"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-07 20:28:11.616497
"""

```python
from typing import List, Dict, Any


class ReasoningEngine:
    """
    A simple reasoning engine that enhances decision-making by applying logical rules.
    This implementation addresses limited reasoning sophistication by focusing on basic conditional logic.
    """

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

    def apply_rule(self, condition: str, data: Dict[str, Any]) -> bool:
        """
        Apply a single rule based on the provided condition and input data.

        :param condition: A string representing the logical condition.
        :param data: A dictionary containing necessary data to evaluate the condition.
        :return: True if the condition is met, False otherwise.
        """
        try:
            return eval(condition, {}, data)
        except Exception as e:
            print(f"Error evaluating condition {condition}: {e}")
            return False

    def reason(self, input_data: Dict[str, Any]) -> bool:
        """
        Reason over all the rules and determine if a decision should be made.

        :param input_data: A dictionary containing necessary data to evaluate each rule.
        :return: True if any of the rules are met, False otherwise.
        """
        for rule in self.rules:
            condition = rule.get("condition", "")
            if self.apply_rule(condition, input_data):
                return True
        return False


# Example usage
if __name__ == "__main__":
    # Define some rules with conditions and actions
    rules = [
        {"condition": "input_data['temperature'] > 30 and input_data['humidity'] < 50"},
        {"condition": "input_data['sensor1_value'] < 10 or input_data['sensor2_value'] > 90"}
    ]

    # Initialize the reasoning engine with these rules
    engine = ReasoningEngine(rules)

    # Simulated input data for testing
    test_data = {
        'temperature': 35,
        'humidity': 48,
        'sensor1_value': 7,
        'sensor2_value': 95
    }

    # Apply the reasoning and print the result
    decision_made = engine.reason(test_data)
    print(f"Decision made: {decision_made}")
```

This code defines a `ReasoningEngine` class that can apply logical rules to input data. The example usage demonstrates how to use this class with some predefined rules and test data.