def sample_list_all_submitted_jobs():
import os
# [START list_all_jobs]
from azure.core.credentials import AzureKeyCredential
from azure.ai.translation.document import (
DocumentTranslationClient, )
endpoint = os.environ["AZURE_DOCUMENT_TRANSLATION_ENDPOINT"]
key = os.environ["AZURE_DOCUMENT_TRANSLATION_KEY"]
client = DocumentTranslationClient(endpoint, AzureKeyCredential(key))
translation_jobs = client.list_submitted_jobs(
) # type: ItemPaged[JobStatusResult]
for job in translation_jobs:
if job.status == "Running":
job = client.wait_until_done(job.id)
print("Job ID: {}".format(job.id))
print("Job status: {}".format(job.status))
print("Job created on: {}".format(job.created_on))
print("Job last updated on: {}".format(job.last_updated_on))
print("Total number of translations on documents: {}".format(
job.documents_total_count))
print("Total number of characters charged: {}".format(
job.total_characters_charged))
print("\nOf total documents...")
print("{} failed".format(job.documents_failed_count))
print("{} succeeded".format(job.documents_succeeded_count))
print("{} cancelled\n".format(job.documents_cancelled_count))
def sample_translation():
# [START begin_translation]
import os
from azure.core.credentials import AzureKeyCredential
from azure.ai.translation.document 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))
poller = client.begin_translation(source_container_url, target_container_url, "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))
def sample_list_translations():
import os
# [START list_translations]
from azure.core.credentials import AzureKeyCredential
from azure.ai.translation.document import DocumentTranslationClient
endpoint = os.environ["AZURE_DOCUMENT_TRANSLATION_ENDPOINT"]
key = os.environ["AZURE_DOCUMENT_TRANSLATION_KEY"]
client = DocumentTranslationClient(endpoint, AzureKeyCredential(key))
operations = client.list_translation_statuses(
) # type: ItemPaged[TranslationStatus]
for operation in operations:
print(f"ID: {operation.id}")
print(f"Status: {operation.status}")
print(f"Created on: {operation.created_on}")
print(f"Last updated on: {operation.last_updated_on}")
print(
f"Total number of operations on documents: {operation.documents_total_count}"
)
print(
f"Total number of characters charged: {operation.total_characters_charged}"
)
print("\nOf total documents...")
print(f"{operation.documents_failed_count} failed")
print(f"{operation.documents_succeeded_count} succeeded")
print(f"{operation.documents_canceled_count} canceled\n")
def sample_multiple_translation():
import os
from azure.core.credentials import AzureKeyCredential
from azure.ai.translation.document import (DocumentTranslationClient,
DocumentTranslationInput,
TranslationTarget)
endpoint = os.environ["AZURE_DOCUMENT_TRANSLATION_ENDPOINT"]
key = os.environ["AZURE_DOCUMENT_TRANSLATION_KEY"]
source_container_url_1 = os.environ["AZURE_SOURCE_CONTAINER_URL_1"]
source_container_url_2 = os.environ["AZURE_SOURCE_CONTAINER_URL_2"]
target_container_url_fr = os.environ["AZURE_TARGET_CONTAINER_URL_FR"]
target_container_url_ar = os.environ["AZURE_TARGET_CONTAINER_URL_AR"]
target_container_url_es = os.environ["AZURE_TARGET_CONTAINER_URL_ES"]
client = DocumentTranslationClient(endpoint, AzureKeyCredential(key))
poller = client.begin_translation(inputs=[
DocumentTranslationInput(
source_url=source_container_url_1,
targets=[
TranslationTarget(target_url=target_container_url_fr,
language_code="fr"),
TranslationTarget(target_url=target_container_url_ar,
language_code="ar")
]),
DocumentTranslationInput(source_url=source_container_url_2,
targets=[
TranslationTarget(
target_url=target_container_url_es,
language_code="es")
])
])
result = poller.result()
print(f"Status: {poller.status()}")
print(f"Created on: {poller.details.created_on}")
print(f"Last updated on: {poller.details.last_updated_on}")
print(
f"Total number of translations on documents: {poller.details.documents_total_count}"
)
print("\nOf total documents...")
