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/*
* Copyright 2014-2019 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.textract;
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.textract.AmazonTextractClientBuilder;
import com.amazonaws.AmazonServiceException;
import com.amazonaws.services.textract.model.*;
import com.amazonaws.services.textract.model.transform.*;
/**
* Client for accessing Amazon Textract. All service calls made using this client are blocking, and will not return
* until the service call completes.
*
*
* Amazon Textract detects and analyzes text in documents and converts it into machine-readable text. This is the API
* reference documentation for Amazon Textract.
*
*/
@ThreadSafe
@Generated("com.amazonaws:aws-java-sdk-code-generator")
public class AmazonTextractClient extends AmazonWebServiceClient implements AmazonTextract {
/** Provider for AWS credentials. */
private final AWSCredentialsProvider awsCredentialsProvider;
private static final Log log = LogFactory.getLog(AmazonTextract.class);
/** Default signing name for the service. */
private static final String DEFAULT_SIGNING_NAME = "textract";
/** 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)
.addErrorMetadata(
new JsonErrorShapeMetadata().withErrorCode("AccessDeniedException").withModeledClass(
com.amazonaws.services.textract.model.AccessDeniedException.class))
.addErrorMetadata(
new JsonErrorShapeMetadata().withErrorCode("BadDocumentException").withModeledClass(
com.amazonaws.services.textract.model.BadDocumentException.class))
.addErrorMetadata(
new JsonErrorShapeMetadata().withErrorCode("InvalidParameterException").withModeledClass(
com.amazonaws.services.textract.model.InvalidParameterException.class))
.addErrorMetadata(
new JsonErrorShapeMetadata().withErrorCode("DocumentTooLargeException").withModeledClass(
com.amazonaws.services.textract.model.DocumentTooLargeException.class))
.addErrorMetadata(
new JsonErrorShapeMetadata().withErrorCode("ProvisionedThroughputExceededException").withModeledClass(
com.amazonaws.services.textract.model.ProvisionedThroughputExceededException.class))
.addErrorMetadata(
new JsonErrorShapeMetadata().withErrorCode("UnsupportedDocumentException").withModeledClass(
com.amazonaws.services.textract.model.UnsupportedDocumentException.class))
.addErrorMetadata(
new JsonErrorShapeMetadata().withErrorCode("InvalidJobIdException").withModeledClass(
com.amazonaws.services.textract.model.InvalidJobIdException.class))
.addErrorMetadata(
new JsonErrorShapeMetadata().withErrorCode("InvalidS3ObjectException").withModeledClass(
com.amazonaws.services.textract.model.InvalidS3ObjectException.class))
.addErrorMetadata(
new JsonErrorShapeMetadata().withErrorCode("InternalServerError").withModeledClass(
com.amazonaws.services.textract.model.InternalServerErrorException.class))
.addErrorMetadata(
new JsonErrorShapeMetadata().withErrorCode("ThrottlingException").withModeledClass(
com.amazonaws.services.textract.model.ThrottlingException.class))
.addErrorMetadata(
new JsonErrorShapeMetadata().withErrorCode("LimitExceededException").withModeledClass(
com.amazonaws.services.textract.model.LimitExceededException.class))
.addErrorMetadata(
new JsonErrorShapeMetadata().withErrorCode("IdempotentParameterMismatchException").withModeledClass(
com.amazonaws.services.textract.model.IdempotentParameterMismatchException.class))
.withBaseServiceExceptionClass(com.amazonaws.services.textract.model.AmazonTextractException.class));
public static AmazonTextractClientBuilder builder() {
return AmazonTextractClientBuilder.standard();
}
/**
* Constructs a new client to invoke service methods on Amazon Textract 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.
*/
AmazonTextractClient(AwsSyncClientParams clientParams) {
this(clientParams, false);
}
/**
* Constructs a new client to invoke service methods on Amazon Textract 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.
*/
AmazonTextractClient(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("textract.us-east-1.amazonaws.com");
HandlerChainFactory chainFactory = new HandlerChainFactory();
requestHandler2s.addAll(chainFactory.newRequestHandlerChain("/com/amazonaws/services/textract/request.handlers"));
requestHandler2s.addAll(chainFactory.newRequestHandler2Chain("/com/amazonaws/services/textract/request.handler2s"));
requestHandler2s.addAll(chainFactory.getGlobalHandlers());
}
/**
*
* Analyzes an input document for relationships between detected items.
