noisegenerator.py

#!/usr/bin/env python3

import cherrypy
import random

class Root(object):
    def index(self):
        cherrypy.response.headers['Content-Type'] = 'text/plain'
        def noise():
            while True:
                a = []
                for i in range(1024):
                    a.append(chr(random.randint(0, 255)))
                yield ''.join(a)
        return noise()
    index._cp_config = {'response.stream': True}
    index.exposed = True

cherrypy.quickstart(Root())