Contributing¶
Contributions are welcome, and they are greatly appreciated! Every little bit helps, and credit will always be given.
You can contribute in many ways:
Types of Contributions¶
Report Bugs¶
Report bugs at https://github.com/AaronBlare/pydnameth/issues.
If you are reporting a bug, please include:
Your operating system name and version.
Any details about your local setup that might be helpful in troubleshooting.
Detailed steps to reproduce the bug.
Fix Bugs¶
Look through the GitHub issues for bugs. Anything tagged with “bug” and “help wanted” is open to whoever wants to implement it.
Implement Features¶
Look through the GitHub issues for features. Anything tagged with “enhancement” and “help wanted” is open to whoever wants to implement it.
Write Documentation¶
pydnameth could always use more documentation, whether as part of the official pydnameth docs, in docstrings, or even on the web in blog posts, articles, and such.
Submit Feedback¶
The best way to send feedback is to file an issue at https://github.com/AaronBlare/pydnameth/issues.
If you are proposing a feature:
Explain in detail how it would work.
Keep the scope as narrow as possible, to make it easier to implement.
Remember that this is a volunteer-driven project, and that contributions are welcome :)
Get Started!¶
Ready to contribute? Here’s how to set up pydnameth
for local development.
Environment¶
We use Anaconda Python distribution and PyCharm IDE
You can use any other Python distributions and IDEs.
GitHub Init¶
Fork the
pydnameth
repo on GitHub.Travis CI and AppVeyor are continuous integration tools. Login using your Github credentials. It may take a few minutes for Travis CI and AppVeyor to load up a list of all your GitHub repos. Turn on testing your origin repository on Travis CI and AppVeyor. To do this, log into your personal account, synchronize the repositories with GitHub and add
pydnameth
project.
Local¶
Clone your fork locally:
$ git clone git@github.com:your_name_here/pydnameth.git
Create a virtual environment for your project and activate it:
$ conda create --name your-env-name python=x.x $ activate your-env-name
where
your-env-name
is the name you want to call your environment, and replacex.x
with the Python version you wish to use (for example 3.7)Go to the root of
pydnameth
project and install project in ‘editable’ or ‘develop’ mode while you are working on it:$ pip install --editable .
.
refers to the current working directory. This allows the project to be both installed and editable in project form.Install all libs in
requirements_dev.txt
:$ pip install -r requirements_dev.txt
If with some package
err-pkg
error occurs, try:$ conda install err-pkg --channel=conda-forge
If you want to save figures locally as
.pdf
and.png
run the command:$ conda install -c plotly plotly-orca psutil
And repeat command:
$ pip install -r requirements_dev.txt
If
requirements_dev.txt
file was updated, you should repeat the command:$ pip install -r requirements_dev.txt
If you update
requirements_dev.txt
file, you should recreate environment fortox
(only locally):$ tox --recreate -e env
Where
env
is name fortox
environment.
Git Pipeline¶
master
branch is always in production, tested and complete.development
is the branch closest tomaster
but has changes that should be merged tomaster
. Anyone who starts working on a new feature or bug fixing should always branch out fromdevelopment
.Branch out from
development
with new branch for bug or feature:$ git checkout -b name-of-your-bugfix-or-feature
Now you can make your changes locally.
When you’re done making changes, check that your changes pass flake8 and the tests:
$ tox
Commit your changes and push your branch to GitHub:
$ git add . $ git commit -m "Your detailed description of your changes." $ git push origin name-of-your-bugfix-or-feature
Submit a pull request through the GitHub website.
Pull Request Guidelines¶
Before you submit a pull request, check that it meets these guidelines:
The pull request should include tests.
If the pull request adds functionality, the docs should be updated. Put your new functionality into a function with a docstring, and add the feature to the list in README.rst.
The pull request should work for Python 3.7, 3.6 and 3.5. Check https://travis-ci.org/AaronBlare/pydnameth/pull_requests and make sure that the tests pass for all supported Python versions.
Deploying¶
A reminder for the maintainers on how to deploy.
Make sure all your changes are committed (including an entry in HISTORY.rst
).
Then run:
$ git add HISTORY.rst
$ git commit -m "Changelog for upcoming release x.x.x."
$ bump2version patch # possible: major / minor / patch
$ git push
$ git push --tags
Travis will then deploy to PyPI if tests pass.