// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub use crate::operation::put_scheduled_action::_put_scheduled_action_output::PutScheduledActionOutputBuilder;

pub use crate::operation::put_scheduled_action::_put_scheduled_action_input::PutScheduledActionInputBuilder;

impl crate::operation::put_scheduled_action::builders::PutScheduledActionInputBuilder {
    /// Sends a request with this input using the given client.
    pub async fn send_with(
        self,
        client: &crate::Client,
    ) -> ::std::result::Result<
        crate::operation::put_scheduled_action::PutScheduledActionOutput,
        ::aws_smithy_runtime_api::client::result::SdkError<
            crate::operation::put_scheduled_action::PutScheduledActionError,
            ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
        >,
    > {
        let mut fluent_builder = client.put_scheduled_action();
        fluent_builder.inner = self;
        fluent_builder.send().await
    }
}
/// Fluent builder constructing a request to `PutScheduledAction`.
///
/// <p>Creates or updates a scheduled action for an Application Auto Scaling scalable target.</p>
/// <p>Each scalable target is identified by a service namespace, resource ID, and scalable dimension. A scheduled action applies to the scalable target identified by those three attributes. You cannot create a scheduled action until you have registered the resource as a scalable target.</p>
/// <p>When you specify start and end times with a recurring schedule using a cron expression or rates, they form the boundaries for when the recurring action starts and stops.</p>
/// <p>To update a scheduled action, specify the parameters that you want to change. If you don't specify start and end times, the old values are deleted.</p>
/// <p>For more information, see <a href="https://docs.aws.amazon.com/autoscaling/application/userguide/application-auto-scaling-scheduled-scaling.html">Scheduled scaling</a> in the <i>Application Auto Scaling User Guide</i>.</p><note>
/// <p>If a scalable target is deregistered, the scalable target is no longer available to run scheduled actions. Any scheduled actions that were specified for the scalable target are deleted.</p>
/// </note>
#[derive(::std::clone::Clone, ::std::fmt::Debug)]
pub struct PutScheduledActionFluentBuilder {
    handle: ::std::sync::Arc<crate::client::Handle>,
    inner: crate::operation::put_scheduled_action::builders::PutScheduledActionInputBuilder,
    config_override: ::std::option::Option<crate::config::Builder>,
}
impl
    crate::client::customize::internal::CustomizableSend<
        crate::operation::put_scheduled_action::PutScheduledActionOutput,
        crate::operation::put_scheduled_action::PutScheduledActionError,
    > for PutScheduledActionFluentBuilder
{
    fn send(
        self,
        config_override: crate::config::Builder,
    ) -> crate::client::customize::internal::BoxFuture<
        crate::client::customize::internal::SendResult<
            crate::operation::put_scheduled_action::PutScheduledActionOutput,
            crate::operation::put_scheduled_action::PutScheduledActionError,
        >,
    > {
        ::std::boxed::Box::pin(async move { self.config_override(config_override).send().await })
    }
}
impl PutScheduledActionFluentBuilder {
    /// Creates a new `PutScheduledActionFluentBuilder`.
    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 PutScheduledAction as a reference.
    pub fn as_input(&self) -> &crate::operation::put_scheduled_action::builders::PutScheduledActionInputBuilder {
        &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::put_scheduled_action::PutScheduledActionOutput,
        ::aws_smithy_runtime_api::client::result::SdkError<
            crate::operation::put_scheduled_action::PutScheduledActionError,
            ::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::put_scheduled_action::PutScheduledAction::operation_runtime_plugins(
            self.handle.runtime_plugins.clone(),
            &self.handle.conf,
            self.config_override,
        );
        crate::operation::put_scheduled_action::PutScheduledAction::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::put_scheduled_action::PutScheduledActionOutput,
        crate::operation::put_scheduled_action::PutScheduledActionError,
        Self,
    > {
        crate::client::customize::CustomizableOperation::new(self)
    }
    pub(crate) fn config_override(mut self, config_override: impl ::std::convert::Into<crate::config::Builder>) -> Self {
        self.set_config_override(::std::option::Option::Some(config_override.into()));
        self
    }

    pub(crate) fn set_config_override(&mut self, config_override: ::std::option::Option<crate::config::Builder>) -> &mut Self {
        self.config_override = config_override;
        self
    }
    /// <p>The namespace of the Amazon Web Services service that provides the resource. For a resource provided by your own application or service, use <code>custom-resource</code> instead.</p>
