def test_parse_df_creator_invalid_data_labels(self):
data = [
{"datetime1": "2018-08-24T00:00:00Z", "value": randint(1, 1000)},
{"datetime2": "2018-08-24T00:15:00Z", "value": randint(1, 1000)},
{"datetime3": "2018-08-24T00:30:00Z", "value": randint(1, 1000)},
]
df, err = Parser.make_timeseries_df(data, MOCK_LOG)
self.assertEqual(err, 'invalid labels in data object')
self.assertIsNone(df)
def test_parse_df_creator_negative_values(self):
data = [
{"datetime": "2018-08-24T00:00:00Z", "value": -1},
{"datetime": "2018-08-24T00:15:00Z", "value": -5},
{"datetime": "2018-08-24T00:30:00Z", "value": -20},
]
df, err = Parser.make_timeseries_df(data, MOCK_LOG)
self.assertIn('negative values in data', err)
self.assertIsNone(df)
def test_parse_df_creator_valid_data(self):
data = [
{"datetime": "2018-08-24T00:00:00Z", "value": randint(1, 1000)},
{"datetime": "2018-08-24T00:15:00Z", "value": randint(1, 1000)},
{"datetime": "2018-08-24T00:30:00Z", "value": randint(1, 1000)},
]
df, err = Parser.make_timeseries_df(data, MOCK_LOG)
self.assertEqual(err, '')
self.assertIsNotNone(df)
