"""Create recovery_planner
Generated by Phi-Octopus Eden
2025-11-06 23:25:03.894720
"""

```python
from typing import List, Dict


class RecoveryPlanner:
    """
    A class that implements a simple recovery planner for limited error scenarios.

    Methods:
        plan_recovery: Generates a recovery plan based on identified errors.
        execute_step: Executes a step in the recovery plan and updates the state.
        check_completion: Checks if all steps of the recovery plan have been executed successfully.
    """

    def __init__(self, initial_state: Dict[str, str]):
        """
        Initialize the RecoveryPlanner with an initial state.

        :param initial_state: A dictionary representing the initial state of the system
        """
        self.state = initial_state
        self.plan: List[Dict[str, str]] = []

    def plan_recovery(self, errors: Dict[str, str]) -> None:
        """
        Generate a recovery plan based on identified errors.

        :param errors: A dictionary mapping error codes to their descriptions
        """
        for code, description in errors.items():
            self.plan.append({'error_code': code, 'description': description, 'steps': []})

    def execute_step(self, step: Dict[str, str]) -> bool:
        """
        Execute a single step of the recovery plan and update the state.

        :param step: A dictionary containing error details and steps to be executed
        :return: True if the step was successfully executed, False otherwise
        """
        step['steps'].append({'action': f"Try fixing {step['description']}", 'result': "Unknown"})
        # Simulate an action here - for demonstration purposes, always return success
        result = self._simulate_action(step)
        step['steps'][-1]['result'] = "Success" if result else "Failure"
        return result

    def check_completion(self) -> bool:
        """
        Check if all steps in the recovery plan have been executed successfully.

        :return: True if all steps were successful, False otherwise
        """
        for step in self.plan:
            if not any(s['result'] == 'Success' for s in step['steps']):
                return False
        return True

    def _simulate_action(self, step: Dict[str, str]) -> bool:
        # This is a placeholder function to simulate an action's result.
        # In real scenarios, this would involve complex logic and possibly external interactions.
        import random
        return random.choice([True, False])


# Example Usage:

if __name__ == "__main__":
    planner = RecoveryPlanner({'database_connection': 'healthy'})
    
    errors = {'db_error_1': 'Database connection failed', 'io_error_2': 'File read/write error'}
    planner.plan_recovery(errors)
    
    for step in planner.plan_recovery:
        if not planner.execute_step(step):
            print(f"Error {step['error_code']} could not be fixed.")
    
    if planner.check_completion():
        print("All errors have been successfully recovered from!")
    else:
        print("Not all errors were recovered. Further action required.")

```