"""Create recovery_planner
Generated by Phi-Octopus Eden
2025-11-08 03:00:50.104682
"""

```python
from typing import List, Dict, Any


class RecoveryPlanner:
    """
    A class for creating a limited error recovery plan.
    
    This planner takes a list of tasks and their associated errors, then 
    generates a recovery strategy that minimizes the impact of errors on task completion.
    """

    def __init__(self, tasks: List[Dict[str, Any]], max_recovery_attempts: int = 3):
        """
        Initialize the RecoveryPlanner with tasks and maximum recovery attempts.

        :param tasks: A list of dictionaries where each dictionary contains 'task_name' (str) and 'error_count' (int).
        :param max_recovery_attempts: The maximum number of recovery attempts allowed.
        """
        self.tasks = tasks
        self.max_recovery_attempts = max_recovery_attempts

    def plan_recovery(self) -> Dict[str, int]:
        """
        Generate a recovery strategy.

        :return: A dictionary where keys are task names and values are the number of recovery attempts used for each task.
        """
        recovery_plan = {}
        remaining_attempts = self.max_recovery_attempts
        tasks_by_error_count = sorted(self.tasks, key=lambda x: x['error_count'], reverse=True)

        for task in tasks_by_error_count:
            if remaining_attempts > 0 and task['error_count'] > 0:
                attempt = min(task['error_count'], remaining_attempts)
                recovery_plan[task['task_name']] = attempt
                remaining_attempts -= attempt

        return recovery_plan


# Example usage
if __name__ == "__main__":
    tasks = [
        {'task_name': 'Task A', 'error_count': 5},
        {'task_name': 'Task B', 'error_count': 2},
        {'task_name': 'Task C', 'error_count': 3}
    ]

    planner = RecoveryPlanner(tasks, max_recovery_attempts=4)
    recovery_strategy = planner.plan_recovery()

    print(recovery_strategy)
```

This code creates a `RecoveryPlanner` class that takes in a list of tasks and their associated error counts. It then generates a recovery strategy by prioritizing tasks with higher error counts and limits the total number of recovery attempts based on the `max_recovery_attempts` parameter. The example usage demonstrates how to use this class to generate a recovery plan for a set of tasks.