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// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
/// <p>Describes the work to be performed by human workers.</p>
#[non_exhaustive]
#[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::fmt::Debug)]
pub struct HumanLoopConfig {
/// <p>Amazon Resource Name (ARN) of a team of workers. To learn more about the types of workforces and work teams you can create and use with Amazon A2I, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/sms-workforce-management.html">Create and Manage Workforces</a>.</p>
pub workteam_arn: ::std::option::Option<::std::string::String>,
/// <p>The Amazon Resource Name (ARN) of the human task user interface.</p>
/// <p>You can use standard HTML and Crowd HTML Elements to create a custom worker task template. You use this template to create a human task UI.</p>
/// <p>To learn how to create a custom HTML template, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/a2i-custom-templates.html">Create Custom Worker Task Template</a>.</p>
/// <p>To learn how to create a human task UI, which is a worker task template that can be used in a flow definition, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/a2i-worker-template-console.html">Create and Delete a Worker Task Templates</a>.</p>
pub human_task_ui_arn: ::std::option::Option<::std::string::String>,
/// <p>A title for the human worker task.</p>
pub task_title: ::std::option::Option<::std::string::String>,
/// <p>A description for the human worker task.</p>
pub task_description: ::std::option::Option<::std::string::String>,
/// <p>The number of distinct workers who will perform the same task on each object. For example, if <code>TaskCount</code> is set to <code>3</code> for an image classification labeling job, three workers will classify each input image. Increasing <code>TaskCount</code> can improve label accuracy.</p>
pub task_count: ::std::option::Option<i32>,
/// <p>The length of time that a task remains available for review by human workers.</p>
pub task_availability_lifetime_in_seconds: ::std::option::Option<i32>,
/// <p>The amount of time that a worker has to complete a task. The default value is 3,600 seconds (1 hour).</p>
pub task_time_limit_in_seconds: ::std::option::Option<i32>,
/// <p>Keywords used to describe the task so that workers can discover the task.</p>
pub task_keywords: ::std::option::Option<::std::vec::Vec<::std::string::String>>,
/// <p>Defines the amount of money paid to an Amazon Mechanical Turk worker for each task performed. </p>
/// <p>Use one of the following prices for bounding box tasks. Prices are in US dollars and should be based on the complexity of the task; the longer it takes in your initial testing, the more you should offer.</p>
/// <ul>
/// <li> <p>0.036</p> </li>
/// <li> <p>0.048</p> </li>
/// <li> <p>0.060</p> </li>
/// <li> <p>0.072</p> </li>
/// <li> <p>0.120</p> </li>
/// <li> <p>0.240</p> </li>
/// <li> <p>0.360</p> </li>
/// <li> <p>0.480</p> </li>
/// <li> <p>0.600</p> </li>
/// <li> <p>0.720</p> </li>
/// <li> <p>0.840</p> </li>
/// <li> <p>0.960</p> </li>
/// <li> <p>1.080</p> </li>
/// <li> <p>1.200</p> </li>
/// </ul>
/// <p>Use one of the following prices for image classification, text classification, and custom tasks. Prices are in US dollars.</p>
/// <ul>
/// <li> <p>0.012</p> </li>
/// <li> <p>0.024</p> </li>
/// <li> <p>0.036</p> </li>
/// <li> <p>0.048</p> </li>
/// <li> <p>0.060</p> </li>
/// <li> <p>0.072</p> </li>
/// <li> <p>0.120</p> </li>
/// <li> <p>0.240</p> </li>
/// <li> <p>0.360</p> </li>
/// <li> <p>0.480</p> </li>
/// <li> <p>0.600</p> </li>
/// <li> <p>0.720</p> </li>
/// <li> <p>0.840</p> </li>
/// <li> <p>0.960</p> </li>
/// <li> <p>1.080</p> </li>
/// <li> <p>1.200</p> </li>
/// </ul>
/// <p>Use one of the following prices for semantic segmentation tasks. Prices are in US dollars.</p>
/// <ul>
/// <li> <p>0.840</p> </li>
/// <li> <p>0.960</p> </li>
/// <li> <p>1.080</p> </li>
/// <li> <p>1.200</p> </li>
/// </ul>
/// <p>Use one of the following prices for Textract AnalyzeDocument Important Form Key Amazon Augmented AI review tasks. Prices are in US dollars.</p>
/// <ul>
/// <li> <p>2.400 </p> </li>
/// <li> <p>2.280 </p> </li>
/// <li> <p>2.160 </p> </li>
/// <li> <p>2.040 </p> </li>
/// <li> <p>1.920 </p> </li>
