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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;
impl CreateEndpointInputBuilder {
/// 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_endpoint::CreateEndpointOutput,
::aws_smithy_http::result::SdkError<
crate::operation::create_endpoint::CreateEndpointError,
::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
>,
> {
let mut fluent_builder = client.create_endpoint();
fluent_builder.inner = self;
fluent_builder.send().await
}
}
/// Fluent builder constructing a request to `CreateEndpoint`.
///
/// <p>Creates an endpoint using the endpoint configuration specified in the request. SageMaker uses the endpoint to provision resources and deploy models. You create the endpoint configuration with the <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateEndpointConfig.html">CreateEndpointConfig</a> API. </p>
/// <p> Use this API to deploy models using SageMaker hosting services. </p>
/// <p>For an example that calls this method when deploying a model to SageMaker hosting services, see the <a href="https://github.com/aws/amazon-sagemaker-examples/blob/master/sagemaker-fundamentals/create-endpoint/create_endpoint.ipynb">Create Endpoint example notebook.</a> </p> <note>
/// <p> You must not delete an <code>EndpointConfig</code> that is in use by an endpoint that is live or while the <code>UpdateEndpoint</code> or <code>CreateEndpoint</code> operations are being performed on the endpoint. To update an endpoint, you must create a new <code>EndpointConfig</code>.</p>
/// </note>
/// <p>The endpoint name must be unique within an Amazon Web Services Region in your Amazon Web Services account. </p>
/// <p>When it receives the request, SageMaker creates the endpoint, launches the resources (ML compute instances), and deploys the model(s) on them. </p> <note>
/// <p>When you call <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateEndpoint.html">CreateEndpoint</a>, a load call is made to DynamoDB to verify that your endpoint configuration exists. When you read data from a DynamoDB table supporting <a href="https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/HowItWorks.ReadConsistency.html"> <code>Eventually Consistent Reads</code> </a>, the response might not reflect the results of a recently completed write operation. The response might include some stale data. If the dependent entities are not yet in DynamoDB, this causes a validation error. If you repeat your read request after a short time, the response should return the latest data. So retry logic is recommended to handle these possible issues. We also recommend that customers call <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeEndpointConfig.html">DescribeEndpointConfig</a> before calling <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateEndpoint.html">CreateEndpoint</a> to minimize the potential impact of a DynamoDB eventually consistent read.</p>
/// </note>
/// <p>When SageMaker receives the request, it sets the endpoint status to <code>Creating</code>. After it creates the endpoint, it sets the status to <code>InService</code>. SageMaker can then process incoming requests for inferences. To check the status of an endpoint, use the <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeEndpoint.html">DescribeEndpoint</a> API.</p>
/// <p>If any of the models hosted at this endpoint get model data from an Amazon S3 location, SageMaker uses Amazon Web Services Security Token Service to download model artifacts from the S3 path you provided. Amazon Web Services STS is activated in your Amazon Web Services account by default. If you previously deactivated Amazon Web Services STS for a region, you need to reactivate Amazon Web Services STS for that region. For more information, see <a href="https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_temp_enable-regions.html">Activating and Deactivating Amazon Web Services STS in an Amazon Web Services Region</a> in the <i>Amazon Web Services Identity and Access Management User Guide</i>.</p> <note>
/// <p> To add the IAM role policies for using this API operation, go to the <a href="https://console.aws.amazon.com/iam/">IAM console</a>, and choose Roles in the left navigation pane. Search the IAM role that you want to grant access to use the <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateEndpoint.html">CreateEndpoint</a> and <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateEndpointConfig.html">CreateEndpointConfig</a> API operations, add the following policies to the role. </p>
/// <ul>
/// <li> <p>Option 1: For a full SageMaker access, search and attach the <code>AmazonSageMakerFullAccess</code> policy.</p> </li>
/// <li> <p>Option 2: For granting a limited access to an IAM role, paste the following Action elements manually into the JSON file of the IAM role: </p> <p> <code>"Action": ["sagemaker:CreateEndpoint", "sagemaker:CreateEndpointConfig"]</code> </p> <p> <code>"Resource": [</code> </p> <p> <code>"arn:aws:sagemaker:region:account-id:endpoint/endpointName"</code> </p> <p> <code>"arn:aws:sagemaker:region:account-id:endpoint-config/endpointConfigName"</code> </p> <p> <code>]</code> </p> <p>For more information, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/api-permissions-reference.html">SageMaker API Permissions: Actions, Permissions, and Resources Reference</a>.</p> </li>
/// </ul>
/// </note>
#[derive(::std::clone::Clone, ::std::fmt::Debug)]
pub struct CreateEndpointFluentBuilder {
handle: ::std::sync::Arc<crate::client::Handle>,
inner: crate::operation::create_endpoint::builders::CreateEndpointInputBuilder,
config_override: ::std::option::Option<crate::config::Builder>,
}
impl CreateEndpointFluentBuilder {
/// Creates a new `CreateEndpoint`.
