我想将 Python 记录器包装在一个自定义类中，以嵌入一些特定于应用程序的功能，并对开发人员隐藏设置细节（设置文件输出、日志记录级别等）。为此，我使用以下 API 创建了一个类：
__init__(log_level, filename)
debug(msg)
info(msg)
warning(msg)
error(msg)
Logger.debug/info/warning/etc 调用通常会在日志中写入进行日志调用的函数和行号。但是，使用我的自定义类，写入日志文件的函数和行号始终相同（对应于自定义类中的 debug()/info()/warning()/error() 函数）。我希望它保存记录 msg 的应用程序代码行。那可能吗？
提前致谢。
如果您愿意重新实现一点标准日志记录模块，则可以生成日志包装器。诀窍是编写自己的 findCaller() 方法，该方法知道在解释回溯时如何忽略日志记录包装器源文件。
在 logwrapper.py 中：
import logging
import os
import sys
from logging import *
# This code is mainly copied from the python logging module, with minor modifications
# _srcfile is used when walking the stack to check when we've got the first
# caller stack frame.
#
if hasattr(sys, 'frozen'): #support for py2exe
_srcfile = "logging%s__init__%s" % (os.sep, __file__[-4:])
elif __file__[-4:].lower() in ['.pyc', '.pyo']:
_srcfile = __file__[:-4] + '.py'
else:
_srcfile = __file__
_srcfile = os.path.normcase(_srcfile)
class LogWrapper(object):
def __init__(self, logger):
self.logger = logger
def debug(self, msg, *args, **kwargs):
"""
Log 'msg % args' with severity 'DEBUG'.
To pass exception information, use the keyword argument exc_info with
a true value, e.g.
logger.debug("Houston, we have a %s", "thorny problem", exc_info=1)
"""
if self.logger.isEnabledFor(DEBUG):
self._log(DEBUG, msg, args, **kwargs)
def info(self, msg, *args, **kwargs):
"""
Log 'msg % args' with severity 'INFO'.
To pass exception information, use the keyword argument exc_info with
a true value, e.g.
logger.info("Houston, we have a %s", "interesting problem", exc_info=1)
"""
if self.logger.isEnabledFor(INFO):
self._log(INFO, msg, args, **kwargs)
# Add other convenience methods
def log(self, level, msg, *args, **kwargs):
"""
Log 'msg % args' with the integer severity 'level'.
To pass exception information, use the keyword argument exc_info with
a true value, e.g.
logger.log(level, "We have a %s", "mysterious problem", exc_info=1)
"""
if not isinstance(level, int):
if logging.raiseExceptions:
raise TypeError("level must be an integer")
else:
return
if self.logger.isEnabledFor(level):
self._log(level, msg, args, **kwargs)
def _log(self, level, msg, args, exc_info=None, extra=None):
"""
Low-level logging routine which creates a LogRecord and then calls
all the handlers of this logger to handle the record.
"""
# Add wrapping functionality here.
if _srcfile:
#IronPython doesn't track Python frames, so findCaller throws an
#exception on some versions of IronPython. We trap it here so that
#IronPython can use logging.
try:
fn, lno, func = self.findCaller()
except ValueError:
fn, lno, func = "(unknown file)", 0, "(unknown function)"
else:
fn, lno, func = "(unknown file)", 0, "(unknown function)"
if exc_info:
if not isinstance(exc_info, tuple):
exc_info = sys.exc_info()
record = self.logger.makeRecord(
self.logger.name, level, fn, lno, msg, args, exc_info, func, extra)
self.logger.handle(record)
def findCaller(self):
"""
Find the stack frame of the caller so that we can note the source
file name, line number and function name.
"""
f = logging.currentframe()
#On some versions of IronPython, currentframe() returns None if
#IronPython isn't run with -X:Frames.
