from src.utils.config import MINIDALALM_MODEL
from sentence_transformers import SentenceTransformer


class DalaEmbedder:
    """
    Simple wrapper for the MiniDalaLM embedding model
    """
    def __init__(self, model_path: str = MINIDALALM_MODEL):
        self.model = SentenceTransformer(model_path)


    def embed_text(self, text: str) -> list[float]:
        """
        Embed a single string of text.
        """
        return self.model.encode(text, convert_to_numpy = True).tolist()
    

    def embed_batch(self, texts: list[str]) -> list[list[float]]:
        """
        Embed a batch of text strings.
        """
        return self.model.encode(texts, convert_to_numpy = True)
    

    def get_model(self) -> SentenceTransformer:
        """
        Get function to enable access to the MiniDalaLM model.
        """
        return self.model