/*
 * Copyright 2018-2023 Amazon.com, Inc. or its affiliates. All Rights Reserved.
 * 
 * Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with
 * the License. A copy of the License is located at
 * 
 * http://aws.amazon.com/apache2.0
 * 
 * or in the "license" file accompanying this file. This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
 * CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions
 * and limitations under the License.
 */
package com.amazonaws.services.elasticinference;

import org.w3c.dom.*;

import java.net.*;
import java.util.*;

import javax.annotation.Generated;

import org.apache.commons.logging.*;

import com.amazonaws.*;
import com.amazonaws.annotation.SdkInternalApi;
import com.amazonaws.auth.*;

import com.amazonaws.handlers.*;
import com.amazonaws.http.*;
import com.amazonaws.internal.*;
import com.amazonaws.internal.auth.*;
import com.amazonaws.metrics.*;
import com.amazonaws.regions.*;
import com.amazonaws.transform.*;
import com.amazonaws.util.*;
import com.amazonaws.protocol.json.*;
import com.amazonaws.util.AWSRequestMetrics.Field;
import com.amazonaws.annotation.ThreadSafe;
import com.amazonaws.client.AwsSyncClientParams;
import com.amazonaws.client.builder.AdvancedConfig;

import com.amazonaws.services.elasticinference.AmazonElasticInferenceClientBuilder;

import com.amazonaws.AmazonServiceException;

import com.amazonaws.services.elasticinference.model.*;
import com.amazonaws.services.elasticinference.model.transform.*;

/**
 * Client for accessing Amazon Elastic Inference. All service calls made using this client are blocking, and will not
 * return until the service call completes.
 * <p>
 * <p>
 * Elastic Inference public APIs.
 * </p>
 * <p>
 * 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.
 * </p>
 */
@ThreadSafe
@Generated("com.amazonaws:aws-java-sdk-code-generator")
public class AmazonElasticInferenceClient extends AmazonWebServiceClient implements AmazonElasticInference {

    /** Provider for AWS credentials. */
    private final AWSCredentialsProvider awsCredentialsProvider;

    private static final Log log = LogFactory.getLog(AmazonElasticInference.class);

    /** Default signing name for the service. */
    private static final String DEFAULT_SIGNING_NAME = "elastic-inference";

    /** Client configuration factory providing ClientConfigurations tailored to this client */
    protected static final ClientConfigurationFactory configFactory = new ClientConfigurationFactory();

    private final AdvancedConfig advancedConfig;

    private static final com.amazonaws.protocol.json.SdkJsonProtocolFactory protocolFactory = new com.amazonaws.protocol.json.SdkJsonProtocolFactory(
            new JsonClientMetadata()
                    .withProtocolVersion("1.1")
                    .withSupportsCbor(false)
                    .withSupportsIon(false)
                    .withContentTypeOverride("application/json")
                    .addErrorMetadata(
                            new JsonErrorShapeMetadata().withErrorCode("InternalServerException").withExceptionUnmarshaller(
                                    com.amazonaws.services.elasticinference.model.transform.InternalServerExceptionUnmarshaller.getInstance()))
                    .addErrorMetadata(
                            new JsonErrorShapeMetadata().withErrorCode("BadRequestException").withExceptionUnmarshaller(
                                    com.amazonaws.services.elasticinference.model.transform.BadRequestExceptionUnmarshaller.getInstance()))
                    .addErrorMetadata(
                            new JsonErrorShapeMetadata().withErrorCode("ResourceNotFoundException").withExceptionUnmarshaller(
                                    com.amazonaws.services.elasticinference.model.transform.ResourceNotFoundExceptionUnmarshaller.getInstance()))
                    .withBaseServiceExceptionClass(com.amazonaws.services.elasticinference.model.AmazonElasticInferenceException.class));

    public static AmazonElasticInferenceClientBuilder builder() {
        return AmazonElasticInferenceClientBuilder.standard();
    }

