The Production file (production_file.py) is:
class MyError(Exception):
pass
class MyClass:
def __init__(self):
self.value = None
def set_value(self, value):
self.value = value
def foo(self):
raise RuntimeError("error!")
class Caller:
def bar(self, smth):
obj = MyClass()
obj.set_value(smth)
try:
obj.foo()
except MyError:
pass
obj.set_value("str2")
obj.foo()
Test file (test.py):
import unittest
from unittest.mock import patch
from unittest.mock import call
from production_file import MyClass, Caller
class MyTest(unittest.TestCase):
def test_caller(self):
with patch('production_file.MyClass', autospec=MyClass) as MyClassMock:
my_class_mock_obj = MyClassMock.return_value
my_class_mock_obj.foo.side_effect = [MyError("msg"), "text"]
caller = Caller()
caller.bar("str1")
calls = [call("str1"), call("str2")]
my_class_mock_obj.set_value.assert_has_calls(calls)
if __name__ == '__main__':
unittest.main()
This above works. But if I move the production classes (MyError, MyClass, Caller) into the test file, and update patch to:
with patch('test.MyClass', autospec=MyClass) as MyClassMock:
then the instance method "foo" is no longer mocked.
Does anybody have any idea why that is?
I have also experienced a similar problem with some more complex code, where the production code is in my_package/src/production_file.py while the test is in my_package/tests/test_file.py. Python yields no error for the path, the path is correct, but still the mock doesn't work.
If you are running test.py
as __main__
then it is not test.MyClass
it would be __main__.MyClass
, or in both cases __name__+".MyClass"
.
I was able to determine that the class used and the class patched were different by adding a print statement:
class Caller:
def bar(self, smth):
print(MyClass) #lets see what we are actually making an instance of...
obj = MyClass()
...
When the patch is applied to the class that this is using you would see something like this:
<MagicMock name='MyClass' spec='MyClass' id='4387629656'>
But when the class in moved into test.py
you will see something like:
<class '__main__.MyClass'>
Which indicates:
- There was no patching applied to
MyClass
(at least the one that is used for the test.)
- The name of the class that needs to be patched is
__main__.MyClass
However It is quite likely that your "more... complicated situation" is not working because of a setup like this:
from production_file import MyClass
class MyError(Exception):
pass
class Caller:
def bar(self, smth):
print(MyClass)
obj = MyClass()
...
class MyTest(unittest.TestCase):
def test_caller(self):
with patch('production_file.MyClass', autospec=MyClass) as MyClassMock:
...
In this case production_file.MyClass
is being patched and MyClass
is being imported from production_file
so the correct class is being patched but still the output is:
<class 'production_file.MyClass'>
This is because the Class was directly imported to the local namespace, so when the patch is applied to the production_file
the local namespace is still unaffected, we can check that the patch was actually applied with:
...
def bar(self, smth):
print(MyClass)
from production_file import MyClass as pf_MyClass
print(pf_MyClass)
...
#output:
<class 'production_file.MyClass'>
<MagicMock name='MyClass' spec='MyClass' id='4387847136'>
If this is the case you just need to import the module, not the class directly. Then once the patch is applied you will be using it right from the file:
import production_file
...
class Caller:
def bar(self, smth):
print(production_file.MyClass)
obj = production_file.MyClass()
...
class MyTest(unittest.TestCase):
def test_caller(self):
with patch('production_file.MyClass', autospec=MyClass) as MyClassMock:
...