Add test for DataModelUtil
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# Copyright 2019 Robert Bosch GmbH
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from datetime import datetime
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from datetime import timezone
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import unittest
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from pandas import DataFrame
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from pandas.util.testing import assert_frame_equal
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from tracetools_analysis.utils import DataModelUtil
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class TestDataModelUtil(unittest.TestCase):
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def __init__(self, *args) -> None:
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super().__init__(
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*args,
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)
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def test_convert_time_columns(self) -> None:
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input_df = DataFrame(
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data=[
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{
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'timestamp': 1565177400000*1000000,
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'random_thingy': 'abc',
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'some_duration': 3000000,
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'const_number': 123456,
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},
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{
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'timestamp': 946684800000*1000000,
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'random_thingy': 'def',
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'some_duration': 10000000,
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'const_number': 789101112,
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},
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],
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)
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expected_df = DataFrame(
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data=[
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{
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'timestamp': datetime(2019, 8, 7, 11, 30, 0, tzinfo=timezone.utc),
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'random_thingy': 'abc',
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'some_duration': 3,
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'const_number': 123456,
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},
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{
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'timestamp': datetime(2000, 1, 1, 0, 0, 0, tzinfo=timezone.utc),
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'random_thingy': 'def',
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'some_duration': 10,
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'const_number': 789101112,
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},
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],
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)
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result_df = DataModelUtil.convert_time_columns(
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input_df,
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['some_duration'],
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['timestamp'],
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inplace=True,
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)
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assert_frame_equal(result_df, expected_df, check_dtype=False)
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if __name__ == '__main__':
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unittest.main()
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