A polls application for Individual Software Process course at Kasetsart University.

This application is for conducting a poll or survey, written in Python using Django. It is based on the Django Tutorial project, and adds additional functionality.

Home Page
Voting Page

Requires Python 3.8 or newer. Required Python packages are listed in requirements.txt.

See Installation in the project wiki.

Brief Instructions:

1. Copy sample.env to .env and edit the settings.
2. Create a virtualenv: python -m venv env
   • Or create it using the virtualenv extension: virtualenv env
3. Activate the virtualenv and run pip install -r requirements.txt
4. Perform migrations and create a database: python manage.my migrate
5. Add polls and users to the database: python manage.py loaddata polls users

1. Start the server in the virtual env.

   # Activate the virtual env on Linux and MacOS
   source env/bin/activate
   # Or, on MS Windows:
   env\Scripts\activate
   
   # run the django server
   python3 manage.py runserver
   

   This starts a web server listening on port 8000.

2. You should see this message printed in the terminal window:

   Starting development server at http://127.0.0.1:8000/
   Quit the server with CONTROL-C.
   

   If you get a message that the port is unavailable, then run the server on a different port (1024 thru 65535). For example:

   python3 manage.py runserver 12345
   

3. In a web browser, navigate to http://localhost:8000

4. To stop the server, press CTRL-C in the terminal window. Then exit the virtualenv by closing the window or typing:

   deactivate
   

Sample polls and users data are included. There are 4 demo accounts:

• demo1 password Hackme1
• demo2 password Hackme2
• demo3 password Hackme3
• demo4 password Hackme4

You can create more user accounts using the script makeusers.py. See instructions in the script.

All project-related documents are in the Project Wiki

Vision Statement

Requirements

• Development Plan

• Iteration 1 Plan and Task Board

• Iteration 2 Plan and Task Board

• Iteration 3 Plan