    /**
     * Constructs a new client to invoke service methods on Amazon Elastic Inference using the specified parameters.
     *
     * <p>
     * All service calls made using this new client object are blocking, and will not return until the service call
     * completes.
     *
     * @param clientParams
     *        Object providing client parameters.
     */
    AmazonElasticInferenceClient(AwsSyncClientParams clientParams) {
        this(clientParams, false);
    }

    /**
     * Constructs a new client to invoke service methods on Amazon Elastic Inference using the specified parameters.
     *
     * <p>
     * All service calls made using this new client object are blocking, and will not return until the service call
     * completes.
     *
     * @param clientParams
     *        Object providing client parameters.
     */
    AmazonElasticInferenceClient(AwsSyncClientParams clientParams, boolean endpointDiscoveryEnabled) {
        super(clientParams);
        this.awsCredentialsProvider = clientParams.getCredentialsProvider();
        this.advancedConfig = clientParams.getAdvancedConfig();
        init();
    }

    private void init() {
        setServiceNameIntern(DEFAULT_SIGNING_NAME);
        setEndpointPrefix(ENDPOINT_PREFIX);
        // calling this.setEndPoint(...) will also modify the signer accordingly
        setEndpoint("api.elastic-inference.us-east-1.amazonaws.com");
        HandlerChainFactory chainFactory = new HandlerChainFactory();
        requestHandler2s.addAll(chainFactory.newRequestHandlerChain("/com/amazonaws/services/elasticinference/request.handlers"));
        requestHandler2s.addAll(chainFactory.newRequestHandler2Chain("/com/amazonaws/services/elasticinference/request.handler2s"));
        requestHandler2s.addAll(chainFactory.getGlobalHandlers());
    }

    /**
     * <p>
     * Describes the locations in which a given accelerator type or set of types is present in a given region.
     * </p>
     * <p>
     * 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.
     * </p>
     * 
     * @param describeAcceleratorOfferingsRequest
     * @return Result of the DescribeAcceleratorOfferings operation returned by the service.
     * @throws BadRequestException
     *         Raised when a malformed input has been provided to the API.
     * @throws ResourceNotFoundException
     *         Raised when the requested resource cannot be found.
     * @throws InternalServerException
     *         Raised when an unexpected error occurred during request processing.
     * @sample AmazonElasticInference.DescribeAcceleratorOfferings
     * @see <a href="http://docs.aws.amazon.com/goto/WebAPI/elastic-inference-2017-07-25/DescribeAcceleratorOfferings"
     *      target="_top">AWS API Documentation</a>
     */
    @Override
    public DescribeAcceleratorOfferingsResult describeAcceleratorOfferings(DescribeAcceleratorOfferingsRequest request) {
        request = beforeClientExecution(request);
        return executeDescribeAcceleratorOfferings(request);
    }

    @SdkInternalApi
    final DescribeAcceleratorOfferingsResult executeDescribeAcceleratorOfferings(DescribeAcceleratorOfferingsRequest describeAcceleratorOfferingsRequest) {

        ExecutionContext executionContext = createExecutionContext(describeAcceleratorOfferingsRequest);
        AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
        awsRequestMetrics.startEvent(Field.ClientExecuteTime);
        Request<DescribeAcceleratorOfferingsRequest> request = null;
        Response<DescribeAcceleratorOfferingsResult> response = null;

        try {
            awsRequestMetrics.startEvent(Field.RequestMarshallTime);
            try {
                request = new DescribeAcceleratorOfferingsRequestProtocolMarshaller(protocolFactory).marshall(super
                        .beforeMarshalling(describeAcceleratorOfferingsRequest));
                // Binds the request metrics to the current request.
                request.setAWSRequestMetrics(awsRequestMetrics);
                request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
                request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
                request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
                request.addHandlerContext(HandlerContextKey.SERVICE_ID, "Elastic Inference");
                request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "DescribeAcceleratorOfferings");
                request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);

            } finally {
                awsRequestMetrics.endEvent(Field.RequestMarshallTime);
            }