/// <li> <p>1.800 </p> </li>
/// <li> <p>1.680 </p> </li>
/// <li> <p>1.560 </p> </li>
/// <li> <p>1.440 </p> </li>
/// <li> <p>1.320 </p> </li>
/// <li> <p>1.200 </p> </li>
/// <li> <p>1.080 </p> </li>
/// <li> <p>0.960 </p> </li>
/// <li> <p>0.840 </p> </li>
/// <li> <p>0.720 </p> </li>
/// <li> <p>0.600 </p> </li>
/// <li> <p>0.480 </p> </li>
/// <li> <p>0.360 </p> </li>
/// <li> <p>0.240 </p> </li>
/// <li> <p>0.120 </p> </li>
/// <li> <p>0.072 </p> </li>
/// <li> <p>0.060 </p> </li>
/// <li> <p>0.048 </p> </li>
/// <li> <p>0.036 </p> </li>
/// <li> <p>0.024 </p> </li>
/// <li> <p>0.012 </p> </li>
/// </ul>
/// <p>Use one of the following prices for Rekognition DetectModerationLabels Amazon Augmented AI review tasks. Prices are in US dollars.</p>
/// <ul>
/// <li> <p>1.200 </p> </li>
/// <li> <p>1.080 </p> </li>
/// <li> <p>0.960 </p> </li>
/// <li> <p>0.840 </p> </li>
/// <li> <p>0.720 </p> </li>
/// <li> <p>0.600 </p> </li>
/// <li> <p>0.480 </p> </li>
/// <li> <p>0.360 </p> </li>
/// <li> <p>0.240 </p> </li>
/// <li> <p>0.120 </p> </li>
/// <li> <p>0.072 </p> </li>
/// <li> <p>0.060 </p> </li>
/// <li> <p>0.048 </p> </li>
/// <li> <p>0.036 </p> </li>
/// <li> <p>0.024 </p> </li>
/// <li> <p>0.012 </p> </li>
/// </ul>
/// <p>Use one of the following prices for Amazon Augmented AI custom human review tasks. Prices are in US dollars.</p>
/// <ul>
/// <li> <p>1.200 </p> </li>
/// <li> <p>1.080 </p> </li>
/// <li> <p>0.960 </p> </li>
/// <li> <p>0.840 </p> </li>
/// <li> <p>0.720 </p> </li>
/// <li> <p>0.600 </p> </li>
/// <li> <p>0.480 </p> </li>
/// <li> <p>0.360 </p> </li>
/// <li> <p>0.240 </p> </li>
/// <li> <p>0.120 </p> </li>
/// <li> <p>0.072 </p> </li>
/// <li> <p>0.060 </p> </li>
/// <li> <p>0.048 </p> </li>
/// <li> <p>0.036 </p> </li>
/// <li> <p>0.024 </p> </li>
/// <li> <p>0.012 </p> </li>
/// </ul>
pub public_workforce_task_price: ::std::option::Option<crate::types::PublicWorkforceTaskPrice>,
}
impl HumanLoopConfig {
/// <p>Amazon Resource Name (ARN) of a team of workers. To learn more about the types of workforces and work teams you can create and use with Amazon A2I, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/sms-workforce-management.html">Create and Manage Workforces</a>.</p>
pub fn workteam_arn(&self) -> ::std::option::Option<&str> {
self.workteam_arn.as_deref()
}
/// <p>The Amazon Resource Name (ARN) of the human task user interface.</p>
/// <p>You can use standard HTML and Crowd HTML Elements to create a custom worker task template. You use this template to create a human task UI.</p>
/// <p>To learn how to create a custom HTML template, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/a2i-custom-templates.html">Create Custom Worker Task Template</a>.</p>
/// <p>To learn how to create a human task UI, which is a worker task template that can be used in a flow definition, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/a2i-worker-template-console.html">Create and Delete a Worker Task Templates</a>.</p>
pub fn human_task_ui_arn(&self) -> ::std::option::Option<&str> {
self.human_task_ui_arn.as_deref()
}
/// <p>A title for the human worker task.</p>
pub fn task_title(&self) -> ::std::option::Option<&str> {
self.task_title.as_deref()
}
/// <p>A description for the human worker task.</p>
pub fn task_description(&self) -> ::std::option::Option<&str> {
self.task_description.as_deref()
}
/// <p>The number of distinct workers who will perform the same task on each object. For example, if <code>TaskCount</code> is set to <code>3</code> for an image classification labeling job, three workers will classify each input image. Increasing <code>TaskCount</code> can improve label accuracy.</p>
pub fn task_count(&self) -> ::std::option::Option<i32> {
self.task_count
}
/// <p>The length of time that a task remains available for review by human workers.</p>
pub fn task_availability_lifetime_in_seconds(&self) -> ::std::option::Option<i32> {
self.task_availability_lifetime_in_seconds
}
/// <p>The amount of time that a worker has to complete a task. The default value is 3,600 seconds (1 hour).</p>
pub fn task_time_limit_in_seconds(&self) -> ::std::option::Option<i32> {
self.task_time_limit_in_seconds
}
/// <p>Keywords used to describe the task so that workers can discover the task.</p>