if f is not None:
f = f.f_back
rv = "(unknown file)", 0, "(unknown function)"
while hasattr(f, "f_code"):
co = f.f_code
filename = os.path.normcase(co.co_filename)
if filename == _srcfile:
f = f.f_back
continue
rv = (co.co_filename, f.f_lineno, co.co_name)
break
return rv
以及一个使用它的例子：
import logging
from logwrapper import LogWrapper
logging.basicConfig(level=logging.DEBUG, format="%(asctime)s %(filename)s(%(lineno)d): "
"%(message)s")
logger = logging.getLogger()
lw = LogWrapper(logger)
lw.info('Wrapped well, this is interesting')
基于@Will Ware 的回答。另一种选择是覆盖findCaller方法并使用自定义类作为默认记录器：
class MyLogger(logging.Logger):
"""
Needs to produce correct line numbers
"""
def findCaller(self):
n_frames_upper = 2
f = logging.currentframe()
for _ in range(2 + n_frames_upper): # <-- correct frame
if f is not None:
f = f.f_back
rv = "(unknown file)", 0, "(unknown function)"
while hasattr(f, "f_code"):
co = f.f_code
filename = os.path.normcase(co.co_filename)
if filename == logging._srcfile:
f = f.f_back
continue
rv = (co.co_filename, f.f_lineno, co.co_name)
break
return rv
logging.setLoggerClass(MyLogger)
logger = logging.getLogger('MyLogger') # init MyLogger
logging.setLoggerClass(logging.Logger) # reset logger class to default
是的：sys._getframe(NUM)NUM 表示您要查找的当前功能之外的功能数量。返回的框架对象具有 和 之类的f_lineno属性f_code.co_filename。
Try stacklevel，它计算从原始日志记录调用到记录器的debug()、info()等调用的调用次数。这是日志3.8 中的新功能：
第三个可选关键字参数是 stacklevel，默认为 1。如果大于 1，则在计算为日志事件创建的 LogRecord 中设置的行号和函数名称时，会跳过相应的堆栈帧数。这可用于记录助手，以便记录的函数名、文件名和行号不是助手函数/方法的信息，而是其调用者的信息。此参数的名称反映了警告模块中的等效名称。
这是重写的又一次尝试findCaller。这使您可以基于每个函数自定义额外的堆栈帧深度。
import os
import logging
from contextlib import contextmanager
logging.basicConfig(
format='%(asctime)-15s %(levelname)s %(filename)s:%(lineno)d %(message)s',
level=logging.INFO
)
@contextmanager
def logdelta(n, level=logging.DEBUG):
_frame_stuff = [0, logging.Logger.findCaller]
def findCaller(_):
f = logging.currentframe()
for _ in range(2 + _frame_stuff[0]):
if f is not None:
f = f.f_back
rv = "(unknown file)", 0, "(unknown function)"
while hasattr(f, "f_code"):
co = f.f_code
filename = os.path.normcase(co.co_filename)
if filename == logging._srcfile:
f = f.f_back
continue
rv = (co.co_filename, f.f_lineno, co.co_name)
break
return rv
rootLogger = logging.getLogger()
isEnabled = rootLogger.isEnabledFor(level)
d = _frame_stuff[0]
try:
logging.Logger.findCaller = findCaller
_frame_stuff[0] = d + n
yield isEnabled
except:
raise
finally:
logging.Logger.findCaller = _frame_stuff[1]
_frame_stuff[0] = d
def A(x):
with logdelta(1):
logging.info('A: ' + x) # Don't log with this line number
def B(x):
with logdelta(2):
logging.info('A: ' + x) # or with this line number
def C(x):
B(x) # or this line number
A('hello') # Instead, log with THIS line number
C('hello') # or THIS line number```
更改 lineno 和文件名的最佳位置（如果您真的想这样做）是在附加到记录器的过滤器中。这是一个概念验证。最后一行将记录一条带有文件名和最后一行行的自定义消息：
import logging
import inspect
from pathlib import Path
class up_stacked_logger:
def __init__(self, logger, n):
self.logger = logger
calling_frame = inspect.stack()[n+1].frame
trace = inspect.getframeinfo(calling_frame)
class UpStackFilter(logging.Filter):
def filter(self, record):
record.lineno = trace.lineno
record.pathname = trace.filename
record.filename = Path(trace.filename).name
return True
self.f = UpStackFilter()
def __enter__(self):
self.logger.addFilter(self.f)
return self.logger
def __exit__(self, *args, **kwds):
self.logger.removeFilter(self.f)
def my_cool_customized_log_function(logger, msg):
with up_stacked_logger(logger, n=1) as logger:
logger.info(f'--> customize {msg}')
logging.basicConfig(level=logging.DEBUG, format="[%(name)s][%(levelname)s] %(message)s (%(filename)s:%(lineno)d)")
logger = logging.getLogger('some.module.logger')
my_cool_customized_log_function(logger, 'a message')