            HttpResponseHandler<AmazonWebServiceResponse<DescribeAcceleratorOfferingsResult>> responseHandler = protocolFactory.createResponseHandler(
                    new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false),
                    new DescribeAcceleratorOfferingsResultJsonUnmarshaller());
            response = invoke(request, responseHandler, executionContext);

            return response.getAwsResponse();

        } finally {

            endClientExecution(awsRequestMetrics, request, response);
        }
    }

    /**
     * <p>
     * Describes the accelerator types available in a given region, as well as their characteristics, such as memory and
     * throughput.
     * </p>
     * <p>
     * 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.
     * </p>
     * 
     * @param describeAcceleratorTypesRequest
     * @return Result of the DescribeAcceleratorTypes operation returned by the service.
     * @throws InternalServerException
     *         Raised when an unexpected error occurred during request processing.
     * @sample AmazonElasticInference.DescribeAcceleratorTypes
     * @see <a href="http://docs.aws.amazon.com/goto/WebAPI/elastic-inference-2017-07-25/DescribeAcceleratorTypes"
     *      target="_top">AWS API Documentation</a>
     */
    @Override
    public DescribeAcceleratorTypesResult describeAcceleratorTypes(DescribeAcceleratorTypesRequest request) {
        request = beforeClientExecution(request);
        return executeDescribeAcceleratorTypes(request);
    }

    @SdkInternalApi
    final DescribeAcceleratorTypesResult executeDescribeAcceleratorTypes(DescribeAcceleratorTypesRequest describeAcceleratorTypesRequest) {

        ExecutionContext executionContext = createExecutionContext(describeAcceleratorTypesRequest);
        AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
        awsRequestMetrics.startEvent(Field.ClientExecuteTime);
        Request<DescribeAcceleratorTypesRequest> request = null;
        Response<DescribeAcceleratorTypesResult> response = null;

        try {
            awsRequestMetrics.startEvent(Field.RequestMarshallTime);
            try {
                request = new DescribeAcceleratorTypesRequestProtocolMarshaller(protocolFactory).marshall(super
                        .beforeMarshalling(describeAcceleratorTypesRequest));
                // Binds the request metrics to the current request.
                request.setAWSRequestMetrics(awsRequestMetrics);
                request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
                request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
                request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
                request.addHandlerContext(HandlerContextKey.SERVICE_ID, "Elastic Inference");
                request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "DescribeAcceleratorTypes");
                request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);

            } finally {
                awsRequestMetrics.endEvent(Field.RequestMarshallTime);
            }

            HttpResponseHandler<AmazonWebServiceResponse<DescribeAcceleratorTypesResult>> responseHandler = protocolFactory.createResponseHandler(
                    new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false),
                    new DescribeAcceleratorTypesResultJsonUnmarshaller());
            response = invoke(request, responseHandler, executionContext);

            return response.getAwsResponse();

        } finally {

            endClientExecution(awsRequestMetrics, request, response);
        }
    }

    /**
     * <p>
     * Describes information over a provided set of accelerators belonging to an account.
     * </p>
     * <p>
     * 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.
     * </p>
     * 
     * @param describeAcceleratorsRequest
     * @return Result of the DescribeAccelerators operation returned by the service.
     * @throws BadRequestException
     *         Raised when a malformed input has been provided to the API.
     * @throws ResourceNotFoundException
     *         Raised when the requested resource cannot be found.
     * @throws InternalServerException
     *         Raised when an unexpected error occurred during request processing.
     * @sample AmazonElasticInference.DescribeAccelerators
     * @see <a href="http://docs.aws.amazon.com/goto/WebAPI/elastic-inference-2017-07-25/DescribeAccelerators"
     *      target="_top">AWS API Documentation</a>
     */
    @Override
    public DescribeAcceleratorsResult describeAccelerators(DescribeAcceleratorsRequest request) {
        request = beforeClientExecution(request);
        return executeDescribeAccelerators(request);
    }

