public class StartDocumentAnalysisRequest extends AmazonWebServiceRequest implements java.io.Serializable
Starts the asynchronous analysis of an input document for relationships between detected items such as key-value pairs, tables, and selection elements.
StartDocumentAnalysis
can analyze text in documents that are in
JPEG, 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.
Constructor and Description |
---|
StartDocumentAnalysisRequest() |
Modifier and Type | Method and Description |
---|---|
boolean |
equals(java.lang.Object obj) |
java.lang.String |
getClientRequestToken()
The idempotent token that you use to identify the start request.
|
DocumentLocation |
getDocumentLocation()
The location of the document to be processed.
|
java.util.List<java.lang.String> |
getFeatureTypes()
A list of the types of analysis to perform.
|
java.lang.String |
getJobTag()
An identifier that you specify that's included in the completion
notification published to the Amazon SNS topic.
|
java.lang.String |
getKMSKeyId()
The KMS key used to encrypt the inference results.
|
NotificationChannel |
getNotificationChannel()
The Amazon SNS topic ARN that you want Amazon Textract to publish the
completion status of the operation to.
|
OutputConfig |
getOutputConfig()
Sets if the output will go to a customer defined bucket.
|
int |
hashCode() |
void |
setClientRequestToken(java.lang.String clientRequestToken)
The idempotent token that you use to identify the start request.
|
void |
setDocumentLocation(DocumentLocation documentLocation)
The location of the document to be processed.
|
void |
setFeatureTypes(java.util.Collection<java.lang.String> featureTypes)
A list of the types of analysis to perform.
|
void |
setJobTag(java.lang.String jobTag)
An identifier that you specify that's included in the completion
notification published to the Amazon SNS topic.
|
void |
setKMSKeyId(java.lang.String kMSKeyId)
The KMS key used to encrypt the inference results.
|
void |
setNotificationChannel(NotificationChannel notificationChannel)
The Amazon SNS topic ARN that you want Amazon Textract to publish the
completion status of the operation to.
|
void |
setOutputConfig(OutputConfig outputConfig)
Sets if the output will go to a customer defined bucket.
|
java.lang.String |
toString()
Returns a string representation of this object; useful for testing and
debugging.
|
StartDocumentAnalysisRequest |
withClientRequestToken(java.lang.String clientRequestToken)
The idempotent token that you use to identify the start request.
|
StartDocumentAnalysisRequest |
withDocumentLocation(DocumentLocation documentLocation)
The location of the document to be processed.
|
StartDocumentAnalysisRequest |
withFeatureTypes(java.util.Collection<java.lang.String> featureTypes)
A list of the types of analysis to perform.
|
StartDocumentAnalysisRequest |
withFeatureTypes(java.lang.String... featureTypes)
A list of the types of analysis to perform.
|
StartDocumentAnalysisRequest |
withJobTag(java.lang.String jobTag)
An identifier that you specify that's included in the completion
notification published to the Amazon SNS topic.
|
StartDocumentAnalysisRequest |
withKMSKeyId(java.lang.String kMSKeyId)
The KMS key used to encrypt the inference results.
|
StartDocumentAnalysisRequest |
withNotificationChannel(NotificationChannel notificationChannel)
The Amazon SNS topic ARN that you want Amazon Textract to publish the
completion status of the operation to.
|
StartDocumentAnalysisRequest |
withOutputConfig(OutputConfig outputConfig)
Sets if the output will go to a customer defined bucket.
|
clone, getCloneRoot, getCloneSource, getGeneralProgressListener, getRequestClientOptions, getRequestCredentials, getRequestMetricCollector, setGeneralProgressListener, setRequestCredentials, setRequestMetricCollector, withGeneralProgressListener, withRequestMetricCollector
public DocumentLocation getDocumentLocation()
The location of the document to be processed.
