def test_clip_raster(self):
"""Raster layers can be clipped."""
# Create a raster layer
layer_name = 'shake'
raster_layer = QgsRasterLayer(RASTERPATH, layer_name)
message = (
'Did not find layer "%s" in path "%s"' % (layer_name, RASTERPATH))
assert raster_layer is not None, message
# Create a bounding box
bounding_box = [97, -3, 104, 1]
# Clip the vector to the bbox
result = clip_layer(raster_layer, bounding_box)
# Check the output is valid
assert os.path.exists(result.source())
# Clip and give a desired resolution for the output
# big pixel size
size = 0.05
result = clip_layer(raster_layer, bounding_box, size)
new_raster_layer = QgsRasterLayer(result.source(), layer_name)
assert new_raster_layer.isValid(), 'Resampled raster is not valid'
message = (
'Resampled raster has incorrect pixel size. Expected: %5f, '
'Actual: %5f' % (size, new_raster_layer.rasterUnitsPerPixelX()))
assert new_raster_layer.rasterUnitsPerPixelX() == size, message
def test_clip_raster(self):
"""Raster layers can be clipped."""
# Create a raster layer
layer_name = 'shake'
raster_layer = QgsRasterLayer(RASTERPATH, layer_name)
message = ('Did not find layer "%s" in path "%s"' %
(layer_name, RASTERPATH))
assert raster_layer is not None, message
# Create a bounding box
bounding_box = [97, -3, 104, 1]
# Clip the vector to the bbox
result = clip_layer(raster_layer, bounding_box)
# Check the output is valid
assert os.path.exists(result.source())
# Clip and give a desired resolution for the output
# big pixel size
size = 0.05
result = clip_layer(raster_layer, bounding_box, size)
new_raster_layer = QgsRasterLayer(result.source(), layer_name)
assert new_raster_layer.isValid(), 'Resampled raster is not valid'
message = ('Resampled raster has incorrect pixel size. Expected: %5f, '
'Actual: %5f' %
(size, new_raster_layer.rasterUnitsPerPixelX()))
assert new_raster_layer.rasterUnitsPerPixelX() == size, message
def clip_layers(first_layer_path, second_layer_path):
"""Clip and resample layers with the reference to the first layer.
:param first_layer_path: Path to the first layer path.
:type first_layer_path: str
:param second_layer_path: Path to the second layer path.
:type second_layer_path: str
:return: Path to the clipped datasets (clipped 1st layer, clipped 2nd
layer).
:rtype: tuple(str, str)
:raise
FileNotFoundError
"""
base_name, _ = os.path.splitext(first_layer_path)
# noinspection PyCallingNonCallable
first_layer = QgsRasterLayer(first_layer_path, base_name)
base_name, _ = os.path.splitext(second_layer_path)
# noinspection PyCallingNonCallable
second_layer = QgsRasterLayer(second_layer_path, base_name)
# Get the firs_layer extents as an array in EPSG:4326
first_layer_geo_extent = extent_to_geoarray(
first_layer.extent(),
first_layer.crs())
first_layer_geo_cell_size, _ = get_wgs84_resolution(first_layer)
second_layer_geo_cell_size, _ = get_wgs84_resolution(second_layer)
if first_layer_geo_cell_size < second_layer_geo_cell_size:
cell_size = first_layer_geo_cell_size
else:
cell_size = second_layer_geo_cell_size
clipped_first_layer = clip_layer(
layer=first_layer,
extent=first_layer_geo_extent,
cell_size=cell_size)
clipped_second_layer = clip_layer(
layer=second_layer,
extent=first_layer_geo_extent,
cell_size=cell_size)
return clipped_first_layer, clipped_second_layer
def clip_layers(first_layer_path, second_layer_path):
"""Clip and resample layers with the reference to the first layer.
:param first_layer_path: Path to the first layer path.
:type first_layer_path: str
:param second_layer_path: Path to the second layer path.
:type second_layer_path: str
:return: Path to the clipped datasets (clipped 1st layer, clipped 2nd
layer).
