cookiecutter-django/docs/developing-locally-docker.rst
2016-06-13 08:40:48 -07:00

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Getting Up and Running Locally 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`.
Database Backups
~~~~~~~~~~~~~~~~
The database has to be running to create/restore a backup.
First, run the app with `docker-compose -f dev.yml up`.
To create a backup, run::
docker-compose -f dev.yml run postgres backup
To list backups, run::
docker-compose -f dev.yml run postgres list-backups
To restore a backup, run::
docker-compose -f dev.yml run postgres restore filename.sql
To copy the files from the running Postgres container to the host system::
docker cp <containerId>:/backups /host/path/target
Where <containerId> is the ID of the Postgres container. To get it, run::
docker ps
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
Debugging
~~~~~~~~~~~~~
ipdb
"""""
If you are using the following within your code to debug:
::
import ipdb; ipdb.set_trace()
Then you may need to run the following for it to work as desired:
::
$ docker-compose run -f dev.yml --service-ports django
django-debug-toolbar
""""""""""""""""""""
In order for django-debug-toolbar to work with docker you need to add your docker-machine ip address (the output of `Get the IP ADDRESS`_) to INTERNAL_IPS in local.py
.. May be a better place to put this, as it is not Docker specific.
You may need to add the following to your css in order for the django-debug-toolbar to be visible (this applies whether Docker is being used or not):
.. code-block:: css
/* Override Bootstrap 4 styling on Django Debug Toolbar */
#djDebug[hidden], #djDebug [hidden] {
display: block !important;
}
#djDebug [hidden][style='display: none;'] {
display: none !important;
}
Using the Mailhog Docker Container
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In development you can (optionally) use MailHog_ for email testing. If you selected `use_docker`, MailHog is added as a Docker container. To use MailHog:
1. Make sure, that ``mailhog`` docker container is up and running
2. Open your browser and go to ``http://127.0.0.1:8025``
.. _Mailhog: https://github.com/mailhog/MailHog/