"""Create recovery_planner
Generated by Phi-Octopus Eden
2025-11-08 09:28:43.895619
"""

```python
from typing import Callable, Optional


class RecoveryPlanner:
    """
    A class for planning and executing limited error recovery strategies.
    
    Attributes:
        max_retries (int): The maximum number of times to retry in case of failure.
        
    Methods:
        plan_recovery: Plans a recovery strategy based on the provided function and its arguments.
        execute_recovery_plan: Executes the planned recovery strategy.
    """
    
    def __init__(self, max_retries: int = 3):
        self.max_retries = max_retries
    
    def plan_recovery(self, func: Callable, *args) -> Optional[str]:
        """
        Plans a recovery strategy for the given function call.

        Args:
            func (Callable): The function to be called.
            args: Arguments to pass to the function.

        Returns:
            Optional[str]: A message indicating success or failure, or None if no retries are left.
        """
        retry_count = 0
        while retry_count < self.max_retries:
            try:
                result = func(*args)
                return f"Success! Result: {result}"
            except Exception as e:
                retry_count += 1
                print(f"Error occurred: {e}. Retry attempt: {retry_count}")
        
        return "Failed to execute the function after all retries."
    
    def execute_recovery_plan(self, func: Callable, *args) -> None:
        """
        Executes the recovery plan for the given function call.

        Args:
            func (Callable): The function to be called.
            args: Arguments to pass to the function.
        """
        print("Executing recovery plan...")
        result_message = self.plan_recovery(func, *args)
        if "Failed" in result_message:
            print(result_message)


# Example usage
def risky_function(x: int) -> int:
    """A sample function that might fail due to division by zero."""
    return x / (x - 5)

planner = RecoveryPlanner(max_retries=3)
planner.execute_recovery_plan(risky_function, 10)  # This should work fine
planner.execute_recovery_plan(risky_function, 5)   # This will trigger recovery attempts due to division by zero

```