We will use time.sleep() to simulate i/o operations to ensure our concurrency is performing as expected. Pika is the package to interact with RabbitMQ. The messages we consume will be in JSON format so we need a parser. Next lets import all the packages we will be using: import json import pika import time import threading THREADS is the number of threads we want to spawn to process messages. EXCHANGE is the name of the exchange we are using. QUEUE_NAME is the name of the queue we want to create and bind to. ROUTING_KEY is the name of the routing key we want our queue to receive messages from. RABBIT_URL is the connection string to the rabbit cluster. Let’s start by specifying some configurations we will need: # some configuration variables RABBIT_URL = ROUTING_KEY = 'routing_key' QUEUE_NAME = 'my_queue.' + ROUTING_KEY EXCHANGE = 'exchange_name' THREADS = 5 Pika python install#You will also need to install pika via Pip. Self.oProperties = pika.BasicProperties(content_type=self.We will be using Python 3 for the following examples. Self.oParameters = pika.ConnectionParameters(credentials=self.oCredentials, #? channel_max heartbeat_interval connection_attempts socket_timeout Self.oCredentials = pika.PlainCredentials(self.sUsername, self.sPassword) Self.iDebugLevel = dParams.get('iDebugLevel', 4) Self.sVirtualHost = dParams.get('sVirtualHost', '/') # I think really this should be Mt4 specific - for permissions Self.sPassword = dParams.get('sPassword', 'guest') Self.sUsername = dParams.get('sUsername', 'guest') Self.sExchangeName = dParams.get('sExchangeName', 'Mt4') # I think we want one exchange per terminal process # I think really this should be program PID specific Self.sHostAddress = dParams.get('sHostAddress', '127.0.0.1') Self.iReqRepPort = dParams.get('iReqRepPort', 5672) Self.iSubPubPort = dParams.get('iSubPubPort', 5672) Return pika.ConnectionParameters(settings.RABBITMQ_HOST, # TCP_KEEPIDLE to something significantly below 15 minutes. # To avoid this killing our RabbitMQ connections, we set # connections after as little as ~15 minutes of inactivity. # Some Kubernetes / Docker Swarm networks can kill "idle" TCP # point, it send them every TCP_KEEPINTVL (typically 75s). # after TCP_KEEPIDLE (7200 seconds) of inactivity after that # systems, the default is to start sending keepalive packets # keepalive on this connection is the TCP keepalive (defaults: # Where we've disabled RabbitMQ's heartbeat, the only # heartbeat doesn't make sense with BlockingConnection (we do # self.rabbitmq_heartbeat=0, which asks to explicitly disable Thread = threading.Thread(target=start_consuming)ĭef _get_parameters(self) -> pika.ConnectionParameters:Ĭredentials = pika.PlainCredentials(settings.RABBITMQ_USERNAME, Self._channel_request.queue_declare(queue=self._request_pipe_name)Ĭhannel_response.queue_declare(queue=self._response_pipe_name)Ĭhannel_response.basic_consume(self._fetch_response_callback, queue=self._response_pipe_name) Self._channel_request.queue_delete(queue=self._request_pipe_name) _bind(exchange=utils.EXCHANGE, queue=utils.QUEUE_ON_OFF)Ĭonn = pika.BlockingConnection(pika.ConnectionParameters(host=self._rmq_server_addr,port=self._port,heartbeat=self.heartbeat,blocked_connection_timeout=None,virtual_host='/',credentials=pika.PlainCredentials(self._username,self._username))) _declare(exchange=utils.EXCHANGE, exchange_type='direct') #except as pe:Ĭherrypy.log("Error connecting to Queue! %s" % e, traceback=True) nnection = pika.BlockingConnection(parameters=parameters)Ĭherrypy.log("Connection to rabbitmq service established") "keyfile":PROJECT_PATH+"/certs/"+config.get('rabbitmq')Ĭherrypy.log("Trying to connect to rabbitmq service.") "certfile":PROJECT_PATH+"/certs/"+config.get('rabbitmq'), "ca_certs":PROJECT_PATH+"/certs/"+config.get('rabbitmq'), Parameters = pika.ConnectionParameters(credentials=credentials, Credentials = pika.PlainCredentials(config.get('rabbitmq'), config.get('rabbitmq'))
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |