dotkrnl / rabot

learning by programing a rabbit, a project for SE course

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RaBot -- Learning by coding a rabbit!

RaBot is a project aiming at creating a vivid and interactive environment for children to learn computer programming, it's also our project for the course and it might be used by JiSuanKe.com for further development.

Details

The programming language children use to control the rabbit will be CoffeeScript (or something based on it). Users need to program their rabbit to accomplish various tasks, and finally let them eat carrots~

Build the frontend

Make sure you have the followings installed: npm, grunt-cli, bower (Remember to use npm -g to perform a global installation) In addition, install Ruby and gem to install sass

Use the following commands to build:

npm install

npm run build

Use the following command to serve the frontend:

npm run server

This will run a web server at port 9000, and it will contact with backend server via reverse proxy at port 8000.

Test backend server

Django support both Python2 and Python3. You can deploy the server in a virtualenv, note the folder name need to be venv.

Note that if you don't work in a virtualenv, ./manage.py will not work for you. Use python manage.py instead.

Use the following commands to install python dependencies:

cd backend

pip install -r requirements.txt

Use the following command to run the development server:

python manage.py runserver

Adding stages and users

Currently, there is no interface yet to register or adding a stage, but Django management script is used to add some built-in users and stages. To perform them use:

python manage.py addstages

python manage.py addusers (not implemented)

Unit Tests

Frontend

Frontend unit tests is accomplish via jest, You can run test, use:

npm run test

Backend

Backend unit tests is based-on Django's unit test module (which is a wrapper of python's unittest module).

Team members

  • 廖亦阳
  • 梁泽宇
  • 刘家昌
  • 谭思楠

About

learning by programing a rabbit, a project for SE course


Languages

Language:CoffeeScript 65.7%Language:Python 22.3%Language:HTML 5.7%Language:CSS 5.5%Language:JavaScript 0.8%