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.

Before installing, download and install Docker, Prolog, python, pip, virtualenv and Node.js.

Run main container storage:

docker run --name fuseki-data -v /fuseki busybox

Run main container, supply port (3030, recommended), password and container store:

docker run -e ADMIN_PASSWORD=[Password] -d --name fuseki -p 3030:3030 --volumes-from fuseki-data stain/jena-fuseki

Navigate to http:https://localhost:3030, select Manage Datasets, and create three new (persistent) datasets: drugs, transitions and beliefs.

Clone this repository:

git clone https://github.com/consult-kcl/drug-interaction

Change into the backend directory:

cd backend

Clone the TMR repository:

git clone [email protected]:big/tmr.git

Enter Prolog environment:

swipl

Load server:

?- consult('server.pl').

Start server on a given port (1234, recommended):

?- server(1234).

From within the backend folder, create a node virtual environment (within a python virtual environment), and activate it:

virtualenv env
. env/bin/activate
pip install nodeenv
nodeenv nenv
. nenv/bin/activate

Install dependencies:

cat requirements.txt | xargs npm install -g

Run server:

npm started

See documentation.

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

We use SemVer for versioning. For the versions available, see the tags on this repository.

Produced as part of the CONSULT project.

This project is licensed under the MIT License - see the LICENSE.md file for details.