pub fn task_keywords(&self) -> ::std::option::Option<&[::std::string::String]> {
self.task_keywords.as_deref()
}
/// <p>Defines the amount of money paid to an Amazon Mechanical Turk worker for each task performed. </p>
/// <p>Use one of the following prices for bounding box tasks. Prices are in US dollars and should be based on the complexity of the task; the longer it takes in your initial testing, the more you should offer.</p>
/// <ul>
/// <li> <p>0.036</p> </li>
/// <li> <p>0.048</p> </li>
/// <li> <p>0.060</p> </li>
/// <li> <p>0.072</p> </li>
/// <li> <p>0.120</p> </li>
/// <li> <p>0.240</p> </li>
/// <li> <p>0.360</p> </li>
/// <li> <p>0.480</p> </li>
/// <li> <p>0.600</p> </li>
/// <li> <p>0.720</p> </li>
/// <li> <p>0.840</p> </li>
/// <li> <p>0.960</p> </li>
/// <li> <p>1.080</p> </li>
/// <li> <p>1.200</p> </li>
/// </ul>
/// <p>Use one of the following prices for image classification, text classification, and custom tasks. Prices are in US dollars.</p>
/// <ul>
/// <li> <p>0.012</p> </li>
/// <li> <p>0.024</p> </li>
/// <li> <p>0.036</p> </li>
/// <li> <p>0.048</p> </li>
/// <li> <p>0.060</p> </li>
/// <li> <p>0.072</p> </li>
/// <li> <p>0.120</p> </li>
/// <li> <p>0.240</p> </li>
/// <li> <p>0.360</p> </li>
/// <li> <p>0.480</p> </li>
/// <li> <p>0.600</p> </li>
/// <li> <p>0.720</p> </li>
/// <li> <p>0.840</p> </li>
/// <li> <p>0.960</p> </li>
/// <li> <p>1.080</p> </li>
/// <li> <p>1.200</p> </li>
/// </ul>
/// <p>Use one of the following prices for semantic segmentation tasks. Prices are in US dollars.</p>
/// <ul>
/// <li> <p>0.840</p> </li>
/// <li> <p>0.960</p> </li>
/// <li> <p>1.080</p> </li>
/// <li> <p>1.200</p> </li>
/// </ul>
/// <p>Use one of the following prices for Textract AnalyzeDocument Important Form Key Amazon Augmented AI review tasks. Prices are in US dollars.</p>
/// <ul>
/// <li> <p>2.400 </p> </li>
/// <li> <p>2.280 </p> </li>
/// <li> <p>2.160 </p> </li>
/// <li> <p>2.040 </p> </li>
/// <li> <p>1.920 </p> </li>
/// <li> <p>1.800 </p> </li>
/// <li> <p>1.680 </p> </li>
/// <li> <p>1.560 </p> </li>
/// <li> <p>1.440 </p> </li>
/// <li> <p>1.320 </p> </li>
/// <li> <p>1.200 </p> </li>
/// <li> <p>1.080 </p> </li>
/// <li> <p>0.960 </p> </li>
/// <li> <p>0.840 </p> </li>
/// <li> <p>0.720 </p> </li>
/// <li> <p>0.600 </p> </li>
/// <li> <p>0.480 </p> </li>
/// <li> <p>0.360 </p> </li>
/// <li> <p>0.240 </p> </li>
/// <li> <p>0.120 </p> </li>
/// <li> <p>0.072 </p> </li>
/// <li> <p>0.060 </p> </li>
/// <li> <p>0.048 </p> </li>
/// <li> <p>0.036 </p> </li>
/// <li> <p>0.024 </p> </li>
/// <li> <p>0.012 </p> </li>
/// </ul>
/// <p>Use one of the following prices for Rekognition DetectModerationLabels Amazon Augmented AI review tasks. Prices are in US dollars.</p>
/// <ul>
/// <li> <p>1.200 </p> </li>
/// <li> <p>1.080 </p> </li>
/// <li> <p>0.960 </p> </li>
/// <li> <p>0.840 </p> </li>
/// <li> <p>0.720 </p> </li>
/// <li> <p>0.600 </p> </li>
/// <li> <p>0.480 </p> </li>
/// <li> <p>0.360 </p> </li>
/// <li> <p>0.240 </p> </li>
/// <li> <p>0.120 </p> </li>
/// <li> <p>0.072 </p> </li>
/// <li> <p>0.060 </p> </li>
/// <li> <p>0.048 </p> </li>
/// <li> <p>0.036 </p> </li>
/// <li> <p>0.024 </p> </li>
/// <li> <p>0.012 </p> </li>
/// </ul>
/// <p>Use one of the following prices for Amazon Augmented AI custom human review tasks. Prices are in US dollars.</p>
/// <ul>
/// <li> <p>1.200 </p> </li>
/// <li> <p>1.080 </p> </li>
/// <li> <p>0.960 </p> </li>
/// <li> <p>0.840 </p> </li>
/// <li> <p>0.720 </p> </li>
/// <li> <p>0.600 </p> </li>
/// <li> <p>0.480 </p> </li>
/// <li> <p>0.360 </p> </li>
/// <li> <p>0.240 </p> </li>
/// <li> <p>0.120 </p> </li>
/// <li> <p>0.072 </p> </li>
/// <li> <p>0.060 </p> </li>
/// <li> <p>0.048 </p> </li>
/// <li> <p>0.036 </p> </li>
/// <li> <p>0.024 </p> </li>
/// <li> <p>0.012 </p> </li>
/// </ul>
pub fn public_workforce_task_price(&self) -> ::std::option::Option<&crate::types::PublicWorkforceTaskPrice> {
self.public_workforce_task_price.as_ref()
}
}
impl HumanLoopConfig {
/// Creates a new builder-style object to manufacture [`HumanLoopConfig`](crate::types::HumanLoopConfig).
pub fn builder() -> crate::types::builders::HumanLoopConfigBuilder {
crate::types::builders::HumanLoopConfigBuilder::default()
}
}
/// A builder for [`HumanLoopConfig`](crate::types::HumanLoopConfig).
