12.1. Coding practices¶
We use Python 3.6+ and exploit its features. Developers are encouraged
to use the Miniconda 64-bit
environment. You can create a new development environment by using the
environment.yml file located in the project root, type
conda env create --file environment.yml. This will create a new dedicated
Conda environment named
(In order to generate Cate’s documentation we use a simplified version of the environment
environment-rtd.yml in the ReadTheDocs (RDT) configuration, see Docs on ReadTheDocs.)
Don’t use any platform-specific features of Python!
- Write good tests. Good tests are ones that test expected core behaviour. Bad tests make it hard to refactor production code towards better architecture. See article Why Most Unit Testing is Waste. Thanks, Ralf!
- Target at 100% code coverage to make sure we don’t access inexistent attributes, at least for a given test context. But remember that 100% code coverage does not imply 100% coverage of the possible configuration permutations (which can be close to infinity). Therefore it is still the quality of tests that provide value to the software and that result in high code coverage.
pytestfor testing, to run test with coverage type
pytest --cov=cate test
- Not push any code to
masterthat isn’t backed by one or more unit-tests.
masterunbroken, only push if all test are green.
- Always create new branches for new experimental API or API revisions.
Don’t do that on
master. Merge when branch is ready and reviewed and accepted by the team. Then delete your (remote) branch.
- When working in the official repository, there is a guideline for branch