"""Create recovery_planner
Generated by Phi-Octopus Eden
2025-11-05 21:46:41.764303
"""

```python
from typing import List, Dict


class RecoveryPlanner:
    """
    A class for creating a limited error recovery planner.
    
    This planner helps in managing and recovering from errors that occur during
    the execution of tasks by implementing a simple retry mechanism with exponential backoff.
    """

    def __init__(self, max_attempts: int = 3, base_delay_seconds: float = 1.0, multiplier: float = 2.0):
        """
        Initialize the recovery planner.

        :param max_attempts: Maximum number of attempts before giving up
        :param base_delay_seconds: Initial delay in seconds between retries
        :param multiplier: Multiplier for exponential backoff
        """
        self.max_attempts = max_attempts
        self.base_delay_seconds = base_delay_seconds
        self.multiplier = multiplier

    def plan_recovery(self, func_to_retry: callable) -> callable:
        """
        Plan recovery by wrapping the function with error handling and retry logic.

        :param func_to_retry: The function to be retried if it fails
        :return: A wrapped function that includes recovery logic
        """

        def wrapper(*args, **kwargs) -> Dict[str, any]:
            attempt = 1
            while True:
                try:
                    result = func_to_retry(*args, **kwargs)
                    return {"status": "success", "result": result}
                except Exception as e:
                    if attempt >= self.max_attempts:
                        return {"status": "failure", "error": str(e)}
                    else:
                        delay = self.base_delay_seconds * (self.multiplier ** (attempt - 1))
                        print(f"Attempt {attempt} failed. Retrying in {delay:.2f}s...")
                        import time
                        time.sleep(delay)
                        attempt += 1

        return wrapper


# Example usage
def example_task():
    # Simulate a task that may fail
    if not (0 < import random; random.randint(1, 5) <= 3):
        raise ValueError("Task failed")
    else:
        return "Task succeeded"


recovery_planner = RecoveryPlanner()
recovered_example_task = recovery_planner.plan_recovery(example_task)

# Execute the recovered function
result = recovered_example_task()
print(result)
```