Introspect and display the logger tree inside "logging"
Project description
Introspection for the logging logger tree in the Standard Library.
You can install this package with the standard pip command:
$ pip install logging_tree
The simplest way to use this package is to call printout() to see the loggers, filters, and handlers that your application has configured:
>>> import logging >>> a = logging.getLogger('a') >>> b = logging.getLogger('a.b').setLevel(logging.DEBUG) >>> c = logging.getLogger('x.c')>>> import sys >>> h = logging.StreamHandler(sys.stdout) >>> logging.getLogger().addHandler(h)>>> from logging_tree import printout >>> printout() <--"" Level WARNING Handler Stream <sys.stdout> | o<--"a" | Level NOTSET so inherits level WARNING | | | o<--"a.b" | Level DEBUG | o<--[x] | o<--"x.c" Level NOTSET so inherits level WARNING
If you instead want to write the tree diagram to a file, stream, or other file-like object, use:
file_object.write(logging_tree.format.build_description())
The logging tree should always print successfully, no matter how complicated. A node whose name is in square brackets, like the [x] node above, is a “place holder” that has never itself been named in a getLogger() call, but which was created automatically to serve as the parent of loggers further down the tree.
Propagation
A quick reminder about how logging works: by default, a node will not only submit a message to its own handlers (if any), but will also “propagate” each message up to its parent. For example, a Stream handler attached to the root logger will not only receive messages sent directly to the root, but also messages that propagate up from a child like a.b.
>>> logging.getLogger().warning('message sent to the root') message sent to the root >>> logging.getLogger('a.b').warning('message sent to a.b') message sent to a.b
But messages are not subjected to filtering as they propagate. So a debug-level message, which our root node will discard because the root’s level is set to WARNING, will be accepted by the a.b node and will be allowed to propagate up to the root handler.
>>> logging.getLogger().debug('this message is ignored') >>> logging.getLogger('a.b').debug('but this message prints!') but this message prints!
If both the root node and a.b have a handler attached, then a message accepted by a.b will be printed twice, once by its own node, and then a second time when the message propagates up to the root.
>>> logging.getLogger('a.b').addHandler(h) >>> logging.getLogger('a.b').warning('this message prints twice') this message prints twice this message prints twice
But you can stop a node from propagating messages to its parent by setting its propagate attribute to False.
>>> logging.getLogger('a.b').propagate = False >>> logging.getLogger('a.b').warning('does not propagate') does not propagate
The logging tree will indicate that propagate is turned off by no longer drawing the arrow <-- that points from the node to its parent:
>>> printout() <--"" Level WARNING Handler Stream <sys.stdout> | o<--"a" | Level NOTSET so inherits level WARNING | | | o "a.b" | Level DEBUG | Propagate OFF | Handler Stream <sys.stdout> | o<--[x] | o<--"x.c" Level NOTSET so inherits level WARNING
You can turn propagate back on again by setting the attribute True.
API
Even though most users will simply call the top-level printout() routine, this package also offers a few lower-level calls. Here’s the complete list:
logging_tree.printout(node=None)
Prints the current logging tree, or the tree based at the given node, to the standard output.
logging_tree.format.build_description(node=None)
Builds and returns the multi-line description of the current logger tree, or the tree based at the given node, as a single string with newlines inside and a newline at the end.
logging_tree.format.describe(node)
A generator that yields a series of lines that describe the tree based at the given node. Note that the lines are returned without newline terminators attached.
logging_tree.tree()
Fetch the current tree of loggers from the logging module. Returns a node, that is simply a tuple with three fields:
[0] the logger name ("" for the root logger).[1] the logging.Logger object itself.[2] a list of zero or more child nodes.
You can find this package’s issue tracker on GitHub. You can run this package’s test suite with:
$ python -m unittest discover logging_tree
On older versions of Python you will instead have to install unittest2 and use its unit2 command line tool to run the tests.
Changelog
- Version 1.10 - 2024 May 3
Declare compatibility with Python 3.12, and expand the documentation to describe the basics of log message propagation.
- Version 1.9 - 2021 April 10
Declare compatibility with Python 3.9. Improve how the logging module’s built-in Formatter class is displayed under old Python versions where the logging module uses old-style classes.
- Version 1.8.1 - 2020 January 26
Adjust one test to make it pass under Python 3.8, and update the distribution classifiers to declare compatibility with Python versions through 3.8.
- Version 1.8 - 2018 August 5
Improve the output to better explain what happens if a “parent” attribute has been set to None.
- Version 1.7 - 2016 January 23
Detect whether each logger has the correct “parent” attribute and, if not, print where its log messages are being sent instead.
- Version 1.6 - 2015 January 8
Fixed a crash that would occur if a custom logging Formatter was missing its format string attributes.
- Version 1.5 - 2014 December 24
Handlers now display their logging level if one has been set, and their custom logging formatter if one has been installed.
- Version 1.4 - 2014 January 8
Thanks to a contribution from Dave Brondsema, disabled loggers are now actually marked as “Disabled” to make it less of a surprise that they fail to log anything.
- Version 1.3 - 2013 October 29
Be explicit and display the logger level NOTSET along with the effective level inherited from the logger’s ancestors; and display the list of .filters of a custom logging handler even though it might contain custom code that ignores them.
- Version 1.2 - 2013 January 19
Compatible with Python 3.3 thanks to @ralphbean.
- Version 1.1 - 2012 February 17
Now compatible with 2.3 <= Python <= 3.2.
- Version 1.0 - 2012 February 13
Can display the handler inside a MemoryHandler; entire public interface documented; 100% test coverage.
- Version 0.6 - 2012 February 10
Added a display format for every logging.handlers class.
- Version 0.5 - 2012 February 8
Initial release.
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