def convert_text_to_embeddings()

in backend/matching-engine/services/sentence_transformer_service.py [0:0]

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

    def convert_text_to_embeddings(self, target: str) -> Optional[List[float]]:
        vector = self.encoder.encode(target)

        if np.any(vector):
            return vector.tolist()
        else:
            return None