    pub fn service_namespace(mut self, input: crate::types::ServiceNamespace) -> Self {
        self.inner = self.inner.service_namespace(input);
        self
    }
    /// <p>The namespace of the Amazon Web Services service that provides the resource. For a resource provided by your own application or service, use <code>custom-resource</code> instead.</p>
    pub fn set_service_namespace(mut self, input: ::std::option::Option<crate::types::ServiceNamespace>) -> Self {
        self.inner = self.inner.set_service_namespace(input);
        self
    }
    /// <p>The namespace of the Amazon Web Services service that provides the resource. For a resource provided by your own application or service, use <code>custom-resource</code> instead.</p>
    pub fn get_service_namespace(&self) -> &::std::option::Option<crate::types::ServiceNamespace> {
        self.inner.get_service_namespace()
    }
    /// <p>The schedule for this action. The following formats are supported:</p>
    /// <ul>
    /// <li>
    /// <p>At expressions - "<code>at(<i>yyyy</i>-<i>mm</i>-<i>dd</i>T<i>hh</i>:<i>mm</i>:<i>ss</i>)</code>"</p></li>
    /// <li>
    /// <p>Rate expressions - "<code>rate(<i>value</i> <i>unit</i>)</code>"</p></li>
    /// <li>
    /// <p>Cron expressions - "<code>cron(<i>fields</i>)</code>"</p></li>
    /// </ul>
    /// <p>At expressions are useful for one-time schedules. Cron expressions are useful for scheduled actions that run periodically at a specified date and time, and rate expressions are useful for scheduled actions that run at a regular interval.</p>
    /// <p>At and cron expressions use Universal Coordinated Time (UTC) by default.</p>
    /// <p>The cron format consists of six fields separated by white spaces: \[Minutes\] \[Hours\] \[Day_of_Month\] \[Month\] \[Day_of_Week\] \[Year\].</p>
    /// <p>For rate expressions, <i>value</i> is a positive integer and <i>unit</i> is <code>minute</code> | <code>minutes</code> | <code>hour</code> | <code>hours</code> | <code>day</code> | <code>days</code>.</p>
    /// <p>For more information, see <a href="https://docs.aws.amazon.com/autoscaling/application/userguide/scheduled-scaling-using-cron-expressions.html">Schedule recurring scaling actions using cron expressions</a> in the <i>Application Auto Scaling User Guide</i>.</p>
    pub fn schedule(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.schedule(input.into());
        self
    }
    /// <p>The schedule for this action. The following formats are supported:</p>
    /// <ul>
    /// <li>
    /// <p>At expressions - "<code>at(<i>yyyy</i>-<i>mm</i>-<i>dd</i>T<i>hh</i>:<i>mm</i>:<i>ss</i>)</code>"</p></li>
    /// <li>
    /// <p>Rate expressions - "<code>rate(<i>value</i> <i>unit</i>)</code>"</p></li>
    /// <li>
    /// <p>Cron expressions - "<code>cron(<i>fields</i>)</code>"</p></li>
    /// </ul>
    /// <p>At expressions are useful for one-time schedules. Cron expressions are useful for scheduled actions that run periodically at a specified date and time, and rate expressions are useful for scheduled actions that run at a regular interval.</p>
    /// <p>At and cron expressions use Universal Coordinated Time (UTC) by default.</p>
    /// <p>The cron format consists of six fields separated by white spaces: \[Minutes\] \[Hours\] \[Day_of_Month\] \[Month\] \[Day_of_Week\] \[Year\].</p>
    /// <p>For rate expressions, <i>value</i> is a positive integer and <i>unit</i> is <code>minute</code> | <code>minutes</code> | <code>hour</code> | <code>hours</code> | <code>day</code> | <code>days</code>.</p>
    /// <p>For more information, see <a href="https://docs.aws.amazon.com/autoscaling/application/userguide/scheduled-scaling-using-cron-expressions.html">Schedule recurring scaling actions using cron expressions</a> in the <i>Application Auto Scaling User Guide</i>.</p>
    pub fn set_schedule(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_schedule(input);
        self
    }
    /// <p>The schedule for this action. The following formats are supported:</p>
    /// <ul>
    /// <li>
    /// <p>At expressions - "<code>at(<i>yyyy</i>-<i>mm</i>-<i>dd</i>T<i>hh</i>:<i>mm</i>:<i>ss</i>)</code>"</p></li>
    /// <li>
    /// <p>Rate expressions - "<code>rate(<i>value</i> <i>unit</i>)</code>"</p></li>
    /// <li>
    /// <p>Cron expressions - "<code>cron(<i>fields</i>)</code>"</p></li>
    /// </ul>
    /// <p>At expressions are useful for one-time schedules. Cron expressions are useful for scheduled actions that run periodically at a specified date and time, and rate expressions are useful for scheduled actions that run at a regular interval.</p>
    /// <p>At and cron expressions use Universal Coordinated Time (UTC) by default.</p>
    /// <p>The cron format consists of six fields separated by white spaces: \[Minutes\] \[Hours\] \[Day_of_Month\] \[Month\] \[Day_of_Week\] \[Year\].</p>
    /// <p>For rate expressions, <i>value</i> is a positive integer and <i>unit</i> is <code>minute</code> | <code>minutes</code> | <code>hour</code> | <code>hours</code> | <code>day</code> | <code>days</code>.</p>
