文章摘自:http://www.javashuo.com/article/p-aqdaykyv-hv.htmlhtml
1 . 安装git
pip install apscheduler
2 . 简单例子函数
# coding:utf-8 from apscheduler.schedulers.blocking import BlockingScheduler import datetime def aps_test(): print(datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S'), '你好') scheduler = BlockingScheduler() scheduler.add_job(func=aps_test, trigger='cron', second='*/5') scheduler.start()
上面是经过add_job()来添加做业,另外还有一种方式是经过scheduled_job()修饰器来修饰函数code
import time from apscheduler.schedulers.blocking import BlockingScheduler sched = BlockingScheduler() @sched.scheduled_job('interval', seconds=5) def my_job(): print time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time())) sched.start()
job = scheduler.add_job(myfunc, 'interval', minutes=2) job.remove() #若是有多个任务序列的话能够给每一个任务设置ID号,能够根据ID号选择清除对象,且remove放到start前才有效 sched.add_job(myfunc, 'interval', minutes=2, id='my_job_id') sched.remove_job('my_job_id')
暂停做业orm
apsched.job.Job.pause() apsched.schedulers.base.BaseScheduler.pause_job()
恢复做业htm
apsched.job.Job.resume() apsched.schedulers.base.BaseScheduler.resume_job()
得到调度做业的列表,能够使用get_jobs()来完成,它会返回全部的job实例。或者使用print_jobs()来输出全部格式化的做业列表。也能够利用get_job(任务ID)获取指定任务的做业列表对象
job = sched.add_job(my_job, 'interval', seconds=2 ,id='123') print sched.get_job(job_id='123') print sched.get_jobs()
默认状况下调度器会等待全部正在运行的做业完成后,关闭全部的调度器和做业存储。若是你不想等待,能够将wait选项设置为False。blog
sched.shutdown() sched.shutdown(wait=False)
add_job的第二个参数是trigger,它管理着做业的调度方式。它能够为date, interval或者cron。对于不一样的trigger,对应的参数也相同ip
1 . cron定时调度(某必定时时刻执行)utf-8
(1). cron定时调度(某必定时时刻执行) (int|str) 表示参数既能够是int类型,也能够是str类型 (datetime | str) 表示参数既能够是datetime类型,也能够是str类型 year (int|str) – 4-digit year -(表示四位数的年份,如2008年) month (int|str) – month (1-12) -(表示取值范围为1-12月) day (int|str) – day of the (1-31) -(表示取值范围为1-31日) week (int|str) – ISO week (1-53) -(格里历2006年12月31日能够写成2006年-W52-7(扩展形式)或2006W527(紧凑形式)) day_of_week (int|str) – number or name of weekday (0-6 or mon,tue,wed,thu,fri,sat,sun) - (表示一周中的第几天,既能够用0-6表示也能够用其英语缩写表示) hour (int|str) – hour (0-23) - (表示取值范围为0-23时) minute (int|str) – minute (0-59) - (表示取值范围为0-59分) second (int|str) – second (0-59) - (表示取值范围为0-59秒) start_date (datetime|str) – earliest possible date/time to trigger on (inclusive) - (表示开始时间) end_date (datetime|str) – latest possible date/time to trigger on (inclusive) - (表示结束时间) timezone (datetime.tzinfo|str) – time zone to use for the date/time calculations (defaults to scheduler timezone) -(表示时区取值)
例子:
#表示2017年3月22日17时19分07秒执行该程序 sched.add_job(my_job, 'cron', year=2017,month = 03,day = 22,hour = 17,minute = 19,second = 07) #表示任务在6,7,8,11,12月份的第三个星期五的00:00,01:00,02:00,03:00 执行该程序 sched.add_job(my_job, 'cron', month='6-8,11-12', day='3rd fri', hour='0-3') #表示从星期一到星期五5:30(AM)直到2014-05-30 00:00:00 sched.add_job(my_job(), 'cron', day_of_week='mon-fri', hour=5, minute=30,end_date='2014-05-30') #表示每5秒执行该程序一次,至关于interval 间隔调度中seconds = 5 sched.add_job(my_job, 'cron',second = '*/5')
2 . interval 间隔调度(每隔多久执行)
weeks (int) – number of weeks to wait days (int) – number of days to wait hours (int) – number of hours to wait minutes (int) – number of minutes to wait seconds (int) – number of seconds to wait start_date (datetime|str) – starting point for the interval calculation end_date (datetime|str) – latest possible date/time to trigger on timezone (datetime.tzinfo|str) – time zone to use for the date/time calculations
例子:
#表示每隔3天17时19分07秒执行一次任务 sched.add_job(my_job, 'interval',days = 03,hours = 17,minutes = 19,seconds = 07)
3 . date 定时调度(做业只会执行一次)
run_date (datetime|str) – the date/time to run the job at -(任务开始的时间) timezone (datetime.tzinfo|str) – time zone for run_date if it doesn’t have one already
例子:
# The job will be executed on November 6th, 2009 sched.add_job(my_job, 'date', run_date=date(2009, 11, 6), args=['text']) # The job will be executed on November 6th, 2009 at 16:30:05 sched.add_job(my_job, 'date', run_date=datetime(2009, 11, 6, 16, 30, 5), args=['text'])
# coding:utf-8 from apscheduler.schedulers.blocking import BlockingScheduler import datetime import logging logging.basicConfig(level=logging.INFO, format='%(asctime)s %(filename)s[line:%(lineno)d] %(levelname)s %(message)s', datefmt='%Y-%m-%d %H:%M:%S', filename='log1.txt', filemode='a') def aps_test(x): print 1/0 print datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S'), x scheduler = BlockingScheduler() scheduler.add_job(func=aps_test, args=('定时任务',), trigger='cron', second='*/5') scheduler._logger = logging scheduler.start()
任何代码均可能发生意外,关键是,发生意外了,如何第一时间知道,这才是公司最关心的,apscheduler已经为咱们想到了这些。
# coding:utf-8 from apscheduler.schedulers.blocking import BlockingScheduler from apscheduler.events import EVENT_JOB_EXECUTED, EVENT_JOB_ERROR import datetime import logging logging.basicConfig(level=logging.INFO, format='%(asctime)s %(filename)s[line:%(lineno)d] %(levelname)s %(message)s', datefmt='%Y-%m-%d %H:%M:%S', filename='log1.txt', filemode='a') def aps_test(x): print datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S'), x def date_test(x): print datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S'), x print 1/0 def my_listener(event): if event.exception: print '任务出错了!!!!!!' else: print '任务照常运行...' scheduler = BlockingScheduler() scheduler.add_job(func=date_test, args=('必定性任务,会出错',), next_run_time=datetime.datetime.now() + datetime.timedelta(seconds=15), id='date_task') scheduler.add_job(func=aps_test, args=('循环任务',), trigger='interval', seconds=3, id='interval_task') scheduler.add_listener(my_listener, EVENT_JOB_EXECUTED | EVENT_JOB_ERROR) scheduler._logger = logging scheduler.start()
在生产环境中,你能够把出错信息换成发送一封邮件或者发送一个短信