The location of the document to be processed.
public void setDocumentLocation(DocumentLocation documentLocation)
The location of the document to be processed.
documentLocation
- The location of the document to be processed.
public StartDocumentAnalysisRequest withDocumentLocation(DocumentLocation documentLocation)
The location of the document to be processed.
Returns a reference to this object so that method calls can be chained together.
documentLocation
- The location of the document to be processed.
public java.util.List<java.lang.String> getFeatureTypes()
A list of the types of analysis to perform. Add TABLES to the list to
return information about the tables that are detected in the input
document. Add FORMS to return detected form data. To perform both types
of analysis, add TABLES and FORMS to FeatureTypes
. All lines
and words detected in the document are included in the response
(including text that isn't related to the value of
FeatureTypes
).
A list of the types of analysis to perform. Add TABLES to the
list to return information about the tables that are detected in
the input document. Add FORMS to return detected form data. To
perform both types of analysis, add TABLES and FORMS to
FeatureTypes
. All lines and words detected in the
document are included in the response (including text that isn't
related to the value of FeatureTypes
).
public void setFeatureTypes(java.util.Collection<java.lang.String> featureTypes)
A list of the types of analysis to perform. Add TABLES to the list to
return information about the tables that are detected in the input
document. Add FORMS to return detected form data. To perform both types
of analysis, add TABLES and FORMS to FeatureTypes
. All lines
and words detected in the document are included in the response
(including text that isn't related to the value of
FeatureTypes
).
featureTypes
-
A list of the types of analysis to perform. Add TABLES to the
list to return information about the tables that are detected
in the input document. Add FORMS to return detected form data.
To perform both types of analysis, add TABLES and FORMS to
FeatureTypes
. All lines and words detected in the
document are included in the response (including text that
isn't related to the value of FeatureTypes
).
public StartDocumentAnalysisRequest withFeatureTypes(java.lang.String... featureTypes)
A list of the types of analysis to perform. Add TABLES to the list to
return information about the tables that are detected in the input
document. Add FORMS to return detected form data. To perform both types
of analysis, add TABLES and FORMS to FeatureTypes
. All lines
and words detected in the document are included in the response
(including text that isn't related to the value of
FeatureTypes
).
Returns a reference to this object so that method calls can be chained together.
featureTypes
-
A list of the types of analysis to perform. Add TABLES to the
list to return information about the tables that are detected
in the input document. Add FORMS to return detected form data.
To perform both types of analysis, add TABLES and FORMS to
FeatureTypes
. All lines and words detected in the
document are included in the response (including text that
isn't related to the value of FeatureTypes
).
public StartDocumentAnalysisRequest withFeatureTypes(java.util.Collection<java.lang.String> featureTypes)
A list of the types of analysis to perform. Add TABLES to the list to
return information about the tables that are detected in the input
document. Add FORMS to return detected form data. To perform both types
of analysis, add TABLES and FORMS to FeatureTypes
. All lines
and words detected in the document are included in the response
(including text that isn't related to the value of
FeatureTypes
).
Returns a reference to this object so that method calls can be chained together.
featureTypes
-
A list of the types of analysis to perform. Add TABLES to the
list to return information about the tables that are detected
in the input document. Add FORMS to return detected form data.
To perform both types of analysis, add TABLES and FORMS to
FeatureTypes
. All lines and words detected in the
document are included in the response (including text that
isn't related to the value of FeatureTypes
).
public java.lang.String getClientRequestToken()
The idempotent token that you use to identify the start request. If you
use the same token with multiple StartDocumentAnalysis
requests, the same JobId
is returned. Use
ClientRequestToken
to prevent the same job from being
accidentally started more than once. For more information, see Calling Amazon Textract Asynchronous Operations.
Constraints:
Length: 1 - 64
Pattern: ^[a-zA-Z0-9-_]+$
The idempotent token that you use to identify the start request.
