问题
I\'d like to have loglevel TRACE (5) for my application, as I don\'t think that debug()
is sufficient. Additionally log(5, msg)
isn\'t what I want. How can I add a custom loglevel to a Python logger?
I\'ve a mylogger.py
with the following content:
import logging
@property
def log(obj):
myLogger = logging.getLogger(obj.__class__.__name__)
return myLogger
In my code I use it in the following way:
class ExampleClass(object):
from mylogger import log
def __init__(self):
\'\'\'The constructor with the logger\'\'\'
self.log.debug(\"Init runs\")
Now I\'d like to call self.log.trace(\"foo bar\")
Thanks in advance for your help.
Edit (Dec 8th 2016): I changed the accepted answer to pfa\'s which is, IMHO, an excellent solution based on the very good proposal from Eric S.
回答1:
@Eric S.
Eric S.'s answer is excellent, but I learned by experimentation that this will always cause messages logged at the new debug level to be printed -- regardless of what the log level is set to. So if you make a new level number of 9
, if you call setLevel(50)
, the lower level messages will erroneously be printed.
To prevent that from happening, you need another line inside the "debugv" function to check if the logging level in question is actually enabled.
Fixed example that checks if the logging level is enabled:
import logging
DEBUG_LEVELV_NUM = 9
logging.addLevelName(DEBUG_LEVELV_NUM, "DEBUGV")
def debugv(self, message, *args, **kws):
if self.isEnabledFor(DEBUG_LEVELV_NUM):
# Yes, logger takes its '*args' as 'args'.
self._log(DEBUG_LEVELV_NUM, message, args, **kws)
logging.Logger.debugv = debugv
If you look at the code for class Logger
in logging.__init__.py
for Python 2.7, this is what all the standard log functions do (.critical, .debug, etc.).
I apparently can't post replies to others' answers for lack of reputation... hopefully Eric will update his post if he sees this. =)
回答2:
I took the "avoid seeing lambda" answer and had to modify where the log_at_my_log_level was being added. I too saw the problem that Paul did "I don't think this works. Don't you need logger as the first arg in log_at_my_log_level?" This worked for me
import logging
DEBUG_LEVELV_NUM = 9
logging.addLevelName(DEBUG_LEVELV_NUM, "DEBUGV")
def debugv(self, message, *args, **kws):
# Yes, logger takes its '*args' as 'args'.
self._log(DEBUG_LEVELV_NUM, message, args, **kws)
logging.Logger.debugv = debugv
回答3:
Combining all of the existing answers with a bunch of usage experience, I think that I have come up with a list of all the things that need to be done to ensure completely seamless usage of the new level. The steps below assume that you are adding a new level TRACE
with value logging.DEBUG - 5 == 5
:
logging.addLevelName(logging.DEBUG - 5, 'TRACE')
needs to be invoked to get the new level registered internally so that it can be referenced by name.- The new level needs to be added as an attribute to
logging
itself for consistency:logging.TRACE = logging.DEBUG - 5
. - A method called
trace
needs to be added to thelogging
module. It should behave just likedebug
,info
, etc. - A method called
trace
needs to be added to the currently configured logger class. Since this is not 100% guaranteed to belogging.Logger
, uselogging.getLoggerClass()
instead.
All the steps are illustrated in the method below:
def addLoggingLevel(levelName, levelNum, methodName=None):
"""
Comprehensively adds a new logging level to the `logging` module and the
currently configured logging class.
`levelName` becomes an attribute of the `logging` module with the value
`levelNum`. `methodName` becomes a convenience method for both `logging`
itself and the class returned by `logging.getLoggerClass()` (usually just
`logging.Logger`). If `methodName` is not specified, `levelName.lower()` is
used.
