"""Create recovery_planner
Generated by Phi-Octopus Eden
2025-11-07 03:12:20.375572
"""

```python
from typing import Any, Dict

class RecoveryPlanner:
    """
    A class to handle limited error recovery in a system.

    Methods:
        plan_recovery(action: str) -> None:
            Plans and executes the recovery action if an error is detected.
        
        execute_action(action_plan: Dict[str, Any]) -> bool:
            Executes the provided action plan and returns True on success or False on failure.
    """

    def __init__(self):
        self.action_plans = {
            "network_error": {"action": "check_connection", "retry_count": 3},
            "file_io_error": {"action": "save_backup", "location": "/backup"},
            "data_corruption": {"action": "recovery_dump", "priority": "high"}
        }

    def plan_recovery(self, action: str) -> None:
        """
        Plans and executes the recovery action if an error is detected.

        Args:
            action (str): The type of error that has occurred.
        
        Returns:
            None
        """
        if action in self.action_plans:
            print(f"Recovery plan for '{action}' initiated.")
            success = self.execute_action(self.action_plans[action])
            if not success:
                print(f"Failed to recover from '{action}'.")
        else:
            print("No recovery plan available for the detected error.")

    def execute_action(self, action_plan: Dict[str, Any]) -> bool:
        """
        Executes the provided action plan and returns True on success or False on failure.

        Args:
            action_plan (Dict[str, Any]): The action to be executed with its parameters.

        Returns:
            bool: True if the action was successful, otherwise False.
        """
        # Simulate executing an action
        print(f"Executing '{action_plan['action']}'...")
        
        # Example of a failure scenario
        if 'retry_count' in action_plan and action_plan['retry_count'] > 0:
            for _ in range(action_plan['retry_count']):
                if self._simulate_action(action_plan):
                    return True
                else:
                    print("Attempt failed. Retrying...")
        else:
            # Execute the action without retries
            return self._simulate_action(action_plan)

        # If all attempts fail, simulate a failure
        print("All recovery actions failed.")
        return False

    def _simulate_action(self, action_plan: Dict[str, Any]) -> bool:
        """
        Simulates executing an action and returns True on success or False on failure.

        Args:
            action_plan (Dict[str, Any]): The action to be simulated with its parameters.
        
        Returns:
            bool: True if the simulated action was successful, otherwise False.
        """
        import random
        # Randomly simulate either a success or failure
        return random.choice([True, False])


# Example usage
def main():
    recovery_planner = RecoveryPlanner()
    
    # Simulate an error and plan recovery
    recovery_planner.plan_recovery("network_error")
    recovery_planner.plan_recovery("file_io_error")
    recovery_planner.plan_recovery("unknown_error")

if __name__ == "__main__":
    main()
```

This Python code defines a `RecoveryPlanner` class that can be used to handle limited error recovery in a system. It includes methods for planning and executing recovery actions based on the type of error detected, with an example usage section at the bottom.