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34 lines
1.0 KiB
34 lines
1.0 KiB
6 years ago
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import unittest
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import pandas as pd
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from analytic_unit_manager import prepare_data
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import models
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class TestDataset(unittest.TestCase):
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def test_models_with_corrupted_dataframe(self):
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data = [[1523889000000 + i, float('nan')] for i in range(10)]
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dataframe = pd.DataFrame(data, columns=['timestamp', 'value'])
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segments = []
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model_instances = [
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models.JumpModel(),
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models.DropModel(),
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models.GeneralModel(),
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models.PeakModel(),
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models.TroughModel()
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]
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try:
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for model in model_instances:
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model_name = model.__class__.__name__
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model.fit(dataframe, segments, dict())
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except ValueError:
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self.fail('Model {} raised unexpectedly'.format(model_name))
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def test_data_preparation(self):
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data = [[1523889000000 + i, float('nan')] for i in range(10)]
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self.assertTrue(prepare_data(data).empty) # TODO: raise exception
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if __name__ == '__main__':
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unittest.main()
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