If you use the same token with multiple
StartDocumentAnalysis
requests, the same
JobId
is returned. Use
ClientRequestToken
to prevent the same job from
being accidentally started more than once. For more information,
see Calling Amazon Textract Asynchronous Operations.
public void setClientRequestToken(java.lang.String clientRequestToken)
The idempotent token that you use to identify the start request. If you
use the same token with multiple StartDocumentAnalysis
requests, the same JobId
is returned. Use
ClientRequestToken
to prevent the same job from being
accidentally started more than once. For more information, see Calling Amazon Textract Asynchronous Operations.
Constraints:
Length: 1 - 64
Pattern: ^[a-zA-Z0-9-_]+$
clientRequestToken
-
The idempotent token that you use to identify the start
request. If you use the same token with multiple
StartDocumentAnalysis
requests, the same
JobId
is returned. Use
ClientRequestToken
to prevent the same job from
being accidentally started more than once. For more
information, see Calling Amazon Textract Asynchronous Operations.
public StartDocumentAnalysisRequest withClientRequestToken(java.lang.String clientRequestToken)
The idempotent token that you use to identify the start request. If you
use the same token with multiple StartDocumentAnalysis
requests, the same JobId
is returned. Use
ClientRequestToken
to prevent the same job from being
accidentally started more than once. For more information, see Calling Amazon Textract Asynchronous Operations.
Returns a reference to this object so that method calls can be chained together.
Constraints:
Length: 1 - 64
Pattern: ^[a-zA-Z0-9-_]+$
clientRequestToken
-
The idempotent token that you use to identify the start
request. If you use the same token with multiple
StartDocumentAnalysis
requests, the same
JobId
is returned. Use
ClientRequestToken
to prevent the same job from
being accidentally started more than once. For more
information, see Calling Amazon Textract Asynchronous Operations.
public java.lang.String getJobTag()
An identifier that you specify that's included in the completion
notification published to the Amazon SNS topic. For example, you can use
JobTag
to identify the type of document that the completion
notification corresponds to (such as a tax form or a receipt).
Constraints:
Length: 1 - 64
Pattern: [a-zA-Z0-9_.\-:]+
An identifier that you specify that's included in the completion
notification published to the Amazon SNS topic. For example, you
can use JobTag
to identify the type of document that
the completion notification corresponds to (such as a tax form or
a receipt).
public void setJobTag(java.lang.String jobTag)
An identifier that you specify that's included in the completion
notification published to the Amazon SNS topic. For example, you can use
JobTag
to identify the type of document that the completion
notification corresponds to (such as a tax form or a receipt).
Constraints:
Length: 1 - 64
Pattern: [a-zA-Z0-9_.\-:]+
jobTag
-
An identifier that you specify that's included in the
completion notification published to the Amazon SNS topic. For
example, you can use JobTag
to identify the type
of document that the completion notification corresponds to
(such as a tax form or a receipt).
public StartDocumentAnalysisRequest withJobTag(java.lang.String jobTag)
An identifier that you specify that's included in the completion
notification published to the Amazon SNS topic. For example, you can use
JobTag
to identify the type of document that the completion
notification corresponds to (such as a tax form or a receipt).
Returns a reference to this object so that method calls can be chained together.
Constraints:
Length: 1 - 64
Pattern: [a-zA-Z0-9_.\-:]+
jobTag
-
An identifier that you specify that's included in the
completion notification published to the Amazon SNS topic. For
example, you can use JobTag
to identify the type
of document that the completion notification corresponds to
(such as a tax form or a receipt).
public NotificationChannel getNotificationChannel()
The Amazon SNS topic ARN that you want Amazon Textract to publish the completion status of the operation to.
The Amazon SNS topic ARN that you want Amazon Textract to publish the completion status of the operation to.
public void setNotificationChannel(NotificationChannel notificationChannel)
The Amazon SNS topic ARN that you want Amazon Textract to publish the completion status of the operation to.
notificationChannel
- The Amazon SNS topic ARN that you want Amazon Textract to publish the completion status of the operation to.
public StartDocumentAnalysisRequest withNotificationChannel(NotificationChannel notificationChannel)
The Amazon SNS topic ARN that you want Amazon Textract to publish the completion status of the operation to.
