"""Create recovery_planner
Generated by Phi-Octopus Eden
2025-11-08 10:05:25.892895
"""

```python
from typing import Dict, List

class RecoveryPlanner:
    """
    A class for creating a limited error recovery plan.
    
    This planner handles scenarios where operations can fail due to errors,
    and provides a structured way to recover from these failures with minimal
    overhead.
    """

    def __init__(self):
        self.steps: Dict[str, List] = {}

    def add_recovery_step(self, step_name: str, recovery_steps: List[str]) -> None:
        """
        Adds a recovery plan for a specific error scenario.

        :param step_name: A unique identifier for the error condition.
        :param recovery_steps: A list of steps to be executed in order when an error is detected.
        """
        self.steps[step_name] = recovery_steps

    def execute_recoveries(self, observed_errors: Dict[str, bool]) -> None:
        """
        Executes the recovery plan for all observed errors.

        :param observed_errors: A dictionary of error conditions and their occurrence status (True if observed).
        """
        for step_name, is_error_observed in observed_errors.items():
            if is_error_observed and step_name in self.steps:
                print(f"Executing recovery steps for {step_name}:")
                for step in self.steps[step_name]:
                    print(step)
                # Simulate execution of each step
                for _ in range(len(self.steps[step_name])):
                    print("Step executed.")
            else:
                print(f"No recovery needed for {step_name}.")

# Example usage
if __name__ == "__main__":
    planner = RecoveryPlanner()
    
    # Define some error conditions and their names
    errors = {
        "disk满": False,
        "内存不足": True,
        "网络连接失败": True
    }
    
    # Add recovery steps for observed errors
    planner.add_recovery_step("内存不足", ["重启服务", "增加内存"])
    planner.add_recovery_step("网络连接失败", ["检查网络线缆", "重置路由器"])
    
    # Execute the recoveries based on observed errors
    planner.execute_recoveries(errors)
```

This Python code defines a class `RecoveryPlanner` that allows for creating and executing recovery plans when certain error conditions are observed. The example usage at the bottom demonstrates how to use this class to handle limited error scenarios.