    /// <p>For more information, see <a href="https://docs.aws.amazon.com/autoscaling/application/userguide/scheduled-scaling-using-cron-expressions.html">Schedule recurring scaling actions using cron expressions</a> in the <i>Application Auto Scaling User Guide</i>.</p>
    pub fn get_schedule(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_schedule()
    }
    /// <p>Specifies the time zone used when setting a scheduled action by using an at or cron expression. If a time zone is not provided, UTC is used by default.</p>
    /// <p>Valid values are the canonical names of the IANA time zones supported by Joda-Time (such as <code>Etc/GMT+9</code> or <code>Pacific/Tahiti</code>). For more information, see <a href="https://www.joda.org/joda-time/timezones.html">https://www.joda.org/joda-time/timezones.html</a>.</p>
    pub fn timezone(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.timezone(input.into());
        self
    }
    /// <p>Specifies the time zone used when setting a scheduled action by using an at or cron expression. If a time zone is not provided, UTC is used by default.</p>
    /// <p>Valid values are the canonical names of the IANA time zones supported by Joda-Time (such as <code>Etc/GMT+9</code> or <code>Pacific/Tahiti</code>). For more information, see <a href="https://www.joda.org/joda-time/timezones.html">https://www.joda.org/joda-time/timezones.html</a>.</p>
    pub fn set_timezone(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_timezone(input);
        self
    }
    /// <p>Specifies the time zone used when setting a scheduled action by using an at or cron expression. If a time zone is not provided, UTC is used by default.</p>
    /// <p>Valid values are the canonical names of the IANA time zones supported by Joda-Time (such as <code>Etc/GMT+9</code> or <code>Pacific/Tahiti</code>). For more information, see <a href="https://www.joda.org/joda-time/timezones.html">https://www.joda.org/joda-time/timezones.html</a>.</p>
    pub fn get_timezone(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_timezone()
    }
    /// <p>The name of the scheduled action. This name must be unique among all other scheduled actions on the specified scalable target.</p>
    pub fn scheduled_action_name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.scheduled_action_name(input.into());
        self
    }
    /// <p>The name of the scheduled action. This name must be unique among all other scheduled actions on the specified scalable target.</p>
    pub fn set_scheduled_action_name(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_scheduled_action_name(input);
        self
    }
    /// <p>The name of the scheduled action. This name must be unique among all other scheduled actions on the specified scalable target.</p>
    pub fn get_scheduled_action_name(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_scheduled_action_name()
    }
    /// <p>The identifier of the resource associated with the scheduled action. This string consists of the resource type and unique identifier.</p>
    /// <ul>
    /// <li>
    /// <p>ECS service - The resource type is <code>service</code> and the unique identifier is the cluster name and service name. Example: <code>service/my-cluster/my-service</code>.</p></li>
    /// <li>
    /// <p>Spot Fleet - The resource type is <code>spot-fleet-request</code> and the unique identifier is the Spot Fleet request ID. Example: <code>spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE</code>.</p></li>
    /// <li>
    /// <p>EMR cluster - The resource type is <code>instancegroup</code> and the unique identifier is the cluster ID and instance group ID. Example: <code>instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0</code>.</p></li>
    /// <li>
    /// <p>AppStream 2.0 fleet - The resource type is <code>fleet</code> and the unique identifier is the fleet name. Example: <code>fleet/sample-fleet</code>.</p></li>
    /// <li>
    /// <p>DynamoDB table - The resource type is <code>table</code> and the unique identifier is the table name. Example: <code>table/my-table</code>.</p></li>
    /// <li>
    /// <p>DynamoDB global secondary index - The resource type is <code>index</code> and the unique identifier is the index name. Example: <code>table/my-table/index/my-table-index</code>.</p></li>
    /// <li>
    /// <p>Aurora DB cluster - The resource type is <code>cluster</code> and the unique identifier is the cluster name. Example: <code>cluster:my-db-cluster</code>.</p></li>
    /// <li>
    /// <p>SageMaker endpoint variant - The resource type is <code>variant</code> and the unique identifier is the resource ID. Example: <code>endpoint/my-end-point/variant/KMeansClustering</code>.</p></li>
    /// <li>
    /// <p>Custom resources are not supported with a resource type. This parameter must specify the <code>OutputValue</code> from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our <a href="https://github.com/aws/aws-auto-scaling-custom-resource">GitHub repository</a>.</p></li>
