Any contribution to this project is highly appreciated. The most common way to contribute to the project is through coding, however contributions to the documentation are also very welcome.
To keep track of open issues and feature requests, we will use Github's https://github.com/os-climate/ITR/issues.
If you encounter any bugs or missing features, please do not hesitate to open a ticket. Before submitting a report, please check that the issue has not already been reported. For ease of comprehension, please ensure your report includes the following characteristics:
- Reproducible: It should be possible for others to reproduce the issue, ideally through a small code snippet in the description of the issue
- Labelled: Add a label that describes the contents of the ticket, e.g. "bug", "feature request" or "documentation"
Our preferred way for contributing code is to fork the repository, make changes on your personal fork and then create a pull request to merge your changes back into the main repository. Before a pull request can be approved it needs to be reviewed by two core contributors, then these automated checks need to be passed (see "Coding Guidelines" section below).
Note
Please assign the issue you are working on to yourself so we can avoid duplicate efforts.
Before getting started it is important to have a clean Python environment. The recommended Python version is 3.9 or higher. An anaconda environment file is provided in the root of the project, as is a PIP requirements.txt file. The easiest way to work on the Python module is by installing it in development mode. This can be done using the following command:
pip install -e .[dev]
This will install the module as a reference to your current directory. The Jupyter notebooks in the "examples" directory have been setup to use auto-reload. Thus, if you now make any changes to your local code, they will be automatically reflected in the notebook.
In general the code follows three principals, OOP, PEP8 (code style) and PEP 484 (type hinting). In addition, we use Flake8 to lint the code, MyPy to check the type hints and Nose2 to do unit testing. These checks are done automatically when attempting to merge a pull request into master.
To release a new version of the module you need to take two steps, create a new PyPi release and generate the documentation.
To generate the documentation, you should follow these steps in the "ITR" repository (the one containing the Python module).
- cd docs
- make html
- Copy the contents of the docs/_build/ folder into the gh_pages branch
- Start the FastAPI server from the ITR_api branch
- Go to the docs and copy this file to the "swagger" directory in the gh_pages branch.
- Commit and push the gh_pages branch
Everyone's goals here are aligned: to help asset owners and asset managers reduce their impact on climate change. The only way we can achieve this goal is by fostering an inclusive and welcome environment. Therefore, this project is governed by a code of conduct. By participating, you are expected to uphold this code. If you encounter any violations, please report them.
.. toctree:: :maxdepth: 4
Any contribution is highly appreciated. The most common way to contribute to the project is through coding, however contributions to the documentation are also very welcome.
To keep track of open issues and feature requests, we will use Github's https://github.com/os-climate/ITR/issues <https://github.com/os-climate/ITR/issues>
.
If you encounter any bugs or missing features, please do not hesitate to open a ticket. Before submitting a report, please check that the issue has not already been reported. For ease of comprehension, please ensure your report includes the following characteristics:
- Reproducible: It should be possible for others to reproduce the issue, ideally through a small code snippet in the description of the issue
- Labelled: Add a label that describes the contents of the ticket, e.g. "bug", "feature request" or "documentation"
Our preferred way for contributing code is to fork the repository, make changes on your personal fork and then create a pull request to merge your changes back into the main repository. Before a pull request can be approved it needs to be reviewed by two core contributors, then these automated checks need to be passed (see "Coding Guidelines" section below).
Note
Please assign the issue you are working on to yourself so we can avoid duplicate efforts.
Before getting started it is important to have a clean Python environment. The recommended Python version is 3.6 or higher. An anaconda environment file is provided in the root of the project, as is a PIP requirements.txt file. The easiest way to work on the Python module is by installing it in development mode. This can be done using the following command:
pip install -e .[dev]
This will install the module as a reference to your current directory. The Jupyter notebooks in the "examples" directory have been setup to use auto-reload. Thus, if you now make any changes to your local code, they will be automatically reflected in the notebook.
