/* * 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.iotjobsdataplane; 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.iotjobsdataplane.AWSIoTJobsDataPlaneClientBuilder; import com.amazonaws.AmazonServiceException; import com.amazonaws.services.iotjobsdataplane.model.*; import com.amazonaws.services.iotjobsdataplane.model.transform.*; /** * Client for accessing AWS IoT Jobs Data Plane. All service calls made using this client are blocking, and will not * return until the service call completes. *

*

* AWS IoT Jobs is a service that allows you to define a set of jobs — remote operations that are sent to and executed * on one or more devices connected to AWS IoT. For example, you can define a job that instructs a set of devices to * download and install application or firmware updates, reboot, rotate certificates, or perform remote troubleshooting * operations. *

*

* To create a job, you make a job document which is a description of the remote operations to be performed, and you * specify a list of targets that should perform the operations. The targets can be individual things, thing groups or * both. *

*

* AWS IoT Jobs sends a message to inform the targets that a job is available. The target starts the execution of the * job by downloading the job document, performing the operations it specifies, and reporting its progress to AWS IoT. * The Jobs service provides commands to track the progress of a job on a specific target and for all the targets of the * job *

*/ @ThreadSafe @Generated("com.amazonaws:aws-java-sdk-code-generator") public class AWSIoTJobsDataPlaneClient extends AmazonWebServiceClient implements AWSIoTJobsDataPlane { /** Provider for AWS credentials. */ private final AWSCredentialsProvider awsCredentialsProvider; private static final Log log = LogFactory.getLog(AWSIoTJobsDataPlane.class); /** Default signing name for the service. */ private static final String DEFAULT_SIGNING_NAME = "iot-jobs-data"; /** 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("InvalidStateTransitionException").withExceptionUnmarshaller( com.amazonaws.services.iotjobsdataplane.model.transform.InvalidStateTransitionExceptionUnmarshaller.getInstance())) .addErrorMetadata( new JsonErrorShapeMetadata().withErrorCode("TerminalStateException").withExceptionUnmarshaller( com.amazonaws.services.iotjobsdataplane.model.transform.TerminalStateExceptionUnmarshaller.getInstance())) .addErrorMetadata( new JsonErrorShapeMetadata().withErrorCode("ServiceUnavailableException").withExceptionUnmarshaller( com.amazonaws.services.iotjobsdataplane.model.transform.ServiceUnavailableExceptionUnmarshaller.getInstance())) .addErrorMetadata( new JsonErrorShapeMetadata().withErrorCode("InvalidRequestException").withExceptionUnmarshaller( com.amazonaws.services.iotjobsdataplane.model.transform.InvalidRequestExceptionUnmarshaller.getInstance())) .addErrorMetadata( new JsonErrorShapeMetadata().withErrorCode("ThrottlingException").withExceptionUnmarshaller( com.amazonaws.services.iotjobsdataplane.model.transform.ThrottlingExceptionUnmarshaller.getInstance())) .addErrorMetadata( new JsonErrorShapeMetadata().withErrorCode("CertificateValidationException").withExceptionUnmarshaller( com.amazonaws.services.iotjobsdataplane.model.transform.CertificateValidationExceptionUnmarshaller.getInstance())) .addErrorMetadata( new JsonErrorShapeMetadata().withErrorCode("ResourceNotFoundException").withExceptionUnmarshaller( com.amazonaws.services.iotjobsdataplane.model.transform.ResourceNotFoundExceptionUnmarshaller.getInstance())) .withBaseServiceExceptionClass(com.amazonaws.services.iotjobsdataplane.model.AWSIoTJobsDataPlaneException.class)); public static AWSIoTJobsDataPlaneClientBuilder builder() { return AWSIoTJobsDataPlaneClientBuilder.standard(); } /** * Constructs a new client to invoke service methods on AWS IoT Jobs Data Plane 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. */ AWSIoTJobsDataPlaneClient(AwsSyncClientParams clientParams) { this(clientParams, false); } /** * Constructs a new client to invoke service methods on AWS IoT Jobs Data Plane 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. */ AWSIoTJobsDataPlaneClient(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("data.jobs.iot.us-east-1.amazonaws.com"); HandlerChainFactory chainFactory = new HandlerChainFactory(); requestHandler2s.addAll(chainFactory.newRequestHandlerChain("/com/amazonaws/services/iotjobsdataplane/request.handlers")); requestHandler2s.addAll(chainFactory.newRequestHandler2Chain("/com/amazonaws/services/iotjobsdataplane/request.handler2s")); requestHandler2s.addAll(chainFactory.getGlobalHandlers()); } /** *

