Single page web application, using Django 1.8, Django Rest framework and angularJS.

Demo: http://djang.s3-website-us-west-2.amazonaws.com/

Uses Django 1.8.4, and the requirements are specified in the requirements.txt file

Uses PostgresSQL. An empty Database is required to run migrations.

To configure Database set the Enviroment variable DATABASE_URL. For example:

export DATABASE_URL=postgres://example_user:password@localhost:5432/todolist

python manage.py migrate

python manage.py runserver

The API application will run in http://localhost:8000

python manage.py test

Front-end application is located in the folder "front". In order to get it running you need to have previously installed NODEJS. Then you can install the dependencies:

cd front/
npm -g install bower
npm install

Set API URL You need to define the enviroment variable API_URL with the value of the URL of the API:

export API_URL=http://localhost:8000

This variable is updated on the task to run development server or before the build.

grunt serve

grunt build

grunt deploy

Environment variables required from the AWS S3 Bucket: AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_STORAGE_BUCKET_NAME

npm test

The API application can be deployed using Docker. The specifications are in the file docker-compose.yml

System requirements for Debian based servers: requirements.apt

Python requirements: requirements.txt

In order to run this application in production. The following environment variables need to be defined:

DJANGO_SETTINGS_MODULE DJANGO_SECRET_KEY DJANGO_ALLOWED_HOSTS DJANGO_AWS_ACCESS_KEY_ID DJANGO_AWS_SECRET_ACCESS_KEY DJANGO_AWS_STORAGE_BUCKET_NAME DJANGO_DATABASE_URL

It was succesfully tested and mounted on AWS using Python Virtualenv, UWSGI and NGINX.

The used services were: Amazon EC2 Amazon RDS PostgresSQL Amazon S3

API Application: http://ec2-52-89-73-25.us-west-2.compute.amazonaws.com/

FRONT-END Application: http://djang.s3-website-us-west-2.amazonaws.com/