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

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

其他回答

下面的解决方案只适用于python 3,但对我来说,它看起来是最清楚的。

其思想是使用日志记录工厂向日志记录对象添加“有色”属性,然后在日志格式中使用这些“有色”属性。

import logging
logger = logging.getLogger(__name__)

def configure_logging(level):

    # add 'levelname_c' attribute to log resords
    orig_record_factory = logging.getLogRecordFactory()
    log_colors = {
        logging.DEBUG:     "\033[1;34m",  # blue
        logging.INFO:      "\033[1;32m",  # green
        logging.WARNING:   "\033[1;35m",  # magenta
        logging.ERROR:     "\033[1;31m",  # red
        logging.CRITICAL:  "\033[1;41m",  # red reverted
    }
    def record_factory(*args, **kwargs):
        record = orig_record_factory(*args, **kwargs)
        record.levelname_c = "{}{}{}".format(
            log_colors[record.levelno], record.levelname, "\033[0m")
        return record

    logging.setLogRecordFactory(record_factory)

    # now each log record object would contain 'levelname_c' attribute
    # and you can use this attribute when configuring logging using your favorite
    # method.
    # for demo purposes I configure stderr log right here

    formatter_c = logging.Formatter("[%(asctime)s] %(levelname_c)s:%(name)s:%(message)s")

    stderr_handler = logging.StreamHandler()
    stderr_handler.setLevel(level)
    stderr_handler.setFormatter(formatter_c)

    root_logger = logging.getLogger('')
    root_logger.setLevel(logging.DEBUG)
    root_logger.addHandler(stderr_handler)


def main():
    configure_logging(logging.DEBUG)

    logger.debug("debug message")
    logger.info("info message")
    logger.critical("something unusual happened")


if __name__ == '__main__':
    main()

您可以轻松地修改此示例,以创建其他彩色属性(f.e. message_c),然后使用这些属性(仅)在需要的位置获取彩色文本。

(我最近发现的一个方便的技巧:我有一个带有彩色调试日志的文件,每当我想临时增加我的应用程序的日志级别时,我只需在不同的终端中跟踪-f日志文件,并在屏幕上看到调试日志,w/o更改任何配置并重新启动应用程序)

刚刚回答了类似的问题:Python |在shell中更改文本颜色

这个想法是使用clint库。它支持MAC, Linux和Windows shell (CLI)。

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

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。

import logging

logging.basicConfig(filename="f.log" filemode='w', level=logging.INFO,
                    format = "%(logger_name)s %(color)s  %(message)s %(endColor)s")


class Logger(object):
    __GREEN = "\033[92m"
    __RED = '\033[91m'
    __ENDC = '\033[0m'

    def __init__(self, name):
        self.logger = logging.getLogger(name)
        self.extra={'logger_name': name, 'endColor': self.__ENDC, 'color': self.__GREEN}


    def info(self, msg):
        self.extra['color'] = self.__GREEN
        self.logger.info(msg, extra=self.extra)

    def error(self, msg):
        self.extra['color'] = self.__RED
        self.logger.error(msg, extra=self.extra)

使用

日志记录器("文件名").info("显示绿色文本")