aws-sdk-sagemaker 1.189.0

// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
#[allow(missing_docs)] // documentation missing in model
#[non_exhaustive]
#[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::fmt::Debug)]
pub struct DescribeProcessingJobOutput {
    /// <p>The inputs for a processing job.</p>
    pub processing_inputs: ::std::option::Option<::std::vec::Vec<crate::types::ProcessingInput>>,
    /// <p>Output configuration for the processing job.</p>
    pub processing_output_config: ::std::option::Option<crate::types::ProcessingOutputConfig>,
    /// <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 processing_job_name: ::std::option::Option<::std::string::String>,
    /// <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 processing_resources: ::std::option::Option<crate::types::ProcessingResources>,
    /// <p>The time limit for how long the processing job is allowed to run.</p>
    pub stopping_condition: ::std::option::Option<crate::types::ProcessingStoppingCondition>,
    /// <p>Configures the processing job to run a specified container image.</p>
    pub app_specification: ::std::option::Option<crate::types::AppSpecification>,
    /// <p>The environment variables set in the Docker container.</p>
    pub environment: ::std::option::Option<::std::collections::HashMap<::std::string::String, ::std::string::String>>,
    /// <p>Networking options for a processing job.</p>
    pub network_config: ::std::option::Option<crate::types::NetworkConfig>,
    /// <p>The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.</p>
    pub role_arn: ::std::option::Option<::std::string::String>,
    /// <p>The configuration information used to create an experiment.</p>
    pub experiment_config: ::std::option::Option<crate::types::ExperimentConfig>,
    /// <p>The Amazon Resource Name (ARN) of the processing job.</p>
    pub processing_job_arn: ::std::option::Option<::std::string::String>,
    /// <p>Provides the status of a processing job.</p>
    pub processing_job_status: ::std::option::Option<crate::types::ProcessingJobStatus>,
    /// <p>An optional string, up to one KB in size, that contains metadata from the processing container when the processing job exits.</p>
    pub exit_message: ::std::option::Option<::std::string::String>,
    /// <p>A string, up to one KB in size, that contains the reason a processing job failed, if it failed.</p>
    pub failure_reason: ::std::option::Option<::std::string::String>,
    /// <p>The time at which the processing job completed.</p>
    pub processing_end_time: ::std::option::Option<::aws_smithy_types::DateTime>,
    /// <p>The time at which the processing job started.</p>
    pub processing_start_time: ::std::option::Option<::aws_smithy_types::DateTime>,
    /// <p>The time at which the processing job was last modified.</p>
    pub last_modified_time: ::std::option::Option<::aws_smithy_types::DateTime>,
    /// <p>The time at which the processing job was created.</p>
    pub creation_time: ::std::option::Option<::aws_smithy_types::DateTime>,
    /// <p>The ARN of a monitoring schedule for an endpoint associated with this processing job.</p>
    pub monitoring_schedule_arn: ::std::option::Option<::std::string::String>,
    /// <p>The ARN of an AutoML job associated with this processing job.</p>
    pub auto_ml_job_arn: ::std::option::Option<::std::string::String>,
    /// <p>The ARN of a training job associated with this processing job.</p>
    pub training_job_arn: ::std::option::Option<::std::string::String>,
    _request_id: Option<String>,
}
impl DescribeProcessingJobOutput {
    /// <p>The inputs for a processing job.</p>
    ///
    /// If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use `.processing_inputs.is_none()`.
