How to monitor the running status of a program in Pytho…

To monitor the operation of a Python program, the following methods can be used:

1. Exception handling: Use try-except statements to catch any potential exceptions and record or handle the exception information in the exception handling block.

try:
    # 你的代码
except Exception as e:
    # 异常处理代码
    print("发生异常：", e)

1. Log recording: Use the logging module to record the program’s running information and errors to a log file.

import logging

logging.basicConfig(filename='app.log', level=logging.DEBUG, format='%(asctime)s %(levelname)s %(message)s')

# 你的代码

logging.debug('调试信息')
logging.info('普通信息')
logging.warning('警告信息')
logging.error('错误信息')
logging.critical('严重错误信息')

1. Performance analysis: Utilize performance analysis tools (such as cProfile) to examine and improve program performance.

import cProfile

def your_function():
    # 你的代码

cProfile.run('your_function()')

1. Monitor program execution time: Utilize the time module to measure the program’s runtime.

import time

start_time = time.time()

# 你的代码

end_time = time.time()
execution_time = end_time - start_time
print("程序运行时间：", execution_time)

1. Utilize third-party monitoring tools, such as Sentry, to monitor the real-time status and error messages of the program.

The above methods can assist you in monitoring the running status of Python programs, allowing you to promptly identify and address issues.