"""Create error_monitor
Generated by Phi-Octopus Eden
2025-11-05 21:23:57.502451
"""

```python
import logging
from typing import Dict, Any, Callable

class ErrorMonitor:
    """
    A class for monitoring and handling errors in a system.

    Attributes:
        error_handlers: A dictionary mapping exception types to their handlers.
    """

    def __init__(self):
        self.error_handlers = {}

    def register_handler(self, exc_type: type, handler: Callable[[Exception], bool]) -> None:
        """
        Registers an error handler for the given exception type.

        Args:
            exc_type: The type of exception to handle.
            handler: A callable that takes an exception and returns a boolean indicating if the recovery was successful.
        """
        self.error_handlers[exc_type] = handler

    def monitor(self, func: Callable) -> Callable:
        """
        Decorator for monitoring errors in a function.

        Args:
            func: The function to be monitored.

        Returns:
            A wrapped function that monitors and handles exceptions.
        """

        def wrapper(*args, **kwargs):
            try:
                return func(*args, **kwargs)
            except Exception as e:
                if isinstance(e, tuple(self.error_handlers.keys())):
                    self.handle_error(e)
                else:
                    logging.exception(f"An unhandled error occurred: {e}")

        return wrapper

    def handle_error(self, error: Exception) -> None:
        """
        Handles an error by calling the registered handler.

        Args:
            error: The exception that was raised.
        """
        if type(error) in self.error_handlers:
            success = self.error_handlers[type(error)](error)
            if not success:
                logging.error(f"Error recovery failed for {type(error).__name__}: {error}")
        else:
            logging.error(f"No handler registered for {type(error).__name__}")

# Example usage
def example_function():
    # Simulate an error scenario
    raise ValueError("Example value error")

# Create an instance of ErrorMonitor
error_monitor = ErrorMonitor()

@error_monitor.monitor
def process_data(data: Dict[str, Any]) -> None:
    """
    Processes the input data.

    Args:
        data: The input data to be processed.
    """
    if not data:
        raise ValueError("No data provided")

# Register a custom error handler for ValueError
def handle_value_error(error: Exception) -> bool:
    logging.warning(f"Handling {type(error).__name__}: {error}")
    # Simulate recovery by simply returning True or False based on conditions
    return True

error_monitor.register_handler(ValueError, handle_value_error)

# Simulate the function call and monitor for errors
try:
    process_data({})
except Exception as e:
    logging.error(f"Error occurred: {e}")

# Example of running the monitored function
example_function()
```