azure_ai_document_translation_blob_container_async_quickstart.py

1import os
2from azure.core.credentials import AzureKeyCredential
3from azure.ai.translation.document import DocumentTranslationClient
4
5def main():
6    # Set your values for the service endpoint and API key
7    endpoint = "YOUR_TRANSLATION_ENDPOINT"
8    key = "YOUR_TRANSLATION_KEY"
9    
10    # Set your source and target container URLs (with SAS tokens)
11    source_container_url = "YOUR_SOURCE_CONTAINER_SAS_URL"
12    target_container_url = "YOUR_TARGET_CONTAINER_SAS_URL"
13    
14    # Initialize the client
15    client = DocumentTranslationClient(endpoint, AzureKeyCredential(key))
16
17    # Start the translation operation
18    # Note: 'target_language' is the language code you want to translate to
19    poller = client.begin_translation(source_container_url, target_container_url, "fr")
20    result = poller.result()
21
22    print(f"Status: {poller.status()}")
23    print(f"Created on: {poller.details.created_on}")
24    print(f"Last updated on: {poller.details.last_updated_on}")
25    print(f"Total number of documents: {poller.details.documents_total_count}")
26
27    print("\nDetails of documents in the translation operation:")
28    for document in result:
29        print(f"Document ID: {document.id}")
30        print(f"Document status: {document.status}")
31        if document.status == "Succeeded":
32            print(f"Source Document: {document.source_document_url}")
33            print(f"Translated Document: {document.translated_document_url}")
34            print(f"Language code: {document.translated_to}")
35        else:
36            print(f"Error Code: {document.error.code}, Message: {document.error.message}")
37
38if __name__ == "__main__":
39    main()