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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;
impl CreateFlywheelInputBuilder {
/// 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_flywheel::CreateFlywheelOutput,
::aws_smithy_runtime_api::client::result::SdkError<
crate::operation::create_flywheel::CreateFlywheelError,
::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
>,
> {
let mut fluent_builder = client.create_flywheel();
fluent_builder.inner = self;
fluent_builder.send().await
}
}
/// 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,
config_override: ::std::option::Option<crate::config::Builder>,
}
impl
crate::client::customize::internal::CustomizableSend<
crate::operation::create_flywheel::CreateFlywheelOutput,
crate::operation::create_flywheel::CreateFlywheelError,
> for CreateFlywheelFluentBuilder
{
fn send(
self,
config_override: crate::config::Builder,
) -> crate::client::customize::internal::BoxFuture<
crate::client::customize::internal::SendResult<
crate::operation::create_flywheel::CreateFlywheelOutput,
crate::operation::create_flywheel::CreateFlywheelError,
>,
> {
::std::boxed::Box::pin(async move { self.config_override(config_override).send().await })
}
}
impl CreateFlywheelFluentBuilder {
/// Creates a new `CreateFlywheel`.
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 CreateFlywheel as a reference.
pub fn as_input(&self) -> &crate::operation::create_flywheel::builders::CreateFlywheelInputBuilder {
&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_flywheel::CreateFlywheelOutput,
::aws_smithy_runtime_api::client::result::SdkError<
crate::operation::create_flywheel::CreateFlywheelError,
::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_flywheel::CreateFlywheel::operation_runtime_plugins(
self.handle.runtime_plugins.clone(),
&self.handle.conf,
self.config_override,
);
crate::operation::create_flywheel::CreateFlywheel::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_flywheel::CreateFlywheelOutput,
crate::operation::create_flywheel::CreateFlywheelError,
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>Name for the flywheel.</p>
pub fn flywheel_name(mut self, input: impl ::std::convert::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>Name for the flywheel.</p>
pub fn get_flywheel_name(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_flywheel_name()
}
/// <p>To associate an existing model with the flywheel, specify the Amazon Resource Number (ARN) of the model version. Do not set <code>TaskConfig</code> or <code>ModelType</code> if you specify an <code>ActiveModelArn</code>.</p>
pub fn active_model_arn(mut self, input: impl ::std::convert::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. Do not set <code>TaskConfig</code> or <code>ModelType</code> if you specify an <code>ActiveModelArn</code>.</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>To associate an existing model with the flywheel, specify the Amazon Resource Number (ARN) of the model version. Do not set <code>TaskConfig</code> or <code>ModelType</code> if you specify an <code>ActiveModelArn</code>.</p>
pub fn get_active_model_arn(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_active_model_arn()
}
/// <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 ::std::convert::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>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 get_data_access_role_arn(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_data_access_role_arn()
}
/// <p>Configuration about the model associated with the flywheel. You need to set <code>TaskConfig</code> if you are creating a flywheel for a new model.</p>
pub fn task_config(mut self, input: crate::types::TaskConfig) -> Self {
self.inner = self.inner.task_config(input);
self
}
/// <p>Configuration about the model associated with the flywheel. You need to set <code>TaskConfig</code> if you are creating a flywheel for a new model.</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>Configuration about the model associated with the flywheel. You need to set <code>TaskConfig</code> if you are creating a flywheel for a new model.</p>
pub fn get_task_config(&self) -> &::std::option::Option<crate::types::TaskConfig> {
self.inner.get_task_config()
}
/// <p>The model type. You need to set <code>ModelType</code> if you are creating a flywheel for a new model.</p>
pub fn model_type(mut self, input: crate::types::ModelType) -> Self {
self.inner = self.inner.model_type(input);
self
}
/// <p>The model type. You need to set <code>ModelType</code> if you are creating a flywheel for a new model.</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>The model type. You need to set <code>ModelType</code> if you are creating a flywheel for a new model.</p>
pub fn get_model_type(&self) -> &::std::option::Option<crate::types::ModelType> {
self.inner.get_model_type()
}
/// <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 ::std::convert::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>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 get_data_lake_s3_uri(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_data_lake_s3_uri()
}
/// <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>Data security configurations.</p>
pub fn get_data_security_config(&self) -> &::std::option::Option<crate::types::DataSecurityConfig> {
self.inner.get_data_security_config()
}
/// <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 ::std::convert::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
}
/// <p>A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.</p>
pub fn get_client_request_token(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_client_request_token()
}
/// 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
}
/// <p>The tags to associate with this flywheel.</p>
pub fn get_tags(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::Tag>> {
self.inner.get_tags()
}
}