*
*
* The types of information returned are as follows:
*
*
* -
*
* Words and lines that are related to nearby lines and words. The related information is returned in two
* Block objects each of type KEY_VALUE_SET: a KEY Block object and a VALUE Block object. For
* example, Name: Ana Silva Carolina contains a key and value. Name: is the key. Ana Silva
* Carolina is the value.
*
*
* -
*
* Table and table cell data. A TABLE Block object contains information about a detected table. A CELL Block object
* is returned for each cell in a table.
*
*
* -
*
* Selectable elements such as checkboxes and radio buttons. A SELECTION_ELEMENT Block object contains information
* about a selectable element.
*
*
* -
*
* Lines and words of text. A LINE Block object contains one or more WORD Block objects.
*
*
*
*
* You can choose which type of analysis to perform by specifying the FeatureTypes list.
*
*
* The output is returned in a list of BLOCK objects.
*
*
* AnalyzeDocument is a synchronous operation. To analyze documents asynchronously, use
* StartDocumentAnalysis.
*
*
* For more information, see Document Text Analysis.
*
*
* @param analyzeDocumentRequest
* @return Result of the AnalyzeDocument operation returned by the service.
* @throws InvalidParameterException
* An input parameter violated a constraint. For example, in synchronous operations, an
* InvalidParameterException exception occurs when neither of the S3Object or
* Bytes values are supplied in the Document request parameter. Validate your
* parameter before calling the API operation again.
* @throws InvalidS3ObjectException
* Amazon Textract is unable to access the S3 object that's specified in the request.
* @throws UnsupportedDocumentException
* The format of the input document isn't supported. Amazon Textract supports documents that are .png or
* .jpg format.
* @throws DocumentTooLargeException
* The document can't be processed because it's too large. The maximum document size for synchronous
* operations 5 MB. The maximum document size for asynchronous operations is 500 MB for PDF format files.
* @throws BadDocumentException
* Amazon Textract isn't able to read the document.
* @throws AccessDeniedException
* You aren't authorized to perform the action.
* @throws ProvisionedThroughputExceededException
* The number of requests exceeded your throughput limit. If you want to increase this limit, contact Amazon
* Textract.
* @throws InternalServerErrorException
* Amazon Textract experienced a service issue. Try your call again.
* @throws ThrottlingException
* Amazon Textract is temporarily unable to process the request. Try your call again.
* @sample AmazonTextract.AnalyzeDocument
* @see AWS API
* Documentation
*/
@Override
public AnalyzeDocumentResult analyzeDocument(AnalyzeDocumentRequest request) {
request = beforeClientExecution(request);
return executeAnalyzeDocument(request);
}
@SdkInternalApi
final AnalyzeDocumentResult executeAnalyzeDocument(AnalyzeDocumentRequest analyzeDocumentRequest) {
ExecutionContext executionContext = createExecutionContext(analyzeDocumentRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new AnalyzeDocumentRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(analyzeDocumentRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "Textract");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "AnalyzeDocument");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new AnalyzeDocumentResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Detects text in the input document. Amazon Textract can detect lines of text and the words that make up a line of
* text. The input document must be an image in JPG or PNG format. DetectDocumentText returns the
* detected text in an array of Block objects.
*
*
* Each document page has as an associated Block of type PAGE. Each PAGE Block object is
* the parent of LINE Block objects that represent the lines of detected text on a page. A LINE
* Block object is a parent for each word that makes up the line. Words are represented by
* Block objects of type WORD.
*
*
* DetectDocumentText is a synchronous operation. To analyze documents asynchronously, use
* StartDocumentTextDetection.
*
*
* For more information, see Document Text Detection.
*
*
* @param detectDocumentTextRequest
* @return Result of the DetectDocumentText operation returned by the service.
