def test_read_cams_metadata():
_, metadata = sodapro.read_cams(testfile_mcclear_monthly, integrated=False)
assert metadata['Time reference'] == 'Universal time (UT)'
assert metadata['noValue'] == 'nan'
assert metadata['latitude'] == 55.7906
assert metadata['longitude'] == 12.5251
assert metadata['altitude'] == 39.0
assert metadata['radiation_unit'] == 'W/m^2'
assert metadata['time_step'] == '1M'
def test_read_cams_integrated_unmapped_label():
# Default label is 'left' for 1 minute time resolution, hence 1 minute is
# added for label='right'
expected = generate_expected_dataframe(values_radiation_verbose_integrated,
columns_radiation_verbose_unmapped,
index_verbose +
pd.Timedelta(minutes=1),
dtypes=dtypes_radiation_verbose)
out, metadata = sodapro.read_cams(testfile_radiation_verbose,
integrated=True,
label='right',
map_variables=False)
assert_frame_equal(out, expected, check_less_precise=True)
def test_read_cams(testfile, index, columns, values, dtypes):
expected = generate_expected_dataframe(values, columns, index, dtypes)
out, metadata = sodapro.read_cams(testfile,
integrated=False,
map_variables=True)
assert_frame_equal(out, expected, check_less_precise=True)