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The AWS Kotlin client for Application Auto Scaling
// Code generated by smithy-kotlin-codegen. DO NOT EDIT!
package aws.sdk.kotlin.services.applicationautoscaling
import aws.sdk.kotlin.runtime.http.ApiMetadata
import aws.sdk.kotlin.runtime.http.AwsUserAgentMetadata
import aws.sdk.kotlin.runtime.http.interceptors.AwsSpanInterceptor
import aws.sdk.kotlin.runtime.http.interceptors.BusinessMetricsInterceptor
import aws.sdk.kotlin.runtime.http.middleware.AwsRetryHeaderMiddleware
import aws.sdk.kotlin.runtime.http.middleware.RecursionDetection
import aws.sdk.kotlin.runtime.http.middleware.UserAgent
import aws.sdk.kotlin.services.applicationautoscaling.auth.ApplicationAutoScalingAuthSchemeProviderAdapter
import aws.sdk.kotlin.services.applicationautoscaling.auth.ApplicationAutoScalingIdentityProviderConfigAdapter
import aws.sdk.kotlin.services.applicationautoscaling.endpoints.internal.EndpointResolverAdapter
import aws.sdk.kotlin.services.applicationautoscaling.model.*
import aws.sdk.kotlin.services.applicationautoscaling.serde.*
import aws.smithy.kotlin.runtime.auth.AuthSchemeId
import aws.smithy.kotlin.runtime.auth.awssigning.AwsSigningAttributes
import aws.smithy.kotlin.runtime.auth.awssigning.DefaultAwsSigner
import aws.smithy.kotlin.runtime.awsprotocol.AwsAttributes
import aws.smithy.kotlin.runtime.awsprotocol.json.AwsJsonProtocol
import aws.smithy.kotlin.runtime.client.SdkClientOption
import aws.smithy.kotlin.runtime.collections.attributesOf
import aws.smithy.kotlin.runtime.collections.putIfAbsent
import aws.smithy.kotlin.runtime.collections.putIfAbsentNotNull
import aws.smithy.kotlin.runtime.http.SdkHttpClient
import aws.smithy.kotlin.runtime.http.auth.AuthScheme
import aws.smithy.kotlin.runtime.http.auth.SigV4AuthScheme
import aws.smithy.kotlin.runtime.http.operation.OperationAuthConfig
import aws.smithy.kotlin.runtime.http.operation.OperationMetrics
import aws.smithy.kotlin.runtime.http.operation.SdkHttpOperation
import aws.smithy.kotlin.runtime.http.operation.context
import aws.smithy.kotlin.runtime.http.operation.roundTrip
import aws.smithy.kotlin.runtime.http.operation.telemetry
import aws.smithy.kotlin.runtime.io.SdkManagedGroup
import aws.smithy.kotlin.runtime.io.addIfManaged
import aws.smithy.kotlin.runtime.operation.ExecutionContext
internal class DefaultApplicationAutoScalingClient(override val config: ApplicationAutoScalingClient.Config) : ApplicationAutoScalingClient {
private val managedResources = SdkManagedGroup()
private val client = SdkHttpClient(config.httpClient)
private val identityProviderConfig = ApplicationAutoScalingIdentityProviderConfigAdapter(config)
private val configuredAuthSchemes = with(config.authSchemes.associateBy(AuthScheme::schemeId).toMutableMap()){
getOrPut(AuthSchemeId.AwsSigV4){
SigV4AuthScheme(DefaultAwsSigner, "application-autoscaling")
}
toMap()
}
private val authSchemeAdapter = ApplicationAutoScalingAuthSchemeProviderAdapter(config)
private val telemetryScope = "aws.sdk.kotlin.services.applicationautoscaling"
private val opMetrics = OperationMetrics(telemetryScope, config.telemetryProvider)
init {
managedResources.addIfManaged(config.httpClient)
managedResources.addIfManaged(config.credentialsProvider)
}
private val awsUserAgentMetadata = AwsUserAgentMetadata.fromEnvironment(ApiMetadata(ServiceId, SdkVersion), config.applicationId)
/**
* Deletes the specified scaling policy for an Application Auto Scaling scalable target.
