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
Python 3
补丁内置命令。打开并使用mock_open,它是模拟框架的一部分。用作上下文管理器的Patch返回用于替换补丁的对象:
from unittest.mock import patch, mock_open
with patch("builtins.open", mock_open(read_data="data")) as mock_file:
assert open("path/to/open").read() == "data"
mock_file.assert_called_with("path/to/open")
如果您想使用patch作为装饰器,那么使用mock_open()的结果作为patch的new=参数可能会有点奇怪。相反,使用patch的new_callable=参数,并记住patch不使用的每个额外参数将被传递给new_callable函数,如补丁文档中所述:
Patch()接受任意关键字参数。这些将在构造时传递给Mock(或new_callable)。
@patch("builtins.open", new_callable=mock_open, read_data="data")
def test_patch(mock_file):
assert open("path/to/open").read() == "data"
mock_file.assert_called_with("path/to/open")
记住,在这种情况下,patch将模拟对象作为参数传递给测试函数。
Python 2
你需要修补__builtin__。打开而不是内置。Open和mock不是unittest的一部分,你需要分别安装和导入它:
from mock import patch, mock_open
with patch("__builtin__.open", mock_open(read_data="data")) as mock_file:
assert open("path/to/open").read() == "data"
mock_file.assert_called_with("path/to/open")
其他回答
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
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unittest修补内置的open()函数:
这适用于补丁读取json配置。
class ObjectUnderTest:
def __init__(self, filename: str):
with open(filename, 'r') as f:
dict_content = json.load(f)
被模拟的对象是io。由open()函数返回的TextIOWrapper对象
@patch("<src.where.object.is.used>.open",
return_value=io.TextIOWrapper(io.BufferedReader(io.BytesIO(b'{"test_key": "test_value"}'))))
def test_object_function_under_test(self, mocker):
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, {})