#[non_exhaustive]
#[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::default::Default, ::std::fmt::Debug)]
pub struct HumanLoopConfigBuilder {
pub(crate) workteam_arn: ::std::option::Option<::std::string::String>,
pub(crate) human_task_ui_arn: ::std::option::Option<::std::string::String>,
pub(crate) task_title: ::std::option::Option<::std::string::String>,
pub(crate) task_description: ::std::option::Option<::std::string::String>,
pub(crate) task_count: ::std::option::Option<i32>,
pub(crate) task_availability_lifetime_in_seconds: ::std::option::Option<i32>,
pub(crate) task_time_limit_in_seconds: ::std::option::Option<i32>,
pub(crate) task_keywords: ::std::option::Option<::std::vec::Vec<::std::string::String>>,
pub(crate) public_workforce_task_price: ::std::option::Option<crate::types::PublicWorkforceTaskPrice>,
}
impl HumanLoopConfigBuilder {
/// <p>Amazon Resource Name (ARN) of a team of workers. To learn more about the types of workforces and work teams you can create and use with Amazon A2I, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/sms-workforce-management.html">Create and Manage Workforces</a>.</p>
pub fn workteam_arn(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.workteam_arn = ::std::option::Option::Some(input.into());
self
}
/// <p>Amazon Resource Name (ARN) of a team of workers. To learn more about the types of workforces and work teams you can create and use with Amazon A2I, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/sms-workforce-management.html">Create and Manage Workforces</a>.</p>
pub fn set_workteam_arn(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.workteam_arn = input;
self
}
/// <p>Amazon Resource Name (ARN) of a team of workers. To learn more about the types of workforces and work teams you can create and use with Amazon A2I, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/sms-workforce-management.html">Create and Manage Workforces</a>.</p>
pub fn get_workteam_arn(&self) -> &::std::option::Option<::std::string::String> {
&self.workteam_arn
}
/// <p>The Amazon Resource Name (ARN) of the human task user interface.</p>
/// <p>You can use standard HTML and Crowd HTML Elements to create a custom worker task template. You use this template to create a human task UI.</p>
/// <p>To learn how to create a custom HTML template, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/a2i-custom-templates.html">Create Custom Worker Task Template</a>.</p>
/// <p>To learn how to create a human task UI, which is a worker task template that can be used in a flow definition, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/a2i-worker-template-console.html">Create and Delete a Worker Task Templates</a>.</p>
pub fn human_task_ui_arn(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.human_task_ui_arn = ::std::option::Option::Some(input.into());
self
}
/// <p>The Amazon Resource Name (ARN) of the human task user interface.</p>
/// <p>You can use standard HTML and Crowd HTML Elements to create a custom worker task template. You use this template to create a human task UI.</p>
/// <p>To learn how to create a custom HTML template, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/a2i-custom-templates.html">Create Custom Worker Task Template</a>.</p>
/// <p>To learn how to create a human task UI, which is a worker task template that can be used in a flow definition, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/a2i-worker-template-console.html">Create and Delete a Worker Task Templates</a>.</p>
pub fn set_human_task_ui_arn(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.human_task_ui_arn = input;
self
}
/// <p>The Amazon Resource Name (ARN) of the human task user interface.</p>
/// <p>You can use standard HTML and Crowd HTML Elements to create a custom worker task template. You use this template to create a human task UI.</p>
/// <p>To learn how to create a custom HTML template, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/a2i-custom-templates.html">Create Custom Worker Task Template</a>.</p>
/// <p>To learn how to create a human task UI, which is a worker task template that can be used in a flow definition, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/a2i-worker-template-console.html">Create and Delete a Worker Task Templates</a>.</p>
