aws-sdk-sagemaker 1.196.0

// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub use crate::operation::create_processing_job::_create_processing_job_input::CreateProcessingJobInputBuilder;

pub use crate::operation::create_processing_job::_create_processing_job_output::CreateProcessingJobOutputBuilder;

impl crate::operation::create_processing_job::builders::CreateProcessingJobInputBuilder {
    /// 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_processing_job::CreateProcessingJobOutput,
        ::aws_smithy_runtime_api::client::result::SdkError<
            crate::operation::create_processing_job::CreateProcessingJobError,
            ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
        >,
    > {
        let mut fluent_builder = client.create_processing_job();
        fluent_builder.inner = self;
        fluent_builder.send().await
    }
}
/// Fluent builder constructing a request to `CreateProcessingJob`.
///
/// <p>Creates a processing job.</p>
#[derive(::std::clone::Clone, ::std::fmt::Debug)]
pub struct CreateProcessingJobFluentBuilder {
    handle: ::std::sync::Arc<crate::client::Handle>,
    inner: crate::operation::create_processing_job::builders::CreateProcessingJobInputBuilder,
    config_override: ::std::option::Option<crate::config::Builder>,
}
impl
    crate::client::customize::internal::CustomizableSend<
        crate::operation::create_processing_job::CreateProcessingJobOutput,
        crate::operation::create_processing_job::CreateProcessingJobError,
    > for CreateProcessingJobFluentBuilder
{
    fn send(
        self,
        config_override: crate::config::Builder,
    ) -> crate::client::customize::internal::BoxFuture<
        crate::client::customize::internal::SendResult<
            crate::operation::create_processing_job::CreateProcessingJobOutput,
            crate::operation::create_processing_job::CreateProcessingJobError,
        >,
    > {
        ::std::boxed::Box::pin(async move { self.config_override(config_override).send().await })
    }
}
impl CreateProcessingJobFluentBuilder {
    /// Creates a new `CreateProcessingJobFluentBuilder`.
    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 CreateProcessingJob as a reference.
    pub fn as_input(&self) -> &crate::operation::create_processing_job::builders::CreateProcessingJobInputBuilder {
        &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_processing_job::CreateProcessingJobOutput,
        ::aws_smithy_runtime_api::client::result::SdkError<
            crate::operation::create_processing_job::CreateProcessingJobError,
            ::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_processing_job::CreateProcessingJob::operation_runtime_plugins(
            self.handle.runtime_plugins.clone(),
            &self.handle.conf,
            self.config_override,
        );
        crate::operation::create_processing_job::CreateProcessingJob::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_processing_job::CreateProcessingJobOutput,
        crate::operation::create_processing_job::CreateProcessingJobError,
        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
    }
    ///
    /// Appends an item to `ProcessingInputs`.
    ///
    /// To override the contents of this collection use [`set_processing_inputs`](Self::set_processing_inputs).
    ///
    /// <p>An array of inputs configuring the data to download into the processing container.</p>
    pub fn processing_inputs(mut self, input: crate::types::ProcessingInput) -> Self {
        self.inner = self.inner.processing_inputs(input);
        self
    }
    /// <p>An array of inputs configuring the data to download into the processing container.</p>
    pub fn set_processing_inputs(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::ProcessingInput>>) -> Self {
        self.inner = self.inner.set_processing_inputs(input);
        self
    }
    /// <p>An array of inputs configuring the data to download into the processing container.</p>
    pub fn get_processing_inputs(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::ProcessingInput>> {
        self.inner.get_processing_inputs()
    }
    /// <p>Output configuration for the processing job.</p>
    pub fn processing_output_config(mut self, input: crate::types::ProcessingOutputConfig) -> Self {
        self.inner = self.inner.processing_output_config(input);
        self
    }
    /// <p>Output configuration for the processing job.</p>
    pub fn set_processing_output_config(mut self, input: ::std::option::Option<crate::types::ProcessingOutputConfig>) -> Self {
        self.inner = self.inner.set_processing_output_config(input);
        self
    }
    /// <p>Output configuration for the processing job.</p>
    pub fn get_processing_output_config(&self) -> &::std::option::Option<crate::types::ProcessingOutputConfig> {
        self.inner.get_processing_output_config()
    }
    /// <p>The name of the processing job. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.</p>
    pub fn processing_job_name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.processing_job_name(input.into());
        self
    }
    /// <p>The name of the processing job. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.</p>
    pub fn set_processing_job_name(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_processing_job_name(input);
        self
    }
    /// <p>The name of the processing job. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.</p>
    pub fn get_processing_job_name(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_processing_job_name()
    }
    /// <p>Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job. In distributed training, you specify more than one instance.</p>
    pub fn processing_resources(mut self, input: crate::types::ProcessingResources) -> Self {
        self.inner = self.inner.processing_resources(input);
        self
    }
    /// <p>Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job. In distributed training, you specify more than one instance.</p>
    pub fn set_processing_resources(mut self, input: ::std::option::Option<crate::types::ProcessingResources>) -> Self {
