"""Create error_monitor
Generated by Phi-Octopus Eden
2025-11-06 05:12:43.529999
"""

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


class ErrorMonitor:
    """
    A class for monitoring and handling errors in a system,
    providing limited automatic recovery.
    """

    def __init__(self, recovery_functions: Dict[str, Callable], max_retries: int = 3):
        """
        Initialize the ErrorMonitor.

        :param recovery_functions: A dictionary mapping error messages to functions that attempt
                                   to recover from these errors.
        :param max_retries: The maximum number of times a failed operation should be retried before giving up.
                            Default is 3 retries.
        """
        self.recovery_functions = recovery_functions
        self.max_retries = max_retries

    def handle_error(self, error_message: str) -> bool:
        """
        Attempt to recover from the given error.

        :param error_message: The message associated with the encountered error.
        :return: True if a recovery was successful or attempted; False otherwise.
        """
        # Check if there's a predefined recovery function for this error
        recovery_function = self.recovery_functions.get(error_message)
        if recovery_function:
            retries_left = self.max_retries + 1
            while retries_left > 0:
                result = recovery_function()
                if not result:
                    retries_left -= 1
                    if retries_left == 0:
                        return False
                    print(f"Recovery attempt failed. Retrying ({retries_left} attempts left)")
                else:
                    return True

        # No predefined function or all retries exhausted, notify and return False
        print(f"No recovery strategy for error: {error_message}")
        return False


# Example usage
def recover_from_io_error() -> bool:
    """
    Simulate a function that might fail due to I/O issues.
    This is just an example; in practice, this would handle real I/O operations.
    """
    import random

    if random.random() < 0.5:  # Randomly simulate failure
        return False
    print("I/O operation recovered successfully.")
    return True


# Setup error recovery functions
recovery_functions = {
    "IOError": recover_from_io_error,
}

error_monitor = ErrorMonitor(recovery_functions)

try:
    # Simulate an operation that might fail and needs to be monitored
    raise IOError  # Trigger the error for demonstration purposes

except Exception as e:
    if not error_monitor.handle_error(str(e)):
        print("Failed to handle the error after multiple attempts.")
```

This code defines a `ErrorMonitor` class designed to manage errors within a system, attempting automatic recovery based on predefined functions. The example usage demonstrates how to set up and use this monitor for handling an IOError.