* @throws InvalidParameterException
* An input parameter violated a constraint. For example, in synchronous operations, an
* InvalidParameterException exception occurs when neither of the S3Object or
* Bytes values are supplied in the Document request parameter. Validate your
* parameter before calling the API operation again.
* @throws InvalidS3ObjectException
* Amazon Textract is unable to access the S3 object that's specified in the request.
* @throws UnsupportedDocumentException
* The format of the input document isn't supported. Amazon Textract supports documents that are .png or
* .jpg format.
* @throws DocumentTooLargeException
* The document can't be processed because it's too large. The maximum document size for synchronous
* operations 5 MB. The maximum document size for asynchronous operations is 500 MB for PDF format files.
* @throws BadDocumentException
* Amazon Textract isn't able to read the document.
* @throws AccessDeniedException
* You aren't authorized to perform the action.
* @throws ProvisionedThroughputExceededException
* The number of requests exceeded your throughput limit. If you want to increase this limit, contact Amazon
* Textract.
* @throws InternalServerErrorException
* Amazon Textract experienced a service issue. Try your call again.
* @throws ThrottlingException
* Amazon Textract is temporarily unable to process the request. Try your call again.
* @sample AmazonTextract.DetectDocumentText
* @see AWS
* API Documentation
*/
@Override
public DetectDocumentTextResult detectDocumentText(DetectDocumentTextRequest request) {
request = beforeClientExecution(request);
return executeDetectDocumentText(request);
}
@SdkInternalApi
final DetectDocumentTextResult executeDetectDocumentText(DetectDocumentTextRequest detectDocumentTextRequest) {
ExecutionContext executionContext = createExecutionContext(detectDocumentTextRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new DetectDocumentTextRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(detectDocumentTextRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "Textract");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "DetectDocumentText");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new DetectDocumentTextResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Gets the results for an Amazon Textract asynchronous operation that analyzes text in a document.
*
*
* You start asynchronous text analysis by calling StartDocumentAnalysis, which returns a job identifier (
* JobId). When the text analysis operation finishes, Amazon Textract publishes a completion status to
* the Amazon Simple Notification Service (Amazon SNS) topic that's registered in the initial call to
* StartDocumentAnalysis. To get the results of the text-detection operation, first check that the
* status value published to the Amazon SNS topic is SUCCEEDED. If so, call
* GetDocumentAnalysis, and pass the job identifier (JobId) from the initial call to
* StartDocumentAnalysis.
*
*
* GetDocumentAnalysis returns an array of Block objects. The following types of information are
* returned:
*
*
* -
*
* Words and lines that are related to nearby lines and words. The related information is returned in two
* Block objects each of type KEY_VALUE_SET: a KEY Block object and a VALUE Block object. For
* example, Name: Ana Silva Carolina contains a key and value. Name: is the key. Ana Silva
* Carolina is the value.
*
*
* -
*
* Table and table cell data. A TABLE Block object contains information about a detected table. A CELL Block object
* is returned for each cell in a table.
*
*
* -
*
* Selectable elements such as checkboxes and radio buttons. A SELECTION_ELEMENT Block object contains information
* about a selectable element.
*
*
* -
*
* Lines and words of text. A LINE Block object contains one or more WORD Block objects.
*
*
*
*
* Use the MaxResults parameter to limit the number of blocks returned. If there are more results than
* specified in MaxResults, the value of NextToken in the operation response contains a
* pagination token for getting the next set of results. To get the next page of results, call
* GetDocumentAnalysis, and populate the NextToken request parameter with the token value
* that's returned from the previous call to GetDocumentAnalysis.
*
*
* For more information, see Document Text Analysis.
*
*
* @param getDocumentAnalysisRequest
* @return Result of the GetDocumentAnalysis operation returned by the service.
* @throws InvalidParameterException
* An input parameter violated a constraint. For example, in synchronous operations, an
* InvalidParameterException exception occurs when neither of the S3Object or
* Bytes values are supplied in the Document request parameter. Validate your
* parameter before calling the API operation again.
* @throws AccessDeniedException
* You aren't authorized to perform the action.
* @throws ProvisionedThroughputExceededException
* The number of requests exceeded your throughput limit. If you want to increase this limit, contact Amazon
* Textract.
