PyAsynch 1.2.2

Python asynch distributed and scalable Queue Services

PyAsynch

PyAsynch is a package to create distributed Python Services through RabbitMQ.

The services talk each other through a common RabbitMQ queue and expose the service also as HTTP Tornado Server

How to use it

pip install pyasynch

or

pip3 install pyasynch

or just clone the git repo.

Create your custom node

from pyasynch.node import Node

class MyNode(Node):

    def mymethod(self,arg1,arg2,**kwargs):
        return {'myproperty':'myvalue'}

    def mysecondmethod(self,myproperty,**kwargs):
        return {}   

Create the configuration file (e.g. myconfig.json)

{
  "endpoint": {
    "amqp": "amqp://guest:guest@127.0.0.1:5672/pyasynch",
    "id": "myendpoint",
    "threaded": false
  }
}

Create the routing file (e.g. myroutes.json)

{
 "routes": {
    "pyasynch://myendpoint/mynode/mymethod" : ["pyasynch://myendpoint/mynode/mysecondmethod"],
}    

Create the main (e.g. main.py) runner and register the node

# IMPORTS
from pyasynch.environment import Environment

env = Environment()
env.register_node('mynode',MyNode(env.endpoint))

try:
    env.run()
except KeyboardInterrupt:
    env.stop()

Everything is ready, now you can run the endpoint service (check if RabbitMQ is running properly)

python3 main.py -c myconfig.json -r myroutes.json -p 8081

You can replicate nodes and endpoint logic in a scalable way.

You can then perform JSON get or POST to the endpoint: http://127.0.0.1:8081/mynode/mymethod