def test_impact_summary(self):
"""Test we can aggregate the impact to the aggregate hazard."""
impact = load_test_vector_layer(
'gisv4',
'impacts',
'building-points-classified-vector.geojson')
aggregate_hazard = load_test_vector_layer(
'gisv4',
'intermediate',
'aggregate_classified_hazard.geojson',
clone=True)
aggregate_hazard.keywords['hazard_keywords'] = {
'hazard': 'generic',
'classification': 'generic_hazard_classes'
}
impact.keywords['classification'] = {
'classification': 'generic_structure_classes'
}
impact.keywords['exposure_keywords'] = {
'exposure': 'structure'
}
number_of_fields = aggregate_hazard.fields().count()
layer = aggregate_hazard_summary(impact, aggregate_hazard)
self.assertIn(total_field['key'], layer.keywords['inasafe_fields'])
check_inasafe_fields(layer)
fields = impact.keywords['inasafe_fields']
exposure_class = fields[exposure_class_field['key']]
exposure_class_index = impact.fields().lookupField(exposure_class)
unique_exposure = impact.uniqueValues(exposure_class_index)
# One field per exposure type
# Number of previous fields in the layer
# 3 : 1 fields for absolute values, 2 fields for affected and total.
self.assertEqual(
layer.fields().count(),
len(unique_exposure) + number_of_fields + 3
)
def test_impact_summary(self):
"""Test we can aggregate the impact to the aggregate hazard."""
impact = load_test_vector_layer(
'gisv4',
'impacts',
'building-points-classified-vector.geojson')
aggregate_hazard = load_test_vector_layer(
'gisv4',
'intermediate',
'aggregate_classified_hazard.geojson',
clone=True)
aggregate_hazard.keywords['hazard_keywords'] = {
'classification': 'generic_hazard_classes'
}
impact.keywords['classification'] = {
'classification': 'generic_structure_classes'
}
number_of_fields = aggregate_hazard.fields().count()
layer = aggregate_hazard_summary(impact, aggregate_hazard)
self.assertIn(total_field['key'], layer.keywords['inasafe_fields'])
check_inasafe_fields(layer)
fields = impact.keywords['inasafe_fields']
exposure_class = fields[exposure_class_field['key']]
exposure_class_index = impact.fieldNameIndex(exposure_class)
unique_exposure = impact.uniqueValues(exposure_class_index)
# One field per exposure type
# Number of previous fields in the layer
# 3 : 1 fields for absolute values, 2 fields for affected and total.
self.assertEqual(
layer.fields().count(),
len(unique_exposure) + number_of_fields + 3
)