def test_run(self):
function = ClassifiedRasterHazardBuildingFunction.instance()
hazard_path = standard_data_path(
'hazard', 'classified_hazard.tif')
exposure_path = standard_data_path('exposure', 'small_building.shp')
hazard_layer = read_layer(hazard_path)
exposure_layer = read_layer(exposure_path)
function.hazard = SafeLayer(hazard_layer)
function.exposure = SafeLayer(exposure_layer)
function.run_analysis()
impact_layer = function.impact
impact_data = impact_layer.get_data()
# Count
expected_impact = {
'Not affected': 5,
'Low hazard zone': 2,
'Medium hazard zone': 9,
'High hazard zone': 5
}
result_impact = {}
for impact_feature in impact_data:
hazard_class = impact_feature[function.target_field]
if hazard_class in result_impact:
result_impact[hazard_class] += 1
else:
result_impact[hazard_class] = 1
self.assertDictEqual(expected_impact, result_impact)
def test_run(self):
"""TestVolcanoPolygonBuildingFunction: Test running the IF."""
volcano_path = standard_data_path('hazard', 'volcano_krb.shp')
building_path = standard_data_path('exposure', 'buildings.shp')
hazard_layer = read_layer(volcano_path)
exposure_layer = read_layer(building_path)
impact_function = VolcanoPolygonBuildingFunction.instance()
impact_function.hazard = SafeLayer(hazard_layer)
impact_function.exposure = SafeLayer(exposure_layer)
impact_function.run()
impact_layer = impact_function.impact
# Check the question
expected_question = (
'In the event of volcano krb how many buildings might be '
'affected?')
self.assertEqual(expected_question, impact_function.question)
# The buildings should all be categorised into 5000 zone
zone_sum = impact_layer.get_data(
attribute=impact_function.target_field)
krb3_zone_count = zone_sum.count('High Hazard Zone')
krb2_zone_count = zone_sum.count('Medium Hazard Zone')
# The result (counted by hand)
expected_krb3_count = 11
expected_krb2_count = 161
message = 'Expecting %s for KRB III zone, but it returns %s' % (
krb3_zone_count, expected_krb3_count)
self.assertEqual(krb3_zone_count, expected_krb3_count, message)
message = 'Expecting %s for KRB II zone, but it returns %s' % (
krb2_zone_count, expected_krb2_count)
self.assertEqual(krb2_zone_count, expected_krb2_count, message)
def test_run(self):
"""TestClassifiedPolygonPopulationFunction: Test running the IF."""
generic_polygon_path = standard_data_path(
'hazard', 'classified_generic_polygon.shp')
population_path = standard_data_path(
'exposure', 'pop_binary_raster_20_20.asc')
generic_polygon_layer = read_layer(generic_polygon_path)
population_layer = read_layer(population_path)
impact_function = ClassifiedPolygonHazardPopulationFunction.instance()
impact_function.hazard = SafeLayer(generic_polygon_layer)
impact_function.exposure = SafeLayer(population_layer)
impact_function.run()
impact_layer = impact_function.impact
# Check the question
expected_question = ('In each of the hazard zones how many people '
'might be impacted.')
message = 'The question should be %s, but it returns %s' % (
expected_question, impact_function.question)
self.assertEqual(expected_question, impact_function.question, message)
# Count by hand
expected_affected_population = 181
result = numpy.nansum(impact_layer.get_data())
self.assertEqual(expected_affected_population, result, message)
def test_run(self):
function = AshRasterPopulationFunction.instance()
hazard_path = standard_data_path('hazard', 'ash_raster_wgs84.tif')
exposure_path = standard_data_path(
'exposure', 'pop_binary_raster_20_20.asc')
# We need clipping for both layers to be in the same dimension
clipped_hazard, clipped_exposure = clip_layers(
hazard_path, exposure_path)
hazard_layer = read_layer(clipped_hazard.source())
exposure_layer = read_layer(clipped_exposure.source())
# Let's set the extent to the hazard extent
function.hazard = SafeLayer(hazard_layer)
function.exposure = SafeLayer(exposure_layer)
function.run()
impact = function.impact
expected = [
[u'Population in very low hazard zone', 0],
[u'Population in medium hazard zone', 1374],
[u'Population in high hazard zone', 20],
[u'Population in very high hazard zone', 0],
[u'Population in low hazard zone', 8443],
[u'Total affected population', 9837],
[u'Unaffected population', 0],
[u'Total population', 9837],
[u'Population needing evacuation <sup>1</sup>', 9837]
]
self.assertListEqual(
expected, impact.impact_data['impact summary']['fields'])
def test_run(self):
"""TestVolcanoPointPopulationFunction: Test running the IF."""
merapi_point_path = standard_data_path('hazard', 'volcano_point.shp')
population_path = standard_data_path('exposure',
'pop_binary_raster_20_20.asc')
merapi_point_layer = read_layer(merapi_point_path)
population_layer = read_layer(population_path)
impact_function = VolcanoPointPopulationFunction.instance()
# Run merapi point
impact_function.hazard = SafeLayer(merapi_point_layer)
impact_function.exposure = SafeLayer(population_layer)
impact_function._prepare()
impact_function.run()
impact_layer = impact_function.impact
# Check the question
expected_question = (
'In the event of a volcano point how many people might be '
'impacted?')
self.assertEqual(expected_question, impact_function.question)
# Count by hand
expected_affected_population = 200
result = numpy.nansum(impact_layer.get_data())
self.assertEqual(expected_affected_population, result)
def test_run(self):
function = FloodRasterRoadsFunction.instance()
hazard_path = standard_data_path('hazard',
'continuous_flood_20_20.asc')
exposure_path = standard_data_path('exposure', 'roads.shp')
# noinspection PyCallingNonCallable
hazard_layer = QgsRasterLayer(hazard_path, 'Flood')
# noinspection PyCallingNonCallable
exposure_layer = QgsVectorLayer(exposure_path, 'Roads', 'ogr')
# Let's set the extent to the hazard extent
extent = hazard_layer.extent()
rect_extent = [
extent.xMinimum(),
extent.yMaximum(),
extent.xMaximum(),
extent.yMinimum()
]
function.hazard = SafeLayer(hazard_layer)
function.exposure = SafeLayer(exposure_layer)
function.requested_extent = rect_extent
function.run()
impact = function.impact
keywords = impact.get_keywords()
self.assertEquals(function.target_field, keywords['target_field'])
expected_inundated_feature = 182
count = sum(impact.get_data(attribute=function.target_field))
self.assertEquals(count, expected_inundated_feature)
def test_run(self):
"""TestVolcanoPolygonPopulationFunction: Test running the IF."""
merapi_krb_path = standard_data_path('hazard', 'volcano_krb.shp')
population_path = standard_data_path(
'exposure', 'pop_binary_raster_20_20.asc')
merapi_krb_layer = read_layer(merapi_krb_path)
population_layer = read_layer(population_path)
impact_function = VolcanoPolygonPopulationFunction.instance()
# 2. Run merapi krb
impact_function.hazard = SafeLayer(merapi_krb_layer)
impact_function.exposure = SafeLayer(population_layer)
impact_function.run()
impact_layer = impact_function.impact
# Check the question
expected_question = (
'In the event of volcano krb how many population might need '
'evacuation?')
