This is the frontend of the MES-CoBraD Data Analytics and Visualisation Module
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.
Nodejs - 16.14.2
Webstorm IDE
Docker
- Install NodeJS
- (Optional) Install Webstorm
- (Optional) Install latest version of docker (current ver.4.26.1)
- Clone this repository
- Webstorm IDE
- Get from VCS - Github - Select this repository
- cmd
git clone https://github.com/mescobrad-project/data-analytics-and-visualisation-frontend.git
- Webstorm IDE
- Install dependencies
npm install
- Webstorm IDE
```
Edit configuraiton -> main.py
```
- CMD
```
npm start
```
- Docker
```
Follow docker deployement instructions below
```
- WIP
- Prerequisites
```
Docker
```
- Clone latest branch: 'dev'
- Start docker of all modules using the docker compose file found in project location 'data-analytics-and-visualisation-frontend/docker/'
```
docker compose up -d --build
```
- Prerequisites
```
Docker
```
- Clone latest branch: 'prod_new'
- Start docker of all modules using the docker compose file found in project location 'data-analytics-and-visualisation-frontend/docker/
Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.
Not currently following any including semver - will try to follow it.
- George Doukas - Dev - gd180
- Michael Kontoulis - Dev - Mikailo
- Loukas Ilias - Dev - loukasilias
- Theodoros Pountisis - Dev - Mikailo
- George Ladikos - Dev - Mikailo
- Christodoulos Santorinaios - Former Dev - csantor
See also the list of contributors who participated in this project.
This project is licensed under the MIT License - see the LICENSE.md file for details