ultra-logger 0.1.1

This Python package provides a robust and customizable logger that simplifies the process of recording messages and events in your applications. It leverages the power of the `colorlog` library to enhance readability and debugging capabilities.

Custom Logger: Enhanced Logging for Your Python Applications

Introduction

This Python package provides a robust and customizable logger that simplifies the process of recording messages and events in your applications. It leverages the power of the colorlog library to enhance readability and debugging capabilities.

Key Features

• Flexible Log Levels: Supports standard logging levels (DEBUG, INFO, WARNING, ERROR, and CRITICAL) to categorize messages based on severity.
• Colorized Output: Leverages colorlog to display log messages in distinct colors, improving visual clarity.
• File and Console Logging: Logs messages to a specified file and optionally to the console for immediate feedback.
• Customizable Formatting: Control the appearance of log messages using formatters for both file and console output.
• Dynamic Console Logging: Enable or disable console logging at runtime to manage verbosity during development.
• Handler Management: Add, remove, or adjust logging handlers to tailor logging behavior.
• Default Loggers: Provides convenient wrappers for standard logging methods (debug, info, warning, error, critical, and exception).
• Session Logging: Decorator function log_session to enclose a block of code with logging messages for session tracking.
• Log File Reading: Utility function read_log_file to conveniently read and display the contents of the log file.
• Log File Clearing: Optional clear_log_file method to clear existing log data.

Installation

To install the custom_logger package from PyPI (the Python Package Index), use the following command in your terminal:

pip install custom_logger

Usage

1. Import the Logger Class:

   from custom_logger import Logger
   

2. Create a Logger Instance:

   logger = Logger(log_name='my_logger', log_file='app.log', log_to_console=True)
   

   • log_name: A descriptive name for your logger (e.g., 'my_logger').
   • log_file: The path to the log file where messages will be saved.
   • log_to_console (optional, defaults to True): Whether to log messages to the console.

3. Log Messages:

   logger.log_message('info', 'This is an informative message.')
   logger.warning('This is a warning message.')
   logger.error('This is an error message.')
   logger.critical('This is a critical message.')
   

4. Default Loggers:

   logger.info('This is a general message.')
   logger.warning('This requires attention.')
   logger.exception('An exception occurred!', exc_info=True)  # Optional exception info
   

5. Session Logging:

   @logger.log_session
   def my_function():
       # Your code here
       logger.info('Processing completed.')
   

   The log_session decorator automatically logs the start and end of the function execution.

6. Read Log File:

   logger.read_log_file()
   

7. Clear Log File (optional):

   logger.clear_log_file()  # Use with caution
   

Advanced Usage

• Dynamic Console Logging:

  logger.disable_console_logging()  # Disable console logging
  logger.enable_console_logging()   # Re-enable console logging
  

• Handler Management:

  Refer to the source code for details on adding, removing, or modifying logging handlers.

Customization

For advanced customization, consult the source code to modify formatting options for file and console output or create custom handlers.

Contributing

We welcome contributions to improve this logger. Feel free to submit pull requests on GitHub!

License

This project is licensed under the MIT License. See the LICENSE file for details.