前段时间,我看到一个Mono应用程序的输出是彩色的,可能是因为它的日志系统(因为所有的消息都是标准化的)。

现在,Python有了日志记录模块,它允许您指定许多选项来定制输出。所以,我想象类似的事情可能与Python,但我不知道如何在任何地方做到这一点。

是否有办法使Python日志模块输出为彩色?

我想要的(例如)错误显示为红色,调试消息显示为蓝色或黄色,等等。

当然,这可能需要一个兼容的终端(大多数现代终端都是);但如果不支持颜色,我可以退回到原始的日志输出。

有什么想法,我可以得到彩色输出与日志模块?


当前回答

我已经创建了一个类,它将用您选择的任何颜色显示错误级别名称。大部分代码只是定义颜色模式,然后覆盖对象中的一些变量供日志库使用

class ColorLognameFormatter(logging.Formatter):
    _level_str_len = 8
    # Define the color codes
    _reset_str = '\x1b[0m'
    _grey_str = '\x1b[38;21m'
    _blue_str = '\x1b[38;5;39m'
    _yllw_str = '\x1b[38;5;226m'
    _sred_str = '\x1b[38;5;196m'
    _bred_str = '\x1b[31;1m'
    # Make the basic strings
    _debug_color_str = f"{_grey_str}DEBUG{_reset_str}".ljust(_level_str_len + len(_reset_str) + len(_grey_str), ' ')
    _info_color_str = f"{_blue_str}INFO{_reset_str}".ljust(_level_str_len + len(_reset_str) + len(_blue_str), ' ')
    _warn_color_str = f"{_yllw_str}WARNING{_reset_str}".ljust(_level_str_len + len(_reset_str) + len(_yllw_str), ' ')
    _error_color_str = f"{_sred_str}ERROR{_reset_str}".ljust(_level_str_len + len(_reset_str) + len(_sred_str), ' ')
    _crit_color_str = f"{_bred_str}CRITICAL{_reset_str}".ljust(_level_str_len + len(_reset_str) + len(_bred_str), ' ')
    # Format into a dict
    _color_levelname = {'DEBUG': _debug_color_str,
                        'INFO': _info_color_str,
                        'WARNING': _warn_color_str,
                        'ERROR': _error_color_str,
                        'CRITICAL': _error_color_str}

    def __init__(self, fmt='%(levelname)s | %(message)s', *args, **kwargs):
        super().__init__(fmt, *args, **kwargs)

    def format(self, record):
        # When calling format, replace the levelname with a colored version
        # Note: the string size is greatly increased because of the color codes
        record.levelname = self._color_levelname[record.levelname]
        return super().format(record)

主要的变化是它将默认的fmt字符串设置为%(levelname)s | %(message)s,并在调用format之前替换levelname

用法:

from ColorLognameFormatter import ColorLognameFormatter
import logging

log_level = logging.INFO

logger = logging.getLogger(__name__)
logger.setLevel(log_level)

stdout_handler = logging.StreamHandler()

stdout_handler.setLevel(log_level)
stdout_handler.setFormatter(ColorLognameFormatter())

logger.addHandler(stdout_handler)

logger.propagate = False

logger.info("Test")

其他回答

另一个解决方案,用ZetaSyanthis的颜色:

def config_log(log_level):

    def set_color(level, code):
        level_fmt = "\033[1;" + str(code) + "m%s\033[1;0m" 
        logging.addLevelName( level, level_fmt % logging.getLevelName(level) )

    std_stream = sys.stdout
    isatty = getattr(std_stream, 'isatty', None)
    if isatty and isatty():
        levels = [logging.DEBUG, logging.CRITICAL, logging.WARNING, logging.ERROR]
        for idx, level in enumerate(levels):
            set_color(level, 30 + idx )
        set_color(logging.DEBUG, 0)
    logging.basicConfig(stream=std_stream, level=log_level)

在__main__函数中调用它一次。我这里有这样的东西:

options, arguments = p.parse_args()
log_level = logging.DEBUG if options.verbose else logging.WARNING
config_log(log_level)

