"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-08 02:53:59.806305
"""

```python
from typing import Dict, List


class ReasoningEngine:
    """
    A simple reasoning engine designed to solve problems with limited reasoning sophistication.
    
    This class provides a basic framework for making decisions based on given rules and conditions.
    """

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

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

        :param rule: A dictionary containing conditions and actions.
                     Conditions are key-value pairs where keys are variable names
                     and values are expected values or callable functions for comparison.
                     Actions are also dictionaries with 'action' as a key, which maps to a function to be executed.
        """
        self.rules.append(rule)

    def add_knowledge(self, variable: str, value: any) -> None:
        """
        Add knowledge to the knowledge base.

        :param variable: The name of the variable to store.
        :param value: The value of the variable.
        """
        self.knowledge_base[variable] = value

    def reason(self) -> bool:
        """
        Apply rules based on current knowledge and return True if a condition is met, otherwise False.

        :return: A boolean indicating whether any rule's conditions are met.
        """
        for rule in self.rules:
            conditions_satisfied = all(
                (self.knowledge_base[variable] == value if not callable(value) else value(self.knowledge_base[variable]))
                for variable, value in rule.items()
                if variable != 'action'
            )
            if conditions_satisfied:
                action = rule.get('action')
                if action:
                    print(f"Executing action: {action}")
                    action()
                return True
        return False


# Example usage:

def trigger_alarm():
    """Example function to be triggered as an action."""
    print("ALARM TRIGGERED")


reasoning_engine = ReasoningEngine()

# Adding knowledge and rules
reasoning_engine.add_knowledge('temperature', 30)
reasoning_engine.add_rule({'temperature': lambda x: x > 25, 'action': trigger_alarm})

# Testing the reasoning engine
print(reasoning_engine.reason())  # Should execute the action due to conditions met.
print(reasoning_engine.reason())  # No new knowledge added, should not execute any actions again.
```