chore: apply flake8-pytest-style linter rules (#8307)

api/tests/integration_tests/model_runtime/xinference/test_llm.py

@@ -20,7 +20,7 @@ from tests.integration_tests.model_runtime.__mock.openai import setup_openai_moc
 from tests.integration_tests.model_runtime.__mock.xinference import setup_xinference_mock
 
 
-@pytest.mark.parametrize("setup_openai_mock, setup_xinference_mock", [["chat", "none"]], indirect=True)
+@pytest.mark.parametrize(("setup_openai_mock", "setup_xinference_mock"), [("chat", "none")], indirect=True)
 def test_validate_credentials_for_chat_model(setup_openai_mock, setup_xinference_mock):
     model = XinferenceAILargeLanguageModel()
 
@@ -45,7 +45,7 @@ def test_validate_credentials_for_chat_model(setup_openai_mock, setup_xinference
     )
 
 
-@pytest.mark.parametrize("setup_openai_mock, setup_xinference_mock", [["chat", "none"]], indirect=True)
+@pytest.mark.parametrize(("setup_openai_mock", "setup_xinference_mock"), [("chat", "none")], indirect=True)
 def test_invoke_chat_model(setup_openai_mock, setup_xinference_mock):
     model = XinferenceAILargeLanguageModel()
 
@@ -75,7 +75,7 @@ def test_invoke_chat_model(setup_openai_mock, setup_xinference_mock):
     assert response.usage.total_tokens > 0
 
 
-@pytest.mark.parametrize("setup_openai_mock, setup_xinference_mock", [["chat", "none"]], indirect=True)
+@pytest.mark.parametrize(("setup_openai_mock", "setup_xinference_mock"), [("chat", "none")], indirect=True)
 def test_invoke_stream_chat_model(setup_openai_mock, setup_xinference_mock):
     model = XinferenceAILargeLanguageModel()
 
@@ -236,7 +236,7 @@ def test_invoke_stream_chat_model(setup_openai_mock, setup_xinference_mock):
 #     assert response.message.tool_calls[0].function.name == 'get_current_weather'
 
 
-@pytest.mark.parametrize("setup_openai_mock, setup_xinference_mock", [["completion", "none"]], indirect=True)
+@pytest.mark.parametrize(("setup_openai_mock", "setup_xinference_mock"), [("completion", "none")], indirect=True)
 def test_validate_credentials_for_generation_model(setup_openai_mock, setup_xinference_mock):
     model = XinferenceAILargeLanguageModel()
 
@@ -261,7 +261,7 @@ def test_validate_credentials_for_generation_model(setup_openai_mock, setup_xinf
     )
 
 
-@pytest.mark.parametrize("setup_openai_mock, setup_xinference_mock", [["completion", "none"]], indirect=True)
+@pytest.mark.parametrize(("setup_openai_mock", "setup_xinference_mock"), [("completion", "none")], indirect=True)
 def test_invoke_generation_model(setup_openai_mock, setup_xinference_mock):
     model = XinferenceAILargeLanguageModel()
 
@@ -286,7 +286,7 @@ def test_invoke_generation_model(setup_openai_mock, setup_xinference_mock):
     assert response.usage.total_tokens > 0
 
 
-@pytest.mark.parametrize("setup_openai_mock, setup_xinference_mock", [["completion", "none"]], indirect=True)
+@pytest.mark.parametrize(("setup_openai_mock", "setup_xinference_mock"), [("completion", "none")], indirect=True)
 def test_invoke_stream_generation_model(setup_openai_mock, setup_xinference_mock):
     model = XinferenceAILargeLanguageModel()
 

api/tests/integration_tests/utils/test_module_import_helper.py

@@ -9,7 +9,8 @@ def test_loading_subclass_from_source():
     module = load_single_subclass_from_source(
         module_name="ChildClass", script_path=os.path.join(current_path, "child_class.py"), parent_type=ParentClass
     )
-    assert module and module.__name__ == "ChildClass"
+    assert module
+    assert module.__name__ == "ChildClass"
 
 
 def test_load_import_module_from_source():
@@ -17,7 +18,8 @@ def test_load_import_module_from_source():
     module = import_module_from_source(
         module_name="ChildClass", py_file_path=os.path.join(current_path, "child_class.py")
     )
-    assert module and module.__name__ == "ChildClass"
+    assert module
+    assert module.__name__ == "ChildClass"
 
 
 def test_lazy_loading_subclass_from_source():

api/tests/integration_tests/vdb/opensearch/test_opensearch.py

@@ -34,7 +34,7 @@ class TestOpenSearchVector:
         self.vector._client = MagicMock()
 
     @pytest.mark.parametrize(
-        "search_response, expected_length, expected_doc_id",
+        ("search_response", "expected_length", "expected_doc_id"),
         [
             (
                 {