Returns a reference to this object so that method calls can be chained together.
notificationChannel
- The Amazon SNS topic ARN that you want Amazon Textract to publish the completion status of the operation to.
public OutputConfig getOutputConfig()
Sets if the output will go to a customer defined bucket. By default, Amazon Textract will save the results internally to be accessed by the GetDocumentAnalysis operation.
Sets if the output will go to a customer defined bucket. By default, Amazon Textract will save the results internally to be accessed by the GetDocumentAnalysis operation.
public void setOutputConfig(OutputConfig outputConfig)
Sets if the output will go to a customer defined bucket. By default, Amazon Textract will save the results internally to be accessed by the GetDocumentAnalysis operation.
outputConfig
- Sets if the output will go to a customer defined bucket. By default, Amazon Textract will save the results internally to be accessed by the GetDocumentAnalysis operation.
public StartDocumentAnalysisRequest withOutputConfig(OutputConfig outputConfig)
Sets if the output will go to a customer defined bucket. By default, Amazon Textract will save the results internally to be accessed by the GetDocumentAnalysis operation.
Returns a reference to this object so that method calls can be chained together.
outputConfig
- Sets if the output will go to a customer defined bucket. By default, Amazon Textract will save the results internally to be accessed by the GetDocumentAnalysis operation.
public java.lang.String getKMSKeyId()
The KMS key used to encrypt the inference results. This can be in either Key ID or Key Alias format. When a KMS key is provided, the KMS key will be used for server-side encryption of the objects in the customer bucket. When this parameter is not enabled, the result will be encrypted server side,using SSE-S3.
Constraints:
Length: 1 - 2048
Pattern: ^[A-Za-z0-9][A-Za-z0-9:_/+=,@.-]{0,2048}$
The KMS key used to encrypt the inference results. This can be in either Key ID or Key Alias format. When a KMS key is provided, the KMS key will be used for server-side encryption of the objects in the customer bucket. When this parameter is not enabled, the result will be encrypted server side,using SSE-S3.
public void setKMSKeyId(java.lang.String kMSKeyId)
The KMS key used to encrypt the inference results. This can be in either Key ID or Key Alias format. When a KMS key is provided, the KMS key will be used for server-side encryption of the objects in the customer bucket. When this parameter is not enabled, the result will be encrypted server side,using SSE-S3.
Constraints:
Length: 1 - 2048
Pattern: ^[A-Za-z0-9][A-Za-z0-9:_/+=,@.-]{0,2048}$
kMSKeyId
- The KMS key used to encrypt the inference results. This can be in either Key ID or Key Alias format. When a KMS key is provided, the KMS key will be used for server-side encryption of the objects in the customer bucket. When this parameter is not enabled, the result will be encrypted server side,using SSE-S3.
public StartDocumentAnalysisRequest withKMSKeyId(java.lang.String kMSKeyId)
The KMS key used to encrypt the inference results. This can be in either Key ID or Key Alias format. When a KMS key is provided, the KMS key will be used for server-side encryption of the objects in the customer bucket. When this parameter is not enabled, the result will be encrypted server side,using SSE-S3.
Returns a reference to this object so that method calls can be chained together.
Constraints:
Length: 1 - 2048
Pattern: ^[A-Za-z0-9][A-Za-z0-9:_/+=,@.-]{0,2048}$
kMSKeyId
- The KMS key used to encrypt the inference results. This can be in either Key ID or Key Alias format. When a KMS key is provided, the KMS key will be used for server-side encryption of the objects in the customer bucket. When this parameter is not enabled, the result will be encrypted server side,using SSE-S3.
public java.lang.String toString()
toString
in class java.lang.Object
Object.toString()
public int hashCode()
hashCode
in class java.lang.Object
public boolean equals(java.lang.Object obj)
equals
in class java.lang.Object
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