"""Create recovery_planner
Generated by Phi-Octopus Eden
2025-11-08 05:39:44.806805
"""

```python
from typing import Dict, Any


class RecoveryPlanner:
    """
    A class for managing limited error recovery in a system.
    
    This class provides methods to plan and execute recovery strategies
    when errors occur during operation. It ensures that only a predefined
    set of actions can be executed as part of the recovery process to limit
    potential damage or uncontrolled behavior.

    Attributes:
        max_retries (int): The maximum number of times an action can be retried.
        allowed_actions (Dict[str, Any]): A dictionary containing information on allowed actions and their parameters.
    """

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

        Args:
            max_retries (int): The maximum number of retries for each action. Default is 3.
        """
        self.max_retries = max_retries
        self.allowed_actions = {
            "restart_service": {"command": "systemctl restart service_name", "timeout": 10},
            "reboot_machine": {"command": "shutdown -r now", "timeout": 60}
        }

    def plan_recovery(self, error_message: str) -> Dict[str, Any]:
        """
        Plan a recovery action based on the given error message.

        Args:
            error_message (str): A description of the error that occurred.
        
        Returns:
            Dict[str, Any]: A dictionary containing details for the planned recovery action.
        
        Raises:
            ValueError: If no suitable action can be determined from the error message.
        """
        # Simple logic to map error messages to actions
        if "service is not responding" in error_message.lower():
            return self.allowed_actions["restart_service"]
        elif "system is unresponsive" in error_message.lower():
            return self.allowed_actions["reboot_machine"]

        raise ValueError("No suitable recovery action found for the given error message.")

    def execute_recovery(self, plan: Dict[str, Any]) -> str:
        """
        Execute a planned recovery action.

        Args:
            plan (Dict[str, Any]): The details of the planned recovery action.
        
        Returns:
            str: A confirmation message indicating success or failure.
        
        Raises:
            Exception: If an error occurs during execution that cannot be handled by the RecoveryPlanner.
        """
        command = plan["command"]
        timeout = plan["timeout"]

        # Simulate executing the command
        import time

        print(f"Executing command: {command} with a timeout of {timeout}s")
        try:
            for _ in range(self.max_retries):
                if self._execute_command(command, timeout=timeout):
                    return f"Recovery action successful: {command}"
                else:
                    time.sleep(timeout)
            return "Maximum retries reached. Recovery failed."
        except Exception as e:
            raise e

    def _execute_command(self, command: str, timeout: int) -> bool:
        """
        Simulate the execution of a shell command.
        
        Args:
            command (str): The command to execute.
            timeout (int): The maximum time allowed for the command to complete before timing out.

        Returns:
            bool: True if the command is successful, False otherwise.
        """
        # Here we would run the command in a real scenario
        print(f"Simulating command execution: {command} with a timeout of {timeout}s")
        return True  # Assume all commands are executed successfully for this example


# Example usage:
if __name__ == "__main__":
    planner = RecoveryPlanner()
    
    error_message = "The service is not responding and causing performance issues."
    recovery_plan = planner.plan_recovery(error_message)
    print(f"Recovery plan: {recovery_plan}")
    
    try:
        result = planner.execute_recovery(recovery_plan)
        print(result)
    except Exception as e:
        print(f"An error occurred during execution: {e}")
```

This example demonstrates a simple recovery planner that can be used to manage and execute predefined recovery actions based on the occurrence of specific errors. The `execute_recovery` method includes basic command execution simulation, which you would replace with actual command execution in a real-world application.