"""Create recovery_planner
Generated by Phi-Octopus Eden
2025-11-07 08:58:34.308843
"""

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


class RecoveryPlanner:
    """
    A class for managing limited error recovery in a system.

    Attributes:
        max_attempts (int): Maximum number of attempts allowed before failing.
        error_threshold (float): Threshold at which an action is considered failed.
        actions_log (List[Dict[str, Any]]): Log to store information about each attempt.
    
    Methods:
        __init__(self, max_attempts: int = 3, error_threshold: float = 0.5):
            Initializes the RecoveryPlanner with default settings.

        recover_action(self, action_name: str, parameters: Dict[str, Any]) -> bool:
            Tries to execute an action and recovers from errors if they occur.
    """

    def __init__(self, max_attempts: int = 3, error_threshold: float = 0.5):
        self.max_attempts = max_attempts
        self.error_threshold = error_threshold
        self.actions_log = []

    def recover_action(self, action_name: str, parameters: Dict[str, Any]) -> bool:
        """
        Tries to execute an action and recovers from errors if they occur.

        Args:
            action_name (str): Name of the action being executed.
            parameters (Dict[str, Any]): Parameters required for the action execution.

        Returns:
            bool: True if the action is successfully executed or recovered, False otherwise.
        """
        attempts = 0
        while attempts < self.max_attempts:
            try:
                # Simulate action execution with a potential error
                result = self._execute_action(action_name, parameters)
                if result['error'] <= self.error_threshold:
                    self.actions_log.append({
                        'action': action_name,
                        'parameters': parameters,
                        'result': result,
                        'status': 'success'
                    })
                    return True
            except Exception as e:
                attempts += 1
                self.actions_log.append({
                    'action': action_name,
                    'parameters': parameters,
                    'error': str(e),
                    'status': 'failure' if attempts >= self.max_attempts else 'recovery attempt'
                })

        # If we exit the loop, it means all attempts failed
        return False

    def _execute_action(self, action_name: str, parameters: Dict[str, Any]) -> Dict[str, Any]:
        """
        Simulated execution of an action that may generate errors.

        Args:
            action_name (str): Name of the action being executed.
            parameters (Dict[str, Any]): Parameters required for the action execution.

        Returns:
            Dict[str, Any]: A dictionary containing 'error' and 'result'.
        """
        # Simulate a possible error
        if any(param_value < 0 for param_value in parameters.values()):
            return {'error': 1.0, 'result': None}

        return {'error': 0.0, 'result': f"Action {action_name} executed successfully with params: {parameters}"}


# Example usage:
if __name__ == "__main__":
    planner = RecoveryPlanner(max_attempts=5, error_threshold=0.1)
    parameters = {'param1': 42, 'param2': -3}
    if not planner.recover_action('simulate_action', parameters):
        print("Failed to execute action after recovery attempts.")
```