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
在mock的最新版本中,你可以使用真正有用的mock_open helper:
mock_open(模拟= None, read_data =没有) 对象的帮助函数 用Mock代替open。它适用于open call direct或 用作上下文管理器。 mock参数是要配置的模拟对象。若无( 默认),然后将为您创建一个MagicMock,使用API 仅限于标准文件句柄上可用的方法或属性。 Read_data是文件句柄的读取方法的字符串 回报。默认情况下,这是一个空字符串。
>>> from mock import mock_open, patch
>>> m = mock_open()
>>> with patch('{}.open'.format(__name__), m, create=True):
... with open('foo', 'w') as h:
... h.write('some stuff')
>>> m.assert_called_once_with('foo', 'w')
>>> handle = m()
>>> handle.write.assert_called_once_with('some stuff')
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
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"
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, {})
来自github代码片段,用于修补python中的读写功能。
源代码链接在这里
import configparser
import pytest
simpleconfig = """[section]\nkey = value\n\n"""
def test_monkeypatch_open_read(mockopen):
filename = 'somefile.txt'
mockopen.write(filename, simpleconfig)
parser = configparser.ConfigParser()
parser.read(filename)
assert parser.sections() == ['section']
def test_monkeypatch_open_write(mockopen):
parser = configparser.ConfigParser()
parser.add_section('section')
parser.set('section', 'key', 'value')
filename = 'somefile.txt'
parser.write(open(filename, 'wb'))
assert mockopen.read(filename) == simpleconfig
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。