self.assertEqual(expected_question, impact_function.question)
# Count by hand
expected_affected_population = 181
result = numpy.nansum(impact_layer.get_data())
self.assertEqual(expected_affected_population, result)
def test_run(self):
"""TestVolcanoPointPopulationFunction: Test running the IF."""
merapi_point_path = standard_data_path('hazard', 'volcano_point.shp')
population_path = standard_data_path(
'exposure', 'pop_binary_raster_20_20.asc')
merapi_point_layer = read_layer(merapi_point_path)
population_layer = read_layer(population_path)
impact_function = VolcanoPointPopulationFunction.instance()
# Run merapi point
impact_function.hazard = SafeLayer(merapi_point_layer)
impact_function.exposure = SafeLayer(population_layer)
impact_function._prepare()
impact_function.run()
impact_layer = impact_function.impact
# Check the question
expected_question = (
'In the event of a volcano point how many people might be '
'impacted?')
self.assertEqual(expected_question, impact_function.question)
# Count by hand
expected_affected_population = 200
result = numpy.nansum(impact_layer.get_data())
self.assertEqual(expected_affected_population, result)
def test_run(self):
impact_function = FloodRasterBuildingFunction.instance()
hazard_path = standard_data_path("hazard", "continuous_flood_20_20.asc")
exposure_path = standard_data_path("exposure", "buildings.shp")
hazard_layer = read_layer(hazard_path)
exposure_layer = read_layer(exposure_path)
impact_function.hazard = SafeLayer(hazard_layer)
impact_function.exposure = SafeLayer(exposure_layer)
impact_function.run()
impact_layer = impact_function.impact
# Extract calculated result
impact_data = impact_layer.get_data()
self.assertEqual(len(impact_data), 181)
# 1 = inundated, 2 = wet, 3 = dry
expected_result = {1: 64, 2: 117, 3: 0}
result = {1: 0, 2: 0, 3: 0}
for feature in impact_data:
inundated_status = feature[impact_function.target_field]
result[inundated_status] += 1
message = "Expecting %s, but it returns %s" % (expected_result, result)
self.assertEqual(expected_result, result, message)
def test_run(self):
function = FloodPolygonRoadsFunction.instance()
hazard_path = standard_data_path('hazard',
'flood_multipart_polygons.shp')
exposure_path = standard_data_path('exposure', 'roads.shp')
# noinspection PyCallingNonCallable
hazard_layer = QgsVectorLayer(hazard_path, 'Flood', 'ogr')
# noinspection PyCallingNonCallable
exposure_layer = QgsVectorLayer(exposure_path, 'Roads', 'ogr')
# Let's set the extent to the hazard extent
extent = hazard_layer.extent()
rect_extent = [
extent.xMinimum(),
extent.yMaximum(),
extent.xMaximum(),
extent.yMinimum()
]
function.hazard = SafeLayer(hazard_layer)
function.exposure = SafeLayer(exposure_layer)
function.requested_extent = rect_extent
function.run()
impact = function.impact
# Count of flooded objects is calculated "by the hands"
# the count = 69
expected_feature_total = 69
count = sum(impact.get_data(attribute=function.target_field))
message = 'Expecting %s, but it returns %s' % (expected_feature_total,
count)
self.assertEquals(count, expected_feature_total, message)
def test_set_layers(self):
"""
Test set up aggregator's layers work
"""
hazard = QgsVectorLayer(
standard_data_path('hazard', 'multipart_polygons_osm_4326.shp'),
'hazard', 'ogr')
exposure = QgsVectorLayer(
standard_data_path('exposure', 'buildings_osm_4326.shp'), 'impact',
'ogr')
aggregation_layer = QgsVectorLayer(
os.path.join(BOUNDDATA, 'kabupaten_jakarta.shp'),
'test aggregation', 'ogr')
# Test in
# aoi mode (use None)
# not aoi mode (use aggregation_layer)
for agg_layer in [None, aggregation_layer]:
aggregator = Aggregator(self.extent, None)
aggregator.set_layers(hazard, exposure)
self.assertEquals(aggregator.exposure_layer, exposure)
self.assertEquals(aggregator.hazard_layer, hazard)
layer = aggregator.layer
extent = layer.extent()
x_min, y_min, x_max, y_max = \
extent.xMinimum(), extent.yMinimum(), \
extent.xMaximum(), extent.yMaximum()
self.assertAlmostEquals(self.extent[0], x_min)
self.assertAlmostEquals(self.extent[1], y_min)
self.assertAlmostEquals(self.extent[2], x_max)
self.assertAlmostEquals(self.extent[3], y_max)
self.assertTrue(aggregator.safe_layer.is_vector)
_ = agg_layer
def test_run(self):
"""TestVolcanoPointBuildingFunction: Test running the IF."""
volcano_path = standard_data_path('hazard', 'volcano_point.shp')
building_path = standard_data_path('exposure', 'buildings.shp')
hazard_layer = read_layer(volcano_path)
exposure_layer = read_layer(building_path)
impact_function = VolcanoPointBuildingFunction.instance()
impact_function.hazard = SafeLayer(hazard_layer)
impact_function.exposure = SafeLayer(exposure_layer)
impact_function._prepare()
impact_function.run()
impact_layer = impact_function.impact
# Check the question
expected_question = (
'In the event of volcano point how many buildings might be '
'affected')
message = 'The question should be %s, but it returns %s' % (
expected_question, impact_function.question)
self.assertEqual(expected_question, impact_function.question, message)
# The buildings should all be categorised into 3000 zone
zone_sum = sum(impact_layer.get_data(
attribute=impact_function.target_field))
expected_sum = 3 * 181
message = 'Expecting %s, but it returns %s' % (expected_sum, zone_sum)
self.assertEqual(zone_sum, expected_sum, message)
def test_run(self):
function = FloodRasterRoadsFunction.instance()
hazard_path = standard_data_path(
'hazard', 'continuous_flood_20_20.asc')
exposure_path = standard_data_path('exposure', 'roads.shp')
# noinspection PyCallingNonCallable
hazard_layer = QgsRasterLayer(hazard_path, 'Flood')
# noinspection PyCallingNonCallable
exposure_layer = QgsVectorLayer(exposure_path, 'Roads', 'ogr')
# Let's set the extent to the hazard extent
extent = hazard_layer.extent()
rect_extent = [
extent.xMinimum(), extent.yMaximum(),
extent.xMaximum(), extent.yMinimum()]
function.hazard = SafeLayer(hazard_layer)
function.exposure = SafeLayer(exposure_layer)
function.requested_extent = rect_extent
function.run()
impact = function.impact
keywords = impact.get_keywords()
self.assertEquals(function.target_field, keywords['target_field'])
expected_inundated_feature = 182
count = sum(impact.get_data(attribute=function.target_field))
self.assertEquals(count, expected_inundated_feature)
def test_run(self):
function = ContinuousHazardPopulationFunction.instance()
hazard_path = standard_data_path(
'hazard', 'continuous_flood_20_20.asc')
exposure_path = standard_data_path(
'exposure', 'pop_binary_raster_20_20.asc')
hazard_layer = read_layer(hazard_path)
exposure_layer = read_layer(exposure_path)
function.hazard = SafeLayer(hazard_layer)
function.exposure = SafeLayer(exposure_layer)
function.run()
impact = function.impact
# print "keywords", keywords
keywords = impact.get_keywords()
total_needs_full = keywords['total_needs']
total_needs_weekly = OrderedDict([
[x['table name'], x['amount']] for x in
total_needs_full['weekly']
])
total_needs_single = OrderedDict([
[x['table name'], x['amount']] for x in
total_needs_full['single']
])
self.assertEqual(total_needs_weekly['Rice [kg]'], 336)
