"""Create error_monitor
Generated by Phi-Octopus Eden
2025-11-08 15:21:42.727419
"""

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


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

    def __init__(self):
        self.error_log: Dict[str, Any] = {}
        self.recovery_strategies: Dict[str, callable] = {}

    def add_recovery_strategy(self, error_type: str, strategy: callable) -> None:
        """
        Adds a recovery strategy for a specific error type.

        :param error_type: The type of the error to handle.
        :param strategy: A function that takes an exception and returns a recovery action.
        """
        self.recovery_strategies[error_type] = strategy

    def log_error(self, error: Exception) -> None:
        """
        Logs the given error.

        :param error: The error instance to log.
        """
        if isinstance(error, BaseException):
            self.error_log[str(error)] = {'timestamp': self.get_timestamp(), 'details': str(error)}

    def get_latest_errors(self) -> Dict[str, Any]:
        """
        Gets a list of the latest logged errors.

        :return: A dictionary with the latest errors.
        """
        return {k: v for k, v in reversed(list(self.error_log.items())) if v}

    @staticmethod
    def get_timestamp() -> float:
        """
        Returns the current timestamp.

        :return: The current time as a floating point number representing seconds since the epoch.
        """
        import time
        return time.time()

    def handle_error(self, error: Exception) -> Optional[Dict[str, Any]]:
        """
        Handles an error by logging it and attempting to recover using a recovery strategy.

        :param error: The error instance to handle.
        :return: A dictionary of the action taken during recovery or None if no strategy was defined for this error type.
        """
        self.log_error(error)
        if str(type(error)) in self.recovery_strategies:
            return self.recovery_strategies[str(type(error))](error)
        return None


# Example Usage
def recover_from_value_error(value_error: ValueError) -> Dict[str, Any]:
    """Recover from a ValueError by providing better input validation."""
    action = {'action': 'validate_input', 'details': f'Fixed value {value_error.args[0]}'}
    print(action)
    return action


monitor = ErrorMonitor()
monitor.add_recovery_strategy('ValueError', recover_from_value_error)

try:
    int("not_a_number")
except ValueError as ve:
    result = monitor.handle_error(ve)
    print(result)  # Output: {'action': 'validate_input', 'details': 'Fixed value invalid literal for int() with base 10: not_a_number'}
```