Python Log Helper is a small class designed to simplify the use of the built-in Python Logging Module.
It has no dependencies, and should be compatible with most versions of Python 2.x and 3.x (though we still recommend a minimum of 3.4).
It was originally created by Chris (Someguy123) for use in personal Python projects, as well as for use in projects developed at Privex Inc.
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Python Log Helper was created by Privex Inc. of Belize City, and licensed under the X11/MIT License. See the file LICENSE for the license text.
TL;DR; license:
We offer no warranty. You can copy it, modify it, use it in projects with a different license, and even in commercial (paid for) software.
The most important rule is - you MUST keep the original license text visible (see LICENSE
) in any copies.
We're happy to accept pull requests, no matter how small.
Please make sure any changes you make meet these basic requirements:
- No additional dependencies. We want LogHelper to be lightweight and painless to install.
- Any code taken from other projects should be compatible with the MIT License
- This is a new project, and as such, supporting Python versions prior to 3.4 is very low priority.
- However, we're happy to accept PRs to improve compatibility with older versions of Python, as long as it doesn't:
- drastically increase the complexity of the code
- OR cause problems for those on newer versions of Python.
Python 3
pip3 install privex-loghelper
Python 2
pip install privex-loghelper
Option 1 - Use pip to install straight from Github
pip3 install git+https://github.com/Privex/python-loghelper
Option 2 - Clone and install manually
# Clone the repository from Github
git clone https://github.com/Privex/python-loghelper
cd python-loghelper
# RECOMMENDED INSTALL METHOD
# Use pip to install the source code
pip3 install .
# ALTERNATIVE INSTALL METHOD
# If you don't have pip, or have issues with installing using it, then you can use setuptools instead.
python3 setup.py install
The code is very well documented, you can find out all usage documentation in LogHelper.py.
All functions are type annotated, with detailed pydoc block comments. If you're using a Python optimised IDE such as PyCharm it should offer code completion and help when using the package.
The most basic usage is to simply initialise the class with no parameters, and attach a file handler to send log output to a file.
# Import the class
from privex.loghelper import LogHelper
# The first param is logger_name - a hierarchical dot-separated name to organise loggers.
# If it's not specified, or is None, it will use the root logger (which will affect some
# third-party packages that don't have their own logging settings)
lh = LogHelper('mylogger')
# Log to a file called test.log in the current directory
lh.add_file_handler('test.log')
# Grab the logger instance
log = lh.get_logger()
# Now let's log 'hello world' to the file.
log.info('hello world')
After running the above, test.log
should contain:
2018-12-05 22:05:18,915 root INFO hello world
Third party packages often use their own logging instance names. To make it easy for you to copy your settings
to other instances, you can use the copy_logger(name)
method.
# Set up logging for your app, log anything >=INFO
lh = LogHelper('myapp', handler_level=logging.INFO)
# Log to a file called test.log in the current directory (note: absolute path is better)
lh.add_file_handler('test.log')
# Now copy your logging level, handlers, and formatting to the logger privex.jsonrpc
lh.copy_logger('privex.jsonrpc')
# You can specify multiple logger names as positional arguments. All specified loggers will
# have their handlers replaced with yours, and have their logging level set to match.
lh.copy_logger('example.app', 'otherexample')
After copying your settings onto a named logger, all logging using that logger should use your specified handlers, and your log level.
This covers modules that access the logger via logging.getLogger('loggername')
, as well as via Python Logging wrappers
such as privex-loghelper.
Something that can make it easier to sift through logs, is to split your normal debug logs from warnings and errors.
Using the standard logging
module, this could take 10 lines of code, and is highly repetitive.
With the Python Log Helper, it's just a few lines.
# Import the class
from privex.loghelper import LogHelper
# Import logging to be able to specify the verbosity levels
import logging
# The global level (kwarg `level`) defaults to DEBUG, but the default handler level is only INFO.
# You can specify handler_level to change that.
# To help prevent conflicts from other python packages which use the root ('') logger, you should set a custom
# logger name.
lh = LogHelper(logger_name='my_app', handler_level=logging.DEBUG)
# Log messages that are DEBUG (default handler and global logging level) or higher to `debug.log`
lh.add_file_handler('debug.log')
# Log only WARNING or above to `error.log`
lh.add_file_handler('error.log', level=logging.WARNING)
# Grab the logger instance
log = lh.get_logger()
# To test that logs are being sent to the correct files, let's try an `info`, a `warning` and an `error` log message.
log.info('something normal is happening')
log.warning('something strange is happening')
log.error('something VERY BAD is happening')
After running the above Python script, you should see the following log files:
debug.log
2018-12-05 22:10:25,253 root INFO something normal is happening
2018-12-05 22:10:25,254 root WARNING something strange is happening
2018-12-05 22:10:25,256 root ERROR something VERY BAD is happening
error.log
2018-12-05 22:10:25,254 root WARNING something strange is happening
2018-12-05 22:10:25,256 root ERROR something VERY BAD is happening
As you can see, the debug.log
saved all of the messages, while error.log
only saved the warning and the error.
You can also have painless log rotation, without the need for something like logrotated
.
The LogHelper class has a function add_timed_file_handler
which wraps logging.handler.TimedRotatingFileHandler
.
Simply specify the type of interval (when
) to rotate with, how often it should rotate (interval
), and how many intervals you
would like to keep before deleting older ones (backups
). Set backups
to 0 if you don't want it to delete older logs.
For more information on interval
, when
and backups
,
see the official logging docs
By default, logs are rotated once (interval=1) per day (when='D'), and removed after 14 days (backups=14).
# Import the class
from privex.loghelper import LogHelper
# Using sleep to simulate time passing
from time import sleep
lh = LogHelper()
# Log to a file called test.log in the current directory
# Rotate the log every minute, and only keep up to 60 minutes of logs
lh.add_timed_file_handler('test.log', when='M', interval=1, backups=60)
# Grab the logger instance
log = lh.get_logger()
# Now let's log 'hello world' to the file.
log.info('hello world')
log.info('hello world 2')
sleep(60)
log.info('hello world 3')
We can now see it's generated two timestamped logs, since the interval was set to 1 minute.
$ ls -l
-rw-r--r-- 1 user users 58 5 Dec 22:58 test.log.2018-12-05_22-58
-rw-r--r-- 1 user users 58 5 Dec 22:59 test.log.2018-12-05_22-59
$ cat test.log.2018-12-05_22-58
2018-12-05 22:58:24,600 root INFO hello world
2018-12-05 22:58:24,743 root INFO hello world 2
$ cat test.log.2018-12-05_22-59
2018-12-05 22:59:25,512 root INFO hello world 3
For applications with concurrency like those built on modern Django, you may need to use ConcurrentLogHandler for the logs to work correctly, if you want to use this, you'll need to install the package with the concurrent extra like so:
pip3 install 'privex-loghelper[concurrent]'
Or if this doesn't work, install ConcurrentLogHandler by hand:
pip3 install ConcurrentLogHandler
Now you may pass concurrent=True
to the add_timed_file_handler
method, to use ConcurrentLogHandler instead of the standard one:
lh.add_timed_file_handler('test.log', when='M', interval=1, backups=60, concurrent=True)
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