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Short Description
Base image for cookiecutter-django
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cookiecutter-django

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A cookiecutter_ template for Django.

.. _cookiecutter: https://github.com/audreyr/cookiecutter

Features

  • For Django 1.8
  • Renders Django projects with 100% test coverage
  • Twitter Bootstrap_ 3
  • End-to-end via Hitch_
  • AngularJS_
  • 12-Factor based settings via django-environ
  • Optimized development and production settings
  • Registration via django-allauth_
  • Procfile_ for deploying to Heroku
  • Works great with Dokku
  • Grunt build for compass and livereload
  • Basic e-mail configurations for sending emails via Mailgun_
  • Media storage using Amazon S3
  • Serve static files from Amazon S3 or Whitenoise_ (optional)
  • Pre configured Celery_ (optional)
  • Integration with Maildump_ for local email testing (optional)
  • Integration with Sentry_ for error logging (optional)
  • Docker support using docker-compose_ for dev (with debug) and prod (optional)
  • PyCharm "Run/Debug Configurations" for django, grunt and docker (optional)

.. _Hitch: https://github.com/hitchtest/hitchtest
.. _Bootstrap: https://github.com/twbs/bootstrap
.. _AngularJS: https://github.com/angular/angular.js
.. _django-environ: https://github.com/joke2k/django-environ
.. _12-Factor: http://12factor.net/
.. _django-allauth: https://github.com/pennersr/django-allauth
.. _django-avatar: https://github.com/jezdez/django-avatar/
.. _Procfile: https://devcenter.heroku.com/articles/procfile
.. _Mailgun: https://mailgun.com/
.. _Whitenoise: https://whitenoise.readthedocs.org/
.. _Celery: http://www.celeryproject.org/
.. _Maildump: https://github.com/ThiefMaster/maildump
.. _Sentry: https://getsentry.com
.. _docker-compose: https://www.github.com/docker/compose

Constraints

  • Only maintained 3rd party libraries are used.
  • PostgreSQL everywhere (9.0+)
  • Environment variables for configuration (This won't work with Apache/mod_wsgi).

Usage

Let's pretend you want to create a Django project called "redditclone". Rather than using startproject
and then editing the results to include your name, email, and various configuration issues that always get forgotten until the worst possible moment, get cookiecutter_ to do all the work.

First, get cookiecutter. Trust me, it's awesome::

$ pip install cookiecutter

Now run it against this repo::

$ cookiecutter https://github.com/pydanny/cookiecutter-django.git

You'll be prompted for some questions, answer them, then it will create a Django project for you.

Warning: After this point, change 'Daniel Greenfeld', 'pydanny', etc to your own information.

It prompts you for questions. Answer them::

Cloning into 'cookiecutter-django'...
remote: Counting objects: 550, done.
remote: Compressing objects: 100% (310/310), done.
remote: Total 550 (delta 283), reused 479 (delta 222)
Receiving objects: 100% (550/550), 127.66 KiB | 58 KiB/s, done.
Resolving deltas: 100% (283/283), done.
project_name (default is "project_name")? Reddit Clone
repo_name (default is "Reddit_Clone")? reddit
author_name (default is "Your Name")? Daniel Greenfeld
email (default is "Your email")? pydanny@gmail.com
description (default is "A short description of the project.")? A reddit clone.
domain_name (default is "example.com")? myreddit.com
version (default is "0.1.0")? 0.0.1
timezone (default is "UTC")?
now (default is "2015/01/13")? 2015/01/16
year (default is "2015")?
use_whitenoise (default is "y")?

Enter the project and take a look around::

$ cd redditclone/
$ ls

Create a GitHub repo and push it there::

$ git init
$ git add .
$ git commit -m "first awesome commit"
$ git remote add origin git@github.com:pydanny/redditclone.git
$ git push -u origin master

Now take a look at your repo. Don't forget to carefully look at the generated README. Awesome, right?