print(f"{poller.details.documents_failed_count} failed")
print(f"{poller.details.documents_succeeded_count} succeeded")
for document in result:
print(f"Document ID: {document.id}")
print(f"Document status: {document.status}")
if document.status == "Succeeded":
print(f"Source document location: {document.source_document_url}")
print(
f"Translated document location: {document.translated_document_url}"
)
print(f"Translated to language: {document.translated_to}\n")
else:
print(
f"Error Code: {document.error.code}, Message: {document.error.message}\n"
)
def sample_translation_with_glossaries():
import os
from azure.core.credentials import AzureKeyCredential
from azure.ai.translation.document import (DocumentTranslationClient,
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")
])
])
job = client.create_translation_job(inputs=[inputs
]) # type: JobStatusResult
job_result = 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: ItemPaged[DocumentStatusResult]
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))
def sample_document_status_checks():
import os
import time
# [START create_translation_job]
from azure.core.credentials import AzureKeyCredential
from azure.ai.translation.document import (DocumentTranslationClient,
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))
job_result = 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]
completed_docs = []
while not job_result.has_completed:
time.sleep(30)
doc_statuses = client.list_all_document_statuses(job_result.id)
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 = client.get_job_status(job_result.id)
print("\nTranslation job completed.")
def sample_translation_with_glossaries():
import os
from azure.core.credentials import AzureKeyCredential
from azure.ai.translation.document import (DocumentTranslationClient,
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")
])
])
poller = client.begin_translation(inputs=[inputs])
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))
def sample_authentication_api_key():
# [START create_dt_client_with_key]
from azure.core.credentials import AzureKeyCredential
from azure.ai.translation.document import DocumentTranslationClient
endpoint = os.environ["AZURE_DOCUMENT_TRANSLATION_ENDPOINT"]
key = os.environ["AZURE_DOCUMENT_TRANSLATION_KEY"]
document_translation_client = DocumentTranslationClient(endpoint, AzureKeyCredential(key))
# [END create_dt_client_with_key]
# make calls with authenticated client
result = document_translation_client.get_supported_document_formats()
def __init__(self, arguments):
super().__init__(arguments)
# test related env vars
endpoint = os.environ["TRANSLATION_DOCUMENT_TEST_ENDPOINT"]
key = os.environ["TRANSLATION_DOCUMENT_TEST_API_KEY"]
self.storage_name = os.environ["TRANSLATION_DOCUMENT_STORAGE_NAME"]
self.storage_key = os.environ["TRANSLATION_DOCUMENT_STORAGE_KEY"]
self.storage_endpoint = "https://" + self.storage_name + ".blob.core.windows.net/"
self.source_container_name = "source-perf-" + str(uuid.uuid4())
self.target_container_name = "target-perf-" + str(uuid.uuid4())
self.service_client = DocumentTranslationClient(
endpoint, AzureKeyCredential(key), **self._client_kwargs)
self.async_service_client = AsyncDocumentTranslationClient(
endpoint, AzureKeyCredential(key), **self._client_kwargs)
def sample_authentication_with_azure_active_directory():
# [START create_dt_client_with_aad]
"""DefaultAzureCredential will use the values from these environment
variables: AZURE_CLIENT_ID, AZURE_TENANT_ID, AZURE_CLIENT_SECRET
"""
from azure.identity import DefaultAzureCredential
from azure.ai.translation.document import DocumentTranslationClient
endpoint = os.environ["AZURE_DOCUMENT_TRANSLATION_ENDPOINT"]
credential = DefaultAzureCredential()
document_translation_client = DocumentTranslationClient(endpoint, credential)
