def test_exposure_summary_table(self):
"""Test we can produce the breakdown for the exposure type."""
aggregate_hazard = load_test_vector_layer(
'gisv4', 'intermediate',
'aggregate_classified_hazard_summary.geojson')
aggregate_hazard.keywords['hazard_keywords'] = {
'classification': 'generic_hazard_classes'
}
# I need the number of unique exposure
unique_exposure = read_dynamic_inasafe_field(
aggregate_hazard.keywords['inasafe_fields'], exposure_count_field)
# I need the number of unique hazard
fields = aggregate_hazard.keywords['inasafe_fields']
hazard_class = fields[hazard_class_field['key']]
hazard_class_index = aggregate_hazard.fieldNameIndex(hazard_class)
unique_hazard = aggregate_hazard.uniqueValues(hazard_class_index)
layer = exposure_summary_table(aggregate_hazard, None)
check_inasafe_fields(layer)
self.assertEqual(len(unique_exposure), layer.featureCount())
# We should have
# one column per hazard
# one for the exposure
# one for total affected
# one for total not affected
# one for total not exposed
# one for total
self.assertEqual(layer.fields().count(), len(unique_hazard) + 5)
def test_exposure_summary_table_productivity(self):
"""Test we can produce the breakdown for the exposure type."""
aggregate_hazard = load_test_vector_layer(
'gisv4',
'intermediate',
'summaries',
'land_cover_aggregate_hazard_impacted.geojson')
aggregate_hazard.keywords['hazard_keywords'] = {
'hazard': 'generic',
'classification': 'generic_hazard_classes'
}
aggregate_hazard.keywords['exposure_keywords'] = {
'exposure': 'land_cover'
}
exposure_summary = load_test_vector_layer(
'gisv4',
'intermediate',
'summaries',
'land_cover_exposure_summary.geojson'
)
# I need the number of unique exposure
unique_exposure = read_dynamic_inasafe_field(
aggregate_hazard.keywords['inasafe_fields'],
exposure_count_field)
# I need the number of unique hazard
fields = aggregate_hazard.keywords['inasafe_fields']
hazard_class = fields[hazard_class_field['key']]
hazard_class_index = aggregate_hazard.fields().lookupField(hazard_class)
unique_hazard = aggregate_hazard.uniqueValues(hazard_class_index)
layer = exposure_summary_table(aggregate_hazard, exposure_summary)
check_inasafe_fields(layer)
self.assertEqual(len(unique_exposure), layer.featureCount())
# We should have
# one column per hazard
# 1. one for the exposure
# 2. one for total affected
# 3. one for total not affected
# 4. one for total not exposed
# 5. one for total
# 6. one for affected productivity
# 7. one for affected production cost
# 8. one for affected production value
self.assertEqual(layer.fields().count(), len(unique_hazard) + 8)
def test_exposure_summary_table_productivity(self):
"""Test we can produce the breakdown for the exposure type."""
aggregate_hazard = load_test_vector_layer(
'gisv4',
'intermediate',
'summaries',
'land_cover_aggregate_hazard_impacted.geojson')
aggregate_hazard.keywords['hazard_keywords'] = {
'classification': 'generic_hazard_classes'
}
exposure_summary = load_test_vector_layer(
'gisv4',
'intermediate',
'summaries',
'land_cover_exposure_summary.geojson'
)
# I need the number of unique exposure
unique_exposure = read_dynamic_inasafe_field(
aggregate_hazard.keywords['inasafe_fields'],
exposure_count_field)
# I need the number of unique hazard
fields = aggregate_hazard.keywords['inasafe_fields']
hazard_class = fields[hazard_class_field['key']]
hazard_class_index = aggregate_hazard.fieldNameIndex(hazard_class)
unique_hazard = aggregate_hazard.uniqueValues(hazard_class_index)
layer = exposure_summary_table(aggregate_hazard, exposure_summary)
check_inasafe_fields(layer)
self.assertEqual(len(unique_exposure), layer.featureCount())
# We should have
# one column per hazard
# one for the exposure
# one for total affected
# one for total not affected
# one for total not exposed
# one for total
# one for affected productivity
# one for affected production cost
# one for affected production value
self.assertEqual(layer.fields().count(), len(unique_hazard) + 8)
