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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 TestAIProjectEvaluationsOperationsAsync(AIProjectClientTestBaseAsync):
@AIProjectPreparer()
@recorded_by_proxy_async
async def test_evaluations_get(self, aiproject_endpoint):
client = self.create_async_client(endpoint=aiproject_endpoint)
response = await client.evaluations.get(
name="str",
)
# please add some check logic here by yourself
# ...
@AIProjectPreparer()
@recorded_by_proxy_async
async def test_evaluations_list(self, aiproject_endpoint):
client = self.create_async_client(endpoint=aiproject_endpoint)
response = client.evaluations.list()
result = [r async for r in response]
# please add some check logic here by yourself
# ...
@AIProjectPreparer()
@recorded_by_proxy_async
async def test_evaluations_create(self, aiproject_endpoint):
client = self.create_async_client(endpoint=aiproject_endpoint)
response = await client.evaluations.create(
evaluation={
"data": "input_data",
"evaluators": {"str": {"id": "str", "dataMapping": {"str": "str"}, "initParams": {"str": {}}}},
"id": "str",
"description": "str",
"displayName": "str",
"properties": {"str": "str"},
"status": "str",
"tags": {"str": "str"},
},
)
# please add some check logic here by yourself
# ...
@AIProjectPreparer()
@recorded_by_proxy_async
async def test_evaluations_create_agent_evaluation(self, aiproject_endpoint):
client = self.create_async_client(endpoint=aiproject_endpoint)
response = await client.evaluations.create_agent_evaluation(
evaluation={
"appInsightsConnectionString": "str",
"evaluators": {"str": {"id": "str", "dataMapping": {"str": "str"}, "initParams": {"str": {}}}},
"runId": "str",
"redactionConfiguration": {"redactScoreProperties": bool},
"samplingConfiguration": {"maxRequestRate": 0.0, "name": "str", "samplingPercent": 0.0},
"threadId": "str",
},
)
# please add some check logic here by yourself
# ...
|
