aws_sdk_sagemaker/operation/get_scaling_configuration_recommendation/
builders.rs

1// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
2pub use crate::operation::get_scaling_configuration_recommendation::_get_scaling_configuration_recommendation_output::GetScalingConfigurationRecommendationOutputBuilder;
3
4pub use crate::operation::get_scaling_configuration_recommendation::_get_scaling_configuration_recommendation_input::GetScalingConfigurationRecommendationInputBuilder;
5
6impl crate::operation::get_scaling_configuration_recommendation::builders::GetScalingConfigurationRecommendationInputBuilder {
7    /// Sends a request with this input using the given client.
8    pub async fn send_with(
9        self,
10        client: &crate::Client,
11    ) -> ::std::result::Result<
12        crate::operation::get_scaling_configuration_recommendation::GetScalingConfigurationRecommendationOutput,
13        ::aws_smithy_runtime_api::client::result::SdkError<
14            crate::operation::get_scaling_configuration_recommendation::GetScalingConfigurationRecommendationError,
15            ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
16        >,
17    > {
18        let mut fluent_builder = client.get_scaling_configuration_recommendation();
19        fluent_builder.inner = self;
20        fluent_builder.send().await
21    }
22}
23/// Fluent builder constructing a request to `GetScalingConfigurationRecommendation`.
24///
25/// <p>Starts an Amazon SageMaker Inference Recommender autoscaling recommendation job. Returns recommendations for autoscaling policies that you can apply to your SageMaker endpoint.</p>
26#[derive(::std::clone::Clone, ::std::fmt::Debug)]
27pub struct GetScalingConfigurationRecommendationFluentBuilder {
28    handle: ::std::sync::Arc<crate::client::Handle>,
29    inner: crate::operation::get_scaling_configuration_recommendation::builders::GetScalingConfigurationRecommendationInputBuilder,
30    config_override: ::std::option::Option<crate::config::Builder>,
31}
32impl
33    crate::client::customize::internal::CustomizableSend<
34        crate::operation::get_scaling_configuration_recommendation::GetScalingConfigurationRecommendationOutput,
35        crate::operation::get_scaling_configuration_recommendation::GetScalingConfigurationRecommendationError,
36    > for GetScalingConfigurationRecommendationFluentBuilder
37{
38    fn send(
39        self,
40        config_override: crate::config::Builder,
41    ) -> crate::client::customize::internal::BoxFuture<
42        crate::client::customize::internal::SendResult<
43            crate::operation::get_scaling_configuration_recommendation::GetScalingConfigurationRecommendationOutput,
44            crate::operation::get_scaling_configuration_recommendation::GetScalingConfigurationRecommendationError,
45        >,
46    > {
47        ::std::boxed::Box::pin(async move { self.config_override(config_override).send().await })
48    }
49}
50impl GetScalingConfigurationRecommendationFluentBuilder {
51    /// Creates a new `GetScalingConfigurationRecommendationFluentBuilder`.
52    pub(crate) fn new(handle: ::std::sync::Arc<crate::client::Handle>) -> Self {
53        Self {
54            handle,
55            inner: ::std::default::Default::default(),
56            config_override: ::std::option::Option::None,
57        }
58    }
59    /// Access the GetScalingConfigurationRecommendation as a reference.
60    pub fn as_input(
61        &self,
62    ) -> &crate::operation::get_scaling_configuration_recommendation::builders::GetScalingConfigurationRecommendationInputBuilder {
63        &self.inner
64    }
65    /// Sends the request and returns the response.
66    ///
67    /// If an error occurs, an `SdkError` will be returned with additional details that
68    /// can be matched against.
69    ///
70    /// By default, any retryable failures will be retried twice. Retry behavior
71    /// is configurable with the [RetryConfig](aws_smithy_types::retry::RetryConfig), which can be
72    /// set when configuring the client.
73    pub async fn send(
74        self,
75    ) -> ::std::result::Result<
76        crate::operation::get_scaling_configuration_recommendation::GetScalingConfigurationRecommendationOutput,
77        ::aws_smithy_runtime_api::client::result::SdkError<
78            crate::operation::get_scaling_configuration_recommendation::GetScalingConfigurationRecommendationError,
79            ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
80        >,
81    > {
82        let input = self
83            .inner
84            .build()
85            .map_err(::aws_smithy_runtime_api::client::result::SdkError::construction_failure)?;
86        let runtime_plugins =
87            crate::operation::get_scaling_configuration_recommendation::GetScalingConfigurationRecommendation::operation_runtime_plugins(
88                self.handle.runtime_plugins.clone(),
89                &self.handle.conf,
90                self.config_override,
91            );
92        crate::operation::get_scaling_configuration_recommendation::GetScalingConfigurationRecommendation::orchestrate(&runtime_plugins, input).await
93    }
94
95    /// Consumes this builder, creating a customizable operation that can be modified before being sent.