    pub fn processing_inputs(&self) -> &[crate::types::ProcessingInput] {
        self.processing_inputs.as_deref().unwrap_or_default()
    }
    /// <p>Output configuration for the processing job.</p>
    pub fn processing_output_config(&self) -> ::std::option::Option<&crate::types::ProcessingOutputConfig> {
        self.processing_output_config.as_ref()
    }
    /// <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(&self) -> ::std::option::Option<&str> {
        self.processing_job_name.as_deref()
    }
    /// <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(&self) -> ::std::option::Option<&crate::types::ProcessingResources> {
        self.processing_resources.as_ref()
    }
    /// <p>The time limit for how long the processing job is allowed to run.</p>
    pub fn stopping_condition(&self) -> ::std::option::Option<&crate::types::ProcessingStoppingCondition> {
        self.stopping_condition.as_ref()
    }
    /// <p>Configures the processing job to run a specified container image.</p>
    pub fn app_specification(&self) -> ::std::option::Option<&crate::types::AppSpecification> {
        self.app_specification.as_ref()
    }
    /// <p>The environment variables set in the Docker container.</p>
    pub fn environment(&self) -> ::std::option::Option<&::std::collections::HashMap<::std::string::String, ::std::string::String>> {
        self.environment.as_ref()
    }
    /// <p>Networking options for a processing job.</p>
    pub fn network_config(&self) -> ::std::option::Option<&crate::types::NetworkConfig> {
        self.network_config.as_ref()
    }
    /// <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(&self) -> ::std::option::Option<&str> {
        self.role_arn.as_deref()
    }
    /// <p>The configuration information used to create an experiment.</p>
    pub fn experiment_config(&self) -> ::std::option::Option<&crate::types::ExperimentConfig> {
        self.experiment_config.as_ref()
    }
    /// <p>The Amazon Resource Name (ARN) of the processing job.</p>
    pub fn processing_job_arn(&self) -> ::std::option::Option<&str> {
        self.processing_job_arn.as_deref()
    }
    /// <p>Provides the status of a processing job.</p>
    pub fn processing_job_status(&self) -> ::std::option::Option<&crate::types::ProcessingJobStatus> {
        self.processing_job_status.as_ref()
    }
    /// <p>An optional string, up to one KB in size, that contains metadata from the processing container when the processing job exits.</p>
    pub fn exit_message(&self) -> ::std::option::Option<&str> {
        self.exit_message.as_deref()
    }
    /// <p>A string, up to one KB in size, that contains the reason a processing job failed, if it failed.</p>
    pub fn failure_reason(&self) -> ::std::option::Option<&str> {
        self.failure_reason.as_deref()
    }
    /// <p>The time at which the processing job completed.</p>
    pub fn processing_end_time(&self) -> ::std::option::Option<&::aws_smithy_types::DateTime> {
        self.processing_end_time.as_ref()
    }
    /// <p>The time at which the processing job started.</p>
    pub fn processing_start_time(&self) -> ::std::option::Option<&::aws_smithy_types::DateTime> {
        self.processing_start_time.as_ref()
    }
    /// <p>The time at which the processing job was last modified.</p>
    pub fn last_modified_time(&self) -> ::std::option::Option<&::aws_smithy_types::DateTime> {
        self.last_modified_time.as_ref()
    }
    /// <p>The time at which the processing job was created.</p>
    pub fn creation_time(&self) -> ::std::option::Option<&::aws_smithy_types::DateTime> {
        self.creation_time.as_ref()
    }
    /// <p>The ARN of a monitoring schedule for an endpoint associated with this processing job.</p>
    pub fn monitoring_schedule_arn(&self) -> ::std::option::Option<&str> {
        self.monitoring_schedule_arn.as_deref()
    }
    /// <p>The ARN of an AutoML job associated with this processing job.</p>
    pub fn auto_ml_job_arn(&self) -> ::std::option::Option<&str> {
        self.auto_ml_job_arn.as_deref()
    }
    /// <p>The ARN of a training job associated with this processing job.</p>
    pub fn training_job_arn(&self) -> ::std::option::Option<&str> {
        self.training_job_arn.as_deref()
    }
}
impl ::aws_types::request_id::RequestId for DescribeProcessingJobOutput {
    fn request_id(&self) -> Option<&str> {
        self._request_id.as_deref()
    }
}
impl DescribeProcessingJobOutput {
    /// Creates a new builder-style object to manufacture [`DescribeProcessingJobOutput`](crate::operation::describe_processing_job::DescribeProcessingJobOutput).
    pub fn builder() -> crate::operation::describe_processing_job::builders::DescribeProcessingJobOutputBuilder {
        crate::operation::describe_processing_job::builders::DescribeProcessingJobOutputBuilder::default()
    }
}

/// A builder for [`DescribeProcessingJobOutput`](crate::operation::describe_processing_job::DescribeProcessingJobOutput).
