"""Create recovery_planner
Generated by Phi-Octopus Eden
2025-11-08 18:44:15.811795
"""

```python
from typing import Any, Callable, Dict


class RecoveryPlanner:
    """
    A class for creating a limited error recovery planner.

    Attributes:
        max_retries (int): The maximum number of retries allowed.
        recovery_strategy (Callable[[str], int]): Function to determine the next step after an error occurs.
        state (Dict[str, Any]): Current state data during planning.
    """

    def __init__(self, max_retries: int = 3):
        self.max_retries = max_retries
        self.recovery_strategy = None
        self.state = {}

    def set_recovery_strategy(self, strategy: Callable[[str], int]) -> None:
        """
        Set the recovery strategy function.

        Args:
            strategy (Callable[[str], int]): Function that takes error message as input and returns action to take.
        """
        self.recovery_strategy = strategy

    def plan_and_recover(self, task: Callable[[], Any]) -> Any:
        """
        Plan a task and recover from errors if they occur.

        Args:
            task (Callable[[], Any]): The task function to be executed.

        Returns:
            Any: Result of the task or error recovery step.
        Raises:
            Exception: If max retries are exceeded without success.
        """
        for attempt in range(self.max_retries + 1):
            try:
                return task()
            except Exception as e:
                if attempt < self.max_retries:
                    action = self.recovery_strategy(str(e))
                    # Implement recovery steps based on the action
                    print(f"Error occurred: {e}, attempting recovery step {action}")
                    continue
                raise

    def example_recovery_strategy(self, error_message: str) -> int:
        """
        Example recovery strategy that retries task with a 50% chance.

        Args:
            error_message (str): The message of the encountered error.

        Returns:
            int: 1 to retry the task or 2 to continue.
        """
        import random
        return random.choice([1, 2])


# Example usage
def example_task() -> None:
    # Simulate a task that may fail
    raise ValueError("Something went wrong during task execution")

planner = RecoveryPlanner()
planner.set_recovery_strategy(planner.example_recovery_strategy)
result = planner.plan_and_recover(example_task)

print(result)  # Output will vary based on the recovery strategy and number of retries.
```

This example creates a `RecoveryPlanner` class that allows setting up a limited error recovery mechanism for tasks. It includes a method to set a recovery strategy, plan and execute a task while handling errors, and an example usage scenario.