def processRequest()

in textract-pipeline/lambda/jobresultprocessor/lambda_function.py [0:0]


def processRequest(request):

    output = ""

    print(request)

    jobId = request['jobId']
    jobTag = request['jobTag']
    jobStatus = request['jobStatus']
    jobAPI = request['jobAPI']
    bucketName = request['bucketName']
    objectName = request['objectName']
    outputTable = request["outputTable"]
    documentsTable = request["documentsTable"]

    pages = getJobResults(jobAPI, jobId)

    print("Result pages recieved: {}".format(len(pages)))

    dynamodb = AwsHelper().getResource("dynamodb")
    ddb = dynamodb.Table(outputTable)

    detectForms = False
    detectTables = False
    if(jobAPI == "StartDocumentAnalysis"):
        detectForms = True
        detectTables = True

    dynamodb = AwsHelper().getResource('dynamodb')
    ddb = dynamodb.Table(outputTable)

    opg = OutputGenerator(jobTag, pages, bucketName, objectName, detectForms, detectTables, ddb)
    opg.run()

    print("DocumentId: {}".format(jobTag))

    ds = datastore.DocumentStore(documentsTable, outputTable)
    ds.markDocumentComplete(jobTag)

    output = "Processed -> Document: {}, Object: {}/{} processed.".format(jobTag, bucketName, objectName)

    print(output)

    return {
        'statusCode': 200,
        'body': output
    }