:rtype: tuple(str, str)
:raise
FileNotFoundError
"""
base_name, _ = os.path.splitext(first_layer_path)
# noinspection PyCallingNonCallable
first_layer = QgsRasterLayer(first_layer_path, base_name)
base_name, _ = os.path.splitext(second_layer_path)
# noinspection PyCallingNonCallable
second_layer = QgsRasterLayer(second_layer_path, base_name)
# Get the firs_layer extents as an array in EPSG:4326
first_layer_geo_extent = extent_to_geoarray(
first_layer.extent(),
first_layer.crs())
first_layer_geo_cell_size, _ = get_wgs84_resolution(first_layer)
second_layer_geo_cell_size, _ = get_wgs84_resolution(second_layer)
if first_layer_geo_cell_size < second_layer_geo_cell_size:
cell_size = first_layer_geo_cell_size
else:
cell_size = second_layer_geo_cell_size
clipped_first_layer = clip_layer(
layer=first_layer,
extent=first_layer_geo_extent,
cell_size=cell_size)
clipped_second_layer = clip_layer(
layer=second_layer,
extent=first_layer_geo_extent,
cell_size=cell_size)
return clipped_first_layer, clipped_second_layer
def test_raster_scaling_projected(self):
"""Attempt to scale projected density raster layers raise exception.
Automatic scaling when resampling density data
does not currently work for projected layers. See issue #123.
For the time being this test checks that an exception is raised
when scaling is attempted on projected layers.
When we resolve issue #123, this test should be rewritten.
"""
test_filename = 'Population_Jakarta_UTM48N.tif'
raster_path = ('%s/%s' % (TESTDATA, test_filename))
# Get reference values
safe_layer = read_safe_layer(raster_path)
min_value, max_value = safe_layer.get_extrema()
native_resolution = safe_layer.get_resolution()
print min_value, max_value
print native_resolution
# Define bounding box in EPSG:4326
bounding_box = [106.61, -6.38, 107.05, -6.07]
resolutions = [0.02, 0.01, 0.005, 0.002, 0.001]
# Test for a range of resolutions
for resolution in resolutions:
# Clip the raster to the bbox
extra_keywords = {'resolution': native_resolution}
raster_layer = QgsRasterLayer(raster_path, 'xxx')
try:
clip_layer(
raster_layer,
bounding_box,
resolution,
extra_keywords=extra_keywords
)
except InvalidProjectionError:
pass
else:
message = 'Should have raised InvalidProjectionError'
raise Exception(message)
def calculate_specified_impact(self, function_id, hazard_layer,
exposure_layer, output_basename):
LOGGER.info('Calculate %s' % function_id)
if_manager = ImpactFunctionManager()
impact_function = if_manager.get_instance(function_id)
impact_function.hazard = hazard_layer
extent = impact_function.hazard.extent()
hazard_extent = [
extent.xMinimum(),
extent.yMinimum(),
extent.xMaximum(),
extent.yMaximum()
]
# clip exposure if required (if it is too large)
if isinstance(exposure_layer, QgsRasterLayer):
cell_size, _ = get_wgs84_resolution(exposure_layer)
else:
cell_size = None
clipped_exposure = clip_layer(layer=exposure_layer,
extent=hazard_extent,
cell_size=cell_size)
exposure_layer = clipped_exposure
impact_function.exposure = exposure_layer
impact_function.requested_extent = hazard_extent
impact_function.requested_extent_crs = impact_function.hazard.crs()
impact_function.force_memory = True
try:
impact_function.run_analysis()
impact_layer = impact_function.impact
if impact_layer:
self.set_impact_style(impact_layer)
# copy results of impact to report_path directory
self.copy_layer(impact_layer, output_basename)
except ZeroImpactException as e:
# in case zero impact, just return
LOGGER.info('No impact detected')
LOGGER.info(e.message)
return False
except Exception as e:
LOGGER.info('Calculation error')
LOGGER.exception(e)
return False
LOGGER.info('Calculation completed.')
return True
def test_vector_projections(self):
"""Test that vector input data is reprojected properly during clip."""
