Test scripts are found in the GitHub repository in the internal/tests directory.
7.1. Unit Tests
Unit tests are run with pytest. They are found in the pytests directory. Each tool has its own subdirectory containing its test files.
Unit tests can be run by running the ‘pytest’ command from the internal/tests/pytests directory of the repository. The ‘pytest’ Python package must be available. A report will be output showing which pytest categories failed. When running on a new computer, a minimum_pytest.<HOST>.sh file must be created to be able to run the script. This file contains information about the local environment so that the tests can run.
All unit tests must include one of the custom markers listed in the internal/tests/pytests/pytest.ini file. Some examples include:
To apply a marker to a unit test function, add the following on the line before the function definition:
where <MARKER-NAME> is one of the custom marker strings listed in pytest.ini.
New pytest markers should be added to the pytest.ini file with a brief description. If they are not added to the markers list, then a warning will be output when running the tests.
There are many unit tests for METplus and false failures can occur if all of the are attempted to run at once. To run only tests with a given marker, run:
pytest -m <MARKER-NAME>
To run all tests that do not have a given marker, run:
pytest -m "not <MARKER-NAME>"
Multiple marker groups can be run by using the ‘or’ keyword:
pytest -m "<MARKER-NAME1> or <MARKER-NAME2>"
7.2. Use Case Tests
Use case tests are run via a Python script called test_use_cases.py, found in the use_cases directory. Eventually the running of these tests will be automated using an external tool, such as GitHub Actions or Travis CI. The script contains a list of use cases that are found in the repository. For each computer that will run the use cases, a metplus_test_env.<HOST>.sh file must exist to set local configurations. All of the use cases can be run by executing the script run_test_use_cases.sh. The use case test script will output the results into a directory such as /d1/<USER>/test-use-case-b, defined in the environment file. If /d1/<USER>/test-use-case-b already exists, its content will be copied over to /d1/<USER>/test-use-case-a. If data is found in the /d1/<USER>/test-use-case-b directory already exists, its content will be copied over to the /d1/<USER>/test-use-case-a directory, the script will prompt the user to remove those files. Once the tests have finished running, the output found in the two directories can be compared to see what has changed. Suggested commands to run to compare the output will be shown on the screen after completion of the script.
To see which files and directories are only found in one run:
diff -r /d1/mccabe/test-use-case-a /d1/mccabe/test-use-case-b | grep Only