Using Docker in Development#
Pegasus optionally includes support for Docker during development. The Docker development setup can also be used as a foundation for deploying to containerized platforms. See our deployment page for more details.
Prerequisites#
You need to install Docker prior to setting up your environment.
Mac users have reported better performance on Docker using OrbStack, which is a Docker Desktop alternative optimized for performance.
Windows users may also need to install a 3rd-party package to run make
commands.
The easiest way to do that is via these instructions.
Getting Started#
First set up your Pegasus project with Docker enabled and using Postgres as a database following the getting started guide.
Enter the project directory#
cd {{ project_name }}
Run the initialization script#
make init
This will spin up a database, web worker, celery worker, and Redis broker and create and run your database migrations.
Note: users of older versions of Windows may need to install “make” separately to use it.
Alternatively, you can just inspect the Makefile
in the repository and run the commands manually
(e.g. docker compose up -d
).
Load server#
Visit http://localhost:8000/ in a browser and you should be up and running!
Using the Makefile#
Pegasus ships with a self-documenting Makefile
that will run common commands for you,
including starting your containers, performing database operations, and building your front end.
You can run make
to list helper functions, and you can view the source
of the Makefile
file in case you need to add to it or run any once-off commands.
For example, you can run management commands in containers using the same method
used in the Makefile
. E.g.
docker compose exec web python manage.py createsuperuser
Architecture and how it works#
Containers#
The Docker configuration is primarily in docker-compose.yml
.
There are four containers that start: a Postgres database, a Redis instance (for caching and use as a Celery broker), a web container running your Django process, and a Celery container for background jobs.
Settings#
The docker environment sets environment variables using the included .env
file.
The .env
file is automatically ignored by git, so you can put any additional secrets there.
It generally should not be checked into source control.
You can instead add variables to .env.example
to show what should be included.
Python environments#
The Python environment is run in the containers, which means you do not need to have your own local environment if you are always using Docker for development. Python requirements are automatically installed when the container builds.
However, keep in mind that if you go this route, you will need to run all commands inside the containers as per the instructions below.
Running once-off management commands#
Running commands on the server can be done using docker compose
, by following
the pattern used in the Makefile
.
For example, to bootstrap Stripe subscriptions, run:
docker compose exec web python manage.py bootstrap_subscriptions
Or to promote a user to superuser, run:
docker compose exec web python manage.py promote_user_to_superuser me@example.com
You can also use the make manage
command, passing in ARGS
like so:
make manage ARGS='promote_user_to_superuser me@example.com'
You can add any commonly used commands you want to custom.mk
for convenience.
Updating Python packages#
If you add or modify anything in your requirements.in
(and requirements.txt
) files, you will have to rebuild
your containers.
The easiest way to add new packages is to add them to requirements.in
and then run:
make requirements
Which will rebuild your requirements.txt
file, rebuild your Docker containers,
and then restart your app with the latest dependencies.
Debugging#
You can use debug tools like pdb
or ipdb
by enabling service ports.
This can be done by running your web container with the following:
docker compose run --service-ports web
If you want to set up debugging with PyCharm, it’s recommended to follow this guide on the topic.
Other Resources#
Dockerizing Django with Postgres, Gunicorn, and Nginx provides an overview of the setup, and has additional information about using Docker in production
Environment variables in Compose is a good resource on the different ways to work with environment variables in Docker