# Input data is OSM in GOOGLE CRS
# We are reprojecting to GEO and expecting the output shp to be in GEO
# see https://github.com/AIFDR/inasafe/issues/119
# and https://github.com/AIFDR/inasafe/issues/95
vector_layer = QgsVectorLayer(VECTOR_PATH2, 'OSM Buildings', 'ogr')
message = 'Failed to load osm buildings'
assert vector_layer is not None, message
assert vector_layer.isValid()
set_canvas_crs(GEOCRS, True)
set_jakarta_extent()
clip_rectangle = [106.52, -6.38, 107.14, -6.07]
# Clip the vector to the bbox
result = clip_layer(vector_layer, clip_rectangle)
assert (os.path.exists(result.source()))
def test_clip_one_pixel(self):
"""Test for clipping less than one pixel."""
# Create a raster layer
raster_path = os.path.join(EXPDATA, 'glp10ag.asc')
title = 'people'
raster_layer = QgsRasterLayer(raster_path, title)
# Create very small bounding box
small_bounding_box = [100.3430, -0.9089, 100.3588, -0.9022]
# Clip the raster to the bbox
try:
_ = clip_layer(raster_layer, small_bounding_box)
except CallGDALError:
pass
except Exception, e:
raise Exception('Exception is not expected, %s' % e)
def test_vector_projections(self):
"""Test that vector input data is reprojected properly during clip."""
# Input data is OSM in GOOGLE CRS
# We are reprojecting to GEO and expecting the output shp to be in GEO
# see https://github.com/AIFDR/inasafe/issues/119
# and https://github.com/AIFDR/inasafe/issues/95
vector_layer = QgsVectorLayer(
VECTOR_PATH2, 'OSM Buildings', 'ogr')
message = 'Failed to load osm buildings'
assert vector_layer is not None, message
assert vector_layer.isValid()
set_canvas_crs(GEOCRS, True)
set_jakarta_extent()
clip_rectangle = [106.52, -6.38, 107.14, -6.07]
# Clip the vector to the bbox
result = clip_layer(vector_layer, clip_rectangle)
assert(os.path.exists(result.source()))
def test_clip_one_pixel(self):
"""Test for clipping less than one pixel."""
# Create a raster layer
raster_path = os.path.join(EXPDATA, 'glp10ag.asc')
title = 'people'
raster_layer = QgsRasterLayer(raster_path, title)
# Create very small bounding box
small_bounding_box = [100.3430, -0.9089, 100.3588, -0.9022]
# Clip the raster to the bbox
try:
_ = clip_layer(raster_layer, small_bounding_box)
except CallGDALError:
pass
except Exception, e:
raise Exception('Exception is not expected, %s' % e)
def test_clip_vector_hard(self):
"""Vector layers can be hard clipped.
Hard clipping will remove any dangling, non intersecting elements.
"""
vector_layer = QgsVectorLayer(VECTOR_PATH3, 'OSM Buildings', 'ogr')
message = 'Failed to load osm buildings'
assert vector_layer is not None, message
assert vector_layer.isValid()
set_canvas_crs(GEOCRS, True)
set_jakarta_extent()
clip_rectangle = [106.8218, -6.1842, 106.8232, -6.1830]
# Clip the vector to the bbox
result = clip_layer(vector_layer, clip_rectangle, hard_clip_flag=True)
# Check the output is valid
assert (os.path.exists(result.source()))
def test_clip_vector(self):
"""Vector layers can be clipped."""
# Create a vector layer
layer_name = 'padang'
vector_layer = QgsVectorLayer(VECTOR_PATH, layer_name, 'ogr')
message = ('Did not find layer "%s" in path "%s"' %
(layer_name, VECTOR_PATH))
assert vector_layer is not None, message
assert vector_layer.isValid()
# Create a bounding box
bounding_box = [100.03, -1.14, 100.81, -0.73]
# Clip the vector to the bbox
result = clip_layer(vector_layer, bounding_box)
# Check the output is valid
assert (os.path.exists(result.source()))
def test_clip_vector_hard(self):
"""Vector layers can be hard clipped.
