# Copyright 2019 Google LLC
#
# 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
#
#     https://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.


def get_dataset(client, dataset_id):

    # [START bigquery_get_dataset]
    # TODO(developer): Import the client library.
    # from google.cloud import bigquery

    # TODO(developer): Construct a BigQuery client object.
    # client = bigquery.Client()

    # TODO(developer): Set dataset_id to the ID of the dataset to fetch.
    # dataset_id = 'your-project.your_dataset'

    dataset = client.get_dataset(dataset_id)  # Make an API request.

    full_dataset_id = "{}.{}".format(dataset.project, dataset.dataset_id)
    friendly_name = dataset.friendly_name
    print(
        "Got dataset '{}' with friendly_name '{}'.".format(
            full_dataset_id, friendly_name
        )
    )

    # View dataset properties
    print("Description: {}".format(dataset.description))
    print("Labels:")
    labels = dataset.labels
    if labels:
        for label, value in labels.items():
            print("\t{}: {}".format(label, value))
    else:
        print("\tDataset has no labels defined.")

    # View tables in dataset
    print("Tables:")
    tables = list(client.list_tables(dataset))  # API request(s)
    if tables:
        for table in tables:
            print("\t{}".format(table.table_id))
    else:
        print("\tThis dataset does not contain any tables.")
    # [END bigquery_get_dataset]
