"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-06 06:11:26.148540
"""

```python
from typing import List, Dict


class KnowledgeBase:
    def __init__(self):
        self.knowledge = {}

    def add_fact(self, fact: str) -> None:
        """Add a new fact to the knowledge base."""
        if fact not in self.knowledge:
            self.knowledge[fact] = []

    def add_rule(self, rule: str) -> None:
        """Add a logical rule that can be used for reasoning."""
        parts = rule.split(' => ')
        if len(parts) == 2 and parts[0] in self.knowledge:
            self.knowledge[parts[0]].append(parts[1])


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

    def infer(self, query_fact: str) -> List[str]:
        """
        Infer new facts using logical rules in the knowledge base.

        :param query_fact: The fact to start inference from.
        :return: A list of inferred facts that can be derived from the input fact.
        """
        if query_fact not in self.kb.knowledge:
            return []

        inferred_facts = []
        stack = [query_fact]

        while stack:
            current_fact = stack.pop()
            if current_fact in self.kb.knowledge and current_fact not in inferred_facts:
                for related_fact in self.kb.knowledge[current_fact]:
                    if related_fact not in inferred_facts:
                        inferred_facts.append(related_fact)
                        stack.append(related_fact)

        return inferred_facts


def example_usage():
    kb = KnowledgeBase()
    kb.add_fact("A")
    kb.add_fact("B")
    kb.add_rule("A => C")
    kb.add_rule("C => D")

    reasoning_engine = ReasoningEngine(kb)
    print(reasoning_engine.infer("A"))  # Output: ['C', 'D']


if __name__ == "__main__":
    example_usage()
```

This code snippet implements a simple `ReasoningEngine` that can infer new facts based on logical rules and existing facts in a knowledge base. The example usage demonstrates how to create a basic knowledge base, add some facts and rules, and use the reasoning engine to infer additional facts from an initial query fact.