# Copyright 2018-2020 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
#     http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompanying this file. This file is
# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
# ANY KIND, either express or implied. See the License for the specific
# language governing permissions and limitations under the License.
from __future__ import absolute_import

import os

import numpy as np
from six.moves import http_client

from sagemaker_containers.beta.framework import content_types, encoders, env, transformer, worker
import test
from test import fake_ml_framework


def predict_fn(data, model):
    return model.predict(data)


def model_fn(model_dir):
    return fake_ml_framework.Model.load(os.path.join(model_dir, "fake_ml_model"))


def test_transformer_implementation():
    test.create_resource_config()
    test.create_input_data_config()
    test.create_hyperparameters_config({"sagemaker_program": "user_script.py"})

    model_path = os.path.join(env.model_dir, "fake_ml_model")
    fake_ml_framework.Model(weights=[6, 9, 42]).save(model_path)

    transform = transformer.Transformer(model_fn=model_fn, predict_fn=predict_fn)

    transform.initialize()

    with worker.Worker(
        transform_fn=transform.transform, module_name="fake_ml_model"
    ).test_client() as client:
        payload = [6, 9, 42.0]
        response = post(client, payload, content_types.NPY, content_types.JSON)

        assert response.status_code == http_client.OK

        assert response.get_data(as_text=True) == "[36.0, 81.0, 1764.0]"

        response = post(client, payload, content_types.JSON, content_types.CSV)

        assert response.status_code == http_client.OK
        assert response.get_data(as_text=True) == "36.0\n81.0\n1764.0\n"

        response = post(client, payload, content_types.CSV, content_types.NPY)

        assert response.status_code == http_client.OK
        response_data = encoders.npy_to_numpy(response.get_data())

        np.testing.assert_array_almost_equal(response_data, np.asarray([36.0, 81.0, 1764.0]))


def post(client, payload, content_type, accept):
    return client.post(
        path="/invocations",
        headers={"accept": accept},
        data=encoders.encode(payload, content_type),
        content_type=content_type,
    )