"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-08 11:38:00.148705
"""

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

class ReasoningEngine:
    """
    A basic reasoning engine for solving problems with limited sophistication.
    
    This class provides methods to solve a specific problem using predefined rules and heuristics.

    Args:
        knowledge_base (List[Dict[str, Any]]): A list of dictionaries representing the knowledge base containing facts and rules.
        
    Methods:
        __init__(self, knowledge_base: List[Dict[str, Any]]) -> None:
            Initializes the reasoning engine with a given knowledge base.
            
        evaluate(self, problem_statement: str) -> str:
            Evaluates the given problem statement using the knowledge base and returns a reasoned response.
    """

    def __init__(self, knowledge_base: List[Dict[str, Any]]):
        self.knowledge_base = knowledge_base

    def evaluate(self, problem_statement: str) -> str:
        """
        Evaluate the problem statement based on the knowledge base.

        Args:
            problem_statement (str): A string representing the problem to be solved.
        
        Returns:
            str: A reasoned response based on the evaluation of the problem statement.
        """
        for fact in self.knowledge_base:
            if all(key in fact and fact[key] == value for key, value in eval(problem_statement).items()):
                return f"Based on the given facts, the solution to {problem_statement} is: {fact.get('solution', 'unknown')}"
        
        return "No sufficient information provided to solve this problem."

# Example usage
if __name__ == "__main__":
    knowledge_base = [
        {"temperature": 25, "humidity": 40, "solution": "Ideal conditions"},
        {"temperature": 30, "humidity": 60, "solution": "Humidity is too high for ideal conditions"},
        {"temperature": 18, "humidity": 50, "solution": "Temperature is too low for ideal conditions"}
    ]
    
    reasoning_engine = ReasoningEngine(knowledge_base)
    print(reasoning_engine.evaluate("{'temperature': 27, 'humidity': 45}"))
```