CODEWITHSUNDEEP
pythonazuremachine-translation
Laurence Arbin
Laurence Arbin

Reputation: 51

azure.ai.translation.document in Python - Cannot access source document location with the current permissions

I've having problems with the azure.ai.translation.document library in Python. I have set up the translation service in Azure along with a blob storage with two containers. I've created my SAS connections using a 'User Delegation key'. One for source (Read / List) and one for target (Write / List).
e.g.
enter image description here

I tried running the Python program, but the file in the source blob was not translated an saved to the target blob.

I'm getting this error: azure.core.exceptions.HttpResponseError: (InvalidDocumentAccessLevel): Cannot access source document location with the current permissions.

I've using this example: https://learn.microsoft.com/en-us/azure/cognitive-services/translator/document-translation/client-sdks?tabs=python

import os from azure.core.credentials import AzureKeyCredential from azure.ai.translation.document import DocumentTranslationClient

key = "<your-key>" endpoint = "<your-custom-endpoint>" sourceUrl = "<your-container-sourceUrl>" targetUrl = "<your-container-targetUrl>"

client = DocumentTranslationClient(endpoint, AzureKeyCredential(key))

poller = client.begin_translation(sourceUrl, targetUrl, "fr")
result = poller.result()

print("Status: {}".format(poller.status()))
print("Created on: {}".format(poller.details.created_on))
print("Last updated on: {}".format(poller.details.last_updated_on))
print("Total number of translations on documents: {}".format(poller.details.documents_total_count))

print("\nOf total documents...")
print("{} failed".format(poller.details.documents_failed_count))
print("{} succeeded".format(poller.details.documents_succeeded_count))

for document in result:
    print("Document ID: {}".format(document.id))
    print("Document status: {}".format(document.status))
    if document.status == "Succeeded":
        print("Source document location: {}".format(document.source_document_url))
        print("Translated document location: {}".format(document.translated_document_url))
        print("Translated to language: {}\n".format(document.translated_to))
    else:
        print("Error Code: {}, Message: {}\n".format(document.error.code, document.error.message))

I'm using Thonny in Windows in an Enterprise Environment (as I'm still trying to learn Python). It's possible our cloud proxy is screwing with things.

Thanks

Loz

Upvotes: 1

Views: 1028

Answers (3)

Madhav Kumar
Madhav Kumar

Reputation: 169

Go to the Source or Destination Container -> Shared access tokens

  1. Then Select the Permissions based on the storage and requirement

enter image description here

  1. Select the Allowed protocols

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check other setting based on your requirement -> then after copy the Blob SAS URL after clicking the Generate SAS token and URL -> pest it into the sourceUrl and targetUrl

ref: https://learn.microsoft.com/en-gb/azure/ai-services/translator/document-translation/how-to-guides/create-sas-tokens?tabs=Containers

Upvotes: 0

tirexx
tirexx

Reputation: 29

Here you can find the solution for your problem: https://learn.microsoft.com/en-us/answers/questions/1286278/cannot-access-source-document-location-with-the-cu

Basically, you need to explicitly set storage_type to StorageInputType.FILE. Seems translator fails to determine storage_type correctly for SAS urls.

translation_input = DocumentTranslationInput(
    source_url=source_url,    
    storage_type=StorageInputType.FILE,
    targets=[TranslationTarget(target_url=target_url, language=target_language)],
)

poller = client.begin_translation(inputs=[translation_input])

Upvotes: 0

Paramatma Pulivarthi
Paramatma Pulivarthi

Reputation: 1

instead of selecting HTTPS, select HTTPS and HTTP option, it should work.

Upvotes: 0

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