Introduction to Jist Logger
Jist Logger is a powerful and flexible logging library designed to simplify and enhance the way you handle logging in your applications. Whether you are building a simple script or a complex application, Jist Logger provides you with the tools and APIs to manage your logging needs efficiently. In this guide, we will explore some of the most useful APIs provided by Jist Logger, complete with code snippets and an application example to help you get started.
Basic Logging
import jist_logger logger = jist_logger.getLogger(__name__) logger.info('This is an info message') logger.debug('This is a debug message') logger.error('This is an error message')
Custom Log Levels
import jist_logger logger = jist_logger.getLogger(__name__) logger.setLevel(jist_logger.DEBUG) 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')
File Logging
import jist_logger from jist_logger.handlers import FileHandler logger = jist_logger.getLogger(__name__) file_handler = FileHandler('app.log') logger.addHandler(file_handler) logger.info('This message will be logged to a file')
Rotating File Handler
import jist_logger from jist_logger.handlers import RotatingFileHandler logger = jist_logger.getLogger(__name__) rotating_handler = RotatingFileHandler('app.log', maxBytes=2000, backupCount=5) logger.addHandler(rotating_handler) logger.info('This message will be logged to a rotating file')
Console Logging
import jist_logger from jist_logger.handlers import StreamHandler logger = jist_logger.getLogger(__name__) console_handler = StreamHandler() logger.addHandler(console_handler) logger.info('This message will be logged to the console')
Formatting Log Messages
import jist_logger from jist_logger import Formatter logger = jist_logger.getLogger(__name__) console_handler = jist_logger.handlers.StreamHandler() formatter = Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') console_handler.setFormatter(formatter) logger.addHandler(console_handler) logger.info('This log message will have a custom format')
Logging Exceptions
import jist_logger logger = jist_logger.getLogger(__name__) try: 1 / 0 except ZeroDivisionError: logger.exception('An exception occurred')
Application Example
import jist_logger from jist_logger.handlers import FileHandler, StreamHandler from jist_logger import Formatter def main(): logger = jist_logger.getLogger('my_application') logger.setLevel(jist_logger.DEBUG) file_handler = FileHandler('app.log') console_handler = StreamHandler() formatter = Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') file_handler.setFormatter(formatter) console_handler.setFormatter(formatter) logger.addHandler(file_handler) logger.addHandler(console_handler) logger.info('This is an info message') logger.debug('This is a debug message') logger.error('This is an error message') if __name__ == '__main__': main()
By following this guide, you can now leverage the extensive capabilities of Jist Logger to enhance the logging functionality of your applications, making them more robust and easier to debug.
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