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Robust, high-volume, message based communication made easy

Project description


kiwiPy Travis CI Docs status Latest Version

kiwiPy is a library that makes remote messaging using RabbitMQ (and possibly other message brokers) EASY. It was designed to support high-throughput workflows in big-data and computational science settings and is currently used by AiiDA for computational materials research around the world. That said, kiwiPy is entirely general and can be used anywhere where high-throughput and robust messaging are needed.

Here’s what you get:

  • RPC
  • Broadcast (with filters)
  • Task queue messages

Let’s dive in, with some examples taken from the rmq tutorial. To see more detail head over to the documentation.


The client:

import kiwipy

with kiwipy.connect('amqp://localhost') as comm:
    # Send an RPC message
    print(" [x] Requesting fib(30)")
    response = comm.rpc_send('fib', 30).result()
    print((" [.] Got %r" % response))

( source)

The server:

import threading
import kiwipy

def fib(comm, num):
    if num == 0:
        return 0
    if num == 1:
        return 1

    return fib(comm, num - 1) + fib(comm, num - 2)

with kiwipy.connect('amqp://') as comm:
    # Register an RPC subscriber with the name 'fib'
    comm.add_rpc_subscriber(fib, 'fib')
    # Now wait indefinitely for fibonacci calls

( source)


Create a new task:

import sys
import kiwipy

message = ' '.join(sys.argv[1:]) or "Hello World!"

with rmq.connect('amqp://localhost') as comm:

( source)

And the worker:

import time
import threading
import kiwipy

print(' [*] Waiting for messages. To exit press CTRL+C')

def callback(_comm, task):
    print((" [x] Received %r" % task))
    print(" [x] Done")

    with kiwipy.connect('amqp://localhost') as comm:
except KeyboardInterrupt:

( source)


This software follows Semantic Versioning


Want a new feature? Found a bug? Want to contribute more documentation or a translation perhaps?

Help is always welcome, get started with the contributing guide.

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