* Gets details of a job execution. *

* * @param describeJobExecutionRequest * @return Result of the DescribeJobExecution operation returned by the service. * @throws InvalidRequestException * The contents of the request were invalid. For example, this code is returned when an UpdateJobExecution * request contains invalid status details. The message contains details about the error. * @throws ResourceNotFoundException * The specified resource does not exist. * @throws ThrottlingException * The rate exceeds the limit. * @throws ServiceUnavailableException * The service is temporarily unavailable. * @throws CertificateValidationException * The certificate is invalid. * @throws TerminalStateException * The job is in a terminal state. * @sample AWSIoTJobsDataPlane.DescribeJobExecution * @see AWS API Documentation */ @Override public DescribeJobExecutionResult describeJobExecution(DescribeJobExecutionRequest request) { request = beforeClientExecution(request); return executeDescribeJobExecution(request); } @SdkInternalApi final DescribeJobExecutionResult executeDescribeJobExecution(DescribeJobExecutionRequest describeJobExecutionRequest) { ExecutionContext executionContext = createExecutionContext(describeJobExecutionRequest); AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics(); awsRequestMetrics.startEvent(Field.ClientExecuteTime); Request request = null; Response response = null; try { awsRequestMetrics.startEvent(Field.RequestMarshallTime); try { request = new DescribeJobExecutionRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(describeJobExecutionRequest)); // 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, "IoT Jobs Data Plane"); request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "DescribeJobExecution"); request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig); } finally { awsRequestMetrics.endEvent(Field.RequestMarshallTime); } HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler( new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new DescribeJobExecutionResultJsonUnmarshaller()); response = invoke(request, responseHandler, executionContext); return response.getAwsResponse(); } finally { endClientExecution(awsRequestMetrics, request, response); } } /** *

* Gets the list of all jobs for a thing that are not in a terminal status. *

* * @param getPendingJobExecutionsRequest * @return Result of the GetPendingJobExecutions operation returned by the service. * @throws InvalidRequestException * The contents of the request were invalid. For example, this code is returned when an UpdateJobExecution * request contains invalid status details. The message contains details about the error. * @throws ResourceNotFoundException * The specified resource does not exist. * @throws ThrottlingException * The rate exceeds the limit. * @throws ServiceUnavailableException * The service is temporarily unavailable. * @throws CertificateValidationException * The certificate is invalid. * @sample AWSIoTJobsDataPlane.GetPendingJobExecutions * @see AWS API Documentation */ @Override public GetPendingJobExecutionsResult getPendingJobExecutions(GetPendingJobExecutionsRequest request) { request = beforeClientExecution(request); return executeGetPendingJobExecutions(request); } @SdkInternalApi final GetPendingJobExecutionsResult executeGetPendingJobExecutions(GetPendingJobExecutionsRequest getPendingJobExecutionsRequest) { ExecutionContext executionContext = createExecutionContext(getPendingJobExecutionsRequest); AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics(); awsRequestMetrics.startEvent(Field.ClientExecuteTime); Request request = null; Response response = null; try { awsRequestMetrics.startEvent(Field.RequestMarshallTime); try { request = new GetPendingJobExecutionsRequestProtocolMarshaller(protocolFactory).marshall(super .beforeMarshalling(getPendingJobExecutionsRequest)); // 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, "IoT Jobs Data Plane"); request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "GetPendingJobExecutions"); request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig); } finally { awsRequestMetrics.endEvent(Field.RequestMarshallTime); } HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler( new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new GetPendingJobExecutionsResultJsonUnmarshaller()); response = invoke(request, responseHandler, executionContext); return response.getAwsResponse(); } finally { endClientExecution(awsRequestMetrics, request, response); } } /** *

