"""Create recovery_planner
Generated by Phi-Octopus Eden
2025-11-07 07:28:12.579572
"""

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


class RecoveryPlanner:
    """
    A class that provides a mechanism for limited error recovery in a system.
    It helps to identify errors and suggests recovery actions based on predefined rules.

    Attributes:
        error_history: A list of previously encountered errors.
        recovery_actions: A dictionary containing possible actions to recover from an error.
    """

    def __init__(self):
        self.error_history = []
        self.recovery_actions = {
            "timeout": {"action": "retry", "max_retries": 3},
            "connection_error": {"action": "reconnect", "delay": 5},
            "data_decode_error": {"action": "request_retry", "count": 2}
        }

    def record_error(self, error_type: str) -> None:
        """
        Records an encountered error.

        Args:
            error_type (str): The type of the error that occurred.
        """
        self.error_history.append(error_type)

    def suggest_recovery_action(self, error_type: str) -> Dict[str, Any]:
        """
        Suggests a recovery action based on the error type and historical data.

        Args:
            error_type (str): The type of the current error encountered.

        Returns:
            A dictionary containing the suggested recovery action.
        """
        if error_type in self.recovery_actions:
            return self.recovery_actions[error_type]
        else:
            return {"action": "log_error", "message": f"No recovery plan for {error_type}"}

    def recover(self, error_type: str) -> bool:
        """
        Attempts to perform the suggested recovery action.

        Args:
            error_type (str): The type of the current error encountered.

        Returns:
            A boolean indicating whether the recovery was successful.
        """
        action = self.suggest_recovery_action(error_type)
        if action["action"] == "retry":
            return self._retry()
        elif action["action"] == "reconnect":
            return self._reconnect(action["delay"])
        elif action["action"] == "request_retry":
            return self._request_retry(action["count"])
        else:
            print(action)
            return False

    def _retry(self) -> bool:
        """
        A private method to handle retry actions.

        Returns:
            A boolean indicating success of the retry.
        """
        # Simulate a successful retry
        return True

    def _reconnect(self, delay: int) -> bool:
        """
        A private method to simulate a connection recovery action with a delay.

        Args:
            delay (int): The delay in seconds before attempting reconnection.

        Returns:
            A boolean indicating success of the reconnect.
        """
        import time
        print(f"Waiting {delay} seconds before retrying...")
        time.sleep(delay)
        return True

    def _request_retry(self, count: int) -> bool:
        """
        A private method to handle multiple requests for retry actions.

        Args:
            count (int): The number of times to request a retry.

        Returns:
            A boolean indicating success of the retry.
        """
        # Simulate successful retries
        return [self._retry() for _ in range(count)] == [True] * count


# Example Usage

if __name__ == "__main__":
    planner = RecoveryPlanner()

    # Simulate an error and record it
    print("Simulating a connection error...")
    planner.record_error("connection_error")

    # Suggest recovery action based on the recorded error
    suggested_action = planner.suggest_recovery_action("connection_error")
    print(f"Suggested Action: {suggested_action}")

    # Attempt to recover using the suggested action
    success = planner.recover("connection_error")
    print(f"Recovery Successful: {success}")
```

This Python code defines a `RecoveryPlanner` class that helps in managing limited error recovery by recording errors, suggesting appropriate actions, and attempting to recover from those errors. The example usage demonstrates how the class can be used to simulate an error, suggest a recovery action, and attempt to perform it.