# [END create_dt_client_with_aad]
# make calls with authenticated client
result = document_translation_client.get_supported_document_formats()
def test_active_directory_auth(self):
token = self.generate_oauth_token()
endpoint = self.get_oauth_endpoint()
kwargs = {}
if os.getenv("AZURE_COGNITIVE_SCOPE"):
kwargs["credential_scopes"] = [os.getenv("AZURE_COGNITIVE_SCOPE")]
client = DocumentTranslationClient(endpoint, token, **kwargs)
# prepare containers and test data
blob_data = b'This is some text'
source_container_sas_url = self.create_source_container(data=Document(data=blob_data))
target_container_sas_url = self.create_target_container()
# prepare translation inputs
translation_inputs = [
DocumentTranslationInput(
source_url=source_container_sas_url,
targets=[
TranslationTarget(
target_url=target_container_sas_url,
language_code="fr"
)
]
)
]
# submit translation and test
self._begin_and_validate_translation(client, translation_inputs, 1, "fr")
async def sample_list_document_statuses_with_filters_async(self, client):
# import libraries
from azure.core.credentials import AzureKeyCredential
from azure.ai.translation.document import (
DocumentTranslationClient, )
from datetime import datetime
# obtain client secrets
endpoint = os.environ["AZURE_DOCUMENT_TRANSLATION_ENDPOINT"]
key = os.environ["AZURE_DOCUMENT_TRANSLATION_KEY"]
job_id = os.environ[
"JOB_ID"] # this should be the id for the job 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
# list jobs
async with client:
filtered_docs = client.list_all_document_statuses(
job_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 job in page:
display_doc_info(job)
def sample_list_translations_with_filters():
# import libraries
from azure.core.credentials import AzureKeyCredential
from azure.ai.translation.document import (
DocumentTranslationClient,
)
import os
from datetime import datetime
# obtain client secrets
endpoint = os.environ["AZURE_DOCUMENT_TRANSLATION_ENDPOINT"]
key = os.environ["AZURE_DOCUMENT_TRANSLATION_KEY"]
# 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 = ["Canceled", "Failed"]
order_by = ["created_on desc"]
results_per_page = 2
skip = 3
# list translation operations
submitted_translations = client.list_translation_statuses(
# filters
statuses=statuses,
created_after=start,
created_before=end,
# ordering
order_by=order_by,
# paging
skip=skip,
results_per_page=results_per_page
).by_page()
# check statuses
for page in submitted_translations:
for translation in page:
display_translation_info(translation)
def sample_document_status_checks():
# [START list_document_statuses]
import os
import time
from azure.core.credentials import AzureKeyCredential
from azure.ai.translation.document 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))
poller = client.begin_translation(source_container_url,
target_container_url, "es")
completed_docs = []
while not poller.done():
time.sleep(30)
doc_statuses = client.list_document_statuses(poller.id)
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.")
def sample_translation_with_custom_model():
import os
from azure.core.credentials import AzureKeyCredential
from azure.ai.translation.document 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"]
custom_model_id = os.environ["AZURE_CUSTOM_MODEL_ID"]
client = DocumentTranslationClient(endpoint, AzureKeyCredential(key))
poller = client.begin_translation(source_container_url,
target_container_url,
"es",
category_id=custom_model_id)
result = poller.result()
print(f"Operation status: {poller.details.status}")
print(f"Operation created on: {poller.details.created_on}")
print(f"Operation last updated on: {poller.details.last_updated_on}")
print(
f"Total number of translations on documents: {poller.details.documents_total_count}"
)
print("\nOf total documents...")
