pypipeflow 1.0.1

a simple library that you can set up service based on different kinds of MQ

Pipeflow

Pipeflow is simple library that you can set up service based on different kinds of MQ.

Installation

$ python -m pip install pypipeflow

Pipeflow only supports Python 3.5+.

Usage example

Pipeflow offer different type of endpoint

# NSQ endpoint
from pipeflow.endpoints.nsq_endpoints import NsqInputEndpoint, NsqOutputEndpoint

in_endpoint = NsqInputEndpoint("topic1", "channel1", lookupd_http_addresses="127.0.0.1:4161")
output_endpoint = NsqOutputEndpoint(nsqd_tcp_addresses="127.0.0.1:4150")


# Rabbitmq endpoint
from pipeflow.endpoints.rabbitmq_endpoints import RabbitmqInputEndpoint, RabbitmqOutputEndpoint

RABBITMQ_CONF = {
    "host": "127.0.0.1", "port": 5672, "virtualhost": "/", "login": "login_name",
    "password": "xxxx"
}
in_endpoint = RabbitmqInputEndpoint("queue1", **RABBITMQ_CONF)
output_endpoint = RabbitmqOutputEndpoint("queue1", **RABBITMQ_CONF)


# Redis endpoint
from pipeflow.endpoints.redis_endpoints import RedisInputEndpoint, RedisOutputEndpoint

in_endpoint = RedisInputEndpoint("queue1", host="127.0.0.1", port='6379', password="xxx", db=0)
output_endpoint = RedisOutputEndpoint(host="127.0.0.1", port='6379', password="xxx", db=0)

Set up service

from pipeflow.server import Server, Task

async def worker_handle(group, task):
    data = task.get_data()
    data += b"--"
    res_task = Task(data)
    res_task.set_to('out_name')
    return res_task

server = Server()
group = server.add_group('group1', concurrency=2)
group.set_handle(worker_handle)
group.add_input_endpoint('in_name', in_endpoint)
# NSQ
group.add_output_endpoint('out_name', output_endpoint, topic='topic1', delay=3000)
# Rabbitmq
group.add_output_endpoint('out_name', output_endpoint, queue='queue1')
# Redis
group.add_output_endpoint('out_name', output_endpoint, queue='queue1')

server.run()