    /// <li>
    /// <p>Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: <code>arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE</code>.</p></li>
    /// <li>
    /// <p>Amazon Comprehend entity recognizer endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: <code>arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE</code>.</p></li>
    /// <li>
    /// <p>Lambda provisioned concurrency - The resource type is <code>function</code> and the unique identifier is the function name with a function version or alias name suffix that is not <code>$LATEST</code>. Example: <code>function:my-function:prod</code> or <code>function:my-function:1</code>.</p></li>
    /// <li>
    /// <p>Amazon Keyspaces table - The resource type is <code>table</code> and the unique identifier is the table name. Example: <code>keyspace/mykeyspace/table/mytable</code>.</p></li>
    /// <li>
    /// <p>Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. Example: <code>arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5</code>.</p></li>
    /// <li>
    /// <p>Amazon ElastiCache replication group - The resource type is <code>replication-group</code> and the unique identifier is the replication group name. Example: <code>replication-group/mycluster</code>.</p></li>
    /// <li>
    /// <p>Neptune cluster - The resource type is <code>cluster</code> and the unique identifier is the cluster name. Example: <code>cluster:mycluster</code>.</p></li>
    /// <li>
    /// <p>SageMaker serverless endpoint - The resource type is <code>variant</code> and the unique identifier is the resource ID. Example: <code>endpoint/my-end-point/variant/KMeansClustering</code>.</p></li>
    /// <li>
    /// <p>SageMaker inference component - The resource type is <code>inference-component</code> and the unique identifier is the resource ID. Example: <code>inference-component/my-inference-component</code>.</p></li>
    /// <li>
    /// <p>Pool of WorkSpaces - The resource type is <code>workspacespool</code> and the unique identifier is the pool ID. Example: <code>workspacespool/wspool-123456</code>.</p></li>
    /// </ul>
    pub fn resource_id(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.resource_id(input.into());
        self
    }
    /// <p>The identifier of the resource associated with the scheduled action. This string consists of the resource type and unique identifier.</p>
    /// <ul>
    /// <li>
    /// <p>ECS service - The resource type is <code>service</code> and the unique identifier is the cluster name and service name. Example: <code>service/my-cluster/my-service</code>.</p></li>
    /// <li>
    /// <p>Spot Fleet - The resource type is <code>spot-fleet-request</code> and the unique identifier is the Spot Fleet request ID. Example: <code>spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE</code>.</p></li>
    /// <li>
    /// <p>EMR cluster - The resource type is <code>instancegroup</code> and the unique identifier is the cluster ID and instance group ID. Example: <code>instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0</code>.</p></li>
    /// <li>
    /// <p>AppStream 2.0 fleet - The resource type is <code>fleet</code> and the unique identifier is the fleet name. Example: <code>fleet/sample-fleet</code>.</p></li>
    /// <li>
    /// <p>DynamoDB table - The resource type is <code>table</code> and the unique identifier is the table name. Example: <code>table/my-table</code>.</p></li>
    /// <li>
    /// <p>DynamoDB global secondary index - The resource type is <code>index</code> and the unique identifier is the index name. Example: <code>table/my-table/index/my-table-index</code>.</p></li>
    /// <li>
    /// <p>Aurora DB cluster - The resource type is <code>cluster</code> and the unique identifier is the cluster name. Example: <code>cluster:my-db-cluster</code>.</p></li>
    /// <li>
    /// <p>SageMaker endpoint variant - The resource type is <code>variant</code> and the unique identifier is the resource ID. Example: <code>endpoint/my-end-point/variant/KMeansClustering</code>.</p></li>
    /// <li>
    /// <p>Custom resources are not supported with a resource type. This parameter must specify the <code>OutputValue</code> from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our <a href="https://github.com/aws/aws-auto-scaling-custom-resource">GitHub repository</a>.</p></li>
    /// <li>
    /// <p>Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: <code>arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE</code>.</p></li>
    /// <li>
    /// <p>Amazon Comprehend entity recognizer endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: <code>arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE</code>.</p></li>
    /// <li>
    /// <p>Lambda provisioned concurrency - The resource type is <code>function</code> and the unique identifier is the function name with a function version or alias name suffix that is not <code>$LATEST</code>. Example: <code>function:my-function:prod</code> or <code>function:my-function:1</code>.</p></li>
