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# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) Python Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is regenerated.
# --------------------------------------------------------------------------
import pytest
from devtools_testutils.aio import recorded_by_proxy_async
from testpreparer import AIProjectPreparer
from testpreparer_async import AIProjectClientTestBaseAsync
@pytest.mark.skip("you may need to update the auto-generated test case before run it")
class TestAIProjectDatasetsOperationsAsync(AIProjectClientTestBaseAsync):
@AIProjectPreparer()
@recorded_by_proxy_async
async def test_datasets_list_versions(self, aiproject_endpoint):
client = self.create_async_client(endpoint=aiproject_endpoint)
response = client.datasets.list_versions(
name="str",
)
result = [r async for r in response]
# please add some check logic here by yourself
# ...
@AIProjectPreparer()
@recorded_by_proxy_async
async def test_datasets_list(self, aiproject_endpoint):
client = self.create_async_client(endpoint=aiproject_endpoint)
response = client.datasets.list()
result = [r async for r in response]
# please add some check logic here by yourself
# ...
@AIProjectPreparer()
@recorded_by_proxy_async
async def test_datasets_get(self, aiproject_endpoint):
client = self.create_async_client(endpoint=aiproject_endpoint)
response = await client.datasets.get(
name="str",
version="str",
)
# please add some check logic here by yourself
# ...
@AIProjectPreparer()
@recorded_by_proxy_async
async def test_datasets_delete(self, aiproject_endpoint):
client = self.create_async_client(endpoint=aiproject_endpoint)
response = await client.datasets.delete(
name="str",
version="str",
)
# please add some check logic here by yourself
# ...
@AIProjectPreparer()
@recorded_by_proxy_async
async def test_datasets_create_or_update(self, aiproject_endpoint):
client = self.create_async_client(endpoint=aiproject_endpoint)
response = await client.datasets.create_or_update(
name="str",
version="str",
body={
"dataUri": "str",
"name": "str",
"type": "uri_file",
"version": "str",
"connectionName": "str",
"description": "str",
"id": "str",
"isReference": bool,
"tags": {"str": "str"},
},
)
# please add some check logic here by yourself
# ...
@AIProjectPreparer()
@recorded_by_proxy_async
async def test_datasets_pending_upload(self, aiproject_endpoint):
client = self.create_async_client(endpoint=aiproject_endpoint)
response = await client.datasets.pending_upload(
name="str",
version="str",
body={"pendingUploadType": "str", "connectionName": "str", "pendingUploadId": "str"},
)
# please add some check logic here by yourself
# ...
@AIProjectPreparer()
@recorded_by_proxy_async
async def test_datasets_get_credentials(self, aiproject_endpoint):
client = self.create_async_client(endpoint=aiproject_endpoint)
response = await client.datasets.get_credentials(
name="str",
version="str",
)
# please add some check logic here by yourself
# ...
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