pub fn get_human_task_ui_arn(&self) -> &::std::option::Option<::std::string::String> {
&self.human_task_ui_arn
}
/// <p>A title for the human worker task.</p>
pub fn task_title(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.task_title = ::std::option::Option::Some(input.into());
self
}
/// <p>A title for the human worker task.</p>
pub fn set_task_title(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.task_title = input;
self
}
/// <p>A title for the human worker task.</p>
pub fn get_task_title(&self) -> &::std::option::Option<::std::string::String> {
&self.task_title
}
/// <p>A description for the human worker task.</p>
pub fn task_description(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.task_description = ::std::option::Option::Some(input.into());
self
}
/// <p>A description for the human worker task.</p>
pub fn set_task_description(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.task_description = input;
self
}
/// <p>A description for the human worker task.</p>
pub fn get_task_description(&self) -> &::std::option::Option<::std::string::String> {
&self.task_description
}
/// <p>The number of distinct workers who will perform the same task on each object. For example, if <code>TaskCount</code> is set to <code>3</code> for an image classification labeling job, three workers will classify each input image. Increasing <code>TaskCount</code> can improve label accuracy.</p>
pub fn task_count(mut self, input: i32) -> Self {
self.task_count = ::std::option::Option::Some(input);
self
}
/// <p>The number of distinct workers who will perform the same task on each object. For example, if <code>TaskCount</code> is set to <code>3</code> for an image classification labeling job, three workers will classify each input image. Increasing <code>TaskCount</code> can improve label accuracy.</p>
pub fn set_task_count(mut self, input: ::std::option::Option<i32>) -> Self {
self.task_count = input;
self
}
/// <p>The number of distinct workers who will perform the same task on each object. For example, if <code>TaskCount</code> is set to <code>3</code> for an image classification labeling job, three workers will classify each input image. Increasing <code>TaskCount</code> can improve label accuracy.</p>
pub fn get_task_count(&self) -> &::std::option::Option<i32> {
&self.task_count
}
/// <p>The length of time that a task remains available for review by human workers.</p>
pub fn task_availability_lifetime_in_seconds(mut self, input: i32) -> Self {
self.task_availability_lifetime_in_seconds = ::std::option::Option::Some(input);
self
}
/// <p>The length of time that a task remains available for review by human workers.</p>
pub fn set_task_availability_lifetime_in_seconds(mut self, input: ::std::option::Option<i32>) -> Self {
self.task_availability_lifetime_in_seconds = input;
self
}
/// <p>The length of time that a task remains available for review by human workers.</p>
pub fn get_task_availability_lifetime_in_seconds(&self) -> &::std::option::Option<i32> {
&self.task_availability_lifetime_in_seconds
}
/// <p>The amount of time that a worker has to complete a task. The default value is 3,600 seconds (1 hour).</p>
pub fn task_time_limit_in_seconds(mut self, input: i32) -> Self {
self.task_time_limit_in_seconds = ::std::option::Option::Some(input);
self
}
/// <p>The amount of time that a worker has to complete a task. The default value is 3,600 seconds (1 hour).</p>
pub fn set_task_time_limit_in_seconds(mut self, input: ::std::option::Option<i32>) -> Self {
self.task_time_limit_in_seconds = input;
self
}
/// <p>The amount of time that a worker has to complete a task. The default value is 3,600 seconds (1 hour).</p>
pub fn get_task_time_limit_in_seconds(&self) -> &::std::option::Option<i32> {
&self.task_time_limit_in_seconds
}
/// Appends an item to `task_keywords`.
///
/// To override the contents of this collection use [`set_task_keywords`](Self::set_task_keywords).
///
/// <p>Keywords used to describe the task so that workers can discover the task.</p>
pub fn task_keywords(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
let mut v = self.task_keywords.unwrap_or_default();
v.push(input.into());
self.task_keywords = ::std::option::Option::Some(v);
