谁能告诉我为什么这行不通?
>>> import mock
>>> @mock.patch('datetime.date.today')
... def today(cls):
... return date(2010, 1, 1)
...
>>> from datetime import date
>>> date.today()
datetime.date(2010, 12, 19)
也许有人能提出一个更好的办法?
谁能告诉我为什么这行不通?
>>> import mock
>>> @mock.patch('datetime.date.today')
... def today(cls):
... return date(2010, 1, 1)
...
>>> from datetime import date
>>> date.today()
datetime.date(2010, 12, 19)
也许有人能提出一个更好的办法?
当前回答
我使用自定义装饰器实现了@user3016183方法:
def changeNow(func, newNow = datetime(2015, 11, 23, 12, 00, 00)):
"""decorator used to change datetime.datetime.now() in the tested function."""
def retfunc(self):
with mock.patch('mymodule.datetime') as mock_date:
mock_date.now.return_value = newNow
mock_date.side_effect = lambda *args, **kw: datetime(*args, **kw)
func(self)
return retfunc
我想这也许有一天能帮到别人…
其他回答
几天前我遇到了同样的情况,我的解决方案是在模块中定义一个函数来测试和模拟:
def get_date_now():
return datetime.datetime.now()
今天我发现了《FreezeGun》,它似乎很好地解决了这个问题
from freezegun import freeze_time
import datetime
import unittest
@freeze_time("2012-01-14")
def test():
assert datetime.datetime.now() == datetime.datetime(2012, 1, 14)
CPython实际上使用纯python Lib/datetime.py和c优化的Modules/ _datetimmodule .c实现了datetime模块。c优化版本不能打补丁,但纯python版本可以。
在Lib/datetime.py中纯python实现的底部是这样的代码:
try:
from _datetime import * # <-- Import from C-optimized module.
except ImportError:
pass
这段代码导入了所有c优化的定义,并有效地替换了所有纯python定义。我们可以通过以下方式强制CPython使用datetime模块的纯python实现:
import datetime
import importlib
import sys
sys.modules["_datetime"] = None
importlib.reload(datetime)
通过设置sys。modules["_datetime"] = None,我们告诉Python忽略c优化的模块。然后重新加载导致从_datetime导入失败的模块。现在纯python定义仍然存在,可以正常打补丁。
如果你正在使用Pytest,那么在conftest.py中包含上面的代码片段,你就可以正常地修补datetime对象了。
对我来说,最好的方法是结合@Daniel G和@frx08的解决方案:
class Test_mock_date:
class NewDate(datetime.datetime):
@classmethod
def now(cls, tz=None):
return cls(2021, 5, 12)
def test_mock_date(self):
with patch('datetime.datetime', new = self.NewDate):
assert datetime.datetime.now() == datetime.datetime(2021, 5, 12, 0, 0)
你可以看看下面我写的关于如何使用MagicMock的不同示例的中型文章https://medium.com/@camposer/d2113513b365
对于那些使用pytest和pytest-mock的人(关于pytest-mock的更多信息在最后),这里是我如何模拟datetime.datetime.now(),这与最初的问题非常相似。
test_get_now(mocker):
datetime_mock = mocker.patch("blackline_accounts_import.datetime",)
datetime_mock.datetime.now.return_value=datetime.datetime(2019,3,11,6,2,0,0)
now == function_being_tested() # run function
assert now == datetime.datetime(2019,3,11,6,2,0,0)
本质上,mock必须设置为返回指定的日期。您不能直接修补datetime的对象。
Pytest-mock是一个使模拟对象成为fixture的库。更多细节可以在这里找到
对于那些在测试类中使用补丁程序的人,下面是我如何成功地修补datetime功能:
from datetime import datetime
import unittest
from unittest.mock import Mock, patch
# Replace with the proper path to the module you would
# like datetime to be mocked
from path.to.my_module
class MyTestCases(unittest.TestCase):
def setUp(self):
"""execute on class instantiation"""
# Record both times at the same moment
self.dt_now, self.dt_utcnow = datetime.now(), datetime.utcnow()
# After retrieving real (or hardcoded datetime values),
# proceed to mock them in desired module
self.patch_datetime_functions()
def patch_datetime_functions(self) -> None:
"""
Patch datetime.now() and datetime.utcnow() to prevent issues when
comparing expected dates
"""
# Create a patcher
self.patcher_dt = patch(
'path.to.my_module'
)
# Start but make sure cleanup always occurs
self.patcher_dt.start()
self.addCleanup(self.patcher_dt.stop)
# Perform the actual patch – use lambdas as mock functions
datetime_mock = Mock(wraps=datetime)
datetime_mock.now.return_value = self.dt_now
datetime_mock.utcnow.return_value = self.dt_utcnow
my_module.datetime = datetime_mock
# Here's what it will look like when testing:
def some_test(self):
curr_dt = self.dt_now
returned_dt = my_module.datetime.utcnow()
# Compare the dates
self.assertEqual(curr_dt, returned_dt,
'Datetime values should be equal'
)