print(f"{poller.details.documents_failed_count} failed")
print(f"{poller.details.documents_succeeded_count} succeeded")
for document in result:
print(f"Document ID: {document.id}")
print(f"Document status: {document.status}")
if document.status == "Succeeded":
print(f"Source document location: {document.source_document_url}")
print(
f"Translated document location: {document.translated_document_url}"
)
print(f"Translated to language: {document.translated_to}\n")
else:
print(
f"Error Code: {document.error.code}, Message: {document.error.message}\n"
)
def sample_translation_under_folder():
import os
from azure.core.credentials import AzureKeyCredential
from azure.ai.translation.document 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"] # do not include the folder name in source url
target_container_url = os.environ["AZURE_TARGET_CONTAINER_URL"]
client = DocumentTranslationClient(endpoint, AzureKeyCredential(key))
poller = client.begin_translation(source_container_url, target_container_url, "fr", prefix="myfoldername")
result = poller.result()
for document in result:
print(f"Document ID: {document.id}")
print(f"Document status: {document.status}")
if document.status == "Succeeded":
print(f"Source document location: {document.source_document_url}")
print(f"Translated document location: {document.translated_document_url}")
print(f"Translated to language: {document.translated_to}\n")
else:
print(f"Error Code: {document.error.code}, Message: {document.error.message}\n")
def sample_translation_specific_document():
import os
from azure.core.credentials import AzureKeyCredential
from azure.ai.translation.document import DocumentTranslationClient
endpoint = os.environ["AZURE_DOCUMENT_TRANSLATION_ENDPOINT"]
key = os.environ["AZURE_DOCUMENT_TRANSLATION_KEY"]
source_blob_url = os.environ["AZURE_SOURCE_BLOB_URL"]
target_blob_url = os.environ["AZURE_TARGET_BLOB_URL"]
client = DocumentTranslationClient(endpoint, AzureKeyCredential(key))
poller = client.begin_translation(source_blob_url, target_blob_url, "fr", storage_type="File")
result = poller.result()
for document in result:
print(f"Document ID: {document.id}")
print(f"Document status: {document.status}")
if document.status == "Succeeded":
print(f"Source document location: {document.source_document_url}")
print(f"Translated document location: {document.translated_document_url}")
print(f"Translated to language: {document.translated_to}\n")
else:
print(f"Error Code: {document.error.code}, Message: {document.error.message}\n")
def test_active_directory_auth(self):
token = self.generate_oauth_token()
endpoint = self.get_oauth_endpoint()
client = DocumentTranslationClient(endpoint, token)
# prepare containers and test data
blob_data = b'This is some text'
source_container_sas_url = self.create_source_container(data=Document(
data=blob_data))
target_container_sas_url = self.create_target_container()
# prepare translation inputs
translation_inputs = [
DocumentTranslationInput(
source_url=source_container_sas_url,
targets=[
TranslationTarget(target_url=target_container_sas_url,
language_code="fr")
])
]
# submit translation and test
self._begin_and_validate_translation(client, translation_inputs, 1,
"fr")
class TranslationPerfStressTest(PerfStressTest):
def __init__(self, arguments):
super().__init__(arguments)
# test related env vars
endpoint = os.environ["TRANSLATION_DOCUMENT_TEST_ENDPOINT"]
key = os.environ["TRANSLATION_DOCUMENT_TEST_API_KEY"]
self.storage_name = os.environ["TRANSLATION_DOCUMENT_STORAGE_NAME"]
self.storage_key = os.environ["TRANSLATION_DOCUMENT_STORAGE_KEY"]
self.storage_endpoint = "https://" + self.storage_name + ".blob.core.windows.net/"
self.source_container_name = "source-perf-" + str(uuid.uuid4())
self.target_container_name = "target-perf-" + str(uuid.uuid4())
self.service_client = DocumentTranslationClient(
endpoint, AzureKeyCredential(key), **self._client_kwargs)
self.async_service_client = AsyncDocumentTranslationClient(
endpoint, AzureKeyCredential(key), **self._client_kwargs)
async def create_source_container(self):
container_client = ContainerClient(self.storage_endpoint,
self.source_container_name,
self.storage_key)
async with container_client:
await container_client.create_container()
docs = Document.create_docs(10)
for blob in docs:
await container_client.upload_blob(name=blob.prefix +
blob.name + blob.suffix,
data=blob.data)
return self.generate_sas_url(self.source_container_name, "rl")
async def create_target_container(self):
container_client = ContainerClient(self.storage_endpoint,
self.target_container_name,
self.storage_key)
async with container_client:
await container_client.create_container()
return self.generate_sas_url(self.target_container_name, "wl")
def generate_sas_url(self, container_name, permission):
sas_token = generate_container_sas(account_name=self.storage_name,
container_name=container_name,
account_key=self.storage_key,
permission=permission,
expiry=datetime.datetime.utcnow() +
datetime.timedelta(hours=2))
container_sas_url = self.storage_endpoint + container_name + "?" + sas_token
return container_sas_url
async def global_setup(self):
"""The global setup is run only once."""
