python logging多进程多线程输出到同一个日志文件的实战案例
作者:VincentZhu
这篇文章主要介绍了python logging多进程多线程输出到同一个日志文件的实战案例,本文通过实例代码给大家介绍的非常详细,对大家的学习或工作具有一定的参考借鉴价值,需要的朋友可以参考下
参考官方案例:https://docs.python.org/zh-cn/3.8/howto/logging-cookbook.html
import logging import logging.config import logging.handlers from multiprocessing import Process, Queue import random import threading import time def logger_thread(q): while True: record = q.get() if record is None: break logger = logging.getLogger(record.name) logger.handle(record) def worker_process(q): qh = logging.handlers.QueueHandler(q) root = logging.getLogger() root.setLevel(logging.DEBUG) root.addHandler(qh) levels = [logging.DEBUG, logging.INFO, logging.WARNING, logging.ERROR, logging.CRITICAL] loggers = ['foo', 'foo.bar', 'foo.bar.baz', 'spam', 'spam.ham', 'spam.ham.eggs'] for i in range(100): lvl = random.choice(levels) logger = logging.getLogger(random.choice(loggers)) logger.log(lvl, 'Message no. %d', i) if __name__ == '__main__': q = Queue() d = { 'version': 1, 'formatters': { 'detailed': { 'class': 'logging.Formatter', 'format': '%(asctime)s %(name)-15s %(levelname)-8s %(processName)-10s %(message)s' } }, 'handlers': { 'console': { 'class': 'logging.StreamHandler', 'level': 'INFO', }, 'file': { 'class': 'logging.FileHandler', 'filename': 'mplog.log', 'mode': 'w', 'formatter': 'detailed', 'foofile': { 'filename': 'mplog-foo.log', 'errors': { 'filename': 'mplog-errors.log', 'level': 'ERROR', 'loggers': { 'foo': { 'handlers': ['foofile'] 'root': { 'level': 'DEBUG', 'handlers': ['console', 'file', 'errors'] } workers = [] for i in range(5): wp = Process(target=worker_process, name='worker %d' % (i + 1), args=(q,)) workers.append(wp) wp.start() logging.config.dictConfig(d) lp = threading.Thread(target=logger_thread, args=(q,)) lp.start() # At this point, the main process could do some useful work of its own # Once it's done that, it can wait for the workers to terminate... for wp in workers: wp.join() # And now tell the logging thread to finish up, too q.put(None) lp.join()
实战案例:
1、字典形式配置日志
log_conf_dict = { 'version': 1, 'formatters': { 'my_formatter': { 'class': 'logging.Formatter', 'format': '%(asctime)s %(processName)s(%(process)d) %(threadName)s(%(thread)d) %(filename)s[line:%(lineno)d] %(levelname)s %(message)s' } }, 'handlers': { 'console': { 'class': 'logging.StreamHandler', 'level': 'INFO', 'formatter': 'my_formatter', }, 'file': { 'class': 'logging.handlers.RotatingFileHandler', 'filename': '/log/test.log', 'maxBytes': 5*1024*1024, 'backupCount': 60, 'mode': 'w', 'delay': True, 'formatter': 'my_formatter', 'encoding': 'utf-8', 'level': 'INFO', }, }, 'loggers': { 'my_logger': { 'handlers': ['file'] } }, 'root': { 'level': _level, 'handlers': ['console', 'file'] }, }
2、主进程中开启独立的日志写入监听线程
"""主进程中开启独立的日志写入监听线程""" queue = Queue(-1) logging.config.dictConfig(dict) log_thread = threading.Thread(target=logger_main, args=(queue,)) log_thread.start() """其他逻辑代码段""" queue.put(None) log_thread.join()
日志写入函数
def logger_main(q): '''日志队列写入文件''' while True: record = q.get() if record is None: break logger = logging.getLogger() logger.handle(record)
3、子进程中将日志输入QueueHandler日志队列
def child_proc_main(queue): lqh = logging.handlers.QueueHandler(queue) lqh.set_name("my_queue_handler") root = logging.getLogger() #很关键的一步,必须先清空,再加入。原因:多进程多线程复杂环境下,在window和linux平台运行表现不一致,linux会复制主进程的日志配置,造成同时输出多个日志文件。 root.handlers.clear() root.addHandler(lqh) root.setLevel(level)
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