* @throws InvalidJobIdException
* An invalid job identifier was passed to GetDocumentAnalysis or to GetDocumentAnalysis.
* @throws InternalServerErrorException
* Amazon Textract experienced a service issue. Try your call again.
* @throws ThrottlingException
* Amazon Textract is temporarily unable to process the request. Try your call again.
* @sample AmazonTextract.GetDocumentAnalysis
* @see AWS
* API Documentation
*/
@Override
public GetDocumentAnalysisResult getDocumentAnalysis(GetDocumentAnalysisRequest request) {
request = beforeClientExecution(request);
return executeGetDocumentAnalysis(request);
}
@SdkInternalApi
final GetDocumentAnalysisResult executeGetDocumentAnalysis(GetDocumentAnalysisRequest getDocumentAnalysisRequest) {
ExecutionContext executionContext = createExecutionContext(getDocumentAnalysisRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new GetDocumentAnalysisRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(getDocumentAnalysisRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "Textract");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "GetDocumentAnalysis");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false), new GetDocumentAnalysisResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Gets the results for an Amazon Textract asynchronous operation that detects text in a document. Amazon Textract
* can detect lines of text and the words that make up a line of text.
*
*
* You start asynchronous text detection by calling StartDocumentTextDetection, which returns a job
* identifier (JobId). When the text detection operation finishes, Amazon Textract publishes a
* completion status to the Amazon Simple Notification Service (Amazon SNS) topic that's registered in the initial
* call to StartDocumentTextDetection. To get the results of the text-detection operation, first check
* that the status value published to the Amazon SNS topic is SUCCEEDED. If so, call
* GetDocumentTextDetection, and pass the job identifier (JobId) from the initial call to
* StartDocumentTextDetection.
*
*
* GetDocumentTextDetection returns an array of Block objects.
*
*
* Each document page has as an associated Block of type PAGE. Each PAGE Block object is
* the parent of LINE Block objects that represent the lines of detected text on a page. A LINE
* Block object is a parent for each word that makes up the line. Words are represented by
* Block objects of type WORD.
*
*
* Use the MaxResults parameter to limit the number of blocks that are returned. If there are more results than
* specified in MaxResults, the value of NextToken in the operation response contains a
* pagination token for getting the next set of results. To get the next page of results, call
* GetDocumentTextDetection, and populate the NextToken request parameter with the token
* value that's returned from the previous call to GetDocumentTextDetection.
*
*
* For more information, see Document Text Detection.
*
*
* @param getDocumentTextDetectionRequest
* @return Result of the GetDocumentTextDetection operation returned by the service.
* @throws InvalidParameterException
* An input parameter violated a constraint. For example, in synchronous operations, an
* InvalidParameterException exception occurs when neither of the S3Object or
* Bytes values are supplied in the Document request parameter. Validate your
* parameter before calling the API operation again.
* @throws AccessDeniedException
* You aren't authorized to perform the action.
* @throws ProvisionedThroughputExceededException
* The number of requests exceeded your throughput limit. If you want to increase this limit, contact Amazon
* Textract.
* @throws InvalidJobIdException
* An invalid job identifier was passed to GetDocumentAnalysis or to GetDocumentAnalysis.
* @throws InternalServerErrorException
* Amazon Textract experienced a service issue. Try your call again.
* @throws ThrottlingException
* Amazon Textract is temporarily unable to process the request. Try your call again.
* @sample AmazonTextract.GetDocumentTextDetection
* @see AWS API Documentation
*/
@Override
public GetDocumentTextDetectionResult getDocumentTextDetection(GetDocumentTextDetectionRequest request) {
request = beforeClientExecution(request);
return executeGetDocumentTextDetection(request);
}
@SdkInternalApi
final GetDocumentTextDetectionResult executeGetDocumentTextDetection(GetDocumentTextDetectionRequest getDocumentTextDetectionRequest) {
ExecutionContext executionContext = createExecutionContext(getDocumentTextDetectionRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new GetDocumentTextDetectionRequestProtocolMarshaller(protocolFactory).marshall(super
.beforeMarshalling(getDocumentTextDetectionRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "Textract");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "GetDocumentTextDetection");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false),
new GetDocumentTextDetectionResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Starts asynchronous analysis of an input document for relationships between detected items such as key and value
* pairs, tables, and selection elements.
