Contributions are welcome and are greatly appreciated! Every little bit helps, and credit will always be given.
You can contribute in many ways:
Report bugs through GitHub
If you are reporting a bug, please include:
When you post python stack traces please quote them using markdown blocks.
Look through the GitHub issues for bugs. Anything tagged with “bug” is open to whoever wants to implement it.
Look through the GitHub issues for features. Anything tagged with “feature” or “starter_task” is open to whoever wants to implement it.
Superset could always use better documentation, whether as part of the official Superset docs, in docstrings, docs/*.rst or even on the web as blog posts or articles.
The best way to send feedback is to file an issue on GitHub.
If you are proposing a feature:
There is a dedicated tag on stackoverflow. Please use it when asking questions.
Before you submit a pull request from your forked repo, check that it meets these guidelines:
from __future__ import will be required in every .py file soon.The latest documentation and tutorial are available here.
Contributing to the official documentation is relatively easy, once you‘ve setup your environment and done an edit end-to-end. The docs can be found in the docs/ subdirectory of the repository, and are written in the reStructuredText format (.rst). If you’ve written Markdown before, you'll find the reStructuredText format familiar.
Superset uses Sphinx to convert the rst files in docs/ to the final HTML output users see.
Before you start changing the docs, you'll want to fork the Superset project on Github. Once that new repository has been created, clone it on your local machine:
git clone git@github.com:your_username/incubator-superset.git
At this point, you may also want to create a Python virtual environment to manage the Python packages you're about to install:
virtualenv superset-dev source superset-dev/bin/activate
Finally, to make changes to the rst files and build the docs using Sphinx, you'll need to install a handful of dependencies from the repo you cloned:
cd incubator-superset pip install -r dev-reqs-for-docs.txt
To get the feel for how to edit and build the docs, let‘s edit a file, build the docs and see our changes in action. First, you’ll want to create a new branch to work on your changes:
git checkout -b changes-to-docs
Now, go ahead and edit one of the files under docs/, say docs/tutorial.rst
Once you've made your changes, run this command from the root of the Superset repo to convert the docs into HTML:
python setup.py build_sphinx
You‘ll see a lot of output as Sphinx handles the conversion. After it’s done, the HTML Sphinx generated should be in docs/_build/html. Go ahead and navigate there and start a simple web server so we can check out the docs in a browser:
cd docs/_build/html python -m SimpleHTTPServer
This will start a small Python web server listening on port 8000. Point your browser to http://localhost:8000/, find the file you edited earlier, and check out your changes!
If you‘ve made a change you’d like to contribute to the actual docs, just commit your code, push your new branch to Github:
git add docs/tutorial.rst git commit -m 'Awesome new change to tutorial' git push origin changes-to-docs
Then, open a pull request.
If you‘re adding new images to the documentation, you’ll notice that the images referenced in the rst, e.g.
.. image:: _static/img/tutorial/tutorial_01_sources_database.png
aren‘t actually included in that directory. Instead, you’ll want to add and commit images (and any other static assets) to the superset/assets/images directory. When the docs are being pushed to Apache Superset (incubating), images will be moved from there to the _static/img directory, just like they're referenced in the docs.
For example, the image referenced above actually lives in
superset/assets/images/tutorial
Since the image is moved during the documentation build process, the docs reference the image in
_static/img/tutorial
instead.
Check the OS dependencies before follows these steps.
# fork the repo on GitHub and then clone it # alternatively you may want to clone the main repo but that won't work # so well if you are planning on sending PRs # git clone git@github.com:apache/incubator-superset.git # [optional] setup a virtual env and activate it virtualenv env source env/bin/activate # install for development pip install -e . # Create an admin user fabmanager create-admin --app superset # Initialize the database superset db upgrade # Create default roles and permissions superset init # Load some data to play with superset load_examples # start a dev web server superset runserver -d
superset/assets contains all npm-managed, front end assets. Flask-Appbuilder itself comes bundled with jQuery and bootstrap. While these may be phased out over time, these packages are currently not managed with npm.
Make sure you are using recent versions of node and npm. No problems have been found with node>=5.10 and 4.0. > npm>=3.9.
First, npm must be available in your environment. If it is not you can run the following commands (taken from this source)
brew install node --without-npm echo prefix=~/.npm-packages >> ~/.npmrc curl -L https://www.npmjs.com/install.sh | sh
The final step is to add ~/.npm-packages/bin to your PATH so commands you install globally are usable. Add something like this to your .bashrc file, then source ~/.bashrc to reflect the change.
export PATH="$HOME/.npm-packages/bin:$PATH"
To install third party libraries defined in package.json, run the following within the superset/assets/ directory which will install them in a new node_modules/ folder within assets/.
# from the root of the repository, move to where our JS package.json lives cd superset/assets/ # install yarn, a replacement for `npm install` that is faster and more deterministic npm install -g yarn # run yarn to fetch all the dependencies yarn
To parse and generate bundled files for superset, run either of the following commands. The dev flag will keep the npm script running and re-run it upon any changes within the assets directory.
