From 2c99e4450b9326625aaa464a27b746af51da4301 Mon Sep 17 00:00:00 2001
From: Christophe Bedard <fixed-term.christophe.bourquebedard@de.bosch.com>
Date: Wed, 7 Aug 2019 14:26:01 +0200
Subject: [PATCH] Add test for DataModelUtil

---
 .../test_data_model_util.py                   | 75 +++++++++++++++++++
 1 file changed, 75 insertions(+)
 create mode 100644 tracetools_analysis/test/tracetools_analysis/test_data_model_util.py

diff --git a/tracetools_analysis/test/tracetools_analysis/test_data_model_util.py b/tracetools_analysis/test/tracetools_analysis/test_data_model_util.py
new file mode 100644
index 0000000..96e4348
--- /dev/null
+++ b/tracetools_analysis/test/tracetools_analysis/test_data_model_util.py
@@ -0,0 +1,75 @@
+# Copyright 2019 Robert Bosch GmbH
+#
+# 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.
+
+from datetime import datetime
+from datetime import timezone
+import unittest
+
+from pandas import DataFrame
+from pandas.util.testing import assert_frame_equal
+
+from tracetools_analysis.utils import DataModelUtil
+
+
+class TestDataModelUtil(unittest.TestCase):
+
+    def __init__(self, *args) -> None:
+        super().__init__(
+            *args,
+        )
+
+    def test_convert_time_columns(self) -> None:
+        input_df = DataFrame(
+            data=[
+                {
+                    'timestamp': 1565177400000*1000000,
+                    'random_thingy': 'abc',
+                    'some_duration': 3000000,
+                    'const_number': 123456,
+                },
+                {
+                    'timestamp': 946684800000*1000000,
+                    'random_thingy': 'def',
+                    'some_duration': 10000000,
+                    'const_number': 789101112,
+                },
+            ],
+        )
+        expected_df = DataFrame(
+            data=[
+                {
+                    'timestamp': datetime(2019, 8, 7, 11, 30, 0, tzinfo=timezone.utc),
+                    'random_thingy': 'abc',
+                    'some_duration': 3,
+                    'const_number': 123456,
+                },
+                {
+                    'timestamp': datetime(2000, 1, 1, 0, 0, 0, tzinfo=timezone.utc),
+                    'random_thingy': 'def',
+                    'some_duration': 10,
+                    'const_number': 789101112,
+                },
+            ],
+        )
+        result_df = DataModelUtil.convert_time_columns(
+            input_df,
+            ['some_duration'],
+            ['timestamp'],
+            inplace=True,
+        )
+        assert_frame_equal(result_df, expected_df, check_dtype=False)
+
+
+if __name__ == '__main__':
+    unittest.main()