celery

Celery

celery的使用

 异步任务框架，执行异步任务，执行延迟任务，执行定时任务
 使用：pip install celery

基本结构

from celery import Celery

broker = 'redis://127.0.0.1:6379/1' # broker任务队列
backend = 'redis://127.0.0.1:6379/2' # 结构存储，执行完的结果存在这

app = Celery(__name__,broker=broker,backend=backend)

# 添加任务(使用这个装饰器装饰，@app.task)
@app.task
def add(x,y):
    print(x,y)
    return x+y

# 2.启动worker
# 用命令来执行
        # 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
from celery_task import add
ret = add.delay(5,4) #想broker中添加一个任务
print(ret)

# 查看结果
from celery.result import AsyncResult
id = '3eae0594-e23e-44de-84c3-f52e976a2fab'
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')

包的结构

t_celery包

# add_task.py 任务

from celery_task import add
# add(3,4)  # 直接执行，不会被添加到broker中
ret=add.delay(5,4)  #想broker中添加一个任务
print(ret)

# celery_task.py  # celery配置


from celery import Celery

broker='redis://127.0.0.1:6379/1'  #broker任务队列

backend='redis://127.0.0.1:6379/2'   # 结构存储，执行完的结果存在这

app=Celery(__name__,broker=broker,backend=backend)


#添加任务(使用这个装饰器装饰，@app.task)
@app.task
def add(x,y):
    print(x,y)
    return x+y

# get_result.py # 查看结果
from celery_task import app

from celery.result import AsyncResult

id = '3e397fd7-e0c1-4c5c-999c-2655a96793bb'
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')
        
# 命令：celery worker -A celery_task -l info
        # windows：
        # pip3 install eventlet
        # celery worker -A celery_task -l info -P eventlet
        开启任务

因为celery是一个独立的项目，所以建立一个包

里面创建一个celery.py

# celery_task/celery.py
from celery import Celery

broker = 'redis://127.0.0.1:6379/1'
backend = 'redis://127.0.0.1:6379/2'
app=Celery(__name__,broker=broker,backend=backend,include=['celery_task.task1','celery_task.task2'])


#celery_task/task1.py
from .celery import app

@app.task
def add(x, y):
    print(x, y)
    return x + y

#celery_task/task2.py
from .celery import app

@app.task
def mutile(x, y):
    print(x, y)
    return x * y

# script/celery_cccc.py
from celery_task.task1 import add
from celery_task.task2 import mutile

ret = add.delay(6, 7)
print(ret)

执行定时任务和延迟任务

# script/celery_cccc.py
from celery_task.task1 import add
from celery_task.task2 import mutile

ret = add.delay(6, 7)
print(ret)

# 延迟任务
from datetime import datetime,timedelta
eta = datetime.utcnow()+timedelta(seconds=10)
add.apply_async(args=(200,50),eta=eta)
#定时任务
celery worker -A celery_task -l info -P eventlet
    先执行这个命令
    
celery beat -A celery_task -l info
    在执行在这个!