blob: e9f3f679ad8021b3b971a1bb9e4302fbd944f076 [file] [log] [blame]
#
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# 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
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"""Test for the BigQuery tornadoes example."""
# pytype: skip-file
import logging
import unittest
import apache_beam as beam
from apache_beam.examples.cookbook import bigquery_tornadoes
from apache_beam.testing.test_pipeline import TestPipeline
from apache_beam.testing.util import assert_that
from apache_beam.testing.util import equal_to
class BigQueryTornadoesTest(unittest.TestCase):
def test_basics(self):
with TestPipeline() as p:
rows = (
p | 'create' >> beam.Create([{
'month': 1, 'day': 1, 'tornado': False
}, {
'month': 1, 'day': 2, 'tornado': True
}, {
'month': 1, 'day': 3, 'tornado': True
}, {
'month': 2, 'day': 1, 'tornado': True
}]))
results = bigquery_tornadoes.count_tornadoes(rows)
assert_that(
results,
equal_to([{
'month': 1, 'tornado_count': 2
}, {
'month': 2, 'tornado_count': 1
}]))
if __name__ == '__main__':
logging.getLogger().setLevel(logging.INFO)
unittest.main()