self
}
/// <p>Keywords used to describe the task so that workers can discover the task.</p>
pub fn set_task_keywords(mut self, input: ::std::option::Option<::std::vec::Vec<::std::string::String>>) -> Self {
self.task_keywords = input;
self
}
/// <p>Keywords used to describe the task so that workers can discover the task.</p>
pub fn get_task_keywords(&self) -> &::std::option::Option<::std::vec::Vec<::std::string::String>> {
&self.task_keywords
}
/// <p>Defines the amount of money paid to an Amazon Mechanical Turk worker for each task performed. </p>
/// <p>Use one of the following prices for bounding box tasks. Prices are in US dollars and should be based on the complexity of the task; the longer it takes in your initial testing, the more you should offer.</p>
/// <ul>
/// <li> <p>0.036</p> </li>
/// <li> <p>0.048</p> </li>
/// <li> <p>0.060</p> </li>
/// <li> <p>0.072</p> </li>
/// <li> <p>0.120</p> </li>
/// <li> <p>0.240</p> </li>
/// <li> <p>0.360</p> </li>
/// <li> <p>0.480</p> </li>
/// <li> <p>0.600</p> </li>
/// <li> <p>0.720</p> </li>
/// <li> <p>0.840</p> </li>
/// <li> <p>0.960</p> </li>
/// <li> <p>1.080</p> </li>
/// <li> <p>1.200</p> </li>
/// </ul>
/// <p>Use one of the following prices for image classification, text classification, and custom tasks. Prices are in US dollars.</p>
/// <ul>
/// <li> <p>0.012</p> </li>
/// <li> <p>0.024</p> </li>
/// <li> <p>0.036</p> </li>
/// <li> <p>0.048</p> </li>
/// <li> <p>0.060</p> </li>
/// <li> <p>0.072</p> </li>
/// <li> <p>0.120</p> </li>
/// <li> <p>0.240</p> </li>
/// <li> <p>0.360</p> </li>
/// <li> <p>0.480</p> </li>
/// <li> <p>0.600</p> </li>
/// <li> <p>0.720</p> </li>
/// <li> <p>0.840</p> </li>
/// <li> <p>0.960</p> </li>
/// <li> <p>1.080</p> </li>
/// <li> <p>1.200</p> </li>
/// </ul>
/// <p>Use one of the following prices for semantic segmentation tasks. Prices are in US dollars.</p>
/// <ul>
/// <li> <p>0.840</p> </li>
/// <li> <p>0.960</p> </li>
/// <li> <p>1.080</p> </li>
/// <li> <p>1.200</p> </li>
/// </ul>
/// <p>Use one of the following prices for Textract AnalyzeDocument Important Form Key Amazon Augmented AI review tasks. Prices are in US dollars.</p>
/// <ul>
/// <li> <p>2.400 </p> </li>
/// <li> <p>2.280 </p> </li>
/// <li> <p>2.160 </p> </li>
/// <li> <p>2.040 </p> </li>
/// <li> <p>1.920 </p> </li>
/// <li> <p>1.800 </p> </li>
/// <li> <p>1.680 </p> </li>
/// <li> <p>1.560 </p> </li>
/// <li> <p>1.440 </p> </li>
/// <li> <p>1.320 </p> </li>
/// <li> <p>1.200 </p> </li>
/// <li> <p>1.080 </p> </li>
/// <li> <p>0.960 </p> </li>
/// <li> <p>0.840 </p> </li>
/// <li> <p>0.720 </p> </li>
/// <li> <p>0.600 </p> </li>
/// <li> <p>0.480 </p> </li>
/// <li> <p>0.360 </p> </li>
/// <li> <p>0.240 </p> </li>
/// <li> <p>0.120 </p> </li>
/// <li> <p>0.072 </p> </li>
/// <li> <p>0.060 </p> </li>
/// <li> <p>0.048 </p> </li>
/// <li> <p>0.036 </p> </li>
/// <li> <p>0.024 </p> </li>
/// <li> <p>0.012 </p> </li>
/// </ul>
/// <p>Use one of the following prices for Rekognition DetectModerationLabels Amazon Augmented AI review tasks. Prices are in US dollars.</p>
/// <ul>
/// <li> <p>1.200 </p> </li>
/// <li> <p>1.080 </p> </li>
/// <li> <p>0.960 </p> </li>
/// <li> <p>0.840 </p> </li>
/// <li> <p>0.720 </p> </li>
/// <li> <p>0.600 </p> </li>
/// <li> <p>0.480 </p> </li>
/// <li> <p>0.360 </p> </li>
/// <li> <p>0.240 </p> </li>
/// <li> <p>0.120 </p> </li>
/// <li> <p>0.072 </p> </li>
/// <li> <p>0.060 </p> </li>
/// <li> <p>0.048 </p> </li>
/// <li> <p>0.036 </p> </li>
/// <li> <p>0.024 </p> </li>
/// <li> <p>0.012 </p> </li>
/// </ul>
/// <p>Use one of the following prices for Amazon Augmented AI custom human review tasks. Prices are in US dollars.</p>
/// <ul>
/// <li> <p>1.200 </p> </li>
/// <li> <p>1.080 </p> </li>
/// <li> <p>0.960 </p> </li>
/// <li> <p>0.840 </p> </li>
/// <li> <p>0.720 </p> </li>
/// <li> <p>0.600 </p> </li>
/// <li> <p>0.480 </p> </li>
/// <li> <p>0.360 </p> </li>
/// <li> <p>0.240 </p> </li>
/// <li> <p>0.120 </p> </li>
/// <li> <p>0.072 </p> </li>
/// <li> <p>0.060 </p> </li>
/// <li> <p>0.048 </p> </li>
/// <li> <p>0.036 </p> </li>
/// <li> <p>0.024 </p> </li>
/// <li> <p>0.012 </p> </li>
/// </ul>
pub fn public_workforce_task_price(mut self, input: crate::types::PublicWorkforceTaskPrice) -> Self {
