Advanced Logger: A Comprehensive Guide for Enhanced Logging Experience

Logging is an essential part of understanding the behavior of an application. With advanced-logger, you get a robust set of tools that streamline this process. This guide will introduce numerous APIs from advanced-logger, complete with code snippets, to elevate your logging experience.

Introduction to advanced-logger

The advanced-logger library provides a versatile logging mechanism with high configurability and advanced features. Whether you’re developing a small-scale application or a large enterprise system, advanced-logger ensures that your logging needs are met efficiently.

API Overview and Code Snippets

1. Basic Configuration

Setting up a basic logger is straightforward with advanced-logger:

 import logging from advanced_logger import AdvancedLogger
logger = AdvancedLogger(__name__) logger.info("This is an info message.") 

2. Logging with Levels

Advanced-logger supports multiple logging levels such as DEBUG, INFO, WARNING, ERROR, and CRITICAL:

 logger.debug("Debug message.") logger.warning("Warning message.") logger.error("Error message.") logger.critical("Critical message.") 

3. Formatting Log Messages

Advanced-logger allows custom formatting of logging messages:

 formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') logger.setFormatter(formatter) 

4. Adding Handlers

You can add multiple handlers like FileHandler or StreamHandler to direct logs to different destinations:

 file_handler = logging.FileHandler('app.log') stream_handler = logging.StreamHandler()
logger.addHandler(file_handler) logger.addHandler(stream_handler) 

5. Custom Filters

The library enables implementing custom filters to control which log records to process:

 class CustomFilter(logging.Filter):
    def filter(self, record):
        return 'special' in record.msg

my_filter = CustomFilter() logger.addFilter(my_filter) 

6. Contextual Log Information

Add contextual information to your logs:

 logger.addContext({'user': 'admin', 'location': 'server1'}) logger.info("Administrative action performed.") 

7. Asynchronous Logging

For performance needs, asynchronous logging can be configured:

 logger.configure(async_mode=True) logger.info("This log message is processed asynchronously.") 

Example Application with advanced-logger

Below is a sample application demonstrating the use of several advanced-logger features covered in this guide:

 from advanced_logger import AdvancedLogger
logger = AdvancedLogger(__name__) logger.addHandler(logging.StreamHandler()) formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') logger.setFormatter(formatter)
class CustomFilter(logging.Filter):
    def filter(self, record):
        return 'special' in record.msg

logger.addFilter(CustomFilter()) logger.configure(async_mode=True) logger.addContext({'user': 'admin', 'location': 'server1'})
def application_logic():
    logger.debug("Starting application logic.")
    logger.info("Performing an important operation.")
    logger.warning("Something may be wrong.")
    logger.error("An error occurred.")
    logger.critical("Critical failure!")

if __name__ == "__main__":
    application_logic()

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