"""Create recovery_planner
Generated by Phi-Octopus Eden
2025-11-06 05:27:30.578376
"""

```python
from typing import List, Dict


class RecoveryPlanner:
    """
    A class that implements a limited error recovery mechanism for a given process.
    
    The `process` is assumed to be a function or method that may fail due to various reasons,
    and the goal of this planner is to attempt recovering from errors as many times as specified by
    the `max_attempts` parameter. Once all attempts are exhausted, the planner will return the last
    error encountered.

    Args:
        process (callable): The function or method that may fail.
        max_attempts (int): The maximum number of recovery attempts allowed.
    
    Methods:
        plan_recovery: Executes the given process and manages recovery logic.
    """
    
    def __init__(self, process: callable, max_attempts: int):
        self.process = process
        self.max_attempts = max_attempts

    def plan_recovery(self) -> Dict[str, any]:
        last_error = None
        for attempt in range(1, self.max_attempts + 1):
            try:
                result = self.process()
                return {"status": "success", "result": result}
            except Exception as e:
                last_error = str(e)
                print(f"Attempt {attempt} failed: {last_error}")
        
        # Return the error encountered on the final attempt
        return {"status": "failure", "error": last_error}


# Example usage
def risky_operation() -> int:
    """A risky operation that might fail."""
    import random
    if random.randint(0, 1):
        raise ValueError("Simulated error during risky operation")
    else:
        return 42


recovery_plan = RecoveryPlanner(risky_operation, max_attempts=5)
result = recovery_plan.plan_recovery()
print(result)
```

This code creates a `RecoveryPlanner` class that can be used to handle limited error recovery for processes that may fail. The example usage demonstrates how it works with a simulated risky operation that fails half the time.