"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-06 03:22:49.486571
"""

```python
from typing import List, Dict


class ReasoningEngine:
    """
    A simple reasoning engine that solves a limited set of problems based on provided rules.
    """

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

    def add_rule(self, category: str, rule: Dict[str, str]) -> None:
        """
        Adds a rule to the knowledge base.

        :param category: The category of the rule.
        :param rule: A dictionary representing the rule with conditions and conclusions.
        """
        if category not in self.knowledge_base:
            self.knowledge_base[category] = []
        self.knowledge_base[category].append(rule)

    def reason(self, input_data: Dict[str, str]) -> List[str]:
        """
        Applies rules from the knowledge base to the given input data and returns conclusions.

        :param input_data: A dictionary representing the current state with conditions.
        :return: A list of conclusions drawn based on the rules.
        """
        conclusions = []
        for category, rules in self.knowledge_base.items():
            for rule in rules:
                if all(rule_condition in input_data and input_data[rule_condition] == rule_value
                       for rule_condition, rule_value in rule.items()):
                    conclusions.append(category)
                    break  # Stop at the first matching rule

        return list(set(conclusions))  # Remove duplicates


# Example usage:

engine = ReasoningEngine()
engine.add_rule("Temperature", {"is_cold": "yes"})
engine.add_rule("Humidity", {"is_dry": "no", "is_cold": "yes", "conclusion": "Freeze risk is high"})

input_data = {"is_cold": "yes", "is_dry": "yes"}
print(engine.reason(input_data))  # Expected output: ['Freeze risk is high']
```