Asynchronous Python HTTP for Humans.
Project description
Asynchronous Python HTTP Requests for Humans
Small add-on for the python requests http library. Makes use twisted’s ThreadPool, so that the requests’API returns deferred
The additional API and changes are minimal and strives to avoid surprises.
The following synchronous code:
from requests import Session
session = Session()
# first requests starts and blocks until finished
response_one = session.get('http://httpbin.org/get')
# second request starts once first is finished
response_two = session.get('http://httpbin.org/get?foo=bar')
# both requests are complete
print('response one status: {0}'.format(response_one.status_code))
print(response_one.content)
print('response two status: {0}'.format(response_two.status_code))
print(response_two.content)
Can be translated to make use of futures, and thus be asynchronous by creating a FuturesSession and catching the returned Future in place of Response. The Response can be retrieved by calling the result method on the Future:
from txrequests import Session
@defer.inlineCallbacks
def main():
# use with statement to cleanup session's threadpool, and connectionpool after use
# you can also use session.close() if want to use session for long term use
with Session() as session:
# first request is started in background
d1 = session.get('http://httpbin.org/get')
# second requests is started immediately
d2 = session.get('http://httpbin.org/get?foo=bar')
# wait for the first request to complete, if it hasn't already
response_one = yield d1
print('response one status: {0}'.format(response_one.status_code))
print(response_one.content)
# wait for the second request to complete, if it hasn't already
response_two = yield d2
print('response two status: {0}'.format(response_two.status_code))
print(response_two.content)
By default a ThreadPool is created with 4 max workers. If you would like to adjust that value or share a threadpool across multiple sessions you can provide one to the Session constructor.
from twisted.python.threadpool import ThreadPool
from txrequests import Session
session = FuturesSession(pool=ThreadPool(maxthreads=10))
# ...
As a shortcut in case of just increasing workers number you can pass minthreads and/or maxthreads straight to the Session constructor:
from txrequests import Session
session = Session(maxthreads=10)
That’s it. The api of requests.Session is preserved without any modifications beyond returning a Deferred rather than Response. As with all futures exceptions are shifted to the deferred errback.
Working in the Background
There is one additional parameter to the various request functions, background_callback, which allows you to work with the Response objects in the background thread. This can be useful for shifting work out of the foreground, for a simple example take json parsing.
from pprint import pprint
from txrequests import Session
@defer.inlineCallbacks
def main()
with Session() as session:
def bg_cb(sess, resp):
# parse the json storing the result on the response object
resp.data = resp.json()
return resp
d = session.get('http://httpbin.org/get', background_callback=bg_cb)
# do some other stuff, send some more requests while this one works
response = yield d
print('response status {0}'.format(response.status_code))
# data will have been attached to the response object in the background
pprint(response.data)
Installation
pip install txrequests
Credits
txrequests is based on requests_future, from Ross McFarland
Project details
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