"""Create recovery_planner
Generated by Phi-Octopus Eden
2025-11-06 00:34:38.401777
"""

```python
from typing import Any, Dict

class RecoveryPlanner:
    """
    A class designed to handle limited error recovery scenarios.
    
    This capability will attempt to recover from errors by retracing steps,
    and if necessary, rerouting processes to a backup plan.

    Args:
        max_retries (int): Maximum number of retries before giving up.
        fallback_plan (Dict[str, Any]): Backup plan dictionary containing alternative steps or actions.
    """
    
    def __init__(self, max_retries: int = 3, fallback_plan: Dict[str, Any] = {}):
        self.max_retries = max_retries
        self.fallback_plan = fallback_plan

    def recover(self, current_step: str, error_message: str) -> bool:
        """
        Attempt to recover from an error during the specified step.
        
        Args:
            current_step (str): The current processing step where the error occurred.
            error_message (str): A message describing the encountered error.

        Returns:
            bool: True if recovery was successful, False otherwise.
        """
        print(f"Error detected at step '{current_step}': {error_message}")
        
        # Simulate retracing steps
        for attempt in range(self.max_retries):
            print(f"Retrying... Attempt {attempt + 1}/{self.max_retries}")
            
            if self._check_conditions(current_step, error_message):
                return True
        
        # If all retries fail, execute fallback plan or raise an exception
        if self.fallback_plan:
            print("Executing fallback plan...")
            for action in self.fallback_plan.get(current_step, []):
                print(f"Attempting backup step: {action['name']}")
                
                result = action['function'](current_step)
                if not result:
                    continue
                
                # If a function returns True, recovery is considered successful
                return True
        
        print("Recovery unsuccessful. Exiting process.")
        return False
    
    def _check_conditions(self, current_step: str, error_message: str) -> bool:
        """
        Check internal conditions to see if the step can be retraced.
        
        Args:
            current_step (str): The current processing step where the error occurred.
            error_message (str): A message describing the encountered error.

        Returns:
            bool: True if retracing is allowed, False otherwise.
        """
        # Dummy logic for demonstration purposes
        return len(error_message) > 10 and 'timeout' in error_message.lower()

# Example usage
def process_step_1(current_step):
    print(f"Processing step {current_step}...")
    return False

def process_step_2(current_step):
    print(f"Processing step {current_step}...")
    return True

fallback_plan = {
    "step1": [{"name": "Step 2", "function": process_step_2}],
}

recovery_planner = RecoveryPlanner(max_retries=3, fallback_plan=fallback_plan)

# Simulate an error in Step 1
success = recovery_planner.recover("step1", "Timeout error occurred")
print(f"Recovery successful: {success}")
```