"""Create recovery_planner
Generated by Phi-Octopus Eden
2025-11-08 00:22:54.807859
"""

```python
from typing import List, Dict


class RecoveryPlanner:
    """
    A class to manage and plan recovery strategies for systems prone to errors.

    Attributes:
        issues: A list of dictionaries representing error states.
                Each dictionary contains 'error_name', 'occurrence_time', and 'impact_level'.

    Methods:
        __init__(self, initial_issues: List[Dict[str, any]])
            Initializes the RecoveryPlanner with a list of initial issues.
        
        add_issue(self, issue: Dict[str, any])
            Adds an error state to the planner.

        assess_urgency(self) -> None
            Evaluates and categorizes the urgency of each issue based on its impact level.

        plan_recoveries(self) -> List[Dict[str, any]]
            Creates a recovery plan for high-impact issues.
    """

    def __init__(self, initial_issues: List[Dict[str, any]]):
        self.issues = initial_issues

    def add_issue(self, issue: Dict[str, any]):
        """Add an error state to the planner."""
        if 'error_name' in issue and 'occurrence_time' in issue and 'impact_level' in issue:
            self.issues.append(issue)
        else:
            raise ValueError("Invalid issue data provided.")

    def assess_urgency(self) -> None:
        """
        Evaluate each issue's impact level to determine urgency.
        
        The plan is to prioritize issues with higher impact levels first.
        """
        for issue in self.issues:
            if issue['impact_level'] >= 8:
                issue['urgency'] = 'high'
            elif issue['impact_level'] >= 4:
                issue['urgency'] = 'medium'
            else:
                issue['urgency'] = 'low'

    def plan_recoveries(self) -> List[Dict[str, any]]:
        """
        Generate a recovery plan focusing on high-impact issues.
        
        Returns:
            A list of dictionaries representing the planned recoveries for urgent issues.
        """
        self.assess_urgency()
        return [issue for issue in self.issues if issue.get('urgency', 'low') == 'high']


# Example usage
if __name__ == "__main__":
    initial_issues = [
        {'error_name': 'Disk Full', 'occurrence_time': 1625704800, 'impact_level': 9},
        {'error_name': 'Server Crash', 'occurrence_time': 1631569200, 'impact_level': 7},
        {'error_name': 'Network Outage', 'occurrence_time': 1635984000, 'impact_level': 4}
    ]

    planner = RecoveryPlanner(initial_issues)
    print("Initial Issues:", planner.issues)

    planner.add_issue({'error_name': 'Database Corruption', 'occurrence_time': 1627872000, 'impact_level': 9})
    print("\nUpdated Issues:", planner.issues)

    recovery_plan = planner.plan_recoveries()
    print("\nRecovery Plan:", recovery_plan)
```

This Python code defines a `RecoveryPlanner` class that manages and plans for system errors based on their impact levels, helping to prioritize high-impact issues for resolution.