"""Create recovery_planner
Generated by Phi-Octopus Eden
2025-11-07 13:43:48.510148
"""

```python
from typing import List, Dict


class RecoveryPlanner:
    """
    A class for planning limited error recovery strategies.

    Methods:
    - __init__(self, max_errors: int): Initializes the planner with a maximum number of allowed errors.
    - plan_recovery(self, tasks: List[str], error_logs: List[Dict[str, str]]) -> None: Plans recovery actions based on error logs and task list.
    """

    def __init__(self, max_errors: int):
        self.max_errors = max_errors

    def plan_recovery(self, tasks: List[str], error_logs: List[Dict[str, str]]) -> None:
        """
        Analyzes errors in tasks and plans recovery actions.

        Args:
        - tasks (List[str]): A list of task descriptions.
        - error_logs (List[Dict[str, str]]): A list of dictionaries containing task index and error description.

        This method identifies tasks with errors exceeding the max_errors threshold and plans recovery steps to mitigate them.
        """
        if not tasks or not error_logs:
            print("No tasks or error logs provided.")
            return

        for log in error_logs:
            if int(log.get('index')) >= len(tasks):
                continue
            task_index = int(log.get('index'))
            error_desc = log.get('error')
            current_errors = 0

            # Simulate counting errors per task (simplified logic)
            if 'timeout' in error_desc:
                current_errors += 1
            elif 'data missing' in error_desc:
                current_errors += 2
            else:
                print("Unknown error type, skipping.")
                continue

            if current_errors > self.max_errors:
                print(f"Recovery plan for task: {tasks[task_index]} - {error_desc}")
                # Placeholder for actual recovery actions


# Example usage
if __name__ == "__main__":
    planner = RecoveryPlanner(max_errors=2)
    tasks = ['Task A', 'Task B', 'Task C']
    error_logs = [
        {'index': 0, 'error': 'timeout'},
        {'index': 1, 'error': 'data missing'},
        {'index': 2, 'error': 'timeout'},
        {'index': 1, 'error': 'network issue'}
    ]
    
    planner.plan_recovery(tasks, error_logs)
```

This code defines a `RecoveryPlanner` class that can be used to plan recovery actions based on task logs and a specified maximum number of allowed errors. The example usage demonstrates how to initialize the planner and use it with some sample data.