self.public_workforce_task_price = ::std::option::Option::Some(input);
self
}
/// <p>Defines the amount of money paid to an Amazon Mechanical Turk worker for each task performed. </p>
/// <p>Use one of the following prices for bounding box tasks. Prices are in US dollars and should be based on the complexity of the task; the longer it takes in your initial testing, the more you should offer.</p>
/// <ul>
/// <li> <p>0.036</p> </li>
/// <li> <p>0.048</p> </li>
/// <li> <p>0.060</p> </li>
/// <li> <p>0.072</p> </li>
/// <li> <p>0.120</p> </li>
/// <li> <p>0.240</p> </li>
/// <li> <p>0.360</p> </li>
/// <li> <p>0.480</p> </li>
/// <li> <p>0.600</p> </li>
/// <li> <p>0.720</p> </li>
/// <li> <p>0.840</p> </li>
/// <li> <p>0.960</p> </li>
/// <li> <p>1.080</p> </li>
/// <li> <p>1.200</p> </li>
/// </ul>
/// <p>Use one of the following prices for image classification, text classification, and custom tasks. Prices are in US dollars.</p>
/// <ul>
/// <li> <p>0.012</p> </li>
/// <li> <p>0.024</p> </li>
/// <li> <p>0.036</p> </li>
/// <li> <p>0.048</p> </li>
/// <li> <p>0.060</p> </li>
/// <li> <p>0.072</p> </li>
/// <li> <p>0.120</p> </li>
/// <li> <p>0.240</p> </li>
/// <li> <p>0.360</p> </li>
/// <li> <p>0.480</p> </li>
/// <li> <p>0.600</p> </li>
/// <li> <p>0.720</p> </li>
/// <li> <p>0.840</p> </li>
/// <li> <p>0.960</p> </li>
/// <li> <p>1.080</p> </li>
/// <li> <p>1.200</p> </li>
/// </ul>
/// <p>Use one of the following prices for semantic segmentation tasks. Prices are in US dollars.</p>
/// <ul>
/// <li> <p>0.840</p> </li>
/// <li> <p>0.960</p> </li>
/// <li> <p>1.080</p> </li>
/// <li> <p>1.200</p> </li>
/// </ul>
/// <p>Use one of the following prices for Textract AnalyzeDocument Important Form Key Amazon Augmented AI review tasks. Prices are in US dollars.</p>
/// <ul>
/// <li> <p>2.400 </p> </li>
/// <li> <p>2.280 </p> </li>
/// <li> <p>2.160 </p> </li>
/// <li> <p>2.040 </p> </li>
/// <li> <p>1.920 </p> </li>
/// <li> <p>1.800 </p> </li>
/// <li> <p>1.680 </p> </li>
/// <li> <p>1.560 </p> </li>
/// <li> <p>1.440 </p> </li>
/// <li> <p>1.320 </p> </li>
/// <li> <p>1.200 </p> </li>
/// <li> <p>1.080 </p> </li>
/// <li> <p>0.960 </p> </li>
/// <li> <p>0.840 </p> </li>
/// <li> <p>0.720 </p> </li>
/// <li> <p>0.600 </p> </li>
/// <li> <p>0.480 </p> </li>
/// <li> <p>0.360 </p> </li>
/// <li> <p>0.240 </p> </li>
/// <li> <p>0.120 </p> </li>
/// <li> <p>0.072 </p> </li>
/// <li> <p>0.060 </p> </li>
/// <li> <p>0.048 </p> </li>
/// <li> <p>0.036 </p> </li>
/// <li> <p>0.024 </p> </li>
/// <li> <p>0.012 </p> </li>
/// </ul>
/// <p>Use one of the following prices for Rekognition DetectModerationLabels Amazon Augmented AI review tasks. Prices are in US dollars.</p>
/// <ul>
/// <li> <p>1.200 </p> </li>
/// <li> <p>1.080 </p> </li>
/// <li> <p>0.960 </p> </li>
/// <li> <p>0.840 </p> </li>
/// <li> <p>0.720 </p> </li>
/// <li> <p>0.600 </p> </li>
/// <li> <p>0.480 </p> </li>
/// <li> <p>0.360 </p> </li>
/// <li> <p>0.240 </p> </li>
/// <li> <p>0.120 </p> </li>
/// <li> <p>0.072 </p> </li>
/// <li> <p>0.060 </p> </li>
/// <li> <p>0.048 </p> </li>
/// <li> <p>0.036 </p> </li>
/// <li> <p>0.024 </p> </li>
/// <li> <p>0.012 </p> </li>
/// </ul>
/// <p>Use one of the following prices for Amazon Augmented AI custom human review tasks. Prices are in US dollars.</p>
/// <ul>
/// <li> <p>1.200 </p> </li>
/// <li> <p>1.080 </p> </li>
/// <li> <p>0.960 </p> </li>
/// <li> <p>0.840 </p> </li>
/// <li> <p>0.720 </p> </li>
/// <li> <p>0.600 </p> </li>
/// <li> <p>0.480 </p> </li>
/// <li> <p>0.360 </p> </li>
/// <li> <p>0.240 </p> </li>
/// <li> <p>0.120 </p> </li>
/// <li> <p>0.072 </p> </li>
/// <li> <p>0.060 </p> </li>
/// <li> <p>0.048 </p> </li>
/// <li> <p>0.036 </p> </li>
/// <li> <p>0.024 </p> </li>
/// <li> <p>0.012 </p> </li>
/// </ul>
pub fn set_public_workforce_task_price(mut self, input: ::std::option::Option<crate::types::PublicWorkforceTaskPrice>) -> Self {
self.public_workforce_task_price = input;
self
}
/// <p>Defines the amount of money paid to an Amazon Mechanical Turk worker for each task performed. </p>
/// <p>Use one of the following prices for bounding box tasks. Prices are in US dollars and should be based on the complexity of the task; the longer it takes in your initial testing, the more you should offer.</p>