*
* Deleting a step scaling policy deletes the underlying alarm action, but does not delete the CloudWatch alarm associated with the scaling policy, even if it no longer has an associated action.
*
* For more information, see [Delete a step scaling policy](https://docs.aws.amazon.com/autoscaling/application/userguide/create-step-scaling-policy-cli.html#delete-step-scaling-policy) and [Delete a target tracking scaling policy](https://docs.aws.amazon.com/autoscaling/application/userguide/create-target-tracking-policy-cli.html#delete-target-tracking-policy) in the *Application Auto Scaling User Guide*.
*
* @sample aws.sdk.kotlin.services.applicationautoscaling.samples.DeleteScalingPolicy.sample
*/
override suspend fun deleteScalingPolicy(input: DeleteScalingPolicyRequest): DeleteScalingPolicyResponse {
val op = SdkHttpOperation.build {
serializeWith = DeleteScalingPolicyOperationSerializer()
deserializeWith = DeleteScalingPolicyOperationDeserializer()
operationName = "DeleteScalingPolicy"
serviceName = ServiceId
telemetry {
provider = config.telemetryProvider
scope = telemetryScope
metrics = opMetrics
attributes = attributesOf {
"rpc.system" to "aws-api"
}
}
execution.auth = OperationAuthConfig(authSchemeAdapter, configuredAuthSchemes, identityProviderConfig)
execution.endpointResolver = EndpointResolverAdapter(config)
execution.retryStrategy = config.retryStrategy
execution.retryPolicy = config.retryPolicy
}
mergeServiceDefaults(op.context)
op.install(AwsRetryHeaderMiddleware())
op.interceptors.add(AwsSpanInterceptor)
op.interceptors.add(BusinessMetricsInterceptor())
op.install(AwsJsonProtocol("AnyScaleFrontendService", "1.1"))
op.install(UserAgent(awsUserAgentMetadata))
op.install(RecursionDetection())
op.interceptors.addAll(config.interceptors)
return op.roundTrip(client, input)
}
/**
* Deletes the specified scheduled action for an Application Auto Scaling scalable target.
*
* For more information, see [Delete a scheduled action](https://docs.aws.amazon.com/autoscaling/application/userguide/scheduled-scaling-additional-cli-commands.html#delete-scheduled-action) in the *Application Auto Scaling User Guide*.
*
* @sample aws.sdk.kotlin.services.applicationautoscaling.samples.DeleteScheduledAction.sample
*/
override suspend fun deleteScheduledAction(input: DeleteScheduledActionRequest): DeleteScheduledActionResponse {
val op = SdkHttpOperation.build {
serializeWith = DeleteScheduledActionOperationSerializer()
deserializeWith = DeleteScheduledActionOperationDeserializer()
operationName = "DeleteScheduledAction"
serviceName = ServiceId
telemetry {
provider = config.telemetryProvider
scope = telemetryScope
metrics = opMetrics
attributes = attributesOf {
"rpc.system" to "aws-api"
}
}
execution.auth = OperationAuthConfig(authSchemeAdapter, configuredAuthSchemes, identityProviderConfig)
execution.endpointResolver = EndpointResolverAdapter(config)
execution.retryStrategy = config.retryStrategy
execution.retryPolicy = config.retryPolicy
}
mergeServiceDefaults(op.context)
op.install(AwsRetryHeaderMiddleware())
op.interceptors.add(AwsSpanInterceptor)
op.interceptors.add(BusinessMetricsInterceptor())
op.install(AwsJsonProtocol("AnyScaleFrontendService", "1.1"))
op.install(UserAgent(awsUserAgentMetadata))
op.install(RecursionDetection())
op.interceptors.addAll(config.interceptors)
return op.roundTrip(client, input)
}
/**
* Deregisters an Application Auto Scaling scalable target when you have finished using it. To see which resources have been registered, use [DescribeScalableTargets](https://docs.aws.amazon.com/autoscaling/application/APIReference/API_DescribeScalableTargets.html).