* Gets and starts the next pending (status IN_PROGRESS or QUEUED) job execution for a thing. *

* * @param startNextPendingJobExecutionRequest * @return Result of the StartNextPendingJobExecution operation returned by the service. * @throws InvalidRequestException * The contents of the request were invalid. For example, this code is returned when an UpdateJobExecution * request contains invalid status details. The message contains details about the error. * @throws ResourceNotFoundException * The specified resource does not exist. * @throws ThrottlingException * The rate exceeds the limit. * @throws ServiceUnavailableException * The service is temporarily unavailable. * @throws CertificateValidationException * The certificate is invalid. * @sample AWSIoTJobsDataPlane.StartNextPendingJobExecution * @see AWS API Documentation */ @Override public StartNextPendingJobExecutionResult startNextPendingJobExecution(StartNextPendingJobExecutionRequest request) { request = beforeClientExecution(request); return executeStartNextPendingJobExecution(request); } @SdkInternalApi final StartNextPendingJobExecutionResult executeStartNextPendingJobExecution(StartNextPendingJobExecutionRequest startNextPendingJobExecutionRequest) { ExecutionContext executionContext = createExecutionContext(startNextPendingJobExecutionRequest); AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics(); awsRequestMetrics.startEvent(Field.ClientExecuteTime); Request request = null; Response response = null; try { awsRequestMetrics.startEvent(Field.RequestMarshallTime); try { request = new StartNextPendingJobExecutionRequestProtocolMarshaller(protocolFactory).marshall(super .beforeMarshalling(startNextPendingJobExecutionRequest)); // 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, "IoT Jobs Data Plane"); request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "StartNextPendingJobExecution"); request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig); } finally { awsRequestMetrics.endEvent(Field.RequestMarshallTime); } HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler( new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new StartNextPendingJobExecutionResultJsonUnmarshaller()); response = invoke(request, responseHandler, executionContext); return response.getAwsResponse(); } finally { endClientExecution(awsRequestMetrics, request, response); } } /** *

* Updates the status of a job execution. *

* * @param updateJobExecutionRequest * @return Result of the UpdateJobExecution operation returned by the service. * @throws InvalidRequestException * The contents of the request were invalid. For example, this code is returned when an UpdateJobExecution * request contains invalid status details. The message contains details about the error. * @throws ResourceNotFoundException * The specified resource does not exist. * @throws ThrottlingException * The rate exceeds the limit. * @throws ServiceUnavailableException * The service is temporarily unavailable. * @throws CertificateValidationException * The certificate is invalid. * @throws InvalidStateTransitionException * An update attempted to change the job execution to a state that is invalid because of the job execution's * current state (for example, an attempt to change a request in state SUCCESS to state IN_PROGRESS). In * this case, the body of the error message also contains the executionState field. * @sample AWSIoTJobsDataPlane.UpdateJobExecution * @see AWS API Documentation */ @Override public UpdateJobExecutionResult updateJobExecution(UpdateJobExecutionRequest request) { request = beforeClientExecution(request); return executeUpdateJobExecution(request); } @SdkInternalApi final UpdateJobExecutionResult executeUpdateJobExecution(UpdateJobExecutionRequest updateJobExecutionRequest) { ExecutionContext executionContext = createExecutionContext(updateJobExecutionRequest); AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics(); awsRequestMetrics.startEvent(Field.ClientExecuteTime); Request request = null; Response response = null; try { awsRequestMetrics.startEvent(Field.RequestMarshallTime); try { request = new UpdateJobExecutionRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(updateJobExecutionRequest)); // 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, "IoT Jobs Data Plane"); request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "UpdateJobExecution"); request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig); } finally { awsRequestMetrics.endEvent(Field.RequestMarshallTime); } HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler( new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new UpdateJobExecutionResultJsonUnmarshaller()); 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(); } }