self.source_container_sas_url = await self.create_source_container()
self.target_container_sas_url = await self.create_target_container()
poller = await self.async_service_client.begin_translation(
self.source_container_sas_url, self.target_container_sas_url, "fr")
self.translation_id = poller.id
async def global_cleanup(self):
"""The global cleanup is run only once."""
blob_service_client = BlobServiceClient(self.storage_endpoint,
self.storage_key)
async with blob_service_client:
await blob_service_client.delete_container(
self.source_container_name)
await blob_service_client.delete_container(
self.target_container_name)
async def close(self):
"""This is run after cleanup."""
await self.async_service_client.close()
self.service_client.close()
await super().close()
def run_sync(self):
"""The synchronous perf test."""
statuses = self.service_client.list_document_statuses(
self.translation_id)
for doc in statuses:
pass
async def run_async(self):
"""The asynchronous perf test."""
statuses = self.async_service_client.list_document_statuses(
self.translation_id)
async for doc in statuses:
pass
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 = self.create_container(
blob_service_client,
container_name=self.storage_source_container_name
or "translation-source-container",
)
target_container = 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:
source_container.upload_blob(self.document_name, doc)
else:
self.document_name = "example_document.txt"
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 = translation_client.create_translation_job(translation_inputs)
print("Created translation job with ID: {}".format(job.id))
print("Waiting until job completes...")
job_result = 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:")
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)
with open("translated_" + self.document_name, "wb") as my_blob:
download_stream = blob_client.download_blob()
my_blob.write(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))
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 = self.create_container(
blob_service_client,
container_name=self.storage_source_container_name
or "translation-source-container",
)
target_container = 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:
source_container.upload_blob(self.document_name, doc)
else:
self.document_name = "example_document.txt"
source_container.upload_blob(
name=self.document_name,
data=
b"This is an example translation with the document translation client library"
)
print(
f"Uploaded document {self.document_name} to storage container {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")
poller = translation_client.begin_translation(
source_container_sas_url, target_container_sas_url, "fr")
print(f"Created translation operation with ID: {poller.id}")
print("Waiting until translation completes...")
result = poller.result()
print(f"Status: {poller.status()}")
print("\nDocument results:")
for document in result:
print(f"Document ID: {document.id}")
print(f"Document status: {document.status}")
if document.status == "Succeeded":
print(
f"Source document location: {document.source_document_url}"
)
print(
f"Translated document location: {document.translated_document_url}"
)
print(f"Translated to language: {document.translated_to}\n")
blob_client = BlobClient.from_blob_url(
document.translated_document_url,
credential=self.storage_key)
with open("translated_" + self.document_name, "wb") as my_blob:
download_stream = blob_client.download_blob()
my_blob.write(download_stream.readall())
print("Downloaded {} locally".format("translated_" +
self.document_name))
else:
print("\nThere was a problem translating your document.")
print(
f"Document Error Code: {document.error.code}, Message: {document.error.message}\n"
)
