mirror of
https://github.com/cookiecutter/cookiecutter-django.git
synced 2024-11-26 19:44:00 +03:00
115 lines
3.1 KiB
ReStructuredText
115 lines
3.1 KiB
ReStructuredText
Getting Up and Running with Docker
|
|
==================================
|
|
|
|
.. index:: Docker
|
|
|
|
The steps below will get you up and running with a local development environment.
|
|
All of these commands assume you are in the root of your generated project.
|
|
|
|
Prerequisites
|
|
-------------
|
|
|
|
You'll need at least docker 1.10.
|
|
|
|
If you don't already have it installed, follow the instructions for your OS:
|
|
|
|
- On Mac OS X/Windows, you'll need `Docker Toolbox`_
|
|
- On Linux, you'll need `docker-engine`_
|
|
.. _`Docker Toolbox`: https://github.com/docker/toolbox/releases
|
|
.. _`docker-engine`: https://docs.docker.com/engine/installation/
|
|
|
|
Create the Machine (Optional)
|
|
-----------------------------
|
|
|
|
On Linux you have native Docker, so you don't need to create a VM with
|
|
docker-machine to use it.
|
|
|
|
However, on Mac/Windows/other systems without native Docker, you'll want to
|
|
start by creating a VM with docker-machine::
|
|
|
|
$ docker-machine create --driver virtualbox dev1
|
|
|
|
**Note:** If you want to have more than one docker development environment, then
|
|
name them accordingly. Instead of 'dev1' you might have 'dev2', 'myproject',
|
|
'djangopackages', et al.
|
|
|
|
Get the IP Address
|
|
------------------
|
|
|
|
Once your machine is up and running, run this::
|
|
|
|
$ docker-machine ip dev1
|
|
123.456.789.012
|
|
|
|
This is also the IP address where the Django project will be served from.
|
|
|
|
Build the Stack
|
|
---------------
|
|
|
|
This can take a while, especially the first time you run this particular command
|
|
on your development system::
|
|
|
|
$ docker-compose -f dev.yml build
|
|
|
|
If you want to build the production environment you don't have to pass an argument -f, it will automatically use docker-compose.yml.
|
|
|
|
Boot the System
|
|
---------------
|
|
|
|
This brings up both Django and PostgreSQL.
|
|
|
|
The first time it is run it might take a while to get started, but subsequent
|
|
runs will occur quickly.
|
|
|
|
Open a terminal at the project root and run the following for local development::
|
|
|
|
$ docker-compose -f dev.yml up
|
|
|
|
You can also set the environment variable ``COMPOSE_FILE`` pointing to ``dev.yml`` like this::
|
|
|
|
$ export COMPOSE_FILE=dev.yml
|
|
|
|
And then run::
|
|
|
|
$ docker-compose up
|
|
|
|
Running management commands
|
|
~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
|
|
|
As with any shell command that we wish to run in our container, this is done
|
|
using the ``docker-compose run`` command.
|
|
|
|
To migrate your app and to create a superuser, run::
|
|
|
|
$ docker-compose -f dev.yml run django python manage.py migrate
|
|
$ docker-compose -f dev.yml run django python manage.py createsuperuser
|
|
|
|
Here we specify the ``django`` container as the location to run our management commands.
|
|
|
|
Production Mode
|
|
~~~~~~~~~~~~~~~
|
|
|
|
Instead of using `dev.yml`, you would use `docker-compose.yml`.
|
|
|
|
Other Useful Tips
|
|
-----------------
|
|
|
|
Make a machine the active unit
|
|
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
|
|
|
This tells our computer that all future commands are specifically for the dev1 machine.
|
|
Using the ``eval`` command we can switch machines as needed.
|
|
|
|
::
|
|
|
|
$ eval "$(docker-machine env dev1)"
|
|
|
|
Detached Mode
|
|
~~~~~~~~~~~~~
|
|
|
|
If you want to run the stack in detached mode (in the background), use the ``-d`` argument:
|
|
|
|
::
|
|
|
|
$ docker-compose -f dev.yml up -d
|