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// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub use crate::operation::create_endpoint::_create_endpoint_output::CreateEndpointOutputBuilder;
pub use crate::operation::create_endpoint::_create_endpoint_input::CreateEndpointInputBuilder;
/// Fluent builder constructing a request to `CreateEndpoint`.
///
/// <p>Creates a model-specific endpoint for synchronous inference for a previously trained custom model For information about endpoints, see <a href="https://docs.aws.amazon.com/comprehend/latest/dg/manage-endpoints.html">Managing endpoints</a>.</p>
#[derive(std::clone::Clone, std::fmt::Debug)]
pub struct CreateEndpointFluentBuilder {
handle: std::sync::Arc<crate::client::Handle>,
inner: crate::operation::create_endpoint::builders::CreateEndpointInputBuilder,
}
impl CreateEndpointFluentBuilder {
/// Creates a new `CreateEndpoint`.
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_endpoint::CreateEndpoint,
aws_http::retry::AwsResponseRetryClassifier,
>,
aws_smithy_http::result::SdkError<crate::operation::create_endpoint::CreateEndpointError>,
> {
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_endpoint::CreateEndpointOutput,
aws_smithy_http::result::SdkError<crate::operation::create_endpoint::CreateEndpointError>,
> {
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>This is the descriptive suffix that becomes part of the <code>EndpointArn</code> used for all subsequent requests to this resource. </p>
pub fn endpoint_name(mut self, input: impl Into<std::string::String>) -> Self {
self.inner = self.inner.endpoint_name(input.into());
self
}
/// <p>This is the descriptive suffix that becomes part of the <code>EndpointArn</code> used for all subsequent requests to this resource. </p>
pub fn set_endpoint_name(mut self, input: std::option::Option<std::string::String>) -> Self {
self.inner = self.inner.set_endpoint_name(input);
self
}
/// <p>The Amazon Resource Number (ARN) of the model to which the endpoint will be attached.</p>
pub fn model_arn(mut self, input: impl Into<std::string::String>) -> Self {
self.inner = self.inner.model_arn(input.into());
self
}
/// <p>The Amazon Resource Number (ARN) of the model to which the endpoint will be attached.</p>
pub fn set_model_arn(mut self, input: std::option::Option<std::string::String>) -> Self {
self.inner = self.inner.set_model_arn(input);
self
}
/// <p> The desired number of inference units to be used by the model using this endpoint. Each inference unit represents of a throughput of 100 characters per second.</p>
pub fn desired_inference_units(mut self, input: i32) -> Self {
self.inner = self.inner.desired_inference_units(input);
self
}
/// <p> The desired number of inference units to be used by the model using this endpoint. Each inference unit represents of a throughput of 100 characters per second.</p>
pub fn set_desired_inference_units(mut self, input: std::option::Option<i32>) -> Self {
self.inner = self.inner.set_desired_inference_units(input);
self
}
/// <p>An idempotency token provided by the customer. If this token matches a previous endpoint creation request, Amazon Comprehend will not return a <code>ResourceInUseException</code>. </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>An idempotency token provided by the customer. If this token matches a previous endpoint creation request, Amazon Comprehend will not return a <code>ResourceInUseException</code>. </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>Tags to associate with the endpoint. A tag is a key-value pair that adds metadata to the endpoint. For example, a tag with "Sales" as the key might be added to an endpoint to indicate its use by the sales department. </p>
pub fn tags(mut self, input: crate::types::Tag) -> Self {
self.inner = self.inner.tags(input);
self
}
/// <p>Tags to associate with the endpoint. A tag is a key-value pair that adds metadata to the endpoint. For example, a tag with "Sales" as the key might be added to an endpoint to indicate its use by the sales department. </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 Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to trained custom models encrypted with a customer managed key (ModelKmsKeyId).</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 read access to trained custom models encrypted with a customer managed key (ModelKmsKeyId).</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 Number (ARN) of the flywheel to which the endpoint will be attached.</p>
pub fn flywheel_arn(mut self, input: impl Into<std::string::String>) -> Self {
self.inner = self.inner.flywheel_arn(input.into());
self
}
/// <p>The Amazon Resource Number (ARN) of the flywheel to which the endpoint will be attached.</p>
pub fn set_flywheel_arn(mut self, input: std::option::Option<std::string::String>) -> Self {
self.inner = self.inner.set_flywheel_arn(input);
self
}
}