logease 0.1.0

A Python logging library designed to replace traditional logging mechanisms using decorators and modules.

Logease

Logease is a lightweight Python library designed to simplify and enhance logging by eliminating the need for traditional loggers. With Logease , you can effortlessly integrate logging into your applications using decorators and modules. The library leverages the Singleton pattern to ensure that your logging system is efficient, centralized, and easy to manage.

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Key Features:

• Singleton Logger : Initialize your logger once and use it throughout your application.
• Decorator Support : Easily add logging to your functions with the @log_wrapper decorator.
• Modular Design : Use the Logger module to customize and extend logging capabilities as needed.
• Minimalist Approach : Focus on your code, not the logging implementation.

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Logease aims to streamline the logging process, making it more intuitive and less intrusive. Say goodbye to the clutter of traditional loggers and embrace a cleaner, more modern approach with Logease .

Usage

Basic Example

from logease.decorators import log_wrapper
from logease.modules import Logger

# Initialize the logger (singleton pattern)
logger = Logger()

@log_wrapper
def example_function(param):
    # Function logic here
    return f"Received {param}"

if __name__ == "__main__":
    logger.info("Starting application...")
    result = example_function("Logease")
    logger.info(f"Result: {result}")
    logger.info("Application finished.")

Customizing the Logger

You can customize the logger by passing configurations to the Logger module:

from logease.modules import Logger

# Custom logger with specific settings
logger = Logger(level="DEBUG", format="%(asctime)s - %(levelname)s - %(message)s")

logger.debug("This is a debug message")

Using the Decorator

The @log_wrapper decorator automatically logs the entry, exit, and execution time of functions:

from logease.decorators import log_wrapper

@log_wrapper
def complex_calculation(x, y):
    # Complex calculations here
    return x + y

result = complex_calculation(10, 20)

Contributing

Contributions are welcome! Please open an issue or submit a pull request on GitHub.