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Python 以不同的日志级别记录到多个处理程序?

转载 作者:太空狗 更新时间:2023-10-29 17:08:40 24 4
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各位,

我在 python 日志记录配置上摸不着头脑,但我做错了。

假设我安装了以下软件包:

mypackage/
data/mypackage.logging.conf
module1.py
module2.py
scripts/main.py

由于脚本可以交互使用或从 crontab 运行,我有以下要求:

  1. 没有打印语句,一切都通过日志记录;

  2. 使用 timedRotatingFileHandler 记录日志,始终在 DEBUG 级别;

  3. 使用 mailinglogger.SummarisingLogger 记录日志,始终在 INFO 级别;

  4. 记录到控制台,级别默认设置为 INFO 或通过命令行选项覆盖。

问题是,我可以通过命令行更改日志级别,控制台日志级别也会相应更改,但其他处理程序也会更改,这是我不想要的...:-/

在日志记录配置文件中,我不确定我是否理解根记录器级别、其他记录器级别和处理程序级别设置之间的优先级。

这是一些示例代码。任何线索将不胜感激:-)

# mypackage/data/mypackage.logging.conf
[loggers]
root,mypackage

[handlers]
keys=consoleHandler,timedRotatingFileHandler,summarisingHandler

[formatters]
keys=simpleFormatter,consoleFormatter,mypackageFormatter

[logger_root]
#level=INFO
handlers=consoleHandler

[logger_mypackage]
#level=INFO
handlers=timedRotatingFileHandler,summarisingHandler
qualname=mypackage

[handler_consoleHandler]
class=StreamHandler
#level=INFO
formatter=consoleFormatter
args=(sys.stdout,)

[handler_timedRotatingFileHandler]
class=logging.handlers.TimedRotatingFileHandler
level=DEBUG
formatter=mypackageFormatter
args=('mypackage.log', 'M', 1, 5)

[handler_summarisingHandler]
class=mailinglogger.SummarisingLogger
level=INFO
formatter=mypackageFormatter
args=('mypackage@someserver.somewhere.com', ('mypackage-alerts@somewhere.com',), 'relay.somewhere.com')

#mypackage/scripts/main.py:
import logging
import logging.config
import os
import sys

import mypackage.module1
import mypackage.module2

logging.config.fileConfig('data/mypackage.logging.conf')
log = logging.getLogger(__name__)

if __name__ == '__main__':
loglevel = 'INFO'
if len(sys.argv) > 1:
loglevel = sys.argv[1].upper()

logging.getLogger('').setLevel(getattr(logging, loglevel))
# or logging.getLogger('mypackage').setLevel(getattr(logging, loglevel)) ?

mypackage.module1.do_something()
mypackage.module2.do_something_else()

#mypackage/module1.py:
import logging

log = logging.getLogger(__name__)
log.addHandler(NullHandler())

def do_something():
log.debug("some debug message from:" + __name__)
log.info("some info message from:" + __name__)
log.error("some error message from:" + __name__)

#mypackage/module2.py:
import logging

log = logging.getLogger(__name__)
log.addHandler(NullHandler())

def do_something_else():
log.debug("some debug message from:" + __name__)
log.info("some info message from:" + __name__)
log.error("some error message from:" + __name__)

更新 1

与此同时,我发现了this answer并以这种方式成功修改了我的代码:

#mypackage/scripts/main.py:
import logging
import logging.config
import os
import sys
import mailinglogger

import mypackage.module1
import mypackage.module2

def main():
# get the console log level from the command-line
loglevel = 'INFO'
if len(sys.argv) > 1:
loglevel = sys.argv[1].upper()

# create formatters
simple_formatter = logging.Formatter("%(name)s:%(levelname)s: %(message)s")
detailed_formatter = logging.Formatter("%(asctime)s %(name)s[%(process)d]: %(levelname)s - %(message)s")

# get a top-level "mypackage" logger,
# set its log level to DEBUG,
# BUT PREVENT IT from propagating messages to the root logger
#
log = logging.getLogger('mypackage')
log.setLevel(logging.DEBUG)
log.propagate = 0

# create a console handler
# and set its log level to the command-line option
#
console_handler = logging.StreamHandler(sys.stdout)
console_handler.setLevel(getattr(logging, loglevel))
console_handler.setFormatter(simple_formatter)

# create a file handler
# and set its log level to DEBUG
#
file_handler = logging.handlers.TimedRotatingFileHandler('mypackage.log', 'M', 1, 5)
file_handler.setLevel(logging.DEBUG)
file_handler.setFormatter(detailed_formatter)

# create a mail handler
# and set its log level to INFO
#
mail_handler = mailinglogger.SummarisingLogger(
'mypackage@someserver.somewhere.com', ('mypackage-alerts@somewhere.com',), 'relay.somewhere.com')
mail_handler.setLevel(logging.INFO)
mail_handler.setFormatter(detailed_formatter)

# add handlers to the "mypackage" logger
#
log.addHandler(console_handler)
log.addHandler(file_handler)
log.addHandler(mail_handler)

# let the modules do their stuff
# and log to the "mypackage.module1" and "mypackage.module2" loggers
#
mypackage.module1.do_something()
mypackage.module2.do_something_else()


if __name__ == '__main__':
main()

现在,我将尝试在 logging.config 文件中翻译它...


