Django自定義指令+mq消息隊列的使用

import pika
import json
import logging
import base64

from rest_framework.exceptions import ParseError

from django.core.management.base import BaseCommand

from device.access_device import parse_access_device_image

logger = logging.getLogger('server.default')


class Command(BaseCommand):
    help = 'Get the value from the message queue and write to queue'

    def handle(self, *args, **options):
        obj = RabbitQueue()
        queue_name = '_image'
        obj.pop_queue(queue_name=queue_name)


class RabbitQueue:

    def __init__(self):
        self.username = 'admin'
        self.password = 'admin'
        self.host = '127.0.0.1'
        self.port = 5672
        self.channel = None

    def connect(self):
        credit = pika.PlainCredentials(username=self.username, password=self.password)
        self.channel = pika.BlockingConnection(pika.ConnectionParameters(host=self.host, port=self.port, credentials=credit)).channel()

    @staticmethod
    def callback(channel, method, properties, body):
        receive = json.loads(body.decode())
        try:
            device_name = receive['device']['detail']
            device_address = receive['device']['scene']
            image = base64.b64decode(receive['image'])
            username = receive['user']['name']
            phone = receive['user']['username']
            gender = '' if receive['user']['gender'] == 1 else ''
            parse_access_device_image(device_name=device_name, device_address=device_address, image=image, username=username, phone=phone, gender=gender)
        except ParseError:
            logger.error(receive)
            raise ParseError('ParseError...')

    def pop_queue(self, queue_name, timeout=0):
        """從消息隊列獲取數據"""
        self.connect()
        channel = self.channel

        channel.queue_declare(queue=queue_name, durable=True)
        channel.basic_consume(on_message_callback=self.callback, queue=queue_name, auto_ack=False)

        channel.start_consuming()

 

發表評論
所有評論
還沒有人評論,想成為第一個評論的人麼? 請在上方評論欄輸入並且點擊發布.
相關文章