Python第三方模块apscheduler安装和基本使用

pip install apscheduler

# -*- coding:utf-8 -*-
from apscheduler.schedulers.blocking import BlockingScheduler
import datetime

def my_job1():
    print('my_job1 is running, Now is %s' % datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"))

def my_job2():
    print('my_job2 is running, Now is %s' % datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"))

sched = BlockingScheduler()
# 每隔5秒运行一次my_job1
sched.add_job(my_job1, 'interval', seconds=5, id='my_job1')
# 每隔5秒运行一次my_job2
sched.add_job(my_job2, 'cron', second='*/5', id='my_job2')
sched.start()

# -*- coding:utf-8 -*-
from apscheduler.schedulers.blocking import BlockingScheduler
import datetime

sched = BlockingScheduler()

# 每隔5秒运行一次my_job1
@sched.scheduled_job('interval', seconds=5, id='my_job1')
def my_job1():
    print('my_job1 is running, Now is %s' % datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"))

# 每隔5秒运行一次my_job2
@sched.scheduled_job('cron', second='*/5', id='my_job2')
def my_job2():
    print('my_job2 is running, Now is %s' % datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"))

sched.start()

# -*- coding:utf-8 -*-
from apscheduler.schedulers.blocking import BlockingScheduler
import datetime

def my_job(text=""):
    print(text, 'my_job1 is running, Now is %s' % datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"))

sched = BlockingScheduler()
job = sched.add_job(my_job, 'interval', seconds=2, args=['第一个作业'])
# #如果有多个任务序列的话可以给每个任务设置ID号，可以根据ID号选择清除对象，且remove放到start前才有效
sched.add_job(my_job, 'interval', seconds=2, id='my_job_id', args=['第二个作业'])
sched.start()

# -*- coding:utf-8 -*-
from apscheduler.schedulers.blocking import BlockingScheduler
import datetime

def my_job(text=""):
    print(text, 'my_job1 is running, Now is %s' % datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"))

sched = BlockingScheduler()
job = sched.add_job(my_job, 'interval', seconds=2, args=['第一个作业'])
job.remove()
# #如果有多个任务序列的话可以给每个任务设置ID号，可以根据ID号选择清除对象，且remove放到start前才有效
sched.add_job(my_job, 'interval', seconds=2, id='my_job_id', args=['第二个作业'])
sched.start()

# -*- coding:utf-8 -*-
from apscheduler.schedulers.blocking import BlockingScheduler
import datetime

def my_job(text=""):
    print(text, 'my_job1 is running, Now is %s' % datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"))

sched = BlockingScheduler()
job = sched.add_job(my_job, 'interval', seconds=2, args=['第一个作业'])
# #如果有多个任务序列的话可以给每个任务设置ID号，可以根据ID号选择清除对象，且remove放到start前才有效
sched.add_job(my_job, 'interval', seconds=2, id='my_job_id', args=['第二个作业'])
sched.remove_job('my_job_id')
sched.start()

# -*- coding:utf-8 -*-
import time
import datetime
from apscheduler.schedulers.blocking import BlockingScheduler

def my_job(text="默认值"):
    print(text, time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time())))

sched = BlockingScheduler()
sched.add_job(my_job, 'interval', seconds=3, args=['3秒定时'])
# 2018-3-17 00:00:00 执行一次，args传递一个text参数
sched.add_job(my_job, 'date', run_date=datetime.date(2019, 10, 17), args=['根据年月日定时执行'])
# 2018-3-17 13:46:00 执行一次，args传递一个text参数
sched.add_job(my_job, 'date', run_date=datetime.datetime(2019, 10, 17, 14, 10, 0), args=['根据年月日时分秒定时执行'])
# sched.start()
"""
interval 间隔调度，参数如下：
    weeks (int) – 间隔几周
    days (int) – 间隔几天
    hours (int) – 间隔几小时
    minutes (int) – 间隔几分钟
    seconds (int) – 间隔多少秒
    start_date (datetime|str) – 开始日期
    end_date (datetime|str) – 结束日期
    timezone (datetime.tzinfo|str) – 时区
"""
"""
cron参数如下：
    year (int|str) – 年，4位数字
    month (int|str) – 月 (范围1-12)
    day (int|str) – 日 (范围1-31)
    week (int|str) – 周 (范围1-53)
    day_of_week (int|str) – 周内第几天或者星期几 (范围0-6 或者 mon,tue,wed,thu,fri,sat,sun)
    hour (int|str) – 时 (范围0-23)
    minute (int|str) – 分 (范围0-59)
    second (int|str) – 秒 (范围0-59)
    start_date (datetime|str) – 最早开始日期(包含)
    end_date (datetime|str) – 最晚结束时间(包含)
    timezone (datetime.tzinfo|str) – 指定时区
"""
# my_job将会在6,7,8,11,12月的第3个周五的1,2,3点运行
sched.add_job(my_job, 'cron', month='6-8,11-12', day='3rd fri', hour='0-3')
# 截止到2018-12-30 00:00:00，每周一到周五早上五点半运行job_function
sched.add_job(my_job, 'cron', day_of_week='mon-fri', hour=5, minute=30, end_date='2018-12-31')

# 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=3, day=22, hour=17, minute=19, second=7)

# 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，相当于interval 间隔调度中seconds = 5
sched.add_job(my_job, 'cron', second='*/5', args=['5秒定时'])
sched.start()

# -*- coding:utf-8 -*-
from apscheduler.schedulers.blocking import BlockingScheduler
from datetime import datetime
import logging
sched = BlockingScheduler()

def my_job():
    print('my_job is running, Now is %s' % datetime.now().strftime("%Y-%m-%d %H:%M:%S"))

# 使用sqlalchemy作业存储器
# 根据自己电脑安装的库选择用什么连接 ，如pymysql   其中：scrapy表示数据库的名称，操作数据库之前应创建对应的数据库
url = 'mysql+pymysql://root:123456@localhost:3306/scrapy?charset=utf8'
sched.add_jobstore('sqlalchemy', url=url)
# 添加作业
sched.add_job(my_job, 'interval', id='myjob', seconds=5)

log = logging.getLogger('apscheduler.executors.default')
log.setLevel(logging.INFO)  # DEBUG
# 设定日志格式
fmt = logging.Formatter('%(levelname)s:%(name)s:%(message)s')
h = logging.StreamHandler()
h.setFormatter(fmt)
log.addHandler(h)

sched.start()

# 暂停作业:
apsched.job.Job.pause()
apsched.schedulers.base.BaseScheduler.pause_job()
# 恢复作业:
apsched.job.Job.resume()
apsched.schedulers.base.BaseScheduler.resume_job()

# -*- coding:utf-8 -*-
from apscheduler.schedulers.blocking import BlockingScheduler
import datetime

def my_job(text=""):
    print(text, 'my_job1 is running, Now is %s' % datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"))

sched = BlockingScheduler()

job = sched.add_job(my_job, 'interval', seconds=2, args=['第一个作业'])
sched.add_job(my_job, 'interval', seconds=2, id='my_job_id', args=['第二个作业'])

print(sched.get_jobs())

print(sched.get_job(job_id="my_job_id"))

sched.print_jobs()
sched.start()

sched.shutdown()
sched.shutdown(wait=False)