*
* Deregistering a scalable target deletes the scaling policies and the scheduled actions that are associated with it.
*
* @sample aws.sdk.kotlin.services.applicationautoscaling.samples.DeregisterScalableTarget.sample
*/
override suspend fun deregisterScalableTarget(input: DeregisterScalableTargetRequest): DeregisterScalableTargetResponse {
val op = SdkHttpOperation.build {
serializeWith = DeregisterScalableTargetOperationSerializer()
deserializeWith = DeregisterScalableTargetOperationDeserializer()
operationName = "DeregisterScalableTarget"
serviceName = ServiceId
telemetry {
provider = config.telemetryProvider
scope = telemetryScope
metrics = opMetrics
attributes = attributesOf {
"rpc.system" to "aws-api"
}
}
execution.auth = OperationAuthConfig(authSchemeAdapter, configuredAuthSchemes, identityProviderConfig)
execution.endpointResolver = EndpointResolverAdapter(config)
execution.retryStrategy = config.retryStrategy
execution.retryPolicy = config.retryPolicy
}
mergeServiceDefaults(op.context)
op.install(AwsRetryHeaderMiddleware())
op.interceptors.add(AwsSpanInterceptor)
op.interceptors.add(BusinessMetricsInterceptor())
op.install(AwsJsonProtocol("AnyScaleFrontendService", "1.1"))
op.install(UserAgent(awsUserAgentMetadata))
op.install(RecursionDetection())
op.interceptors.addAll(config.interceptors)
return op.roundTrip(client, input)
}
/**
* Gets information about the scalable targets in the specified namespace.
*
* You can filter the results using `ResourceIds` and `ScalableDimension`.
*
* @sample aws.sdk.kotlin.services.applicationautoscaling.samples.DescribeScalableTargets.sample
*/
override suspend fun describeScalableTargets(input: DescribeScalableTargetsRequest): DescribeScalableTargetsResponse {
val op = SdkHttpOperation.build {
serializeWith = DescribeScalableTargetsOperationSerializer()
deserializeWith = DescribeScalableTargetsOperationDeserializer()
operationName = "DescribeScalableTargets"
serviceName = ServiceId
telemetry {
provider = config.telemetryProvider
scope = telemetryScope
metrics = opMetrics
attributes = attributesOf {
"rpc.system" to "aws-api"
}
}
execution.auth = OperationAuthConfig(authSchemeAdapter, configuredAuthSchemes, identityProviderConfig)
execution.endpointResolver = EndpointResolverAdapter(config)
execution.retryStrategy = config.retryStrategy
execution.retryPolicy = config.retryPolicy
}
mergeServiceDefaults(op.context)
op.install(AwsRetryHeaderMiddleware())
op.interceptors.add(AwsSpanInterceptor)
op.interceptors.add(BusinessMetricsInterceptor())
op.install(AwsJsonProtocol("AnyScaleFrontendService", "1.1"))
op.install(UserAgent(awsUserAgentMetadata))
op.install(RecursionDetection())
op.interceptors.addAll(config.interceptors)
return op.roundTrip(client, input)
}
/**
* Provides descriptive information about the scaling activities in the specified namespace from the previous six weeks.
*
* You can filter the results using `ResourceId` and `ScalableDimension`.
*
* For information about viewing scaling activities using the Amazon Web Services CLI, see [Scaling activities for Application Auto Scaling](https://docs.aws.amazon.com/autoscaling/application/userguide/application-auto-scaling-scaling-activities.html).
