Python Logging BasicConfig Stdout

Logging is an essential aspect of any software development process. It helps to debug the problems, verify system behavior, and track down the issues in the code. Python has an inbuilt logging module which allows you to record messages from your applications and troubleshoot problems. The basic logging configuration can be done using the basicConfig method to set up a basic logging configuration.

Setup

To setup basic logging configuration, start by importing the logging module and then call basicConfig method:

import logging

logging.basicConfig(
    level=logging.DEBUG,
    format='[%(asctime)s] %(levelname)s - %(message)s',
    datefmt='%Y-%m-%d %H:%M:%S'
)

This sets the logging level to DEBUG, the format of the log messages, and the date format.

Logging to stdout

To log messages to stdout (standard output), you can use the StreamHandler class.

import logging
import sys

logging.basicConfig(
    level=logging.DEBUG,
    format='[%(asctime)s] %(levelname)s - %(message)s',
    datefmt='%Y-%m-%d %H:%M:%S',
    handlers=[logging.StreamHandler(sys.stdout)]
)

logging.debug('Debug message')
logging.info('Info message')
logging.warning('Warning message')
logging.error('Error message')
logging.critical('Critical message')

This code sets up the logging configuration, creates a new StreamHandler that logs messages to sys.stdout. Then it logs messages to the configured handlers with the message level.

Conclusion

Logging is an essential part of any software development, and Python provides rich features to log messages with different levels and formats. The basicConfig method provides a simple way to set up basic logging configuration, and StreamHandler allows us to log messages to different output devices such as stdout.

By using the logging module and understanding the basic principles and concepts, you can trace the behavior of your application, track down the problems, and debug issues in a systematic way.