aws-sdk-sagemaker 1.198.0

// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub use crate::operation::update_inference_component::_update_inference_component_input::UpdateInferenceComponentInputBuilder;

pub use crate::operation::update_inference_component::_update_inference_component_output::UpdateInferenceComponentOutputBuilder;

impl crate::operation::update_inference_component::builders::UpdateInferenceComponentInputBuilder {
    /// Sends a request with this input using the given client.
    pub async fn send_with(
        self,
        client: &crate::Client,
    ) -> ::std::result::Result<
        crate::operation::update_inference_component::UpdateInferenceComponentOutput,
        ::aws_smithy_runtime_api::client::result::SdkError<
            crate::operation::update_inference_component::UpdateInferenceComponentError,
            ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
        >,
    > {
        let mut fluent_builder = client.update_inference_component();
        fluent_builder.inner = self;
        fluent_builder.send().await
    }
}
/// Fluent builder constructing a request to `UpdateInferenceComponent`.
///
/// <p>Updates an inference component.</p>
#[derive(::std::clone::Clone, ::std::fmt::Debug)]
pub struct UpdateInferenceComponentFluentBuilder {
    handle: ::std::sync::Arc<crate::client::Handle>,
    inner: crate::operation::update_inference_component::builders::UpdateInferenceComponentInputBuilder,
    config_override: ::std::option::Option<crate::config::Builder>,
}
impl
    crate::client::customize::internal::CustomizableSend<
        crate::operation::update_inference_component::UpdateInferenceComponentOutput,
        crate::operation::update_inference_component::UpdateInferenceComponentError,
    > for UpdateInferenceComponentFluentBuilder
{
    fn send(
        self,
        config_override: crate::config::Builder,
    ) -> crate::client::customize::internal::BoxFuture<
        crate::client::customize::internal::SendResult<
            crate::operation::update_inference_component::UpdateInferenceComponentOutput,
            crate::operation::update_inference_component::UpdateInferenceComponentError,
        >,
    > {
        ::std::boxed::Box::pin(async move { self.config_override(config_override).send().await })
    }
}
impl UpdateInferenceComponentFluentBuilder {
    /// Creates a new `UpdateInferenceComponentFluentBuilder`.
    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 UpdateInferenceComponent as a reference.
    pub fn as_input(&self) -> &crate::operation::update_inference_component::builders::UpdateInferenceComponentInputBuilder {
        &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::update_inference_component::UpdateInferenceComponentOutput,
        ::aws_smithy_runtime_api::client::result::SdkError<
            crate::operation::update_inference_component::UpdateInferenceComponentError,
            ::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::update_inference_component::UpdateInferenceComponent::operation_runtime_plugins(
            self.handle.runtime_plugins.clone(),
            &self.handle.conf,
            self.config_override,
        );
        crate::operation::update_inference_component::UpdateInferenceComponent::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::update_inference_component::UpdateInferenceComponentOutput,
        crate::operation::update_inference_component::UpdateInferenceComponentError,
        Self,
    > {
        crate::client::customize::CustomizableOperation::new(self)
    }
    pub(crate) fn config_override(mut self, config_override: impl ::std::convert::Into<crate::config::Builder>) -> Self {
        self.set_config_override(::std::option::Option::Some(config_override.into()));
        self
    }

    pub(crate) fn set_config_override(&mut self, config_override: ::std::option::Option<crate::config::Builder>) -> &mut Self {
        self.config_override = config_override;
        self
    }
    /// <p>The name of the inference component.</p>
    pub fn inference_component_name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.inference_component_name(input.into());
        self
    }
    /// <p>The name of the inference component.</p>
    pub fn set_inference_component_name(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_inference_component_name(input);
        self
    }
    /// <p>The name of the inference component.</p>
    pub fn get_inference_component_name(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_inference_component_name()
    }
    /// <p>Details about the resources to deploy with this inference component, including the model, container, and compute resources.</p>
    pub fn specification(mut self, input: crate::types::InferenceComponentSpecification) -> Self {
        self.inner = self.inner.specification(input);
        self
    }
    /// <p>Details about the resources to deploy with this inference component, including the model, container, and compute resources.</p>
    pub fn set_specification(mut self, input: ::std::option::Option<crate::types::InferenceComponentSpecification>) -> Self {
        self.inner = self.inner.set_specification(input);
        self
    }
    /// <p>Details about the resources to deploy with this inference component, including the model, container, and compute resources.</p>
    pub fn get_specification(&self) -> &::std::option::Option<crate::types::InferenceComponentSpecification> {
        self.inner.get_specification()
    }
    ///
    /// Appends an item to `Specifications`.
    ///
    /// To override the contents of this collection use [`set_specifications`](Self::set_specifications).
    ///
    /// <p>A list of specification objects for the inference component, one per instance type. Use this parameter when you want to specify different model or resource configurations for the inference component on each instance type. You can use either this parameter or the singular <code>Specification</code> parameter, but not both.</p>
    pub fn specifications(mut self, input: crate::types::InferenceComponentSpecification) -> Self {
        self.inner = self.inner.specifications(input);
        self
    }
    /// <p>A list of specification objects for the inference component, one per instance type. Use this parameter when you want to specify different model or resource configurations for the inference component on each instance type. You can use either this parameter or the singular <code>Specification</code> parameter, but not both.</p>
    pub fn set_specifications(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::InferenceComponentSpecification>>) -> Self {
        self.inner = self.inner.set_specifications(input);
        self
    }
    /// <p>A list of specification objects for the inference component, one per instance type. Use this parameter when you want to specify different model or resource configurations for the inference component on each instance type. You can use either this parameter or the singular <code>Specification</code> parameter, but not both.</p>
    pub fn get_specifications(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::InferenceComponentSpecification>> {
        self.inner.get_specifications()
    }
    /// <p>Runtime settings for a model that is deployed with an inference component.</p>
    pub fn runtime_config(mut self, input: crate::types::InferenceComponentRuntimeConfig) -> Self {
        self.inner = self.inner.runtime_config(input);
        self
    }
    /// <p>Runtime settings for a model that is deployed with an inference component.</p>
    pub fn set_runtime_config(mut self, input: ::std::option::Option<crate::types::InferenceComponentRuntimeConfig>) -> Self {
        self.inner = self.inner.set_runtime_config(input);
        self
    }
    /// <p>Runtime settings for a model that is deployed with an inference component.</p>
    pub fn get_runtime_config(&self) -> &::std::option::Option<crate::types::InferenceComponentRuntimeConfig> {
        self.inner.get_runtime_config()
    }
    /// <p>The deployment configuration for the inference component. The configuration contains the desired deployment strategy and rollback settings.</p>
    pub fn deployment_config(mut self, input: crate::types::InferenceComponentDeploymentConfig) -> Self {
        self.inner = self.inner.deployment_config(input);
        self
    }
    /// <p>The deployment configuration for the inference component. The configuration contains the desired deployment strategy and rollback settings.</p>
    pub fn set_deployment_config(mut self, input: ::std::option::Option<crate::types::InferenceComponentDeploymentConfig>) -> Self {
        self.inner = self.inner.set_deployment_config(input);
        self
    }
    /// <p>The deployment configuration for the inference component. The configuration contains the desired deployment strategy and rollback settings.</p>
    pub fn get_deployment_config(&self) -> &::std::option::Option<crate::types::InferenceComponentDeploymentConfig> {
        self.inner.get_deployment_config()
    }
}