azure function python

#VS Code

import logging
import json
import azure.functions as func


def main(req) -> str:
    logging.info('Python HTTP trigger function processed a request.')
    #req_body = req.get_json()
    req_body = req.get_body().decode(encoding='UTF-8')
    req_body = json.loads(req_body)
    x = req_body['x']
    y = req_body['y']
    p_xy = req_body['p_xy']
    p_y = req_body['p_y']
    
    y = p_xy*x + p_y*y
    response = {'y':y}
    json_response = json.dumps(response)
    logging.info(json_response)
    return json_response



#Google Colab

import networkx as nx
import matplotlib.pyplot as plt
import requests
import json

N = 100
G = nx.DiGraph()

G.add_node('x')
G.add_node('y')
G.add_edge('x', 'y')

G.nodes['x']['concentration'] = 10
x_conc = G.nodes['x']['concentration']
G.nodes['y']['concentration'] = 0
y_conc = G.nodes['y']['concentration']
p_xy = 0.2
p_y = 0.8

url = 'https://azurefunctionpythonyshin.azurewebsites.net/api/HttpTrigger1?'
for i in range(1,N):
  request_body = {"x": x_conc, "y": y_conc, "p_xy": p_xy, "p_y": p_y}
  response = requests.post(url, data = json.dumps(request_body))
  print (response)
  response_body = response.json()
  y_conc = response_body['y']
  print (y_conc)
nx.draw(G, with_labels=1)
plt.show()