from langchain_community.embeddings import DashScopeEmbeddings
from langchain_community.embeddings  import OpenAIEmbeddings
import os


def get_embedding(embedding: str):


    # if embedding == "m3e":
        # embedding = OpenAIEmbeddings(
        #     model="m3e",
        #     api_key="sk-ZcS0IOaaR5FxEXAO2aEb9a37A7Cd41Fd9a70C74a854c20Af",
        #     base_url="http://192.168.3.233:3001/v1",
        #     headers={'content-type': 'application/json'}
        # )
        # try:
        #     response = embedding.client.create(
        #         model="m3e",
        #         input=["Sample text for embedding"]
        #     )
        #     print("Response:", response)
    return DashScopeEmbeddings(dashscope_api_key="sk-86d4622141d74e9a8d7c38ee873c4d91")
        # except Exception as e:
        #     print(f"Error: {e}")
        #     raise
    # else:
    #     raise ValueError(f"embedding {embedding} not support ")