What is debugging (debug) in the context of logging?

Debugging in the context of logging is a level of log detail intended to record information useful for developers and testers during the process of finding and fixing errors.

Debug level logs contain detailed data about the program's execution:

• Variable values at key points.
• Function and method calls.
• Results of intermediate operations.
• Internal states of components.

Example of usage in code:

import logging

# Setting the log level
logging.basicConfig(level=logging.DEBUG)

def process_data(data):
    logging.debug(f"Processing data: {data}")
    # Processing logic
    result = data * 2
    logging.debug(f"Processed data result: {result}")
    return result

# Running the function with DEBUG level logging
process_data(10)

In production, debug level logging is usually disabled due to its verbosity and potential impact on performance, as well as security risks associated with exposing internal information. It is actively used during development, local testing, and in test environments for in-depth analysis of system behavior when issues arise.