"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-08 17:04:03.268911
"""

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


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

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

    def get_facts(self, key: str) -> List[Any]:
        """Get all facts associated with a given key."""
        return self.knowledge.get(key, [])


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

    def infer(self, query_key: str, required_keys: List[str]) -> Dict[str, Any]:
        """
        Perform a simple reasoning task to infer facts from existing knowledge.

        :param query_key: The key for the fact we want to infer.
        :param required_keys: A list of keys that must be present in the KB to answer the query.
        :return: A dictionary containing inferred facts, or an empty dict if no inference can be made.
        """
        results = {}
        missing_keys = set(required_keys) - set(self.kb.get_facts(query_key))
        for key in missing_keys:
            if key not in self.kb.knowledge:
                return {}  # Cannot infer without required facts
        for key in required_keys:
            for fact in self.kb.get_facts(key):
                results[key] = fact
        return results


# Example usage

if __name__ == "__main__":
    kb = KnowledgeBase()
    kb.add_fact("person", "John")
    kb.add_fact("age", 25)
    kb.add_fact("city", "New York")

    engine = ReasoningEngine(kb)

    # Query to infer someone's age from their name and city
    required_keys = ["person", "city"]
    query_key = "age"

    inferred_facts = engine.infer(query_key, required_keys)
    print(inferred_facts)  # Expected output: {'person': 'John', 'city': 'New York'}

    # Attempting to infer age from an incomplete set of facts
    required_keys_incomplete = ["person", "occupation"]
    query_key_incomplete = "age"

    inferred_facts_incomplete = engine.infer(query_key_incomplete, required_keys_incomplete)
    print(inferred_facts_incomplete)  # Expected output: {}
```

This code implements a simple reasoning engine that can infer related facts from an existing knowledge base. The `KnowledgeBase` class stores the facts, and the `ReasoningEngine` class performs inferences based on these facts.