"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-06 08:37:42.208379
"""

```python
from typing import List, Dict


class ReasoningEngine:
    """
    A basic reasoning engine to solve problems involving limited reasoning sophistication.
    
    This class provides a simple rule-based system for making decisions based on predefined conditions.
    """

    def __init__(self):
        self.rules: List[Dict[str, any]] = []

    def add_rule(self, condition: str, action: callable) -> None:
        """
        Adds a new rule to the reasoning engine.

        :param condition: A string representing the condition under which the action should be taken.
        :param action: The function or lambda to execute when the condition is met.
        """
        self.rules.append({"condition": condition, "action": action})

    def reason(self, data: Dict[str, any]) -> None:
        """
        Applies all rules to a given set of data and executes matching actions.

        :param data: A dictionary containing the data to be used in evaluating conditions.
        """
        for rule in self.rules:
            if eval(rule["condition"], {}, {"data": data}):
                rule["action"](data)


# Example usage
def update_status(data: Dict[str, any]) -> None:
    print(f"Updating status based on condition. Current status is {data['status']}.")


def process_data(data: Dict[str, any]) -> None:
    print(f"Processing data: {data}")


reasoning_engine = ReasoningEngine()

# Adding rules
reasoning_engine.add_rule("data['temperature'] > 30", update_status)
reasoning_engine.add_rule("data['is_raining'] == True and data['status'] == 'open'", process_data)

# Example data
example_data = {
    "temperature": 25,
    "is_raining": False,
    "status": "closed"
}

# Applying reasoning to the example data
reasoning_engine.reason(example_data)
```