search
HomeBackend DevelopmentPython TutorialDetailed explanation of python log printing and writing concurrency implementation code

Everyone generally uses logging for printing, but logging is thread-safe. There are also many introductions to multi-process. Introducing some file locks and configuring logging can ensure support.

However, through testing, it was found that when there are multiple processes, it is still easy to have the problem of repeatedly writing files or missing files when printing is normal.

My logging requirements are relatively simple, I can distinguish files and write log files correctly.

Introducing file locks; the log writing function is encapsulated into an operation_Logger class; the log name and writing level are encapsulated into a business class Logger.

This example is implemented based on python3. In this example, 20 processes are concurrently writing to 3 files respectively. Each file writes more than 100 lines of data every second. There is no data redundancy or data omission in the log file.

Detailed explanation of python log printing and writing concurrency implementation code

# -*-coding:utf-8-*- 
"""
Author:yinshunyao
Date:2017/3/5 0005下午 10:50
"""
# import logging
import os
import time
# 利用第三方系统锁实现文件锁定和解锁
if os.name == 'nt':
    import win32con, win32file, pywintypes
    LOCK_EX = win32con.LOCKFILE_EXCLUSIVE_LOCK
    LOCK_SH = 0  # The default value
    LOCK_NB = win32con.LOCKFILE_FAIL_IMMEDIATELY
    __overlapped = pywintypes.OVERLAPPED()


    def lock(file, flags):
        hfile = win32file._get_osfhandle(file.fileno())
        win32file.LockFileEx(hfile, flags, 0, 0xffff0000, __overlapped)

    def unlock(file):
        hfile = win32file._get_osfhandle(file.fileno())
        win32file.UnlockFileEx(hfile, 0, 0xffff0000, __overlapped)

elif os.name == 'posix':
    from fcntl import LOCK_EX


    def lock(file, flags):
        fcntl.flock(file.fileno(), flags)

    def unlock(file):
        fcntl.flock(file.fileno(), fcntl.LOCK_UN)
else:
    raise RuntimeError("File Locker only support NT and Posix platforms!") 



class _Logger:
    file_path = ''    #初始化日志路径

    @staticmethod
    def init():

        if not _Logger.file_path:
            _Logger.file_path = '%s/Log' % os.path.abspath(os.path.dirname(__file__))
        return True

    @staticmethod
    def _write(messge, file_name):
        if not messge:
            return True
        messge = messge.replace('\t', ',')
        file = '{}/{}'.format(_Logger.file_path, file_name)
        while True:
            try:
                f = open(file, 'a+')
                lock(f, LOCK_EX)
                break
            except:
                time.sleep(0.01)
                continue

        # 确保缓冲区内容写入到文件
        while True:
            try:
                f.write(messge + '\n')
                f.flush()
                break
            except:
                time.sleep(0.01)
                continue

        while True:
            try:
                unlock(f)
                f.close()
                return True
            except:
                time.sleep(0.01)
                continue
        @staticmethod
    def write(message, file_name, only_print=False):
        if not _Logger.init(): return
        print(message)
        if not only_print:
            _Logger._write(message, file_name)


class Logger:
    def __init__(self, logger_name, file_name=''):
        self.logger_name = logger_name
        self.file_name = file_name    # 根据消息级别,自定义格式,生成消息

    def _build_message(self, message, level):
        try:
            return '[%s]\t[%5s]\t[%8s]\t%s' \
                   % (time.strftime('%Y-%m-%d %H:%M:%S'), level, self.logger_name, message)
        except Exception as e:
            print('解析日志消息异常:{}'.format(e))
            return ''

    def warning(self, message):
        _Logger.write(self._build_message(message, 'WARN'), self.file_name)

    def warn(self, message):
        _Logger.write(self._build_message(message, 'WARN'), self.file_name)

    def error(self, message):
        _Logger.write(self._build_message(message, 'ERROR'), self.file_name)

    def info(self, message):
        _Logger.write(self._build_message(message, 'INFO'), self.file_name, True)

    def debug(self, message):
        _Logger.write(self._build_message(message, 'DEBUG'), self.file_name) 
# 循环打印日志测试函数


def _print_test(count):
    logger = Logger(logger_name='test{}'.format(count), file_name='test{}'.format(count % 3))
    key = 0
    while True:
        key += 1
        # print('{}-{}'.format(logger, key))
        logger.debug('%d' % key)
        logger.error('%d' % key)

if __name__ == '__main__':
    from multiprocessing import Pool, freeze_support
    freeze_support()    # 进程池进行测试
    pool = Pool(processes=20)
    count = 0
    while count < 20:
        count += 1
        pool.apply_async(func=_print_test, args=(count,))
    else:
        pool.close()
        pool.join()


The above is the detailed content of Detailed explanation of python log printing and writing concurrency implementation code. For more information, please follow other related articles on the PHP Chinese website!

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Python vs. C  : Understanding the Key DifferencesPython vs. C : Understanding the Key DifferencesApr 21, 2025 am 12:18 AM

Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Python vs. C  : Which Language to Choose for Your Project?Python vs. C : Which Language to Choose for Your Project?Apr 21, 2025 am 12:17 AM

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

Reaching Your Python Goals: The Power of 2 Hours DailyReaching Your Python Goals: The Power of 2 Hours DailyApr 20, 2025 am 12:21 AM

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Maximizing 2 Hours: Effective Python Learning StrategiesMaximizing 2 Hours: Effective Python Learning StrategiesApr 20, 2025 am 12:20 AM

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Choosing Between Python and C  : The Right Language for YouChoosing Between Python and C : The Right Language for YouApr 20, 2025 am 12:20 AM

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python vs. C  : A Comparative Analysis of Programming LanguagesPython vs. C : A Comparative Analysis of Programming LanguagesApr 20, 2025 am 12:14 AM

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

2 Hours a Day: The Potential of Python Learning2 Hours a Day: The Potential of Python LearningApr 20, 2025 am 12:14 AM

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python vs. C  : Learning Curves and Ease of UsePython vs. C : Learning Curves and Ease of UseApr 19, 2025 am 12:20 AM

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

MantisBT

MantisBT

Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

Dreamweaver Mac version

Dreamweaver Mac version

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

PhpStorm Mac version

PhpStorm Mac version

The latest (2018.2.1) professional PHP integrated development tool

WebStorm Mac version

WebStorm Mac version

Useful JavaScript development tools