Understanding and Maximizing wrap-logger for Seamless Logging

wrap-logger is a powerful and versatile logging library for modern applications. The package offers numerous APIs to customize and control logging behavior effectively. This guide introduces wrap-logger with examples to help you maximize its utilities in your projects.

Installation

 pip install wrap-logger 

Basic Usage

  from wrap_logger import Logger
logger = Logger(name="my_logger") logger.info("This is an info message") logger.error("This is an error message")  

Advanced Configurations

Configure log level to filter messages:

  logger.set_level("DEBUG")  # Show debug and higher level messages logger.debug("This is a debug message") logger.warning("This is a warning message")  

Log messages to a file:

  logger.set_output("my_logs.log") logger.info("This message will be saved to the log file")  

Custom Formatter

  formatter = "{time} - {level} - {message}" logger.set_formatter(formatter) logger.info("This message has a custom format")  

Tagging and Contextual Logging

  logger.tag("USER_EVENT") logger.info("User logged in")
with logger.context(user_id=123):
    logger.info("Fetched user details")
 

Example Application

Here’s an example of how to use wrap-logger in a simple application:

  from wrap_logger import Logger
def fetch_data(user_id):
    logger.info(f"Fetching data for user {user_id}")
    # Simulate data fetching
    if user_id == 1:
        logger.error("User not found")
        return None
    return {"user_id": user_id, "data": "Sample data"}

def main():
    logger = Logger(name="app_logger", level="DEBUG")
    logger.set_output("app.log")
    logger.info("Application started")

    user_data = fetch_data(1)
    if user_data:
        logger.info(f"Data fetched successfully: {user_data}")
    else:
        logger.error("Failed to fetch user data")

    logger.info("Application finished")

if __name__ == "__main__":
    main()
 

Using wrap-logger, developers can easily log messages at various levels of verbosity, direct output to files, apply custom formats, and maintain context-aware logging. Whether debugging or monitoring application behavior, wrap-logger is an indispensable tool for efficient logging.

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