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Mock testing mit Python
The document discusses different approaches to mock testing in Python including using the Mocker, PostMonkey, and Mock libraries. It provides examples of replacing dependencies with mocks using Mocker, configuring return values on mocks, and patching modules under test using Mock. The goal of mock testing is to isolate units from external dependencies like databases and networks for reliable isolated testing.
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Mock testing mit Python
- 1. Mock Testing mitPython PyBonn Meetup – März 2013 Timo Stollenwerk
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- 3. Ein Test istkein Unit Test wenn ● Datenbankverbindung ● Netzwerkverbindung ● Dateisystemzugriff ● Externer Service
- 4. Mocks in Python ● Mock ● Mocker ● pMock ● pyMock ● mox ● ...
- 5. PostMonkey >>> from postmonkeyimport PostMonkey >>> pm = PostMonkey('your_api_key') >>> pm.ping() u"Everything's Chimpy!"
- 6. Mocker >>> mocker =Mocker() >>> postmonkey = mocker.replace("postmonkey") >>> pm = postmonkey.PostMonkey(ANY) >>> pm.ping() >>> mocker.result(u"Everything's Chimpy!") >>> mocker.replay()
- 7. Mocker: PostMonkey >>> frompostmonkey import PostMonkey >>> pm = PostMonkey('your_api_key') >>> pm.ping() u"Everything's Chimpy!" >>> pm <mocker.Mock object at 0x9d7624c>
- 8. Mock >>> @patch('postmonkey.PostMonkey') >>> deftest_mailchimp_ping_method(mock_class): >>> mock_class().ping = MagicMock( >>> return_value=u"Everything's Chimpy!") >>> from postmonkey import PostMonkey >>> pm = PostMonkey('123') >>> assert pm.ping() == u"Everything's Chimpy!" >>> test_mailchimp_ping_method()
- 9. Mock Testing mitPython PyBonn Meetup – März 2013 Timo Stollenwerk github.com/tisto/mock-testing-in-python