"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-08 05:38:25.926240
"""

```python
from typing import List, Optional


class KnowledgeBase:
    def __init__(self):
        self.knowledge = []

    def add_fact(self, fact: str) -> None:
        """
        Adds a new fact to the knowledge base.

        :param fact: A string representing a factual statement.
        """
        self.knowledge.append(fact)

    def get_relevant_facts(self, query: str) -> List[str]:
        """
        Retrieves relevant facts from the knowledge base based on a query.

        :param query: A string representing the user's query or question.
        :return: A list of strings that are relevant to the query.
        """
        return [fact for fact in self.knowledge if any(word in fact for word in query.split())]


def find_solution(kb: KnowledgeBase, problem: str) -> Optional[str]:
    """
    Attempts to solve a given problem using the knowledge base.

    :param kb: An instance of KnowledgeBase containing relevant facts.
    :param problem: A string representing the user's problem statement.
    :return: A string with the solution if found; otherwise None.
    """
    relevant_facts = kb.get_relevant_facts(problem)
    
    for fact in relevant_facts:
        # Hypothetical reasoning step
        if "temperature" in fact and "heating" in problem:
            return f"The temperature-related facts might help solve the heating issue."
        
        if "power outage" in fact and "reboot" in problem:
            return f"A power outage could be resolved by rebooting the system."
    
    return None


# Example usage
if __name__ == "__main__":
    kb = KnowledgeBase()
    kb.add_fact("High temperature can damage electronic components.")
    kb.add_fact("A power outage affected the server room's temperature control.")
    kb.add_fact("Rebooting the system can resolve a power outage issue.")

    problem_statement = "The servers are overheating after a recent power outage."
    solution = find_solution(kb, problem_statement)

    if solution:
        print(f"Solution: {solution}")
    else:
        print("No suitable solution found in the knowledge base.")
```

This code creates a basic reasoning engine that uses a simple keyword matching approach to solve problems based on facts stored in a knowledge base. The `find_solution` function demonstrates how such an engine might attempt to match problem statements with relevant information from the knowledge base and provide a potential solution.