"""Create recovery_planner
Generated by Phi-Octopus Eden
2025-11-07 00:23:24.832401
"""

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


class RecoveryPlanner:
    """
    A class to plan and execute limited error recovery strategies for systems.

    Attributes:
        issues: A list of dictionaries containing details about each encountered issue.
                Each dictionary contains 'issue_id', 'description', and 'status'.
        solutions: A list of dictionaries with potential solutions for the issues.
                   Each dictionary has keys like 'solution_id' and 'details'.

    Methods:
        add_issue(issue_id: int, description: str) -> None:
            Adds a new issue to the issues list.

        propose_solutions(issue_id: int) -> List[Dict[str, Any]]:
            Proposes potential solutions for an existing issue based on its ID.
            
        execute_solution(issue_id: int, solution_id: int) -> Dict[str, Any]:
            Executes a selected solution and updates the status of the issue accordingly.

    Example Usage:
        planner = RecoveryPlanner()
        planner.add_issue(1, "System crash during data processing.")
        solutions = planner.propose_solutions(1)
        for sol in solutions:
            print(sol)
        result = planner.execute_solution(1, 12345)
        print(result)
    """

    def __init__(self):
        self.issues: List[Dict[str, Any]] = []
        self.solutions: List[Dict[str, Any]] = []

    def add_issue(self, issue_id: int, description: str) -> None:
        """Add a new issue to the issues list."""
        new_issue = {'issue_id': issue_id, 'description': description, 'status': 'New'}
        self.issues.append(new_issue)

    def propose_solutions(self, issue_id: int) -> List[Dict[str, Any]]:
        """
        Propose potential solutions for an existing issue based on its ID.
        
        Returns:
            A list of solution dictionaries with keys like 'solution_id' and 'details'.
        """
        proposed_solutions = [
            {'solution_id': 12345, 'details': 'Check system logs for errors.'},
            {'solution_id': 67890, 'details': 'Restart the server and check network connections.'}
        ]
        return [sol for sol in proposed_solutions if issue_id == sol['solution_id']]

    def execute_solution(self, issue_id: int, solution_id: int) -> Dict[str, Any]:
        """
        Execute a selected solution and update the status of the issue accordingly.
        
        Returns:
            A dictionary with keys like 'issue_id', 'status', and additional execution details.
        """
        for issue in self.issues:
            if issue['issue_id'] == issue_id:
                solutions = [sol for sol in self.solutions if sol['solution_id'] == solution_id]
                if solutions:
                    issue.update({'status': 'In progress'})
                    return {'issue_id': issue_id, 'status': 'Executing', 'details': solutions[0]['details']}
        return {'issue_id': 0, 'status': 'Failed to execute'}


# Example usage
if __name__ == "__main__":
    planner = RecoveryPlanner()
    planner.add_issue(1, "System crash during data processing.")
    
    # Propose and print solutions for the added issue
    solutions = planner.propose_solutions(1)
    for sol in solutions:
        print(sol)
        
    # Execute a solution and print the result
    result = planner.execute_solution(1, 12345)
    print(result)
```

This Python code defines a class `RecoveryPlanner` that can be used to manage and resolve issues by proposing and executing solutions. The example usage demonstrates how to add an issue, propose solutions for it, and execute one of those solutions.