In general the code follows three principals, OOP, PEP8 (code style) and PEP 484 (type hinting). In addition, we use Flake8 to lint the code, MyPy to check the type hints and Nose2 to do unit testing. These checks are done automatically when attempting to merge a pull request into master.
To release a new version of the module you need to take two steps, create a new PyPi release and generate the documentation.
To generate the documentation, you should follow these steps in the "ITR" repository (the one containing the Python module).
- cd docs
- make html
- Copy the contents of the docs/_build/ folder into the gh_pages branch
- Start the FastAPI server from the ITR_api branch
- Go to the docs and copy this file to the "swagger" directory in the gh_pages branch.
- Commit and push the gh_pages branch
Everyone's goals here are aligned: to help asset owners and asset managers reduce their impact on climate change. The only way we can achieve this goal is by fostering an inclusive and welcome environment. Therefore, this project is governed by a code of conduct. By participating, you are expected to uphold this code. If you encounter any violations, please report them.
.. toctree:: :maxdepth: 4
Welcome to ITR
contributor's guide.
This document focuses on getting any potential contributor familiarized with the development processes, but other kinds of contributions are also appreciated.
If you are new to using git or have never collaborated in a project previously, please have a look at contribution-guide.org. Other resources are also listed in the excellent guide created by FreeCodeCamp [1].
Please notice, all users and contributors are expected to be open, considerate, reasonable, and respectful. When in doubt, Python Software Foundation's Code of Conduct is a good reference in terms of behavior guidelines.
If you experience bugs or general issues with ITR
, please have a look
on the https://github.com/os-climate/ITR/issues
. If you don't see anything useful there, please feel
free to fire an issue report.
Tip
Please don't forget to include the closed issues in your search. Sometimes a solution was already reported, and the problem is considered solved.
New issue reports should include information about your programming environment (e.g., operating system, Python version) and steps to reproduce the problem. Please try also to simplify the reproduction steps to a very minimal example that still illustrates the problem you are facing. By removing other factors, you help us to identify the root cause of the issue.
You can help improve ITR
docs by making them more readable and coherent, or
by adding missing information and correcting mistakes.
ITR
documentation uses Sphinx as its main documentation compiler.
This means that the docs are kept in the same repository as the project code, and
that any documentation update is done in the same way was a code contribution.
e.g., reStructuredText or CommonMark with MyST extensions.Tip
Please notice that the GitHub web interface provides a quick way of propose changes in
ITR
's files. While this mechanism can be tricky for normal code contributions, it works perfectly fine for contributing to the docs, and can be quite handy.If you are interested in trying this method out, please navigate to the
docs
folder in the sourcerepository
, find which file you would like to propose changes and click in the little pencil icon at the top, to open GitHub's code editor. Once you finish editing the file, please write a message in the form at the bottom of the page describing which changes have you made and what are the motivations behind them and submit your proposal.
When working on documentation changes in your local machine, you can
compile them using tox
:
tox -e docs
and use Python's built-in web server for a preview in your web browser
(http://localhost:8000
):
python3 -m http.server --directory 'docs/_build/html'
Before you work on any non-trivial code contribution it's best to first create
a report in the https://github.com/os-climate/ITR/issues
to start a discussion on the subject.
This often provides additional considerations and avoids unnecessary work.
Before you start coding, we recommend creating an isolated virtual
environment to avoid any problems with your installed Python packages.
This can easily be done via either virtualenv
:
virtualenv <PATH TO VENV> source <PATH TO VENV>/bin/activate
or Miniconda:
conda create -n ITR python=3 six virtualenv pytest pytest-cov conda activate ITR
Create an user account on GitHub if you do not already have one.
Fork the project
repository
: click on the Fork button near the top of the page. This creates a copy of the code under your account on GitHub.Clone this copy to your local disk:
git clone [email protected]:YourLogin/ITR.git cd ITR
You should run:
pip install -U pip setuptools -e .
to be able to import the package under development in the Python REPL.
