from typing import Dict, List, Any
from sentence_transformers import SentenceTransformer
import pandas as pd
import numpy as np
import os


class EndpointHandler:
    def __init__(self, path=""):
        self.model = SentenceTransformer("sentence-transformers/all-MiniLM-L6-v2")

        self.embeddings = np.load(os.path.join(path, "embeddings.npy"))
        self.spotify = pd.read_csv(os.path.join(path, "spotify.csv"))

    def __call__(self, data: Dict[str, Any]) -> List[float]:
        """
         data args:
              inputs (:obj: `str` | `PIL.Image` | `np.array`)
              kwargs
        Return:
              A :obj:`list` | `dict`: will be serialized and returned
        """
        input_embedding = self.model.encode(data["inputs"])
        cos_score = self.embeddings @ input_embedding
        top_10 = cos_score.argsort()[-10:][::-1]
        return self.spotify.iloc[top_10].to_dict(orient="records")