Advanced Logger: Your Ultimate Tool for Robust Logging

Logging is an integral part of any software application development process. A reliable logger helps developers track the flow of their application and debug issues effectively. Today, we introduce advanced-logger, a powerful and versatile logging library designed to provide enhanced features over traditional loggers.

Features of Advanced Logger

• Multiple Log Levels: INFO, DEBUG, WARN, ERROR
• Custom Handlers and Formatters
• File and Console Output
• Asynchronous Logging
• Structured Logging
• Contextual Logger Configuration
• Easy Integration with Existing Systems

Getting Started with Advanced Logger

Let’s dive into the APIs provided by advanced-logger along with code snippets to help you get started quickly.

Installation

pip install advanced-logger

Basic Usage

 from advanced_logger import Logger
logger = Logger(name="my_logger")
logger.info("This is an info message") logger.debug("This is a debug message") logger.warn("This is a warning message") logger.error("This is an error message") 

Custom Handlers

 from advanced_logger import Logger, FileHandler, ConsoleHandler
logger = Logger(name="custom_logger") file_handler = FileHandler("logfile.log") console_handler = ConsoleHandler()
logger.add_handler(file_handler) logger.add_handler(console_handler)
logger.info("Logging to both file and console") 

Custom Formatters

 from advanced_logger import Logger, Formatter
logger = Logger(name="formatted_logger") formatter = Formatter("%(levelname)s - %(message)s") logger.set_formatter(formatter)
logger.info("This is an info message with custom format") 

Asynchronous Logging

 from advanced_logger import Logger import threading, time
logger = Logger(name="async_logger", async_mode=True)
def log_messages():
    for i in range(5):
        logger.info(f"Async log message {i}")
        time.sleep(1)

thread = threading.Thread(target=log_messages) thread.start() thread.join() 

Structured Logging

 from advanced_logger import Logger, StructuredFormatter
logger = Logger(name="structured_logger") formatter = StructuredFormatter(fmt="%(timestamp)s - %(levelname)s - %(message)s - %(data)s")
logger.set_formatter(formatter) logger.info("Structured log message", data={"key": "value"}) 

Real-World Application Example

 from advanced_logger import Logger, FileHandler, ConsoleHandler, Formatter
class MyApp:
    def __init__(self):
        self.logger = Logger(name="my_app_logger")
        file_handler = FileHandler("app.log")
        console_handler = ConsoleHandler()
        formatter = Formatter("%(levelname)s:%(name)s:%(message)s")

        self.logger.add_handler(file_handler)
        self.logger.add_handler(console_handler)
        self.logger.set_formatter(formatter)

    def run(self):
        self.logger.info("Application started")
        try:
            # Application logic here
            self.logger.debug("Running application logic")
            result = 10 / 0  # This will cause an exception
        except Exception as e:
            self.logger.error(f"An error occurred: {e}")
        self.logger.info("Application finished")

if __name__ == "__main__":
    app = MyApp()
    app.run()

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With advanced-logger, you can take your application’s logging to the next level, making debugging and monitoring processes much more efficient.

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