def test_read_csv_(self) -> None:
raw_var, fix = log.read_csv_(self.filepath)
raw_expected = pd.DataFrame({
'TimeNanos': [34554000000],
'FullBiasNanos': [-1265446151445559028],
'Svid': [2],
'ConstellationType': [1],
'State': [16431],
'Cn0DbHz': [22.340620040893555]
}).convert_dtypes()
fix_expected = pd.DataFrame({
'Latitude': [51.524707],
'Longitude': [-0.134140],
'Altitude': [114.858938],
'(UTC)TimeInMs': [1581410967999]
}).convert_dtypes()
pt.assert_frame_equal(
raw_var.loc[0:0, [
'TimeNanos', 'FullBiasNanos', 'Svid', 'ConstellationType',
'State', 'Cn0DbHz'
]], raw_expected)
pt.assert_frame_equal(
fix.loc[0:0,
['Latitude', 'Longitude', 'Altitude', '(UTC)TimeInMs']],
fix_expected)
def test_datatype(self) -> None:
raw_var, fix = log.read_csv_(self.filepath)
test_columns = [
"TimeNanos", "FullBiasNanos", 'ReceivedSvTimeNanos',
'ConstellationType', 'Svid', 'State'
]
self.assertTrue(all(raw_var[c].dtype == 'Int64' for c in test_columns))
self.assertTrue(fix['(UTC)TimeInMs'].dtype == 'Int64')
def setUp(self):
self.filedir = "./tests/data/"
self.filepath = self.filedir + "log_20200211.txt"
raw_var, fix = log.read_csv_(self.filepath)
self.gnss_obs = log.process_raw(raw_var[0:50])
self.gnss_fix = fix[0:1]
def test_joining(self) -> None:
raw_var, gnss_fix = log.read_csv_(self.filepath)
gnss_obs = log.process_raw(raw_var)
self.assertWarnsRegex(
UserWarning, '37 observations discarded without matching fix.',
log.join_receiver_position, gnss_obs, gnss_fix)
def test_processing(self) -> None:
raw_var, _ = log.read_csv_(self.filepath)
log.process_raw(raw_var)