def test_validation(self):
"""NDR test argument validation."""
from natcap.invest.ndr import ndr
# use predefined directory so test can clean up files during teardown
args = NDRTests.generate_base_args(self.workspace_dir)
# should not raise an exception
ndr.validate(args)
with self.assertRaises(KeyError) as context:
del args['workspace_dir']
ndr.validate(args)
self.assertTrue(
'The following keys were expected' in str(context.exception))
args = NDRTests.generate_base_args(self.workspace_dir)
args['workspace_dir'] = ''
validation_error_list = ndr.validate(args)
# we should have one warning that is an empty value
self.assertEqual(len(validation_error_list), 1)
# here the wrong GDAL type happens (vector instead of raster)
args = NDRTests.generate_base_args(self.workspace_dir)
args['lulc_path'] = args['watersheds_path']
validation_error_list = ndr.validate(args)
# we should have one warning that is an empty value
self.assertEqual(len(validation_error_list), 1)
# here the wrong GDAL type happens (raster instead of vector)
args = NDRTests.generate_base_args(self.workspace_dir)
args['watersheds_path'] = args['lulc_path']
validation_error_list = ndr.validate(args)
# we should have one warning that is an empty value
self.assertEqual(len(validation_error_list), 1)
# cover that there's no p and n calculation
args = NDRTests.generate_base_args(self.workspace_dir)
args['calc_p'] = False
args['calc_n'] = False
validation_error_list = ndr.validate(args)
# we should have one warning that is an empty value
self.assertEqual(len(validation_error_list), 1)
# cover that a file is missing
args = NDRTests.generate_base_args(self.workspace_dir)
args['lulc_path'] = 'this/path/does/not/exist.tif'
validation_error_list = ndr.validate(args)
# we should have one warning that is an empty value
self.assertEqual(len(validation_error_list), 1)
def test_validation(self):
"""NDR test argument validation."""
from natcap.invest.ndr import ndr
from natcap.invest import validation
# use predefined directory so test can clean up files during teardown
args = NDRTests.generate_base_args(self.workspace_dir)
# should not raise an exception
ndr.validate(args)
del args['workspace_dir']
validation_errors = ndr.validate(args)
self.assertEquals(len(validation_errors), 1)
args = NDRTests.generate_base_args(self.workspace_dir)
args['workspace_dir'] = ''
validation_error_list = ndr.validate(args)
# we should have one warning that is an empty value
self.assertEqual(len(validation_error_list), 1)
# here the wrong GDAL type happens (vector instead of raster)
args = NDRTests.generate_base_args(self.workspace_dir)
args['lulc_path'] = args['watersheds_path']
validation_error_list = ndr.validate(args)
# we should have one warning that is an empty value
self.assertEqual(len(validation_error_list), 1)
# here the wrong GDAL type happens (raster instead of vector)
args = NDRTests.generate_base_args(self.workspace_dir)
args['watersheds_path'] = args['lulc_path']
validation_error_list = ndr.validate(args)
# we should have one warning that is an empty value
self.assertEqual(len(validation_error_list), 1)
# cover that there's no p and n calculation
args = NDRTests.generate_base_args(self.workspace_dir)
args['calc_p'] = False
args['calc_n'] = False
validation_error_list = ndr.validate(args)
# we should have one warning that is an empty value
self.assertEqual(len(validation_error_list), 1)
self.assertTrue('calc_n' in validation_error_list[0][0]
and 'calc_p' in validation_error_list[0][0])
# cover that a file is missing
args = NDRTests.generate_base_args(self.workspace_dir)
args['lulc_path'] = 'this/path/does/not/exist.tif'
validation_error_list = ndr.validate(args)
# we should have one warning that is an empty value
self.assertEqual(len(validation_error_list), 1)
# cover that some args are conditionally required when
# these args are present and true
args = {'calc_p': True, 'calc_n': True}
validation_error_list = ndr.validate(args)
invalid_args = validation.get_invalid_keys(validation_error_list)
expected_missing_args = [
'biophysical_table_path',
'threshold_flow_accumulation',
'dem_path',
'subsurface_critical_length_n',
'subsurface_critical_length_p',
'runoff_proxy_path',
'lulc_path',
'workspace_dir',
'k_param',
'watersheds_path',
'subsurface_eff_p',
'subsurface_eff_n',
]
self.assertEqual(set(invalid_args), set(expected_missing_args))