NHS Federated ML appliation

Requisites

CI/CD	Python	Federated ML

• Docker | * Python 3.6 | * Tensorflow

Development

For using both server and client side in development run both concurrently (in different terminals).

Running client

Worklfow is the same for windows and unix

Install (first time)

1. Install node.js
2. Install 'nodemon' globally. It is package enabling live-reload of the client server.

   npm install -g nodemon
   

3. Install all node dependencies

   cd client
   npm install
   

Run

cd client
nodemon start

Running server

Install (first time)

Create virtual environment and install dependencies.

Install Docker on your machine

Unix

python3 -m venv flaskenv
source flaskenv/bin/activate
pip install -r requirements.txt

PowerShell

py -3 -m venv flaskenv
flaskenv\Scripts\activate
pip install -r requirements.txt

Run

Unix

docker-compose up
source flaskenv/bin/activate
export FLASK_APP=app.py
export FLASK_ENV=development
flask run

PowerShell

Run .\runApp.ps1 or:

docker-compose up
flaskenv\Scripts\activate
$env:FLASK_APP = "app.py"
$env:FLASK_ENV = "development"
flask run

Once you finish working on the project, run docker-compose down to stop the Docker container with local database.

Project contributors:

Marta Smigielska, Davinder Bassan, Najat Baqadir, Sam Xu, Yiren Zhang, Roman Matios, Wojciech Golaszewski

iOS	Android	Backend
Davinder Bassan	Sam Xu	Marta Smigielska
Najat Baqadir	Yiren Zhang	Wojciech Golaszewski
		Roman Matios