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The AWS Kotlin client for Elastic Inference
// Code generated by smithy-kotlin-codegen. DO NOT EDIT!
package aws.sdk.kotlin.services.elasticinference
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.elasticinference.auth.ElasticInferenceAuthSchemeProviderAdapter
import aws.sdk.kotlin.services.elasticinference.auth.ElasticInferenceIdentityProviderConfigAdapter
import aws.sdk.kotlin.services.elasticinference.endpoints.internal.EndpointResolverAdapter
import aws.sdk.kotlin.services.elasticinference.model.*
import aws.sdk.kotlin.services.elasticinference.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.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 DefaultElasticInferenceClient(override val config: ElasticInferenceClient.Config) : ElasticInferenceClient {
private val managedResources = SdkManagedGroup()
private val client = SdkHttpClient(config.httpClient)
private val identityProviderConfig = ElasticInferenceIdentityProviderConfigAdapter(config)
private val configuredAuthSchemes = with(config.authSchemes.associateBy(AuthScheme::schemeId).toMutableMap()){
getOrPut(AuthSchemeId.AwsSigV4){
SigV4AuthScheme(DefaultAwsSigner, "elastic-inference")
}
toMap()
}
private val authSchemeAdapter = ElasticInferenceAuthSchemeProviderAdapter(config)
private val telemetryScope = "aws.sdk.kotlin.services.elasticinference"
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)
/**
* Describes the locations in which a given accelerator type or set of types is present in a given region.
*
* February 15, 2023: Starting April 15, 2023, AWS will not onboard new customers to Amazon Elastic Inference (EI), and will help current customers migrate their workloads to options that offer better price and performance. After April 15, 2023, new customers will not be able to launch instances with Amazon EI accelerators in Amazon SageMaker, Amazon ECS, or Amazon EC2. However, customers who have used Amazon EI at least once during the past 30-day period are considered current customers and will be able to continue using the service.
*/
override suspend fun describeAcceleratorOfferings(input: DescribeAcceleratorOfferingsRequest): DescribeAcceleratorOfferingsResponse {
val op = SdkHttpOperation.build {
serializeWith = DescribeAcceleratorOfferingsOperationSerializer()
deserializeWith = DescribeAcceleratorOfferingsOperationDeserializer()
operationName = "DescribeAcceleratorOfferings"
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(UserAgent(awsUserAgentMetadata))
op.install(RecursionDetection())
op.interceptors.addAll(config.interceptors)
return op.roundTrip(client, input)
}
/**
* Describes the accelerator types available in a given region, as well as their characteristics, such as memory and throughput.
*
* February 15, 2023: Starting April 15, 2023, AWS will not onboard new customers to Amazon Elastic Inference (EI), and will help current customers migrate their workloads to options that offer better price and performance. After April 15, 2023, new customers will not be able to launch instances with Amazon EI accelerators in Amazon SageMaker, Amazon ECS, or Amazon EC2. However, customers who have used Amazon EI at least once during the past 30-day period are considered current customers and will be able to continue using the service.
*/
override suspend fun describeAcceleratorTypes(input: DescribeAcceleratorTypesRequest): DescribeAcceleratorTypesResponse {
val op = SdkHttpOperation.build {
serializeWith = DescribeAcceleratorTypesOperationSerializer()
deserializeWith = DescribeAcceleratorTypesOperationDeserializer()
operationName = "DescribeAcceleratorTypes"
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(UserAgent(awsUserAgentMetadata))
op.install(RecursionDetection())
op.interceptors.addAll(config.interceptors)
return op.roundTrip(client, input)
}
/**
* Describes information over a provided set of accelerators belonging to an account.
*
* February 15, 2023: Starting April 15, 2023, AWS will not onboard new customers to Amazon Elastic Inference (EI), and will help current customers migrate their workloads to options that offer better price and performance. After April 15, 2023, new customers will not be able to launch instances with Amazon EI accelerators in Amazon SageMaker, Amazon ECS, or Amazon EC2. However, customers who have used Amazon EI at least once during the past 30-day period are considered current customers and will be able to continue using the service.
*/
override suspend fun describeAccelerators(input: DescribeAcceleratorsRequest): DescribeAcceleratorsResponse {
val op = SdkHttpOperation.build {
serializeWith = DescribeAcceleratorsOperationSerializer()
deserializeWith = DescribeAcceleratorsOperationDeserializer()
operationName = "DescribeAccelerators"
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(UserAgent(awsUserAgentMetadata))
op.install(RecursionDetection())
op.interceptors.addAll(config.interceptors)
return op.roundTrip(client, input)
}
/**
* Returns all tags of an Elastic Inference Accelerator.
*
* February 15, 2023: Starting April 15, 2023, AWS will not onboard new customers to Amazon Elastic Inference (EI), and will help current customers migrate their workloads to options that offer better price and performance. After April 15, 2023, new customers will not be able to launch instances with Amazon EI accelerators in Amazon SageMaker, Amazon ECS, or Amazon EC2. However, customers who have used Amazon EI at least once during the past 30-day period are considered current customers and will be able to continue using the service.
*/
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(UserAgent(awsUserAgentMetadata))
op.install(RecursionDetection())
op.interceptors.addAll(config.interceptors)
return op.roundTrip(client, input)
}
/**
* Adds the specified tags to an Elastic Inference Accelerator.
*
* February 15, 2023: Starting April 15, 2023, AWS will not onboard new customers to Amazon Elastic Inference (EI), and will help current customers migrate their workloads to options that offer better price and performance. After April 15, 2023, new customers will not be able to launch instances with Amazon EI accelerators in Amazon SageMaker, Amazon ECS, or Amazon EC2. However, customers who have used Amazon EI at least once during the past 30-day period are considered current customers and will be able to continue using the service.
*/
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(UserAgent(awsUserAgentMetadata))
op.install(RecursionDetection())
op.interceptors.addAll(config.interceptors)
return op.roundTrip(client, input)
}
/**
* Removes the specified tags from an Elastic Inference Accelerator.
*
* February 15, 2023: Starting April 15, 2023, AWS will not onboard new customers to Amazon Elastic Inference (EI), and will help current customers migrate their workloads to options that offer better price and performance. After April 15, 2023, new customers will not be able to launch instances with Amazon EI accelerators in Amazon SageMaker, Amazon ECS, or Amazon EC2. However, customers who have used Amazon EI at least once during the past 30-day period are considered current customers and will be able to continue using the service.
*/
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(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, "elastic-inference")
ctx.putIfAbsent(AwsSigningAttributes.CredentialsProvider, config.credentialsProvider)
}
}
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