#!/usr/bin/env python

# -*- coding: utf-8 -*-

#

# Licensed to the Apache Software Foundation (ASF) under one or more

# contributor license agreements. See the NOTICE file distributed with

# this work for additional information regarding copyright ownership.

# The ASF licenses this file to You 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.

#

"""Integration tests for Dataframe sources and sinks."""

# pytype: skip-file

import logging

import unittest

import pytest

import apache_beam.io.gcp.bigquery

from apache_beam.testing.test_pipeline import TestPipeline

from apache_beam.testing.util import assert_that

from apache_beam.testing.util import equal_to

_LOGGER = logging.getLogger(__name__)

try:

from google.api_core.exceptions import GoogleAPICallError

except ImportError:

GoogleAPICallError = None

@unittest.skipIf(

GoogleAPICallError is None, 'GCP dependencies are not installed')

class ReadUsingReadGbqTests(unittest.TestCase):

@pytest.mark.it_postcommit

def test_ReadGbq(self):

from apache_beam.dataframe import convert

with TestPipeline(is_integration_test=True) as p:

actual_df = p | apache_beam.dataframe.io.read_gbq(

table="apache-beam-testing:beam_bigquery_io_test."

"dfsqltable_3c7d6fd5_16e0460dfd0",

use_bqstorage_api=False)

assert_that(

convert.to_pcollection(actual_df),

equal_to([(3, 'customer1', 'test'), (1, 'customer1', 'test'),

(2, 'customer2', 'test'), (4, 'customer2', 'test')]))

@pytest.mark.it_postcommit

def test_ReadGbq_export_with_project(self):

from apache_beam.dataframe import convert

with TestPipeline(is_integration_test=True) as p:

actual_df = p | apache_beam.dataframe.io.read_gbq(

table="dfsqltable_3c7d6fd5_16e0460dfd0",

dataset="beam_bigquery_io_test",

project_id="apache-beam-testing",

use_bqstorage_api=False)

assert_that(

convert.to_pcollection(actual_df),

equal_to([(3, 'customer1', 'test'), (1, 'customer1', 'test'),

(2, 'customer2', 'test'), (4, 'customer2', 'test')]))

@pytest.mark.it_postcommit

def test_ReadGbq_direct_read(self):

from apache_beam.dataframe import convert

with TestPipeline(is_integration_test=True) as p:

actual_df = p | apache_beam.dataframe.io.\

read_gbq(

table=

"apache-beam-testing:beam_bigquery_io_test."

"dfsqltable_3c7d6fd5_16e0460dfd0",

use_bqstorage_api=True)

assert_that(

convert.to_pcollection(actual_df),

equal_to([(3, 'customer1', 'test'), (1, 'customer1', 'test'),

(2, 'customer2', 'test'), (4, 'customer2', 'test')]))

@pytest.mark.it_postcommit

def test_ReadGbq_direct_read_with_project(self):

from apache_beam.dataframe import convert

with TestPipeline(is_integration_test=True) as p:

actual_df = p | apache_beam.dataframe.io.read_gbq(

table="dfsqltable_3c7d6fd5_16e0460dfd0",

dataset="beam_bigquery_io_test",

project_id="apache-beam-testing",

use_bqstorage_api=True)

assert_that(

convert.to_pcollection(actual_df),

equal_to([(3, 'customer1', 'test'), (1, 'customer1', 'test'),

(2, 'customer2', 'test'), (4, 'customer2', 'test')]))

@pytest.mark.it_postcommit

def test_ReadGbq_with_computation(self):

from apache_beam.dataframe import convert

with TestPipeline(is_integration_test=True) as p:

beam_df = p | apache_beam.dataframe.io.read_gbq(

table="dfsqltable_3c7d6fd5_16e0460dfd0",

dataset="beam_bigquery_io_test",

project_id="apache-beam-testing")

actual_df = beam_df.groupby('id').count()

assert_that(

convert.to_pcollection(actual_df, include_indexes=True),

equal_to([(1, 1, 1), (2, 1, 1), (3, 1, 1), (4, 1, 1)]))

if __name__ == '__main__':

logging.getLogger().setLevel(logging.INFO)

unittest.main()