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// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub use crate::operation::create_evaluation_job::_create_evaluation_job_input::CreateEvaluationJobInputBuilder;
pub use crate::operation::create_evaluation_job::_create_evaluation_job_output::CreateEvaluationJobOutputBuilder;
impl crate::operation::create_evaluation_job::builders::CreateEvaluationJobInputBuilder {
/// 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_evaluation_job::CreateEvaluationJobOutput,
::aws_smithy_runtime_api::client::result::SdkError<
crate::operation::create_evaluation_job::CreateEvaluationJobError,
::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
>,
> {
let mut fluent_builder = client.create_evaluation_job();
fluent_builder.inner = self;
fluent_builder.send().await
}
}
/// Fluent builder constructing a request to `CreateEvaluationJob`.
///
/// <p>Creates an evaluation job.</p>
#[derive(::std::clone::Clone, ::std::fmt::Debug)]
pub struct CreateEvaluationJobFluentBuilder {
handle: ::std::sync::Arc<crate::client::Handle>,
inner: crate::operation::create_evaluation_job::builders::CreateEvaluationJobInputBuilder,
config_override: ::std::option::Option<crate::config::Builder>,
}
impl
crate::client::customize::internal::CustomizableSend<
crate::operation::create_evaluation_job::CreateEvaluationJobOutput,
crate::operation::create_evaluation_job::CreateEvaluationJobError,
> for CreateEvaluationJobFluentBuilder
{
fn send(
self,
config_override: crate::config::Builder,
) -> crate::client::customize::internal::BoxFuture<
crate::client::customize::internal::SendResult<
crate::operation::create_evaluation_job::CreateEvaluationJobOutput,
crate::operation::create_evaluation_job::CreateEvaluationJobError,
>,
> {
::std::boxed::Box::pin(async move { self.config_override(config_override).send().await })
}
}
impl CreateEvaluationJobFluentBuilder {
/// Creates a new `CreateEvaluationJobFluentBuilder`.
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 CreateEvaluationJob as a reference.
pub fn as_input(&self) -> &crate::operation::create_evaluation_job::builders::CreateEvaluationJobInputBuilder {
&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_evaluation_job::CreateEvaluationJobOutput,
::aws_smithy_runtime_api::client::result::SdkError<
crate::operation::create_evaluation_job::CreateEvaluationJobError,
::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_evaluation_job::CreateEvaluationJob::operation_runtime_plugins(
self.handle.runtime_plugins.clone(),
&self.handle.conf,
self.config_override,
);
crate::operation::create_evaluation_job::CreateEvaluationJob::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_evaluation_job::CreateEvaluationJobOutput,
crate::operation::create_evaluation_job::CreateEvaluationJobError,
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>A name for the evaluation job. Names must unique with your Amazon Web Services account, and your account's Amazon Web Services region.</p>
pub fn job_name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.job_name(input.into());
self
}
/// <p>A name for the evaluation job. Names must unique with your Amazon Web Services account, and your account's Amazon Web Services region.</p>
pub fn set_job_name(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.inner = self.inner.set_job_name(input);
self
}
/// <p>A name for the evaluation job. Names must unique with your Amazon Web Services account, and your account's Amazon Web Services region.</p>
pub fn get_job_name(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_job_name()
}
/// <p>A description of the evaluation job.</p>
pub fn job_description(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.job_description(input.into());
self
}
/// <p>A description of the evaluation job.</p>
pub fn set_job_description(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.inner = self.inner.set_job_description(input);
self
}
/// <p>A description of the evaluation job.</p>
pub fn get_job_description(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_job_description()
}
/// <p>A unique, case-sensitive identifier to ensure that the API request completes no more than one time. If this token matches a previous request, Amazon Bedrock ignores the request, but does not return an error. For more information, see <a href="https://docs.aws.amazon.com/AWSEC2/latest/APIReference/Run_Instance_Idempotency.html">Ensuring idempotency</a>.</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, case-sensitive identifier to ensure that the API request completes no more than one time. If this token matches a previous request, Amazon Bedrock ignores the request, but does not return an error. For more information, see <a href="https://docs.aws.amazon.com/AWSEC2/latest/APIReference/Run_Instance_Idempotency.html">Ensuring idempotency</a>.</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, case-sensitive identifier to ensure that the API request completes no more than one time. If this token matches a previous request, Amazon Bedrock ignores the request, but does not return an error. For more information, see <a href="https://docs.aws.amazon.com/AWSEC2/latest/APIReference/Run_Instance_Idempotency.html">Ensuring idempotency</a>.</p>
pub fn get_client_request_token(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_client_request_token()
}
/// <p>The Amazon Resource Name (ARN) of an IAM service role that Amazon Bedrock can assume to perform tasks on your behalf. To learn more about the required permissions, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-evaluation-security.html">Required permissions for model evaluations</a>.</p>
pub fn role_arn(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.role_arn(input.into());
self
}
/// <p>The Amazon Resource Name (ARN) of an IAM service role that Amazon Bedrock can assume to perform tasks on your behalf. To learn more about the required permissions, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-evaluation-security.html">Required permissions for model evaluations</a>.</p>
pub fn set_role_arn(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.inner = self.inner.set_role_arn(input);
self
}
/// <p>The Amazon Resource Name (ARN) of an IAM service role that Amazon Bedrock can assume to perform tasks on your behalf. To learn more about the required permissions, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-evaluation-security.html">Required permissions for model evaluations</a>.</p>
pub fn get_role_arn(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_role_arn()
}
/// <p>Specify your customer managed encryption key Amazon Resource Name (ARN) that will be used to encrypt your evaluation job.</p>
pub fn customer_encryption_key_id(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.customer_encryption_key_id(input.into());
self
}
/// <p>Specify your customer managed encryption key Amazon Resource Name (ARN) that will be used to encrypt your evaluation job.</p>
pub fn set_customer_encryption_key_id(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.inner = self.inner.set_customer_encryption_key_id(input);
self
}
/// <p>Specify your customer managed encryption key Amazon Resource Name (ARN) that will be used to encrypt your evaluation job.</p>
pub fn get_customer_encryption_key_id(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_customer_encryption_key_id()
}
///
/// Appends an item to `jobTags`.
