"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-07 17:54:26.814658
"""

```python
from typing import List, Dict


class ReasoningEngine:
    """
    A simple reasoning engine that solves a limited set of problems based on rules and conditions.
    """

    def __init__(self):
        self.knowledge_base: Dict[str, List[str]] = {}

    def add_rule(self, rule_name: str, conditions: List[str], actions: List[str]):
        """
        Add a new rule to the knowledge base.

        :param rule_name: The name of the rule.
        :param conditions: A list of conditions that must be met for the action(s) to be executed.
        :param actions: A list of actions to be taken when the conditions are met.
        """
        self.knowledge_base[rule_name] = {
            'conditions': conditions,
            'actions': actions
        }

    def infer(self, facts: List[str]) -> Dict[str, str]:
        """
        Infer conclusions from the given set of facts.

        :param facts: A list of known facts.
        :return: A dictionary mapping rule names to inferred action results.
        """
        inferences = {}
        for rule_name, rule_details in self.knowledge_base.items():
            matched_conditions = all(condition in facts for condition in rule_details['conditions'])
            if matched_conditions:
                actions = rule_details['actions']
                for action in actions:
                    inferences[rule_name] = action
                    break  # Execute only one action per matching rule

        return inferences


# Example usage:

reasoning_engine = ReasoningEngine()
reasoning_engine.add_rule(
    "rule1",
    conditions=["factA", "factB"],
    actions=["executeAction1"]
)

reasoning_engine.add_rule(
    "rule2",
    conditions=["factB", "factC"],
    actions=["executeAction2"]
)

facts = ["factA", "factB", "factC"]
inferences = reasoning_engine.infer(facts)
print(inferences)  # Expected output: {'rule1': 'executeAction1', 'rule2': 'executeAction2'}
```