Comprehensive Guide to Kosher Logger for Seamless Logging in Applications

Introduction to Kosher Logger

Kosher Logger is an efficient and flexible logging library designed to bring
simplicity and ease of use to developers. This library supports various logging
levels and formats to suit different application needs.

Getting Started

Installation is straightforward. You can install Kosher Logger via pip:

  `pip install kosher-logger`

Basic Usage

To start using Kosher Logger, you need to import the library and instantiate a logger:

  `from kosher_logger import Logger

  logger = Logger(name="myLogger")

  logger.info("This is an info message")
  logger.warning("This is a warning message")
  logger.error("This is an error message")`

Advanced Usage

Kosher Logger provides numerous API methods for advanced logging:

  `# Set custom log level
  logger.setLevel("DEBUG")

  # Log a debug message
  logger.debug("This is a debug message")

  # Log a critical message
  logger.critical("This is a critical message")

  # Adding handlers
  stream_handler = logger.addStreamHandler()
  file_handler = logger.addFileHandler("app.log")

  # Formatting the log output
  formatter = logger.setFormatter("%(levelname)s - %(message)s")
  stream_handler.setFormatter(formatter)
  file_handler.setFormatter(formatter)

  # Log with exception
  try:
      1/0
  except ZeroDivisionError as e:
      logger.exception("An exception occurred")
  `

Application Example

Here is a sample application using Kosher Logger:

  `from kosher_logger import Logger

  def divide(a, b):
      logger = Logger(name="appLogger")
      try:
          result = a / b
          logger.info(f"Division successful: {result}")
          return result
      except ZeroDivisionError:
          logger.error("Division by zero is not allowed")

  if __name__ == "__main__":
      divide(10, 2)
      divide(10, 0)`

Conclusion

Kosher Logger is a powerful yet easy-to-use logging library for Python applications.
Its flexibility in usage and extensive API support make it an excellent choice for
developers aiming for efficient logging mechanisms.

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