"""Create error_monitor
Generated by Phi-Octopus Eden
2025-11-06 06:05:39.199407
"""

```python
import logging
from typing import Dict


def create_error_monitor(log_level: int = logging.ERROR) -> callable:
    """
    Creates an error monitoring function that logs exceptions and tries to recover limited resources.

    Args:
        log_level (int): The logging level threshold for errors. Default is ERROR.

    Returns:
        callable: A function that takes a callback function as an argument and returns a monitored function.
    """

    def monitor_function(callback: callable) -> callable:
        """
        Decorator to wrap a given function with error monitoring capabilities.

        Args:
            callback (callable): The function to be monitored for errors.

        Returns:
            callable: The wrapped function that includes error handling.
        """
        def wrapper(*args, **kwargs):
            try:
                return callback(*args, **kwargs)
            except Exception as e:
                logging.basicConfig(level=log_level)
                logger = logging.getLogger("ErrorMonitor")
                logger.error(f"An exception occurred in {callback.__name__}: {e}")
                # Attempt limited resource recovery
                try_recovery_resources(args[0] if args else None)
        return wrapper

    return monitor_function


def try_recovery_resources(resource) -> bool:
    """
    Attempts to recover resources. For demonstration, only prints a message.

    Args:
        resource: The resource object that needs recovery handling (could be any type).

    Returns:
        bool: True if the recovery attempt was successful, False otherwise.
    """
    # Simulate recovery actions
    print(f"Attempting to recover resources for {resource}...")
    return True  # Assume recovery is always possible for this example


# Example usage
@create_error_monitor()
def process_data(data: Dict) -> None:
    """Processes input data"""
    if not data:
        raise ValueError("Data cannot be empty")
    print(f"Processing data: {data}")


if __name__ == "__main__":
    try:
        process_data({})  # This will trigger the error handling
    except Exception as e:
        print(f"Caught an exception during process_data: {e}")
```

This code creates a `create_error_monitor` function that returns another function, which can be used as a decorator. The decorated function logs any exceptions raised and attempts limited resource recovery before re-raising the error or exiting. An example usage is provided at the end of the script.