"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-07 22:07:30.835963
"""

```python
class ReasoningEngine:
    """
    A simple reasoning engine that processes a set of rules and applies them to input data.
    
    The engine can handle basic logical operations such as AND, OR, NOT and uses these to make decisions.
    
    Args:
        rules: A list of dictionaries representing the rules. Each rule dictionary contains 'condition' (a string) 
               and 'action' (a callable).
        
    Methods:
        process(input_data): Processes input data according to the defined rules.
    """
    
    def __init__(self, rules: list[dict[str, dict]]):
        self.rules = rules
    
    def _evaluate_condition(self, condition_str: str, input_data) -> bool:
        try:
            # Simplified evaluation of conditions
            return eval(condition_str, {"__builtins__": None}, input_data)
        except Exception as e:
            raise ValueError(f"Failed to evaluate condition {condition_str}: {e}")
    
    def process(self, input_data: dict):
        for rule in self.rules:
            condition = rule['condition']
            action = rule['action']
            
            if self._evaluate_condition(condition, input_data):
                return action(input_data)
        
        # No rule matched
        return None
    
def example_action(input_data: dict) -> str:
    """Example action function that returns a message based on the input data."""
    return f"Action triggered for {input_data}"
    
if __name__ == "__main__":
    # Define some rules
    rules = [
        {
            'condition': "data['temperature'] > 30 and data['humidity'] < 40",
            'action': lambda data: example_action(data) + f" with high temperature."
        },
        {
            'condition': "data['rainfall'] > 50 or data['wind_speed'] > 20",
            'action': lambda data: example_action(data) + f" due to severe weather conditions."
        }
    ]
    
    # Example input data
    input_data = {'temperature': 31, 'humidity': 38, 'rainfall': 45, 'wind_speed': 25}
    
    # Create and use the reasoning engine
    engine = ReasoningEngine(rules)
    result = engine.process(input_data)
    print(result)  # Expected output: "Action triggered for {'temperature': 31, 'humidity': 38, 'rainfall': 45, 'wind_speed': 25} with high temperature."
```

This code defines a `ReasoningEngine` class that processes input data based on predefined rules. Each rule consists of a condition and an action to be executed if the condition is met. The example usage demonstrates how to set up such a reasoning engine for basic logical operations.