Features

• automatically-named per-file logfiles, specifically written next to the source files.

• special __debug__ log, where tagged functions can have all of their input/output/errors safely reported completely transparently and without interference.

• different log message levels, just like the ‘logging’ builtin.

• recursive calls in __debug__ are indented, so determining function call depth is natural.

Installation

To install globally, run:

sudo pip install litelog

To install locally (such as within a virtual environment), run:

pip install litelog

Usage

The following is copy-and-pasteable code, so long as litelog is available globally:

####################################
# SETTING UP THE LOGGER
import os
import litelog
ROOTPATH = os.path.splitext(__file__)[0]
LOGPATH = "{0}.log".format(ROOTPATH) # this simply specifies the absolute path -- feel free to change this.
LOGGER = litelog.get(__name__, path=LOGPATH)
LOGGER.info("----------BEGIN----------")

# do the following step if you want
# a global 'debug' log file:
litelog.set_debug(__file__)
####################################

When pasted at the top of your program, the above lines:

• create a logger specifically for the current file, with the same name (ex: test.py -> test.log)

• add a starting line/delimiter to the log, to indicate separate module imports/runs (by default, the logs are appended to)

• creates an optional global “debug” logger, which can record the I/O/Errors of any function tagged with ‘@litelog.logwrap’ (set_debug() should only be called once)

Here are the actual use case examples:

@litelog.logwrap # <--- do this if you want a __debug__.log to record I/O/Error of function calls
def f():
    ...
    LOGGER.info('just a test') # <--- do this if you want to log custom
                               #      messages to the script's personal log.

####################################
# logging levels:
LOGGER.debug   (...)
LOGGER.info    (...)
LOGGER.warning (...)
LOGGER.error   (...)
LOGGER.critical(...)