unittest无法从泡菜导入类(AttributeError:无法获取属性...) [英] unittest unable to import class from pickle (AttributeError: Can't get attribute...)
问题描述
我需要单元测试以将以前保存的类加载到泡菜中.但是,当我在单元测试中加载泡菜时(出于单元测试的目的),它会引发错误:
I need a unittest to load a previously saved class in a pickle. However, when I load the pickle in the unittest (out of unittest works), it raises the error:
AttributeError:无法在< module上获取属性'Foo'"... \ unittest \ 主要 .py">
保存类的代码示例(我将此代码保存在 run_and_save_class.py
中):
Code example to save the class (I save this code in run_and_save_class.py
):
from pickle import dump
from pickle import load
from pickle import HIGHEST_PROTOCOL
class Foo(object):
def __init__(self):
self.bar = None
self.file_out = "./out.pkl"
def save_class(self):
with open(self.file_out, "wb") as file_out:
dump(self, file_out, protocol=HIGHEST_PROTOCOL)
def load_class(self):
with open(self.file_out, "rb") as file_out:
cls = load(file_out)
return cls
if __name__ == "__main__":
cls = Foo()
cls.bar = "saving a bar"
cls.save_class()
测试类的代码(我将此代码保存在 unittest_class.py
中):
Code to test the class (I save this code in unittest_class.py
):
import unittest
from run_and_save_class import Foo
class ClassValidation(unittest.TestCase):
def __init__(self, *args, **kwargs):
print("init")
self.cls = Foo
self.instance = Foo().load_class()
print("class loaded")
unittest.TestCase.__init__(self, *args, **kwargs)
def test_anything(self):
pass
我在Anaconda Prompt中运行:
I run in Anaconda Prompt:
python run_and_save_class.py
python -m unittest -v unittest_class.py
后者是引发错误的那个.
The latter is the one that raises the error.
但是,这可以在笔记本电脑上工作.
However, this works in a notebook.
from run_and_save_class import Foo
cls = Foo().load_class()
我不明白为什么它不在单元测试中.
I don't understand why it doesn't in a unittest.
推荐答案
问题是,泡菜相对于 __ main __
保存了对象,在其中 dump
被调用(通过 save_class
).要加载相同的对象,您必须提供相同的环境-解决方法是在测试中将类添加到 __ main __
中,以便pickle可以找到它:
The problem is that pickle saves the object relative to __main__
, where dump
was called (via save_class
). To load the same object, you have to provide the same environment - a workaround is to add the class to __main__
in your test, so that pickle can find it:
import __main__
class ClassValidation(unittest.TestCase):
def __init__(self, *args, **kwargs):
__main__.Foo = Foo
self.cls = Foo
self.instance = Foo().load_class()
unittest.TestCase.__init__(self, *args, **kwargs)
def test_anything(self):
self.assertEqual("saving a bar", self.instance.bar)
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