    @SdkInternalApi
    final DescribeAcceleratorsResult executeDescribeAccelerators(DescribeAcceleratorsRequest describeAcceleratorsRequest) {

        ExecutionContext executionContext = createExecutionContext(describeAcceleratorsRequest);
        AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
        awsRequestMetrics.startEvent(Field.ClientExecuteTime);
        Request<DescribeAcceleratorsRequest> request = null;
        Response<DescribeAcceleratorsResult> response = null;

        try {
            awsRequestMetrics.startEvent(Field.RequestMarshallTime);
            try {
                request = new DescribeAcceleratorsRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(describeAcceleratorsRequest));
                // Binds the request metrics to the current request.
                request.setAWSRequestMetrics(awsRequestMetrics);
                request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
                request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
                request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
                request.addHandlerContext(HandlerContextKey.SERVICE_ID, "Elastic Inference");
                request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "DescribeAccelerators");
                request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);

            } finally {
                awsRequestMetrics.endEvent(Field.RequestMarshallTime);
            }

            HttpResponseHandler<AmazonWebServiceResponse<DescribeAcceleratorsResult>> responseHandler = protocolFactory.createResponseHandler(
                    new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new DescribeAcceleratorsResultJsonUnmarshaller());
            response = invoke(request, responseHandler, executionContext);

            return response.getAwsResponse();

        } finally {

            endClientExecution(awsRequestMetrics, request, response);
        }
    }

    /**
     * <p>
     * Returns all tags of an Elastic Inference Accelerator.
     * </p>
     * <p>
     * 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.
     * </p>
     * 
     * @param listTagsForResourceRequest
     * @return Result of the ListTagsForResource operation returned by the service.
     * @throws BadRequestException
     *         Raised when a malformed input has been provided to the API.
     * @throws ResourceNotFoundException
     *         Raised when the requested resource cannot be found.
     * @throws InternalServerException
     *         Raised when an unexpected error occurred during request processing.
     * @sample AmazonElasticInference.ListTagsForResource
     * @see <a href="http://docs.aws.amazon.com/goto/WebAPI/elastic-inference-2017-07-25/ListTagsForResource"
     *      target="_top">AWS API Documentation</a>
     */
    @Override
    public ListTagsForResourceResult listTagsForResource(ListTagsForResourceRequest request) {
        request = beforeClientExecution(request);
        return executeListTagsForResource(request);
    }

    @SdkInternalApi
    final ListTagsForResourceResult executeListTagsForResource(ListTagsForResourceRequest listTagsForResourceRequest) {

        ExecutionContext executionContext = createExecutionContext(listTagsForResourceRequest);
        AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
        awsRequestMetrics.startEvent(Field.ClientExecuteTime);
        Request<ListTagsForResourceRequest> request = null;
        Response<ListTagsForResourceResult> response = null;

        try {
            awsRequestMetrics.startEvent(Field.RequestMarshallTime);
            try {
                request = new ListTagsForResourceRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(listTagsForResourceRequest));
                // Binds the request metrics to the current request.
                request.setAWSRequestMetrics(awsRequestMetrics);
                request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
                request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
                request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
                request.addHandlerContext(HandlerContextKey.SERVICE_ID, "Elastic Inference");
                request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "ListTagsForResource");
                request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);

            } finally {
                awsRequestMetrics.endEvent(Field.RequestMarshallTime);
            }

            HttpResponseHandler<AmazonWebServiceResponse<ListTagsForResourceResult>> responseHandler = protocolFactory.createResponseHandler(
                    new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new ListTagsForResourceResultJsonUnmarshaller());
            response = invoke(request, responseHandler, executionContext);

            return response.getAwsResponse();