更新 2

这是我找到的最好的日志记录配置和代码组合。

在 mypackage.logging.conf 文件中,“mypackage”记录器是:

  • 仅设置文件和电子邮件处理程序;
  • 它的传播设置为 false;
  • 其级别设置为 DEBUG;
  • 同时文件和电子邮件处理程序分别设置为 INFO 和 DEBUG。

#mypackage/data/mypackage.logging.conf
[loggers]
keys=root,mypackage

[handlers]
keys=consoleHandler,timedRotatingFileHandler,summarisingHandler

[formatters]
keys=simpleFormatter,consoleFormatter,mypackageFormatter

[logger_root]
#level=INFO
handlers=consoleHandler

[logger_mypackage]
level=DEBUG
handlers=timedRotatingFileHandler,summarisingHandler
qualname=mypackage
propagate=0

[handler_consoleHandler]
class=StreamHandler
#level=INFO
formatter=consoleFormatter
args=(sys.stdout,)

[handler_timedRotatingFileHandler]
class=logging.handlers.TimedRotatingFileHandler
level=DEBUG
formatter=mypackageFormatter
args=('mypackage.log', 'M', 1, 5)

[handler_summarisingHandler]
class=mailinglogger.SummarisingLogger
level=INFO
formatter=mypackageFormatter
args=('mypackage@someserver.somewhere.com', ('mypackage-alerts@somewhere.com',), 'relay.somewhere.com')

[formatter_consoleFormatter]
format=%(levelname)s: %(message)s
datefmt=

[formatter_mypackageFormatter]
format=%(asctime)s %(name)s[%(process)d]: %(levelname)s - %(message)s
datefmt=

在脚本中:

  1. 读取日志配置;

  2. (重新)创建了一个 console_formatter;

  3. 使用命令行选项的日志级别创建控制台处理程序,然后将其添加到“mypackage”记录器。


import logging
import logging.config
import os
import sys

import mypackage.module1
import mypackage.module2

def setup_logging(loglevel):
#
# load logging config from file
#
logging.config.fileConfig('data/mypackage.logging.conf')

# (re-)create formatter
console_formatter = logging.Formatter("%(name)s:%(levelname)s: %(message)s")

# create a console handler
# and set its log level to the command-line option
#
console_handler = logging.StreamHandler(sys.stdout)
console_handler.setFormatter(console_formatter)
console_handler.setLevel(getattr(logging, loglevel))

# add console handler to the pre-configured "mypackage" logger
#
logger = logging.getLogger('mypackage')
logger.addHandler(console_handler)


def main():
# get the console log level from the command-line
loglevel = 'INFO'
if len(sys.argv) > 1:
loglevel = sys.argv[1].upper()

# load logging config and setup console handler
#
setup_logging(loglevel)

# log from the script to the "mypackage.scripts.main" logger
#
log = logging.getLogger(__name__)
log.debug("some debug message from:" + __name__)
log.info("some info message from:" + __name__)
log.error("some error message from:" + __name__)

# let the modules do their stuff
# and log to the "mypackage.module1" and "mypackage.module2" loggers
#
mypackage.module1.do_something()
mypackage.module2.do_something_else()

if __name__== '__main__':
main()

如果处理程序在从配置文件加载时按名称“可寻址”,事情会更简单。

然后,我们可以在配置文件中设置 mypackage 控制台处理程序,并在代码中更改其日志级别,如下所示:

def setup_logging(loglevel):
logging.config.fileConfig('data/mypackage.logging.conf')

logger = logging.getLogger('mypackage')
console_handler = logger.getHandler('consoleHandler')
console_handler.setLevel(getattr(logging, loglevel))

也不需要重新创建格式化程序...

(最后更新:是的,我知道 https://docs.python.org/3/library/logging.config.html#incremental-configuration ,但在这种情况下,我坚持使用 Python 2.6...:-)

最佳答案

使用字典配置。下面是一个在 dictConfig 中使用单独句柄记录到多个文件的示例。这不是您要查找的内容,但您可以修改此示例并简单地更改您要使用的每个处理程序的级别。

import os, logging
from logging.config import dictConfig

FORMAT = "%(asctime)s {app} [%(thread)d] %(levelname)-5s %(name)s - %(message)s. [file=%(filename)s:%(lineno)d]"
DATE_FORMAT = None


def setup_logging(name, level="INFO", fmt=FORMAT):
formatted = fmt.format(app=name)
log_dir = r'C:/log_directory'
if not os.path.exists(log_dir):
os.makedirs(log_dir)

logging_config = {
"version": 1,
'disable_existing_loggers': False,
"formatters": {
'standard': {
'format': formatted
}
},
"handlers": {
'default': {
'class': 'logging.StreamHandler',
'formatter': 'standard',
'level': level,
'stream': 'ext://sys.stdout'
},
'file': {
'class': 'logging.handlers.TimedRotatingFileHandler',
'when': 'midnight',
'utc': True,
'backupCount': 5,
'level': level,
'filename': '{}/log1.log'.format(log_dir),
'formatter': 'standard',
},
'file2': {
'class': 'logging.handlers.TimedRotatingFileHandler',
'when': 'midnight',
'utc': True,
'backupCount': 5,
'level': level,
'filename': '{}/log2.log'.format(log_dir),
'formatter': 'standard',
}
},
"loggers": {
"": {
'handlers': ['default', 'file'],
'level': level
},
"second_log": {
'handlers': ['default', 'file2'],
'level': level
}
}
}

dictConfig(logging_config)

log.setup_logging(name="log-name", level=LEVEL
logger = logging.getLogger(__name__)
second_logger = logging.getLogger('second_log')
second_logger.propagate = False

关于Python 以不同的日志级别记录到多个处理程序?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/25187083/

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