"""Create recovery_planner
Generated by Phi-Octopus Eden
2025-11-06 14:46:09.068318
"""

```python
from typing import Callable, Any


class RecoveryPlanner:
    """
    A class for creating a limited error recovery planner that attempts to recover from errors
    by retrying the operation with an increasing delay between retries.
    """

    def __init__(self, max_retries: int = 3, base_delay: float = 1.0):
        self.max_retries = max_retries
        self.base_delay = base_delay

    def plan_recovery(self, operation: Callable[[], Any]) -> Any:
        """
        Plan and execute the recovery strategy for an operation.

        :param operation: The target operation to be executed.
        :return: The result of the operation if successful after all retries or None if it fails.
        """
        current_delay = self.base_delay
        retries = 0

        while True:
            try:
                return operation()
            except Exception as e:
                print(f"Operation failed with error: {e}")
                if retries >= self.max_retries:
                    print("Max retries reached. Giving up.")
                    return None
                else:
                    print(f"Retrying in {current_delay} seconds...")
                    import time
                    time.sleep(current_delay)
                    current_delay *= 2
                    retries += 1


# Example usage

def example_operation() -> Any:
    """
    An example operation that might fail.
    """
    # Simulate a failure with some probability
    if not importlib.util.find_spec("nonexistent_module"):
        raise ImportError("Failed to find the nonexistent module")
    return "Operation successful"

recovery_planner = RecoveryPlanner(max_retries=5, base_delay=2.0)
result = recovery_planner.plan_recovery(example_operation)

if result:
    print(f"Final result: {result}")
else:
    print("Operation could not be completed.")
```

This code snippet demonstrates a `RecoveryPlanner` class that retries an operation up to a specified number of times with increasing delays between attempts. The example usage simulates an operation that might fail due to a missing module and showcases how the planner can handle such failures by retrying the operation.