///
/// To override the contents of this collection use [`set_job_tags`](Self::set_job_tags).
///
/// <p>Tags to attach to the model evaluation job.</p>
pub fn job_tags(mut self, input: crate::types::Tag) -> Self {
self.inner = self.inner.job_tags(input);
self
}
/// <p>Tags to attach to the model evaluation job.</p>
pub fn set_job_tags(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::Tag>>) -> Self {
self.inner = self.inner.set_job_tags(input);
self
}
/// <p>Tags to attach to the model evaluation job.</p>
pub fn get_job_tags(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::Tag>> {
self.inner.get_job_tags()
}
/// <p>Specifies whether the evaluation job is for evaluating a model or evaluating a knowledge base (retrieval and response generation).</p>
pub fn application_type(mut self, input: crate::types::ApplicationType) -> Self {
self.inner = self.inner.application_type(input);
self
}
/// <p>Specifies whether the evaluation job is for evaluating a model or evaluating a knowledge base (retrieval and response generation).</p>
pub fn set_application_type(mut self, input: ::std::option::Option<crate::types::ApplicationType>) -> Self {
self.inner = self.inner.set_application_type(input);
self
}
/// <p>Specifies whether the evaluation job is for evaluating a model or evaluating a knowledge base (retrieval and response generation).</p>
pub fn get_application_type(&self) -> &::std::option::Option<crate::types::ApplicationType> {
self.inner.get_application_type()
}
/// <p>Contains the configuration details of either an automated or human-based evaluation job.</p>
pub fn evaluation_config(mut self, input: crate::types::EvaluationConfig) -> Self {
self.inner = self.inner.evaluation_config(input);
self
}
/// <p>Contains the configuration details of either an automated or human-based evaluation job.</p>
pub fn set_evaluation_config(mut self, input: ::std::option::Option<crate::types::EvaluationConfig>) -> Self {
self.inner = self.inner.set_evaluation_config(input);
self
}
/// <p>Contains the configuration details of either an automated or human-based evaluation job.</p>
pub fn get_evaluation_config(&self) -> &::std::option::Option<crate::types::EvaluationConfig> {
self.inner.get_evaluation_config()
}
/// <p>Contains the configuration details of the inference model for the evaluation job.</p>
/// <p>For model evaluation jobs, automated jobs support a single model or <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/cross-region-inference.html">inference profile</a>, and jobs that use human workers support two models or inference profiles.</p>
pub fn inference_config(mut self, input: crate::types::EvaluationInferenceConfig) -> Self {
self.inner = self.inner.inference_config(input);
self
}
/// <p>Contains the configuration details of the inference model for the evaluation job.</p>
/// <p>For model evaluation jobs, automated jobs support a single model or <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/cross-region-inference.html">inference profile</a>, and jobs that use human workers support two models or inference profiles.</p>
pub fn set_inference_config(mut self, input: ::std::option::Option<crate::types::EvaluationInferenceConfig>) -> Self {
self.inner = self.inner.set_inference_config(input);
self
}
/// <p>Contains the configuration details of the inference model for the evaluation job.</p>
/// <p>For model evaluation jobs, automated jobs support a single model or <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/cross-region-inference.html">inference profile</a>, and jobs that use human workers support two models or inference profiles.</p>
pub fn get_inference_config(&self) -> &::std::option::Option<crate::types::EvaluationInferenceConfig> {
self.inner.get_inference_config()
}
/// <p>Contains the configuration details of the Amazon S3 bucket for storing the results of the evaluation job.</p>
pub fn output_data_config(mut self, input: crate::types::EvaluationOutputDataConfig) -> Self {
self.inner = self.inner.output_data_config(input);
self
}
/// <p>Contains the configuration details of the Amazon S3 bucket for storing the results of the evaluation job.</p>
pub fn set_output_data_config(mut self, input: ::std::option::Option<crate::types::EvaluationOutputDataConfig>) -> Self {
self.inner = self.inner.set_output_data_config(input);
self
}
/// <p>Contains the configuration details of the Amazon S3 bucket for storing the results of the evaluation job.</p>
pub fn get_output_data_config(&self) -> &::std::option::Option<crate::types::EvaluationOutputDataConfig> {
self.inner.get_output_data_config()
}
}