self.assertEqual(total_needs_weekly['Drinking Water [l]'], 2100)
self.assertEqual(total_needs_weekly['Clean Water [l]'], 8040)
self.assertEqual(total_needs_weekly['Family Kits'], 24)
self.assertEqual(total_needs_single['Toilets'], 6)
def test_is_polygonal_layer(self):
"""Test we can get the correct attributes back"""
# Polygon layer
layer = clone_shp_layer(
name='district_osm_jakarta',
include_keywords=True,
source_directory=standard_data_path('boundaries'))
message = 'isPolygonLayer, %s layer should be polygonal' % layer
self.assertTrue(is_polygon_layer(layer), message)
# Point layer
layer = clone_shp_layer(
name='volcano_point',
include_keywords=True,
source_directory=standard_data_path('hazard'))
message = '%s layer should be polygonal' % layer
self.assertFalse(is_polygon_layer(layer), message)
layer = clone_raster_layer(
name='padang_tsunami_mw8',
extension='.tif',
include_keywords=True,
source_directory=standard_data_path('hazard')
)
message = ('%s raster layer should not be polygonal' % layer)
self.assertFalse(is_polygon_layer(layer), message)
def test_run(self):
impact_function = FloodRasterBuildingFunction.instance()
hazard_path = standard_data_path('hazard',
'continuous_flood_20_20.asc')
exposure_path = standard_data_path('exposure', 'buildings.shp')
hazard_layer = read_layer(hazard_path)
exposure_layer = read_layer(exposure_path)
impact_function.hazard = SafeLayer(hazard_layer)
impact_function.exposure = SafeLayer(exposure_layer)
impact_function.run()
impact_layer = impact_function.impact
# Extract calculated result
impact_data = impact_layer.get_data()
self.assertEqual(len(impact_data), 181)
# 1 = inundated, 2 = wet, 3 = dry
expected_result = {1: 64, 2: 117, 3: 0}
result = {1: 0, 2: 0, 3: 0}
for feature in impact_data:
inundated_status = feature[impact_function.target_field]
result[inundated_status] += 1
message = 'Expecting %s, but it returns %s' % (expected_result, result)
self.assertEqual(expected_result, result, message)
def test_run(self):
"""TestVolcanoPolygonPopulationFunction: Test running the IF."""
merapi_krb_path = standard_data_path('hazard', 'volcano_krb.shp')
population_path = standard_data_path('exposure',
'pop_binary_raster_20_20.asc')
merapi_krb_layer = read_layer(merapi_krb_path)
population_layer = read_layer(population_path)
impact_function = VolcanoPolygonPopulationFunction.instance()
# 2. Run merapi krb
impact_function.hazard = SafeLayer(merapi_krb_layer)
impact_function.exposure = SafeLayer(population_layer)
impact_function.run()
impact_layer = impact_function.impact
# Check the question
expected_question = (
'In the event of volcano krb how many population might need '
'evacuation?')
self.assertEqual(expected_question, impact_function.question)
# Count by hand
expected_affected_population = 181
result = numpy.nansum(impact_layer.get_data())
self.assertEqual(expected_affected_population, result)
def test_run(self):
"""TestVolcanoPointBuildingFunction: Test running the IF."""
volcano_path = standard_data_path('hazard', 'volcano_point.shp')
building_path = standard_data_path('exposure', 'buildings.shp')
hazard_layer = read_layer(volcano_path)
exposure_layer = read_layer(building_path)
impact_function = VolcanoPointBuildingFunction.instance()
impact_function.hazard = SafeLayer(hazard_layer)
impact_function.exposure = SafeLayer(exposure_layer)
impact_function._prepare()
impact_function.run()
impact_layer = impact_function.impact
# Check the question
expected_question = (
'In the event of volcano point how many buildings might be '
'affected?')
self.assertEqual(expected_question, impact_function.question)
# The buildings should all be categorised into 3000 zone
zone_sum = sum(
impact_layer.get_data(attribute=impact_function.target_field))
expected_sum = 3 * 181
message = 'Expecting %s, but it returns %s' % (expected_sum, zone_sum)
self.assertEqual(zone_sum, expected_sum, message)
def test_run_without_population_field(self):
impact_function = AshRasterPlacesFunction.instance()
hazard_path = standard_data_path("hazard", "ash_raster_wgs84.tif")
exposure_path = standard_data_path("exposure", "places.shp")
hazard_layer = QgsRasterLayer(hazard_path, "Ash")
exposure_layer = QgsVectorLayer(exposure_path, "Places", "ogr")
impact_function.hazard = hazard_layer
impact_function.exposure = exposure_layer
# Let's set the extent to the hazard extent
extent = hazard_layer.extent()
rect_extent = [extent.xMinimum(), extent.yMaximum(), extent.xMaximum(), extent.yMinimum()]
impact_function.requested_extent = rect_extent
impact_function.run()
impact_layer = impact_function.impact
# Extract calculated result
impact_data = impact_layer.get_data()
# 1 = inundated, 2 = wet, 3 = dry
expected_result = {0: 0, 1: 135, 2: 62, 3: 1, 4: 0}
result = {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}
for feature in impact_data:
inundated_status = feature[impact_function.target_field]
result[inundated_status] += 1
self.assertDictEqual(expected_result, result)
def test_issue71(self):
"""Test issue #71 in github - cbo changes should update ok button."""
# See https://github.com/AIFDR/inasafe/issues/71
settings = QtCore.QSettings()
settings.setValue('inasafe/analysis_extents_mode', 'HazardExposure')
self.tearDown()
button = self.dock.pbnRunStop
# First part of scenario should have enabled run
file_list = [
standard_data_path('hazard', 'continuous_flood_20_20.asc'),
standard_data_path('exposure', 'pop_binary_raster_20_20.asc')
]
hazard_layer_count, exposure_layer_count = load_layers(file_list)
message = ('Incorrect number of Hazard layers: expected 1 got %s' %
hazard_layer_count)
self.assertTrue(hazard_layer_count == 1, message)
message = ('Incorrect number of Exposure layers: expected 1 got %s' %
exposure_layer_count)
self.assertTrue(exposure_layer_count == 1, message)
message = 'Run button was not enabled'
self.assertTrue(button.isEnabled(), message)
# Second part of scenario - run disabled when adding invalid layer
# and select it - run should be disabled
path = os.path.join(TESTDATA, 'issue71.tif')
file_list = [path] # This layer has incorrect keywords
clear_flag = False
_, _ = load_layers(file_list, clear_flag)
# set exposure to : Population Count (5kmx5km)
# by moving one down
self.dock.cboExposure.setCurrentIndex(
self.dock.cboExposure.currentIndex() + 1)
actual_dict = get_ui_state(self.dock)
expected_dict = {
'Run Button Enabled': False,
'Impact Function Id': '',
'Impact Function Title': '',
'Hazard': 'Continuous Flood',
'Exposure': 'Population Count (5kmx5km)'
}
message = (('Run button was not disabled when exposure set to \n%s'
'\nUI State: \n%s\nExpected State:\n%s\n%s') %
(self.dock.cboExposure.currentText(), actual_dict,
expected_dict, combos_to_string(self.dock)))
self.assertTrue(expected_dict == actual_dict, message)
# Now select again a valid layer and the run button
# should be enabled
self.dock.cboExposure.setCurrentIndex(
self.dock.cboExposure.currentIndex() - 1)
message = ('Run button was not enabled when exposure set to \n%s' %
self.dock.cboExposure.currentText())
self.assertTrue(button.isEnabled(), message)
def test_run_point_exposure(self):
"""Run the IF for point exposure.
