Question 95481 in Amazon Web Sevices Question posted in
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Having difficulties using the QUERY option in "textract" start document analisys with boto3 python – Amazon web services

My problem is that textract asynchronous method start_document_analysis, has an option for the type of analysis you want to perform, but when I try to use the "Queries" feature =>

FeatureTypes=[
        'TABLES'|'FORMS'|'QUERIES',
    ],

you would have to pass another parameter with the queries list =>

QueriesConfig={
        'Queries': [
            {
                'Text': 'string',
                'Alias': 'string',
                'Pages': [
                    'string',
                ]
            },
        ]
    }

once I pass this parameter, boto3 throws an exception that Queries config is not recognized as one of the parameters accepted, have anyone used this feature with python before ?

Tags:

3

Answers


  1. 0

    You can use by this way:

    def getJobResults(jobId):

    pages = []
    client = boto3.client('textract')
    response = client.get_document_analysis(JobId=jobId)
    pages.append(response)
    print("Resultset page recieved: {}".format(len(pages)))
    nextToken = None
    if('NextToken' in response):
        nextToken = response['NextToken']
    while(nextToken):
        response = client.get_document_analysis(JobId=jobId, NextToken=nextToken)
        pages.append(response)
        print("Resultset page recieved: {}".format(len(pages)))
        nextToken = None
        if('NextToken' in response):
            nextToken = response['NextToken']
    return pages


def get_kv_map(s3BucketName, documentName):

    client = boto3.client('textract')
    response = client.start_document_analysis(
        DocumentLocation={
            'S3Object': {
                'Bucket': s3BucketName,
                'Name': documentName
            }
        },
        FeatureTypes=['QUERIES'],
        QueriesConfig={
            'Queries': [
                {
                    "Text": "is 1. A. checkbox seleted"
                }
                
            ]
        }
    )
    
    job_id = response['JobId']
    response = client.get_document_analysis(JobId=job_id)
    status = response["JobStatus"]
    
    while(status == "IN_PROGRESS"):
        time.sleep(3)
        response = client.get_document_analysis(JobId=job_id)
        status = response["JobStatus"]
        print("Job status2: {}".format(status))
        
    response = getJobResults(job_id)    
    return response


def query_extraction():

    s3BucketName = "bucket-name"
    documentName = "xyz.pdf"

    data = get_kv_map(s3BucketName, documentName)
    
    return data

data = query_extraction()

    Hope this will solve your issue

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  2. 0 
    import trp.trp2 as t2 

def get_kv_map(s3BucketName, documentName):
    client = boto3.client('textract')
    response = client.start_document_analysis(
    DocumentLocation={
        'S3Object': {
            'Bucket': s3BucketName,
            'Name': documentName
        }
    },
    FeatureTypes=['QUERIES'],
    QueriesConfig={
        'Queries': [
            {
                "Text": "is 1. A. checkbox seleted"
            }
            
        ]
    }
)

    job_id = response['JobId']
    response = client.get_document_analysis(JobId=job_id)
    status = response["JobStatus"]

    while(status == "IN_PROGRESS"):
        time.sleep(3)
        response = client.get_document_analysis(JobId=job_id)
        status = response["JobStatus"]
        print("Job status: {}".format(status))
       
    return response



s3BucketName = "bucket-name"
documentName = "xyz.pdf"

data = get_kv_map(s3BucketName, documentName)
    
d = t2.TDocumentSchema().load(data)
page = d.pages[0]
query_answers = d.get_query_answers(page=page)
for x in query_answers:
    print(f"{x[1]},{x[2]}")
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  3. 0

    A simpler solution would be to use the amazon-textract-textractor package that wraps all this for you and helps you parse the responses. https://aws-samples.github.io/amazon-textract-textractor/index.html

    For example this calls textract with the Queries, Forms and Tables API all at once:

    from textractor import Textractor
from textractor.data.constants import TextractFeatures
from textractcaller import QueriesConfig, Query

extractor = Textractor(profile_name="default")

document1 = extractor.start_document_analysis(    
    file_source='./multipage.pdf',    
    features=[TextractFeatures.QUERIES, TextractFeatures.FORMS, TextractFeatures.TABLES],
    s3_upload_path='s3://textractor-tests/debug/',
    s3_output_path='s3://textractor-tests/debug/',
    save_image=True,
    queries=QueriesConfig([Query("What is the first cell value")])
)

    document1.queries[0].result

    0.129853474

    This calls the asynchronous API for you and will automatically block once you try to retrieve the value that the processing is completed.

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