如何在Python中使用同一脚本运行2台服务器

Question

我正在构建一个解决方案，该解决方案依赖于现场IOT设备的发布/订阅事件来启动一些处理。 就我的目的而言，我使用Flask as来运行我的主应用程序。 然后，我运行mqtt客户端以连接到MQTT服务器并侦听事件。

当我使用python app.py运行我的主Flask app.py时， python app.py同时启动Flask服务和MQTT客户端。 但是，当我尝试与gunicorn一起运行时，它只会启动Flask服务，而不会启动MQTT Client。

我可以使用哪种生产级服务（如果不是傻瓜）来同时运行这两项服务，以及如何使用它？

import logging, json, requests, os
import paho.mqtt.client as mqtt

from flask import Flask, request, url_for
from flask_restful import reqparse, abort, Api, Resource
from logging.handlers import SysLogHandler
from logging import StreamHandler
from flask.ext.superadmin import Admin, BaseView, model
from redis import Redis
from rq import Queue
from task import Task
from dateutil.relativedelta import relativedelta
from datetime import datetime, date
..
..
from commons import db, bootstrap

app = Flask(__name__)
api = Api(app)

bootstrap.bootstrap_app(app)

#Setup (Redis) Queue store
q = Queue(connection=Redis())

#Intialize task instance
task = Task(app)
..
...
@app.before_request
def log_request_info():
    app.logger.debug('Headers: %s', request.headers)
    app.logger.debug('Body: %s', request.get_data())

#API resource routing
api.add_resource(Test, '/test')


def session_report(client, userdata, message):
    print message.topic, message.payload

    # Redirect to session_report endpoint
    with app.test_request_context():
        url = 'http://localhost:5000'+url_for('sessionreport', _external=False)
        headers = {'content-type': 'application/json'}
        response = requests.request("POST", url, data=message.payload, 
            headers=headers)

def process_ack(client, userdata, message):
    try:
        user = User()
        user.update_account(account_number=next(iter(json.loads(message.payload))))
    except Exception, e:
        print e

def publish_accounts(client):
    user_obj = User()
    users = {user.id: user.account_number for user in user_obj.get_users()}
    client.publish('accounts', payload=json.dumps(users), qos=1, retain=True)


# paho callbacks

def on_connect(client, userdata, flags, rc):
    print "CONNECTED!", str(rc)

    # Subscribe to topis(s) here
    client.subscribe("mine/#")
    client.subscribe("session/#")
    client.subscribe("ack")

    # Add callbacks to subscribed topics
    client.message_callback_add("session/#", session_report)
    client.message_callback_add("ack", process_ack)

    # Publish latest list of accounts
    publish_accounts(client)

def on_subscribe(client, userdata, mid, granted_qos):
    print "Subscribed: ", str(mid), str(granted_qos)

def on_message(client, userdata, msg):
    print msg.topic, msg.payload

def on_publish(client, userdata, mid):
    print "PUBLISHED!"
    app.logger.info('PUBLISHED : {} -- {}'.format(mid, userdata))


if __name__ == '__main__':
    handler = StreamHandler()   #SysLogHandler()
    handler.setLevel(logging.DEBUG)
    app.logger.addHandler(handler)  
    client = mqtt.Client()
    client.on_connect = on_connect
    client.on_subscribe = on_subscribe
    client.on_message = on_message
    client.connect("localhost", 1883, 60)
    client.loop_start()
    app.run(debug=True, host='0.0.0.0', port=5000)

Answer 1

Flask只是Python的微框架。 如果要通过python同时运行多方法，则需要使用多线程编程。

我阅读了更多Flask文档，发现Flask支持多线程并发。

你试一试：

app.run(host='0.0.0.0',port=5000,debug=True, threaded = True)