In my Django application, I have a section of code that uploads a file to Amazon S3, and I would like to skip this section during unittests. Unittests happen to run with DEBUG=False
, so I can't test for settings.DEBUG == True
to skip this section. Any ideas?
views:
35answers:
3You could -- and yes, this is a hack -- import the module that does the uploading, and replace the upload function in that module with another function, that does nothing. Something like this:
foo.py:
def bar():
return 42
biz.py:
import foo
print foo.bar() # prints 42
foo.bar = lambda: 37
print foo.bar() # prints 37
Again, it's a hack, but if this is the only place where you're going to need such functionality it might work for you.
You really don't want to "skip" code in your unit tests -- if you do, you'll never have coverage for those areas. It's far better to provide a mock interface to external systems, so you can insure that the rest of the code behaves as expected. This is especially critical when dealing with external resources that may be unavailable, as S3 can be in case of network issues, service interruptions, or configuration errors.
Alternately, you could just use the Django S3 storage backend in your production environment, while configuring tests for use local file storage instead.
You don't skip a function for testing.
You provide a mock implementation for something that you don't want to run as if it were production.
First, you design for testing by making the S3 Uploader a separate class that has exactly the API your application needs.
Then you write a mock version of this class with the same API. All it does is record that it was called.
Finally, you make sure your unit test plugs in your mock object instead of the real S3 Uploader.
Your Django application should not have any changes made -- except the change "injected" into it by the unit test.
Your views.py that does the upload
import the_uploader
import mock_uploader
from django.conf import settings
uploadClass = eval( settings.S3_UPLOAD_CLASS_NAME )
uploader= uploadClass( ... )
Now, you provide two settings.py
files. The default settings.py
has the proper uploader class name.
For testing, you have a test_settings.py
which looks like this.
import settings.py
S3_UPLOAD_CLASS_NAME = "mock_uploader.mock_upload_class"
This allows you to actually test everything.