*
*
* StartDocumentAnalysis can analyze text in documents that are in JPG, PNG, and PDF format. The
* documents are stored in an Amazon S3 bucket. Use DocumentLocation to specify the bucket name and file name
* of the document.
*
*
* StartDocumentAnalysis returns a job identifier (JobId) that you use to get the results
* of the operation. When text analysis is finished, Amazon Textract publishes a completion status to the Amazon
* Simple Notification Service (Amazon SNS) topic that you specify in NotificationChannel. To get the
* results of the text analysis operation, first check that the status value published to the Amazon SNS topic is
* SUCCEEDED. If so, call GetDocumentAnalysis, and pass the job identifier (JobId)
* from the initial call to StartDocumentAnalysis.
*
*
* For more information, see Document Text Analysis.
*
*
* @param startDocumentAnalysisRequest
* @return Result of the StartDocumentAnalysis operation returned by the service.
* @throws InvalidParameterException
* An input parameter violated a constraint. For example, in synchronous operations, an
* InvalidParameterException exception occurs when neither of the S3Object or
* Bytes values are supplied in the Document request parameter. Validate your
* parameter before calling the API operation again.
* @throws InvalidS3ObjectException
* Amazon Textract is unable to access the S3 object that's specified in the request.
* @throws UnsupportedDocumentException
* The format of the input document isn't supported. Amazon Textract supports documents that are .png or
* .jpg format.
* @throws DocumentTooLargeException
* The document can't be processed because it's too large. The maximum document size for synchronous
* operations 5 MB. The maximum document size for asynchronous operations is 500 MB for PDF format files.
* @throws BadDocumentException
* Amazon Textract isn't able to read the document.
* @throws AccessDeniedException
* You aren't authorized to perform the action.
* @throws ProvisionedThroughputExceededException
* The number of requests exceeded your throughput limit. If you want to increase this limit, contact Amazon
* Textract.
* @throws InternalServerErrorException
* Amazon Textract experienced a service issue. Try your call again.
* @throws IdempotentParameterMismatchException
* A ClientRequestToken input parameter was reused with an operation, but at least one of the
* other input parameters is different from the previous call to the operation.
* @throws ThrottlingException
* Amazon Textract is temporarily unable to process the request. Try your call again.
* @throws LimitExceededException
* An Amazon Textract service limit was exceeded. For example, if you start too many asynchronous jobs
* concurrently, calls to start operations (StartDocumentTextDetection, for example) raise a
* LimitExceededException exception (HTTP status code: 400) until the number of concurrently running jobs is
* below the Amazon Textract service limit.
* @sample AmazonTextract.StartDocumentAnalysis
* @see AWS
* API Documentation
*/
@Override
public StartDocumentAnalysisResult startDocumentAnalysis(StartDocumentAnalysisRequest request) {
request = beforeClientExecution(request);
return executeStartDocumentAnalysis(request);
}
@SdkInternalApi
final StartDocumentAnalysisResult executeStartDocumentAnalysis(StartDocumentAnalysisRequest startDocumentAnalysisRequest) {
ExecutionContext executionContext = createExecutionContext(startDocumentAnalysisRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new StartDocumentAnalysisRequestProtocolMarshaller(protocolFactory).marshall(super.beforeMarshalling(startDocumentAnalysisRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "Textract");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "StartDocumentAnalysis");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory
.createResponseHandler(new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false),
new StartDocumentAnalysisResultJsonUnmarshaller());
response = invoke(request, responseHandler, executionContext);
return response.getAwsResponse();
} finally {
endClientExecution(awsRequestMetrics, request, response);
}
}
/**
*
* Starts the asynchronous detection of text in a document. Amazon Textract can detect lines of text and the words
* that make up a line of text.
*
*
* StartDocumentTextDetection can analyze text in documents that are in JPG, PNG, and PDF format. The
* documents are stored in an Amazon S3 bucket. Use DocumentLocation to specify the bucket name and file name
* of the document.
