def parse_messages()

in src/frontend_service/orchestrator/langgraph/langgraph_orchestrator.py [0:0]

• 10 lines of code
• 4 McCabe index (conditional complexity)

    def parse_messages(self, datas: List[Any]) -> List[BaseMessage]:
        messages: List[BaseMessage] = []
        for data in datas:
            if data["type"] == "human":
                messages.append(HumanMessage(content=data["data"]["content"]))
            elif data["type"] == "ai":
                messages.append(AIMessage(content=data["data"]["content"]))
            else:
                raise Exception("Message type not found.")
        return messages