was trained with the <a href="https://docs.aws.amazon.com/personalize/latest/dg/native-recipe-new-item-USER_PERSONALIZATION.html">User-Personalization</a> recipe or the legacy <a href="https://docs.aws.amazon.com/personalize/latest/dg/native-recipe-hrnn-coldstart.html">HRNN-Coldstart</a> recipe.</p>
    pub fn set_training_mode(mut self, input: ::std::option::Option<crate::types::TrainingMode>) -> Self {
        self.inner = self.inner.set_training_mode(input);
        self
    }
    /// <p>The scope of training to be performed when creating the solution version. The default is <code>FULL</code>. This creates a completely new model based on the entirety of the training data from the datasets in your dataset group.</p>
    /// <p>If you use <a href="https://docs.aws.amazon.com/personalize/latest/dg/native-recipe-new-item-USER_PERSONALIZATION.html">User-Personalization</a>, you can specify a training mode of <code>UPDATE</code>. This updates the model to consider new items for recommendations. It is not a full retraining. You should still complete a full retraining weekly. If you specify <code>UPDATE</code>, Amazon Personalize will stop automatic updates for the solution version. To resume updates, create a new solution with training mode set to <code>FULL</code> and deploy it in a campaign. For more information about automatic updates, see <a href="https://docs.aws.amazon.com/personalize/latest/dg/use-case-recipe-features.html#maintaining-with-automatic-updates">Automatic updates</a>.</p>
    /// <p>The <code>UPDATE</code> option can only be used when you already have an active solution version created from the input solution using the <code>FULL</code> option and the input solution was trained with the <a href="https://docs.aws.amazon.com/personalize/latest/dg/native-recipe-new-item-USER_PERSONALIZATION.html">User-Personalization</a> recipe or the legacy <a href="https://docs.aws.amazon.com/personalize/latest/dg/native-recipe-hrnn-coldstart.html">HRNN-Coldstart</a> recipe.</p>
    pub fn get_training_mode(&self) -> &::std::option::Option<crate::types::TrainingMode> {
        self.inner.get_training_mode()
    }
    /// 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 solution version.</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 solution version.</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 solution version.</p>
    pub fn get_tags(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::Tag>> {
        self.inner.get_tags()
    }
}