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/*
* Copyright 2019-2024 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.augmentedairuntime;
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.augmentedairuntime.AmazonAugmentedAIRuntimeClientBuilder;
import com.amazonaws.AmazonServiceException;
import com.amazonaws.services.augmentedairuntime.model.*;
import com.amazonaws.services.augmentedairuntime.model.transform.*;
/**
* Client for accessing Amazon Augmented AI Runtime. All service calls made using this client are blocking, and will not
* return until the service call completes.
*
*
* Amazon Augmented AI (Amazon A2I) adds the benefit of human judgment to any machine learning application. When an AI
* application can't evaluate data with a high degree of confidence, human reviewers can take over. This human review is
* called a human review workflow. To create and start a human review workflow, you need three resources: a worker
* task template, a flow definition, and a human loop.
*
*
* For information about these resources and prerequisites for using Amazon A2I, see Get Started with Amazon Augmented
* AI in the Amazon SageMaker Developer Guide.
*
*
* This API reference includes information about API actions and data types that you can use to interact with Amazon A2I
* programmatically. Use this guide to:
*
*
* -
*
* Start a human loop with the StartHumanLoop operation when using Amazon A2I with a custom task
* type. To learn more about the difference between custom and built-in task types, see Use Task Types . To learn how
* to start a human loop using this API, see Create and Start a Human Loop for a Custom Task Type in the Amazon SageMaker Developer Guide.
*
*
* -
*
* Manage your human loops. You can list all human loops that you have created, describe individual human loops, and
* stop and delete human loops. To learn more, see Monitor and Manage Your
* Human Loop in the Amazon SageMaker Developer Guide.
*
*
*
*
* Amazon A2I integrates APIs from various AWS services to create and start human review workflows for those services.
* To learn how Amazon A2I uses these APIs, see Use APIs in Amazon A2I in the
* Amazon SageMaker Developer Guide.
*
*/
@ThreadSafe
@Generated("com.amazonaws:aws-java-sdk-code-generator")
public class AmazonAugmentedAIRuntimeClient extends AmazonWebServiceClient implements AmazonAugmentedAIRuntime {
/** Provider for AWS credentials. */
private final AWSCredentialsProvider awsCredentialsProvider;
private static final Log log = LogFactory.getLog(AmazonAugmentedAIRuntime.class);
/** Default signing name for the service. */
private static final String DEFAULT_SIGNING_NAME = "sagemaker";
/** 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("ValidationException").withExceptionUnmarshaller(
com.amazonaws.services.augmentedairuntime.model.transform.ValidationExceptionUnmarshaller.getInstance()))
.addErrorMetadata(
new JsonErrorShapeMetadata().withErrorCode("ConflictException").withExceptionUnmarshaller(
com.amazonaws.services.augmentedairuntime.model.transform.ConflictExceptionUnmarshaller.getInstance()))
.addErrorMetadata(
new JsonErrorShapeMetadata().withErrorCode("InternalServerException").withExceptionUnmarshaller(
com.amazonaws.services.augmentedairuntime.model.transform.InternalServerExceptionUnmarshaller.getInstance()))
.addErrorMetadata(
new JsonErrorShapeMetadata().withErrorCode("ThrottlingException").withExceptionUnmarshaller(
com.amazonaws.services.augmentedairuntime.model.transform.ThrottlingExceptionUnmarshaller.getInstance()))
.addErrorMetadata(
new JsonErrorShapeMetadata().withErrorCode("ResourceNotFoundException").withExceptionUnmarshaller(
com.amazonaws.services.augmentedairuntime.model.transform.ResourceNotFoundExceptionUnmarshaller.getInstance()))
.addErrorMetadata(
new JsonErrorShapeMetadata().withErrorCode("ServiceQuotaExceededException").withExceptionUnmarshaller(
com.amazonaws.services.augmentedairuntime.model.transform.ServiceQuotaExceededExceptionUnmarshaller.getInstance()))
.withBaseServiceExceptionClass(com.amazonaws.services.augmentedairuntime.model.AmazonAugmentedAIRuntimeException.class));
public static AmazonAugmentedAIRuntimeClientBuilder builder() {
return AmazonAugmentedAIRuntimeClientBuilder.standard();
}
/**
* Constructs a new client to invoke service methods on Amazon Augmented AI Runtime using the specified parameters.
