AMQP based worker/master pattern framework
Project description
AMQP based RPC library for Tornado
Use cases
Task queue
Load balancing for different CPU-bound HTTP handlers
… other systems which involve RPC
Installation
pip install crew
Example
See the full example.
Usage
For example create your first app, and save as master.py:
import tornado.ioloop
import tornado.gen
import tornado.web
import tornado.log
import json
import tornado.options
from crew import TimeoutError, ExpirationError
from crew.master.tornado import Client
class MainHandler(tornado.web.RequestHandler):
@tornado.gen.coroutine
def get(self):
resp = yield self.settings['crew'].call(None, priority=100)
self.write(json.dumps(resp))
cl = Client()
application = tornado.web.Application(
[
(r"/", MainHandler),
],
crew=cl,
autoreload=True,
debug=True,
)
if __name__ == "__main__":
cl.connect()
tornado.options.parse_command_line()
application.listen(8888)
tornado.ioloop.IOLoop.instance().start()
And create your first task, and save as worker.py:
# encoding: utf-8
from crew.worker import run, context, Task
@Task('test')
def long_task(req):
context.settings.counter += 1
return {"counter": context.settings.counter}
run(
counter=0
)
After that run it:
$ python master.py & $ python worker.py & $ wait
Try to test it:
$ curl http://localhost:8888/
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