        } finally {

            endClientExecution(awsRequestMetrics, request, response);
        }
    }

    /**
     * <p>
     * Adds the specified tags to an Elastic Inference Accelerator.
     * </p>
     * <p>
     * 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.
     * </p>
     * 
     * @param tagResourceRequest
     * @return Result of the TagResource operation returned by the service.
     * @throws BadRequestException
     *         Raised when a malformed input has been provided to the API.
     * @throws ResourceNotFoundException
     *         Raised when the requested resource cannot be found.
     * @throws InternalServerException
     *         Raised when an unexpected error occurred during request processing.
     * @sample AmazonElasticInference.TagResource
     * @see <a href="http://docs.aws.amazon.com/goto/WebAPI/elastic-inference-2017-07-25/TagResource" target="_top">AWS
     *      API Documentation</a>
     */
    @Override
    public TagResourceResult tagResource(TagResourceRequest request) {
        request = beforeClientExecution(request);
        return executeTagResource(request);
    }

    @SdkInternalApi
    final TagResourceResult executeTagResource(TagResourceRequest tagResourceRequest) {

        ExecutionContext executionContext = createExecutionContext(tagResourceRequest);
        AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
        awsRequestMetrics.startEvent(Field.ClientExecuteTime);
        Request<TagResourceRequest> request = null;
        Response<TagResourceResult> response = null;

        try {
            awsRequestMetrics.startEvent(Field.RequestMarshallTime);
            try {
                request = new TagResourceRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(tagResourceRequest));
                // Binds the request metrics to the current request.
                request.setAWSRequestMetrics(awsRequestMetrics);
                request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
                request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
                request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
                request.addHandlerContext(HandlerContextKey.SERVICE_ID, "Elastic Inference");
                request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "TagResource");
                request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);

            } finally {
                awsRequestMetrics.endEvent(Field.RequestMarshallTime);
            }

            HttpResponseHandler<AmazonWebServiceResponse<TagResourceResult>> responseHandler = protocolFactory.createResponseHandler(
                    new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new TagResourceResultJsonUnmarshaller());
            response = invoke(request, responseHandler, executionContext);

            return response.getAwsResponse();

        } finally {

            endClientExecution(awsRequestMetrics, request, response);
        }
    }

    /**
     * <p>
     * Removes the specified tags from an Elastic Inference Accelerator.
     * </p>
     * <p>
     * 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.
     * </p>
     * 
     * @param untagResourceRequest
     * @return Result of the UntagResource operation returned by the service.
     * @throws BadRequestException
     *         Raised when a malformed input has been provided to the API.
     * @throws ResourceNotFoundException
     *         Raised when the requested resource cannot be found.
     * @throws InternalServerException
     *         Raised when an unexpected error occurred during request processing.
     * @sample AmazonElasticInference.UntagResource
     * @see <a href="http://docs.aws.amazon.com/goto/WebAPI/elastic-inference-2017-07-25/UntagResource"
     *      target="_top">AWS API Documentation</a>
     */
    @Override
    public UntagResourceResult untagResource(UntagResourceRequest request) {
        request = beforeClientExecution(request);
        return executeUntagResource(request);
    }

    @SdkInternalApi
    final UntagResourceResult executeUntagResource(UntagResourceRequest untagResourceRequest) {

        ExecutionContext executionContext = createExecutionContext(untagResourceRequest);
        AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
        awsRequestMetrics.startEvent(Field.ClientExecuteTime);
        Request<UntagResourceRequest> request = null;
        Response<UntagResourceResult> response = null;

        try {
            awsRequestMetrics.startEvent(Field.RequestMarshallTime);
            try {
                request = new UntagResourceRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(untagResourceRequest));
                // Binds the request metrics to the current request.
                request.setAWSRequestMetrics(awsRequestMetrics);
                request.addHandlerContext(HandlerContextKey.CLIENT_ENDPOINT, endpoint);
                request.addHandlerContext(HandlerContextKey.ENDPOINT_OVERRIDDEN, isEndpointOverridden());
                request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
                request.addHandlerContext(HandlerContextKey.SERVICE_ID, "Elastic Inference");
                request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "UntagResource");
                request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);