*
*
* 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.
*/
AmazonAugmentedAIRuntimeClient(AwsSyncClientParams clientParams) {
this(clientParams, false);
}
/**
* Constructs a new client to invoke service methods on Amazon Augmented AI Runtime using the specified parameters.
*
*
* 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.
*/
AmazonAugmentedAIRuntimeClient(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("a2i-runtime.sagemaker.us-east-1.amazonaws.com");
HandlerChainFactory chainFactory = new HandlerChainFactory();
requestHandler2s.addAll(chainFactory.newRequestHandlerChain("/com/amazonaws/services/augmentedairuntime/request.handlers"));
requestHandler2s.addAll(chainFactory.newRequestHandler2Chain("/com/amazonaws/services/augmentedairuntime/request.handler2s"));
requestHandler2s.addAll(chainFactory.getGlobalHandlers());
}
/**
*
* Deletes the specified human loop for a flow definition.
*
*
* If the human loop was deleted, this operation will return a ResourceNotFoundException.
*
*
* @param deleteHumanLoopRequest
* @return Result of the DeleteHumanLoop operation returned by the service.
* @throws ValidationException
* The request isn't valid. Check the syntax and try again.
* @throws ResourceNotFoundException
* We couldn't find the requested resource. Check that your resources exists and were created in the same
* AWS Region as your request, and try your request again.
* @throws ThrottlingException
* You exceeded the maximum number of requests.
* @throws InternalServerException
* We couldn't process your request because of an issue with the server. Try again later.
* @sample AmazonAugmentedAIRuntime.DeleteHumanLoop
* @see AWS API Documentation
*/
@Override
public DeleteHumanLoopResult deleteHumanLoop(DeleteHumanLoopRequest request) {
request = beforeClientExecution(request);
return executeDeleteHumanLoop(request);
}
@SdkInternalApi
final DeleteHumanLoopResult executeDeleteHumanLoop(DeleteHumanLoopRequest deleteHumanLoopRequest) {
ExecutionContext executionContext = createExecutionContext(deleteHumanLoopRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new DeleteHumanLoopRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(deleteHumanLoopRequest));
// 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, "SageMaker A2I Runtime");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "DeleteHumanLoop");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new DeleteHumanLoopResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Returns information about the specified human loop. If the human loop was deleted, this operation will return a
* ResourceNotFoundException error.
*
*
* @param describeHumanLoopRequest
* @return Result of the DescribeHumanLoop operation returned by the service.
* @throws ValidationException
* The request isn't valid. Check the syntax and try again.
* @throws ResourceNotFoundException
* We couldn't find the requested resource. Check that your resources exists and were created in the same
* AWS Region as your request, and try your request again.
* @throws ThrottlingException
* You exceeded the maximum number of requests.
* @throws InternalServerException
* We couldn't process your request because of an issue with the server. Try again later.
* @sample AmazonAugmentedAIRuntime.DescribeHumanLoop
* @see AWS API Documentation
*/
@Override
public DescribeHumanLoopResult describeHumanLoop(DescribeHumanLoopRequest request) {
request = beforeClientExecution(request);
return executeDescribeHumanLoop(request);
}
@SdkInternalApi
final DescribeHumanLoopResult executeDescribeHumanLoop(DescribeHumanLoopRequest describeHumanLoopRequest) {
ExecutionContext executionContext = createExecutionContext(describeHumanLoopRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new DescribeHumanLoopRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(describeHumanLoopRequest));
// 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, "SageMaker A2I Runtime");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "DescribeHumanLoop");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new DescribeHumanLoopResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Returns information about human loops, given the specified parameters. If a human loop was deleted, it will not
* be included.
*
*
* @param listHumanLoopsRequest
* @return Result of the ListHumanLoops operation returned by the service.
* @throws ValidationException
* The request isn't valid. Check the syntax and try again.