*
* @sample aws.sdk.kotlin.services.applicationautoscaling.samples.DescribeScalingActivities.sample
*/
override suspend fun describeScalingActivities(input: DescribeScalingActivitiesRequest): DescribeScalingActivitiesResponse {
val op = SdkHttpOperation.build {
serializeWith = DescribeScalingActivitiesOperationSerializer()
deserializeWith = DescribeScalingActivitiesOperationDeserializer()
operationName = "DescribeScalingActivities"
serviceName = ServiceId
telemetry {
provider = config.telemetryProvider
scope = telemetryScope
metrics = opMetrics
attributes = attributesOf {
"rpc.system" to "aws-api"
}
}
execution.auth = OperationAuthConfig(authSchemeAdapter, configuredAuthSchemes, identityProviderConfig)
execution.endpointResolver = EndpointResolverAdapter(config)
execution.retryStrategy = config.retryStrategy
execution.retryPolicy = config.retryPolicy
}
mergeServiceDefaults(op.context)
op.install(AwsRetryHeaderMiddleware())
op.interceptors.add(AwsSpanInterceptor)
op.interceptors.add(BusinessMetricsInterceptor())
op.install(AwsJsonProtocol("AnyScaleFrontendService", "1.1"))
op.install(UserAgent(awsUserAgentMetadata))
op.install(RecursionDetection())
op.interceptors.addAll(config.interceptors)
return op.roundTrip(client, input)
}
/**
* Describes the Application Auto Scaling scaling policies for the specified service namespace.
*
* You can filter the results using `ResourceId`, `ScalableDimension`, and `PolicyNames`.
*
* For more information, see [Target tracking scaling policies](https://docs.aws.amazon.com/autoscaling/application/userguide/application-auto-scaling-target-tracking.html) and [Step scaling policies](https://docs.aws.amazon.com/autoscaling/application/userguide/application-auto-scaling-step-scaling-policies.html) in the *Application Auto Scaling User Guide*.
*
* @sample aws.sdk.kotlin.services.applicationautoscaling.samples.DescribeScalingPolicies.sample
*/
override suspend fun describeScalingPolicies(input: DescribeScalingPoliciesRequest): DescribeScalingPoliciesResponse {
val op = SdkHttpOperation.build {
serializeWith = DescribeScalingPoliciesOperationSerializer()
deserializeWith = DescribeScalingPoliciesOperationDeserializer()
operationName = "DescribeScalingPolicies"
serviceName = ServiceId
telemetry {
provider = config.telemetryProvider
scope = telemetryScope
metrics = opMetrics
attributes = attributesOf {
"rpc.system" to "aws-api"
}
}
execution.auth = OperationAuthConfig(authSchemeAdapter, configuredAuthSchemes, identityProviderConfig)
execution.endpointResolver = EndpointResolverAdapter(config)
execution.retryStrategy = config.retryStrategy
execution.retryPolicy = config.retryPolicy
}
mergeServiceDefaults(op.context)
op.install(AwsRetryHeaderMiddleware())
op.interceptors.add(AwsSpanInterceptor)
op.interceptors.add(BusinessMetricsInterceptor())
op.install(AwsJsonProtocol("AnyScaleFrontendService", "1.1"))
op.install(UserAgent(awsUserAgentMetadata))
op.install(RecursionDetection())
op.interceptors.addAll(config.interceptors)
return op.roundTrip(client, input)
}
/**
* Describes the Application Auto Scaling scheduled actions for the specified service namespace.
*
* You can filter the results using the `ResourceId`, `ScalableDimension`, and `ScheduledActionNames` parameters.
*
* For more information, see [Scheduled scaling](https://docs.aws.amazon.com/autoscaling/application/userguide/application-auto-scaling-scheduled-scaling.html) in the *Application Auto Scaling User Guide*.
