This repo is on a simple paradigm to set up module logging in a python project. It features

• providing a helper module for global logging configuration
• presenting an example that demos mixed logs from single process and also parallel processes

In this simple paradigm, we define a logger in each python module with one line as follows

mylogger = logging.getLogger(__name__)

Within the module, logging will be something like

mylogger.info('data are fetched.')

The module loggers will propagate to the root logger for handling, which is able to be configured globally by the helper functions in applogger.py.

This repo contains an example to demo how to log for both single and multiple processes. The example consists of 3 files

main.py
featureselection.py
dataprocess.py

where main.py is the place showing how to configure logs produced by two modules featureselection.py (single processing) and dataprocess.py (multiple processing). Within each of these two modules, only one line is used to define the module logger as mentioned above.