/// <ul>
/// <li> <p>0.036</p> </li>
/// <li> <p>0.048</p> </li>
/// <li> <p>0.060</p> </li>
/// <li> <p>0.072</p> </li>
/// <li> <p>0.120</p> </li>
/// <li> <p>0.240</p> </li>
/// <li> <p>0.360</p> </li>
/// <li> <p>0.480</p> </li>
/// <li> <p>0.600</p> </li>
/// <li> <p>0.720</p> </li>
/// <li> <p>0.840</p> </li>
/// <li> <p>0.960</p> </li>
/// <li> <p>1.080</p> </li>
/// <li> <p>1.200</p> </li>
/// </ul>
/// <p>Use one of the following prices for image classification, text classification, and custom tasks. Prices are in US dollars.</p>
/// <ul>
/// <li> <p>0.012</p> </li>
/// <li> <p>0.024</p> </li>
/// <li> <p>0.036</p> </li>
/// <li> <p>0.048</p> </li>
/// <li> <p>0.060</p> </li>
/// <li> <p>0.072</p> </li>
/// <li> <p>0.120</p> </li>
/// <li> <p>0.240</p> </li>
/// <li> <p>0.360</p> </li>
/// <li> <p>0.480</p> </li>
/// <li> <p>0.600</p> </li>
/// <li> <p>0.720</p> </li>
/// <li> <p>0.840</p> </li>
/// <li> <p>0.960</p> </li>
/// <li> <p>1.080</p> </li>
/// <li> <p>1.200</p> </li>
/// </ul>
/// <p>Use one of the following prices for semantic segmentation tasks. Prices are in US dollars.</p>
/// <ul>
/// <li> <p>0.840</p> </li>
/// <li> <p>0.960</p> </li>
/// <li> <p>1.080</p> </li>
/// <li> <p>1.200</p> </li>
/// </ul>
/// <p>Use one of the following prices for Textract AnalyzeDocument Important Form Key Amazon Augmented AI review tasks. Prices are in US dollars.</p>
/// <ul>
/// <li> <p>2.400 </p> </li>
/// <li> <p>2.280 </p> </li>
/// <li> <p>2.160 </p> </li>
/// <li> <p>2.040 </p> </li>
/// <li> <p>1.920 </p> </li>
/// <li> <p>1.800 </p> </li>
/// <li> <p>1.680 </p> </li>
/// <li> <p>1.560 </p> </li>
/// <li> <p>1.440 </p> </li>
/// <li> <p>1.320 </p> </li>
/// <li> <p>1.200 </p> </li>
/// <li> <p>1.080 </p> </li>
/// <li> <p>0.960 </p> </li>
/// <li> <p>0.840 </p> </li>
/// <li> <p>0.720 </p> </li>
/// <li> <p>0.600 </p> </li>
/// <li> <p>0.480 </p> </li>
/// <li> <p>0.360 </p> </li>
/// <li> <p>0.240 </p> </li>
/// <li> <p>0.120 </p> </li>
/// <li> <p>0.072 </p> </li>
/// <li> <p>0.060 </p> </li>
/// <li> <p>0.048 </p> </li>
/// <li> <p>0.036 </p> </li>
/// <li> <p>0.024 </p> </li>
/// <li> <p>0.012 </p> </li>
/// </ul>
/// <p>Use one of the following prices for Rekognition DetectModerationLabels Amazon Augmented AI review tasks. Prices are in US dollars.</p>
/// <ul>
/// <li> <p>1.200 </p> </li>
/// <li> <p>1.080 </p> </li>
/// <li> <p>0.960 </p> </li>
/// <li> <p>0.840 </p> </li>
/// <li> <p>0.720 </p> </li>
/// <li> <p>0.600 </p> </li>
/// <li> <p>0.480 </p> </li>
/// <li> <p>0.360 </p> </li>
/// <li> <p>0.240 </p> </li>
/// <li> <p>0.120 </p> </li>
/// <li> <p>0.072 </p> </li>
/// <li> <p>0.060 </p> </li>
/// <li> <p>0.048 </p> </li>
/// <li> <p>0.036 </p> </li>
/// <li> <p>0.024 </p> </li>
/// <li> <p>0.012 </p> </li>
/// </ul>
/// <p>Use one of the following prices for Amazon Augmented AI custom human review tasks. Prices are in US dollars.</p>
/// <ul>
/// <li> <p>1.200 </p> </li>
/// <li> <p>1.080 </p> </li>
/// <li> <p>0.960 </p> </li>
/// <li> <p>0.840 </p> </li>
/// <li> <p>0.720 </p> </li>
/// <li> <p>0.600 </p> </li>
/// <li> <p>0.480 </p> </li>
/// <li> <p>0.360 </p> </li>
/// <li> <p>0.240 </p> </li>
/// <li> <p>0.120 </p> </li>
/// <li> <p>0.072 </p> </li>
/// <li> <p>0.060 </p> </li>
/// <li> <p>0.048 </p> </li>
/// <li> <p>0.036 </p> </li>
/// <li> <p>0.024 </p> </li>
/// <li> <p>0.012 </p> </li>
/// </ul>
pub fn get_public_workforce_task_price(&self) -> &::std::option::Option<crate::types::PublicWorkforceTaskPrice> {
&self.public_workforce_task_price
}
/// Consumes the builder and constructs a [`HumanLoopConfig`](crate::types::HumanLoopConfig).
pub fn build(self) -> crate::types::HumanLoopConfig {
crate::types::HumanLoopConfig {
workteam_arn: self.workteam_arn,
human_task_ui_arn: self.human_task_ui_arn,
task_title: self.task_title,
task_description: self.task_description,
task_count: self.task_count,
task_availability_lifetime_in_seconds: self.task_availability_lifetime_in_seconds,
task_time_limit_in_seconds: self.task_time_limit_in_seconds,
task_keywords: self.task_keywords,
public_workforce_task_price: self.public_workforce_task_price,
}
}
}