# 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://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 import utils
from sagemaker.mxnet.estimator import MXNet
from ..... import invoke_sm_helper_function

from ...integration import RESOURCE_PATH

NLP_DATA_PATH = os.path.join(RESOURCE_PATH, "nlp")
NLP_SCRIPT_PATH = os.path.join(NLP_DATA_PATH, "word_embedding.py")


@pytest.mark.integration("gluonnlp")
@pytest.mark.model("word_embeddings")
@pytest.mark.skip_py2_containers
def test_nlp_training(ecr_image, sagemaker_regions, instance_type, framework_version):
    invoke_sm_helper_function(
        ecr_image, sagemaker_regions, _test_nlp_training, instance_type, framework_version
    )


def _test_nlp_training(ecr_image, sagemaker_session, instance_type, framework_version):
    nlp = MXNet(
        entry_point=NLP_SCRIPT_PATH,
        role="SageMakerRole",
        instance_count=1,
        instance_type=instance_type,
        sagemaker_session=sagemaker_session,
        image_uri=ecr_image,
        framework_version=framework_version,
        train_max_run=5 * 60,
    )

    job_name = utils.unique_name_from_base("test-nlp-image")
    nlp.fit(job_name=job_name)