#[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::default::Default, ::std::fmt::Debug)]
#[non_exhaustive]
pub struct DescribeProcessingJobOutputBuilder {
    pub(crate) processing_inputs: ::std::option::Option<::std::vec::Vec<crate::types::ProcessingInput>>,
    pub(crate) processing_output_config: ::std::option::Option<crate::types::ProcessingOutputConfig>,
    pub(crate) processing_job_name: ::std::option::Option<::std::string::String>,
    pub(crate) processing_resources: ::std::option::Option<crate::types::ProcessingResources>,
    pub(crate) stopping_condition: ::std::option::Option<crate::types::ProcessingStoppingCondition>,
    pub(crate) app_specification: ::std::option::Option<crate::types::AppSpecification>,
    pub(crate) environment: ::std::option::Option<::std::collections::HashMap<::std::string::String, ::std::string::String>>,
    pub(crate) network_config: ::std::option::Option<crate::types::NetworkConfig>,
    pub(crate) role_arn: ::std::option::Option<::std::string::String>,
    pub(crate) experiment_config: ::std::option::Option<crate::types::ExperimentConfig>,
    pub(crate) processing_job_arn: ::std::option::Option<::std::string::String>,
    pub(crate) processing_job_status: ::std::option::Option<crate::types::ProcessingJobStatus>,
    pub(crate) exit_message: ::std::option::Option<::std::string::String>,
    pub(crate) failure_reason: ::std::option::Option<::std::string::String>,
    pub(crate) processing_end_time: ::std::option::Option<::aws_smithy_types::DateTime>,
    pub(crate) processing_start_time: ::std::option::Option<::aws_smithy_types::DateTime>,
    pub(crate) last_modified_time: ::std::option::Option<::aws_smithy_types::DateTime>,
    pub(crate) creation_time: ::std::option::Option<::aws_smithy_types::DateTime>,
    pub(crate) monitoring_schedule_arn: ::std::option::Option<::std::string::String>,
    pub(crate) auto_ml_job_arn: ::std::option::Option<::std::string::String>,
    pub(crate) training_job_arn: ::std::option::Option<::std::string::String>,
    _request_id: Option<String>,
}
impl DescribeProcessingJobOutputBuilder {
    /// Appends an item to `processing_inputs`.
    ///
    /// To override the contents of this collection use [`set_processing_inputs`](Self::set_processing_inputs).
    ///
    /// <p>The inputs for a processing job.</p>
    pub fn processing_inputs(mut self, input: crate::types::ProcessingInput) -> Self {
        let mut v = self.processing_inputs.unwrap_or_default();
        v.push(input);
        self.processing_inputs = ::std::option::Option::Some(v);
        self
    }
    /// <p>The inputs for a processing job.</p>
    pub fn set_processing_inputs(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::ProcessingInput>>) -> Self {
        self.processing_inputs = input;
        self
    }
    /// <p>The inputs for a processing job.</p>
    pub fn get_processing_inputs(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::ProcessingInput>> {
        &self.processing_inputs
    }
    /// <p>Output configuration for the processing job.</p>
    pub fn processing_output_config(mut self, input: crate::types::ProcessingOutputConfig) -> Self {
        self.processing_output_config = ::std::option::Option::Some(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.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.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>
    /// This field is required.