96    pub fn customize(
97        self,
98    ) -> crate::client::customize::CustomizableOperation<
99        crate::operation::get_scaling_configuration_recommendation::GetScalingConfigurationRecommendationOutput,
100        crate::operation::get_scaling_configuration_recommendation::GetScalingConfigurationRecommendationError,
101        Self,
102    > {
103        crate::client::customize::CustomizableOperation::new(self)
104    }
105    pub(crate) fn config_override(mut self, config_override: impl ::std::convert::Into<crate::config::Builder>) -> Self {
106        self.set_config_override(::std::option::Option::Some(config_override.into()));
107        self
108    }
109
110    pub(crate) fn set_config_override(&mut self, config_override: ::std::option::Option<crate::config::Builder>) -> &mut Self {
111        self.config_override = config_override;
112        self
113    }
114    /// <p>The name of a previously completed Inference Recommender job.</p>
115    pub fn inference_recommendations_job_name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
116        self.inner = self.inner.inference_recommendations_job_name(input.into());
117        self
118    }
119    /// <p>The name of a previously completed Inference Recommender job.</p>
120    pub fn set_inference_recommendations_job_name(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
121        self.inner = self.inner.set_inference_recommendations_job_name(input);
122        self
123    }
124    /// <p>The name of a previously completed Inference Recommender job.</p>
125    pub fn get_inference_recommendations_job_name(&self) -> &::std::option::Option<::std::string::String> {
126        self.inner.get_inference_recommendations_job_name()
127    }
128    /// <p>The recommendation ID of a previously completed inference recommendation. This ID should come from one of the recommendations returned by the job specified in the <code>InferenceRecommendationsJobName</code> field.</p>
129    /// <p>Specify either this field or the <code>EndpointName</code> field.</p>
130    pub fn recommendation_id(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
131        self.inner = self.inner.recommendation_id(input.into());
132        self
133    }
134    /// <p>The recommendation ID of a previously completed inference recommendation. This ID should come from one of the recommendations returned by the job specified in the <code>InferenceRecommendationsJobName</code> field.</p>
135    /// <p>Specify either this field or the <code>EndpointName</code> field.</p>
136    pub fn set_recommendation_id(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
137        self.inner = self.inner.set_recommendation_id(input);
138        self
139    }
140    /// <p>The recommendation ID of a previously completed inference recommendation. This ID should come from one of the recommendations returned by the job specified in the <code>InferenceRecommendationsJobName</code> field.</p>
141    /// <p>Specify either this field or the <code>EndpointName</code> field.</p>
142    pub fn get_recommendation_id(&self) -> &::std::option::Option<::std::string::String> {
143        self.inner.get_recommendation_id()
144    }
145    /// <p>The name of an endpoint benchmarked during a previously completed inference recommendation job. This name should come from one of the recommendations returned by the job specified in the <code>InferenceRecommendationsJobName</code> field.</p>
146    /// <p>Specify either this field or the <code>RecommendationId</code> field.</p>
147    pub fn endpoint_name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
148        self.inner = self.inner.endpoint_name(input.into());
149        self
150    }
151    /// <p>The name of an endpoint benchmarked during a previously completed inference recommendation job. This name should come from one of the recommendations returned by the job specified in the <code>InferenceRecommendationsJobName</code> field.</p>
152    /// <p>Specify either this field or the <code>RecommendationId</code> field.</p>
153    pub fn set_endpoint_name(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
154        self.inner = self.inner.set_endpoint_name(input);
155        self
156    }
157    /// <p>The name of an endpoint benchmarked during a previously completed inference recommendation job. This name should come from one of the recommendations returned by the job specified in the <code>InferenceRecommendationsJobName</code> field.</p>
158    /// <p>Specify either this field or the <code>RecommendationId</code> field.</p>
159    pub fn get_endpoint_name(&self) -> &::std::option::Option<::std::string::String> {
160        self.inner.get_endpoint_name()
161    }
162    /// <p>The percentage of how much utilization you want an instance to use before autoscaling. The default value is 50%.</p>
163    pub fn target_cpu_utilization_per_core(mut self, input: i32) -> Self {
164        self.inner = self.inner.target_cpu_utilization_per_core(input);
165        self
166    }
167    /// <p>The percentage of how much utilization you want an instance to use before autoscaling. The default value is 50%.</p>
168    pub fn set_target_cpu_utilization_per_core(mut self, input: ::std::option::Option<i32>) -> Self {
169        self.inner = self.inner.set_target_cpu_utilization_per_core(input);
170        self
171    }
172    /// <p>The percentage of how much utilization you want an instance to use before autoscaling. The default value is 50%.</p>
173    pub fn get_target_cpu_utilization_per_core(&self) -> &::std::option::Option<i32> {
174        self.inner.get_target_cpu_utilization_per_core()
175    }
176    /// <p>An object where you specify the anticipated traffic pattern for an endpoint.</p>
177    pub fn scaling_policy_objective(mut self, input: crate::types::ScalingPolicyObjective) -> Self {
178        self.inner = self.inner.scaling_policy_objective(input);
179        self
180    }
181    /// <p>An object where you specify the anticipated traffic pattern for an endpoint.</p>
182    pub fn set_scaling_policy_objective(mut self, input: ::std::option::Option<crate::types::ScalingPolicyObjective>) -> Self {
183        self.inner = self.inner.set_scaling_policy_objective(input);
184        self
185    }
186    /// <p>An object where you specify the anticipated traffic pattern for an endpoint.</p>
187    pub fn get_scaling_policy_objective(&self) -> &::std::option::Option<crate::types::ScalingPolicyObjective> {
188        self.inner.get_scaling_policy_objective()
189    }
190}
aws_sdk_sagemaker/operation/get_scaling_configuration_recommendation/builders.rs

aws_sdk_sagemaker/operation/get_scaling_configuration_recommendation/
builders.rs
