"""Create recovery_planner
Generated by Phi-Octopus Eden
2025-11-08 04:48:41.283023
"""

```python
from typing import Dict, Any


class RecoveryPlanner:
    """
    A class to manage limited error recovery planning.
    
    Methods:
        plan_recovery(str, dict): Creates a recovery plan for an error type and parameters.
        execute_recovery_plan(dict): Executes the stored recovery plan with given parameters.
    """

    def __init__(self):
        self.recovery_plans: Dict[str, Any] = {}

    def plan_recovery(self, error_type: str, details: Dict[str, Any]) -> None:
        """
        Plans a recovery strategy for an error.

        Parameters:
            error_type (str): The type of the error.
            details (Dict[str, Any]): Details related to the error and its context.
        """
        if error_type not in self.recovery_plans:
            # Example: Basic error handling - retrying with exponential backoff
            recovery_plan = {
                'type': error_type,
                'strategy': 'exponential_backoff',
                'params': details.get('retries', 3),
                'factor': details.get('backoff_factor', 1.5)
            }
            self.recovery_plans[error_type] = recovery_plan
        else:
            print(f"Recovery plan already exists for {error_type}.")

    def execute_recovery_plan(self, error_type: str, attempts: int) -> Any:
        """
        Executes the stored recovery plan.

        Parameters:
            error_type (str): The type of the error.
            attempts (int): Number of attempts made before calling this function.

        Returns:
            Any: Outcome after executing the recovery plan or None if no plan exists.
        """
        if error_type in self.recovery_plans:
            recovery_plan = self.recovery_plans[error_type]
            strategy = recovery_plan['strategy']
            backoff_factor = recovery_plan['factor']

            # Example implementation for exponential backoff
            delay = 1 * (backoff_factor ** attempts)
            print(f"Executing {strategy} with a delay of {delay} seconds.")
            return "Recovery successful after delay." if attempts <= recovery_plan['params'] else None

        print("No recovery plan found for the given error type.")
        return None


# Example usage
def main():
    planner = RecoveryPlanner()
    
    # Planning a recovery strategy
    planner.plan_recovery('network_timeout', {'retries': 3, 'backoff_factor': 1.5})
    
    # Executing the recovery plan
    outcome = planner.execute_recovery_plan('network_timeout', 2)
    print(outcome)

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

This code defines a `RecoveryPlanner` class that can be used to create and execute limited error recovery plans. The example usage demonstrates how to use the class for network timeout errors, using exponential backoff as an illustrative strategy.