            } finally {
                awsRequestMetrics.endEvent(Field.RequestMarshallTime);
            }

            HttpResponseHandler<AmazonWebServiceResponse<UntagResourceResult>> responseHandler = protocolFactory.createResponseHandler(
                    new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new UntagResourceResultJsonUnmarshaller());
            response = invoke(request, responseHandler, executionContext);

            return response.getAwsResponse();

        } finally {

            endClientExecution(awsRequestMetrics, request, response);
        }
    }

    /**
     * Returns additional metadata for a previously executed successful, request, typically used for debugging issues
     * where a service isn't acting as expected. This data isn't considered part of the result data returned by an
     * operation, so it's available through this separate, diagnostic interface.
     * <p>
     * Response metadata is only cached for a limited period of time, so if you need to access this extra diagnostic
     * information for an executed request, you should use this method to retrieve it as soon as possible after
     * executing the request.
     *
     * @param request
     *        The originally executed request
     *
     * @return The response metadata for the specified request, or null if none is available.
     */
    public ResponseMetadata getCachedResponseMetadata(AmazonWebServiceRequest request) {
        return client.getResponseMetadataForRequest(request);
    }

    /**
     * Normal invoke with authentication. Credentials are required and may be overriden at the request level.
     **/
    private <X, Y extends AmazonWebServiceRequest> Response<X> invoke(Request<Y> request, HttpResponseHandler<AmazonWebServiceResponse<X>> responseHandler,
            ExecutionContext executionContext) {

        return invoke(request, responseHandler, executionContext, null, null);
    }

    /**
     * Normal invoke with authentication. Credentials are required and may be overriden at the request level.
     **/
    private <X, Y extends AmazonWebServiceRequest> Response<X> invoke(Request<Y> request, HttpResponseHandler<AmazonWebServiceResponse<X>> responseHandler,
            ExecutionContext executionContext, URI cachedEndpoint, URI uriFromEndpointTrait) {

        executionContext.setCredentialsProvider(CredentialUtils.getCredentialsProvider(request.getOriginalRequest(), awsCredentialsProvider));

        return doInvoke(request, responseHandler, executionContext, cachedEndpoint, uriFromEndpointTrait);
    }

    /**
     * Invoke with no authentication. Credentials are not required and any credentials set on the client or request will
     * be ignored for this operation.
     **/
    private <X, Y extends AmazonWebServiceRequest> Response<X> anonymousInvoke(Request<Y> request,
            HttpResponseHandler<AmazonWebServiceResponse<X>> responseHandler, ExecutionContext executionContext) {

        return doInvoke(request, responseHandler, executionContext, null, null);
    }

    /**
     * Invoke the request using the http client. Assumes credentials (or lack thereof) have been configured in the
     * ExecutionContext beforehand.
     **/
    private <X, Y extends AmazonWebServiceRequest> Response<X> doInvoke(Request<Y> request, HttpResponseHandler<AmazonWebServiceResponse<X>> responseHandler,
            ExecutionContext executionContext, URI discoveredEndpoint, URI uriFromEndpointTrait) {

        if (discoveredEndpoint != null) {
            request.setEndpoint(discoveredEndpoint);
            request.getOriginalRequest().getRequestClientOptions().appendUserAgent("endpoint-discovery");
        } else if (uriFromEndpointTrait != null) {
            request.setEndpoint(uriFromEndpointTrait);
        } else {
            request.setEndpoint(endpoint);
        }

        request.setTimeOffset(timeOffset);

        HttpResponseHandler<AmazonServiceException> errorResponseHandler = protocolFactory.createErrorResponseHandler(new JsonErrorResponseMetadata());

        return client.execute(request, responseHandler, errorResponseHandler, executionContext);
    }

    @com.amazonaws.annotation.SdkInternalApi
    static com.amazonaws.protocol.json.SdkJsonProtocolFactory getProtocolFactory() {
        return protocolFactory;
    }

    @Override
    public void shutdown() {
        super.shutdown();
    }

}