Thanks for your interest in helping improve Taipy! Contributions are welcome, and they are greatly appreciated! Every little help and credit will always be given.
There are multiple ways to contribute to Taipy: code, but also reporting bugs, creating feature requests, helping other users in our forums, stackoverflow, etc.
Today the only way to communicate with the Taipy team is by GitHub issues.
Have a look on this GitHub documentation.
Reporting bugs is through GitHub issues.
Please report relevant information and preferably code that exhibits the problem. We provide templates to help you describe the issue.
The Taipy team will analyse and try to reproduce the bug to provide feedback. If confirmed, we will add a priority to the issue and add it in our backlog. Feel free to propose a pull request to fix it.
Any feedback or proposal is greatly appreciated! Do not hesitate to create an issue with the appropriate template on GitHub.
The Taipy team will analyse your issue and return to you as soon as possible.
Do not hesitate to create an issue or pull request directly on the taipy-doc repository.
The Taipy team manages its backlog in private. Each issue that will be done during our current sprint is
attached to the current sprint
. Please, do not work on it, the Taipy team is on it.
Taipy is organised in five main repositories:
- taipy-config.
- taipy-core.
- taipy-gui.
- taipy-rest.
- taipy brings previous packages in a single one.
Taipy's repositories follow the PEP 8 and PEP 484 coding convention.
Taipy's repositories use the ESLint and TypeScript ESLint plugin to ensure a common set of rules.
All new development happens in the develop
branch. All pull requests should target that branch.
We are following a strict branch naming convention based on the pattern: <type>/#<issueId>[IssueSummary]
.
Where:
<type>
would be one of:- feature: new feature implementation, or improvement of a feature.
- bug: bug fix.
- review: change provoked by review comment not immediately taken care of.
- refactor: refactor of a piece of code.
- doc: doc changes (complement or typo fixes…).
- build: in relation with the build process.
<issueId>
is the processed issue identifier. The advantage of explicitly indicating the issue number is that in GitHub, a pull request page shows a direct link to the issue description.[IssueSummary]
is a short summary of the issue topic, not including spaces, using Camel case or lower-case, dash-separated words. This summary, with its dash (‘-’) symbol prefix, is optional.
Find an issue without the label current sprint
and add a comment on it to inform the community that you are
working on it.
-
Make your own fork of the repository target by the issue. Clone it on our local machine, then go inside the directory.
-
We are working with Pipenv for our virtualenv. Create a local env and install development package by running
pipenv install --dev
, then run tests withpipenv run pytest
to verify your setup. -
For convention help, we provide a pre-commit file. This tool will run before each commit and will automatically reformat code or raise warnings and errors based on the code format or Python typing. You can install and setup it up by doing:
pipenv install pre-commit pipenv run python -m pre-commit install
-
Make the changes.
You may want to also add your GitHub login as a new line of thecontributors.txt
file located at the root of this repository. We are using it to list our contributors in the Taipy documentation (see the "Contributing > Contributors" section) and thank them. -
Create a pull request from your fork.
Keep your pull request as draft until your work is finished. Do not hesitate to add a comment for help or questions. Before you submit a pull request for review from your forked repo, check that it meets these guidelines:- Include tests.
- Code is rebase.
- License is present.
- pre-commit works - without mypy error.
- GitHub's actions are passing.
-
The taipy team will have a look at your Pull Request and will give feedback. If every requirement is valid, your work will be added in the next release, congratulation!
Taipy comes with multiple optional packages. You can find the list directly in the product or Taipy's packages.
The back-end Pipfile does not install by default optional packages due to pyodbc
requiring a driver's manual
installation. This is not the behaviour for the front-end that installs all optional packages through its Pipfile.
If you are a contributor on Taipy, be careful with dependencies, do not forget to install or uninstall depending on your issue.
If you need to add a new dependency to Taipy, do not forget to add it in the Pipfile
and the setup.py
.
Keep in mind that dependency is a vector of attack. The Taipy team limits the usage of external dependencies at the
minimum.