    pub fn processing_job_name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.processing_job_name = ::std::option::Option::Some(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.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.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>
    /// This field is required.
    pub fn processing_resources(mut self, input: crate::types::ProcessingResources) -> Self {
        self.processing_resources = ::std::option::Option::Some(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.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.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.stopping_condition = ::std::option::Option::Some(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.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.stopping_condition
    }
    /// <p>Configures the processing job to run a specified container image.</p>
    /// This field is required.
    pub fn app_specification(mut self, input: crate::types::AppSpecification) -> Self {
        self.app_specification = ::std::option::Option::Some(input);
        self
    }
    /// <p>Configures the processing job to run a specified container image.</p>
    pub fn set_app_specification(mut self, input: ::std::option::Option<crate::types::AppSpecification>) -> Self {
        self.app_specification = input;
        self
    }
    /// <p>Configures the processing job to run a specified container image.</p>
    pub fn get_app_specification(&self) -> &::std::option::Option<crate::types::AppSpecification> {
        &self.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 set in the Docker container.</p>
    pub fn environment(mut self, k: impl ::std::convert::Into<::std::string::String>, v: impl ::std::convert::Into<::std::string::String>) -> Self {
        let mut hash_map = self.environment.unwrap_or_default();
        hash_map.insert(k.into(), v.into());
        self.environment = ::std::option::Option::Some(hash_map);
        self
    }
    /// <p>The environment variables set in the Docker container.</p>
    pub fn set_environment(
        mut self,
        input: ::std::option::Option<::std::collections::HashMap<::std::string::String, ::std::string::String>>,
    ) -> Self {
        self.environment = input;
        self
    }
    /// <p>The environment variables set in the Docker container.</p>
    pub fn get_environment(&self) -> &::std::option::Option<::std::collections::HashMap<::std::string::String, ::std::string::String>> {
        &self.environment
    }
    /// <p>Networking options for a processing job.</p>
    pub fn network_config(mut self, input: crate::types::NetworkConfig) -> Self {
        self.network_config = ::std::option::Option::Some(input);
        self
    }
    /// <p>Networking options for a processing job.</p>
    pub fn set_network_config(mut self, input: ::std::option::Option<crate::types::NetworkConfig>) -> Self {
        self.network_config = input;
        self
    }
    /// <p>Networking options for a processing job.</p>
    pub fn get_network_config(&self) -> &::std::option::Option<crate::types::NetworkConfig> {
        &self.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.role_arn = ::std::option::Option::Some(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.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.role_arn
    }
    /// <p>The configuration information used to create an experiment.</p>
    pub fn experiment_config(mut self, input: crate::types::ExperimentConfig) -> Self {
        self.experiment_config = ::std::option::Option::Some(input);
        self
    }
    /// <p>The configuration information used to create an experiment.</p>
    pub fn set_experiment_config(mut self, input: ::std::option::Option<crate::types::ExperimentConfig>) -> Self {
        self.experiment_config = input;
        self
    }
    /// <p>The configuration information used to create an experiment.</p>
    pub fn get_experiment_config(&self) -> &::std::option::Option<crate::types::ExperimentConfig> {
        &self.experiment_config
    }
    /// <p>The Amazon Resource Name (ARN) of the processing job.</p>
    /// This field is required.
    pub fn processing_job_arn(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.processing_job_arn = ::std::option::Option::Some(input.into());
        self
    }
    /// <p>The Amazon Resource Name (ARN) of the processing job.</p>
    pub fn set_processing_job_arn(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.processing_job_arn = input;
        self
    }
    /// <p>The Amazon Resource Name (ARN) of the processing job.</p>
    pub fn get_processing_job_arn(&self) -> &::std::option::Option<::std::string::String> {
        &self.processing_job_arn
    }
    /// <p>Provides the status of a processing job.</p>
    /// This field is required.