*
* @sample aws.sdk.kotlin.services.applicationautoscaling.samples.DescribeScheduledActions.sample
*/
override suspend fun describeScheduledActions(input: DescribeScheduledActionsRequest): DescribeScheduledActionsResponse {
val op = SdkHttpOperation.build {
serializeWith = DescribeScheduledActionsOperationSerializer()
deserializeWith = DescribeScheduledActionsOperationDeserializer()
operationName = "DescribeScheduledActions"
serviceName = ServiceId
telemetry {
provider = config.telemetryProvider
scope = telemetryScope
metrics = opMetrics
attributes = attributesOf {
"rpc.system" to "aws-api"
}
}
execution.auth = OperationAuthConfig(authSchemeAdapter, configuredAuthSchemes, identityProviderConfig)
execution.endpointResolver = EndpointResolverAdapter(config)
execution.retryStrategy = config.retryStrategy
execution.retryPolicy = config.retryPolicy
}
mergeServiceDefaults(op.context)
op.install(AwsRetryHeaderMiddleware())
op.interceptors.add(AwsSpanInterceptor)
op.interceptors.add(BusinessMetricsInterceptor())
op.install(AwsJsonProtocol("AnyScaleFrontendService", "1.1"))
op.install(UserAgent(awsUserAgentMetadata))
op.install(RecursionDetection())
op.interceptors.addAll(config.interceptors)
return op.roundTrip(client, input)
}
/**
* Returns all the tags on the specified Application Auto Scaling scalable target.
*
* For general information about tags, including the format and syntax, see [Tagging your Amazon Web Services resources](https://docs.aws.amazon.com/general/latest/gr/aws_tagging.html) in the *Amazon Web Services General Reference*.
*
* @sample aws.sdk.kotlin.services.applicationautoscaling.samples.ListTagsForResource.sample
*/
override suspend fun listTagsForResource(input: ListTagsForResourceRequest): ListTagsForResourceResponse {
val op = SdkHttpOperation.build {
serializeWith = ListTagsForResourceOperationSerializer()
deserializeWith = ListTagsForResourceOperationDeserializer()
operationName = "ListTagsForResource"
serviceName = ServiceId
telemetry {
provider = config.telemetryProvider
scope = telemetryScope
metrics = opMetrics
attributes = attributesOf {
"rpc.system" to "aws-api"
}
}
execution.auth = OperationAuthConfig(authSchemeAdapter, configuredAuthSchemes, identityProviderConfig)
execution.endpointResolver = EndpointResolverAdapter(config)
execution.retryStrategy = config.retryStrategy
execution.retryPolicy = config.retryPolicy
}
mergeServiceDefaults(op.context)
op.install(AwsRetryHeaderMiddleware())
op.interceptors.add(AwsSpanInterceptor)
op.interceptors.add(BusinessMetricsInterceptor())
op.install(AwsJsonProtocol("AnyScaleFrontendService", "1.1"))
op.install(UserAgent(awsUserAgentMetadata))
op.install(RecursionDetection())
op.interceptors.addAll(config.interceptors)
return op.roundTrip(client, input)
}
/**
* Creates or updates a scaling policy for an Application Auto Scaling scalable target.
*
* Each scalable target is identified by a service namespace, resource ID, and scalable dimension. A scaling policy applies to the scalable target identified by those three attributes. You cannot create a scaling policy until you have registered the resource as a scalable target.
*
* Multiple scaling policies can be in force at the same time for the same scalable target. You can have one or more target tracking scaling policies, one or more step scaling policies, or both. However, there is a chance that multiple policies could conflict, instructing the scalable target to scale out or in at the same time. Application Auto Scaling gives precedence to the policy that provides the largest capacity for both scale out and scale in. For example, if one policy increases capacity by 3, another policy increases capacity by 200 percent, and the current capacity is 10, Application Auto Scaling uses the policy with the highest calculated capacity (200% of 10 = 20) and scales out to 30.
*
* We recommend caution, however, when using target tracking scaling policies with step scaling policies because conflicts between these policies can cause undesirable behavior. For example, if the step scaling policy initiates a scale-in activity before the target tracking policy is ready to scale in, the scale-in activity will not be blocked. After the scale-in activity completes, the target tracking policy could instruct the scalable target to scale out again.