To avoid accidental clobberings of existing attributes, this method will
raise an `AttributeError` if the level name is already an attribute of the
`logging` module or if the method name is already present
Example
-------
>>> addLoggingLevel('TRACE', logging.DEBUG - 5)
>>> logging.getLogger(__name__).setLevel("TRACE")
>>> logging.getLogger(__name__).trace('that worked')
>>> logging.trace('so did this')
>>> logging.TRACE
5
"""
if not methodName:
methodName = levelName.lower()
if hasattr(logging, levelName):
raise AttributeError('{} already defined in logging module'.format(levelName))
if hasattr(logging, methodName):
raise AttributeError('{} already defined in logging module'.format(methodName))
if hasattr(logging.getLoggerClass(), methodName):
raise AttributeError('{} already defined in logger class'.format(methodName))
# This method was inspired by the answers to Stack Overflow post
# http://stackoverflow.com/q/2183233/2988730, especially
# http://stackoverflow.com/a/13638084/2988730
def logForLevel(self, message, *args, **kwargs):
if self.isEnabledFor(levelNum):
self._log(levelNum, message, *args, **kwargs)
def logToRoot(message, *args, **kwargs):
logging.log(levelNum, message, *args, **kwargs)
logging.addLevelName(levelNum, levelName)
setattr(logging, levelName, levelNum)
setattr(logging.getLoggerClass(), methodName, logForLevel)
setattr(logging, methodName, logToRoot)
回答4:
This question is rather old, but I just dealt with the same topic and found a way similiar to those already mentioned which appears a little cleaner to me. This was tested on 3.4, so I'm not sure whether the methods used exist in older versions:
from logging import getLoggerClass, addLevelName, setLoggerClass, NOTSET
VERBOSE = 5
class MyLogger(getLoggerClass()):
def __init__(self, name, level=NOTSET):
super().__init__(name, level)
addLevelName(VERBOSE, "VERBOSE")
def verbose(self, msg, *args, **kwargs):
if self.isEnabledFor(VERBOSE):
self._log(VERBOSE, msg, args, **kwargs)
setLoggerClass(MyLogger)
回答5:
Who started the bad practice of using internal methods (self._log
) and why is each answer based on that?! The pythonic solution would be to use self.log
instead so you don't have to mess with any internal stuff:
import logging
SUBDEBUG = 5
logging.addLevelName(SUBDEBUG, 'SUBDEBUG')
def subdebug(self, message, *args, **kws):
self.log(SUBDEBUG, message, *args, **kws)
logging.Logger.subdebug = subdebug
logging.basicConfig()
l = logging.getLogger()
l.setLevel(SUBDEBUG)
l.subdebug('test')
l.setLevel(logging.DEBUG)
l.subdebug('test')
回答6:
I find it easier to create a new attribute for the logger object that passes the log() function. I think the logger module provides the addLevelName() and the log() for this very reason. Thus no subclasses or new method needed.
import logging
@property
def log(obj):
logging.addLevelName(5, 'TRACE')
myLogger = logging.getLogger(obj.__class__.__name__)
setattr(myLogger, 'trace', lambda *args: myLogger.log(5, *args))
return myLogger
now
mylogger.trace('This is a trace message')
should work as expected.
回答7:
I think you'll have to subclass the Logger
class and add a method called trace
which basically calls Logger.log
with a level lower than DEBUG
. I haven't tried this but this is what the docs indicate.
回答8:
Tips for creating a custom logger:
- Do not use
_log
, uselog
(you don't have to checkisEnabledFor
) - the logging module should be the one creating instance of the custom logger since it does some magic in
getLogger
, so you will need to set the class viasetLoggerClass
- You do not need to define
__init__
for the logger, class if you are not storing anything
# Lower than debug which is 10
TRACE = 5
class MyLogger(logging.Logger):
def trace(self, msg, *args, **kwargs):
self.log(TRACE, msg, *args, **kwargs)
When calling this logger use setLoggerClass(MyLogger)
to make this the default logger from getLogger
logging.setLoggerClass(MyLogger)
log = logging.getLogger(__name__)
# ...
log.trace("something specific")
You will need to setFormatter
, setHandler
, and setLevel(TRACE)
on the handler
and on the log
itself to actually se this low level trace
回答9:
While we have already plenty of correct answers, the following is in my opinion more pythonic:
import logging
from functools import partial, partialmethod
logging.TRACE = 5
logging.addLevelName(logging.TRACE, 'TRACE')
logging.Logger.trace = partialmethod(logging.Logger.log, logging.TRACE)
logging.trace = partial(logging.log, logging.TRACE)
If you want to use mypy
on your code, it is recommended to add # type: ignore
to suppress warnings from adding attribute.
回答10:
This worked for me:
import logging
logging.basicConfig(
format=' %(levelname)-8.8s %(funcName)s: %(message)s',
)
logging.NOTE = 32 # positive yet important
logging.addLevelName(logging.NOTE, 'NOTE') # new level
logging.addLevelName(logging.CRITICAL, 'FATAL') # rename existing
log = logging.getLogger(__name__)
log.note = lambda msg, *args: log._log(logging.NOTE, msg, args)
log.note('school\'s out for summer! %s', 'dude')
log.fatal('file not found.')
The lambda/funcName issue is fixed with logger._log as @marqueed pointed out. I think using lambda looks a bit cleaner, but the drawback is that it can't take keyword arguments. I've never used that myself, so no biggie.
NOTE setup: school's out for summer! dude FATAL setup: file not found.
回答11:
In my experience, this is the full solution the the op's problem... to avoid seeing "lambda" as the function in which the message is emitted, go deeper:
MY_LEVEL_NUM = 25
logging.addLevelName(MY_LEVEL_NUM, "MY_LEVEL_NAME")
def log_at_my_log_level(self, message, *args, **kws):
# Yes, logger takes its '*args' as 'args'.
self._log(MY_LEVEL_NUM, message, args, **kws)
logger.log_at_my_log_level = log_at_my_log_level
I've never tried working with a standalone logger class, but I think the basic idea is the same (use _log).
