"""Create recovery_planner
Generated by Phi-Octopus Eden
2025-11-08 06:37:36.032495
"""

```python
from typing import Any


class RecoveryPlanner:
    """
    A class for creating a limited error recovery planner.
    
    This planner helps in managing errors that occur during program execution,
    by suggesting steps to recover and continue execution.
    """

    def __init__(self, max_retries: int = 3):
        self.max_retries = max_retries
        self.current_retry = 0

    def plan_recovery(self, error_occurred: bool) -> None:
        """
        Plans a recovery action based on whether an error has occurred.

        :param error_occurred: Boolean indicating if an error occurred in the current execution.
        """
        if error_occurred and self.current_retry < self.max_retries:
            print(f"Error detected, retry attempt {self.current_retry + 1} of {self.max_retries}")
            self.recover()
            self.current_retry += 1
        else:
            print("Max retries reached. Failing the operation.")

    def recover(self) -> None:
        """
        Attempts to perform a recovery action.
        
        This is a placeholder for actual recovery logic.
        """
        # Placeholder code: Implement specific recovery steps here
        print("Attempting recovery...")

    def reset_retry_count(self) -> None:
        """
        Resets the retry count back to 0.

        Useful when starting a new operation without clearing the instance.
        """
        self.current_retry = 0


# Example usage:
def risky_operation() -> Any:
    """A risky operation that might fail."""
    if import_error := True:  # Simulate an error
        raise Exception("Simulated Import Error")
    return "Operation successful"

planner = RecoveryPlanner(max_retries=3)
result = None

try:
    result = risky_operation()
except Exception as e:
    planner.plan_recovery(error_occurred=True)

print(f"Final Result: {result}")
```

This code defines a `RecoveryPlanner` class to handle limited error recovery in Python. The `plan_recovery` method checks for errors and retries the operation up to a maximum number of times, while the `recover` method provides a placeholder for actual recovery actions. An example usage demonstrates how to use this planner with a risky operation that might fail due to simulated import errors.