"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-08 03:31:29.299079
"""

```python
from typing import List, Dict

class ReasoningEngine:
    """
    A basic reasoning engine designed to enhance decision-making based on limited input data.
    Solves problems related to limited reasoning sophistication by applying a set of predefined rules and conditions.

    Attributes:
        rules: A list of functions representing different reasoning steps or rules.
        context: A dictionary holding the current state and input data for the reasoning process.

    Methods:
        apply_rules: Applies all defined rules in sequence to the provided context.
        evaluate_condition(condition: str) -> bool: Evaluates a string condition into a boolean value based on the context.
    """

    def __init__(self):
        self.rules = []
        self.context = {}

    def add_rule(self, rule_function) -> None:
        """
        Adds a new reasoning step or rule to the engine.

        Args:
            rule_function: A function that takes the current context and returns True if the rule applies.
        """
        self.rules.append(rule_function)

    def apply_rules(self) -> Dict[str, bool]:
        """
        Applies all defined rules in sequence to the provided context.

        Returns:
            A dictionary where keys are rule names (as passed to add_rule) and values are boolean results of applying those rules.
        """
        results = {}
        for i, rule in enumerate(self.rules):
            result = rule(self.context)
            results[f"Rule_{i+1}"] = result
        return results

    def evaluate_condition(self, condition: str) -> bool:
        """
        Evaluates a string condition into a boolean value based on the context.

        Args:
            condition: A string representation of a condition to be evaluated. Example: "context['temperature'] > 30"

        Returns:
            True or False based on the evaluation.
        """
        try:
            exec(f"result = {condition}")
            return result
        except Exception as e:
            print(f"Error evaluating condition: {e}")
            return False

# Example usage:

def rule1(context):
    """Rule to check if temperature is above 30 degrees."""
    return context['temperature'] > 30

def rule2(context):
    """Rule to check if humidity is below 50%."""
    return context['humidity'] < 50

reasoning_engine = ReasoningEngine()
reasoning_engine.add_rule(rule1)
reasoning_engine.add_rule(rule2)

context_example = {'temperature': 32, 'humidity': 45}
results = reasoning_engine.apply_rules()

print(results)  # Output: {'Rule_1': True, 'Rule_2': True}
```