This topic describes how to contribute to the Tableau Server Client (Python) project:
This section will get you started with the basic workflow, describing how to create your own fork of the repository and how to open a pull request (PR) to add your contributions to the development branch.
Make sure you have signed the CLA.
Fork the repository. We follow the “Fork and Pull” model as described here.
Clone your fork:
git clone firstname.lastname@example.org:<user-name>/server-client-python.git
Run the tests to make sure everything is passing:
python setup.py test
git remote add upstream https://github.com/tableau/server-client-python
More information about configuring a remote for a fork can be found here.
git fetch upstream
Set up the feature/fix branch (based off the source
development branch). It is
recommended to use the format issue#-type-description, for example:
git checkout -b 13-fix-connection-bug upstream/development
For documentation changes, see the documentation section below.
Here’s a quick checklist to follow when coding to ensure a good pull request (PR):
black --line-length 120 tableauserverclient samples testto catch and fix any style issues before submitting your pull request. (Run black with the
--checkoption if you want to check whether formatting is valid without changing any files.)
Setting up a git pre-commit hook can be helpful to ensure your code changes follow the project style conventions before pushing and creating a pull request.
To configure the pre-commit hook, navigate to your local clone/fork of the
server-client-python project and change into the
Create a file
pre-commit with the contents below and mark it as executable
chmod +x pre-commit).
To test that the hook is working correctly, make a style-inconsistent change (for example, changing some indentation to not be a multiple of 4), then try to commit locally. You should get a failure with an explanation from black with the issue.
#!/bin/sh # only check if on a code branch (i.e. skip if on a docs branch) if [ -e tableauserverclient/__init__.py ]; then # check for style conventions in all code dirs echo Running black format check black --check --line-length 120 tableauserverclient samples test echo Running mypy type checking mypy --show-error-codes --disable-error-code misc --disable-error-code import tableauserverclient test fi
Windows users: The first line of the sample script above will need to be adjusted depending on how and where git is installed on your system, for example:
Create an endpoint class for the new feature, following the structure of the
other endpoints. Each endpoint usually has
delete operations that require making the url, creating the XML request if
necessary, sending the request, and creating the target item object based on
the server response.
Create an item class for the new feature, following the structure of the other item classes. Each item has properties that correspond to what attributes are sent to/received from the server (refer to docs and Postman for attributes). Some items also require constants for user input that are limited to specific strings. After making all the properties, make the parsing method that takes the server response and creates an instances of the target item. If the corresponding endpoint class has an update function, then parsing is broken into multiple parts (refer to another item like workbook or datasource for example).
Add testing by getting real xml responses from the server, and asserting that all properties are parsed and set correctly.
Add type hints to all new classes and functions added. Including type hinting on unit tests.
Add a sample to show users how to use the new feature. Try to keep the command line arguments of your sample consistent with the Samples documentation page and with other samples.
Add documentation (most likely in api-ref.md) in a separate pull request (see more below).
All of our tests live under the
test/ folder in the repository. We use
pytest and the built-in test runner
python setup.py test.
Follow the structure of existing tests, especially if new server responses are going to be mocked.
If a test needs a
static file, like a .twb/.twbx/.xml, it should live under
Make sure that all tests are passing before submitting your pull request.
When adding a new feature or improving existing functionality we ask that you update the documentation along with your code. See the Updating documentation section below for details.
Make a PR as described here against the development branch for code changes.
Wait for a review and address any feedback. While we try and stay on top of all issues and PRs it might take a few days for someone to respond. Politely pinging the PR after a few days with no response is OK, we’ll try and respond with a timeline as soon as we are able.
That’s it! When the PR has received (:rocket:’s) from members of the core team they will merge the PR.
Our documentation is written in Markdown (specifically kramdown) and built with Jekyll on GitHub Pages.
All of the documentation source files can be found in
/docs folder in the
gh-pages branch. The docs are hosted on the following URL:
If you are just making documentation updates (adding new docs, fixing typos,
improving wording) the easiest method is to use the built-in
Edit this file
feature (the pencil icon) or the
Edit this page link.
To make more significant changes or additions, please create a pull request against the gh-pages branch. When submitted along with a code pull request (as described above), you can include a link in the PR text so it’s clear they go together.
To preview and run the documentation locally, these are the steps:
Install Ruby (v2.5.0 or higher).
Install the project dependencies (which includes Jekyll) by running
bundle install. (In the future you can run
bundle update to catch any new dependencies.)
Run the Jekyll site locally with
bundle exec jekyll serve.
In your browser, connect to http://127.0.0.1:4000/server-client-python/ to preview the changes. As long as the Jekyll serve process is running, it will rebuild any new file changes automatically.
For more details, see the GitHub Pages topic on testing locally.