Hard clipping will remove any dangling, non intersecting elements.
"""
vector_layer = QgsVectorLayer(
VECTOR_PATH3, 'OSM Buildings', 'ogr')
message = 'Failed to load osm buildings'
assert vector_layer is not None, message
assert vector_layer.isValid()
set_canvas_crs(GEOCRS, True)
set_jakarta_extent()
clip_rectangle = [106.8218, -6.1842, 106.8232, -6.1830]
# Clip the vector to the bbox
result = clip_layer(vector_layer, clip_rectangle, hard_clip_flag=True)
# Check the output is valid
assert(os.path.exists(result.source()))
def test_clip_vector(self):
"""Vector layers can be clipped."""
# Create a vector layer
layer_name = 'padang'
vector_layer = QgsVectorLayer(VECTOR_PATH, layer_name, 'ogr')
message = (
'Did not find layer "%s" in path "%s"' % (layer_name, VECTOR_PATH))
assert vector_layer is not None, message
assert vector_layer.isValid()
# Create a bounding box
bounding_box = [100.03, -1.14, 100.81, -0.73]
# Clip the vector to the bbox
result = clip_layer(vector_layer, bounding_box)
# Check the output is valid
assert(os.path.exists(result.source()))
def calculate_specified_impact(self, function_id, hazard_layer, exposure_layer, output_basename):
LOGGER.info("Calculate %s" % function_id)
if_manager = ImpactFunctionManager()
impact_function = if_manager.get_instance(function_id)
impact_function.hazard = hazard_layer
extent = impact_function.hazard.extent()
hazard_extent = [extent.xMinimum(), extent.yMinimum(), extent.xMaximum(), extent.yMaximum()]
# clip exposure if required (if it is too large)
if isinstance(exposure_layer, QgsRasterLayer):
cell_size, _ = get_wgs84_resolution(exposure_layer)
else:
cell_size = None
clipped_exposure = clip_layer(layer=exposure_layer, extent=hazard_extent, cell_size=cell_size)
exposure_layer = clipped_exposure
impact_function.exposure = exposure_layer
impact_function.requested_extent = hazard_extent
impact_function.requested_extent_crs = impact_function.hazard.crs()
impact_function.force_memory = True
try:
impact_function.run_analysis()
impact_layer = impact_function.impact
if impact_layer:
self.set_impact_style(impact_layer)
# copy results of impact to report_path directory
self.copy_layer(impact_layer, output_basename)
except ZeroImpactException as e:
# in case zero impact, just return
LOGGER.info("No impact detected")
LOGGER.info(e.message)
return False
except Exception as e:
LOGGER.info("Calculation error")
LOGGER.exception(e)
return False
LOGGER.info("Calculation completed.")
return True
def test_clip_raster_with_no_extension(self):
"""Test we can clip a raster with no extension - see #659."""
# Create a raster layer
source_file = test_data_path('other', 'tenbytenraster.asc')
test_file = unique_filename(prefix='tenbytenraster-')
shutil.copyfile(source_file, test_file)
# Create a keywords file
source_file = test_data_path('other', 'tenbytenraster.keywords')
keywords_file = test_file + '.keywords'
shutil.copyfile(source_file, keywords_file)
# Test the raster layer
raster_layer = QgsRasterLayer(test_file, 'ten by ten')
# Create a bounding box
rectangle = [1535380, 5083260, 1535380 + 40, 5083260 + 40]
# Clip the vector to the bounding box
result = clip_layer(raster_layer, rectangle)
# Check the output is valid
assert os.path.exists(result.source())
def test_clip_raster_with_no_extension(self):
"""Test we can clip a raster with no extension - see #659."""
