celery

https://gitee.com/bitterteaer/celery-learn.git

Celery的架构由三部分组成，消息中间件（message broker），任务执行单元（worker）和任务执行结果存储（task result store）组成。

基本使用

celery_task

import celery
import time
backend='redis://127.0.0.1:6379/1'
broker='redis://127.0.0.1:6379/2'
cel=celery.Celery('test',backend=backend,broker=broker)
@cel.task
def send_email(name):
    print("向%s发送邮件..."%name)
    time.sleep(5)
    print("向%s发送邮件完成"%name)
    return "ok"

注意，异步任务文件命令执行：
celery -A celery_task worker -l info -P eventlet

！windows10运行celery4.x以上，就会出现这个问题
解决办法
安装一个eventlet模块
pip3 install eventlet -i https://pypi.douban.com/simple/
然后启动celery的时候加一个参数
celery -A <mymodule> worker -l info -P eventlet

创建执行任务文件 produce_task.py

from celery_task import send_email
result = send_email.delay("yuan")
print(result.id)
result2 = send_email.delay("alex")
print(result2.id)

创建py文件：result.py，查看任务执行结果，

from celery.result import AsyncResult
from celery_task import cel

async_result=AsyncResult(id="c6ddd5b7-a662-4f0e-93d4-ab69ec2aea5d", app=cel)

if async_result.successful():
    result = async_result.get()
    print(result)
    # result.forget() # 将结果删除
elif async_result.failed():
    print('执行失败')
elif async_result.status == 'PENDING':
    print('任务等待中被执行')
elif async_result.status == 'RETRY':
    print('任务异常后正在重试')
elif async_result.status == 'STARTED':
    print('任务已经开始被执行')

from celery import Celery

cel = Celery('celery_demo',
             broker='redis://127.0.0.1:6379/1',
             backend='redis://127.0.0.1:6379/2',
             # 包含以下两个任务文件，去相应的py文件中找任务，对多个任务做分类
             include=['celery_tasks.task01',
                      'celery_tasks.task02'
                      ])

# 时区
cel.conf.timezone = 'Asia/Shanghai'
# 是否使用UTC
cel.conf.enable_utc = False

定时任务

from celery_task import send_email
from datetime import datetime

# 方式一
# v1 = datetime(2020, 3, 11, 16, 19, 00)
# print(v1)
# v2 = datetime.utcfromtimestamp(v1.timestamp())
# print(v2)
# result = send_email.apply_async(args=["egon",], eta=v2)
# print(result.id)

# 方式二
ctime = datetime.now()
# 默认用utc时间
utc_ctime = datetime.utcfromtimestamp(ctime.timestamp())
from datetime import timedelta
time_delay = timedelta(seconds=10)
task_time = utc_ctime + time_delay

# 使用apply_async并设定时间
result = send_email.apply_async(args=["egon"], eta=task_time)
print(result.id)

多任务结构中celery.py修改如下:

from datetime import timedelta
from celery import Celery
from celery.schedules import crontab

cel = Celery('tasks', broker='redis://127.0.0.1:6379/1', backend='redis://127.0.0.1:6379/2', include=[
    'celery_tasks.task01',
    'celery_tasks.task02',
])
cel.conf.timezone = 'Asia/Shanghai'
cel.conf.enable_utc = False

cel.conf.beat_schedule = {
    # 名字随意命名
    'add-every-10-seconds': {
        # 执行tasks1下的test_celery函数
        'task': 'celery_tasks.task01.send_email',
        # 每隔2秒执行一次
        # 'schedule': 1.0,
        # 'schedule': crontab(minute="*/1"),
        'schedule': timedelta(seconds=6),
        # 传递参数
        'args': ('张三',)
    },
    # 'add-every-12-seconds': {
    #     'task': 'celery_tasks.task01.send_email',
    #     每年4月11号，8点42分执行
    #     'schedule': crontab(minute=42, hour=8, day_of_month=11, month_of_year=4),
    #     'args': ('张三',)
    # },
}

启动 Beat 程序

celery beat -A proj

Celery Beat进程会读取配置文件的内容，周期性的将配置中到期需要执行的任务发送给任务队列

之后启动 worker 进程

celery -A proj worker -l info

或者

celery -B -A proj worker -l info