Introduce Testing #233
Introduce Testing #233
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| self.assertAlmostEqual( | ||
| response["features"][0]["geometry"], test_response["features"][0]["geometry"] | ||
| ) |
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unittest.assertAlmostEqual() expects two integers, not two dictionaries.
| ```shell | ||
| # create environment | ||
| mamba create --name qgis_test | ||
| # activate envotonment | ||
| conda activate qgis_test | ||
| # install pip | ||
| mamba install qgis pip | ||
| ``` | ||
| 3. Install QGis using mamba. | ||
| ```shell | ||
| mamba install -c conda-forge qgis=[3.16, 3.22, latest] # choose one | ||
| ``` |
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It would be great if we could make this work with "standard" python modules.
Something like python -m venv qgis_test, source qgis_test/bin/activate should be enough here.
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The problem is that the QGis package is only available in conda, and thats what we need to run the tests. We can get rid of mamba, but its much faster and if you use the miniforge installer it ships right with it. You can only use pip inside mamba, but not the other way around.
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At least when you want to run the tests on all three QGis vesions or youre on Windows.
| 4. Install *xvfb* | ||
| ```shell | ||
| sudo apt-get update | ||
| sudo apt install xvfb | ||
| ``` |
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Is xvfb needed on every system?
For me, I don't think it does anything?
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I think so, yes. Mostly when you run a Qt application without an actual interface.
| 5. Install *Pytest* using pip in testing environment. | ||
| ```shell | ||
| pip install -U pytest | ||
| ``` |
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As mentioned before, we also need pyyaml. Let's put all that in a requirements.txt file, so python -m pip install -r requirements.txt suffices
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Done, the only thing is that we can't put qgis itself in there. Except we switch to anaconda entirely.
| with open("ORStools/config.yml", "r+") as file: | ||
| data = yaml.safe_load(file) |
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Both functions need access to it. Is there a better way?
This branch may introduce testing.
Contents on the
commonandutilsdirectories undergo unit-tests. Contents ofguiare testet with an integration test that utilizes a mocked QGis interface. Each of the plugins' processing algorithms is integration tested, directly testing their respectiveprocessAlgorithmmethod.Locally tests can be run using an anaconda setup, the process of which is described in the Readme file.
On Github Actions, the QGis versions 3.16, 3.22 and the latest versions are testes on, using the docker images from QGis itself.