Introduction to Advanced Logger

The Advanced Logger is an exceptional tool designed to simplify the process of application debugging and monitoring. With dozens of useful APIs, Advanced Logger ensures that developers can efficiently track, record, and manage logs within their applications. This post will delve into some of these APIs with practical examples to optimize your logging strategy and enhance overall application performance.

API Explanations and Code Snippets

1. Basic Logging

Begin with the basics of logging messages.

  logger.info("This is an information message.")
  logger.error("This is an error message.")

2. Logging Levels

Advanced Logger provides several levels of logging to categorize messages effectively.

  logger.debug("Debug level log message.")
  logger.info("Information level log message.")
  logger.warn("Warning level log message.")
  logger.error("Error level log message.")
  logger.fatal("Fatal level log message.")

3. Custom Log Formatting

Custom formatting allows you to include specific information such as timestamps, log levels, and more.

  logger.setFormatter("%(asctime)s - %(name)s - %(levelname)s - %(message)s")
  logger.info("Custom formatted log message.")

4. Logging Exceptions

Capture and log exception stacks to facilitate debugging.

  try:
    # code that may raise an exception
    1 / 0
  except Exception as e:
    logger.exception("Exception occurred: %s", e)

5. Rotating Logs

Manage log file sizes by rotating logs to prevent overwhelming the filesystem.

  handler = RotatingFileHandler("app.log", maxBytes=2000, backupCount=5)
  logger.addHandler(handler)
  logger.info("This message will be in a rotating log.")

6. Conditional Logging

Log messages under specific conditions to ensure relevant data is captured.

  if some_condition:
    logger.info("Condition met, logging this message.")

7. Asynchronous Logging

Implement asynchronous logging to improve application performance by offloading log operations.

  import asyncio

  async def log_async_message():
    logger.info("This is an asynchronous log message.")

  asyncio.run(log_async_message())

Example Application with Advanced Logger

Below is an example application demonstrating the use of several Advanced Logger APIs for effective logging:

  import logging
  from logging.handlers import RotatingFileHandler

  # Initialize logger
  logger = logging.getLogger("exampleApp")
  logger.setLevel(logging.DEBUG)

  # Create a file handler for logging
  handler = RotatingFileHandler("exampleApp.log", maxBytes=5000, backupCount=2)
  formatter = logging.Formatter("%(asctime)s - %(name)s - %(levelname)s - %(message)s")
  handler.setFormatter(formatter)
  logger.addHandler(handler)

  try:
    logger.info("Application started")
    
    # Simulate some application behavior
    logger.debug("Performing a debug operation")
    raise ValueError("Unexpected value encountered!")
    
  except Exception as e:
    logger.exception("An exception occurred: %s", e)
  finally:
    logger.info("Application finished")

  # Asynchronous logging
  import asyncio

  async def async_operation():
    logger.info("Starting async operation.")
    await asyncio.sleep(1)
    logger.info("Async operation complete.")

  asyncio.run(async_operation())

By leveraging the diverse features of Advanced Logger, developers can maintain insightful logs, streamline debugging processes, and ensure smooth application monitoring. Integrating the Advanced Logger into your applications provides a comprehensive solution for logging needs.

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