python:定时任务模块schedule
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2022-05-10 21:24:47
1.安装 2.文档 3.官网使用demo 4.我的schedule使用demo 5.拓展: 并行执行任务 (1)默认情况下,schedule按顺序执行所有作业。这背后的原因是很难找到一个让每个人都开心的并行执行模型 (2)如果需要控制线程数,就需要用queue (3)抛出异常 (4)只运行一次 (5 ......
1.安装
pip install schedule
2.文档
https://schedule.readthedocs.io/en/stable/faq.html#how-to-execute-jobs-in-parallel
3.官网使用demo
import schedule import time def job(): print("i'm working...") schedule.every(10).minutes.do(job) schedule.every().hour.do(job) schedule.every().day.at("10:30").do(job) schedule.every(5).to(10).minutes.do(job) schedule.every().monday.do(job) schedule.every().wednesday.at("13:15").do(job) schedule.every().minute.at(":17").do(job) while true: schedule.run_pending() time.sleep(1)
4.我的schedule使用demo
import sys import time import schedule import os import logging if not os.path.exists('/var/log/video_download/'): os.makedirs('/var/log/video_download') log = logging.getlogger() log.setlevel(logging.debug) fmt = logging.formatter("%(asctime)s %(pathname)s %(filename)s %(funcname)s %(lineno)s %(levelname)s - %(message)s", "%y-%m-%d %h:%m:%s") stream_handler = logging.filehandler( '/var/log/video_download/debug-%s.log' % (time.strftime('%y-%m-%d', time.localtime(time.time())))) stream_handler.setlevel(logging.debug) stream_handler.setformatter(fmt) log.addhandler(stream_handler) def handler(): print("this is handler") def main(): if len(sys.argv) != 2: print('python video_data.py hour') sys.exit() param = sys.argv[1] if param == 'hour': log.debug("enter main") schedule.every().day.at("00:00").do(handler) schedule.every().hour.do(handler) while true: schedule.run_pending() time.sleep(1) else: print("python video_data.py hour") sys.exit() if __name__ == "__main__": main()
5.拓展:
并行执行任务
(1)默认情况下,schedule按顺序执行所有作业。这背后的原因是很难找到一个让每个人都开心的并行执行模型
import threading import time import schedule def job(): print("i'm running on thread %s" % threading.current_thread()) def run_threaded(job_func): job_thread = threading.thread(target=job_func) job_thread.start() schedule.every(10).seconds.do(run_threaded, job) schedule.every(10).seconds.do(run_threaded, job) schedule.every(10).seconds.do(run_threaded, job) schedule.every(10).seconds.do(run_threaded, job) schedule.every(10).seconds.do(run_threaded, job) while 1: schedule.run_pending() time.sleep(1)
(2)如果需要控制线程数,就需要用queue
import queue import time import threading import schedule def job(): print("i'm working") def worker_main(): while 1: job_func = jobqueue.get() job_func() jobqueue.task_done() jobqueue = queue.queue() schedule.every(10).seconds.do(jobqueue.put, job) schedule.every(10).seconds.do(jobqueue.put, job) schedule.every(10).seconds.do(jobqueue.put, job) schedule.every(10).seconds.do(jobqueue.put, job) schedule.every(10).seconds.do(jobqueue.put, job) worker_thread = threading.thread(target=worker_main) worker_thread.start() while 1: schedule.run_pending() time.sleep(1)
(3)抛出异常
import functools def catch_exceptions(cancel_on_failure=false): def catch_exceptions_decorator(job_func): @functools.wraps(job_func) def wrapper(*args, **kwargs): try: return job_func(*args, **kwargs) except: import traceback print(traceback.format_exc()) if cancel_on_failure: return schedule.canceljob return wrapper return catch_exceptions_decorator @catch_exceptions(cancel_on_failure=true) def bad_task(): return 1 / 0 schedule.every(5).minutes.do(bad_task)
(4)只运行一次
def job_that_executes_once(): # do some work ... return schedule.canceljob schedule.every().day.at('22:30').do(job_that_executes_once)
(5)一次取消多个任务
def greet(name): print('hello {}'.format(name)) schedule.every().day.do(greet, 'andrea').tag('daily-tasks', 'friend') schedule.every().hour.do(greet, 'john').tag('hourly-tasks', 'friend') schedule.every().hour.do(greet, 'monica').tag('hourly-tasks', 'customer') schedule.every().day.do(greet, 'derek').tag('daily-tasks', 'guest') schedule.clear('daily-tasks')
(6)在任务中加入日志功能
import functools import time import schedule # this decorator can be applied to def with_logging(func): @functools.wraps(func) def wrapper(*args, **kwargs): print('log: running job "%s"' % func.__name__) result = func(*args, **kwargs) print('log: job "%s" completed' % func.__name__) return result return wrapper @with_logging def job(): print('hello, world.') schedule.every(3).seconds.do(job) while 1: schedule.run_pending() time.sleep(1)
(7)随机开展工作
def my_job(): # this job will execute every 5 to 10 seconds. print('foo') schedule.every(5).to(10).seconds.do(my_job)
(8)传参给作业函数
def greet(name): print('hello', name) schedule.every(2).seconds.do(greet, name='alice') schedule.every(4).seconds.do(greet, name='bob')
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