How to use Python timer

王林
Release: 2023-05-12 16:43:10
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1493 people have browsed it

Here we develop a print_datetime function to print the current time, and also use the print_time function as a task that we need to keep executing.

# Importing the datetime module.
import datetime


def print_time(message=None):
    """
    It prints the current time, optionally preceded by a message.

    :param message: The message to print
    """
    print(message, datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S'))
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Then, we prepare the scheduled task module apscheduler that needs to be used. You can choose the pip method to install it. This is the method I have always used.

pip install apscheduler

# Importing the BlockingScheduler class from the apscheduler.schedulers.blocking module.
from apscheduler.schedulers.blocking import BlockingScheduler
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At this point, we can execute the business function that needs to be kept in execution state, that is, the print_datetime function here as a scheduled task.

In this way, we don’t need to use the while True infinite loop sleep method to keep the task in running status.

# Creating a scheduler object.
scheduler = BlockingScheduler()

# Adding a job to the scheduler.
scheduler.add_job(func=print_time, args=('时间打印定时任务',), trigger='cron', second='*/1')  # 每秒执行

# Starting the scheduler in a separate thread.
scheduler.start()
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Finally, just start the current .py file to directly execute the scheduled task. The running effect is as follows.

Time printing scheduled task 2023-02-26 13:52:52
Time printing scheduled task 2023-02-26 13:52:53
Time printing scheduled task 2023-02 -26 13:52:54
Time printing scheduled task 2023-02-26 13:52:55
Time printing scheduled task 2023-02-26 13:52:56
Time printing scheduled task 2023- 02-26 13:52:57

Of course, as the framework apscheduler for scheduled tasks, he also has many skills. For example: execution in more complex cycles, execution within a limited time, single point execution, etc.

The following is the execution method of the more common apscheduler scheduled tasks that I have listed for your reference and valuable opinions.

scheduler.add_job(func=print_time, args=('任务只执行一次,在下一次的时间执行',),
                  next_run_time=datetime.datetime.now() + datetime.timedelta(seconds=60))

scheduler.add_job(func=print_time, args=('时间打印定时任务',), trigger='interval', seconds=5)  # 每5秒执行一次
scheduler.add_job(func=print_time, args=('时间打印定时任务',), trigger='interval', minutes=2)  # 每2分钟执行一次
scheduler.add_job(func=print_time, args=('时间打印定时任务',), trigger='interval', hours=1)  # 每1小时执行一次

scheduler.add_job(func=print_time, args=('时间打印定时任务',), trigger='cron', minute='*', second='1')  # 每分钟执行一次
scheduler.add_job(func=print_time, args=('时间打印定时任务',), trigger='cron', hour='*', minute='0',
                  second='0')  # 每小时执行一次

scheduler.add_job(func=print_time, args=('时间打印定时任务',), trigger='cron', hour='20', minute='0',
                  second='0')  # 每天20:00执行一次
scheduler.add_job(func=print_time, args=('时间打印定时任务',), trigger='cron', hour='21')  # 每天21:00执行一次
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