document_analysis

Creates, updates, deletes, gets or lists a document_analysis resource.

Overview

Name	document_analysis
Type	Resource
Id	aws.textract.document_analysis

Fields

The following fields are returned by SELECT queries:

get_document_analysis

Name	Datatype	Description
analyze_document_model_version	string
blocks	array	The results of the text-analysis operation.
document_metadata	object	Information about the input document.
job_status	string	The current status of the text detection job. (IN_PROGRESS, SUCCEEDED, FAILED, PARTIAL_SUCCESS)
next_token	string	If the response is truncated, Amazon Textract returns this token. You can use this token in the subsequent request to retrieve the next set of text detection results. (pattern: <code>.\S.</code>)
status_message	string	Returns if the detection job could not be completed. Contains explanation for what error occured.
warnings	array	A list of warnings that occurred during the document-analysis operation.

Methods

The following methods are available for this resource:

Name	Accessible by	Required Params	Optional Params	Description
get_document_analysis	select	region		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: Form data (key-value pairs). 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. Lines and words of text. A LINE Block object contains one or more WORD Block objects. All lines and words that are detected in the document are returned (including text that doesn't have a relationship with the value of the StartDocumentAnalysis FeatureTypes input parameter). Query. A QUERY Block object contains the query text, alias and link to the associated Query results block object. Query Results. A QUERY_RESULT Block object contains the answer to the query and an ID that connects it to the query asked. This Block also contains a confidence score. While processing a document with queries, look out for INVALID_REQUEST_PARAMETERS output. This indicates that either the per page query limit has been exceeded or that the operation is trying to query a page in the document which doesn’t exist. Selection elements such as check boxes and option buttons (radio buttons) can be detected in form data and in tables. A SELECTION_ELEMENT Block object contains information about a selection element, including the selection status. 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 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.
start_document_analysis	exec	region, DocumentLocation, FeatureTypes		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, TIFF, 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.

Parameters

Parameters can be passed in the WHERE clause of a query. Check the Methods section to see which parameters are required or optional for each operation.

Name	Datatype	Description
region	string	AWS region (default: us-east-1)

SELECT examples

get_document_analysis

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: Form data (key-value pairs). 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. Lines and words of text. A LINE Block object contains one or more WORD Block objects. All lines and words that are detected in the document are returned (including text that doesn't have a relationship with the value of the StartDocumentAnalysis FeatureTypes input parameter). Query. A QUERY Block object contains the query text, alias and link to the associated Query results block object. Query Results. A QUERY_RESULT Block object contains the answer to the query and an ID that connects it to the query asked. This Block also contains a confidence score. While processing a document with queries, look out for INVALID_REQUEST_PARAMETERS output. This indicates that either the per page query limit has been exceeded or that the operation is trying to query a page in the document which doesn’t exist. Selection elements such as check boxes and option buttons (radio buttons) can be detected in form data and in tables. A SELECTION_ELEMENT Block object contains information about a selection element, including the selection status. 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 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.

SELECT
analyze_document_model_version,
blocks,
document_metadata,
job_status,
next_token,
status_message,
warnings
FROM aws.textract.document_analysis
WHERE region = '{{ region }}' -- required
;

Lifecycle Methods

start_document_analysis

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, TIFF, 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.

EXEC aws.textract.document_analysis.start_document_analysis 
@region='{{ region }}' --required 
@@json=
'{
"DocumentLocation": "{{ DocumentLocation }}", 
"FeatureTypes": "{{ FeatureTypes }}", 
"ClientRequestToken": "{{ ClientRequestToken }}", 
"JobTag": "{{ JobTag }}", 
"NotificationChannel": "{{ NotificationChannel }}", 
"OutputConfig": "{{ OutputConfig }}", 
"KMSKeyId": "{{ KMSKeyId }}", 
"QueriesConfig": "{{ QueriesConfig }}", 
"AdaptersConfig": "{{ AdaptersConfig }}"
}'
;