    pub fn processing_job_status(mut self, input: crate::types::ProcessingJobStatus) -> Self {
        self.processing_job_status = ::std::option::Option::Some(input);
        self
    }
    /// <p>Provides the status of a processing job.</p>
    pub fn set_processing_job_status(mut self, input: ::std::option::Option<crate::types::ProcessingJobStatus>) -> Self {
        self.processing_job_status = input;
        self
    }
    /// <p>Provides the status of a processing job.</p>
    pub fn get_processing_job_status(&self) -> &::std::option::Option<crate::types::ProcessingJobStatus> {
        &self.processing_job_status
    }
    /// <p>An optional string, up to one KB in size, that contains metadata from the processing container when the processing job exits.</p>
    pub fn exit_message(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.exit_message = ::std::option::Option::Some(input.into());
        self
    }
    /// <p>An optional string, up to one KB in size, that contains metadata from the processing container when the processing job exits.</p>
    pub fn set_exit_message(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.exit_message = input;
        self
    }
    /// <p>An optional string, up to one KB in size, that contains metadata from the processing container when the processing job exits.</p>
    pub fn get_exit_message(&self) -> &::std::option::Option<::std::string::String> {
        &self.exit_message
    }
    /// <p>A string, up to one KB in size, that contains the reason a processing job failed, if it failed.</p>
    pub fn failure_reason(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.failure_reason = ::std::option::Option::Some(input.into());
        self
    }
    /// <p>A string, up to one KB in size, that contains the reason a processing job failed, if it failed.</p>
    pub fn set_failure_reason(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.failure_reason = input;
        self
    }
    /// <p>A string, up to one KB in size, that contains the reason a processing job failed, if it failed.</p>
    pub fn get_failure_reason(&self) -> &::std::option::Option<::std::string::String> {
        &self.failure_reason
    }
    /// <p>The time at which the processing job completed.</p>
    pub fn processing_end_time(mut self, input: ::aws_smithy_types::DateTime) -> Self {
        self.processing_end_time = ::std::option::Option::Some(input);
        self
    }
    /// <p>The time at which the processing job completed.</p>
    pub fn set_processing_end_time(mut self, input: ::std::option::Option<::aws_smithy_types::DateTime>) -> Self {
        self.processing_end_time = input;
        self
    }
    /// <p>The time at which the processing job completed.</p>
    pub fn get_processing_end_time(&self) -> &::std::option::Option<::aws_smithy_types::DateTime> {
        &self.processing_end_time
    }
    /// <p>The time at which the processing job started.</p>
    pub fn processing_start_time(mut self, input: ::aws_smithy_types::DateTime) -> Self {
        self.processing_start_time = ::std::option::Option::Some(input);
        self
    }
    /// <p>The time at which the processing job started.</p>
    pub fn set_processing_start_time(mut self, input: ::std::option::Option<::aws_smithy_types::DateTime>) -> Self {
        self.processing_start_time = input;
        self
    }
    /// <p>The time at which the processing job started.</p>
    pub fn get_processing_start_time(&self) -> &::std::option::Option<::aws_smithy_types::DateTime> {
        &self.processing_start_time
    }
    /// <p>The time at which the processing job was last modified.</p>
    pub fn last_modified_time(mut self, input: ::aws_smithy_types::DateTime) -> Self {
        self.last_modified_time = ::std::option::Option::Some(input);
        self
    }
    /// <p>The time at which the processing job was last modified.</p>
    pub fn set_last_modified_time(mut self, input: ::std::option::Option<::aws_smithy_types::DateTime>) -> Self {
        self.last_modified_time = input;
        self
    }
    /// <p>The time at which the processing job was last modified.</p>
    pub fn get_last_modified_time(&self) -> &::std::option::Option<::aws_smithy_types::DateTime> {
        &self.last_modified_time
    }
    /// <p>The time at which the processing job was created.</p>
    /// This field is required.
