log4py 类似于log4j的功能，不同级别的文件,分文件写入，设置每个log日志的大小，备份日志的份数

基本的log功能是具备的

一: 结构介绍

1.1 log 存放

1.2 测试文件存放--直接run 即可

cons1.py

import threading

from src.console_log import ConsoleLog


def fun():
    log = ConsoleLog()
    log.debug("---测试开始------")
    log.info("操作步骤1,2,3")
    log.warning("----测试结束----")
    log.error("----测试结束----")


if __name__ == "__main__":

    for i in range(6):
        t = threading.Thread(target=fun, args=())
        t.start()

T1.py

import threading

from src.logger_factory import LoggerFactory


class T1:
    def __init__(self):
        self.logger = LoggerFactory("T1.class")

    def __run(self, i):
        self.logger.debug("debug " + str(i) + " -------------------")
        self.logger.info("info " + str(i) + " -------------------")
        self.logger.warn("warn " + str(i) + " -------------------")
        self.logger.error("error " + str(i) + " -------------------")
        self.logger.critical("critical " + str(i) + " -------------------")

    def test(self):
        for i in range(6):
            t = threading.Thread(target=self.__run, args=(i,))
            t.start()


if __name__ == '__main__':
    t1 = T1()
    t1.test()
    pass

1.3 xml 配置

<collection shelf="logging">

    <logging title="config">
        <!-- NOTSET < debug < info < warn < error < critical -->
        <level>debug</level>

        <!-- log 日志文件最大值 单位:M-->
        <max_size_m>2</max_size_m>

        <!-- 备份的文件数-->
        <backup_count>5</backup_count>
    </logging>

</collection>

1.4 主要源文件