*
* For more information, see [Target tracking scaling policies](https://docs.aws.amazon.com/autoscaling/application/userguide/application-auto-scaling-target-tracking.html) and [Step scaling policies](https://docs.aws.amazon.com/autoscaling/application/userguide/application-auto-scaling-step-scaling-policies.html) in the *Application Auto Scaling User Guide*.
*
* If a scalable target is deregistered, the scalable target is no longer available to use scaling policies. Any scaling policies that were specified for the scalable target are deleted.
*
* @sample aws.sdk.kotlin.services.applicationautoscaling.samples.PutScalingPolicy.sample
*/
override suspend fun putScalingPolicy(input: PutScalingPolicyRequest): PutScalingPolicyResponse {
val op = SdkHttpOperation.build {
serializeWith = PutScalingPolicyOperationSerializer()
deserializeWith = PutScalingPolicyOperationDeserializer()
operationName = "PutScalingPolicy"
serviceName = ServiceId
telemetry {
provider = config.telemetryProvider
scope = telemetryScope
metrics = opMetrics
attributes = attributesOf {
"rpc.system" to "aws-api"
}
}
execution.auth = OperationAuthConfig(authSchemeAdapter, configuredAuthSchemes, identityProviderConfig)
execution.endpointResolver = EndpointResolverAdapter(config)
execution.retryStrategy = config.retryStrategy
execution.retryPolicy = config.retryPolicy
}
mergeServiceDefaults(op.context)
op.install(AwsRetryHeaderMiddleware())
op.interceptors.add(AwsSpanInterceptor)
op.interceptors.add(BusinessMetricsInterceptor())
op.install(AwsJsonProtocol("AnyScaleFrontendService", "1.1"))
op.install(UserAgent(awsUserAgentMetadata))
op.install(RecursionDetection())
op.interceptors.addAll(config.interceptors)
return op.roundTrip(client, input)
}
/**
* Creates or updates a scheduled action for an Application Auto Scaling scalable target.
*
* 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.
*
* 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.
*
* 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.
*
* For more information, see [Scheduled scaling](https://docs.aws.amazon.com/autoscaling/application/userguide/application-auto-scaling-scheduled-scaling.html) in the *Application Auto Scaling User Guide*.
*
* 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.
*
* @sample aws.sdk.kotlin.services.applicationautoscaling.samples.PutScheduledAction.sample
*/
override suspend fun putScheduledAction(input: PutScheduledActionRequest): PutScheduledActionResponse {
val op = SdkHttpOperation.build {
serializeWith = PutScheduledActionOperationSerializer()
deserializeWith = PutScheduledActionOperationDeserializer()
operationName = "PutScheduledAction"
serviceName = ServiceId
telemetry {
provider = config.telemetryProvider
scope = telemetryScope
metrics = opMetrics
attributes = attributesOf {
"rpc.system" to "aws-api"
}
}
execution.auth = OperationAuthConfig(authSchemeAdapter, configuredAuthSchemes, identityProviderConfig)
execution.endpointResolver = EndpointResolverAdapter(config)
execution.retryStrategy = config.retryStrategy
execution.retryPolicy = config.retryPolicy
}
mergeServiceDefaults(op.context)
op.install(AwsRetryHeaderMiddleware())
op.interceptors.add(AwsSpanInterceptor)
op.interceptors.add(BusinessMetricsInterceptor())
op.install(AwsJsonProtocol("AnyScaleFrontendService", "1.1"))
op.install(UserAgent(awsUserAgentMetadata))
op.install(RecursionDetection())
op.interceptors.addAll(config.interceptors)
return op.roundTrip(client, input)
}
/**
* Registers or updates a scalable target, which is the resource that you want to scale.
*
* Scalable targets are uniquely identified by the combination of resource ID, scalable dimension, and namespace, which represents some capacity dimension of the underlying service.
