#  Copyright 2018 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://www.apache.org/licenses/LICENSE-2.0
#
#  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 pytest

from sagemaker.mxnet import MXNet

from ...integration.local import local_mode_utils
from ...integration import MODEL_SUCCESS_FILES, RESOURCE_PATH


@pytest.mark.integration("linear_regression")
@pytest.mark.model("linear_regression")
def test_linear_regression(
    docker_image, sagemaker_local_session, local_instance_type, framework_version, tmpdir
):
    lr_path = os.path.join(RESOURCE_PATH, "linear_regression")

    mx = MXNet(
        entry_point=os.path.join(lr_path, "linear_regression.py"),
        role="SageMakerRole",
        instance_count=1,
        instance_type=local_instance_type,
        sagemaker_session=sagemaker_local_session,
        image_uri=docker_image,
        framework_version=framework_version,
        output_path="file://{}".format(tmpdir),
    )

    data_path = os.path.join(lr_path, "data")
    s3_prefix = "integ-test-data/mxnet-linear-regression"
    train_input = sagemaker_local_session.upload_data(
        path=os.path.join(data_path, "training"), key_prefix=s3_prefix
    )
    eval_input = sagemaker_local_session.upload_data(
        path=os.path.join(data_path, "evaluation"), key_prefix=s3_prefix
    )

    mx.fit({"training": train_input, "evaluation": eval_input})

    for directory, files in MODEL_SUCCESS_FILES.items():
        local_mode_utils.assert_output_files_exist(str(tmpdir), directory, files)