    /// <li>
    /// <p>Amazon Keyspaces table - The resource type is <code>table</code> and the unique identifier is the table name. Example: <code>keyspace/mykeyspace/table/mytable</code>.</p></li>
    /// <li>
    /// <p>Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. Example: <code>arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5</code>.</p></li>
    /// <li>
    /// <p>Amazon ElastiCache replication group - The resource type is <code>replication-group</code> and the unique identifier is the replication group name. Example: <code>replication-group/mycluster</code>.</p></li>
    /// <li>
    /// <p>Neptune cluster - The resource type is <code>cluster</code> and the unique identifier is the cluster name. Example: <code>cluster:mycluster</code>.</p></li>
    /// <li>
    /// <p>SageMaker serverless endpoint - The resource type is <code>variant</code> and the unique identifier is the resource ID. Example: <code>endpoint/my-end-point/variant/KMeansClustering</code>.</p></li>
    /// <li>
    /// <p>SageMaker inference component - The resource type is <code>inference-component</code> and the unique identifier is the resource ID. Example: <code>inference-component/my-inference-component</code>.</p></li>
    /// <li>
    /// <p>Pool of WorkSpaces - The resource type is <code>workspacespool</code> and the unique identifier is the pool ID. Example: <code>workspacespool/wspool-123456</code>.</p></li>
    /// </ul>
    pub fn set_resource_id(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_resource_id(input);
        self
    }
    /// <p>The identifier of the resource associated with the scheduled action. This string consists of the resource type and unique identifier.</p>
    /// <ul>
    /// <li>
    /// <p>ECS service - The resource type is <code>service</code> and the unique identifier is the cluster name and service name. Example: <code>service/my-cluster/my-service</code>.</p></li>
    /// <li>
    /// <p>Spot Fleet - The resource type is <code>spot-fleet-request</code> and the unique identifier is the Spot Fleet request ID. Example: <code>spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE</code>.</p></li>
    /// <li>
    /// <p>EMR cluster - The resource type is <code>instancegroup</code> and the unique identifier is the cluster ID and instance group ID. Example: <code>instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0</code>.</p></li>
    /// <li>
    /// <p>AppStream 2.0 fleet - The resource type is <code>fleet</code> and the unique identifier is the fleet name. Example: <code>fleet/sample-fleet</code>.</p></li>
    /// <li>
    /// <p>DynamoDB table - The resource type is <code>table</code> and the unique identifier is the table name. Example: <code>table/my-table</code>.</p></li>
    /// <li>
    /// <p>DynamoDB global secondary index - The resource type is <code>index</code> and the unique identifier is the index name. Example: <code>table/my-table/index/my-table-index</code>.</p></li>
    /// <li>
    /// <p>Aurora DB cluster - The resource type is <code>cluster</code> and the unique identifier is the cluster name. Example: <code>cluster:my-db-cluster</code>.</p></li>
    /// <li>
    /// <p>SageMaker endpoint variant - The resource type is <code>variant</code> and the unique identifier is the resource ID. Example: <code>endpoint/my-end-point/variant/KMeansClustering</code>.</p></li>
    /// <li>
    /// <p>Custom resources are not supported with a resource type. This parameter must specify the <code>OutputValue</code> from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our <a href="https://github.com/aws/aws-auto-scaling-custom-resource">GitHub repository</a>.</p></li>
    /// <li>
    /// <p>Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: <code>arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE</code>.</p></li>
    /// <li>
    /// <p>Amazon Comprehend entity recognizer endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: <code>arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE</code>.</p></li>
    /// <li>
    /// <p>Lambda provisioned concurrency - The resource type is <code>function</code> and the unique identifier is the function name with a function version or alias name suffix that is not <code>$LATEST</code>. Example: <code>function:my-function:prod</code> or <code>function:my-function:1</code>.</p></li>
    /// <li>
    /// <p>Amazon Keyspaces table - The resource type is <code>table</code> and the unique identifier is the table name. Example: <code>keyspace/mykeyspace/table/mytable</code>.</p></li>
    /// <li>
    /// <p>Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. Example: <code>arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5</code>.</p></li>
    /// <li>
    /// <p>Amazon ElastiCache replication group - The resource type is <code>replication-group</code> and the unique identifier is the replication group name. Example: <code>replication-group/mycluster</code>.</p></li>
    /// <li>