# Copies a conf file from the frontend to the backend npm run sync-backend # Compiles the production / optimized js & css npm run prod # Start a web server that manages and updates your assets as you modify them npm run dev
For every development session you will have to start a flask dev server as well as an npm watcher
superset runserver -d -p 8081 npm run dev
Before running python unit tests, please setup local testing environment:
pip install -r dev-reqs.txt
All python tests can be run with:
./run_tests.sh
Alternatively, you can run a specific test with:
./run_specific_test.sh tests.core_tests:CoreTests.test_function_name
Note that before running specific tests, you have to both setup the local testing environment and run all tests.
We use Mocha, Chai and Enzyme to test Javascript. Tests can be run with:
cd /superset/superset/assets/javascripts npm i npm run test
Lint the project with:
# for python flake8 # for javascript npm run lint
Codeclimate is a service we use to measure code quality and test coverage. To get codeclimate's report on your branch, ideally before sending your PR, you can setup codeclimate against your Superset fork. After you push to your fork, you should be able to get the report at http://codeclimate.com . Alternatively, if you prefer to work locally, you can install the codeclimate cli tool.
Install the codeclimate cli tool
curl -L https://github.com/docker/machine/releases/download/v0.7.0/docker-machine-`uname -s`-`uname -m` > /usr/local/bin/docker-machine && chmod +x /usr/local/bin/docker-machine brew install docker docker-machine create --driver virtual box default docker-machine env default eval "$(docker-machine env default)" docker pull codeclimate/codeclimate brew tap codeclimate/formulae brew install codeclimate
Run the lint command:
docker-machine start eval "$(docker-machine env default)” codeclimate analyze
More info can be found here: https://docs.codeclimate.com/docs/open-source-free
Generate the documentation with:
cd docs && ./build.sh
As part of the npm build process, CSS for Superset is compiled from Less, a dynamic stylesheet language.
It's possible to customize or add your own theme to Superset, either by overriding CSS rules or preferably by modifying the Less variables or files in assets/stylesheets/less/.
The variables.less and bootswatch.less files that ship with Superset are derived from Bootswatch and thus extend Bootstrap. Modify variables in these files directly, or swap them out entirely with the equivalent files from other Bootswatch (themes)[https://github.com/thomaspark/bootswatch.git]
We use Babel to translate Superset. The key is to instrument the strings that need translation using from flask_babel import lazy_gettext as _. Once this is imported in a module, all you have to do is to _("Wrap your strings") using the underscore _ “function”.
We use import {t, tn, TCT} from locales; in js, JSX file, locales is in ./superset/assets/javascripts/ directory.
To enable changing language in your environment, you can simply add the LANGUAGES parameter to your superset_config.py. Having more than one options here will add a language selection dropdown on the right side of the navigation bar.
LANGUAGES = {
'en': {'flag': 'us', 'name': 'English'},
'fr': {'flag': 'fr', 'name': 'French'},
'zh': {'flag': 'cn', 'name': 'Chinese'},
}
As per the [Flask AppBuilder documentation] about translation, to create a new language dictionary, run the following command (where es is replaced with the language code for your target language):
pybabel init -i superset/translations/messages.pot -d superset/translations -l es
Then it's a matter of running the statement below to gather all strings that need translation
fabmanager babel-extract --target superset/translations/ --output superset/translations/messages.pot --config superset/translations/babel.cfg -k _ -k __ -k t -k tn -k tct
You can then translate the strings gathered in files located under superset/translation, where there's one per language. For the translations to take effect, they need to be compiled using this command:
fabmanager babel-compile --target superset/translations/
In the case of JS translation, we need to convert the PO file into a JSON file, and we need the global download of the npm package po2json. We need to be compiled using this command:
npm install po2json -g
Execute this command to convert the en PO file into a json file:
po2json -d superset -f jed1.x superset/translations/en/LC_MESSAGES/messages.po superset/translations/en/LC_MESSAGES/messages.json
If you get errors running po2json, you might be running the ubuntu package with the same name rather than the nodejs package (they have a different format for the arguments). You need to be running the nodejs version, and so if there is a conflict you may need to point directly at /usr/local/bin/po2json rather than just po2json.
Create Models and Views for the datasource, add them under superset folder, like a new my_models.py with models for cluster, datasources, columns and metrics and my_views.py with clustermodelview and datasourcemodelview.
Create db migration files for the new models
Specify this variable to add the datasource model and from which module it is from in config.py:
For example:
ADDITIONAL_MODULE_DS_MAP = {'superset.my_models': ['MyDatasource', 'MyOtherDatasource']}
This means it'll register MyDatasource and MyOtherDatasource in superset.my_models module in the source registry.
Here's an example as a Github PR with comments that describe what the different sections of the code do: https://github.com/apache/incubator-superset/pull/3013
Every once in a while we want to compile the documentation and publish it. Here's how to do it.
.. code::
# install doc dependencies pip install -r dev-reqs-for-docs.txt # build the docs python setup.py build_sphinx # copy html files to temp folder cp -r docs/_build/html/ /tmp/tmp_superset_docs/ # clone the docs repo cd ~/ git clone https://git-wip-us.apache.org/repos/asf/incubator-superset-site.git # copy cp -r /tmp/tmp_superset_docs/ ~/incubator-superset-site.git/ # commit and push to `asf-site` branch cd ~/incubator-superset-site.git/ git checkout asf-site git add . git commit -a -m "New doc version" git push origin master