Backend for the NerFCFM project.

This is a basic implementation for the NerFCFM API, it does not consider many security settings. Use this only for testing.

• Django (REST Backend)
• Celery (Task Queue)
• Redis (Message Broker)

On a Linux Machine

1. Make sure to install Nerfstudio using conda

2. Clone this repository

3. Django setup

   # virtual environment setup
   virtualenv .venv
   source .venv/bin/activate
   pip install -r requirements.txt
   
   # migrations
   python manage.py makemigrations api
   python manage.py migrate
   
   # load initial data
   python manage.py load_nerfs
   python manage.py load_data_types

4. Redis Broker (use screen or new terminal)

   # Arch
   sudo pacman -S redis
   # Debian / Ubuntu
   sudo apt-get install redis
   
   # start redis server
   redis-server

5. Start Celery (use screen or new terminal)

   celery -A nerfcfm.celery worker --loglevel=info

6. Create .env file at root directory

   # if you want to test with nerf studio, set this to False
   USE_TEST_SCRIPT = True
   # test script will use a random value between these two
   MAX_TIME_SCRIPT = 100
   MIN_TIME_SCRIPT = 10

7. Run the API

   python manage.py runserver 8000