    /// <p>Neptune cluster - The resource type is <code>cluster</code> and the unique identifier is the cluster name. Example: <code>cluster:mycluster</code>.</p></li>
    /// <li>
    /// <p>SageMaker serverless endpoint - The resource type is <code>variant</code> and the unique identifier is the resource ID. Example: <code>endpoint/my-end-point/variant/KMeansClustering</code>.</p></li>
    /// <li>
    /// <p>SageMaker inference component - The resource type is <code>inference-component</code> and the unique identifier is the resource ID. Example: <code>inference-component/my-inference-component</code>.</p></li>
    /// <li>
    /// <p>Pool of WorkSpaces - The resource type is <code>workspacespool</code> and the unique identifier is the pool ID. Example: <code>workspacespool/wspool-123456</code>.</p></li>
    /// </ul>
    pub fn get_resource_id(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_resource_id()
    }
    /// <p>The scalable dimension. This string consists of the service namespace, resource type, and scaling property.</p>
    /// <ul>
    /// <li>
    /// <p><code>ecs:service:DesiredCount</code> - The task count of an ECS service.</p></li>
    /// <li>
    /// <p><code>elasticmapreduce:instancegroup:InstanceCount</code> - The instance count of an EMR Instance Group.</p></li>
    /// <li>
    /// <p><code>ec2:spot-fleet-request:TargetCapacity</code> - The target capacity of a Spot Fleet.</p></li>
    /// <li>
    /// <p><code>appstream:fleet:DesiredCapacity</code> - The capacity of an AppStream 2.0 fleet.</p></li>
    /// <li>
    /// <p><code>dynamodb:table:ReadCapacityUnits</code> - The provisioned read capacity for a DynamoDB table.</p></li>
    /// <li>
    /// <p><code>dynamodb:table:WriteCapacityUnits</code> - The provisioned write capacity for a DynamoDB table.</p></li>
    /// <li>
    /// <p><code>dynamodb:index:ReadCapacityUnits</code> - The provisioned read capacity for a DynamoDB global secondary index.</p></li>
    /// <li>
    /// <p><code>dynamodb:index:WriteCapacityUnits</code> - The provisioned write capacity for a DynamoDB global secondary index.</p></li>
    /// <li>
    /// <p><code>rds:cluster:ReadReplicaCount</code> - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.</p></li>
    /// <li>
    /// <p><code>sagemaker:variant:DesiredInstanceCount</code> - The number of EC2 instances for a SageMaker model endpoint variant.</p></li>
    /// <li>
    /// <p><code>custom-resource:ResourceType:Property</code> - The scalable dimension for a custom resource provided by your own application or service.</p></li>
    /// <li>
    /// <p><code>comprehend:document-classifier-endpoint:DesiredInferenceUnits</code> - The number of inference units for an Amazon Comprehend document classification endpoint.</p></li>
    /// <li>
    /// <p><code>comprehend:entity-recognizer-endpoint:DesiredInferenceUnits</code> - The number of inference units for an Amazon Comprehend entity recognizer endpoint.</p></li>
    /// <li>
    /// <p><code>lambda:function:ProvisionedConcurrency</code> - The provisioned concurrency for a Lambda function.</p></li>
    /// <li>
    /// <p><code>cassandra:table:ReadCapacityUnits</code> - The provisioned read capacity for an Amazon Keyspaces table.</p></li>
    /// <li>
    /// <p><code>cassandra:table:WriteCapacityUnits</code> - The provisioned write capacity for an Amazon Keyspaces table.</p></li>
    /// <li>
    /// <p><code>kafka:broker-storage:VolumeSize</code> - The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster.</p></li>
    /// <li>
    /// <p><code>elasticache:replication-group:NodeGroups</code> - The number of node groups for an Amazon ElastiCache replication group.</p></li>
    /// <li>
    /// <p><code>elasticache:replication-group:Replicas</code> - The number of replicas per node group for an Amazon ElastiCache replication group.</p></li>
    /// <li>
    /// <p><code>neptune:cluster:ReadReplicaCount</code> - The count of read replicas in an Amazon Neptune DB cluster.</p></li>
    /// <li>
    /// <p><code>sagemaker:variant:DesiredProvisionedConcurrency</code> - The provisioned concurrency for a SageMaker serverless endpoint.</p></li>
    /// <li>
    /// <p><code>sagemaker:inference-component:DesiredCopyCount</code> - The number of copies across an endpoint for a SageMaker inference component.</p></li>
    /// <li>
    /// <p><code>workspaces:workspacespool:DesiredUserSessions</code> - The number of user sessions for the WorkSpaces in the pool.</p></li>
    /// </ul>
    pub fn scalable_dimension(mut self, input: crate::types::ScalableDimension) -> Self {
        self.inner = self.inner.scalable_dimension(input);
        self
    }
    /// <p>The scalable dimension. This string consists of the service namespace, resource type, and scaling property.</p>
    /// <ul>
    /// <li>
    /// <p><code>ecs:service:DesiredCount</code> - The task count of an ECS service.</p></li>
    /// <li>
    /// <p><code>elasticmapreduce:instancegroup:InstanceCount</code> - The instance count of an EMR Instance Group.</p></li>
    /// <li>
