Comprehensive Guide to Jist Logger and Its Myriad of APIs for Enhanced Logging Functionality

Introduction to Jist Logger

Jist Logger is a powerful and flexible logging library designed to simplify and enhance the way you handle logging in your applications. Whether you are building a simple script or a complex application, Jist Logger provides you with the tools and APIs to manage your logging needs efficiently. In this guide, we will explore some of the most useful APIs provided by Jist Logger, complete with code snippets and an application example to help you get started.

Basic Logging

  import jist_logger

  logger = jist_logger.getLogger(__name__)
  logger.info('This is an info message')
  logger.debug('This is a debug message')
  logger.error('This is an error message')

Custom Log Levels

  import jist_logger

  logger = jist_logger.getLogger(__name__)
  logger.setLevel(jist_logger.DEBUG)

  logger.debug('This is a debug message')
  logger.info('This is an info message')
  logger.warning('This is a warning message')
  logger.error('This is an error message')
  logger.critical('This is a critical message')

File Logging

  import jist_logger
  from jist_logger.handlers import FileHandler

  logger = jist_logger.getLogger(__name__)
  file_handler = FileHandler('app.log')
  logger.addHandler(file_handler)

  logger.info('This message will be logged to a file')

Rotating File Handler

  import jist_logger
  from jist_logger.handlers import RotatingFileHandler

  logger = jist_logger.getLogger(__name__)
  rotating_handler = RotatingFileHandler('app.log', maxBytes=2000, backupCount=5)
  logger.addHandler(rotating_handler)

  logger.info('This message will be logged to a rotating file')

Console Logging

  import jist_logger
  from jist_logger.handlers import StreamHandler

  logger = jist_logger.getLogger(__name__)
  console_handler = StreamHandler()
  logger.addHandler(console_handler)

  logger.info('This message will be logged to the console')

Formatting Log Messages

  import jist_logger
  from jist_logger import Formatter

  logger = jist_logger.getLogger(__name__)
  console_handler = jist_logger.handlers.StreamHandler()
  formatter = Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
  console_handler.setFormatter(formatter)
  logger.addHandler(console_handler)

  logger.info('This log message will have a custom format')

Logging Exceptions

  import jist_logger

  logger = jist_logger.getLogger(__name__)

  try:
      1 / 0
  except ZeroDivisionError:
      logger.exception('An exception occurred')

Application Example

  import jist_logger
  from jist_logger.handlers import FileHandler, StreamHandler
  from jist_logger import Formatter

  def main():
      logger = jist_logger.getLogger('my_application')
      logger.setLevel(jist_logger.DEBUG)

      file_handler = FileHandler('app.log')
      console_handler = StreamHandler()

      formatter = Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
      file_handler.setFormatter(formatter)
      console_handler.setFormatter(formatter)

      logger.addHandler(file_handler)
      logger.addHandler(console_handler)

      logger.info('This is an info message')
      logger.debug('This is a debug message')
      logger.error('This is an error message')

  if __name__ == '__main__':
      main()

By following this guide, you can now leverage the extensive capabilities of Jist Logger to enhance the logging functionality of your applications, making them more robust and easier to debug.

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