"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-07 17:21:21.617730
"""

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


class ReasoningLevel(Enum):
    LOW = 1
    MEDIUM = 2
    HIGH = 3


def create_reasoning_engine(
    knowledge_base: Dict[str, Any],
    problem_domain: str,
    reasoning_level: ReasoningLevel = ReasoningLevel.LOW,
) -> 'ReasoningEngine':
    """
    Creates a simple reasoning engine for solving problems within a specified domain.
    
    :param knowledge_base: A dictionary containing the foundational data and rules.
    :param problem_domain: The specific area of expertise or focus of the reasoning engine.
    :param reasoning_level: Determines the complexity of the reasoning process. Default is LOW.
    :return: An instance of ReasoningEngine with configured settings.
    """
    if not knowledge_base:
        raise ValueError("Knowledge base cannot be empty")

    if not problem_domain:
        raise ValueError("Problem domain must be specified")

    return ReasoningEngine(knowledge_base, problem_domain, reasoning_level)


class ReasoningEngine:
    def __init__(self, knowledge_base: Dict[str, Any], problem_domain: str, level: ReasoningLevel):
        self.knowledge_base = knowledge_base
        self.problem_domain = problem_domain
        self.reasoning_level = level

    def query(self, question: str) -> List[Dict[str, Any]]:
        """
        Queries the reasoning engine with a specific question.
        
        :param question: A string representing the user's query or request.
        :return: A list of dictionaries containing the answers based on the knowledge base and current problem domain.
        """
        # Simplified example logic for querying
        if "weather" in question.lower() and self.reasoning_level == ReasoningLevel.LOW:
            return [{"answer": "The weather is sunny.", "source": "Local Weather Station"}]
        
        elif "temperature" in question.lower() and self.reasoning_level >= ReasoningLevel.MEDIUM:
            return [{"answer": "The temperature is 25 degrees Celsius.", "source": "Weather API"}]
        
        else:
            return [{"answer": f"No relevant information found for {question}.", "source": "Unknown"}]

    def learn(self, new_info: Dict[str, Any]) -> None:
        """
        Updates the knowledge base with new information.
        
        :param new_info: A dictionary containing new data or rules to be added to the knowledge base.
        """
        self.knowledge_base.update(new_info)


# Example usage
knowledge = {
    "weather": {"forecast": "sunny"},
    "temperature": 25,
}
engine = create_reasoning_engine(knowledge, "climate")
print(engine.query("What is the weather like?"))
print(engine.query("Can you tell me about the temperature?"))

engine.learn({"humidity": 60})
print(engine.query("What is the humidity level?"))
```