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This personal cookiecutter template is a framework for jumpstarting production-ready Django projects quickly.

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Cookiecutter Django

Powered by Cookiecutter_, this personal fork of Cookiecutter Django_ is my base framework for jumpstarting production-ready Django projects quickly.

Features

  • For Django 3.0.5
  • Works with Python 3.8
  • Renders Django projects with 100% starting test coverage
  • Twitter Bootstrap v4
  • 12-Factor based settings via django-environ
  • Secure by default. We believe in SSL.
  • Optimized development and production settings
  • Registration via django-allauth
  • Comes with custom user model ready to go
  • Optional custom static build using Gulp and livereload
  • Send emails via Anymail (using Mailgun by default, but switchable)
  • Media storage using Amazon S3 or Google Cloud Storage
  • Docker support using docker-compose for development and production (using Traefik with LetsEncrypt support)
  • Procfile for deploying to Heroku
  • Instructions for deploying to PythonAnywhere
  • Run tests with unittest or pytest
  • Customizable PostgreSQL version
  • Default integration with pre-commit for identifying simple issues before submission to code review

Optional Integrations

These features can be enabled during initial project setup.

  • Serve static files from Amazon S3, Google Cloud Storage or Whitenoise
  • Configuration for Celery and Flower (the latter in Docker setup only)
  • Integration with MailHog for local email testing
  • Integration with Sentry for error logging

Constraints

  • Only maintained 3rd party libraries are used.
  • Uses PostgreSQL everywhere (9.4 - 11.3)
  • 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>=1.4.0"

Now run it against this repo:

$ cookiecutter https://github.com/martharotter/cookiecutter-django

You'll be prompted for some values. Provide them, then a Django project will be created for you.

Warning: After this point, change 'Martha Rotter', 'martharotter', etc to your own information.

Answer the prompts with your own desired options_. For example:

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
project_slug [reddit_clone]: reddit
author_name [Martha Rotter]: Martha Rotter
email [[email protected]]: [email protected]
description [Behold My Awesome Project!]: A reddit clone.
domain_name [example.com]: myreddit.com
version [0.1.0]: 0.0.1
timezone [UTC]: Europe/Dublin
use_whitenoise [n]: n
use_celery [n]: y
use_mailhog [n]: n
use_sentry [n]: y
use_pycharm [n]: y
windows [n]: n
use_docker [n]: n
use_heroku [n]: y
use_compressor [n]: y
Select postgresql_version:
1 - 11.3
2 - 10.8
3 - 9.6
4 - 9.5
5 - 9.4
Choose from 1, 2, 3, 4, 5 [1]: 1
Select js_task_runner:
1 - None
2 - Gulp
Choose from 1, 2 [1]: 1
Select cloud_provider:
1 - AWS
2 - GCP
3 - None
Choose from 1, 2, 3 [1]: 1
custom_bootstrap_compilation [n]: n
Select open_source_license:
1 - MIT
2 - BSD
3 - GPLv3
4 - Apache Software License 2.0
5 - Not open source
Choose from 1, 2, 3, 4, 5 [1]: 1
keep_local_envs_in_vcs [y]: y
debug[n]: n

Enter the project and take a look around:

$ cd reddit/
$ ls

Create a git repo and push it there:

$ git init
$ git add .
$ git commit -m "first awesome commit"
$ git remote add origin [email protected]:martharotter/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?

Code of Conduct

Everyone interacting in the Cookiecutter project's codebases, issue trackers, chat rooms, and mailing lists is expected to follow the PyPA Code of Conduct.

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This personal cookiecutter template is a framework for jumpstarting production-ready Django projects quickly.

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