To run locally, do the usual:
Create a Python 3.5 virtualenv
Install dependencies:
pip install -r requirements/dev.txt npm install
Alternatively use the make task:
make install
Make a directory to store the project's data (MEDIA_ROOT, DOC_BUILDS_ROOT, etc.). We'll use ~/.djangoproject for example purposes.
Create a 'secrets.json' file in a directory named 'conf' in that directory, containing something like:
{ "secret_key": "xyz", "superfeedr_creds": ["any@email.com", "some_string"], "db_host": "localhost", "db_password": "secret", "trac_db_host": "localhost", "trac_db_password": "secret" }
Add export DJANGOPROJECT_DATA_DIR=~/.djangoproject (without the backticks) to your ~/.bashrc (or ~/.zshrc if you're using zsh) file and then run source ~/.bashrc (or source ~/.zshrc) to load the changes.
Create databases:
createuser -d djangoproject --superuser createdb -O djangoproject djangoproject createuser -d code.djangoproject --superuser createdb -O code.djangoproject code.djangoproject
Setting up database access
If you are using the default postgres configuration, chances are you will have to give a password for the newly created users in order to be able to use them for Django:
psql ALTER USER djangoproject WITH PASSWORD 'secret'; ALTER USER "code.djangoproject" WITH PASSWORD 'secret'; \d
(Use the same passwords as the ones you've used in your secrets.json file)
Create tables:
psql -d code.djangoproject < tracdb/trac.sql ./manage.py migrate
Create a superuser:
./manage.py createsuperuser
Populate the www and docs hostnames in the django.contrib.sites app:
./manage.py loaddata dev_sites
For docs:
./manage.py loaddata doc_releases ./manage.py update_docs
For dashboard:
To load the latest dashboard categories and metrics:
./manage.py loaddata dashboard_production_metrics
Alternatively, to load a full set of sample data (takes a few minutes):
./manage.py loaddata dashboard_example_data
Finally, make sure the loaded metrics have at least one data point (this makes API calls to the URLs from the metrics objects loaded above and may take some time depending on the metrics chosen):
./manage.py update_metrics
Point the
www.djangoproject.localhost
,docs.djangoproject.localhost
, anddashboard.djangoproject.localhost
hostnames with your/etc/hosts
file tolocalhost
/127.0.0.1
:127.0.0.1 docs.djangoproject.localhost www.djangoproject.localhost dashboard.djangoproject.localhost
This is unnecessary with some browsers (e.g. Opera and Chromium/Chrome) as they handle localhost subdomains automatically.
If you're on Mac OS and don't feel like editing the
/etc/hosts
file manually, there is a great preference pane called Hosts.prefpane. On Ubuntu there is a built-in network admin GUI to do the same. Remember both require admin privileges, just like you'd need when editing/etc/hosts
with your favorite editor.If you don't have admin rights but have an internet connection, you can use a service like xip.io. In that case you'll also have to update ALLOWED_HOSTS in djangoproject/settings/dev.py as well as the content of the django_site table in your database.
Compile the CSS (only the source SCSS files are stored in the repository):
make compile-scss
Finally run the server:
make run
This runs both the main site ("www") as well as the docs and dashboard site in the same process. Open http://www.djangoproject.localhost:8000/, http://docs.djangoproject.localhost:8000/, or http://dashboard.djangoproject.localhost:8000/.
We use Travis-CI for continuous testing and GitHub pull request integration. If you're familiar with those systems you should not have any problems writing tests.
Our test results can be found here:
https://travis-ci.org/django/djangoproject.com
For local development don't hesitate to install tox to run the website's test suite.
Then in the root directory (next to the manage.py
file) run:
tox
Behind the scenes this will run the usual ./manage.py test
management
command with a preset list of apps that we want to test as well as
flake8 for code quality checks. We
collect test coverage data as part of that tox run, to show the result
simply run:
coverage report
or for a HTML-based report:
coverage html
(Optional) In case you're using an own virtualenv you can also run the
tests manually using the test
task of the Makefile
. Don't forget to
install the test requirements with the following command first though:
pip install -r requirements/tests.txt
Then run:
make test
or simply the usual test management command:
./manage.py test [list of app labels]
The goal of the site is to target various levels of browsers, depending on their ability to use the technologies in use on the site, such as HTML5, CSS3, SVG, webfonts.
We're following Mozilla's example when it comes to categorize browser support.
- Desktop browsers, except as noted below, are A grade, meaning that everything needs to work.
- IE < 11 is not supported (based on Microsoft's support).
- Mobile browsers should be considered B grade as well. Mobile Safari, Firefox on Android and the Android Browser should support the responsive styles as much as possible but some degredation can't be prevented due to the limited screen size and other platform restrictions.
Static files such as CSS, JavaScript or image files can be found in the
djangoproject/static
subdirectory.
Templates can be found in the djangoproject/templates
subdirectory.
CSS is written in Scss and compiled via Libsass.
Run the following to compile the Scss files to CSS:
make compile-scss-debug
Alternatively you can also run the following command in a separate shell to continuously watch for changes to the Scss files and automatically compile to CSS:
make watch-scss
Optionally you can use a tool like Foreman to run all process at once:
- the site (similar to www.djangoproject.com) on http://0.0.0.0:8000/ to be used with the modified /etc/hosts file (see above)
- the
make
task to automatically compile the SASS files to CSS files
This is great during development. Assuming you're using Foreman simply run:
foreman start
If you just want to run one of the processes defined above use the
run
subcommand like so:
foreman run web
That'll just run the www server.
Check out the Procfile
file for all the process names.
This project uses Bower to manage JavaScript libraries.
At any time, you can run it to install a new library (e.g., jquery-ui
):
npm run bower install jquery-ui --save
or check if there are newer versions of the libraries that we use:
npm run bower ls
If you need to update an existing library, the easiest way is to change the
version requirement in bower.json
and then to run
npm run bower install
again.
We commit the libraries to the repository, so if you add, update, or remove a
library from bower.json
, you will need to commit the changes in
djangoproject/static
too.
When running ./manage.py update_docs
to build all documents it will also
automatically index every document it builds in the search engine as well.
In case you've already built the documents and would like to reindex the
search index run the command:
./manage.py update_index
This is also the right command to run when you work on the search feature
itself. You can pass the -d
option to try to drop the search index
first before indexing all the documents.
The business logic for dashboard metrics is edited via the admin interface and
contained in the models in the dashboard
app (other than Dataum
, which
contains the data itself). From time to time, those metrics should be extracted
from a copy of the production database and saved to the
dashboard/fixtures/dashboard_production_metrics.json
file.
To update this file, run:
./manage.py dumpdata dashboard --exclude dashboard.Datum --indent=4 > dashboard_production_metrics.json