    /// <p><code>ec2:spot-fleet-request:TargetCapacity</code> - The target capacity of a Spot Fleet.</p></li>
    /// <li>
    /// <p><code>appstream:fleet:DesiredCapacity</code> - The capacity of an AppStream 2.0 fleet.</p></li>
    /// <li>
    /// <p><code>dynamodb:table:ReadCapacityUnits</code> - The provisioned read capacity for a DynamoDB table.</p></li>
    /// <li>
    /// <p><code>dynamodb:table:WriteCapacityUnits</code> - The provisioned write capacity for a DynamoDB table.</p></li>
    /// <li>
    /// <p><code>dynamodb:index:ReadCapacityUnits</code> - The provisioned read capacity for a DynamoDB global secondary index.</p></li>
    /// <li>
    /// <p><code>dynamodb:index:WriteCapacityUnits</code> - The provisioned write capacity for a DynamoDB global secondary index.</p></li>
    /// <li>
    /// <p><code>rds:cluster:ReadReplicaCount</code> - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.</p></li>
    /// <li>
    /// <p><code>sagemaker:variant:DesiredInstanceCount</code> - The number of EC2 instances for a SageMaker model endpoint variant.</p></li>
    /// <li>
    /// <p><code>custom-resource:ResourceType:Property</code> - The scalable dimension for a custom resource provided by your own application or service.</p></li>
    /// <li>
    /// <p><code>comprehend:document-classifier-endpoint:DesiredInferenceUnits</code> - The number of inference units for an Amazon Comprehend document classification endpoint.</p></li>
    /// <li>
    /// <p><code>comprehend:entity-recognizer-endpoint:DesiredInferenceUnits</code> - The number of inference units for an Amazon Comprehend entity recognizer endpoint.</p></li>
    /// <li>
    /// <p><code>lambda:function:ProvisionedConcurrency</code> - The provisioned concurrency for a Lambda function.</p></li>
    /// <li>
    /// <p><code>cassandra:table:ReadCapacityUnits</code> - The provisioned read capacity for an Amazon Keyspaces table.</p></li>
    /// <li>
    /// <p><code>cassandra:table:WriteCapacityUnits</code> - The provisioned write capacity for an Amazon Keyspaces table.</p></li>
    /// <li>
    /// <p><code>kafka:broker-storage:VolumeSize</code> - The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster.</p></li>
    /// <li>
    /// <p><code>elasticache:replication-group:NodeGroups</code> - The number of node groups for an Amazon ElastiCache replication group.</p></li>
    /// <li>
    /// <p><code>elasticache:replication-group:Replicas</code> - The number of replicas per node group for an Amazon ElastiCache replication group.</p></li>
    /// <li>
    /// <p><code>neptune:cluster:ReadReplicaCount</code> - The count of read replicas in an Amazon Neptune DB cluster.</p></li>
    /// <li>
    /// <p><code>sagemaker:variant:DesiredProvisionedConcurrency</code> - The provisioned concurrency for a SageMaker serverless endpoint.</p></li>
    /// <li>
    /// <p><code>sagemaker:inference-component:DesiredCopyCount</code> - The number of copies across an endpoint for a SageMaker inference component.</p></li>
    /// <li>
    /// <p><code>workspaces:workspacespool:DesiredUserSessions</code> - The number of user sessions for the WorkSpaces in the pool.</p></li>
    /// </ul>
    pub fn set_scalable_dimension(mut self, input: ::std::option::Option<crate::types::ScalableDimension>) -> Self {
        self.inner = self.inner.set_scalable_dimension(input);
        self
    }
    /// <p>The scalable dimension. This string consists of the service namespace, resource type, and scaling property.</p>
    /// <ul>
    /// <li>
    /// <p><code>ecs:service:DesiredCount</code> - The task count of an ECS service.</p></li>
    /// <li>
    /// <p><code>elasticmapreduce:instancegroup:InstanceCount</code> - The instance count of an EMR Instance Group.</p></li>
    /// <li>
    /// <p><code>ec2:spot-fleet-request:TargetCapacity</code> - The target capacity of a Spot Fleet.</p></li>
    /// <li>
    /// <p><code>appstream:fleet:DesiredCapacity</code> - The capacity of an AppStream 2.0 fleet.</p></li>
    /// <li>
    /// <p><code>dynamodb:table:ReadCapacityUnits</code> - The provisioned read capacity for a DynamoDB table.</p></li>
    /// <li>
    /// <p><code>dynamodb:table:WriteCapacityUnits</code> - The provisioned write capacity for a DynamoDB table.</p></li>
    /// <li>
    /// <p><code>dynamodb:index:ReadCapacityUnits</code> - The provisioned read capacity for a DynamoDB global secondary index.</p></li>
    /// <li>
    /// <p><code>dynamodb:index:WriteCapacityUnits</code> - The provisioned write capacity for a DynamoDB global secondary index.</p></li>
    /// <li>
    /// <p><code>rds:cluster:ReadReplicaCount</code> - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.</p></li>
    /// <li>
    /// <p><code>sagemaker:variant:DesiredInstanceCount</code> - The number of EC2 instances for a SageMaker model endpoint variant.</p></li>
    /// <li>
    /// <p><code>custom-resource:ResourceType:Property</code> - The scalable dimension for a custom resource provided by your own application or service.</p></li>
