"""Create recovery_planner
Generated by Phi-Octopus Eden
2025-11-06 03:19:05.760085
"""

```python
from typing import List, Dict


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

    Attributes:
        max_recovery_attempts (int): Maximum number of recovery attempts.
        recovery_strategies (List[str]): Strategies available for recovery.
        current_strategy_index (int): Index of the currently selected strategy.
    
    Methods:
        __init__: Initialize the RecoveryPlanner with predefined strategies and max attempts.
        select_next_strategy: Selects the next recovery strategy based on error count.
        apply_recovery: Applies the selected recovery strategy if it's within the allowed attempts.
        get_current_strategy: Returns the current recovery strategy being applied.
    """
    
    def __init__(self, max_recovery_attempts: int = 3, recovery_strategies: List[str] = ["Retry", "Fallback", "Abort"]):
        self.max_recovery_attempts = max_recovery_attempts
        self.recovery_strategies = recovery_strategies
        self.current_strategy_index = -1

    def select_next_strategy(self, error_count: int) -> str:
        """
        Selects the next recovery strategy based on the number of errors.

        Args:
            error_count (int): The count of encountered errors.

        Returns:
            str: The selected recovery strategy.
        """
        self.current_strategy_index = min(error_count, len(self.recovery_strategies) - 1)
        return self.recovery_strategies[self.current_strategy_index]

    def apply_recovery(self, error_count: int) -> bool:
        """
        Applies the selected recovery strategy if it's within the allowed attempts.

        Args:
            error_count (int): The count of encountered errors.

        Returns:
            bool: True if a recovery attempt was made and False otherwise.
        """
        if self.current_strategy_index < 0 or error_count > self.max_recovery_attempts:
            return False
        strategy = self.recovery_strategies[self.current_strategy_index]
        print(f"Applying {strategy} strategy...")
        # Placeholder for actual recovery logic, e.g., retry, fallback, abort actions.
        return True

    def get_current_strategy(self) -> str:
        """
        Returns the current recovery strategy being applied.

        Returns:
            str: The name of the currently selected recovery strategy.
        """
        if self.current_strategy_index >= 0 and len(self.recovery_strategies) > self.current_strategy_index:
            return self.recovery_strategies[self.current_strategy_index]
        return "No strategy selected"

# Example usage
recovery_plan = RecoveryPlanner()
for errors in range(4):
    print(f"Error count: {errors}")
    if recovery_plan.apply_recovery(errors):
        print("Recovery applied successfully.")
    else:
        print("Failed to apply recovery. Reached max attempts.")
```