        self.inner = self.inner.set_processing_resources(input);
        self
    }
    /// <p>Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job. In distributed training, you specify more than one instance.</p>
    pub fn get_processing_resources(&self) -> &::std::option::Option<crate::types::ProcessingResources> {
        self.inner.get_processing_resources()
    }
    /// <p>The time limit for how long the processing job is allowed to run.</p>
    pub fn stopping_condition(mut self, input: crate::types::ProcessingStoppingCondition) -> Self {
        self.inner = self.inner.stopping_condition(input);
        self
    }
    /// <p>The time limit for how long the processing job is allowed to run.</p>
    pub fn set_stopping_condition(mut self, input: ::std::option::Option<crate::types::ProcessingStoppingCondition>) -> Self {
        self.inner = self.inner.set_stopping_condition(input);
        self
    }
    /// <p>The time limit for how long the processing job is allowed to run.</p>
    pub fn get_stopping_condition(&self) -> &::std::option::Option<crate::types::ProcessingStoppingCondition> {
        self.inner.get_stopping_condition()
    }
    /// <p>Configures the processing job to run a specified Docker container image.</p>
    pub fn app_specification(mut self, input: crate::types::AppSpecification) -> Self {
        self.inner = self.inner.app_specification(input);
        self
    }
    /// <p>Configures the processing job to run a specified Docker container image.</p>
    pub fn set_app_specification(mut self, input: ::std::option::Option<crate::types::AppSpecification>) -> Self {
        self.inner = self.inner.set_app_specification(input);
        self
    }
    /// <p>Configures the processing job to run a specified Docker container image.</p>
    pub fn get_app_specification(&self) -> &::std::option::Option<crate::types::AppSpecification> {
        self.inner.get_app_specification()
    }
    ///
    /// Adds a key-value pair to `Environment`.
    ///
    /// To override the contents of this collection use [`set_environment`](Self::set_environment).
    ///
    /// <p>The environment variables to set in the Docker container. Up to 100 key and values entries in the map are supported.</p><important>
    /// <p>Do not include any security-sensitive information including account access IDs, secrets, or tokens in any environment fields. As part of the shared responsibility model, you are responsible for any potential exposure, unauthorized access, or compromise of your sensitive data if caused by security-sensitive information included in the request environment variable or plain text fields.</p>
    /// </important>
    pub fn environment(mut self, k: impl ::std::convert::Into<::std::string::String>, v: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.environment(k.into(), v.into());
        self
    }
    /// <p>The environment variables to set in the Docker container. Up to 100 key and values entries in the map are supported.</p><important>
    /// <p>Do not include any security-sensitive information including account access IDs, secrets, or tokens in any environment fields. As part of the shared responsibility model, you are responsible for any potential exposure, unauthorized access, or compromise of your sensitive data if caused by security-sensitive information included in the request environment variable or plain text fields.</p>
    /// </important>
    pub fn set_environment(
        mut self,
        input: ::std::option::Option<::std::collections::HashMap<::std::string::String, ::std::string::String>>,
    ) -> Self {
        self.inner = self.inner.set_environment(input);
        self
    }
    /// <p>The environment variables to set in the Docker container. Up to 100 key and values entries in the map are supported.</p><important>
    /// <p>Do not include any security-sensitive information including account access IDs, secrets, or tokens in any environment fields. As part of the shared responsibility model, you are responsible for any potential exposure, unauthorized access, or compromise of your sensitive data if caused by security-sensitive information included in the request environment variable or plain text fields.</p>
    /// </important>
    pub fn get_environment(&self) -> &::std::option::Option<::std::collections::HashMap<::std::string::String, ::std::string::String>> {
        self.inner.get_environment()
    }
    /// <p>Networking options for a processing job, such as whether to allow inbound and outbound network calls to and from processing containers, and the VPC subnets and security groups to use for VPC-enabled processing jobs.</p>
    pub fn network_config(mut self, input: crate::types::NetworkConfig) -> Self {
        self.inner = self.inner.network_config(input);
        self
    }
    /// <p>Networking options for a processing job, such as whether to allow inbound and outbound network calls to and from processing containers, and the VPC subnets and security groups to use for VPC-enabled processing jobs.</p>
    pub fn set_network_config(mut self, input: ::std::option::Option<crate::types::NetworkConfig>) -> Self {
        self.inner = self.inner.set_network_config(input);
        self
    }
    /// <p>Networking options for a processing job, such as whether to allow inbound and outbound network calls to and from processing containers, and the VPC subnets and security groups to use for VPC-enabled processing jobs.</p>
    pub fn get_network_config(&self) -> &::std::option::Option<crate::types::NetworkConfig> {
        self.inner.get_network_config()
    }
    /// <p>The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.</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 role that Amazon SageMaker can assume to perform tasks on your behalf.</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 role that Amazon SageMaker can assume to perform tasks on your behalf.</p>
    pub fn get_role_arn(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_role_arn()
    }
    ///
    /// Appends an item to `Tags`.
