This repository is meant to demonstrate the use of Flask and Angular to build a simple, but state-of-the-art, web application which can be used for POCs. Read the corresponding Medium article here.
First fork or clone this repo:
e.g. git clone https://github.com/delsner/flask-angular-data-science.git
After cloning the repository go inside the project folder:
cd flask-angular-data-science
Run docker-compose up which will start a Flask web application for the backend API (default port 8081) and an Angular frontend served through a webpack development web server (default port 4200).
In your browser navigate to: http://localhost:4200 (or whatever port you defined for the frontend in docker-compose.yml).
For testing your backend API I recommend using Postman.
I highly recommend the use of docker and docker-compose as it is far simpler to get started than to run all of the following manually.
Navigate inside the backend directory: cd backend
Install pip dependencies: pip install -r requirements.txt
Run python app.py in backend root (will watch files and restart server on port 8081 on change).
Navigate inside the frontend directory: cd frontend
Assure you have Nodejs, Yarn and the angular-cli installed.
Install npm dependencies: yarn install --pure-lockfile
Run yarn start in frontend root (will watch files and restart dev-server on port 4200 on change).
All calls made to /api will be proxied to backend server (default port for backend 8081), this can be changed in proxy.conf.json.