Introduction to Augment Logger

Logging is an essential part of any software development process. It allows developers to track events, monitor application flow, and diagnose issues effectively. Augment Logger is a powerful logging library in Python that brings enhanced capabilities to traditional logging practices. In this article, we will explore several useful APIs of Augment Logger along with some practical code examples to help you integrate logging into your Python applications effortlessly.

Augment Logger

The Augment Logger library offers a variety of features such as conditional logging, log rotation, log formatting, and more. Below are some important APIs with their usage examples:

Basic Configuration

Let’s start with the basic configuration of Augment Logger:

  import augment_logger as al

  logger = al.get_logger(__name__)
  logger.info('This is an info message')
  logger.warning('This is a warning message')
  logger.error('This is an error message')

Conditional Logging

Conditional logging can be useful when you want to log messages based on some conditions:

  condition = True

  def conditional_log():
      if condition:
          logger.debug('Condition met, logging debug message')

  conditional_log()

Log Rotation

Log rotation helps in preventing log files from becoming too large:

  handler = al.handlers.RotatingFileHandler('app.log', maxBytes=10000, backupCount=5)
  logger.addHandler(handler)

  logger.info('This is a rotated log message')

Log Formatting

Customizing log format can make your logs more readable and informative:

  formatter = al.formatters.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
  handler.setFormatter(formatter)

  logger.info('This log entry uses custom formatting')

Application Example

Here is an example application that demonstrates use of all the discussed features of Augment Logger:

  import augment_logger as al

  def main():
      # Basic configuration
      logger = al.get_logger(__name__)

      # Log rotation
      handler = al.handlers.RotatingFileHandler('app.log', maxBytes=10000, backupCount=5)
      formatter = al.formatters.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
      handler.setFormatter(formatter)
      logger.addHandler(handler)

      logger.info('Application start')

      # Conditional logging
      condition = True
      if condition:
          logger.debug('Running application with condition set to True')

      try:
          # Simulate application logic
          result = 10 / 2
          logger.info(f'Computation result: {result}')
      except Exception as e:
          logger.error(f'Error occurred: {str(e)}')

      logger.info('Application end')

  if __name__ == '__main__':
      main()

With Augment Logger, you can efficiently manage logs in your Python applications, making it easier to monitor and debug as needed.

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