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Local prototyping with Flask

Flask pacakge allows to simply run a Python script as a webservice. This can be easily done as illustrated below.

Setup instructions

  • Download Python 3.7.2 (or another Python version >= 3.6) from https://www.python.org/downloads/ and install it
  • Install required packages to create a web-service from your Python code
pip install flask
pip install flask_restful
pip install flask_cors
  • Install commonly used packages for scientific computing :
pip install numpy
pip install scipy

If you are behind a proxy, you might need to specify it. Example :

pip --proxy our-proxy:8082  install numpy

Simple template

Download this simple template and save it to template-python-ws.py file.

from flask import Flask, request
from flask_restful import Resource, Api
from flask_cors import CORS
import json
import numpy as np

app = Flask(__name__)
CORS(app)
api = Api(app)

class Test(Resource):

  def post(self):

    input = json.loads(request.data)
    A = input["A"]
    B = input["B"]
    sum = np.add(A,B)
    product = np.multiply(A,B)

    output = {
      "sum": sum.tolist(),
      "product" : product.tolist()
    }

    return output

api.add_resource(Test, '/basicVect')

if __name__ == '__main__':
    app.run(debug=True)

then run:

python template-python-ws.py

your server should be listening on localhost, port 5000.

xDash project

Open the following simple xDash project to test the python web-service.