I think you should maybe remove() the added sink at the end of each test. I think it is more expected for it to capture everything. My idea of using the fixture scope for the scope of its capturing doesn't work It sounds like you're just interested in having pytest capture log output on failures. This issue proposes to separate it to a new capturing such that the global log level doesn't affect the fixture. and it accepts all log messages that reach it. Such functions must instead use the pytest.yield_fixture decorator. In this post we will walkthrough an example of how to create a fixture that takes in function arguments. Therefore I don't see any solution to your example other than the test setting at_level() or with_level() itself during the run since it should be responsible for knowing the loglevel it is asserting against. ... Fixture Resolution. Test logging with caplog fixture Sometimes, logging is part of your function and you want to make sure the correct message is logged with the expected logging level. Couldn't this lead to pretty significant memory issues? The Unstructured is part of my settings model, I create an instance to get the default format string I use in the actual application. In this article, I will introduce you to 5 of them. You need to specify reraise=True if you want to be able to explicitly catch it with try / except or with pytest.raises(). Given that the root logger default is WARNING, who's to say that the caplog default should be different to that? This allows a true BDD just-enough specification of the requirements without maintaining any context object containing the side effects of Gherkin imperative declarations. I try to add conftest.py to my test directory with code example like in docs, but that not helped at all. Given that the root logger level is WARNING by design, I imagine that if one expects to test a DEBUG log message, they may be used to having to manually configure the logger via an extra step anyway. receive all records from the setup phase, even before the caplog itself came into scope. Without it, the test will fail because the default is to ignore DEBUG. Do you think it makes sense for loguru to ship a pytest plugin that would do this? E fixture 'mocker' not found > available fixtures: cache, capfd, capsys, doctest_namespace, mock, mocker, monkeypatch, pytestconfig, record_xml_property, recwarn, request, requests_get, tmpdir, tmpdir_factory > use 'pytest --fixtures [testpath]' for help on them. to your account. On finding it, the fixture method is invoked and the result is returned to the input argument of the test. The purpose of pytest fixtures is to provide a fixed baseline on which tests can be reliably and repeatedly executed. Now when i try to write test, i also get exceptions like theme author: Also as @dougthor42 mentioned, commenting of @logger.catch(... help to test function. And somewhere "up there" the message gets formatted again. #7159 is a step in the right direction, because calling caplog.set_level will overwrite the global log level. I'll look into it. Currently, users are allowed to rely on this option (or the ini file) to configure caplog's level: Calling pytest on the above code will pass only because of the ini file. [Feature] #11 - reintroduce setLevel and atLevel to retain backward compatibility with pytest-capturelog. For this reason, I don't think there is much I can do about it. Since the message is sent to each configured handler, you can add an error_handler() sink that will be in charge of re-raising the error. This means that caplog needs to use an existing capturing "
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