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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
}
}