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// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub use crate::operation::create_flywheel::_create_flywheel_output::CreateFlywheelOutputBuilder;

pub use crate::operation::create_flywheel::_create_flywheel_input::CreateFlywheelInputBuilder;

/// Fluent builder constructing a request to `CreateFlywheel`.
///
/// <p>A flywheel is an Amazon Web Services resource that orchestrates the ongoing training of a model for custom classification or custom entity recognition. You can create a flywheel to start with an existing trained model, or Comprehend can create and train a new model.</p>
/// <p>When you create the flywheel, Comprehend creates a data lake in your account. The data lake holds the training data and test data for all versions of the model.</p>
/// <p>To use a flywheel with an existing trained model, you specify the active model version. Comprehend copies the model's training data and test data into the flywheel's data lake.</p>
/// <p>To use the flywheel with a new model, you need to provide a dataset for training data (and optional test data) when you create the flywheel.</p>
/// <p>For more information about flywheels, see <a href="https://docs.aws.amazon.com/comprehend/latest/dg/flywheels-about.html"> Flywheel overview</a> in the <i>Amazon Comprehend Developer Guide</i>.</p>
#[derive(std::clone::Clone, std::fmt::Debug)]
pub struct CreateFlywheelFluentBuilder {
    handle: std::sync::Arc<crate::client::Handle>,
    inner: crate::operation::create_flywheel::builders::CreateFlywheelInputBuilder,
}
impl CreateFlywheelFluentBuilder {
    /// Creates a new `CreateFlywheel`.
    pub(crate) fn new(handle: std::sync::Arc<crate::client::Handle>) -> Self {
        Self {
            handle,
            inner: Default::default(),
        }
    }

    /// Consume this builder, creating a customizable operation that can be modified before being
    /// sent. The operation's inner [http::Request] can be modified as well.
    pub async fn customize(
        self,
    ) -> std::result::Result<
        crate::client::customize::CustomizableOperation<
            crate::operation::create_flywheel::CreateFlywheel,
            aws_http::retry::AwsResponseRetryClassifier,
        >,
        aws_smithy_http::result::SdkError<crate::operation::create_flywheel::CreateFlywheelError>,
    > {
        let handle = self.handle.clone();
        let operation = self
            .inner
            .build()
            .map_err(aws_smithy_http::result::SdkError::construction_failure)?
            .make_operation(&handle.conf)
            .await
            .map_err(aws_smithy_http::result::SdkError::construction_failure)?;
        Ok(crate::client::customize::CustomizableOperation { handle, operation })
    }

    /// 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_flywheel::CreateFlywheelOutput,
        aws_smithy_http::result::SdkError<crate::operation::create_flywheel::CreateFlywheelError>,
    > {
        let op = self
            .inner
            .build()
            .map_err(aws_smithy_http::result::SdkError::construction_failure)?
            .make_operation(&self.handle.conf)
            .await
            .map_err(aws_smithy_http::result::SdkError::construction_failure)?;
        self.handle.client.call(op).await
    }
    /// <p>Name for the flywheel.</p>
    pub fn flywheel_name(mut self, input: impl Into<std::string::String>) -> Self {
        self.inner = self.inner.flywheel_name(input.into());
        self
    }
    /// <p>Name for the flywheel.</p>
    pub fn set_flywheel_name(mut self, input: std::option::Option<std::string::String>) -> Self {
        self.inner = self.inner.set_flywheel_name(input);
        self
    }
    /// <p>To associate an existing model with the flywheel, specify the Amazon Resource Number (ARN) of the model version.</p>
    pub fn active_model_arn(mut self, input: impl Into<std::string::String>) -> Self {
        self.inner = self.inner.active_model_arn(input.into());
        self
    }
    /// <p>To associate an existing model with the flywheel, specify the Amazon Resource Number (ARN) of the model version.</p>
    pub fn set_active_model_arn(mut self, input: std::option::Option<std::string::String>) -> Self {
        self.inner = self.inner.set_active_model_arn(input);
        self
    }
    /// <p>The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend the permissions required to access the flywheel data in the data lake.</p>
    pub fn data_access_role_arn(mut self, input: impl Into<std::string::String>) -> Self {
        self.inner = self.inner.data_access_role_arn(input.into());
        self
    }
    /// <p>The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend the permissions required to access the flywheel data in the data lake.</p>
    pub fn set_data_access_role_arn(
        mut self,
        input: std::option::Option<std::string::String>,
    ) -> Self {
        self.inner = self.inner.set_data_access_role_arn(input);
        self
    }
    /// <p>Configuration about the custom classifier associated with the flywheel.</p>
    pub fn task_config(mut self, input: crate::types::TaskConfig) -> Self {
        self.inner = self.inner.task_config(input);
        self
    }
    /// <p>Configuration about the custom classifier associated with the flywheel.</p>
    pub fn set_task_config(mut self, input: std::option::Option<crate::types::TaskConfig>) -> Self {
        self.inner = self.inner.set_task_config(input);
        self
    }
    /// <p>The model type.</p>
    pub fn model_type(mut self, input: crate::types::ModelType) -> Self {
        self.inner = self.inner.model_type(input);
        self
    }
    /// <p>The model type.</p>
    pub fn set_model_type(mut self, input: std::option::Option<crate::types::ModelType>) -> Self {
        self.inner = self.inner.set_model_type(input);
        self
    }
    /// <p>Enter the S3 location for the data lake. You can specify a new S3 bucket or a new folder of an existing S3 bucket. The flywheel creates the data lake at this location.</p>
    pub fn data_lake_s3_uri(mut self, input: impl Into<std::string::String>) -> Self {
        self.inner = self.inner.data_lake_s3_uri(input.into());
        self
    }
    /// <p>Enter the S3 location for the data lake. You can specify a new S3 bucket or a new folder of an existing S3 bucket. The flywheel creates the data lake at this location.</p>
    pub fn set_data_lake_s3_uri(mut self, input: std::option::Option<std::string::String>) -> Self {
        self.inner = self.inner.set_data_lake_s3_uri(input);
        self
    }
    /// <p>Data security configurations.</p>
    pub fn data_security_config(mut self, input: crate::types::DataSecurityConfig) -> Self {
        self.inner = self.inner.data_security_config(input);
        self
    }
    /// <p>Data security configurations.</p>
    pub fn set_data_security_config(
        mut self,
        input: std::option::Option<crate::types::DataSecurityConfig>,
    ) -> Self {
        self.inner = self.inner.set_data_security_config(input);
        self
    }
    /// <p>A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.</p>
    pub fn client_request_token(mut self, input: impl Into<std::string::String>) -> Self {
        self.inner = self.inner.client_request_token(input.into());
        self
    }
    /// <p>A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.</p>
    pub fn set_client_request_token(
        mut self,
        input: std::option::Option<std::string::String>,
    ) -> Self {
        self.inner = self.inner.set_client_request_token(input);
        self
    }
    /// Appends an item to `Tags`.
    ///
    /// To override the contents of this collection use [`set_tags`](Self::set_tags).
    ///
    /// <p>The tags to associate with this flywheel.</p>
    pub fn tags(mut self, input: crate::types::Tag) -> Self {
        self.inner = self.inner.tags(input);
        self
    }
    /// <p>The tags to associate with this flywheel.</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
    }
}