def test_get_exposures_fails(self):
client = Client()
with self.assertRaises(ValueError) as cm:
client.get_exposures(exposures_type='river_flood',
properties={
'country_iso3alpha': 'AUT',
'fin_mode': 'pop',
'exponents': '(0,1)'
},
dump_dir=DATA_DIR)
self.assertIn(
'Valid exposures types are a subset of CLIMADA exposures types. Currently',
str(cm.exception))
with self.assertRaises(Client.AmbiguousResult) as cm:
client.get_exposures(exposures_type='litpop',
properties={'country_iso3alpha': 'AUT'},
dump_dir=DATA_DIR)
self.assertIn('there are several datasets meeting the requirements',
str(cm.exception))
def test_get_exposures(self):
client = Client()
exposures = client.get_exposures(exposures_type='litpop',
properties={
'country_iso3alpha': 'AUT',
'fin_mode': 'pop',
'exponents': '(0,1)'
},
dump_dir=DATA_DIR)
self.assertEqual(len(exposures.gdf), 5782)
self.assertEqual(np.unique(exposures.gdf.region_id), 40)
self.assertTrue('[0, 1]' in exposures.tag.description)
self.assertTrue('pop' in exposures.tag.description)
exposures
