def test_get_hazard(self):
client = Client()
hazard = client.get_hazard(hazard_type='river_flood',
properties={
'country_name': 'Austria',
'year_range': '2010_2030',
'climate_scenario': 'rcp26'
},
dump_dir=DATA_DIR)
self.assertEqual(np.shape(hazard.intensity), (480, 5784))
self.assertEqual(np.unique(hazard.centroids.region_id), 40)
self.assertEqual(np.unique(hazard.date).size, 20)
self.assertEqual(hazard.tag.haz_type, 'RF')
def test_get_hazard_fails(self):
client = Client()
with self.assertRaises(ValueError) as cm:
client.get_hazard(hazard_type='litpop',
properties={
'country_name': 'Austria',
'year_range': '2010_2030',
'climate_scenario': 'rcp26'
},
dump_dir=DATA_DIR)
self.assertIn(
'Valid hazard types are a subset of CLIMADA hazard types. Currently',
str(cm.exception))
with self.assertRaises(Client.AmbiguousResult) as cm:
client.get_hazard(hazard_type='river_flood',
properties={
'country_name': ['Switzerland', 'Austria'],
'year_range': '2010_2030',
'climate_scenario': ['rcp26', 'rcp85']
},
dump_dir=DATA_DIR)
self.assertIn('there are several datasets meeting the requirements:',
str(cm.exception))