See https://github.com/AIFDR/inasafe/issues/2156.
"""
generic_polygon_path = standard_data_path(
'hazard', 'classified_generic_polygon.shp')
building_path = standard_data_path('exposure', 'building-points.shp')
hazard_layer = QgsVectorLayer(generic_polygon_path, 'Hazard', 'ogr')
exposure_layer = QgsVectorLayer(building_path, 'Buildings', 'ogr')
# Let's set the extent to the hazard extent
extent = hazard_layer.extent()
rect_extent = [
extent.xMinimum(),
extent.yMaximum(),
extent.xMaximum(),
extent.yMinimum()
]
impact_function = ClassifiedPolygonHazardBuildingFunction.instance()
impact_function.hazard = SafeLayer(hazard_layer)
impact_function.exposure = SafeLayer(exposure_layer)
impact_function.requested_extent = rect_extent
impact_function.run()
impact_layer = impact_function.impact
# Check the question
expected_question = (
'In each of the hazard zones how many buildings might be '
'affected?')
self.assertEqual(expected_question, impact_function.question)
zone_sum = impact_layer.get_data(
attribute=impact_function.target_field)
high_zone_count = zone_sum.count('High Hazard Zone')
medium_zone_count = zone_sum.count('Medium Hazard Zone')
low_zone_count = zone_sum.count('Low Hazard Zone')
# The result
expected_high_count = 12
expected_medium_count = 172
expected_low_count = 3
message = 'Expecting %s for High Hazard Zone, but it returns %s' % (
high_zone_count, expected_high_count)
self.assertEqual(high_zone_count, expected_high_count, message)
message = 'Expecting %s for Medium Hazard Zone, but it returns %s' % (
expected_medium_count, medium_zone_count)
self.assertEqual(medium_zone_count, expected_medium_count, message)
message = 'Expecting %s for Low Hazard Zone, but it returns %s' % (
expected_low_count, low_zone_count)
self.assertEqual(expected_low_count, low_zone_count, message)
def test_load_layer_from_uri(self):
"""Test we can load a layer with different parameters."""
# Without provider
path = standard_data_path(
'gisv4', 'aggregation', 'small_grid.geojson')
layer, purpose = load_layer(path)
self.assertTrue(layer.isValid())
self.assertEqual(layer.name(), 'small_grid')
self.assertEqual(purpose, 'aggregation')
layer, purpose = load_layer(path, 'foo')
self.assertEqual(layer.name(), 'foo')
# With internal URI
internal_uri = full_layer_uri(layer)
self.assertTrue(
internal_uri.endswith('small_grid.geojson|qgis_provider=ogr'),
internal_uri
)
layer, purpose = load_layer(full_layer_uri(layer))
self.assertTrue(layer.isValid())
self.assertEqual(layer.name(), 'small_grid')
self.assertEqual(purpose, 'aggregation')
# path plus extra layer parameter
path = standard_data_path(
'gisv4', 'aggregation', 'small_grid.geojson')
path += '|layerid=0'
layer, purpose = load_layer(path)
self.assertTrue(layer.isValid())
self.assertEqual(layer.name(), 'small_grid')
self.assertEqual(purpose, 'aggregation')
# CSV
path = standard_data_path(
'gisv4', 'impacts', 'exposure_summary_table.csv')
layer, purpose = load_layer(path)
self.assertTrue(layer.isValid())
self.assertEqual(layer.name(), 'exposure_summary_table')
self.assertEqual(purpose, 'undefined')
self.assertEqual(len(layer.fields()), 4)
# QLR
# This QLR contains a file based reference layer to
# small_grid.geojson, and it should work the same way
# as if we load small_grid.geojson
# In practice we could put the non file-based layer (PostGIS/WFS)
# and load it from QLR
path = standard_data_path(
'gisv4', 'aggregation', 'small_grid.qlr')
layer, purpose = load_layer(path)
self.assertTrue(layer.isValid())
self.assertEqual(layer.name(), 'small_grid')
self.assertEqual(purpose, 'aggregation')
def test_run_point_exposure(self):
"""Run the IF for point exposure.
See https://github.com/AIFDR/inasafe/issues/2156.
"""
generic_polygon_path = standard_data_path(
'hazard', 'classified_generic_polygon.shp')
building_path = standard_data_path('exposure', 'building-points.shp')
hazard_layer = QgsVectorLayer(generic_polygon_path, 'Hazard', 'ogr')
exposure_layer = QgsVectorLayer(building_path, 'Buildings', 'ogr')
# Let's set the extent to the hazard extent
extent = hazard_layer.extent()
rect_extent = [
extent.xMinimum(), extent.yMaximum(),
extent.xMaximum(), extent.yMinimum()]
impact_function = ClassifiedPolygonHazardBuildingFunction.instance()
impact_function.hazard = SafeLayer(hazard_layer)
impact_function.exposure = SafeLayer(exposure_layer)
impact_function.requested_extent = rect_extent
impact_function.run()
impact_layer = impact_function.impact
# Check the question
expected_question = ('In each of the hazard zones how many buildings '
'might be affected.')
message = 'The question should be %s, but it returns %s' % (
expected_question, impact_function.question)
self.assertEqual(expected_question, impact_function.question, message)
zone_sum = impact_layer.get_data(
attribute=impact_function.target_field)
high_zone_count = zone_sum.count('High Hazard Zone')
medium_zone_count = zone_sum.count('Medium Hazard Zone')
low_zone_count = zone_sum.count('Low Hazard Zone')
# The result
expected_high_count = 12
expected_medium_count = 172
expected_low_count = 3
message = 'Expecting %s for High Hazard Zone, but it returns %s' % (
high_zone_count, expected_high_count)
self.assertEqual(high_zone_count, expected_high_count, message)
message = 'Expecting %s for Medium Hazard Zone, but it returns %s' % (
expected_medium_count, medium_zone_count)
self.assertEqual(medium_zone_count, expected_medium_count, message)
message = 'Expecting %s for Low Hazard Zone, but it returns %s' % (
expected_low_count, low_zone_count)
self.assertEqual(expected_low_count, low_zone_count, message)
def test_raster_to_vector_and_line_intersection(self):
"""Test the core part of the analysis.
