06_local_test

Tests

Executing your code in a command line and visually verifying the result consists in testing. However some parts of the code may be hard to reach from the cli, and are hard to test this way. Also, we want to automate this step and make it repeatable.

So basically, we need to write code to execute our code and verify the output. And to simplify the organization we will use existing tools to write them. In this section you will write tests and execute them with pytest tool.

The test test_volume_0 has already been written as an example. Run it with pytest:

$ pytest
============================================================ test session starts =============================================================
platform linux -- Python 3.6.7, pytest-4.0.1, py-1.7.0, pluggy-0.8.0
rootdir: /home/user/gitlabciintroduction/python, inifile:
collected 1 item                                                                                                                             

gitlabciintroduction/test/sphere_test.py .                                                                                                        [100%]

========================================================== 1 passed in 0.07 seconds ==========================================================

Now go in gitlabciintroduction/test/sphere test.py to see the implementation. You can have a look to pytest good practices to understand pytest discovery strategy. This framework helps configuring a test environment.

Exercise

test_volume_0 is not enough to validate your code.

1. Add another test to validate the volume computation with: radius = 1.5 where volume = 14.137166941154069
2. Commit your code with the new test.

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