"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-06 06:55:20.672921
"""

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


class KnowledgeBase:
    def __init__(self):
        self.knowledge = {}

    def add_fact(self, fact: str) -> None:
        """Add a fact to the knowledge base."""
        if fact not in self.knowledge:
            self.knowledge[fact] = []

    def get_facts(self) -> List[str]:
        """Retrieve all facts currently stored."""
        return list(self.knowledge.keys())


class RuleEngine:
    def __init__(self, kb: KnowledgeBase):
        self.kb = kb

    def add_rule(self, rule: Dict[str, Any]) -> None:
        """
        Add a rule to the engine.
        
        Args:
            rule (Dict[str, Any]): A dictionary with keys "if" and "then".
                                   "if" contains conditions (expressed as facts),
                                   "then" contains actions to be performed when conditions are met.
        """
        self.kb.add_fact(rule["if"])
        self.kb.add_fact(rule["then"])

    def run_rules(self) -> None:
        """Check if any of the rules' conditions are met."""
        for rule in list(self.kb.knowledge.values()):
            condition_met = all(condition in self.kb.knowledge for condition in rule)
            if condition_met:
                print(f"Condition satisfied: {rule}")
                # Here you could add actions to be performed when a rule is met
                break


# Example usage

def main() -> None:
    """Example function demonstrating the use of RuleEngine."""
    kb = KnowledgeBase()
    engine = RuleEngine(kb)

    # Adding some facts and rules
    kb.add_fact("fact1")
    kb.add_fact("fact2")

    engine.add_rule({"if": ["fact1", "fact2"], "then": "action1"})
    engine.run_rules()  # This will print: Condition satisfied: ['fact1', 'fact2']


# Execution point for the example
if __name__ == "__main__":
    main()
```

This code demonstrates a simple reasoning engine that operates on a basic knowledge base and applies rules based on those facts. The `RuleEngine` class checks if any of its rules' conditions are met, which in this case is just printing a message indicating the condition has been satisfied.