回答12:
Addition to Mad Physicists example to get file name and line number correct:
def logToRoot(message, *args, **kwargs):
if logging.root.isEnabledFor(levelNum):
logging.root._log(levelNum, message, args, **kwargs)
回答13:
As alternative to adding an extra method to the Logger class I would recommend using the Logger.log(level, msg)
method.
import logging
TRACE = 5
logging.addLevelName(TRACE, 'TRACE')
FORMAT = '%(levelname)s:%(name)s:%(lineno)d:%(message)s'
logging.basicConfig(format=FORMAT)
l = logging.getLogger()
l.setLevel(TRACE)
l.log(TRACE, 'trace message')
l.setLevel(logging.DEBUG)
l.log(TRACE, 'disabled trace message')
回答14:
I'm confused; with python 3.5, at least, it just works:
import logging
TRACE = 5
"""more detail than debug"""
logging.basicConfig()
logging.addLevelName(TRACE,"TRACE")
logger = logging.getLogger('')
logger.debug("n")
logger.setLevel(logging.DEBUG)
logger.debug("y1")
logger.log(TRACE,"n")
logger.setLevel(TRACE)
logger.log(TRACE,"y2")
output:
DEBUG:root:y1
TRACE:root:y2
回答15:
based on pinned answer, i wrote a little method which automaticaly create new logging levels
def set_custom_logging_levels(config={}):
"""
Assign custom levels for logging
config: is a dict, like
{
'EVENT_NAME': EVENT_LEVEL_NUM,
}
EVENT_LEVEL_NUM can't be like already has logging module
logging.DEBUG = 10
logging.INFO = 20
logging.WARNING = 30
logging.ERROR = 40
logging.CRITICAL = 50
"""
assert isinstance(config, dict), "Configuration must be a dict"
def get_level_func(level_name, level_num):
def _blank(self, message, *args, **kws):
if self.isEnabledFor(level_num):
# Yes, logger takes its '*args' as 'args'.
self._log(level_num, message, args, **kws)
_blank.__name__ = level_name.lower()
return _blank
for level_name, level_num in config.items():
logging.addLevelName(level_num, level_name.upper())
setattr(logging.Logger, level_name.lower(), get_level_func(level_name, level_num))
config may smth like that:
new_log_levels = {
# level_num is in logging.INFO section, that's why it 21, 22, etc..
"FOO": 21,
"BAR": 22,
}
回答16:
In case anyone wants an automated way to add a new logging level to the logging module (or a copy of it) dynamically, I have created this function, expanding @pfa's answer:
def add_level(log_name,custom_log_module=None,log_num=None,
log_call=None,
lower_than=None, higher_than=None, same_as=None,
verbose=True):
'''
Function to dynamically add a new log level to a given custom logging module.
<custom_log_module>: the logging module. If not provided, then a copy of
<logging> module is used
<log_name>: the logging level name
<log_num>: the logging level num. If not provided, then function checks
<lower_than>,<higher_than> and <same_as>, at the order mentioned.
One of those three parameters must hold a string of an already existent
logging level name.
In case a level is overwritten and <verbose> is True, then a message in WARNING
level of the custom logging module is established.
'''
if custom_log_module is None:
import imp
custom_log_module = imp.load_module('custom_log_module',
*imp.find_module('logging'))
log_name = log_name.upper()
def cust_log(par, message, *args, **kws):
# Yes, logger takes its '*args' as 'args'.
if par.isEnabledFor(log_num):
par._log(log_num, message, args, **kws)
available_level_nums = [key for key in custom_log_module._levelNames
if isinstance(key,int)]
available_levels = {key:custom_log_module._levelNames[key]
for key in custom_log_module._levelNames
if isinstance(key,str)}
if log_num is None:
try:
if lower_than is not None:
log_num = available_levels[lower_than]-1
elif higher_than is not None:
log_num = available_levels[higher_than]+1
elif same_as is not None:
log_num = available_levels[higher_than]
else:
raise Exception('Infomation about the '+
'log_num should be provided')
except KeyError:
raise Exception('Non existent logging level name')
if log_num in available_level_nums and verbose:
custom_log_module.warn('Changing ' +
custom_log_module._levelNames[log_num] +
' to '+log_name)
custom_log_module.addLevelName(log_num, log_name)
if log_call is None:
log_call = log_name.lower()
setattr(custom_log_module.Logger, log_call, cust_log)
return custom_log_module
来源:https://stackoverflow.com/questions/2183233/how-to-add-a-custom-loglevel-to-pythons-logging-facility