    /// <li>
    /// <p><code>comprehend:document-classifier-endpoint:DesiredInferenceUnits</code> - The number of inference units for an Amazon Comprehend document classification endpoint.</p></li>
    /// <li>
    /// <p><code>comprehend:entity-recognizer-endpoint:DesiredInferenceUnits</code> - The number of inference units for an Amazon Comprehend entity recognizer endpoint.</p></li>
    /// <li>
    /// <p><code>lambda:function:ProvisionedConcurrency</code> - The provisioned concurrency for a Lambda function.</p></li>
    /// <li>
    /// <p><code>cassandra:table:ReadCapacityUnits</code> - The provisioned read capacity for an Amazon Keyspaces table.</p></li>
    /// <li>
    /// <p><code>cassandra:table:WriteCapacityUnits</code> - The provisioned write capacity for an Amazon Keyspaces table.</p></li>
    /// <li>
    /// <p><code>kafka:broker-storage:VolumeSize</code> - The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster.</p></li>
    /// <li>
    /// <p><code>elasticache:replication-group:NodeGroups</code> - The number of node groups for an Amazon ElastiCache replication group.</p></li>
    /// <li>
    /// <p><code>elasticache:replication-group:Replicas</code> - The number of replicas per node group for an Amazon ElastiCache replication group.</p></li>
    /// <li>
    /// <p><code>neptune:cluster:ReadReplicaCount</code> - The count of read replicas in an Amazon Neptune DB cluster.</p></li>
    /// <li>
    /// <p><code>sagemaker:variant:DesiredProvisionedConcurrency</code> - The provisioned concurrency for a SageMaker serverless endpoint.</p></li>
    /// <li>
    /// <p><code>sagemaker:inference-component:DesiredCopyCount</code> - The number of copies across an endpoint for a SageMaker inference component.</p></li>
    /// <li>
    /// <p><code>workspaces:workspacespool:DesiredUserSessions</code> - The number of user sessions for the WorkSpaces in the pool.</p></li>
    /// </ul>
    pub fn get_scalable_dimension(&self) -> &::std::option::Option<crate::types::ScalableDimension> {
        self.inner.get_scalable_dimension()
    }
    /// <p>The date and time for this scheduled action to start, in UTC.</p>
    pub fn start_time(mut self, input: ::aws_smithy_types::DateTime) -> Self {
        self.inner = self.inner.start_time(input);
        self
    }
    /// <p>The date and time for this scheduled action to start, in UTC.</p>
    pub fn set_start_time(mut self, input: ::std::option::Option<::aws_smithy_types::DateTime>) -> Self {
        self.inner = self.inner.set_start_time(input);
        self
    }
    /// <p>The date and time for this scheduled action to start, in UTC.</p>
    pub fn get_start_time(&self) -> &::std::option::Option<::aws_smithy_types::DateTime> {
        self.inner.get_start_time()
    }
    /// <p>The date and time for the recurring schedule to end, in UTC.</p>
    pub fn end_time(mut self, input: ::aws_smithy_types::DateTime) -> Self {
        self.inner = self.inner.end_time(input);
        self
    }
    /// <p>The date and time for the recurring schedule to end, in UTC.</p>
    pub fn set_end_time(mut self, input: ::std::option::Option<::aws_smithy_types::DateTime>) -> Self {
        self.inner = self.inner.set_end_time(input);
        self
    }
    /// <p>The date and time for the recurring schedule to end, in UTC.</p>
    pub fn get_end_time(&self) -> &::std::option::Option<::aws_smithy_types::DateTime> {
        self.inner.get_end_time()
    }
    /// <p>The new minimum and maximum capacity. You can set both values or just one. At the scheduled time, if the current capacity is below the minimum capacity, Application Auto Scaling scales out to the minimum capacity. If the current capacity is above the maximum capacity, Application Auto Scaling scales in to the maximum capacity.</p>
    pub fn scalable_target_action(mut self, input: crate::types::ScalableTargetAction) -> Self {
        self.inner = self.inner.scalable_target_action(input);
        self
    }
    /// <p>The new minimum and maximum capacity. You can set both values or just one. At the scheduled time, if the current capacity is below the minimum capacity, Application Auto Scaling scales out to the minimum capacity. If the current capacity is above the maximum capacity, Application Auto Scaling scales in to the maximum capacity.</p>
    pub fn set_scalable_target_action(mut self, input: ::std::option::Option<crate::types::ScalableTargetAction>) -> Self {
        self.inner = self.inner.set_scalable_target_action(input);
        self
    }
    /// <p>The new minimum and maximum capacity. You can set both values or just one. At the scheduled time, if the current capacity is below the minimum capacity, Application Auto Scaling scales out to the minimum capacity. If the current capacity is above the maximum capacity, Application Auto Scaling scales in to the maximum capacity.</p>
    pub fn get_scalable_target_action(&self) -> &::std::option::Option<crate::types::ScalableTargetAction> {
        self.inner.get_scalable_target_action()
    }
}