This project template is the starting point for people who want to develop Python based components for the DALiuGE workflow development and execution framework. It contains everything to get you started, including project setup, dependency installation and the actual installation procedure into the DALiuGE environment.
NOTE: This template is based on the excellent work of Bruno Rocha (https://github.com/rochacbruno/python-project-template).
DO NOT FORK this is meant to be used from Use this template feature, which also appears instead of the usual 'Code' button on the top-right of the repository page.
- Click on Use this template
- Give a name to your new DALiuGE components
(e.g.my_awesome_components
, recommendation is to use all lowercase and underscores separation for repo names.) - Wait until the first run of CI finishes(!) (Github Actions will process the template and commit to your new repo)
- If you want codecov Reports and Automatic Release to PyPI
On the new repositorysettings->secrets
add yourPIPY_API_TOKEN
andCODECOV_TOKEN
(get the tokens on respective websites) - Then clone your new project and happy coding!
AGAIN: WAIT until first CI run on github actions before cloning your new project.
- 🖼️ Basic Python components use this template
or Run
make init
after cloning to generate a new project based on a template. - 📦 A basic setup.py file to provide installation, packaging and distribution for your component.
Template uses setuptools because it's the de-facto standard for Python packages, you can runmake switch-to-poetry
later if you want. - 🤖 A Makefile with the most useful commands to install, test, lint, format and release your component. (Try
make help
) - 📃 Documentation structure using mkdocs
- 💬 Auto generation of change log using gitchangelog to keep a HISTORY.md file automatically based on your commit history on every release.
- 🐋 A simple Containerfile to build a container image for your project.
Containerfile
is a more open standard for building container images than Dockerfile, you can use buildah or docker with this file. - 🧪 Testing structure using pytest
- ✅ Code linting using flake8
- 📊 Code coverage reports using codecov
- 🛳️ Automatic release to PyPI using twine and github actions.
- 🎯 Entry points to execute your program using
python -m <fibonacci_drop>
or$ fibonacci_drop
with basic CLI argument parsing. - 🔄 Continuous integration using Github Actions with jobs to lint, test and release your project on Linux and Mac environments.
Curious about architectural decisions on this template? read ABOUT_THIS_TEMPLATE.md
If you want to contribute to this template please open an issue or fork and send a PULL REQUEST.
Awesome fibonacci_drop created by myxie
pip install my_component
from my_component import MyAppDROP
MyAppDROP('a','a').run()
$ python -m fibonacci_drop
#or
$ fibonacci_drop