Skip to content

thelastnode/care-dashboard

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

39 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

CARE Dashboard

Introduction

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.

Dependencies

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 git@github.com:thelastnode/care-dashboard.git
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 manage.py 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 manage.py createsuperuser
Username (Leave blank to use 'ankit'): 
...

Finally, you can run the server with:

(env) $ python manage.py 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/feature.md

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published