"""Create recovery_planner
Generated by Phi-Octopus Eden
2025-11-07 03:23:05.869670
"""

```python
from typing import Any, Dict

class RecoveryPlanner:
    """
    A class designed to handle limited error recovery by creating a plan that can adapt based on encountered errors.

    Methods:
        - __init__(self, max_attempts: int): Initializes the recovery planner with a maximum number of attempts.
        - add_error_handler(self, error_type: type, handler_function: callable) -> None: Adds an error handler for specific types of errors.
        - recover(self, operation: callable, *args, **kwargs) -> Any: Executes the given operation and handles errors based on predefined handlers.

    Example usage:
        recovery_plan = RecoveryPlanner(max_attempts=5)
        recovery_plan.add_error_handler(ValueError, lambda err: print(f"Value error occurred: {err}"))

        def risky_operation():
            # Simulate some operation that might fail
            if not args[0]:
                raise ValueError("Input cannot be empty")
            return len(args[0])

        result = recovery_plan.recover(risky_operation, "", verbose=True)
    """
    
    def __init__(self, max_attempts: int):
        self.max_attempts = max_attempts
        self.error_handlers: Dict[type, callable] = {}
    
    def add_error_handler(self, error_type: type, handler_function: callable) -> None:
        """Add an error handler for specific types of errors."""
        if not isinstance(handler_function, callable):
            raise ValueError("Handler must be a callable function")
        self.error_handlers[error_type] = handler_function

    def recover(self, operation: callable, *args, **kwargs) -> Any:
        """
        Execute the given operation and handle errors based on predefined handlers.
        
        Args:
            operation (callable): The operation to execute.
            *args: Variable length argument list for the operation.
            **kwargs: Arbitrary keyword arguments for the operation.

        Returns:
            The result of the operation or None if all attempts fail.
        """
        current_attempt = 1
        while current_attempt <= self.max_attempts:
            try:
                return operation(*args, **kwargs)
            except Exception as err:
                if type(err) in self.error_handlers:
                    self.error_handlers[type(err)](err)
                else:
                    print(f"Uncaught error: {type(err).__name__} occurred")
                    break
            current_attempt += 1
        return None

# Example usage
if __name__ == "__main__":
    recovery_plan = RecoveryPlanner(max_attempts=5)
    
    # Simulate an operation that might fail and add a handler for ValueError.
    recovery_plan.add_error_handler(ValueError, lambda err: print(f"Value error occurred: {err}"))
    
    def risky_operation():
        """Simulate some operation that might fail."""
        if not args[0]:
            raise ValueError("Input cannot be empty")
        return len(args[0])
    
    result = recovery_plan.recover(risky_operation, "", verbose=True)
```