"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-07 07:02:10.905326
"""

```python
class ReasoningEngine:
    """
    A simple reasoning engine designed to address limited reasoning sophistication.
    
    This class implements a basic rule-based system for decision making processes,
    allowing for inference based on predefined conditions and outcomes.

    Args:
        rules: A list of functions representing logical conditions. Each function takes
               state data as input and returns True if the condition is met, False otherwise.
        actions: A dictionary mapping the results of the rule functions to corresponding actions.
                 The keys are the return values from the rules, and the values are action functions.

    Methods:
        decide(state_data): Determines the appropriate action based on the state data and predefined rules.
    """

    def __init__(self, rules: list, actions: dict):
        self.rules = rules
        self.actions = actions

    def decide(self, state_data) -> str:
        """
        Decides the correct course of action based on provided state data.

        Args:
            state_data (dict): A dictionary containing current state information used to evaluate rules.

        Returns:
            str: The name or description of the chosen action.
        """
        for rule in self.rules:
            if rule(state_data):
                return self.actions[rule()]
        return "default_action"  # Fallback option

# Example usage
def is_hot_day(data) -> bool:
    """Rule to check if the temperature is above 30 degrees Celsius."""
    return data.get("temperature", 0) > 30


def water_plants() -> str:
    """Action function to water plants."""
    return "Watering plants due to hot weather."


def turn_on_air_conditioner() -> str:
    """Action function to activate the air conditioner."""
    return "Turning on air conditioner for comfort."


# Define rules and actions
rules = [is_hot_day]
actions = {True: water_plants, False: turn_on_air_conditioner}

# Create an instance of ReasoningEngine with defined rules and actions
reasoning_engine = ReasoningEngine(rules, actions)

# Example state data
state_data = {"temperature": 32}  # Simulating a hot day

# Decision based on the current state
action_taken = reasoning_engine.decide(state_data)
print(action_taken)  # Output: "Watering plants due to hot weather."
```