"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-06 14:03:37.668281
"""

```python
from typing import List, Dict


class ReasoningEngine:
    """
    A basic reasoning engine to solve problems with limited reasoning sophistication.
    
    Attributes:
        knowledge_base (Dict[str, List[str]]): Stores rules and facts for inference.
        
    Methods:
        add_rule(rule: str) -> None:
            Adds a new rule to the knowledge base.
            
        infer(question: str) -> List[str]:
            Attempts to infer an answer based on the current knowledge base.
    """
    
    def __init__(self):
        self.knowledge_base = {}
        
    def add_rule(self, rule: str) -> None:
        """
        Adds a new rule to the knowledge base.

        Args:
            rule (str): The rule in format "If X then Y".
        """
        if 'if' not in rule.lower() or 'then' not in rule.lower():
            raise ValueError("Rule must be in format 'If X then Y'")
        
        parts = rule.split('then')
        condition, conclusion = [part.strip().strip(',') for part in parts]
        self.knowledge_base.setdefault(condition, []).append(conclusion)
    
    def infer(self, question: str) -> List[str]:
        """
        Attempts to infer an answer based on the current knowledge base.

        Args:
            question (str): The question to be answered.

        Returns:
            List[str]: A list of potential answers inferred from the rules.
        """
        if 'if' not in question.lower() or 'then' not in question.lower():
            raise ValueError("Question must be a conditional statement")
        
        parts = question.split('then')
        condition, _ = [part.strip().strip(',') for part in parts]
        return self.knowledge_base.get(condition, [])
    

# Example Usage
if __name__ == "__main__":
    engine = ReasoningEngine()
    
    # Adding rules
    engine.add_rule("If it is raining then take an umbrella")
    engine.add_rule("If the ground is wet then it has rained")
    
    # Asking questions
    print(engine.infer("If the ground is wet then what?"))
```

This code defines a basic `ReasoningEngine` class capable of adding rules and inferring answers based on those rules. The example usage demonstrates how to use this reasoning engine in practice.