# 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://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 pytest

from sagemaker.rl import RLEstimator
from test.integration import RESOURCE_PATH
import local_mode_utils


def test_gym(local_instance_type, sagemaker_local_session, docker_image, tmpdir, framework):
    source_path = os.path.join(RESOURCE_PATH, 'gym')
    gym_script = 'launcher.sh' if framework == 'tensorflow' else 'gym_envs.py'
    estimator = RLEstimator(entry_point=gym_script,
                            source_dir=source_path,
                            role='SageMakerRole',
                            instance_count=1,
                            instance_type=local_instance_type,
                            sagemaker_session=sagemaker_local_session,
                            output_path='file://{}'.format(tmpdir),
                            image_uri=docker_image)
    estimator.fit()

    local_mode_utils.assert_output_files_exist(str(tmpdir), 'output', ['success'])
    assert os.path.exists(os.path.join(str(tmpdir), 'model.tar.gz')), 'model file not found'