Getting up and running

The steps below will get you up and running with a local development environment. We assume you have the following installed:

  • pip
  • virtualenv
  • PostgreSQL

First make sure to create and activate a virtualenv_, then open a terminal at the project root and install the requirements for local development::

$ pip install -r requirements/local.txt

.. _virtualenv: http://docs.python-guide.org/en/latest/dev/virtualenvs/

Then, create a PostgreSQL database and add the database configuration using the dj-database-url app pattern: postgres://db_owner:password@dbserver_ip:port/db_name either:

  • in the config.settings.common.py setting file,
  • or in the environment variable DATABASE_URL

You can now run the usual Django migrate and runserver command::

$ python manage.py migrate

$ python manage.py runserver

Live reloading and Sass CSS compilation

If you'd like to take advantage of live reloading and Sass / Compass CSS compilation you can do so with the included Grunt task.

Make sure that nodejs_ is installed. Then in the project root run::

$ npm install

.. _nodejs: http://nodejs.org/download/

Now you just need::

$ grunt serve

The base app will now run as it would with the usual manage.py runserver but with live reloading and Sass compilation enabled.

To get live reloading to work you'll probably need to install an appropriate browser extension_

.. _appropriate browser extension: http://feedback.livereload.com/knowledgebase/articles/86242-how-do-i-install-and-use-the-browser-extensions-

It's time to write the code!!!

Getting up and running using docker

The steps below will get you up and running with a local development environment. We assume you have the following installed:

  • docker
  • docker-compose

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

If you want to connect to python interpreter inside docker container with remote debbuger, you have to run different
container with debug.yml (dev.yml has to be build first)::

$ docker-compose -f dev.yml build; docker-compose -f debug.yml up

See docker remote debugging instructions <{{cookiecutter.repo_name}}/docs/docker_remote_debugging.rst>_ for particular IDE (PyCharm, etc).

To migrate your app and to create a superuser, run::

$ docker-compose run django python manage.py migrate

$ docker-compose run django python manage.py createsuperuser

If you are using boot2docker to develop on OS X or Windows, you need to create a /data partition inside your boot2docker
vm to make all changes persistent. If you don't do that your /data directory will get wiped out on every reboot.

To create a persistent folder, log into the boot2docker vm by running::

$ bootdocker ssh

And then::

$ sudo su
$ echo 'ln -sfn /mnt/sda1/data /data' >> /var/lib/boot2docker/bootlocal.sh

In case you are wondering why you can't use a host volume to keep the files on your mac: As of boot2docker 1.7 you'll
run into permission problems with mounted host volumes if the container creates his own user and chowns the directories
on the volume. Postgres is doing that, so we need this quick fix to ensure that all development data persists.

For Readers of Two Scoops of Django 1.8

You may notice that some elements of this project do not exactly match what we describe in chapter 3. The reason for that is this project, amongst other things, serves as a test bed for trying out new ideas and concepts. Sometimes they work, sometimes they don't, but the end result is that it won't necessarily match precisely what is described in the book I co-authored.

"Your Stuff"

Scattered throughout the Python and HTML of this project are places marked with "your stuff". This is where third-party libraries are to be integrated with your project.

Releases

Want a stable release? You can find them at https://github.com/pydanny/cookiecutter-django/releases

Not Exactly What You Want?

This is what I want. It might not be what you want. Don't worry, you have options:

Fork This


If you have differences in your preferred setup, I encourage you to fork this to create your own version.
Once you have your fork working, let me know and I'll add it to a '*Similar Cookiecutter Templates*' list here.
It's up to you whether or not to rename your fork.

If you do rename your fork, I encourage you to submit it to the following places:

* cookiecutter_ so it gets listed in the README as a template.
* The cookiecutter grid_ on Django Packages.

.. _cookiecutter: https://github.com/audreyr/cookiecutter
.. _grid: https://www.djangopackages.com/grids/g/cookiecutters/

Or Submit a Pull Request
~~~~~~~~~~~~~~~

I also accept pull requests on this, if they're small, atomic, and if they make my own project development
experience better.

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cookiecutterdjango
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