http://ninthtest.info/python-autologging/
Autologging eliminates boilerplate logging setup code and tracing code, and provides a means to separate application logging from program flow and data tracing.
Python modules that make use of Autologging are cleaner, leaner, and more resilient to changes that would otherwise require updating tracing statements.
Autologging allows for tracing to be configured (and controlled) independently from application logging. Toggle tracing on/off, write trace log records to a separate log, and use different formatting for trace log entries - all via standard Python logging facilities, and without affecting your application logging.
Autologging exposes two decorators and a custom log level:
logged
Decorate a class to create a __log member. The logger is named by
default to match the dotted-name of the containing class. A function
may also be decorated, creating a _log attribute on the function
object whose default name matches the containing module.
A specifically-named logger may also be passed to the decorator (i.e.
logged(my_logger)).
traced
Decorate a class to provide automatic method call/return tracing. By
default, all class, static, and instance methods are traced (excluding
"special" methods, with the exception of __init__ and __call__).
As with the logged decorator, the default name of the tracing logger
matches the dotted-name of the containing class and may be overridden by
passing a specifically-named logger to the decorator.
Additionally, this decorator accepts multiple string arguments that
explicitly name the methods to be traced (and may even name
"special" methods).
Module-level functions may also be traced using this decorator.
New in version 1.2.0: automatic yield/stop tracing of Python generator iterators (if the generator function is traced).
TRACE
The autologging.TRACE (level 1) log level is registered with the
Python logging module when Autologging is imported so that tracing
can be configured and controlled independently of application logging.
Tracing may be disabled entirely by setting the
AUTOLOGGING_TRACED_NOOP environment variable or by calling the
autologging.install_traced_noop() function.
A simple logged and traced class:
1 import logging
2 import sys
3
4 from autologging import logged, TRACE, traced
5
6 @traced
7 @logged
8 class Example:
9
10 def __init__(self):
11 self.__log.info("initialized")
12
13 def backwards(self, *words):
14 for word in words:
15 yield "".join(reversed(word))
16
17
18 if __name__ == "__main__":
19 logging.basicConfig(
20 level=TRACE, stream=sys.stderr,
21 format="%(levelname)s:%(filename)s,%(lineno)d:%(name)s.%(funcName)s:%(message)s")
22 example = Example()
23 for result in example.backwards("spam", "eggs"):
24 print(result)Logging and tracing output:
$ python example.py
TRACE:example.py,10:__main__.Example.__init__:CALL *() **{}
INFO:example.py,11:__main__.Example.__init__:initialized
TRACE:example.py,11:__main__.Example.__init__:RETURN None
TRACE:example.py,13:__main__.Example.backwards:CALL *('spam', 'eggs') **{}
TRACE:example.py,15:__main__.Example.backwards:RETURN <generator object backwards at 0x7fa534d61eb0>
TRACE:example.py,15:__main__.Example.backwards:YIELD 'maps'
maps
TRACE:example.py,15:__main__.Example.backwards:YIELD 'sgge'
sgge
TRACE:example.py,15:__main__.Example.backwards:STOPThe easiest way to install Autologging is to use pip:
$ pip install AutologgingClone or fork the repository:
$ git clone https://github.com/mzipay/Autologging.gitAlternatively, download and extract a source .zip or .tar.gz archive from https://github.com/mzipay/Autologging/releases, https://pypi.python.org/pypi/Autologging or https://sourceforge.net/projects/autologging/files/.
Run the test suite and install the autologging module: (make sure you
have setuptools installed!)
$ cd Autologging
$ python setup.py test
$ python setup.py installDownload the Python wheel (.whl) or a Windows installer from https://pypi.python.org/pypi/Autologging or https://sourceforge.net/projects/autologging/files/.