1. Test creation of spatial index of flood cells
2. Test intersection of flood cells with roads layer
"""
raster_name = standard_data_path(
'hazard',
'tsunami_wgs84.tif')
exposure_name = standard_data_path(
'exposure',
'roads_osm_4326.shp')
raster = QgsRasterLayer(raster_name, 'Flood')
exposure = QgsVectorLayer(exposure_name, 'Exposure', 'ogr')
ranges = OrderedDict()
ranges[0] = [0, 1]
ranges[1] = [1, 2]
ranges[2] = [2, 100]
index, flood_cells_map = _raster_to_vector_cells(
raster, ranges, exposure.crs())
self.assertEqual(len(flood_cells_map), 4198)
rect_with_all_cells = raster.extent()
rect_with_4_cells = QgsRectangle(106.824, -6.177, 106.825, -6.179)
rect_with_0_cells = QgsRectangle(106.818, -6.168, 106.828, -6.175)
self.assertEqual(len(index.intersects(rect_with_all_cells)), 4198)
self.assertEqual(len(index.intersects(rect_with_4_cells)), 43)
self.assertEqual(len(index.intersects(rect_with_0_cells)), 504)
layer = create_layer(exposure)
new_field = QgsField('flooded', QVariant.Int)
layer.dataProvider().addAttributes([new_field])
request = QgsFeatureRequest()
_intersect_lines_with_vector_cells(
exposure, request, index, flood_cells_map, layer, 'flooded')
feature_count = layer.featureCount()
self.assertEqual(feature_count, 388)
flooded = 0
iterator = layer.getFeatures()
for feature in iterator:
attributes = feature.attributes()
if attributes[3] == 1:
flooded += 1
self.assertEqual(flooded, 40)
def test_write_read_iso_19115_metadata(self):
"""Test for write_read_iso_19115_metadata."""
keywords = {
# 'date': '26-03-2015 14:03',
'exposure': 'structure',
'keyword_version': inasafe_keyword_version,
'layer_geometry': 'polygon',
'layer_mode': 'classified',
'layer_purpose': 'exposure',
'license': 'Open Data Commons Open Database License (ODbL)',
'source': 'OpenStreetMap - www.openstreetmap.org',
'title': 'Buildings',
'inasafe_fields': {
'youth_count_field': [
'POP_F_0-4',
'POP_F_5-6',
'POP_F_7-12',
]
}
}
layer = clone_shp_layer(
name='buildings',
include_keywords=False,
source_directory=standard_data_path('exposure'))
write_iso19115_metadata(layer.source(), keywords)
read_metadata = read_iso19115_metadata(layer.source())
self.assertDictEqual(keywords, read_metadata)
# Version 3.5
keywords = {
# 'date': '26-03-2015 14:03',
'exposure': 'structure',
'keyword_version': '3.2',
'layer_geometry': 'polygon',
'layer_mode': 'classified',
'layer_purpose': 'exposure',
'license': 'Open Data Commons Open Database License (ODbL)',
'source': 'OpenStreetMap - www.openstreetmap.org',
'structure_class_field': 'TYPE',
'title': 'Buildings'
}
layer = clone_shp_layer(
name='buildings',
include_keywords=False,
source_directory=standard_data_path('exposure'))
write_iso19115_metadata(layer.source(), keywords, version_35=True)
read_metadata = read_iso19115_metadata(layer.source(), version_35=True)
self.assertDictEqual(keywords, read_metadata)
def setUp(self):
self.keyword_io = KeywordIO()
# SQLite Layer
uri = QgsDataSourceURI()
sqlite_building_path = standard_data_path(
'exposure', 'exposure.sqlite')
uri.setDatabase(sqlite_building_path)
uri.setDataSource('', 'buildings_osm_4326', 'Geometry')
self.sqlite_layer = QgsVectorLayer(
uri.uri(), 'OSM Buildings', 'spatialite')
self.expected_sqlite_keywords = {
'datatype': 'OSM'
}
# Raster Layer keywords
hazard_path = standard_data_path('hazard', 'tsunami_wgs84.tif')
self.raster_layer, _ = load_layer(hazard_path)
self.expected_raster_keywords = {
'hazard_category': 'single_event',
'title': 'Generic Continuous Flood',
'hazard': 'flood',
'continuous_hazard_unit': 'generic',
'layer_geometry': 'raster',
'layer_purpose': 'hazard',
'layer_mode': 'continuous',
'keyword_version': '3.5'
}
# Vector Layer keywords
vector_path = standard_data_path('exposure', 'buildings_osm_4326.shp')
self.vector_layer, _ = load_layer(vector_path)
self.expected_vector_keywords = {
'keyword_version': '3.5',
'structure_class_field': 'FLOODED',
'value_mapping': {},
'title': 'buildings_osm_4326',
'layer_geometry': 'polygon',
'layer_purpose': 'exposure',
'layer_mode': 'classified',
'exposure': 'structure',
}
# Keyword less layer
keywordless_path = standard_data_path('other', 'keywordless_layer.shp')
self.keywordless_layer, _ = load_layer(keywordless_path)
# Keyword file
self.keyword_path = standard_data_path(
'exposure', 'buildings_osm_4326.xml')
def setUp(self):
self.keyword_io = KeywordIO()
# SQLite Layer
uri = QgsDataSourceUri()
sqlite_building_path = standard_data_path(
'exposure', 'exposure.sqlite')
uri.setDatabase(sqlite_building_path)
uri.setDataSource('', 'buildings_osm_4326', 'Geometry')
self.sqlite_layer = QgsVectorLayer(
uri.uri(), 'OSM Buildings', 'spatialite')
self.expected_sqlite_keywords = {
'datatype': 'OSM'
}
# Raster Layer keywords
hazard_path = standard_data_path('hazard', 'tsunami_wgs84.tif')
self.raster_layer, _ = load_layer(hazard_path, provider='gdal')
self.expected_raster_keywords = {
'hazard_category': 'single_event',
'title': 'Generic Continuous Flood',
'hazard': 'flood',
'continuous_hazard_unit': 'generic',
'layer_geometry': 'raster',
'layer_purpose': 'hazard',
'layer_mode': 'continuous',
'keyword_version': '3.5'
}
# Vector Layer keywords
vector_path = standard_data_path('exposure', 'buildings_osm_4326.shp')
self.vector_layer, _ = load_layer(vector_path, provider='ogr')
self.expected_vector_keywords = {
'keyword_version': '3.5',
'value_map': {},
'title': 'buildings_osm_4326',
'layer_geometry': 'polygon',
'layer_purpose': 'exposure',
'layer_mode': 'classified',
'exposure': 'structure',
}
# Keyword less layer
keywordless_path = standard_data_path('other', 'keywordless_layer.shp')
self.keywordless_layer, _ = load_layer(
keywordless_path, provider='ogr')
# Keyword file
self.keyword_path = standard_data_path(
'exposure', 'buildings_osm_4326.xml')
def test_converting(self):
"""Test converting grif file to tiff."""
dialog = ShakemapConverterDialog(PARENT, IFACE)
dialog.use_output_default.setEnabled(False)
grid_path = standard_data_path(
'hazard',
'shake_data',
'20131105060809',
'output',
'grid.xml')
output_raster = unique_filename(
prefix='result_grid',
suffix='.tif',
dir=temp_dir('test'))
dialog.load_result.setEnabled(True)
dialog.load_result.setChecked(False)
dialog.input_path.setText(grid_path)
dialog.nearest_mode.setChecked(True)
dialog.output_path.setText(output_raster)
button = dialog.button_box.button(QDialogButtonBox.Ok)
button.click()
msg = 'Raster is not created'
output_path = '%s-nearest.tif' % output_raster[:-4]
self.assertTrue(os.path.exists(output_path), msg)
def test_print_impact_table(self):
"""Test print impact table to pdf."""
