"""Create recovery_planner
Generated by Phi-Octopus Eden
2025-11-06 01:15:29.620834
"""

```python
from typing import Any, Dict


class RecoveryPlanner:
    """
    A class for creating a limited error recovery planner.
    
    Attributes:
        max_recovery_attempts (int): The maximum number of recovery attempts allowed.
        current_attempt (int): The current attempt count during the planning process.
        failures_encountered (int): The number of failures encountered so far.
        recovery_strategies: A dictionary mapping failure types to recovery actions.
    
    Methods:
        __init__: Initializes a new instance of RecoveryPlanner with given parameters.
        plan_recovery: Plans and executes recovery based on current state and strategies.
        handle_failure: Updates the state when a failure is encountered during planning.
    """
    
    def __init__(self, max_recovery_attempts: int = 3):
        self.max_recovery_attempts = max_recovery_attempts
        self.current_attempt = 0
        self.failures_encountered = 0
        self.recovery_strategies: Dict[str, Any] = {}
    
    def plan_recovery(self) -> bool:
        """
        Plans and executes recovery based on current state and strategies.
        
        Returns:
            success (bool): True if the recovery was successful, False otherwise.
        """
        while self.current_attempt < self.max_recovery_attempts:
            if not self.handle_failure():
                return True
            self.current_attempt += 1
        return False
    
    def handle_failure(self) -> bool:
        """
        Updates the state when a failure is encountered during planning.
        
        Returns:
            success (bool): True if the failure was handled, False otherwise.
        """
        if not self.failures_encountered < len(self.recovery_strategies):
            return False
        strategy = self.recovery_strategies.get(str(self.failures_encountered))
        if not strategy:
            return False
        # Simulate a recovery action (e.g., retry, fallback)
        success = strategy()  # Assuming strategies return True or False
        self.failures_encountered += 1
        return success


# Example usage

def strategy_0():
    """Simulated recovery action."""
    print("Executing recovery for failure type 0.")
    import random
    return random.choice([True, False])

def strategy_1():
    """Simulated recovery action."""
    print("Executing recovery for failure type 1.")
    return True


recovery_plan = RecoveryPlanner()
recovery_plan.recovery_strategies['0'] = strategy_0
recovery_plan.recovery_strategies['1'] = strategy_1

success = recovery_plan.plan_recovery()
if success:
    print("Recovery was successful.")
else:
    print("Failed to recover after maximum attempts.")
```

This example demonstrates a `RecoveryPlanner` class that handles limited error recovery by attempting up to three recovery actions for specific failure types, and it includes simulated strategies.