autonomize.py

import time
import logging
from typing import NoReturn, Any

# Setup basic logging
logging.basicConfig(filename='autonomize.log', level=logging.INFO, format='%(asctime)s:%(levelname)s:%(message)s')

def exponential_backoff(attempt: int) -> int:
    """Calculate sleep time using an exponential backoff strategy."""
    return min(60, (2 ** attempt))  # Cap the backoff time to 60 seconds

def automate_task() -> str:
    """
    Represents a task that the system needs to perform. This could involve complex operations
    such as data processing, network requests, etc. For demonstration, it returns a success message.
    """
    # Simulate a task with a placeholder operation
    time.sleep(1)  # Simulate some work being done
    return "Task completed successfully"

def resilient_function(attempts: int = 3) -> NoReturn:
    """
    A self-healing function that attempts to execute a task up to a specified number of times with exponential backoff.
    """
    for attempt in range(1, attempts + 1):
        try:
            result = automate_task()
            logging.info(f"Task succeeded on attempt {attempt} with result: {result}")
            return
        except Exception as e:
            logging.warning(f"Attempt {attempt} failed with error: {e}")
            time.sleep(exponential_backoff(attempt))
    else:
        logging.error(f"All {attempts} attempts failed. Initiating self-healing.")
        self_healing_procedure()

def self_healing_procedure() -> NoReturn:
    """
    Implements self-healing logic, such as resetting states, clearing caches, or restarting services.
    For demonstration, it logs the initiation and completion of self-healing procedures.
    """
    logging.info("Performing self-healing procedures...")
    # Example self-healing action: resetting an internal state or cache
    reset_system_state()
    logging.info("Self-healing procedure completed. The system should now be in a recoverable state.")

def reset_system_state() -> Any:
    """
    Resets the system's state or clears caches to recover from a failure. This is a placeholder
    for actual reset logic, which would depend on the system's specifics.
    """
    logging.info("Resetting system state...")
    # Implement actual state reset logic here
    time.sleep(1)  # Simulate the reset process
    logging.info("System state reset successfully.")

if __name__ == "__main__":
    resilient_function()