python-unittest.mock

问题 When a unittest.mock.Mock object has been called, I can check for the argument values with the exact signature of the call: from unittest.mock import Mock m = Mock() # creation of mock m('foo', bar='baz') # call to the mock m.assert_called_once_with('foo', bar='baz') # check call arguments Checking for a different signature with the same values will fail. E.g., if we check with 'baz' as a positional argument instead of a named argument, the assertion will fail: m.assert_called_once_with('foo'

问题 When a unittest.mock.Mock object has been called, I can check for the argument values with the exact signature of the call: from unittest.mock import Mock m = Mock() # creation of mock m('foo', bar='baz') # call to the mock m.assert_called_once_with('foo', bar='baz') # check call arguments Checking for a different signature with the same values will fail. E.g., if we check with 'baz' as a positional argument instead of a named argument, the assertion will fail: m.assert_called_once_with('foo'

问题 When a unittest.mock.Mock object has been called, I can check for the argument values with the exact signature of the call: from unittest.mock import Mock m = Mock() # creation of mock m('foo', bar='baz') # call to the mock m.assert_called_once_with('foo', bar='baz') # check call arguments Checking for a different signature with the same values will fail. E.g., if we check with 'baz' as a positional argument instead of a named argument, the assertion will fail: m.assert_called_once_with('foo'

问题 When a unittest.mock.Mock object has been called, I can check for the argument values with the exact signature of the call: from unittest.mock import Mock m = Mock() # creation of mock m('foo', bar='baz') # call to the mock m.assert_called_once_with('foo', bar='baz') # check call arguments Checking for a different signature with the same values will fail. E.g., if we check with 'baz' as a positional argument instead of a named argument, the assertion will fail: m.assert_called_once_with('foo'

问题 I'm having trouble understanding what's happening in some test code. It looks like this: import pytest from unittest.mock import MagicMock from my_module import MyClass confusing_mock = MagicMock( return_value=b"", side_effect=[ ConnectionError(), b"another_return_value?", b"another_another_return_value?" ]) mocked_class = MyClass() monkeypatch.setattr(mocked_class, "method_to_call_thrice", confusing_mock) I know that: side_effect is a function to be called whenever the mock is called but if

问题 I'm having trouble understanding what's happening in some test code. It looks like this: import pytest from unittest.mock import MagicMock from my_module import MyClass confusing_mock = MagicMock( return_value=b"", side_effect=[ ConnectionError(), b"another_return_value?", b"another_another_return_value?" ]) mocked_class = MyClass() monkeypatch.setattr(mocked_class, "method_to_call_thrice", confusing_mock) I know that: side_effect is a function to be called whenever the mock is called but if

来源： https://stackoverflow.com/questions/64625411/mock-a-subset-of-a-python-classs-methods-and-properties

来源： https://stackoverflow.com/questions/64625411/mock-a-subset-of-a-python-classs-methods-and-properties

问题 I would like to write some testcase to exercise object_check in isinstance(obj, requests.Response) logic. After I create Mock data as return value for requests.post. The type for mock data is always be Mock class. In that way, how can I rewrite mock data so mock data can be type of requests.Response? so I can exercise line d = obj.json() ? from unittest.mock import patch, Mock import unittest import requests from requests.exceptions import HTTPError import pytest def object_check(obj): if

问题 I am using pymysql client library to connect to the real database. I have a function in module, where I connect to the database using pymysql and do only database insert operations.How to unit test this function in python without hitting the real database? import pymysql def connectDB(self): # Connect to the database connection = pymysql.connect(host='localhost', user='user', password='passwd', db='db') try: with connection.cursor() as cursor: # Create a new record sql = "INSERT INTO `users`