python日志logging

一、logging基本https://www.cnblogs.com/huaizhi/p/11245246.html

import logging

logging.basicConfig()     ---默认项  只会打印在控制台，没有指定文件目录
logging.debug('This is a debug message')
logging.info('This is an info message')
logging.warning('This is a warning message')
logging.error('This is an error message')
logging.critical('This is a critical message')

=========== 默认配置项，只会打印warning级别以及以上级别

WARNING:root:This is a warning message
ERROR:root:This is an error message
CRITICAL:root:This is a critical message

添加参数后：

import logging

logging.basicConfig(filename='log.text', filemode='w', format="%(asctime)s  %(name)s  %(levelname)s:%(message)s",
                    datefmt='%d-%M-%Y %H:%M:%S', level=logging.INFO)     --指定了文件后，就不会再控制台打印，会直接存到指定文件中

logging.debug('This is a debug message')
logging.info('This is an info message')
logging.warning('This is a warning message')
logging.error('This is an error message')
logging.critical('This is a critical message')


try:
    print(5 / 0)
except Exception as e:
    logging.exception('occurred')      --可以打印出具体的问题。

 

二、logger自定义（实现控制台和输入文件中）：

import logging
logger = logging.getLogger(__name__)
logger.setLevel(level=logging.INFO)
handler = logging.FileHandler("log.txt")
handler.setLevel(logging.DEBUG)
formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
handler.setFormatter(formatter)

console = logging.StreamHandler()
console.setLevel(logging.DEBUG)

logger.addHandler(handler)
logger.addHandler(console)

logger.info("Start print log")
logger.debug("Do something")
logger.warning("Something maybe fail.")
try:
    open("sklearn.txt", "rb")
except (SystemExit, KeyboardInterrupt):
    raise
except Exception:
    logger.error("Faild to open sklearn.txt from logger.error", exc_info=True)

logger.info("Finish")

 

如果多个文件调用logger就会出现：调用一次logger，打印多次日志。这个时候我们需要调整如下：

def get_logger(name=__name__):
    logger = logging.getLogger(name)          # 这里接受一个哪个文件调用的logger
    logger.setLevel(level=logging.INFO)
    project_path = get_project()
    log_path = os.path.join(project_path, 'log/log.txt')

    handler = logging.FileHandler(log_path)
    handler.setLevel(logging.DEBUG)
    formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
    handler.setFormatter(formatter)

    console = logging.StreamHandler()
    console.setLevel(logging.DEBUG)

    logger.addHandler(handler)
    logger.addHandler(console)
    return logger

每个日志文件调用get_logger的时候需要输入文件名字：

get_logger(__name__)

 

 

三.实现一个py文件一个日志，且日志大于5M自动覆盖https://www.cnblogs.com/yfacesclub/p/9001073.html