LoggingDecorator

About

LoggingDecorator is a MIT licensed general-purpose software package written in Python that simplyfies the task of logging methods of other Python scripts.

Getting Started

To install this package you can just type in your Python terminal:

pip install logging-decorator

Requirements

This Python package only works with Python 3.6 or later.

Usage

The simplest use case is logging a generic method and displaying the log on screen.

from LoggingDecorator import logd

@logd
def foo():
  print('foo method')

def main():
  foo()

if __name__ == '__main__'
  main()

Features

• Generate .log files inside a log folder in the current working directory.

from LoggingDecorator import logd

@logd(file=True)
def foo():
  print('foo method')

def main():
  foo()

if __name__ == '__main__'
  main()

• Continue running the script if an exception is raised:

from LoggingDecorator import logd

@logd(raise_error=False)
def foo():
  print('foo method')

def main():
  foo()

if __name__ == '__main__'
  main()

• Set logging level:

from LoggingDecorator import logd

@logd(logging_level='critical')
def foo():
  print('foo method')

def main():
  foo()

if __name__ == '__main__'
  main()

• The available options are: critical, error, warning, info, debug and notset.

Output Sample

Supose that you have a foo project with the following structure:

📦foo
 ┗ 📜foo.py

And the contents of the foo.py file is the following:

from time import sleep
from LoggingDecorator import logd

@logd(file=True, logging_level='debug')
def foo_sum(a:int, b:int=1):
    sleep(3)
    return a+b

@logd(file=False, raise_error=True)
def foo_div(a:int, b:int=0):
    return a/b

def main():
    foo_sum(1)
    foo_div(5)
    
if __name__=='__main__':
    main()

The method foo_sum will print and generate a file like ./foo/log/foo_foo_sum_28Aug2021_114203.log with the following content:

2021-08-28 11:42:03,695 - Working directory:     /absolute/path/to/foo
2021-08-28 11:42:03,695 - Module name:           __main__
2021-08-28 11:42:03,696 - Method name:           foo_sum
2021-08-28 11:42:03,696 - Error message:         None
2021-08-28 11:42:03,696 - Start time:            2021-08-28 11:42:00.690282
2021-08-28 11:42:03,696 - End time:              2021-08-28 11:42:03.694016
2021-08-28 11:42:03,696 - Elapsed time:          0:00:03.003734
2021-08-28 11:42:03,697 - Variables:             (a: int, b: int = 1)
2021-08-28 11:42:03,697 - Args:                  None
2021-08-28 11:42:03,697 - Kwargs:                None
2021-08-28 11:42:03,697 - Log path:              /absolute/path/to/foo/log/foo_foo_sum_28Aug2021_114203.log

And the foo_div will generate the following message in your screen:

2021-08-28 11:42:03,698 - Module name:           __main__
2021-08-28 11:42:03,699 - Method name:           foo_div
2021-08-28 11:42:03,699 - Error message:         division by zero
2021-08-28 11:42:03,699 - Start time:            2021-08-28 11:42:03.698178
2021-08-28 11:42:03,699 - End time:              2021-08-28 11:42:03.698622
2021-08-28 11:42:03,699 - Elapsed time:          0:00:00.000444
2021-08-28 11:42:03,700 - Variables:             (a: int, b: int = 0)
2021-08-28 11:42:03,700 - Args:                  (5,)
2021-08-28 11:42:03,700 - Kwargs:                {}
2021-08-28 11:42:03,700 - Log path:              None
Traceback (most recent call last):
  File "/absolute/path/to/foo/foo.py", line 18, in <module>
    main()
  File "//absolute/path/to/foo/foo/foo.py", line 15, in main
    foo_div(5)
  File "/local/python/path/site-packages/LoggingDecorator/LoggingDecorator.py", line 33, in wrapped_function
    return LoggingDecorator(*dargs, **dkwargs).call(original_method, *args, **kwargs)
  File "/local/python/path/site-packages/LoggingDecorator/LoggingDecorator.py", line 78, in call
    return self._summary(original_method, 
  File "/local/python/path/site-packages/LoggingDecorator/LoggingDecorator.py", line 149, in _summary
    raise LogException(error_message)
LoggingDecorator.LoggingDecorator.LogException: LogException[division by zero]

Authors

• @lkellermann - Idea & Initial work