*
* When you register a new scalable target, you must specify values for the minimum and maximum capacity. If the specified resource is not active in the target service, this operation does not change the resource's current capacity. Otherwise, it changes the resource's current capacity to a value that is inside of this range.
*
* If you add a scaling policy, current capacity is adjustable within the specified range when scaling starts. Application Auto Scaling scaling policies will not scale capacity to values that are outside of the minimum and maximum range.
*
* After you register a scalable target, you do not need to register it again to use other Application Auto Scaling operations. To see which resources have been registered, use [DescribeScalableTargets](https://docs.aws.amazon.com/autoscaling/application/APIReference/API_DescribeScalableTargets.html). You can also view the scaling policies for a service namespace by using [DescribeScalableTargets](https://docs.aws.amazon.com/autoscaling/application/APIReference/API_DescribeScalableTargets.html). If you no longer need a scalable target, you can deregister it by using [DeregisterScalableTarget](https://docs.aws.amazon.com/autoscaling/application/APIReference/API_DeregisterScalableTarget.html).
*
* To update a scalable target, specify the parameters that you want to change. Include the parameters that identify the scalable target: resource ID, scalable dimension, and namespace. Any parameters that you don't specify are not changed by this update request.
*
* If you call the `RegisterScalableTarget` API operation to create a scalable target, there might be a brief delay until the operation achieves [eventual consistency](https://en.wikipedia.org/wiki/Eventual_consistency). You might become aware of this brief delay if you get unexpected errors when performing sequential operations. The typical strategy is to retry the request, and some Amazon Web Services SDKs include automatic backoff and retry logic.
*
* If you call the `RegisterScalableTarget` API operation to update an existing scalable target, Application Auto Scaling retrieves the current capacity of the resource. If it's below the minimum capacity or above the maximum capacity, Application Auto Scaling adjusts the capacity of the scalable target to place it within these bounds, even if you don't include the `MinCapacity` or `MaxCapacity` request parameters.
*
* @sample aws.sdk.kotlin.services.applicationautoscaling.samples.RegisterScalableTarget.sample
*/
override suspend fun registerScalableTarget(input: RegisterScalableTargetRequest): RegisterScalableTargetResponse {
val op = SdkHttpOperation.build {
serializeWith = RegisterScalableTargetOperationSerializer()
deserializeWith = RegisterScalableTargetOperationDeserializer()
operationName = "RegisterScalableTarget"
serviceName = ServiceId
telemetry {
provider = config.telemetryProvider
scope = telemetryScope
metrics = opMetrics
attributes = attributesOf {
"rpc.system" to "aws-api"
}
}
execution.auth = OperationAuthConfig(authSchemeAdapter, configuredAuthSchemes, identityProviderConfig)
execution.endpointResolver = EndpointResolverAdapter(config)
execution.retryStrategy = config.retryStrategy
execution.retryPolicy = config.retryPolicy
}
mergeServiceDefaults(op.context)
op.install(AwsRetryHeaderMiddleware())
op.interceptors.add(AwsSpanInterceptor)
op.interceptors.add(BusinessMetricsInterceptor())
op.install(AwsJsonProtocol("AnyScaleFrontendService", "1.1"))
op.install(UserAgent(awsUserAgentMetadata))
op.install(RecursionDetection())
op.interceptors.addAll(config.interceptors)
return op.roundTrip(client, input)
}
/**
* Adds or edits tags on an Application Auto Scaling scalable target.
*
* Each tag consists of a tag key and a tag value, which are both case-sensitive strings. To add a tag, specify a new tag key and a tag value. To edit a tag, specify an existing tag key and a new tag value.
*
* You can use this operation to tag an Application Auto Scaling scalable target, but you cannot tag a scaling policy or scheduled action.
*
* You can also add tags to an Application Auto Scaling scalable target while creating it (`RegisterScalableTarget`).
