HoverPy speeds up and simplifies Python development and testing that involves downstream HTTP / HTTPS services. It does so by using a high-performance Go caching proxy to capture, simulate, modify and synthesize network traffic.

from hoverpy import capture , simulate import requests @capture ( "requests.db" ) def captured_get (): print ( requests . get ( "http://time.jsontest.com" ) . json ()) @simulate ( "requests.db" ) def simulated_get (): print ( requests . get ( "http://time.jsontest.com" ) . json ()) captured_get () simulated_get ()

This grants several benefits:

Increased development speed

Increased test speed

Ability to work offline

A deterministic test environment

Ability to modify traffic

Ability to sythesize traffic

Ability to simulate network latency

from hoverpy import simulate , modify import requests @simulate ( "requests.db" , delays = [( "time.json.com" , 1000 )]) def simulated_latency (): print ( requests . get ( "http://time.jsontest.com" ) . json ()) @modify ( middleware = "python middleware.py" ) def modified_request (): print ( requests . get ( "http://time.jsontest.com" ) . json ()) simulated_latency () modified_request ()

If/when the downstream service you are testing against changes, then you can simply delete your db file, and capture the test results again. Or you could have versioned db files for services that use versioning.

HoverPy uses Hoverfly a Service Virtualisation server written in GoLang. For this reason it is rock solid in terms of speed and reliability.

Library Support¶ HoverPy works great with the following HTTP clients out of the box: Tornado

Twisted

requests

urllib2eg

urllib3eg

soap

etc. Since HoverPy can act as a proxy or a reverse proxy, it can easily be made to work with any networking library or framework.