def test_alternative_region(self, tmp_path):
# make the dataset
(tmp_path / "raw/gleam/monthly").mkdir(parents=True)
data_path = tmp_path / "raw/gleam/monthly/testy_test.nc"
dataset = self._make_gleam_dataset(size=(100, 100))
dataset.to_netcdf(path=data_path)
ethiopia = get_ethiopia()
# regrid the datasets
regrid_dataset, _, _ = _make_dataset(
size=(20, 20),
latmin=ethiopia.latmin,
latmax=ethiopia.latmax,
lonmin=ethiopia.lonmin,
lonmax=ethiopia.lonmax,
)
regrid_path = tmp_path / "regridder.nc"
regrid_dataset.to_netcdf(regrid_path)
# build the Preprocessor object and subset with a different subset_str
processor = GLEAMPreprocessor(tmp_path)
processor.preprocess(subset_str="ethiopia", regrid=regrid_path)
expected_out_path = tmp_path / "interim/gleam_preprocessed/data_ethiopia.nc"
assert (
expected_out_path.exists()
), f"Expected processed file to be saved to {expected_out_path}"
def test_preprocess(self, tmp_path):
(tmp_path / "raw/gleam/monthly").mkdir(parents=True)
data_path = tmp_path / "raw/gleam/monthly/testy_test.nc"
dataset = self._make_gleam_dataset(size=(100, 100))
dataset.to_netcdf(path=data_path)
kenya = get_kenya()
regrid_dataset, _, _ = _make_dataset(
size=(20, 20),
latmin=kenya.latmin,
latmax=kenya.latmax,
lonmin=kenya.lonmin,
lonmax=kenya.lonmax,
)
regrid_path = tmp_path / "regridder.nc"
regrid_dataset.to_netcdf(regrid_path)
processor = GLEAMPreprocessor(tmp_path)
processor.preprocess(subset_str="kenya", regrid=regrid_path)
expected_out_path = tmp_path / "interim/gleam_preprocessed/data_kenya.nc"
assert (
expected_out_path.exists()
), f"Expected processed file to be saved to {expected_out_path}"
# check the subsetting happened correctly
out_data = xr.open_dataset(expected_out_path)
expected_dims = ["lat", "lon", "time"]
assert len(list(out_data.dims)) == len(expected_dims)
for dim in expected_dims:
assert dim in list(
out_data.dims
), f"Expected {dim} to be in the processed dataset dims"
lons = out_data.lon.values
assert (lons.min() >= kenya.lonmin) and (
lons.max() <= kenya.lonmax
), "Longitudes not correctly subset"
lats = out_data.lat.values
assert (lats.min() >= kenya.latmin) and (
lats.max() <= kenya.latmax
), "Latitudes not correctly subset"
assert set(out_data.data_vars) == {"E"}, f"Got unexpected variables!"
assert (
not processor.interim.exists()
), f"Interim gleam folder should have been deleted"
def process_gleam():
# if the working directory is alread ml_drought don't need ../data
if Path('.').absolute().as_posix().split('/')[-1] == 'ml_drought':
data_path = Path('data')
else:
data_path = Path('../data')
regrid_path = data_path / 'interim/VCI_preprocessed/data_kenya.nc'
assert regrid_path.exists(), f'{regrid_path} not available'
processor = GLEAMPreprocessor(data_path)
processor.preprocess(subset_str='kenya',
regrid=regrid_path,
resample_time='M',
upsampling=False)
def test_preprocess(self, tmp_path):
(tmp_path / 'raw/gleam/monthly').mkdir(parents=True)
data_path = tmp_path / 'raw/gleam/monthly/testy_test.nc'
dataset = self._make_gleam_dataset(size=(100, 100))
dataset.to_netcdf(path=data_path)
kenya = get_kenya()
regrid_dataset, _, _ = _make_dataset(size=(20, 20),
latmin=kenya.latmin,
latmax=kenya.latmax,
lonmin=kenya.lonmin,
lonmax=kenya.lonmax)
regrid_path = tmp_path / 'regridder.nc'
regrid_dataset.to_netcdf(regrid_path)
processor = GLEAMPreprocessor(tmp_path)
processor.preprocess(subset_str='kenya', regrid=regrid_path)
expected_out_path = tmp_path / 'interim/gleam_preprocessed/data_kenya.nc'
assert expected_out_path.exists(), \
f'Expected processed file to be saved to {expected_out_path}'
# check the subsetting happened correctly
out_data = xr.open_dataset(expected_out_path)
expected_dims = ['lat', 'lon', 'time']
assert len(list(out_data.dims)) == len(expected_dims)
for dim in expected_dims:
assert dim in list(out_data.dims), \
f'Expected {dim} to be in the processed dataset dims'
lons = out_data.lon.values
assert (lons.min() >= kenya.lonmin) and (lons.max() <= kenya.lonmax), \
'Longitudes not correctly subset'
lats = out_data.lat.values
assert (lats.min() >= kenya.latmin) and (lats.max() <= kenya.latmax), \
'Latitudes not correctly subset'
assert set(out_data.data_vars) == {'E'}, f'Got unexpected variables!'
assert not processor.interim.exists(), \
f'Interim gleam folder should have been deleted'