*
* For general information about tags, including the format and syntax, see [Tagging your Amazon Web Services resources](https://docs.aws.amazon.com/general/latest/gr/aws_tagging.html) in the *Amazon Web Services General Reference*.
*
* Use tags to control access to a scalable target. For more information, see [Tagging support for Application Auto Scaling](https://docs.aws.amazon.com/autoscaling/application/userguide/resource-tagging-support.html) in the *Application Auto Scaling User Guide*.
*
* @sample aws.sdk.kotlin.services.applicationautoscaling.samples.TagResource.sample
*/
override suspend fun tagResource(input: TagResourceRequest): TagResourceResponse {
val op = SdkHttpOperation.build {
serializeWith = TagResourceOperationSerializer()
deserializeWith = TagResourceOperationDeserializer()
operationName = "TagResource"
serviceName = ServiceId
telemetry {
provider = config.telemetryProvider
scope = telemetryScope
metrics = opMetrics
attributes = attributesOf {
"rpc.system" to "aws-api"
}
}
execution.auth = OperationAuthConfig(authSchemeAdapter, configuredAuthSchemes, identityProviderConfig)
execution.endpointResolver = EndpointResolverAdapter(config)
execution.retryStrategy = config.retryStrategy
execution.retryPolicy = config.retryPolicy
}
mergeServiceDefaults(op.context)
op.install(AwsRetryHeaderMiddleware())
op.interceptors.add(AwsSpanInterceptor)
op.interceptors.add(BusinessMetricsInterceptor())
op.install(AwsJsonProtocol("AnyScaleFrontendService", "1.1"))
op.install(UserAgent(awsUserAgentMetadata))
op.install(RecursionDetection())
op.interceptors.addAll(config.interceptors)
return op.roundTrip(client, input)
}
/**
* Deletes tags from an Application Auto Scaling scalable target. To delete a tag, specify the tag key and the Application Auto Scaling scalable target.
*
* @sample aws.sdk.kotlin.services.applicationautoscaling.samples.UntagResource.sample
*/
override suspend fun untagResource(input: UntagResourceRequest): UntagResourceResponse {
val op = SdkHttpOperation.build {
serializeWith = UntagResourceOperationSerializer()
deserializeWith = UntagResourceOperationDeserializer()
operationName = "UntagResource"
serviceName = ServiceId
telemetry {
provider = config.telemetryProvider
scope = telemetryScope
metrics = opMetrics
attributes = attributesOf {
"rpc.system" to "aws-api"
}
}
execution.auth = OperationAuthConfig(authSchemeAdapter, configuredAuthSchemes, identityProviderConfig)
execution.endpointResolver = EndpointResolverAdapter(config)
execution.retryStrategy = config.retryStrategy
execution.retryPolicy = config.retryPolicy
}
mergeServiceDefaults(op.context)
op.install(AwsRetryHeaderMiddleware())
op.interceptors.add(AwsSpanInterceptor)
op.interceptors.add(BusinessMetricsInterceptor())
op.install(AwsJsonProtocol("AnyScaleFrontendService", "1.1"))
op.install(UserAgent(awsUserAgentMetadata))
op.install(RecursionDetection())
op.interceptors.addAll(config.interceptors)
return op.roundTrip(client, input)
}
override fun close() {
managedResources.unshareAll()
}
/**
* merge the defaults configured for the service into the execution context before firing off a request
*/
private fun mergeServiceDefaults(ctx: ExecutionContext) {
ctx.putIfAbsent(SdkClientOption.ClientName, config.clientName)
ctx.putIfAbsent(SdkClientOption.LogMode, config.logMode)
ctx.putIfAbsentNotNull(AwsAttributes.Region, config.region)
ctx.putIfAbsentNotNull(AwsSigningAttributes.SigningRegion, config.region)
ctx.putIfAbsent(AwsSigningAttributes.SigningService, "application-autoscaling")
ctx.putIfAbsent(AwsSigningAttributes.CredentialsProvider, config.credentialsProvider)
}
}