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  • Celery简介以及Django中使用celery

    [TOC]

    Celery简介

    Celery是由三部分组成,消息中间件(message broker)、任务执行的单元(worker)和任务执行结果存储(task result store)。

    消息中间件

    Celery本身不提供消息服务,但是可以方便的和第三方提供的消息中间件集成。包括,RabbitMQ, Redis等等。

    任务执行单元

    Worker是Celery提供的任务执行的单元,worker并发的运行在分布式的系统节点中。

    任务结果存储

    Task result store用来存储Worker执行的任务的结果,Celery支持以不同方式存储任务的结果,包括AMQP, redis等

    使用场景

    异步任务:将耗时操作任务提交给Celery去异步执行,比如发送短信/邮件、消息推送、音视频处理等等

    定时任务:定时执行某件事情,比如每天数据统计

    Celery的安装和配置

    安装:pip install celery

    消息中间件:RabbitMQ/Redis

    app = Celery('任务名', broker=‘xxx’, bankend='vvv')

    Celery执行异步任务

    基本使用

    包架构封装

    project
      |-- celery_task      # celery包
      |	  |-- __init__.py  # 包文件
      |   |-- celery.py    # celery连接和配置相关文件,且名字必须交celery.py
      |   |-- tasks.py      # 所有任务函数
      |-- add_task.py      # 添加任务
      |-- get_result.py    # 获取结果
    

    celery.py

    # 1)创建app + 任务
    
    # 2)启动celery(app)服务:
    # 非windows
    # 命令:celery worker -A celery_task -l info
    # windows:
    # pip3 install eventlet
    # celery worker -A celery_task -l info -P eventlet
    
    # 3)添加任务:手动添加,要自定义添加任务的脚本,右键执行脚本
    
    # 4)获取结果:手动获取,要自定义获取任务的脚本,右键执行脚本
    
    
    from celery import Celery
    
    """
    broker=存储tasks的仓库 
    backend=存储results的仓库 
    include=[任务文件们]
    """
    
    broker = 'redis://127.0.0.1:6379/1'
    backend = 'redis://127.0.0.1:6379/2'
    
    # redis有密码时
    # broker = 'redis://:123456@127.0.0.1:6379/2'
    # backend = 'redis://:123456@127.0.0.1:6379/3'
    app = Celery(broker=broker, backend=backend, include=['celery_task.tasks'])
    
    
    # 启动celery服务的命令:
    # 前提:一定要进入celery_task所属的文件夹
    # celery worker -A celery_task -l info -P eventlet
    

    tasks.py

    from .celery import app
    import time
    
    
    @app.task
    def add(n, m):
        print(n)
        print(m)
        time.sleep(10)
        print('n+m的结果:%s' % (n + m))
        return n + m
    
    @app.task
    def low(n, m):
        print(n)
        print(m)
        print('n-m的结果:%s' % (n - m))
        return n - m
    

    add_task.py

    from celery_task import tasks
    
    # 添加立即执行任务
    t1 = tasks.add.delay(10, 20)
    t2 = tasks.low.delay(100, 50)
    print(t1.id)
    

    get_result.py

    from celery_task.celery import app
    from celery.result import AsyncResult
    
    id = '4e249f2d-559a-4a3e-8b43-d498b3d6355e'  # 随机的任务结果
    if __name__ == '__main__':
        async = AsyncResult(id=id, app=app)
        if async.successful():
            result = async.get()
            print(result)
        elif async.failed():
            print('任务失败')
        elif async.status == 'PENDING':
            print('任务等待中被执行')
        elif async.status == 'RETRY':
            print('任务异常后正在重试')
        elif async.status == 'STARTED':
            print('任务已经开始被执行')
    

    延时任务

    包架构封装

    project
      |-- celery_task
      |	  |-- __init__.py 
      |   |-- celery.py 
      |   |-- tasks.py
      |-- add_task.py
      |-- get_result.py
    

    celery.py

    from celery import Celery
    
    broker = 'redis://127.0.0.1:6379/11'
    backend = 'redis://127.0.0.1:6379/12'
    include = ['celery_task.tasks',]
    app = Celery(broker=broker, backend=backend, include=include)
    
    # 启动celery服务的命令:
    # 前提:一定要进入celery_task所属的文件夹
    # celery worker -A celery_task -l info -P eventlet
    

    tasks.py

    from .celery import app
    
    @app.task
    def add(n, m):
        res = n + m
        print(res)
        return res
    
    @app.task
    def low(n, m):
        res = n - m
        print(res)
        return res
    

    add_task.py

    from celery_task.tasks import add, low
    
    # 添加延迟任务
    from datetime import datetime, timedelta
    
    def eta_second(second):
        ctime = datetime.now()
        utc_ctime = datetime.utcfromtimestamp(ctime.timestamp())
        time_delay = timedelta(seconds=second)
        return utc_ctime + time_delay
    
