"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-05 21:50:08.738303
"""

```python
from typing import List, Dict

class ReasoningEngine:
    """
    A simple reasoning engine designed to handle limited reasoning tasks.
    
    Methods:
        infer_rule: Applies a given rule to solve a problem based on input data.
        check_conditions: Evaluates if the conditions are met for applying a rule.
    """

    def __init__(self, rules: List[Dict[str, any]], initial_data: Dict[str, any]):
        """
        Initializes the ReasoningEngine with rules and initial data.

        :param rules: A list of dictionaries where each dictionary represents a reasoning rule.
                      Each rule should contain 'condition' and 'action' keys.
        :param initial_data: A dictionary containing initial input data to be used in inference.
        """
        self.rules = rules
        self.data = initial_data

    def infer_rule(self, rule_name: str) -> any:
        """
        Applies the specified reasoning rule on the current data.

        :param rule_name: The name of the rule to apply.
        :return: The result after applying the rule.
        """
        for rule in self.rules:
            if rule['name'] == rule_name and self.check_conditions(rule):
                return rule['action'](self.data)
        return None

    def check_conditions(self, rule: Dict[str, any]) -> bool:
        """
        Checks if all conditions specified in the rule are met.

        :param rule: The rule dictionary to check.
        :return: True if all conditions are met, False otherwise.
        """
        for condition_key, condition_value in rule['condition'].items():
            if self.data.get(condition_key) != condition_value:
                return False
        return True

# Example usage:

rules = [
    {
        'name': 'rule1',
        'condition': {'temperature': 25},
        'action': lambda data: f"Condition met for rule1, current temperature is {data['temperature']}"
    },
    {
        'name': 'rule2',
        'condition': {'pressure': 980},
        'action': lambda data: f"Condition met for rule2, pressure level is {data['pressure']}"
    }
]

initial_data = {'temperature': 30, 'pressure': 1000}

reasoning_engine = ReasoningEngine(rules=rules, initial_data=initial_data)

# Applying the rules
print(reasoning_engine.infer_rule('rule1'))  # Output: Condition met for rule1, current temperature is 30
print(reasoning_engine.infer_rule('rule2'))  # Output: None (since conditions are not met)
```

This code creates a simple reasoning engine capable of applying predefined rules based on the input data. The `ReasoningEngine` class includes methods to check if the conditions for a rule are met and then to infer the result of that rule. An example usage is provided to demonstrate how this engine could be utilized in practice.