def test_dataset_with_adef_and_wrongs_dims(self):
"""Test the correct execution of the get_dataset function with dims that don't match expected AreaDefinition."""
self.fh = FciL2NCSegmentFileHandler(filename=self.seg_test_file,
filename_info={},
filetype_info={},
with_area_definition=True)
with pytest.raises(NotImplementedError):
self.fh.get_dataset(
make_dataid(name='test_wrong_dims', resolution=6000), {
'name': 'test_wrong_dims',
'file_key': 'test_values',
'fill_value': -999
})
def test_dataset_slicing_catid(self):
"""Test the correct execution of the _slice_dataset function with 'category_id' set."""
self.fh = FciL2NCSegmentFileHandler(filename=self.seg_test_file,
filename_info={},
filetype_info={})
dataset = self.fh.get_dataset(
make_dataid(name='test_values', resolution=32000), {
'name': 'test_values',
'file_key': 'test_values',
'fill_value': -999,
'category_id': 5
})
expected_dataset = self._get_unique_array(range(8), 5)
np.testing.assert_allclose(dataset.values, expected_dataset)
def test_dataset_with_invalid_filekey(self):
"""Test the correct execution of the get_dataset function with an invalid file_key."""
self.fh = FciL2NCSegmentFileHandler(filename=self.seg_test_file,
filename_info={},
filetype_info={})
# Checks the correct execution of the get_dataset function with an invalid file_key
invalid_dataset = self.fh.get_dataset(
make_dataid(name='test_invalid', resolution=32000), {
'name': 'test_invalid',
'file_key': 'test_invalid',
'fill_value': -999,
})
# Checks that the function returns None
self.assertEqual(invalid_dataset, None)
def setUp(self):
"""Set up the test by creating a test file and opening it with the reader."""
# Easiest way to test the reader is to create a test netCDF file on the fly
with Dataset(TEST_ERROR_FILE, 'w') as nc_err:
# Create dimensions
nc_err.createDimension('number_of_FoR_cols', 10)
nc_err.createDimension('number_of_FoR_rows', 100)
nc_err.createDimension('number_of_channels', 8)
nc_err.createDimension('number_of_categories', 6)
# add erroneous global attributes
nc_err.data_source = 'test_fci_data_source' # Error in key name
nc_err.platform_err = 'test_fci_platform' # Error in key name
nc_err.time_coverage_start = '2017092017304000' # Error in time format
nc_err.time_coverage_end_err = '20170920174117' # Error in key name
# Add datasets
x = nc_err.createVariable('x', np.float32, dimensions=('number_of_FoR_cols',))
x.standard_name = 'projection_x_coordinate'
x[:] = np.arange(10)
y = nc_err.createVariable('y', np.float32, dimensions=('number_of_FoR_rows',))
x.standard_name = 'projection_y_coordinate'
y[:] = np.arange(100)
chans = nc_err.createVariable('channels', np.float32, dimensions=('number_of_channels',))
chans.standard_name = 'fci_channels'
chans[:] = np.arange(8)
cats = nc_err.createVariable('categories', np.float32, dimensions=('number_of_categories',))
cats.standard_name = 'product_categories'
cats[:] = np.arange(6)
test_dataset = nc_err.createVariable('test_values', np.float32,
dimensions=('number_of_FoR_rows', 'number_of_FoR_cols',
'number_of_channels', 'number_of_categories'))
test_dataset[:] = np.ones((100, 10, 8, 6))
test_dataset.test_attr = 'attr'
test_dataset.units = 'test_units'
self.error_reader = FciL2NCSegmentFileHandler(
filename=TEST_ERROR_FILE,
filename_info={
'creation_time': datetime.datetime(year=2017, month=9, day=20,
hour=12, minute=30, second=30),
},
filetype_info={}
)
def test_dataset_slicing_irid(self):
"""Test the correct execution of the _slice_dataset function with 'ir_channel_id' set."""
