Sciunit_HydroShare_Implementation

This repository has the implementation for the sciunit and Hydroshare. It contains a python script to download and SCIUNIT and input data from hydroshare, run the model contained within the sciunit, and post the output back to hydroshare.

The sciunit folder contains some of the files in the sciunit. Build_modflow.py is the pre-processing data file. Workflow.sh is the script to run the the model with input data inside of the sciunit.

The templates folder contains the HTML template for the login page. Server.py is the flask script. The code uses Python Flask to trigger the processing of input files from Hydroshare. By sending an HTTP GET request with the Hydroshare ID of the input files it will download them and run the engine.

To setup this Python Flask webserver on an Ubuntu System follow the steps below:

First obtain the scripts from this repository:

git clone https://github.com/uva-hydroinformatics-lab/Sciunit_HydroShare_Implementation.git

On a fresh ubuntu instance install nginx, python, and gunicorn:

sudo apt-get install -y python python-pip nginx gunicorn

Install the required python packages:

pip install flask hs_restclient numpy fiona rasterio flopy

Setup Nginx:

sudo /etc/init.d/nginx start
sudo rm /etc/nginx/sites-enabled/default
sudo touch /etc/nginx/sites-available/flask_project
sudo ln -s /etc/nginx/sites-available/flask_project /etc/nginx/sites-enabled/flask_project 

Then edit the config file

sudo vim /etc/nginx/sites-enabled/flask_project

server {
  location / {
      proxy_pass http://localhost:8000;
      proxy_set_header Host $host;
      proxy_set_header X-Real-IP $remote_addr;
  }
}

Restart Nginx:

sudo /etc/init.d/nginx restart

Start the scrript using gunicorn:

cd Sciunit_HydroShare_Implementation
gunicorn app:app -b localhost:8000