def _embedding_query()

in src/lindorm_mcp_server/lindorm_vector_search.py [0:0]

• 7 lines of code
• 2 McCabe index (conditional complexity)

    def _embedding_query(self, query: str) -> list[float]:
        code, res_or_exception = text_embedding(self.ai_host, self.username, self.password, self.text_embedding_model,
                                                query)
        if code < 0:
            raise RuntimeError(f"failed to get embedding, cause:{res_or_exception}")
        assert isinstance(res_or_exception, list)
        return res_or_exception[0]