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import numpy as np
import sys
import json

sys.path.append('../../')
import triton_python_backend_utils as pb_utils


class TritonPythonModel:
    def initialize(self, args):
        self.model_config = json.loads(args['model_config'])
        self._index = 0
        self._dtypes = [np.bytes_, np.object_, np.object]

    def execute(self, requests):
        """ This function is called on inference request.
        """

        responses = []
        for request in requests:
            in_0 = pb_utils.get_input_tensor_by_name(request, "INPUT0")
            out_tensor_0 = pb_utils.Tensor(
                "OUTPUT0",
                np.array(['123456'], dtype=self._dtypes[self._index]))
            self._index += 1
            responses.append(pb_utils.InferenceResponse([out_tensor_0]))
        return responses
