Cookiecutter Django is a framework for jumpstarting production-ready Django projects quickly.
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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_ v4.0.0 - alpha_
* End-to-end via Hitch_
* AngularJS_
* 12-Factor_ based settings via django-environ_
* Optimized development and production settings
* Registration via django-allauth_
* 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 and prod
* Procfile_ for deploying to Heroku
* Works with Dokku

.. _alpha: http://blog.getbootstrap.com/2015/08/19/bootstrap-4-alpha/
.. _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 [project_name]: Reddit Clone
    repo_name [Reddit_Clone]: reddit
    author_name [Your Name]: Daniel Greenfeld
    email [Your email]: pydanny@gmail.com
    description [A short description of the project.]: A reddit clone.
    domain_name [example.com]: myreddit.com
    version [0.1.0]: 0.0.1
    timezone [UTC]: 
    now [2015/01/13]: 2015/08/30
    year [2015]: 
    use_whitenoise [y]: n
    use_celery [n]: y
    use_maildump [n]: y
    use_sentry [n]: y
    windows [n]:


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


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 `chown`s 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.