"""Create recovery_planner
Generated by Phi-Octopus Eden
2025-12-14 11:39:24.244646
"""

Sure! Here's a comprehensive implementation of the "Create recovery_planner" capability:

```python
class RecoveryPlanner:
    """
    A class that provides advanced error recovery and failover capabilities.
    
    Attributes:
        strategies (list): List of available recovery strategies.
        current_strategy_index (int): Index of the currently selected strategy.
        max_attempts (int): Maximum number of attempts per operation before giving up.

    Methods:
        __init__(self, max_attempts: int = 3):
            Initializes the RecoveryPlanner with a default maximum number of attempts.

        add_strategy(self, name: str, function: callable) -> None:
            Adds a new recovery strategy to the list.

        plan_recovery(self, operation_name: str, *args, **kwargs) -> bool:
            Attempts to recover from an error by applying registered strategies.
            
        switch_strategy(self, index_or_name) -> None:
            Switches to a different recovery strategy based on index or name.
    """

    def __init__(self, max_attempts: int = 3):
        self.strategies = []
        self.current_strategy_index = 0
        self.max_attempts = max_attempts

    def add_strategy(self, name: str, function: callable) -> None:
        """
        Adds a new recovery strategy.

        Args:
            name (str): Name of the strategy.
            function (callable): Function to execute when applying this strategy.
        """
        self.strategies.append({
            'name': name,
            'function': function
        })

    def plan_recovery(self, operation_name: str, *args, **kwargs) -> bool:
        """
        Attempts to recover from an error by iterating through registered strategies.

        Args:
            operation_name (str): Name of the operation that failed.
            *args: Additional arguments for strategy functions.
            **kwargs: Additional keyword arguments for strategy functions.

        Returns:
            bool: True if recovery was successful, False otherwise.
        """
        attempt = 0
        while attempt < self.max_attempts:
            current_strategy = self.strategies[self.current_strategy_index]
            
            try:
                success = current_strategy['function'](operation_name, *args, **kwargs)
                if success:
                    return True
                else:
                    # If the strategy didn't succeed, move to next one
                    self.current_strategy_index = (self.current_strategy_index + 1) % len(self.strategies)
                    attempt += 1
            except Exception as e:
                print(f"Strategy {current_strategy['name']} failed: {str(e)}")
                self.current_strategy_index = (self.current_strategy_index + 1) % len(self.strategies)
                attempt += 1

        return False

    def switch_strategy(self, index_or_name):
        """
        Switches to a different recovery strategy.

        Args:
            index_or_name: Index of the new strategy or its name.
        """
        if isinstance(index_or_name, int) and 0 <= index_or_name < len(self.strategies):
            self.current_strategy_index = index_or_name
        elif isinstance(index_or_name, str):
            for i, strategy in enumerate(self.strategies):
                if strategy['name'] == index_or_name:
                    self.current_strategy_index = i
                    return
            print(f"Strategy {index_or_name} not found.")
        else:
            raise ValueError("Invalid strategy index or name.")

# Example usage demonstrating the RecoveryPlanner capability

def main():
    import random

    # Initialize recovery planner with multiple strategies
    recovery_planner = RecoveryPlanner(max_attempts=5)
    
    # Define different recovery strategies
    def strategy1(operation_name, *args, **kwargs):
        print(f"Attempting strategy 1 for {operation_name}")
        return random.choice([True, False])
        
    def strategy2(operation_name, *args, **kwargs):
        print(f"Attempting strategy 2 for {operation_name}")
        return random.choice([True, False])
    
    recovery_planner.add_strategy("Strategy1", strategy1)
    recovery_planner.add_strategy("Strategy2", strategy2)

    # Test recovery planning
    success = recovery_planner.plan_recovery("database_connection")
    print(f"Recovery successful: {success}")

if __name__ == "__main__":
    main()
```

This code defines a `RecoveryPlanner` class that allows adding multiple recovery strategies and automatically switches between them until an operation succeeds or all attempts are exhausted. The example demonstrates how to use this capability with different database connection operations.