# Copyright (c) ZenML GmbH 2021. All Rights Reserved.

# TODO [MEDIUM]: add these tests back in
# #
# #  Licensed under the Apache License, Version 2.0 (the "License");
# #  you may not use this file except in compliance with the License.
# #  You may obtain a copy of the License at:
# #
# #       http://www.apache.org/licenses/LICENSE-2.0
# #
# #  Unless required by applicable law or agreed to in writing, software
# #  distributed under the License 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.

# import random

# from zenml.enums import PipelineStatusTypes
# from zenml.pipelines.training_pipeline import TrainingPipeline

# # we expect all queries to fail since the metadata store
# # cannot be instantiated
# expected_query_error = AssertionError


# def test_metadata_init(repo):
#     """

#     Args:
#       repo:

#     Returns:

#     """
#     mds = repo.get_default_metadata_store()
#     _ = mds.store


# def test_to_config(repo):
#     """

#     Args:
#       repo:

#     Returns:

#     """
#     mds = repo.get_default_metadata_store()
#     mds.to_config()


# def test_get_pipeline_status(repo):
#     """

#     Args:
#       repo:

#     Returns:

#     """
#     random_pipeline = random.choice(repo.get_pipelines())

#     mds = repo.get_default_metadata_store()

#     assert (
#         mds.get_pipeline_status(random_pipeline)
#         == PipelineStatusTypes.Succeeded.name
#     )


# def test_get_pipeline_executions(repo):
#     """

#     Args:
#       repo:

#     Returns:

#     """
#     mds = repo.get_default_metadata_store()

#     random_pipeline = random.choice(repo.get_pipelines())

#     _ = mds.get_pipeline_executions(random_pipeline)


# def test_get_components_status(repo):
#     """

#     Args:
#       repo:

#     Returns:

#     """
#     mds = repo.get_default_metadata_store()

#     random_pipeline = random.choice(repo.get_pipelines())

#     mds.get_components_status(random_pipeline)


# def test_get_artifacts_by_component(repo):
#     """

#     Args:
#       repo:

#     Returns:

#     """
#     mds = repo.get_default_metadata_store()

#     random_pipeline = repo.get_pipelines_by_type(
#         TrainingPipeline.PIPELINE_TYPE
#     )[0]

#     # pick a component guaranteed to be present
#     component_name = ""  # GDPComponent.SplitGen.name

#     artifacts = mds.get_artifacts_by_component(random_pipeline, component_name)

#     assert len(artifacts) >= 1


# def test_get_pipeline_context(repo):
#     """

#     Args:
#       repo:

#     Returns:

#     """
#     mds = repo.get_default_metadata_store()

#     random_pipeline = random.choice(repo.get_pipelines())

#     mds.get_pipeline_context(random_pipeline)
