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在使用 boto3 for python 实现 aws 文本时。

代码：

import boto3

# Document
documentName = "/home/niranjan/IdeaProjects/amazon-forecast-samples/notebooks/basic/Tutorial/cert.pdf"

# Read document content
with open(documentName, 'rb') as document:
    imageBytes = bytearray(document.read())

print(type(imageBytes))

# Amazon Textract client
textract = boto3.client('textract', region_name='us-west-2')

# Call Amazon Textract
response = textract.detect_document_text(Document={'Bytes': imageBytes})

下面是 aws 的凭证和配置文件

niranjan@niranjan:~$ cat ~/.aws/credentials
[default]
aws_access_key_id=my_access_key_id
aws_secret_access_key=my_secret_access_key

niranjan@niranjan:~$ cat ~/.aws/config 
[default]
region=eu-west-1

我得到了这个例外：

---------------------------------------------------------------------------
UnsupportedDocumentException              Traceback (most recent call last)
<ipython-input-11-f52c10e3f3db> in <module>
     14 
     15 # Call Amazon Textract
---> 16 response = textract.detect_document_text(Document={'Bytes': imageBytes})
     17 
     18 #print(response)

~/venv/lib/python3.7/site-packages/botocore/client.py in _api_call(self, *args, **kwargs)
    314                     "%s() only accepts keyword arguments." % py_operation_name)
    315             # The "self" in this scope is referring to the BaseClient.
--> 316             return self._make_api_call(operation_name, kwargs)
    317 
    318         _api_call.__name__ = str(py_operation_name)

~/venv/lib/python3.7/site-packages/botocore/client.py in _make_api_call(self, operation_name, api_params)
    624             error_code = parsed_response.get("Error", {}).get("Code")
    625             error_class = self.exceptions.from_code(error_code)
--> 626             raise error_class(parsed_response, operation_name)
    627         else:
    628             return parsed_response

UnsupportedDocumentException: An error occurred (UnsupportedDocumentException) when calling the DetectDocumentText operation: Request has unsupported document format

我对 AWS textract 有点陌生，任何帮助将不胜感激。

4

2 回答 2

1

由于DetectDocumentTextTextract 的 API 不支持“pdf”类型的文档，发送 pdf 你遇到UnsupportedDocumentFormat Exception。尝试发送图像文件。

如果您仍然想发送 pdf 文件，那么您必须使用 Textract 的异步 API。例如StartDocumentAnalysisAPI 开始分析并GetDocumentAnalysis获取分析的文档。

检测输入文档中的文本。Amazon Textract 可以检测文本行和构成文本行的单词。输入文档必须是 JPEG 或 PNG 格式的图像。DetectDocumentText 在 Block 对象数组中返回检测到的文本。

https://docs.aws.amazon.com/textract/latest/dg/API_DetectDocumentText.html

于 2020-04-22T06:01:47.057 回答
0 
import boto3
import time

def startJob(s3BucketName, objectName):
    response = None
    client = boto3.client('textract')
    response = client.start_document_text_detection(
    DocumentLocation={
        'S3Object': {
            'Bucket': s3BucketName,
            'Name': objectName
        }
    })

    return response["JobId"]

def isJobComplete(jobId):
    # For production use cases, use SNS based notification 
    # Details at: https://docs.aws.amazon.com/textract/latest/dg/api-async.html
    time.sleep(5)
    client = boto3.client('textract')
    response = client.get_document_text_detection(JobId=jobId)
    status = response["JobStatus"]
    print("Job status: {}".format(status))

    while(status == "IN_PROGRESS"):
        time.sleep(5)
        response = client.get_document_text_detection(JobId=jobId)
        status = response["JobStatus"]
        print("Job status: {}".format(status))

    return status

def getJobResults(jobId):

    pages = []

    client = boto3.client('textract')
    response = client.get_document_text_detection(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_text_detection(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

# Document
s3BucketName = "ki-textract-demo-docs"
documentName = "Amazon-Textract-Pdf.pdf"

jobId = startJob(s3BucketName, documentName)
print("Started job with id: {}".format(jobId))
if(isJobComplete(jobId)):
    response = getJobResults(jobId)

#print(response)

# Print detected text
for resultPage in response:
    for item in resultPage["Blocks"]:
        if item["BlockType"] == "LINE":
            print ('\033[94m' +  item["Text"] + '\033[0m')

尝试此代码并参考 AWS 的此链接以获取解释

于 2020-08-02T05:45:27.923 回答