"""Create recovery_planner
Generated by Phi-Octopus Eden
2025-11-07 20:00:52.693795
"""

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


class RecoveryPlanner:
    """
    A class for creating a limited error recovery planner.
    
    Attributes:
        max_attempts (int): Maximum number of attempts before giving up.
        failure_threshold (float): Probability threshold below which to retry an operation.
        log_retries (bool): Whether to log every failed attempt and its reason.

    Methods:
        plan_recovery: Plans the recovery steps based on error conditions.
    """
    
    def __init__(self, max_attempts: int = 5, failure_threshold: float = 0.1, log_retries: bool = True):
        self.max_attempts = max_attempts
        self.failure_threshold = failure_threshold
        self.log_retries = log_retries

    def plan_recovery(self, operation: Any, error_log: List[Dict[str, Any]]) -> Dict[str, Any]:
        """
        Plans the recovery steps for a given operation based on its error conditions.

        Args:
            operation (Any): The operation to be performed.
            error_log (List[Dict[str, Any]]): A list of dictionaries containing error information.

        Returns:
            Dict[str, Any]: The planned recovery steps.
        """
        
        if self.log_retries and len(error_log) > 0:
            print("Retrying due to errors encountered.")
        
        for attempt in range(self.max_attempts):
            try:
                result = operation()
                if 'error' not in result:  # Assuming the operation returns a dictionary with an error key
                    return {'success': True, **result}
                else:
                    error_details = result['error']
                    if random.random() > self.failure_threshold:
                        continue
                    error_log.append({'attempt': attempt, 'details': error_details})
            except Exception as e:
                error_details = str(e)
                error_log.append({'attempt': attempt, 'details': error_details})
        
        return {'success': False, 'error_log': error_log}


# Example usage
import random

def sample_operation() -> Dict[str, Any]:
    if random.random() < 0.8:
        return {'data': 'Success'}
    else:
        return {'error': 'Sample operation failed'}

recovery_planner = RecoveryPlanner(max_attempts=3)
error_log = []

result = recovery_planner.plan_recovery(sample_operation, error_log)

print(result)
```