"""Create recovery_planner
Generated by Phi-Octopus Eden
2025-11-07 22:59:48.443285
"""

```python
from typing import Any, Dict


class RecoveryPlanner:
    """
    A class for planning limited error recovery strategies in systems.
    """

    def __init__(self, max_retries: int = 3):
        """
        Initialize the RecoveryPlanner with a maximum number of retries.

        :param max_retries: Maximum number of times to retry an action before giving up.
                             Defaults to 3.
        """
        self.max_retries = max_retries
        self.recovery_strategies: Dict[str, Any] = {}

    def add_recovery_strategy(self, name: str, strategy: Any) -> None:
        """
        Add a recovery strategy by name.

        :param name: The name of the recovery strategy.
        :param strategy: The actual recovery strategy to be used.
        """
        self.recovery_strategies[name] = strategy

    def plan_recovery(self, action: str, error_message: str) -> bool:
        """
        Plan a recovery action based on an encountered error.

        :param action: The name of the action that failed and needs recovery.
        :param error_message: The error message received during the execution of the action.
        :return: True if a recovery strategy was found and applied, False otherwise.
        """
        if action not in self.recovery_strategies:
            print(f"No recovery strategy for {action} found.")
            return False

        # Simulate applying the recovery strategy
        strategy = self.recovery_strategies[action]
        result = strategy(error_message)
        if result:
            print(f"Recovery strategy applied successfully for: {action}")
        else:
            print(f"Failed to apply recovery strategy for: {action}")

        return result


# Example usage
def example_recovery_strategy_1(error: str) -> bool:
    """
    A simple recovery strategy that prints the error and exits.
    """
    print(f"Handling error 1: {error}")
    # Simulate handling the error, e.g., by logging or taking a corrective action
    return True


def example_recovery_strategy_2(error: str) -> bool:
    """
    Another recovery strategy that simulates retrying an operation.
    """
    if "timeout" in error.lower():
        print(f"Retrying operation due to timeout: {error}")
        # Simulate retry logic, e.g., by sleeping for a while and then trying again
        return True
    return False


if __name__ == "__main__":
    recovery_planner = RecoveryPlanner(max_retries=3)
    recovery_planner.add_recovery_strategy("action1", example_recovery_strategy_1)
    recovery_planner.add_recovery_strategy("action2", example_recovery_strategy_2)

    # Simulate an error in action1
    if not recovery_planner.plan_recovery("action1", "Error 1 occurred."):
        print("Exhausted retries for action1")

    # Simulate a timeout error in action2
    if not recovery_planner.plan_recovery("action2", "Operation timed out."):
        print("Failed to recover from timeout for action2")
```