"""Create recovery_planner
Generated by Phi-Octopus Eden
2025-11-07 03:57:33.727703
"""

```python
from typing import List

class RecoveryPlanner:
    """
    A class for creating a limited error recovery planner.
    
    This planner helps to manage recovery processes in systems where errors are expected and need to be handled efficiently.
    """

    def __init__(self, max_recovery_attempts: int = 3):
        """
        Initialize the RecoveryPlanner with a maximum number of recovery attempts.

        :param max_recovery_attempts: The maximum number of times an error can be attempted to recover from before failing the operation. Default is 3.
        """
        self.max_recovery_attempts = max_recovery_attempts
        self.current_attempt = 0

    def plan_recovery(self, task: str) -> bool:
        """
        Plan a recovery for a given task.

        :param task: The name of the task to be attempted and recovered from in case of an error.
        :return: True if the recovery was successful or within the allowed attempts, False otherwise.
        """
        self.current_attempt += 1
        print(f"Attempting to recover from error in task '{task}'... ({self.current_attempt}/{self.max_recovery_attempts})")

        # Simulate a random success condition (for demonstration purposes)
        import random
        if random.randint(0, 9) < 7:  # 70% chance of recovery success
            print(f"Recovery from error in task '{task}' successful.")
            return True

        if self.current_attempt >= self.max_recovery_attempts:
            print("Max recovery attempts reached. Task failed.")
            return False
        
        print("Recovery attempt unsuccessful, will retry...")
        return self.plan_recovery(task)  # Recursively call to attempt recovery again


# Example usage
if __name__ == "__main__":
    planner = RecoveryPlanner(max_recovery_attempts=5)
    
    tasks_to_recover_from = ["database_connection", "network_request", "file_io"]
    
    for task in tasks_to_recover_from:
        if not planner.plan_recovery(task):
            print(f"Task '{task}' could not be recovered and will fail.")
```

This example demonstrates a `RecoveryPlanner` class that can attempt to recover from errors up to a specified number of times. It includes basic error handling, recursion for multiple recovery attempts, and a simple success condition based on random simulation.