impact_layer_path = standard_data_path(
'impact', 'population_affected_entire_area.shp')
layer, _ = load_layer(impact_layer_path)
# noinspection PyUnresolvedReferences,PyArgumentList
QgsMapLayerRegistry.instance().addMapLayer(layer)
# noinspection PyCallingNonCallable
rect = QgsRectangle(106.8194, -6.2108, 106.8201, -6.1964)
CANVAS.setExtent(rect)
CANVAS.refresh()
template = resources_path(
'qgis-composer-templates', 'a4-portrait-blue.qpt')
report = ImpactReport(IFACE, template, layer)
report.template = template # just to cover set template
out_path = unique_filename(
prefix='test_print_impact_table',
suffix='.pdf',
dir=temp_dir('test'))
report.print_impact_table(out_path)
# Check the file exists
message = 'Rendered output does not exist: %s' % out_path
self.assertTrue(os.path.exists(out_path), message)
# Check the file is not corrupt
message = 'The output file %s is corrupt' % out_path
out_size = os.stat(out_path).st_size
self.assertTrue(out_size > 0, message)
def test_transparency_of_minimum_value(self):
"""Test that transparency of minimum value works when set to 100%
"""
# This dataset has all cells with value 1.3
data_path = standard_data_path('other', 'issue126.tif')
layer, _ = load_layer(data_path)
# Note the float quantity values below
style_info = {
'style_classes': [
{'colour': '#FFFFFF', 'transparency': 100, 'quantity': 0.0},
{'colour': '#38A800', 'quantity': 0.038362596547925065,
'transparency': 0, 'label': u'Rendah [0 orang/sel]'},
{'colour': '#79C900', 'transparency': 0,
'quantity': 0.07672519309585013},
{'colour': '#CEED00', 'transparency': 0,
'quantity': 0.1150877896437752},
{'colour': '#FFCC00', 'quantity': 0.15345038619170026,
'transparency': 0, 'label': u'Sedang [0 orang/sel]'},
{'colour': '#FF6600', 'transparency': 0,
'quantity': 0.19181298273962533},
{'colour': '#FF0000', 'transparency': 0,
'quantity': 0.23017557928755039},
{'colour': '#7A0000', 'quantity': 0.26853817583547546,
'transparency': 0, 'label': u'Tinggi [0 orang/sel]'}]}
try:
setRasterStyle(layer, style_info)
except Exception, e:
message = '\nCould not create raster style'
e.args = (e.args[0] + message,)
raise
def test_update_keywords(self):
"""Test append file keywords with update_keywords method."""
self.maxDiff = None
layer = clone_raster_layer(
name='tsunami_wgs84',
extension='.tif',
include_keywords=True,
source_directory=standard_data_path('hazard'))
new_keywords = {'hazard_category': 'multiple_event'}
self.keyword_io.update_keywords(layer, new_keywords)
keywords = self.keyword_io.read_keywords(layer)
expected_keywords = {
'hazard_category': 'multiple_event',
'title': 'Tsunami',
'hazard': 'tsunami',
'continuous_hazard_unit': 'metres',
'layer_geometry': 'raster',
'layer_purpose': 'hazard',
'layer_mode': 'continuous',
'keyword_version': inasafe_keyword_version
}
expected_keywords = {
k: get_unicode(v)
for k, v in expected_keywords.iteritems()
}
self.assertDictEqual(keywords, expected_keywords)
def test_preprocessing(self):
"""Preprocessing results are correct."""
# TODO - this needs to be fixed post dock refactor.
layer_path = standard_data_path('hazard',
'flood_polygon_crosskabupaten.shp')
# See qgis project in test data: vector_preprocessing_test.qgs
# add additional layers
file_list = [layer_path]
load_layers(file_list, clear_flag=False)
result, message = setup_scenario(
self.DOCK,
hazard='Flood Polygon Cross Kabupaten',
exposure='Population',
function_id='FloodEvacuationVectorHazardFunction',
aggregation_layer=u"Dístríct's of Jakarta",
aggregation_enabled_flag=True)
assert result, message
# Enable on-the-fly reprojection
set_canvas_crs(GEOCRS, True)
set_jakarta_extent(dock=self.DOCK)
# Press RUN
self.DOCK.accept()
expected_feature_count = 5
aggregator = self.DOCK.impact_function.aggregator
message = (
'The preprocessing should have generated %s features, '
'found %s' %
(expected_feature_count, aggregator.preprocessed_feature_count))
self.assertEqual(expected_feature_count,
aggregator.preprocessed_feature_count, message)
def test_relative_path(self):
"""Test we calculate the relative paths correctly when saving scenario.
"""
result, message = setup_scenario(self.DOCK,
hazard='Classified Flood',
exposure='Population')
self.assertTrue(result, message)
fake_dir = standard_data_path()
scenario_file = unique_filename(prefix='scenarioTest',
suffix='.txt',
dir=fake_dir)
exposure_layer = self.DOCK.get_exposure_layer().publicSource()
hazard_layer = self.DOCK.get_hazard_layer().publicSource()
relative_exposure = self.save_scenario_dialog.relative_path(
scenario_file, exposure_layer)
relative_hazard = self.save_scenario_dialog.relative_path(
scenario_file, hazard_layer)
if 'win32' in sys.platform:
# windows
self.assertEqual('exposure\\pop_binary_raster_20_20.asc',
relative_exposure)
self.assertEqual('hazard\\classified_flood_20_20.asc',
relative_hazard)
else:
self.assertEqual('exposure/pop_binary_raster_20_20.asc',
relative_exposure)
self.assertEqual('hazard/classified_flood_20_20.asc',
relative_hazard)
def test_retrieve_exposure_classes_lists(self):
"""Test retrieve_exposure_classes_lists method.
.. versionadded:: 4.0
"""
layer_paths = self.layer_paths_list
expected_classes_lists = [
None, None, None, None, generic_structure_classes['classes'],
generic_structure_classes['classes'], None,
generic_road_classes['classes']
]
for layer_path, expected_classes in zip(layer_paths,
expected_classes_lists):
path = standard_data_path(*layer_path)
layer, _ = load_layer(path)
actual_classes = retrieve_exposure_classes_lists(layer)
try:
self.assertEqual(expected_classes, actual_classes)
except Exception as e:
LOGGER.error('Layer path: {path}'.format(path=path))
LOGGER.error(
'Expected {classes}'.format(classes=expected_classes))
LOGGER.error('Actual {classes}'.format(classes=actual_classes))
raise e
def test_retrieve_exposure_classes_lists(self):
"""Test retrieve_exposure_classes_lists method.