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 CreateEndpoint as a reference.
pub fn as_input(&self) -> &crate::operation::create_endpoint::builders::CreateEndpointInputBuilder {
&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_endpoint::CreateEndpointOutput,
::aws_smithy_http::result::SdkError<
crate::operation::create_endpoint::CreateEndpointError,
::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
>,
> {
let input = self.inner.build().map_err(::aws_smithy_http::result::SdkError::construction_failure)?;
let runtime_plugins = crate::operation::create_endpoint::CreateEndpoint::operation_runtime_plugins(
self.handle.runtime_plugins.clone(),
&self.handle.conf,
self.config_override,
);
crate::operation::create_endpoint::CreateEndpoint::orchestrate(&runtime_plugins, input).await
}
/// Consumes this builder, creating a customizable operation that can be modified before being
/// sent.
// TODO(enableNewSmithyRuntimeCleanup): Remove `async` and `Result` once we switch to orchestrator
pub async fn customize(
self,
) -> ::std::result::Result<
crate::client::customize::orchestrator::CustomizableOperation<
crate::operation::create_endpoint::CreateEndpointOutput,
crate::operation::create_endpoint::CreateEndpointError,
>,
::aws_smithy_http::result::SdkError<crate::operation::create_endpoint::CreateEndpointError>,
> {
::std::result::Result::Ok(crate::client::customize::orchestrator::CustomizableOperation {
customizable_send: ::std::boxed::Box::new(move |config_override| {
::std::boxed::Box::pin(async { self.config_override(config_override).send().await })
}),
config_override: None,
interceptors: vec![],
runtime_plugins: vec![],
})
}
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 endpoint.The name must be unique within an Amazon Web Services Region in your Amazon Web Services account. The name is case-insensitive in <code>CreateEndpoint</code>, but the case is preserved and must be matched in <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_runtime_InvokeEndpoint.html">InvokeEndpoint</a>.</p>
pub fn endpoint_name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.endpoint_name(input.into());
self
}
/// <p>The name of the endpoint.The name must be unique within an Amazon Web Services Region in your Amazon Web Services account. The name is case-insensitive in <code>CreateEndpoint</code>, but the case is preserved and must be matched in <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_runtime_InvokeEndpoint.html">InvokeEndpoint</a>.</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 name of the endpoint.The name must be unique within an Amazon Web Services Region in your Amazon Web Services account. The name is case-insensitive in <code>CreateEndpoint</code>, but the case is preserved and must be matched in <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_runtime_InvokeEndpoint.html">InvokeEndpoint</a>.</p>
pub fn get_endpoint_name(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_endpoint_name()
}
/// <p>The name of an endpoint configuration. For more information, see <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateEndpointConfig.html">CreateEndpointConfig</a>. </p>
pub fn endpoint_config_name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.endpoint_config_name(input.into());
self
}
/// <p>The name of an endpoint configuration. For more information, see <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateEndpointConfig.html">CreateEndpointConfig</a>. </p>
pub fn set_endpoint_config_name(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.inner = self.inner.set_endpoint_config_name(input);
self
}
/// <p>The name of an endpoint configuration. For more information, see <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateEndpointConfig.html">CreateEndpointConfig</a>. </p>
pub fn get_endpoint_config_name(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_endpoint_config_name()
}
/// <p>The deployment configuration for an endpoint, which contains the desired deployment strategy and rollback configurations.</p>
pub fn deployment_config(mut self, input: crate::types::DeploymentConfig) -> Self {
self.inner = self.inner.deployment_config(input);
self
}
/// <p>The deployment configuration for an endpoint, which contains the desired deployment strategy and rollback configurations.</p>
pub fn set_deployment_config(mut self, input: ::std::option::Option<crate::types::DeploymentConfig>) -> Self {
self.inner = self.inner.set_deployment_config(input);
self
}
/// <p>The deployment configuration for an endpoint, which contains the desired deployment strategy and rollback configurations.</p>
pub fn get_deployment_config(&self) -> &::std::option::Option<crate::types::DeploymentConfig> {
self.inner.get_deployment_config()
}
/// Appends an item to `Tags`.
///
/// To override the contents of this collection use [`set_tags`](Self::set_tags).
///
/// <p>An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see <a href="https://docs.aws.amazon.com/general/latest/gr/aws_tagging.html">Tagging Amazon Web Services Resources</a>.</p>
pub fn tags(mut self, input: crate::types::Tag) -> Self {
self.inner = self.inner.tags(input);
self
}
/// <p>An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see <a href="https://docs.aws.amazon.com/general/latest/gr/aws_tagging.html">Tagging Amazon Web Services Resources</a>.</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>An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see <a href="https://docs.aws.amazon.com/general/latest/gr/aws_tagging.html">Tagging Amazon Web Services Resources</a>.</p>
pub fn get_tags(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::Tag>> {
self.inner.get_tags()
}
}