Welcome to cute-logger

If you’re working with Python, you know the importance of robust logging for troubleshooting and monitoring. The cute-logger library offers a simple, yet powerful approach to logging in Python applications. In this guide, we’ll walk you through the features, APIs, and provide practical code snippets to help you get started.

Getting Started

Installing cute-logger is simple using pip:

pip install cute-logger

Basic Configuration

Setting up a basic logger with cute-logger is straightforward. Here’s an example:

 import cute_logger

 # Configure the logger
 logger = cute_logger.get_logger("my_application", level="DEBUG")

 # Log some messages
 logger.debug("This is a debug message")
 logger.info("This is an info message")
 logger.warning("This is a warning message")
 logger.error("This is an error message")
 logger.critical("This is a critical message")

Advanced Features

cute-logger comes with several advanced features:

Custom Formatting

You can customize the log format to include specific details:

 import cute_logger

 custom_format = "{time} - {name} - {level} - {message}"
 logger = cute_logger.get_logger("custom_logger", level="INFO", format=custom_format)

Log Rotation

cute-logger supports log rotation to manage log file sizes and archive old logs:

 import cute_logger

 logger = cute_logger.get_logger("rotating_logger", level="INFO", rotate=True, backup_count=5)

JSON Logging

For applications that need structured logging, cute-logger can output logs in JSON format:

 import cute_logger

 logger = cute_logger.get_logger("json_logger", level="INFO", json=True)

Integrating cute-logger in an Application

Here’s a complete example of using cute-logger in a simple Python application:

 import cute_logger

 def main():
     logger = cute_logger.get_logger("app_logger", level="DEBUG")
     
     logger.info("Starting the application")
     try:
         # Simulate some operations
         logger.debug("Performing operation 1")
         result = 10 / 0  # This will cause an error
     except ZeroDivisionError:
         logger.error("Caught an error!")
     
     logger.info("Ending the application")

 if __name__ == "__main__":
     main()

Conclusion

cute-logger is a versatile and easy-to-use logging library for Python that can enhance your application’s logging capabilities. With features like custom formatting, log rotation, and JSON logging, cute-logger is equipped to handle a variety of logging needs.

Get started with cute-logger today and simplify your Python logging!

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