.. versionadded:: 4.0
"""
layer_paths = self.layer_paths_list
expected_classes_lists = [
None,
None,
None,
None,
generic_structure_classes['classes'],
generic_structure_classes['classes'],
None,
generic_road_classes['classes']
]
for layer_path, expected_classes in zip(
layer_paths, expected_classes_lists):
path = standard_data_path(*layer_path)
layer, _ = load_layer(path)
actual_classes = retrieve_exposure_classes_lists(layer)
try:
self.assertEqual(
expected_classes, actual_classes)
except Exception as e:
LOGGER.error('Layer path: {path}'.format(
path=path))
LOGGER.error('Expected {classes}'.format(
classes=expected_classes))
LOGGER.error('Actual {classes}'.format(
classes=actual_classes))
raise e
def test_error_message(self):
"""Test we can send error messages to the message viewer."""
text = self.fake_error()
control_file_path = standard_data_path('control', 'files',
'test-error-message.txt')
expected_result = open(control_file_path).read().replace('\n', '')
self.assertEqual(text, expected_result)
def test_update_keywords(self):
"""Test append file keywords with update_keywords method."""
self.maxDiff = None
layer = clone_raster_layer(
name='tsunami_wgs84',
extension='.tif',
include_keywords=True,
source_directory=standard_data_path('hazard'))
new_keywords = {
'hazard_category': 'multiple_event'
}
self.keyword_io.update_keywords(layer, new_keywords)
keywords = self.keyword_io.read_keywords(layer)
expected_keywords = {
'hazard_category': 'multiple_event',
'title': 'Tsunami',
'hazard': 'tsunami',
'continuous_hazard_unit': 'metres',
'layer_geometry': 'raster',
'layer_purpose': 'hazard',
'layer_mode': 'continuous',
'keyword_version': inasafe_keyword_version
}
expected_keywords = {
k: get_unicode(v) for k, v in expected_keywords.iteritems()
}
self.assertDictEqual(keywords, expected_keywords)
def test_converting(self):
"""Test converting grif file to tiff."""
dialog = ShakemapConverterDialog(PARENT, IFACE)
dialog.use_output_default.setEnabled(False)
grid_path = standard_data_path(
'hazard',
'shake_data',
'20131105060809',
'output',
'grid.xml')
output_raster = unique_filename(
prefix='result_grid',
suffix='.tif',
dir=temp_dir('test'))
dialog.load_result.setEnabled(True)
dialog.load_result.setChecked(False)
dialog.input_path.setText(grid_path)
dialog.nearest_mode.setChecked(True)
dialog.output_path.setText(output_raster)
button = dialog.button_box.button(QDialogButtonBox.Ok)
button.click()
msg = 'Raster is not created'
output_path = '%s-nearest.tif' % output_raster[:-4]
self.assertTrue(os.path.exists(output_path), msg)
def test_is_polygonal_layer(self):
"""Test we can get the correct attributes back"""
# Polygon layer
layer = load_test_vector_layer(
'aggregation',
'district_osm_jakarta.geojson',
clone=True
)
message = 'isPolygonLayer, %s layer should be polygonal' % layer
self.assertTrue(is_polygon_layer(layer), message)
# Point layer
layer = load_test_vector_layer('hazard', 'volcano_point.geojson')
message = '%s layer should be polygonal' % layer
self.assertFalse(is_polygon_layer(layer), message)
# Raster layer
layer = clone_raster_layer(
name='earthquake',
extension='.tif',
include_keywords=True,
source_directory=standard_data_path('hazard')
)
message = ('%s raster layer should not be polygonal' % layer)
self.assertFalse(is_polygon_layer(layer), message)
def test_stacktrace_html(self):
"""Stack traces can be caught and rendered as html
"""
# This is about general exception handling, so ok to use catch-all
# pylint: disable=W0703
try:
bbox_intersection('aoeu', 'oaeu', [])
except Exception, e:
# Display message and traceback
message = get_error_message(e)
# print message
message = message.to_text()
self.assertIn(str(e), message)
self.assertIn('line', message)
self.assertIn('file', message)
message = get_error_message(e)
message = message.to_html()
assert str(e) in message
message = message.decode('string_escape')
control_file_path = standard_data_path(
'control',
'files',
'test-stacktrace-html.txt')
expected_results = open(control_file_path).read().replace('\n', '')
self.assertIn(expected_results, message)
def test_read_existing_geopackage(self):
"""Test we can read an existing geopackage."""
path = standard_data_path('other', 'jakarta.gpkg')
import os
path = os.path.normpath(os.path.normcase(os.path.abspath(path)))
geopackage = QFileInfo(path)
data_store = GeoPackage(geopackage)
# We should have 3 layers in this geopackage.
self.assertEqual(len(data_store.layers()), 3)
# Test we can load a vector layer.
roads = QgsVectorLayer(
data_store.layer_uri('roads'),
'Test',
'ogr'
)
self.assertTrue(roads.isValid())
# Test we can load a raster layers.
# This currently fails on windows...
# So we have decorated it with expected fail on windows
# Should pass on other platforms.
path = data_store.layer_uri('flood')
flood = QgsRasterLayer(path, 'flood')
self.assertTrue(flood.isValid())
def test_layer_hazard_classification(self):
"""Test layer_hazard_classification method.
.. versionadded:: 4.0
"""
layer_paths = self.layer_paths_list
expected_classifications = [
generic_hazard_classes,
earthquake_mmi_scale,
tsunami_hazard_classes,
cyclone_au_bom_hazard_classes,
None,
None,
None,
None,
]
for layer_path, expected_classification in zip(
layer_paths, expected_classifications):
path = standard_data_path(*layer_path)
layer, _ = load_layer(path)
# inject classification keyword
if expected_classification:
layer.keywords['classification'] = (
expected_classification['key'])
actual_classification = layer_hazard_classification(layer)
try:
self.assertEqual(expected_classification,
actual_classification)
except Exception as e:
LOGGER.error('Layer path: {path}'.format(path=path))
LOGGER.error(
'Expected {name}'.format(**expected_classification))
LOGGER.error('Actual {name}'.format(**actual_classification))
raise e
def test_read_iso19115_metadata(self):
"""Test for read_iso19115_metadata method."""
exposure_layer = clone_shp_layer(
name='buildings',
include_keywords=False,
source_directory=standard_data_path('exposure'))
keywords = {
# 'date': '26-03-2015 14:03',
'exposure': 'structure',
'keyword_version': inasafe_keyword_version,
'layer_geometry': 'polygon',
'layer_mode': 'classified',
'layer_purpose': 'exposure',
'license': 'Open Data Commons Open Database License (ODbL)',
'source': 'OpenStreetMap - www.openstreetmap.org',
'title': 'Buildings'
}
write_iso19115_metadata(exposure_layer.source(), keywords)
read_metadata = read_iso19115_metadata(exposure_layer.source())
for key in set(keywords.keys()) & set(read_metadata.keys()):
self.assertEqual(read_metadata[key], keywords[key])
for key in set(keywords.keys()) - set(read_metadata.keys()):
message = 'key %s is not found in ISO metadata' % key
self.assertEqual(read_metadata[key], keywords[key], message)
for key in set(read_metadata.keys()) - set(keywords.keys()):
message = 'key %s is not found in old keywords' % key
self.assertEqual(read_metadata[key], keywords[key], message)
def test_polygonize_thresholds(self):
"""Test polygonize raster using gdal with some thresholds."""
raster_path = standard_data_path('hazard', 'jakarta_flood_design.tif')
inside_file_name, inside_layer_name, outside_file_name, \
outside_layer_name = polygonize_thresholds(
raster_path, 0.5)
# Syntactic sugar to ignore unused vars.
_ = inside_layer_name
_ = outside_layer_name
driver = ogr.GetDriverByName('ESRI Shapefile')
data_source = driver.Open(inside_file_name, 0)
layer = data_source.GetLayer()
feature_count = layer.GetFeatureCount()
# print 'inside %s' % (inside_file_name)
self.assertEquals(feature_count, 3)
data_source2 = driver.Open(outside_file_name, 0)
layer2 = data_source2.GetLayer()
feature_count2 = layer2.GetFeatureCount()
# print 'outside %s' % (outside_file_name)
self.assertEquals(feature_count2, 1)
def setUp(self):
"""Setup before each test."""