    ///
    /// To override the contents of this collection use [`set_tags`](Self::set_tags).
    ///
    /// <p>(Optional) An array of key-value pairs. For more information, see <a href="https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-whatURL">Using Cost Allocation Tags</a> in the <i>Amazon Web Services Billing and Cost Management User Guide</i>.</p><important>
    /// <p>Do not include any security-sensitive information including account access IDs, secrets, or tokens in any tags. As part of the shared responsibility model, you are responsible for any potential exposure, unauthorized access, or compromise of your sensitive data if caused by security-sensitive information included in the request tag variable or plain text fields.</p>
    /// </important>
    pub fn tags(mut self, input: crate::types::Tag) -> Self {
        self.inner = self.inner.tags(input);
        self
    }
    /// <p>(Optional) An array of key-value pairs. For more information, see <a href="https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-whatURL">Using Cost Allocation Tags</a> in the <i>Amazon Web Services Billing and Cost Management User Guide</i>.</p><important>
    /// <p>Do not include any security-sensitive information including account access IDs, secrets, or tokens in any tags. As part of the shared responsibility model, you are responsible for any potential exposure, unauthorized access, or compromise of your sensitive data if caused by security-sensitive information included in the request tag variable or plain text fields.</p>
    /// </important>
    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>(Optional) An array of key-value pairs. For more information, see <a href="https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-whatURL">Using Cost Allocation Tags</a> in the <i>Amazon Web Services Billing and Cost Management User Guide</i>.</p><important>
    /// <p>Do not include any security-sensitive information including account access IDs, secrets, or tokens in any tags. As part of the shared responsibility model, you are responsible for any potential exposure, unauthorized access, or compromise of your sensitive data if caused by security-sensitive information included in the request tag variable or plain text fields.</p>
    /// </important>
    pub fn get_tags(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::Tag>> {
        self.inner.get_tags()
    }
    /// <p>Associates a SageMaker job as a trial component with an experiment and trial. Specified when you call the following APIs:</p>
    /// <ul>
    /// <li>
    /// <p><a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateProcessingJob.html">CreateProcessingJob</a></p></li>
    /// <li>
    /// <p><a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateTrainingJob.html">CreateTrainingJob</a></p></li>
    /// <li>
    /// <p><a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateTransformJob.html">CreateTransformJob</a></p></li>
    /// </ul>
    pub fn experiment_config(mut self, input: crate::types::ExperimentConfig) -> Self {
        self.inner = self.inner.experiment_config(input);
        self
    }
    /// <p>Associates a SageMaker job as a trial component with an experiment and trial. Specified when you call the following APIs:</p>
    /// <ul>
    /// <li>
    /// <p><a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateProcessingJob.html">CreateProcessingJob</a></p></li>
    /// <li>
    /// <p><a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateTrainingJob.html">CreateTrainingJob</a></p></li>
    /// <li>
    /// <p><a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateTransformJob.html">CreateTransformJob</a></p></li>
    /// </ul>
    pub fn set_experiment_config(mut self, input: ::std::option::Option<crate::types::ExperimentConfig>) -> Self {
        self.inner = self.inner.set_experiment_config(input);
        self
    }
    /// <p>Associates a SageMaker job as a trial component with an experiment and trial. Specified when you call the following APIs:</p>
    /// <ul>
    /// <li>
    /// <p><a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateProcessingJob.html">CreateProcessingJob</a></p></li>
    /// <li>
    /// <p><a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateTrainingJob.html">CreateTrainingJob</a></p></li>
    /// <li>
    /// <p><a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateTransformJob.html">CreateTransformJob</a></p></li>
    /// </ul>
    pub fn get_experiment_config(&self) -> &::std::option::Option<crate::types::ExperimentConfig> {
        self.inner.get_experiment_config()
    }
}