它还验证输出是否为控制台,否则不使用颜色。

请看下面的解决方案。流处理程序应该是做着色的事情,然后你可以选择着色单词而不仅仅是整行(与Formatter)。

http://plumberjack.blogspot.com/2010/12/colorizing-logging-output-in-terminals.html

coloredlogs

Instalation

pip install coloredlogs

使用

最小的用法:

import logging
import coloredlogs

coloredlogs.install()  # install a handler on the root logger

logging.debug('message with level debug')
logging.info('message with level info')
logging.warning('message with level warning')
logging.error('message with level error')
logging.critical('message with level critical')

结果:

从消息级调试开始:

import logging
import coloredlogs

coloredlogs.install(level='DEBUG')  # install a handler on the root logger with level debug

logging.debug('message with level debug')
logging.info('message with level info')
logging.warning('message with level warning')
logging.error('message with level error')
logging.critical('message with level critical')

结果:

从库中隐藏消息:

import logging
import coloredlogs

logger = logging.getLogger(__name__)  # get a specific logger object
coloredlogs.install(level='DEBUG')  # install a handler on the root logger with level debug
coloredlogs.install(level='DEBUG', logger=logger)  # pass a specific logger object

logging.debug('message with level debug')
logging.info('message with level info')
logging.warning('message with level warning')
logging.error('message with level error')
logging.critical('message with level critical')

结果:

格式化日志消息:

import logging
import coloredlogs

logger = logging.getLogger(__name__)  # get a specific logger object
coloredlogs.install(level='DEBUG')  # install a handler on the root logger with level debug
coloredlogs.install(level='DEBUG', logger=logger)  # pass a specific logger object
coloredlogs.install(
    level='DEBUG', logger=logger,
    fmt='%(asctime)s.%(msecs)03d %(filename)s:%(lineno)d %(levelname)s %(message)s'
)

logging.debug('message with level debug')
logging.info('message with level info')
logging.warning('message with level warning')
logging.error('message with level error')
logging.critical('message with level critical')

结果:

可用的格式属性:

%(asctime)s - Time as human-readable string, when logging call was issued %(created)f - Time as float when logging call was issued %(filename)s - File name %(funcName)s - Name of function containing the logging call %(hostname)s - System hostname %(levelname)s - Text logging level %(levelno)s - Integer logging level %(lineno)d - Line number where the logging call was issued %(message)s - Message passed to logging call (same as %(msg)s) %(module)s - File name without extension where the logging call was issued %(msecs)d - Millisecond part of the time when logging call was issued %(msg)s - Message passed to logging call (same as %(message)s) %(name)s - Logger name %(pathname)s - Full pathname to file containing the logging call %(process)d - Process ID %(processName)s - Process name %(programname)s - System programname %(relativeCreated)d - Time as integer in milliseconds when logging call was issued, relative to the time when logging module was loaded %(thread)d - Thread ID %(threadName)s - Thread name %(username)s - System username

来源:

Coloredlogs包

日志库

这是@Sergey Pleshakov的出色回答的轻微变化,他只对关卡使用颜色,并像预期的那样使用basicConfig:

class CustomFormatter(logging.Formatter):

    white = "\x1b[97;20m"
    grey = "\x1b[38;20m"
    green = "\x1b[32;20m"
    cyan = "\x1b[36;20m"
    yellow = "\x1b[33;20m"
    red = "\x1b[31;20m"
    bold_red = "\x1b[31;1m"
    reset = "\x1b[0m"
    fmt = "%(asctime)s - {}%(levelname)-8s{} - %(name)s.%(funcName)s - %(message)s"

    FORMATS = {
        logging.DEBUG: fmt.format(grey, reset),
        logging.INFO: fmt.format(green, reset),
        logging.WARNING: fmt.format(yellow, reset),
        logging.ERROR: fmt.format(red, reset),
        logging.CRITICAL: fmt.format(bold_red, reset),
    }

    def format(self, record):
        log_fmt = self.FORMATS.get(record.levelno)
        formatter = logging.Formatter(log_fmt, datefmt="%H:%M:%S")
        return formatter.format(record)


handler = logging.StreamHandler()
handler.setFormatter(CustomFormatter())
logging.basicConfig(
    level=logging.DEBUG,
    handlers=[handler]
)

现在有一个发布的PyPi模块,用于自定义彩色日志输出:

https://pypi.python.org/pypi/rainbow_logging_handler/

and

https://github.com/laysakura/rainbow_logging_handler

支持Windows 支持Django 可定制的颜色

由于它是作为Python卵分发的,因此非常容易为任何Python应用程序安装它。