    pub fn creation_time(mut self, input: ::aws_smithy_types::DateTime) -> Self {
        self.creation_time = ::std::option::Option::Some(input);
        self
    }
    /// <p>The time at which the processing job was created.</p>
    pub fn set_creation_time(mut self, input: ::std::option::Option<::aws_smithy_types::DateTime>) -> Self {
        self.creation_time = input;
        self
    }
    /// <p>The time at which the processing job was created.</p>
    pub fn get_creation_time(&self) -> &::std::option::Option<::aws_smithy_types::DateTime> {
        &self.creation_time
    }
    /// <p>The ARN of a monitoring schedule for an endpoint associated with this processing job.</p>
    pub fn monitoring_schedule_arn(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.monitoring_schedule_arn = ::std::option::Option::Some(input.into());
        self
    }
    /// <p>The ARN of a monitoring schedule for an endpoint associated with this processing job.</p>
    pub fn set_monitoring_schedule_arn(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.monitoring_schedule_arn = input;
        self
    }
    /// <p>The ARN of a monitoring schedule for an endpoint associated with this processing job.</p>
    pub fn get_monitoring_schedule_arn(&self) -> &::std::option::Option<::std::string::String> {
        &self.monitoring_schedule_arn
    }
    /// <p>The ARN of an AutoML job associated with this processing job.</p>
    pub fn auto_ml_job_arn(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.auto_ml_job_arn = ::std::option::Option::Some(input.into());
        self
    }
    /// <p>The ARN of an AutoML job associated with this processing job.</p>
    pub fn set_auto_ml_job_arn(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.auto_ml_job_arn = input;
        self
    }
    /// <p>The ARN of an AutoML job associated with this processing job.</p>
    pub fn get_auto_ml_job_arn(&self) -> &::std::option::Option<::std::string::String> {
        &self.auto_ml_job_arn
    }
    /// <p>The ARN of a training job associated with this processing job.</p>
    pub fn training_job_arn(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.training_job_arn = ::std::option::Option::Some(input.into());
        self
    }
    /// <p>The ARN of a training job associated with this processing job.</p>
    pub fn set_training_job_arn(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.training_job_arn = input;
        self
    }
    /// <p>The ARN of a training job associated with this processing job.</p>
    pub fn get_training_job_arn(&self) -> &::std::option::Option<::std::string::String> {
        &self.training_job_arn
    }
    pub(crate) fn _request_id(mut self, request_id: impl Into<String>) -> Self {
        self._request_id = Some(request_id.into());
        self
    }

    pub(crate) fn _set_request_id(&mut self, request_id: Option<String>) -> &mut Self {
        self._request_id = request_id;
        self
    }
    /// Consumes the builder and constructs a [`DescribeProcessingJobOutput`](crate::operation::describe_processing_job::DescribeProcessingJobOutput).
    pub fn build(self) -> crate::operation::describe_processing_job::DescribeProcessingJobOutput {
        crate::operation::describe_processing_job::DescribeProcessingJobOutput {
            processing_inputs: self.processing_inputs,
            processing_output_config: self.processing_output_config,
            processing_job_name: self.processing_job_name,
            processing_resources: self.processing_resources,
            stopping_condition: self.stopping_condition,
            app_specification: self.app_specification,
            environment: self.environment,
            network_config: self.network_config,
            role_arn: self.role_arn,
            experiment_config: self.experiment_config,
            processing_job_arn: self.processing_job_arn,
            processing_job_status: self.processing_job_status,
            exit_message: self.exit_message,
            failure_reason: self.failure_reason,
            processing_end_time: self.processing_end_time,
            processing_start_time: self.processing_start_time,
            last_modified_time: self.last_modified_time,
            creation_time: self.creation_time,
            monitoring_schedule_arn: self.monitoring_schedule_arn,
            auto_ml_job_arn: self.auto_ml_job_arn,
            training_job_arn: self.training_job_arn,
            _request_id: self._request_id,
        }
    }
}