Skip to main content

快速日志模块

Project description

pyUnit-log

日志处理模块集合

安装

pip install pyunit-log

亮点

快速简单的函数日志模块,只需要在函数头上写一个装饰器即可,一行代码解决日志问题。
@log(log_file='./logs')

日志装饰器

from pyunit_log import log

if __name__ == '__main__':
    #config_file是日志模板地址,不写默认加载
    @log(log_file='./logs',config_file=None)
    def division():
        pass

加载默认日志配置

from pyunit_log import Log
import logging

if __name__ == '__main__':
    Log()

    logging.info('默认加载到root下')

    info = logging.getLogger('info')
    info.info('日志文件写道info.log文件下')

    error = logging.getLogger('error')
    error.error('日志文件写道error.log文件下')

修改日志配置文件

from pyunit_log import Log
import logging

if __name__ == '__main__':
    Log(config_file = '',log_file = '')
    # log_file 修改保存日志文件夹地址
    # config_file 修改配置文件地址

    info = logging.getLogger('info')
    info.info('日志文件写道info.log文件下')

    error = logging.getLogger('error')
    error.error('日志文件写道error.log文件下')

修改配置文件格式

[loggers]
keys = root,info,error

[handlers]
keys = console,info,error

[formatters]
keys = simpleFormatter

[formatter_simpleFormatter]
format = %(asctime)s - %(module)s - %(thread)d - %(levelname)s : %(message)s
datefmt = %Y-%m-%d %H:%M:%S

[logger_root]
level = INFO
handlers = info,console

[handler_console]
class = StreamHandler
level = INFO
formatter = simpleFormatter
args = (sys.stdout,)

[logger_info]
level = INFO
handlers = info
qualname = info
propagate = 0

[handler_info]
class = handlers.RotatingFileHandler
formatter = simpleFormatter
args = ('logs/info.log', 'a', 1048576, 30, 'UTF-8')

[logger_error]
level = ERROR
handlers = error
qualname = error
propagate = 0

[handler_error]
class = handlers.TimedRotatingFileHandler
formatter = simpleFormatter
args = ('logs/error.log', 'D', 1, 30, 'UTF-8')

日志大小说明

默认:info日志是1M(1048576)分割
error日志是每天分割

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for pyunit-log, version 2020.2.10
Filename, size File type Python version Upload date Hashes
Filename, size pyunit_log-2020.2.10-py3-none-any.whl (5.2 kB) File type Wheel Python version py3 Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page