wagtail/docs/contributing/developing.rst

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Development
-----------
Setting up a local copy of `the Wagtail git repository <https://github.com/torchbox/wagtail>`_ is slightly more involved than running a release package of Wagtail, as it requires `Node.js <https://nodejs.org/>`_ and NPM for building Javascript and CSS assets. (This is not required when running a release version, as the compiled assets are included in the release package.)
If you're happy to develop on a virtual machine, the `vagrant-wagtail-develop <https://github.com/torchbox/vagrant-wagtail-develop>`_ setup script is the fastest way to get up and running. This will provide you with a running instance of the `Wagtail demo site <https://github.com/torchbox/wagtaildemo/>`_, with the Wagtail and wagtaildemo codebases available as shared folders for editing on your host machine.
(Build scripts for other platforms would be very much welcomed - if you create one, please let us know via the `Wagtail Developers group <https://groups.google.com/forum/#!forum/wagtail-developers>`_!)
If you'd prefer to set up all the components manually, read on. These instructions assume that you're familiar with using pip and virtualenv to manage Python packages.
Setting up the Wagtail codebase
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Install Node.js, any version between v0.10.x and v0.12.x. Instructions for installing Node.js can be found on the `Node.js download page <https://nodejs.org/download/>`_. You will also need to install the **libjpeg** and **zlib** libraries, if you haven't done so already - see Pillow's `platform-specific installation instructions <http://pillow.readthedocs.org/en/latest/installation.html#external-libraries>`_.
Clone a copy of `the Wagtail codebase <https://github.com/torchbox/wagtail>`_:
.. code-block:: sh
git clone https://github.com/torchbox/wagtail.git
cd wagtail
With your preferred virtualenv activated, install the Wagtail package in development mode:
.. code-block:: sh
python setup.py develop
Install the tool chain for building static assets:
.. code-block:: sh
npm install
Compile the assets:
.. code-block:: sh
npm run build
Any Wagtail sites you start up in this virtualenv will now run against this development instance of Wagtail. We recommend using the `Wagtail demo site <https://github.com/torchbox/wagtaildemo/>`_ as a basis for developing Wagtail.
Development dependencies
~~~~~~~~~~~~~~~~~~~~~~~~
Developing Wagtail requires additional Python modules for testing and documentation.
The list of dependencies is in the Wagtail root directory in ``requirements-dev.txt`` and can be installed thus, from the Wagtail codebase root directory::
pip install -r requirements-dev.txt
.. _testing:
Testing
~~~~~~~
From the root of the Wagtail codebase, run the following command to run all the tests::
python runtests.py
**Running only some of the tests**
At the time of writing, Wagtail has well over 1000 tests, which takes a while to
run. You can run tests for only one part of Wagtail by passing in the path as
an argument to ``runtests.py``::
python runtests.py wagtail.wagtailcore
**Testing against PostgreSQL**
By default, Wagtail tests against SQLite. You can switch to using PostgreSQL by
using the ``--postgres`` argument::
python runtests.py --postgres
If you need to use a different user, password or host. Use the ``PGUSER``, ``PGPASSWORD`` and ``PGHOST`` environment variables.
**Testing against a different database**
If you need to test against a different database, set the ``DATABASE_ENGINE``
environment variable to the name of the Django database backend to test against::
DATABASE_ENGINE=django.db.backends.mysql python runtests.py
This will create a new database called ``test_wagtail`` in MySQL and run
the tests against it.
**Testing Elasticsearch**
You can test Wagtail against Elasticsearch by passing the ``--elasticsearch``
argument to ``runtests.py``::
python runtests.py --elasticsearch
Wagtail will attempt to connect to a local instance of Elasticsearch
(``http://localhost:9200``) and use the index ``test_wagtail``.
If your Elasticsearch instance is located somewhere else, you can set the
``ELASTICSEARCH_URL`` environment variable to point to its location::
ELASTICSEARCH_URL=http://my-elasticsearch-instance:9200 python runtests.py --elasticsearch
Compiling static assets
~~~~~~~~~~~~~~~~~~~~~~~
All static assets such as JavaScript, CSS, images, and fonts for the Wagtail admin are compiled from their respective sources by ``gulp``. The compiled assets are not committed to the repository, and are compiled before packaging each new release. Compiled assets should not be submitted as part of a pull request.
To compile the assets, run:
.. code-block:: sh
npm run build
This must be done after every change to the source files. To watch the source files for changes and then automatically recompile the assets, run:
.. code-block:: sh
npm start