diff options
Diffstat (limited to 'src/argaze.test/DataStructures.py')
| -rw-r--r-- | src/argaze.test/DataStructures.py | 35 |
1 files changed, 31 insertions, 4 deletions
diff --git a/src/argaze.test/DataStructures.py b/src/argaze.test/DataStructures.py index 5f0a4ac..c1b78d5 100644 --- a/src/argaze.test/DataStructures.py +++ b/src/argaze.test/DataStructures.py @@ -1,6 +1,7 @@ #!/usr/bin/env python import unittest +from dataclasses import dataclass, field from argaze import DataStructures @@ -27,6 +28,12 @@ def random_data_buffer(size, data_keys): return ts_buffer +@dataclass() +class BasicDataClass(): + """Define a basic dataclass for testing purpose.""" + + value: tuple + class TestTimeStampedBufferClass(unittest.TestCase): """Test TimeStampedBuffer class.""" @@ -56,12 +63,17 @@ class TestTimeStampedBufferClass(unittest.TestCase): DataStructures.TimeStampedBuffer({"first": ""}) - def test_str(self): + def test___repr__(self): """Test TimeStampedBuffer string representation.""" - self.assertEqual(str(DataStructures.TimeStampedBuffer()), "{}") - self.assertEqual(str(DataStructures.TimeStampedBuffer({0: ""})), "{\"0\": \"\"}") - self.assertEqual(str(DataStructures.TimeStampedBuffer({0.1: ""})), "{\"0.1\": \"\"}") + self.assertEqual(repr(DataStructures.TimeStampedBuffer()), "{}") + self.assertEqual(repr(DataStructures.TimeStampedBuffer({0: ""})), "{\"0\": \"\"}") + self.assertEqual(repr(DataStructures.TimeStampedBuffer({0.1: ""})), "{\"0.1\": \"\"}") + + data = BasicDataClass((123, 456)) + ts_buffer = DataStructures.TimeStampedBuffer({0: data}) + + self.assertEqual(repr(ts_buffer), "{\"0\": {\"value\": [123, 456]}}") def test_append(self): """Test TimeStampedBuffer append method.""" @@ -170,6 +182,11 @@ class TestTimeStampedBufferClass(unittest.TestCase): self.assertEqual(ts_buffer_dataframe.columns[1], "data_B") self.assertEqual(ts_buffer_dataframe.columns[2], "data_C") + self.assertEqual(ts_buffer_dataframe.index.dtype, 'float64') + self.assertEqual(ts_buffer_dataframe["data_A"].dtype, 'object') + self.assertEqual(ts_buffer_dataframe["data_B"].dtype, 'object') + self.assertEqual(ts_buffer_dataframe["data_C"].dtype, 'object') + # Check data exclusion option ts_buffer_dataframe = ts_buffer.as_dataframe(exclude=["data_B"]) @@ -192,6 +209,16 @@ class TestTimeStampedBufferClass(unittest.TestCase): self.assertEqual(ts_buffer_dataframe.columns[2], "data_B1") self.assertEqual(ts_buffer_dataframe.columns[3], "data_C") + # Check dataframe conversion with dataclass + data = BasicDataClass((123, 456)) + ts_buffer_dataframe = DataStructures.TimeStampedBuffer({0: data}).as_dataframe() + + self.assertEqual(ts_buffer_dataframe.index.name, "timestamp") + self.assertEqual(ts_buffer_dataframe.index.size, 1) + + self.assertEqual(ts_buffer_dataframe.columns.size, 1) + self.assertEqual(ts_buffer_dataframe.columns[0], "value") + if __name__ == '__main__': unittest.main()
\ No newline at end of file |