async def sample_translation_with_glossaries_async():
import os
from azure.core.credentials import AzureKeyCredential
from azure.ai.translation.document.aio import DocumentTranslationClient
from azure.ai.translation.document import (DocumentTranslationInput,
TranslationTarget,
TranslationGlossary)
endpoint = os.environ["AZURE_DOCUMENT_TRANSLATION_ENDPOINT"]
key = os.environ["AZURE_DOCUMENT_TRANSLATION_KEY"]
source_container_url = os.environ["AZURE_SOURCE_CONTAINER_URL"]
target_container_url = os.environ["AZURE_TARGET_CONTAINER_URL"]
glossary_url = os.environ["AZURE_TRANSLATION_GLOSSARY_URL"]
client = DocumentTranslationClient(endpoint, AzureKeyCredential(key))
inputs = DocumentTranslationInput(
source_url=source_container_url,
targets=[
TranslationTarget(target_url=target_container_url,
language_code="es",
glossaries=[
TranslationGlossary(
glossary_url=glossary_url,
file_format="TSV")
])
])
async with client:
job = await client.create_translation_job(inputs=[inputs]
) # type: JobStatusResult
job_result = await client.wait_until_done(job.id
) # type: JobStatusResult
print("Job status: {}".format(job_result.status))
print("Job created on: {}".format(job_result.created_on))
print("Job last updated on: {}".format(job_result.last_updated_on))
print("Total number of translations on documents: {}".format(
job_result.documents_total_count))
print("\nOf total documents...")
print("{} failed".format(job_result.documents_failed_count))
print("{} succeeded".format(job_result.documents_succeeded_count))
doc_results = client.list_all_document_statuses(
job_result.id) # type: AsyncItemPaged[DocumentStatusResult]
async for document in doc_results:
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.translate_to))
else:
print("Error Code: {}, Message: {}\n".format(
document.error.code, document.error.message))
async def sample_document_status_checks_async():
import os
# [START create_translation_job_async]
from azure.core.credentials import AzureKeyCredential
from azure.ai.translation.document.aio import DocumentTranslationClient
from azure.ai.translation.document import (DocumentTranslationInput,
TranslationTarget)
endpoint = os.environ["AZURE_DOCUMENT_TRANSLATION_ENDPOINT"]
key = os.environ["AZURE_DOCUMENT_TRANSLATION_KEY"]
source_container_url = os.environ["AZURE_SOURCE_CONTAINER_URL"]
target_container_url = os.environ["AZURE_TARGET_CONTAINER_URL"]
client = DocumentTranslationClient(endpoint, AzureKeyCredential(key))
async with client:
job_result = await client.create_translation_job(
inputs=[
DocumentTranslationInput(
source_url=source_container_url,
targets=[
TranslationTarget(target_url=target_container_url,
language_code="es")
])
]) # type: JobStatusResult
# [END create_translation_job_async]
completed_docs = []
while not job_result.has_completed:
await asyncio.sleep(30)
doc_statuses = client.list_all_document_statuses(job_result.id)
async for document in doc_statuses:
if document.id not in completed_docs:
if document.status == "Succeeded":
print(
"Document at {} was translated to {} language. You can find translated document at {}"
.format(document.source_document_url,
document.translate_to,
document.translated_document_url))
completed_docs.append(document.id)
if document.status == "Failed":
print("Document ID: {}, Error Code: {}, Message: {}".
format(document.id, document.error.code,
document.error.message))
completed_docs.append(document.id)
if document.status == "Running":
print(
"Document ID: {}, translation progress is {} percent"
.format(document.id,
document.translation_progress * 100))
job_result = await client.get_job_status(job_result.id)
print("\nTranslation job completed.")
async def sample_list_document_statuses_with_filters_async():
# import libraries
from azure.core.credentials import AzureKeyCredential
from azure.ai.translation.document.aio import (
DocumentTranslationClient,
)
from datetime import datetime
# obtain client secrets
endpoint = os.environ["AZURE_DOCUMENT_TRANSLATION_ENDPOINT"]
key = os.environ["AZURE_DOCUMENT_TRANSLATION_KEY"]
translation_id = os.environ["TRANSLATION_ID"] # this should be the id for the translation operation you'd like to list docs for!
