NsparkleLog 1.1.5

A useful logging library for Python

NsparkleLog日志库

描述

原来SparkleLogging日志库的新版,新的SparkleLogging日志库是从底层开始写起来的,并没有基于logging标准库往上搭建,所以功能暂时不完善。

Get started

一般来说，你只需要简单的

from NsparkleLog import logger

# 就可以开始记录日志

logger.trace("test")
logger.debug("test")
logger.info("test")
logger.warning("test")
logger.error("test")
logger.fatal("test")

[2024/6/22 15:26]

更新了NsparkleLogHandler类用于转发logging日志消息到NsparkleLog日志库

• 用法如下

from NsparkleLog import NsparkleLogHandler

import logging

logger = logging.getLogger("test")

handler = NsparkleLogHandler()
logger.addHandler(handler)
logger.setLevel(logging.DEBUG)

logger.debug("debug")
logger.info("info")
logger.warning("warning")
logger.error("error")
logger.critical("critical")

[2024/6/21 17:26]

更新了一个config接口用于配置日志

• 用法

from NsparkleLog import LogManager , Levels , StreamHandler

LogManager.config(
    handlers=[StreamHandler()],
    level=Levels.TRACE,
    colorMode=True,
)

logger = LogManager.GetLogger("test")

logger.trace("Hello, World!")
logger.debug("Hello, World!")
logger.info("Hello, World!")
logger.warning("Hello, World!")
logger.error("Hello, World!")
logger.fatal("Hello, World!")

[2024/6/5 22:14]

更新了类似loguru的catch装饰器

• 现在可以用@logger.catch来捕获函数中的异常并打印堆栈

from NsparkleLog import logger

@logger.catch
def test():
    raise Exception("this is a test exception")

test()

output:

2024-06-05 22:13:03.793 | ERROR   | MainProcess.MainThread | main.wrapper | NsparkleLog\core\_logger.py:60 - 发生异常:
An Fatal Error has occurred: Exception: This is an exception
Traceback (most recent call last):
  at wrapper in (f:\python_play\NsparkleLog\NsparkleLog\core\_logger.py:58)
  at test in (f:\python_play\NsparkleLog\asynctest.py:12)

[2024/6/4 21:52]

更新trace方法

• trace方法现在支持withStackTrace参数,如果为True,则包含堆栈跟踪,否则只记录信息

from NsparkleLog import logger

logger.trace("This is a trace message",withStackTrace=True)

output:

2024-06-04 21:50:44.840 | TRACE   | MainProcess.MainThread | main.<module> | asynctest.py:3 - This is a trace message
Stack Trace:
   at <module> in (f:\python_play\NsparkleLog\asynctest.py:3)

[2024/6/2 14:01]

更新了logger.exception接口

from NsparkleLog import logger
    try:
        raise Exception
    except Exception as e:
        logger.exception(e)

[2024/6/1 18:51]

完善多线程，多进程，异步的安全

[2024/5/30 21:33]

日志库不用再需要显示调用close方法来释放资源,主线程退出后会自动释放资源

更新了setLevel接口用于设置日志级别过滤

• 同时修复了一个addNewLevel可能会覆盖自己日志库定义等级的bug

from NsparkleLog import logger
from NsparkleLog.core._level import Levels

logger.setLevel(Levels.INFO)

logger.trace("Trace message") # 过滤
logger.debug("Debug message") # 过滤
logger.info("Info message")
logger.warning("Warning message")
logger.error("Error message")
logger.fatal("fatal message")

添加了addNewLevel方法来提升灵活性

from NsparkleLog import logger

TEST = 25
logger.addNewLevel("test", TEST, 91, "bright_magenta")

logger.log(TEST, "test")

FileHandler用法

from NsparkleLog import logger
from NsparkleLog.core._handler import FileHandler
from NsparkleLog.core._formatter import Formatter

filehandler = FileHandler(filename="test.log", mode="a+")
fmts = Formatter() #懒得设置格式直接这样也行
filehandler.setFormatter(fmts)
logger.addHandler(filehandler)

logger.trace("Trace message")
logger.debug("Debug message")
logger.info("Info message")
logger.warning("Warning message")
logger.error("Error message")
logger.fatal("fatal message")