*
*
* StartTextDetection returns a job identifier (JobId) that you use to get the results of
* the operation. When text detection is finished, Amazon Textract publishes a completion status to the Amazon
* Simple Notification Service (Amazon SNS) topic that you specify in NotificationChannel. To get the
* results of the text detection operation, first check that the status value published to the Amazon SNS topic is
* SUCCEEDED. If so, call GetDocumentTextDetection, and pass the job identifier (
* JobId) from the initial call to StartDocumentTextDetection.
*
*
* For more information, see Document Text Detection.
*
*
* @param startDocumentTextDetectionRequest
* @return Result of the StartDocumentTextDetection operation returned by the service.
* @throws InvalidParameterException
* An input parameter violated a constraint. For example, in synchronous operations, an
* InvalidParameterException exception occurs when neither of the S3Object or
* Bytes values are supplied in the Document request parameter. Validate your
* parameter before calling the API operation again.
* @throws InvalidS3ObjectException
* Amazon Textract is unable to access the S3 object that's specified in the request.
* @throws UnsupportedDocumentException
* The format of the input document isn't supported. Amazon Textract supports documents that are .png or
* .jpg format.
* @throws DocumentTooLargeException
* The document can't be processed because it's too large. The maximum document size for synchronous
* operations 5 MB. The maximum document size for asynchronous operations is 500 MB for PDF format files.
* @throws BadDocumentException
* Amazon Textract isn't able to read the document.
* @throws AccessDeniedException
* You aren't authorized to perform the action.
* @throws ProvisionedThroughputExceededException
* The number of requests exceeded your throughput limit. If you want to increase this limit, contact Amazon
* Textract.
* @throws InternalServerErrorException
* Amazon Textract experienced a service issue. Try your call again.
* @throws IdempotentParameterMismatchException
* A ClientRequestToken input parameter was reused with an operation, but at least one of the
* other input parameters is different from the previous call to the operation.
* @throws ThrottlingException
* Amazon Textract is temporarily unable to process the request. Try your call again.
* @throws LimitExceededException
* An Amazon Textract service limit was exceeded. For example, if you start too many asynchronous jobs
* concurrently, calls to start operations (StartDocumentTextDetection, for example) raise a
* LimitExceededException exception (HTTP status code: 400) until the number of concurrently running jobs is
* below the Amazon Textract service limit.
* @sample AmazonTextract.StartDocumentTextDetection
* @see AWS API Documentation
*/
@Override
public StartDocumentTextDetectionResult startDocumentTextDetection(StartDocumentTextDetectionRequest request) {
request = beforeClientExecution(request);
return executeStartDocumentTextDetection(request);
}
@SdkInternalApi
final StartDocumentTextDetectionResult executeStartDocumentTextDetection(StartDocumentTextDetectionRequest startDocumentTextDetectionRequest) {
ExecutionContext executionContext = createExecutionContext(startDocumentTextDetectionRequest);
AWSRequestMetrics awsRequestMetrics = executionContext.getAwsRequestMetrics();
awsRequestMetrics.startEvent(Field.ClientExecuteTime);
Request request = null;
Response response = null;
try {
awsRequestMetrics.startEvent(Field.RequestMarshallTime);
try {
request = new StartDocumentTextDetectionRequestProtocolMarshaller(protocolFactory).marshall(super
.beforeMarshalling(startDocumentTextDetectionRequest));
// Binds the request metrics to the current request.
request.setAWSRequestMetrics(awsRequestMetrics);
request.addHandlerContext(HandlerContextKey.SIGNING_REGION, getSigningRegion());
request.addHandlerContext(HandlerContextKey.SERVICE_ID, "Textract");
request.addHandlerContext(HandlerContextKey.OPERATION_NAME, "StartDocumentTextDetection");
request.addHandlerContext(HandlerContextKey.ADVANCED_CONFIG, advancedConfig);
} finally {
awsRequestMetrics.endEvent(Field.RequestMarshallTime);
}
HttpResponseHandler> responseHandler = protocolFactory.createResponseHandler(
new JsonOperationMetadata().withPayloadJson(true).withHasStreamingSuccessResponse(false),
new StartDocumentTextDetectionResultJsonUnmarshaller());
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;
}
}