    # 手动添加 延迟任务
    if __name__ == '__main__':
        result = add.apply_async(args=(200, 50), eta=eta_second(10))
        print(result.id)
        result = low.apply_async(args=(200, 50), eta=eta_second(8))
        print(result.id)
    

    get_result.py

    from celery_task.celery import app
    from celery.result import AsyncResult
    
    id = '74b4f1b2-36ee-4eab-afa7-3da40b7e794e'
    
    if __name__ == '__main__':
        async = AsyncResult(id=id, app=app)
        if async.successful():
            result = async.get()
            print(result)
        elif async.failed():
            print('任务失败')
        elif async.status == 'PENDING':
            print('任务等待中被执行')
        elif async.status == 'RETRY':
            print('任务异常后正在重试')
        elif async.status == 'STARTED':
            print('任务已经开始被执行')
    

    定时任务

    包架构封装

    project
      |-- celery_task
      |	  |-- __init__.py
      |   |-- celery.py
      |   |-- tasks.py
    

    celery.py

    from celery import Celery
    
    broker = 'redis://127.0.0.1:6379/11'
    backend = 'redis://127.0.0.1:6379/12'
    include = ['celery_task.tasks',]
    app = Celery(broker=broker, backend=backend, include=include)
    
    # 启动celery服务的命令:
    # 前提:一定要进入celery_task所属的文件夹
    # celery worker -A celery_task -l info -P eventlet
    
    
    # 自动添加任务
    # 时区
    app.conf.timezone = 'Asia/Shanghai'
    # 是否使用UTC
    app.conf.enable_utc = False
    
    # 任务的定时配置
    from datetime import timedelta
    from celery.schedules import crontab
    app.conf.beat_schedule = {
        'low-task': {
            'task': 'celery_task.tasks.low',
            'schedule': timedelta(seconds=3),
            # 'schedule': crontab(hour=8, day_of_week=1),  # 每周一早八点
            'args': (300, 150),
        },
        'my-add-task': {
            'task': 'celery_task.tasks.add',
            'schedule': timedelta(seconds=6),
            'args': (300, 150),
        }
    }
    
    # 启动 添加任务 服务的命令
    # celery beat -A celery_task -l info
    

    tasks.py

    from .celery import app
    
    
    @app.task
    def add(n, m):
        res = n + m
        print(res)
        return res
    
    @app.task
    def low(n, m):
        res = n - m
        print(res)
        return res
    

    异步处理Django任务

    包架构封装

    project
      |-- celery_task
      |	  |-- __init__.py
      |   |-- celery.py
      |   |-- tasks.py
    

    celery.py

    # 启动django依赖
    
    import sys
    sys.path.append(r'C:UsersoldboyDesktopluffyluffyapi')
    
    import os, django
    os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'luffyapi.settings.dev')
    django.setup()
    
    
    from celery import Celery
    
    broker = 'redis://127.0.0.1:6379/11'
    backend = 'redis://127.0.0.1:6379/12'
    include = ['celery_task.tasks',]
    app = Celery(broker=broker, backend=backend, include=include)
    
    # 启动celery服务的命令:
    # 前提:一定要进入celery_task所属的文件夹
    # celery worker -A celery_task -l info -P eventlet
    
    
    # 自动添加任务
    # 时区
    app.conf.timezone = 'Asia/Shanghai'
    # 是否使用UTC
    app.conf.enable_utc = False
    
    # 任务的定时配置
    from datetime import timedelta
    from celery.schedules import crontab
    app.conf.beat_schedule = {
        'django-task': {
            'task': 'celery_task.tasks.django_task',
            'schedule': timedelta(seconds=3),
            # 'schedule': crontab(hour=8, day_of_week=1),  # 每周一早八点
            'args': (300, 150),
        },
    }
    
    # 启动 添加任务 服务的命令
    # celery beat -A celery_task -l info
    

    tasks.py

    from .celery import app
    
    @app.task
    def django_task():
        pass
    

    案例:

    celery.py

    # 启动django依赖
    
    # 将celery服务框架放在项目根目录下
    # import sys
    # sys.path.append(r'C:UsersoldboyDesktopluffyluffyapi')
    
    import os, django
    os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'luffyapi.settings')
    django.setup()
    
    
    from celery import Celery
    
    broker = 'redis://127.0.0.1:6379/11'
    backend = 'redis://127.0.0.1:6379/12'
    include = ['celery_task.tasks',]
    app = Celery(broker=broker, backend=backend, include=include)
    
    app.conf.timezone = 'Asia/Shanghai'
    
    app.conf.enable_utc = False
    
    # 任务的定时配置
    from datetime import timedelta
    from celery.schedules import crontab
    app.conf.beat_schedule = {
        'django-task': {
            'task': 'celery_task.tasks.django_task',
            'schedule': timedelta(seconds=10),
            # 'schedule': crontab(hour=8, day_of_week=1),  # 每周一早八点
            'args': (),
        },
    }
    
    

    tasks.py

    from .celery import app
    from django.core.cache import cache
    from apps.home import models, serializers
    
    
    @app.task
    def django_task():
        banner_query = models.Banner.objects.filter(is_show=True, is_delete=False).order_by('-orders')
        banner_list_data = serializers.BannerModelSerializer(banner_query, many=True).data
        # 建立接口缓存
        cache.set('api_banner_list_data', banner_list_data)
        return '轮播图缓存更新完毕'
    
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  • 原文地址:https://www.cnblogs.com/Hades123/p/11754721.html
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