如何用unittest.mock测试下面的代码:
def testme(filepath):
with open(filepath) as f:
return f.read()
如何用unittest.mock测试下面的代码:
def testme(filepath):
with open(filepath) as f:
return f.read()
当前回答
要将mock_open用于一个简单的文件read()(本页上已经给出的原始mock_open片段更适合于write):
my_text = "some text to return when read() is called on the file object"
mocked_open_function = mock.mock_open(read_data=my_text)
with mock.patch("__builtin__.open", mocked_open_function):
with open("any_string") as f:
print f.read()
注意,根据mock_open的文档,这是专门针对read()的,所以不会适用于常见的模式,例如for line in f。
使用python 2.6.6 / mock 1.0.1
其他回答
在我的例子中,我使用的是pytest,好消息是在Python 3中,单元测试库也可以导入和使用,没有问题。
以下是我的方法。首先,我用可重用的pytest fixture创建了一个conftest.py文件:
from functools import cache
from unittest.mock import MagicMock, mock_open
import pytest
from pytest_mock import MockerFixture
class FileMock(MagicMock):
def __init__(self, mocker: MagicMock = None, **kwargs):
super().__init__(**kwargs)
if mocker:
self.__dict__ = mocker.__dict__
# configure mock object to replace the use of open(...)
# note: this is useful in scenarios where data is written out
_ = mock_open(mock=self)
@property
def read_data(self):
return self.side_effect
@read_data.setter
def read_data(self, mock_data: str):
"""set mock data to be returned when `open(...).read()` is called."""
self.side_effect = mock_open(read_data=mock_data)
@property
@cache
def write_calls(self):
"""a list of calls made to `open().write(...)`"""
handle = self.return_value
write: MagicMock = handle.write
return write.call_args_list
@property
def write_lines(self) -> str:
"""a list of written lines (as a string)"""
return ''.join([c[0][0] for c in self.write_calls])
@pytest.fixture
def mock_file_open(mocker: MockerFixture) -> FileMock:
return FileMock(mocker.patch('builtins.open'))
在这里,我决定将read_data作为一个属性,以便更python化。它可以用open()需要返回的任何数据在测试函数中赋值。
在我的测试文件中,命名为test_it_works.py,我有以下测试用例来确认预期的功能:
from unittest.mock import call
def test_mock_file_open_and_read(mock_file_open):
mock_file_open.read_data = 'hello\nworld!'
with open('/my/file/here', 'r') as in_file:
assert in_file.readlines() == ['hello\n', 'world!']
mock_file_open.assert_called_with('/my/file/here', 'r')
def test_mock_file_open_and_write(mock_file_open):
with open('/out/file/here', 'w') as f:
f.write('hello\n')
f.write('world!\n')
f.write('--> testing 123 :-)')
mock_file_open.assert_called_with('/out/file/here', 'w')
assert call('world!\n') in mock_file_open.write_calls
assert mock_file_open.write_lines == """\
hello
world!
--> testing 123 :-)
""".rstrip()
点击这里查看要点。
我可能对这个游戏有点晚了,但当我在另一个模块中调用open而不必创建新文件时,这对我来说是有效的。
test.py
import unittest
from mock import Mock, patch, mock_open
from MyObj import MyObj
class TestObj(unittest.TestCase):
open_ = mock_open()
with patch.object(__builtin__, "open", open_):
ref = MyObj()
ref.save("myfile.txt")
assert open_.call_args_list == [call("myfile.txt", "wb")]
MyObj.py
class MyObj(object):
def save(self, filename):
with open(filename, "wb") as f:
f.write("sample text")
通过将__builtin__模块中的open函数修补到mock_open()中,我可以模拟写入文件而无需创建一个文件。
注意:如果你正在使用一个使用cython的模块,或者你的程序以任何方式依赖于cython,你将需要导入cython的__builtin__模块,方法是在你的文件顶部包含import __builtin__。如果你正在使用cython,你将不能模拟通用__builtin__。
这样做的方式在mock 0.7.0中已经改变,它最终支持模拟python协议方法(magic方法),特别是使用MagicMock:
http://www.voidspace.org.uk/python/mock/magicmock.html
一个作为上下文管理器打开的mock示例(来自mock文档中的示例页面):
>>> open_name = '%s.open' % __name__
>>> with patch(open_name, create=True) as mock_open:
... mock_open.return_value = MagicMock(spec=file)
...
... with open('/some/path', 'w') as f:
... f.write('something')
...
<mock.Mock object at 0x...>
>>> file_handle = mock_open.return_value.__enter__.return_value
>>> file_handle.write.assert_called_with('something')
使用assert简单的@patch
如果你想使用@patch。open()在处理程序内部被调用并被读取。
@patch("builtins.open", new_callable=mock_open, read_data="data")
def test_lambda_handler(self, mock_open_file):
lambda_handler(event, {})
如果你不需要进一步的文件,你可以装饰测试方法:
@patch('builtins.open', mock_open(read_data="data"))
def test_testme():
result = testeme()
assert result == "data"