* @throws ResourceNotFoundException
* We couldn't find the requested resource. Check that your resources exists and were created in the same
* AWS Region as your request, and try your request again.
* @throws ThrottlingException
* You exceeded the maximum number of requests.
* @throws InternalServerException
* We couldn't process your request because of an issue with the server. Try again later.
* @sample AmazonAugmentedAIRuntime.ListHumanLoops
* @see AWS API Documentation
*/
@Override
public ListHumanLoopsResult listHumanLoops(ListHumanLoopsRequest request) {
request = beforeClientExecution(request);
return executeListHumanLoops(request);
}
@SdkInternalApi
final ListHumanLoopsResult executeListHumanLoops(ListHumanLoopsRequest listHumanLoopsRequest) {
ExecutionContext executionContext = createExecutionContext(listHumanLoopsRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new ListHumanLoopsRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(listHumanLoopsRequest));
// 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, "SageMaker A2I Runtime");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "ListHumanLoops");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new ListHumanLoopsResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Starts a human loop, provided that at least one activation condition is met.
*
*
* @param startHumanLoopRequest
* @return Result of the StartHumanLoop operation returned by the service.
* @throws ValidationException
* The request isn't valid. Check the syntax and try again.
* @throws ThrottlingException
* You exceeded the maximum number of requests.
* @throws ServiceQuotaExceededException
* You exceeded your service quota. Service quotas, also referred to as limits, are the maximum number of
* service resources or operations for your AWS account. For a list of Amazon A2I service quotes, see Amazon Augmented AI Service Quotes.
* Delete some resources or request an increase in your service quota. You can request a quota increase
* using Service Quotas or the AWS Support Center. To request an increase, see AWS Service Quotas in
* the AWS General Reference.
* @throws InternalServerException
* We couldn't process your request because of an issue with the server. Try again later.
* @throws ConflictException
* Your request has the same name as another active human loop but has different input data. You cannot
* start two human loops with the same name and different input data.
* @sample AmazonAugmentedAIRuntime.StartHumanLoop
* @see AWS API Documentation
*/
@Override
public StartHumanLoopResult startHumanLoop(StartHumanLoopRequest request) {
request = beforeClientExecution(request);
return executeStartHumanLoop(request);
}
@SdkInternalApi
final StartHumanLoopResult executeStartHumanLoop(StartHumanLoopRequest startHumanLoopRequest) {
ExecutionContext executionContext = createExecutionContext(startHumanLoopRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new StartHumanLoopRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(startHumanLoopRequest));
// 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, "SageMaker A2I Runtime");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "StartHumanLoop");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new StartHumanLoopResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Stops the specified human loop.
*
*
* @param stopHumanLoopRequest
* @return Result of the StopHumanLoop operation returned by the service.
* @throws ValidationException
* The request isn't valid. Check the syntax and try again.
* @throws ResourceNotFoundException
* We couldn't find the requested resource. Check that your resources exists and were created in the same
* AWS Region as your request, and try your request again.
* @throws ThrottlingException
* You exceeded the maximum number of requests.
* @throws InternalServerException
* We couldn't process your request because of an issue with the server. Try again later.
* @sample AmazonAugmentedAIRuntime.StopHumanLoop
* @see AWS API Documentation
*/
@Override
public StopHumanLoopResult stopHumanLoop(StopHumanLoopRequest request) {
request = beforeClientExecution(request);
return executeStopHumanLoop(request);
}
@SdkInternalApi
final StopHumanLoopResult executeStopHumanLoop(StopHumanLoopRequest stopHumanLoopRequest) {
ExecutionContext executionContext = createExecutionContext(stopHumanLoopRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new StopHumanLoopRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(stopHumanLoopRequest));
// 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, "SageMaker A2I Runtime");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "StopHumanLoop");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new StopHumanLoopResultJsonUnmarshaller());
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.
*
* 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 Response invoke(Request request, HttpResponseHandler> 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 Response invoke(Request request, HttpResponseHandler> 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 Response anonymousInvoke(Request request,
HttpResponseHandler> 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 Response doInvoke(Request request, HttpResponseHandler> 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 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();
}
}