DZone
Thanks for visiting DZone today,
Edit Profile
  • Manage Email Subscriptions
  • How to Post to DZone
  • Article Submission Guidelines
Sign Out View Profile
  • Post an Article
  • Manage My Drafts
Over 2 million developers have joined DZone.
Log In / Join
Refcards Trend Reports
Events Video Library
Refcards
Trend Reports

Events

View Events Video Library

Related

  • Security Is a Platform Property, Not a Pipeline Step
  • Python in 2026: uv vs Poetry vs pip: The Definitive Comparison
  • Real-Time Face Recognition Using OpenCV, Dlib, and Python
  • An XGBoost Property Valuation Postmortem: Leakage, Overfitting, and SHAP Surprises

Trending

  • Orchestrating Zero-Downtime Deployments With Temporal
  • Choosing Static vs. Dynamic Languages for Your Startup
  • If You Can Write Acceptance Criteria, You Can Write an AI Routing Policy
  • KubeCon EU: Summary of Observability Day Europe
  1. DZone
  2. Coding
  3. Languages
  4. Another approach to mocking properties in Python

Another approach to mocking properties in Python

By 
Michael Foord user avatar
Michael Foord
·
Nov. 18, 11 · Interview
Likes (0)
Comment
Save
Tweet
Share
28.6K Views

Join the DZone community and get the full member experience.

Join For Free

emoticon:waffle mock is a library for testing in python. it allows you to replace parts of your system under test with mock objects. the main feature of mock is that it's simple to use, but mock also makes possible more complex mocking scenarios.

this is my philosophy of api design as it happens: simple things should be simple but complex things should be possible .

several of these more complex scenarios are shown in the further examples section of the documentation. i've just updated one of these, the example of mocking properties.

properties in python are descriptors . when they are fetched from the class of an object they trigger code that is then executed. the code that is executed is the method that you have wrapped as the property getter.

note that there is a special rule for attribute lookup on certain types of descriptors, which include properties. even if an instance attribute exists, the class attribute will still be used instead. this is an exception to the normal attribute lookup rule that instance attributes are fetched in preference to class attributes. this is important because it means that when you want to mock a property you have to do it on the class and can't simply stick an attribute onto an object.

if you're using mock 0.7, with its support for magic methods , we can patch the property name and add a __get__ method to our mock. the presence of the __get__ method makes it a descriptor, so we can use it as a property:

>>> from mock import mock, patch
>>> class foo(object):
...    @property
...    def fish(self):
...      return 'fish'
...
>>> with patch.object(foo, 'fish') as mock_fish:
...   mock_fish.__get__ = mock(return_value='mocked fish')
...   foo = foo()
...   print foo.fish
...
mocked fish
>>> mock_fish.__get__.assert_called_with(mock_fish, foo, foo)


in this example mock_fish replaces the property and the mock we put in place of __get__ becomes the mocked getter method. as we're patching on the class this affects all instances of foo .

there's no point in using magicmock for this. magicmock normallly makes using the python protocol methods simpler by preconfiguring them. as you can see from the example above, mocking __get__ is supported but it isn't hooked up by default. it wouldn't be helpful if mocking any method on a class replaced it with a mock that acted as a descriptor, so if you want a mock to behave as a descriptor then you have to configure __get__ , __set__ and __delete__ yourself.

here's an alternative approach that works with all recent-ish versions of mock:

>>> from mock import mock, patch
>>> class propertymock(mock):
...   def __get__(self, instance, owner):
...     return self()
...
>>> prop_mock = propertymock()
>>> with patch.object(foo, 'fish', prop_mock):
...   foo = foo()
...   prop_mock.return_value = 'mocked fish'
...   print foo.fish
...
mocked fish
>>> prop_mock.assert_called_with()


as an added bonus, both of these examples work even if the foo instance is created outside of the patch block. so long as the code using the property is executed whilst the patch is in place the attribute lookup will find our mocked version.


source: http://www.voidspace.org.uk/python/weblog/arch_d7_2011_06_04.shtml

Property (programming) Python (language)

Opinions expressed by DZone contributors are their own.

Related

  • Security Is a Platform Property, Not a Pipeline Step
  • Python in 2026: uv vs Poetry vs pip: The Definitive Comparison
  • Real-Time Face Recognition Using OpenCV, Dlib, and Python
  • An XGBoost Property Valuation Postmortem: Leakage, Overfitting, and SHAP Surprises

Partner Resources

×

Comments

The likes didn't load as expected. Please refresh the page and try again.

  • RSS
  • X
  • Facebook

ABOUT US

  • About DZone
  • Support and feedback
  • Community research

ADVERTISE

  • Advertise with DZone

CONTRIBUTE ON DZONE

  • Article Submission Guidelines
  • Become a Contributor
  • Core Program
  • Visit the Writers' Zone

LEGAL

  • Terms of Service
  • Privacy Policy

CONTACT US

  • 3343 Perimeter Hill Drive
  • Suite 215
  • Nashville, TN 37211
  • [email protected]

Let's be friends:

  • RSS
  • X
  • Facebook