from typing import Dict, List, Any
from transformers import pipeline
import mii

class EndpointHandler():
    def __init__(self, path=""):
        self.deploy_name = "bert"
        mii_config = {"dtype": "fp16"}
        mii.deploy(task='text-classification',
                   model=path,
                   deployment_name=deploy_name,
                   mii_config=mii_config)
        # create handler for server
        self.pipeline = mii.mii_query_handle(self.deploy_name)


    def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
        """
       data args:
            inputs (:obj: `str`)
            date (:obj: `str`)
      Return:
            A :obj:`list` | `dict`: will be serialized and returned
        """
        # get inputs
        inputs = data.pop("inputs",data)
        date = data.pop("date", None)
        # check if date exists and if it is a holiday
        if date is not None and date in self.holidays:
          return [{"label": "happy", "score": 1}]
        # run normal prediction
        prediction = self.pipeline(inputs)
        return prediction