日志信息排错（举例）

logger.py

import sys
import logging
from logging import handlers

# 日志级别关系映射
level_relations = {
    'debug': logging.DEBUG,
    'info': logging.INFO,
    'warning': logging.WARNING,
    'error': logging.ERROR,
    'crit': logging.CRITICAL
}

def _get_logger(filename, level='info'):
    # 创建日志对象
    log = logging.getLogger(filename)
    # 设置日志级别
    log.setLevel(level_relations.get(level))
    # 日志输出格式
    fmt = logging.Formatter('%(asctime)s %(thread)d %(filename)s[line:%(lineno)d] - %(levelname)s: %(message)s')
    # 输出到控制台
    console_handler = logging.StreamHandler(sys.stdout)
    console_handler.setFormatter(fmt)
    # 输出到文件
    # 日志文件按天进行保存，每天一个日志文件
    file_handler = handlers.TimedRotatingFileHandler(filename=filename, when='D', backupCount=1, encoding='utf-8')
    # 按照大小自动分割日志文件，一旦达到指定的大小重新生成文件
    # file_handler = handlers.RotatingFileHandler(filename=filename, maxBytes=1*1024*1024*1024, backupCount=1, encoding='utf-8')
    file_handler.setFormatter(fmt)

    log.addHandler(console_handler)
    log.addHandler(file_handler)
    return log

# 明确指定日志输出的文件路径和日志级别
logger = _get_logger('test.log', 'info')

等级（点包进去源码）

# Default levels and level names, these can be replaced with any positive set
# of values having corresponding names. There is a pseudo-level, NOTSET, which
# is only really there as a lower limit for user-defined levels. Handlers and
# loggers are initialized with NOTSET so that they will log all messages, even
# at user-defined levels.
#

CRITICAL = 50
FATAL = CRITICAL
ERROR = 40
WARNING = 30
WARN = WARNING
INFO = 20
DEBUG = 10
NOTSET = 0

调用

这里举例一个demo

log_t.py

from logger import logger


def a():
    """测试专用"""
    lis = []
    for i in range(30):
        lis.append(i)
    return lis



if __name__ == '__main__':
    res = a()
    # logger.info('日志输出测试')
    logger.info(res)         # 导入包即可