self.fh = FciL2NCSegmentFileHandler(filename=self.seg_test_file,
filename_info={},
filetype_info={})
self.fh.nc = self.fh.nc.rename_dims(
{'number_of_channels': 'number_of_ir_channels'})
dataset = self.fh.get_dataset(
make_dataid(name='test_values', resolution=32000), {
'name': 'test_values',
'file_key': 'test_values',
'fill_value': -999,
'ir_channel_id': 4
})
expected_dataset = self._get_unique_array(4, range(6))
np.testing.assert_allclose(dataset.values, expected_dataset)
def test_dataset_with_scalar(self):
"""Test the execution of the get_dataset function for scalar values."""
self.fh = FciL2NCSegmentFileHandler(filename=self.seg_test_file,
filename_info={},
filetype_info={})
# Checks returned scalar value
dataset = self.fh.get_dataset(
make_dataid(name='test_scalar'), {
'name': 'product_quality',
'file_key': 'product_quality',
'file_type': 'test_file_type'
})
self.assertEqual(dataset.values, 99.)
# Checks that no AreaDefintion is implemented for scalar values
with pytest.raises(NotImplementedError):
self.fh.get_area_def(None)
def test_all_basic(self):
"""Test all basic functionalities."""
self.fh = FciL2NCSegmentFileHandler(filename=self.seg_test_file,
filename_info={},
filetype_info={})
assert self.fh.spacecraft_name == 'test_fci_platform'
assert self.fh.sensor_name == 'test_fci_data_source'
assert self.fh.ssp_lon == 0.0
global_attributes = self.fh._get_global_attributes()
expected_global_attributes = {
'filename': self.seg_test_file,
'spacecraft_name': 'test_fci_platform',
'ssp_lon': 0.0,
'sensor': 'test_fci_data_source',
'platform_name': 'test_fci_platform'
}
self.assertEqual(global_attributes, expected_global_attributes)
def test_dataset(self):
"""Test the correct execution of the get_dataset function with valid file_key."""
self.fh = FciL2NCSegmentFileHandler(filename=self.seg_test_file,
filename_info={},
filetype_info={})
# Checks the correct execution of the get_dataset function with a valid file_key
dataset = self.fh.get_dataset(
make_dataid(name='test_values', resolution=32000), {
'name': 'test_values',
'file_key': 'test_values',
'fill_value': -999,
})
expected_dataset = self._get_unique_array(range(8), range(6))
np.testing.assert_allclose(dataset.values, expected_dataset)
self.assertEqual(dataset.attrs['test_attr'], 'attr')
self.assertEqual(dataset.attrs['units'], 'test_units')
self.assertEqual(dataset.attrs['fill_value'], -999)
# Checks that no AreaDefintion is implemented
with pytest.raises(NotImplementedError):
self.fh.get_area_def(None)
def test_dataset_with_adef(self):
"""Test the correct execution of the get_dataset function with `with_area_definition=True`."""
self.fh = FciL2NCSegmentFileHandler(filename=self.seg_test_file,
filename_info={},
filetype_info={},
with_area_definition=True)
# Checks the correct execution of the get_dataset function with a valid file_key
dataset = self.fh.get_dataset(
make_dataid(name='test_values', resolution=32000), {
'name': 'test_values',
'file_key': 'test_values',
'fill_value': -999,
'coordinates': ('test_lon', 'test_lat'),
})
expected_dataset = self._get_unique_array(range(8), range(6))
np.testing.assert_allclose(dataset.values, expected_dataset)
self.assertEqual(dataset.attrs['test_attr'], 'attr')
self.assertEqual(dataset.attrs['units'], 'test_units')
self.assertEqual(dataset.attrs['fill_value'], -999)
# Checks returned AreaDefinition against reference
adef = self.fh.get_area_def(None)
self.assertEqual(adef, SEG_AREA_DEF)