# Download files (which are local files) to realtime-test temp folder
local_path = os.path.join(temp_dir('realtime-test'))
shake_data = standard_data_path('hazard', 'shake_data', SHAKE_ID)
shutil.copytree(
shake_data, os.path.join(local_path, 'shakemaps', SHAKE_ID))
def test_read_existing_geopackage(self):
"""Test we can read an existing geopackage."""
path = standard_data_path('other', 'jakarta.gpkg')
import os
path = os.path.normpath(os.path.normcase(os.path.abspath(path)))
geopackage = QFileInfo(path)
data_store = GeoPackage(geopackage)
# We should have 3 layers in this geopackage.
self.assertEqual(len(data_store.layers()), 3)
# Test we can load a vector layer.
roads = QgsVectorLayer(
data_store.layer_uri('roads'),
'Test',
'ogr'
)
self.assertTrue(roads.isValid())
# Test we can load a raster layers.
# This currently fails on windows...
# So we have decorated it with expected fail on windows
# Should pass on other platforms.
path = data_store.layer_uri('flood')
flood = QgsRasterLayer(path, 'flood')
self.assertTrue(flood.isValid())
def test_layer_definition_type(self):
"""Test layer_definition_type method.
.. versionadded:: 4.0
"""
layer_paths = self.layer_paths_list
expected_definitions = [
hazard_generic,
hazard_earthquake,
hazard_tsunami,
hazard_cyclone,
exposure_structure,
exposure_structure,
exposure_population,
exposure_road,
]
for layer_path, expected_definition in zip(layer_paths,
expected_definitions):
path = standard_data_path(*layer_path)
layer, _ = load_layer(path)
actual_definition = layer_definition_type(layer)
try:
self.assertEqual(expected_definition, actual_definition)
except Exception as e:
LOGGER.error('Layer path: {path}'.format(path=path))
LOGGER.error('Expected {name}'.format(**expected_definition))
LOGGER.error('Actual {name}'.format(**actual_definition))
raise e
def test_relative_path(self):
"""Test we calculate the relative paths correctly when saving scenario.
"""
result, message = setup_scenario(
self.DOCK,
hazard='Classified Flood',
exposure='Population')
self.assertTrue(result, message)
fake_dir = standard_data_path()
scenario_file = unique_filename(
prefix='scenarioTest', suffix='.txt', dir=fake_dir)
exposure_layer = self.DOCK.get_exposure_layer().publicSource()
hazard_layer = self.DOCK.get_hazard_layer().publicSource()
relative_exposure = self.save_scenario_dialog.relative_path(
scenario_file, exposure_layer)
relative_hazard = self.save_scenario_dialog.relative_path(
scenario_file, hazard_layer)
if 'win32' in sys.platform:
# windows
self.assertEqual(
'exposure\\pop_binary_raster_20_20.asc',
relative_exposure)
self.assertEqual(
'hazard\\classified_flood_20_20.asc',
relative_hazard)
else:
self.assertEqual(
'exposure/pop_binary_raster_20_20.asc',
relative_exposure)
self.assertEqual(
'hazard/classified_flood_20_20.asc',
relative_hazard)
def test_write_read_iso_19115_metadata(self):
"""Test for write_read_iso_19115_metadata."""
keywords = {
# 'date': '26-03-2015 14:03',
'exposure': 'structure',
'keyword_version': inasafe_keyword_version,
'layer_geometry': 'polygon',
'layer_mode': 'classified',
'layer_purpose': 'exposure',
'license': 'Open Data Commons Open Database License (ODbL)',
'source': 'OpenStreetMap - www.openstreetmap.org',
'title': 'Buildings',
'inasafe_fields': {
'youth_count_field': [
'POP_F_0-4', 'POP_F_5-6', 'POP_F_7-12',
]
}
}
layer = clone_shp_layer(
name='buildings',
include_keywords=False,
source_directory=standard_data_path('exposure'))
write_iso19115_metadata(layer.source(), keywords)
read_metadata = read_iso19115_metadata(layer.source())
self.assertDictEqual(keywords, read_metadata)
def test_polygonize(self):
"""Test if we can polygonize a raster using GDAL."""
raster_path = standard_data_path(
'hazard', 'classified_flood_20_20.asc')
driver = ogr.GetDriverByName('ESRI Shapefile')
expected_field_name = 'my_field'
shapefile = polygonize(raster_path, 1, expected_field_name)
data_source = driver.Open(shapefile, 0)
layer = data_source.GetLayer()
layer_definition = layer.GetLayerDefn()
field_name = layer_definition.GetFieldDefn(0).GetName()
self.assertEqual(field_name, expected_field_name)
self.assertEquals(layer.GetFeatureCount(), 400)
layer.SetAttributeFilter('%s = 1' % expected_field_name)
self.assertEquals(layer.GetFeatureCount(), 133)
layer.SetAttributeFilter('%s = 2' % expected_field_name)
self.assertEquals(layer.GetFeatureCount(), 134)
layer.SetAttributeFilter('%s = 3' % expected_field_name)
self.assertEquals(layer.GetFeatureCount(), 133)
def test_layer_definition_type(self):
"""Test layer_definition_type method.
.. versionadded:: 4.0
"""
layer_paths = self.layer_paths_list
expected_definitions = [
hazard_generic,
hazard_earthquake,
hazard_tsunami,
hazard_cyclone,
exposure_structure,
exposure_structure,
exposure_population,
exposure_road,
]
for layer_path, expected_definition in zip(
layer_paths, expected_definitions):
path = standard_data_path(*layer_path)
layer, _ = load_layer(path)
actual_definition = layer_definition_type(layer)
try:
self.assertEqual(expected_definition, actual_definition)
except Exception as e:
LOGGER.error('Layer path: {path}'.format(
path=path))
LOGGER.error('Expected {name}'.format(
**expected_definition))
LOGGER.error('Actual {name}'.format(
**actual_definition))
raise e
def test_read_iso19115_metadata(self):
"""Test for read_iso19115_metadata method."""
exposure_layer = clone_shp_layer(
name='buildings',
include_keywords=False,
source_directory=standard_data_path('exposure'))
keywords = {
# 'date': '26-03-2015 14:03',
'exposure': 'structure',
'keyword_version': inasafe_keyword_version,
'layer_geometry': 'polygon',
'layer_mode': 'classified',
'layer_purpose': 'exposure',
'license': 'Open Data Commons Open Database License (ODbL)',
'source': 'OpenStreetMap - www.openstreetmap.org',
'title': 'Buildings'
}
write_iso19115_metadata(exposure_layer.source(), keywords)
read_metadata = read_iso19115_metadata(exposure_layer.source())
for key in set(keywords.keys()) & set(read_metadata.keys()):
self.assertEqual(read_metadata[key], keywords[key])
for key in set(keywords.keys()) - set(read_metadata.keys()):
message = 'key %s is not found in ISO metadata' % key
self.assertEqual(read_metadata[key], keywords[key], message)
for key in set(read_metadata.keys()) - set(keywords.keys()):
message = 'key %s is not found in old keywords' % key
self.assertEqual(read_metadata[key], keywords[key], message)