# authorize client
client = DocumentTranslationClient(endpoint, AzureKeyCredential(key))
# set your filters
'''
Note:
these are just sample values for the filters!
please comment/uncomment/change what you are interested in using.
'''
start = datetime(2021, 4, 12)
end = datetime(2021, 4, 14)
statuses = ["Cancelled", "Failed"]
order_by = ["createdDateTimeUtc desc"]
results_per_page = 2
skip = 3
async with client:
filtered_docs = client.list_all_document_statuses(
translation_id,
# filters
statuses=statuses,
translated_after=start,
translated_before=end,
# ordering
order_by=order_by,
# paging
skip=skip,
results_per_page=results_per_page
).by_page()
# check statuses
async for page in filtered_docs:
async for doc in page:
display_doc_info(doc)
async def sample_document_status_checks_async():
# [START list_all_document_statuses_async]
import os
from azure.core.credentials import AzureKeyCredential
from azure.ai.translation.document.aio import DocumentTranslationClient
endpoint = os.environ["AZURE_DOCUMENT_TRANSLATION_ENDPOINT"]
key = os.environ["AZURE_DOCUMENT_TRANSLATION_KEY"]
source_container_url = os.environ["AZURE_SOURCE_CONTAINER_URL"]
target_container_url = os.environ["AZURE_TARGET_CONTAINER_URL"]
client = DocumentTranslationClient(endpoint, AzureKeyCredential(key))
async with client:
poller = await client.begin_translation(source_container_url,
target_container_url, "es")
completed_docs = []
while poller.status() in ["Running", "NotStarted"]:
await asyncio.sleep(30)
doc_statuses = client.list_all_document_statuses(poller.id)
async for document in doc_statuses:
if document.id not in completed_docs:
if document.status == "Succeeded":
print(
"Document at {} was translated to {} language. You can find translated document at {}"
.format(document.source_document_url,
document.translated_to,
document.translated_document_url))
completed_docs.append(document.id)
if document.status == "Failed":
print(
"Document at {} failed translation. Error Code: {}, Message: {}"
.format(document.source_document_url,
document.error.code,
document.error.message))
completed_docs.append(document.id)
if document.status == "Running":
print(
"Document ID: {}, translation progress is {} percent"
.format(document.id,
document.translation_progress * 100))
print("\nTranslation completed.")
async def sample_translation_with_azure_blob(self):
translation_client = DocumentTranslationClient(
self.endpoint, AzureKeyCredential(self.key))
blob_service_client = BlobServiceClient(self.storage_endpoint,
credential=self.storage_key)
source_container = await self.create_container(
blob_service_client,
container_name=self.storage_source_container_name
or "translation-source-container",
)
target_container = await self.create_container(
blob_service_client,
container_name=self.storage_target_container_name
or "translation-target-container")
if self.document_name:
with open(self.document_name, "rb") as doc:
await source_container.upload_blob(self.document_name, doc)
else:
self.document_name = "example_document.txt"
await source_container.upload_blob(
name=self.document_name,
data=
b"This is an example translation with the document translation client library"
)
print("Uploaded document {} to storage container {}".format(
self.document_name, source_container.container_name))
source_container_sas_url = self.generate_sas_url(source_container,
permissions="rl")
target_container_sas_url = self.generate_sas_url(target_container,
permissions="wl")
translation_inputs = [
DocumentTranslationInput(
source_url=source_container_sas_url,
targets=[
TranslationTarget(target_url=target_container_sas_url,
language_code="fr")
])
]
job = await translation_client.create_translation_job(
translation_inputs)
print("Created translation job with ID: {}".format(job.id))
print("Waiting until job completes...")
job_result = await translation_client.wait_until_done(job.id)
print("Job status: {}".format(job_result.status))
doc_results = translation_client.list_all_document_statuses(
job_result.id)
print("\nDocument results:")
async for document in doc_results:
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.translate_to))
blob_client = BlobClient.from_blob_url(
document.translated_document_url,
credential=self.storage_key)
async with blob_client:
with open("translated_" + self.document_name,
"wb") as my_blob:
download_stream = await blob_client.download_blob()
my_blob.write(await download_stream.readall())
print("Downloaded {} locally".format("translated_" +
self.document_name))
else:
print("\nThere was a problem translating your document.")
print("Document Error Code: {}, Message: {}\n".format(
document.error.code, document.error.message))
await translation_client.close()
await blob_service_client.close()