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CARE Dashboard


This is the code repository for the widget dashboard for use by CARE. This document, along with the documents in doc/, aim to explain the development environment, technical decisions, design decisions, and code layout of this project.


To set-up the build environment, you will need:

  • python2 >= 2.4
  • pip
  • virtualenv (can be installed via pip: pip install virtualenv)

The remaining dependencies are described in the requirements.txt, and are automatically downloaded into a sandbox by virtualenv and pip.

Setting up the development environment

Clone the repository with git:

$ git clone
Cloning into 'care-dashboard'...

First, we will create the virtualenv (sandbox) in the env folder:

$ cd care-dashboard/
$ virtualenv -p python env/
Running virtualenv with interpreter /usr/bin/python2
New python executable in env/bin/python2
Also creating executable in env/bin/python
Installing setuptools............................done.
Installing pip...............done.

On some systems (Arch Linux, for example), the python binary (specified by the -p flag) for python 2.x is python2 instead of python.

Then we activate the virtualenv:

$ . env/bin/activate
(env) $

Next, we install the dependencies for the project:

(env) $ pip install -r requirements.txt

Now, with the virtualenv activated, we can setup the development SQLite3 database:

(env) $ cd dashboard/
(env) $ python syncdb
Creating tables ...
Creating table auth_permission
Creating table auth_group_permissions
Creating table auth_group

You will also be prompted to create a superuser, which will let you log in. You can also create a superuser manually with:

(env) $ python createsuperuser
Username (Leave blank to use 'ankit'): 

Finally, you can run the server with:

(env) $ python runserver

By default, the application can be accessed at http://localhost:8000/.

Adding a feature

For details on how to add a new feature, look at ./doc/

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