"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-06 18:56:10.937881
"""

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


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 the fact to be added.
        """
        self.knowledge.append(fact)

    def get_facts(self) -> List[str]:
        """
        Retrieves all facts in the knowledge base.

        :return: A list of strings, each representing a fact.
        """
        return self.knowledge


class ReasoningEngine:
    def __init__(self, knowledge_base: KnowledgeBase):
        self.knowledge_base = knowledge_base

    def infer_new_fact(self, premises: List[str], conclusion_template: str) -> str:
        """
        Infers new facts based on existing ones and a template.

        :param premises: A list of strings representing the premises.
        :param conclusion_template: A string where parts can be replaced with values from premises to form conclusions.
        :return: A generated conclusion as per the given template, or an empty string if no valid inference is possible.
        """
        facts = self.knowledge_base.get_facts()
        for premise in premises:
            if premise in facts:
                conclusion = conclusion_template.format(**{premise.split(":")[0]: premise.split(":")[1]})
                return conclusion
        return ""

    def solve_problem(self, problem: str) -> str:
        """
        Solves a given problem by inferring new facts.

        :param problem: A string describing the problem to be solved.
        :return: The inferred solution or an empty string if no valid inference is possible.
        """
        premises = self.extract_premises(problem)
        conclusion_template = "Solution: {premise}: {value}"
        return self.infer_new_fact(premises, conclusion_template)

    def extract_premises(self, problem: str) -> List[str]:
        """
        Extracts relevant premises from a given problem statement.

        :param problem: A string describing the problem.
        :return: A list of strings representing extracted premises.
        """
        # Simplified premise extraction for demonstration
        return [fact for fact in self.knowledge_base.get_facts() if fact in problem]

# Example Usage
if __name__ == "__main__":
    kb = KnowledgeBase()
    kb.add_fact("A: Apple")
    kb.add_fact("B: Banana")

    engine = ReasoningEngine(kb)

    # Problem: If A is an apple, then what is A?
    print(engine.solve_problem("If A is an apple, then what is A?"))

```