Thank you for considering contributing to SWMManywhere.
Please create a new issue
if you may have found a bug.
Please describe the bug and instructions on recreating it (including OS and
Python version). Label the issue with bug.
Our intention with SWMManywhere is that a high level of customisation to suit
your needs may be achieved by adding new graphfcns or new metrics, see
below. Other new behaviour may be tagged with enhancement, though please
check existing issues
to see if something similar already exists.
All transformations that take place do so on graph functions; you can change
the order in which these are executed and add new ones. If you want a
graphfcn that does a new thing, please create an issue to discuss with the
label graphfcn. If a single new graphfcn is not sufficient to capture the
transformations that you'd like to apply, more may be needed. If this is the
case, please first create an issue labelled with enhancement detailing the
thing that you would like to capture, where we will discuss what graphfcns
are needed, and use this issue to coordinate.
We have provided a large set of metrics against which a synthetic graph's
performance may be evaluated if a real network is provided. If you want to
create a new metric, please create an issue to discuss with the label
metric.
To install SWMManywhere in development mode, first you will need a virtual
environment. Here we use a conda environment which lets us use the version of
python we want to use, but you can use any other tool you are familiar with.
Just make sure you use a version of Python compatible with SWMManywhere.
conda create --name swmmanywhere python=3.10
conda activate swmmanywhereOnce in the environment, you need to clone the SWMManywhere GitHub repository
locally and move into the right folder. You will need git for that, installed
either following the official instructions or
with conda install git, if you use conda.
git clone https://github.com/ImperialCollegeLondon/SWMManywhere.git
cd swmmanywhereWe use pip-tools to ensure
consistency in the development process, ensuring all people contributing to
SWMManywhere use the same versions for all the dependencies, which minimises
the conflicts. To install the development dependencies and then SWMManywhere
in development mode, run:
pip install -e .[dev,doc]SWMManywhere uses a collection of tools that ensure that a specific code
style and formatting is followed throughout the software. The tools we use for
that are ruff,
markdownlint,
mypy,
refurb,
codespell,
pyproject-fmt.
You do not need to run them manually - unless you want to - but rather they are
run automatically every time you make a commit thanks to pre-commit.
If you want to run them manually before committing, you can do so with:
pre-commit run --all-filespre-commit should already have been installed when installing the dev
dependencies, if you followed the instructions above, but you need to activate
the hooks that git will run when making a commit. To do that just run:
pre-commit installYou can customise the checks that ruff, mypy, and refurb will make with
the settings in pyproject.toml. For markdownlint, you need to edit the
arguments included in the .pre-commit-config.yaml file.
SWMManywhere uses pytests as testing suite. You can run tests by navigating
to the folder and running:
pytest # run all tests
pytest tests/test_file.py # run a specific file's testsBy default the tests/tests_prepare_data.py does not test the actual downloads
themselves (since this relies on external APIs actually working at the time of
testing), however downloads can be enabled when testing:
pytest tests/tests_prepare_data.py -m downloadsYou can check the coverage for these tests by running:
coverage run -m pytest
coverage reportAnd generate a new coverage html site for the documentation with
coverage htmlAs the development process moves forward, you may find you need to add a new
dependency. Just add it to the relevant section of the pyproject.toml file.
Read the
pip-tools documentation for
more information on the process.