# Django Web expe ## Description Web site which contains experimentss on synthesis images (perception of noise). ## Installation ### 1. Manually #### Requirements You need to have python, pip ``` pip install -r requirements.txt ``` Initialize the database with the following command : ``` python manage.py migrate ``` Add your own super user admin credentials: ``` cp credentials.example.json credentials.json ``` ```json { "username":"username", "email":"", "password":"pass" } ``` #### Run server Run the server : ``` python manage.py runserver ``` or if you want to make it listen on a specific port number : ``` python manage.py runserver 8080 ``` ### 2. Using docker (recommended) First, you need to add your own user admin credentials if you wished: ``` cp credentials.example.json credentials.json ``` You can use make commands: ``` make build ``` ``` make run ``` Or simply: ``` make deploy ``` Will run `build` and `run` commands at once. You also have `stop`, `remove`, `clean` commands: - `stop`: stop current container instance if exists - `remove`: stop and remove container instance if exists - `clean`: remove docker image if exists ## Configuration Create your own admin user: ``` python manage.py createsuperuser ``` You can now access `/admin/results` route with your credentials in order to download experiments results.
Configure your own URL prefix using `WEBEXPE_PREFIX_URL`: ``` WEBEXPE_PREFIX_URL=experiments python manage.py runserver ``` or using docker: ``` WEBEXPE_PREFIX_URL=experiments make deploy ```
Using custom API base URL using `WEB_API_PREFIX_URL`: ``` WEBEXPE_PREFIX_URL=experiments/ WEB_API_PREFIX_URL=expe/api python manage.py runserver ``` or using docker: ``` WEBEXPE_PREFIX_URL=experiments/ WEB_API_PREFIX_URL=expe/api make deploy ``` ## Create your experimentss See [DOCUMENTATION.md](DOCUMENTATION.md). This documentation explains how to create your own experiments. ## How to contribute ? This project uses [git-flow](https://danielkummer.github.io/git-flow-cheatsheet/) to improve cooperation during the development. For each feature, you have to create a new git flow feature branch. ## Licence [MIT](LICENSE)