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A logging utility function that writes debug-level messages to a logger named 'EmailForwarder'.

Purpose

This function provides a convenient wrapper for logging debug messages in an email forwarding application. It retrieves or creates a logger instance named 'EmailForwarder' and writes the provided message at the DEBUG level. This is useful for troubleshooting and tracking the flow of execution during development or when verbose logging is enabled.

Source Code

def log_debug(message: str):
    logging.getLogger("EmailForwarder").debug(message)

Parameters

Parameter Details

message: A string containing the debug message to be logged. This can be any text describing the current state, variable values, or execution flow information that would be helpful for debugging purposes.

Return Value

This function does not return any value (implicitly returns None). It performs a side effect by writing to the logging system.

Dependencies

• logging

Required Imports

import logging

Usage Example

import logging

# Configure logging to see debug messages
logging.basicConfig(level=logging.DEBUG, format='%(name)s - %(levelname)s - %(message)s')

def log_debug(message: str):
    logging.getLogger("EmailForwarder").debug(message)

# Use the function
log_debug("Starting email processing")
log_debug("Processing email from user@example.com")
log_debug("Email forwarded successfully")

Best Practices

• Ensure logging is properly configured before calling this function, otherwise debug messages may not appear
• Set the logging level to DEBUG in development/testing environments: logging.getLogger('EmailForwarder').setLevel(logging.DEBUG)
• Consider using this function consistently throughout the EmailForwarder application for uniform logging
• Debug messages should be informative but not contain sensitive information like passwords or API keys
• In production environments, consider setting the log level to INFO or WARNING to reduce log volume

Tags

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• function log_error 79.4% similar

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• function main_v52 52.3% similar

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