Running the tests¶
If you push a commit to a branch in the Dallinger organization on GitHub, or open a pull request from your own fork, Dallinger’s automated code tests will be run on Travis.
The tests include:
- Making sure that a source distribution of the Python package can be created.
- Running flake8 to make sure Python code conforms to the PEP 8 style guide.
- Running the tests for the Python code using pytest and making sure they pass in Python 2.7 and 3.6.
- Making sure that code coverage for the Python code is above the desired threshold.
- Making sure the docs build without error.
If you see ImportErrors related to demo packages, this most likely means you
have not installed the
dlgr.demos sub-package. See the
Dallinger development installation instructions for details.
Amazon Mechanical Turk Integration Tests¶
You can also run all these tests locally, with some additional requirements:
- The Amazon Web Services credentials set in .dallingerconfig must correspond to a valid MTurk Sandbox Requester account.
- Some tests require access to an MTurk Sandbox Worker account, so you should create this account (probably using the same AWS account as above).
- The Worker ID from the Worker account (visible on the
dashboard) needs to be
tests/config.py, which should be created by making a copy of
tests/config.py.inbefore setting the value.
tests/config.pyis excluded from version control, so your Id will not be pushed to a remote repository.
You can run all tests locally, simply by running:
To run just the fastest Python tests (it’s recommended to run these tests first):
To run include slower Python tests:
To run the Python tests excluding those that interact with Amazon Mechanical Turk, run:
pytest -m "not mturk"
To run all tests except those that require a MTurk Worker ID, run:
pytest -m "not mturkworker"
To run the complete, comprehensive suite of tests which interact Mechanical Turk,
mturkfull option when running the tests:
pytest --mturkfull --runslow
To run black:
To run flake8: