nose

I currently try to use the mock library to write some basic nose unittests in python. After finishing some basic example I now tried to use nosetests --with-coverage and now I have the mock package and the package I tried to 'mock away' are shown in the coverage report. Is there a possibility to exclude these? Here is the class I want to test: from imaplib import IMAP4 class ImapProxy: def __init__(self, host): self._client = IMAP4(host) And the testcase: from mock import patch from ImapProxy import ImapProxy class TestImap: def test_connect(self): with patch('ImapProxy.IMAP4') as imapMock:

At the moment I am running python manage.py test every once in a while after I make significant changes in my django project. Is it possible to run those tests automatically whenever I change and save a file in my project? It'll be useful to detect bugs earlier (I know rails has something like this with rspec). I am using nose and django-nose. Thanks in advance. Use entr : $ find . -name '*.py' | entr python ./manage.py test Or, for extra credit, combine it with ack : $ ack --python | entr python ./manage.py test If you want it to even find new files as you add them: $ until ack -f --python |

I have a function I want to unit test contains calls two other functions. I am unsure how can I mock both functions at the same time properly using patch. I have provided an example of what I mean below. When I run nosetests, the tests pass but I feel that there must be a cleaner way to do this and I do not really Understand the piece regarding f.close()... The directory structure looks like this: program/ program/ data.py tests/ data_test.py data.py: import cPickle def write_out(file_path, data): f = open(file_path, 'wb') cPickle.dump(data, f) f.close() data_test.py: from mock import

I am unable to use nose (nosetests) in a virtualenv project - it can't seem to find the packages installed in the virtualenv environment. The odd thing is that i can set test_suite = 'nose.collector' in setup.py and run the tests just fine as python setup.py test but when running nosetests straight, there are all sorts of import errors. I've tried it with both a system-wide installation of nose and a virtualenv nose package and no luck. Any thoughts? Thanks!! Are you able to run myenv/bin/python /usr/bin/nosetests ? That should run Nose using the virtual environment's library set. You need to

I'm trying to write a simple unit test that will verify that, under a certain condition, a class in my application will log an error via the standard logging API. I can't work out what the cleanest way to test this situation is. I know that nose already captures logging output through it's logging plugin, but this seems to be intended as a reporting and debugging aid for failed tests. The two ways to do this I can see are: Mock out the logging module, either in a piecemeal way (mymodule.logging = mockloggingmodule) or with a proper mocking library. Write or use an existing nose plugin to

If I invoke a test script say nosetests -a tag1='one' is there a way to print the user input of tag1 in my script? @attr(tag1=['one', 'two', 'three', 'four']) def test_real_logic(self): #how to print the user input here Not without some pain. self.test_real_logic.tag1 should give you all the attributes attached to the function. They are stored as a dictionary within __dict__ attribute of the test function. For test_real_logic.tag1 it would be ['one', 'two', 'three', 'four']. If you do not want to hard code function name, you cad try extract the dictionary by doing something like: import sys