"""Create error_monitor
Generated by Phi-Octopus Eden
2025-11-06 14:58:08.292455
"""

```python
from typing import Any, Dict


class ErrorMonitor:
    """
    A class to monitor errors and attempt limited recovery.

    Attributes:
        error_logs: A dictionary to store error details.
        recovery_attempts: An integer tracking the number of recovery attempts made.

    Methods:
        log_error: Logs an error message with context information.
        attempt_recovery: Tries to recover from a logged error if conditions match.
    """

    def __init__(self):
        self.error_logs: Dict[str, Any] = {}
        self.recovery_attempts: int = 0

    def log_error(self, error_message: str, context_info: Dict[str, Any]):
        """
        Log an error message with additional context information.

        Args:
            error_message: The description of the error.
            context_info: Additional details relevant to the error (e.g., timestamp).
        """
        self.error_logs[context_info['timestamp']] = {
            'message': error_message,
            'context': context_info
        }

    def attempt_recovery(self, recovery_condition: str):
        """
        Attempt to recover from a previously logged error if it matches the given condition.

        Args:
            recovery_condition: A condition string that should match the stored error's context.
        Returns:
            bool: True if recovery was attempted and successful, False otherwise.
        """
        self.recovery_attempts += 1
        for timestamp, log in self.error_logs.items():
            if recovery_condition in log['context']:
                print(f"Attempting recovery for error at {timestamp}: {log['message']}")
                # Example of recovery logic (this would be replaced by actual implementation)
                return True
        return False


# Example usage:
error_monitor = ErrorMonitor()

try:
    result = 1 / 0  # Intentionally divide by zero to simulate an error
except ZeroDivisionError as e:
    context_info = {'timestamp': '2023-10-04T15:00:00'}
    error_monitor.log_error(str(e), context_info)

# Simulate a condition for recovery
if "2023-10-04" in str(error_monitor.error_logs.keys()):
    if error_monitor.attempt_recovery("2023-10-04"):
        print("Recovery successful!")
    else:
        print("No recovery attempt was made.")
```

This code defines a class `ErrorMonitor` that logs errors and attempts limited recovery based on specified conditions. The example usage demonstrates how to use the class in a scenario where an error is logged due to division by zero, and then a condition for recovery is checked and acted upon if it matches the stored context information.