Install
pre-commit
:pip install pre-commit pre-commit install
ITR
comes with a lot of hooks configured to automatically help the developer to check the code being written.
Create a branch to hold your changes:
git checkout -b my-feature
and start making changes. Never work on the main branch!
Start your work on this branch. Don't forget to add docstrings to new functions, modules and classes, especially if they are part of public APIs.
Add yourself to the list of contributors in
AUTHORS.rst
.When you’re done editing, do:
git add <MODIFIED FILES> git commit
to record your changes in git.
Please make sure to see the validation messages from
pre-commit
and fix any eventual issues. This should automatically use flake8/black to check/fix the code style in a way that is compatible with the project.Important
Don't forget to add unit tests and documentation in case your contribution adds an additional feature and is not just a bugfix.
Moreover, writing a descriptive commit message is highly recommended. In case of doubt, you can check the commit history with:
git log --graph --decorate --pretty=oneline --abbrev-commit --all
to look for recurring communication patterns.
Please check that your changes don't break any unit tests with:
tox
(after having installed
tox
withpip install tox
orpipx
).You can also use
tox
to run several other pre-configured tasks in the repository. Trytox -av
to see a list of the available checks.
If everything works fine, push your local branch to GitHub with:
git push -u origin my-feature
Go to the web page of your fork and click Create pull request to send your changes for review.
Find more detailed information in creating a PR. You might also want to open the PR as a draft first and mark it as ready for review after the feedbacks from the continuous integration (CI) system or any required fixes.
The following tips can be used when facing problems to build or test the package:
Make sure to fetch all the tags from the upstream
repository
. The commandgit describe --abbrev=0 --tags
should return the version you are expecting. If you are trying to run CI scripts in a fork repository, make sure to push all the tags. You can also try to remove all the egg files or the complete egg folder, i.e.,.eggs
, as well as the*.egg-info
folders in thesrc
folder or potentially in the root of your project.Sometimes
tox
misses out when new dependencies are added, especially tosetup.cfg
anddocs/requirements.txt
. If you find any problems with missing dependencies when running a command withtox
, try to recreate thetox
environment using the-r
flag. For example, instead of:tox -e docs
Try running:
tox -r -e docs
Make sure to have a reliable
tox
installation that uses the correct Python version (e.g., 3.7+). When in doubt you can run:tox --version # OR which tox
If you have trouble and are seeing weird errors upon running
tox
, you can also try to create a dedicated virtual environment with atox
binary freshly installed. For example:virtualenv .venv source .venv/bin/activate .venv/bin/pip install tox .venv/bin/tox -e all
Pytest can drop you in an interactive session in the case an error occurs. In order to do that you need to pass a
--pdb
option (for example by runningtox -- -k <NAME OF THE FALLING TEST> --pdb
). You can also setup breakpoints manually instead of using the--pdb
option.
If instead you are using a different/private package index, please update the instructions accordingly.
If you are part of the group of maintainers and have correct user permissions
on PyPI, the following steps can be used to release a new version for
ITR
:
- Make sure all unit tests are successful.
- Tag the current commit on the main branch with a release tag, e.g.,
v1.2.3
. - Push the new tag to the upstream
repository
, e.g.,git push upstream v1.2.3
- Clean up the
dist
andbuild
folders withtox -e clean
(orrm -rf dist build
) to avoid confusion with old builds and Sphinx docs. - Run
tox -e build
and check that the files indist
have the correct version (no.dirty
or git hash) according to the git tag. Also check the sizes of the distributions, if they are too big (e.g., > 500KB), unwanted clutter may have been accidentally included. - Run
tox -e publish -- --repository pypi
and check that everything was uploaded to PyPI correctly.
[1] | Even though, these resources focus on open source projects and communities, the general ideas behind collaborating with other developers to collectively create software are general and can be applied to all sorts of environments, including private companies and proprietary code bases. |