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

pub use crate::operation::create_processing_job::_create_processing_job_input::CreateProcessingJobInputBuilder;

impl 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 `CreateProcessingJob`.
    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 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
    }
    /// 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>
    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>
    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>
    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>
    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>
    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>
    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()
    }
}