# Create a raster layer
source_file = standard_data_path('other', 'tenbytenraster.asc')
test_file = unique_filename(prefix='tenbytenraster-')
shutil.copyfile(source_file, test_file)
# Create a keywords file
source_file = standard_data_path('other', 'tenbytenraster.xml')
keywords_file = test_file + '.xml'
shutil.copyfile(source_file, keywords_file)
# Test the raster layer
raster_layer = QgsRasterLayer(test_file, 'ten by ten')
# Create a bounding box
rectangle = [1535380, 5083260, 1535380 + 40, 5083260 + 40]
# Clip the vector to the bounding box
result = clip_layer(raster_layer, rectangle)
# Check the output is valid
assert os.path.exists(result.source())
def test_clip_vector_with_unicode(self):
"""Test clipping vector layer with unicode attribute in feature.
This issue is described at Github #2262 and #2233
TODO: FIXME:
This is a hacky fix. See above ticket for further explanation.
To fix this, we should be able to specify UTF-8 encoding for
QgsVectorFileWriter
"""
# this layer contains unicode values in the
layer_path = standard_data_path('boundaries',
'district_osm_jakarta.shp')
vector_layer = QgsVectorLayer(layer_path, 'District Jakarta', 'ogr')
keyword_io = KeywordIO()
aggregation_keyword = get_defaults()['AGGR_ATTR_KEY']
aggregation_attribute = keyword_io.read_keywords(
vector_layer, keyword=aggregation_keyword)
source_extent = vector_layer.extent()
extent = [
source_extent.xMinimum(),
source_extent.yMinimum(),
source_extent.xMaximum(),
source_extent.yMaximum()
]
clipped_layer = clip_layer(layer=vector_layer,
extent=extent,
explode_flag=True,
explode_attribute=aggregation_attribute)
# cross check vector layer attribute in clipped layer
vector_values = []
for f in vector_layer.getFeatures():
vector_values.append(f.attributes())
clipped_values = []
for f in clipped_layer.getFeatures():
clipped_values.append(f.attributes())
for val in clipped_values:
self.assertIn(val, vector_values)
def test_clip_vector_with_unicode(self):
"""Test clipping vector layer with unicode attribute in feature.
This issue is described at Github #2262 and #2233
TODO: FIXME:
This is a hacky fix. See above ticket for further explanation.
To fix this, we should be able to specify UTF-8 encoding for
QgsVectorFileWriter
"""
# this layer contains unicode values in the
layer_path = standard_data_path(
'boundaries', 'district_osm_jakarta.shp')
vector_layer = QgsVectorLayer(layer_path, 'District Jakarta', 'ogr')
keyword_io = KeywordIO()
aggregation_keyword = get_defaults()['AGGR_ATTR_KEY']
aggregation_attribute = keyword_io.read_keywords(
vector_layer, keyword=aggregation_keyword)
source_extent = vector_layer.extent()
extent = [source_extent.xMinimum(), source_extent.yMinimum(),
source_extent.xMaximum(), source_extent.yMaximum()]
clipped_layer = clip_layer(
layer=vector_layer,
extent=extent,
explode_flag=True,
explode_attribute=aggregation_attribute)
# cross check vector layer attribute in clipped layer
vector_values = []
for f in vector_layer.getFeatures():
vector_values.append(f.attributes())
clipped_values = []
for f in clipped_layer.getFeatures():
clipped_values.append(f.attributes())
for val in clipped_values:
self.assertIn(val, vector_values)
# Clip the raster to the bbox
try:
_ = clip_layer(raster_layer, small_bounding_box)
except CallGDALError:
pass
except Exception, e:
raise Exception('Exception is not expected, %s' % e)
else:
message = "Failed, does not raise exception"
raise Exception(message)
# Create not very small bounding box
not_small_bounding_box = [100.3430, -0.9089, 101.3588, -1.9022]
# Clip the raster to the bbox
result = clip_layer(raster_layer, not_small_bounding_box)
assert result is not None, 'Should be a success clipping'
def test_invalid_filenames_caught(self):
"""Invalid filenames raise appropriate exceptions.
Wrote this test because test_clipBoth raised the wrong error
when file was missing. Instead of reporting that, it gave
Western boundary must be less than eastern. I got [0.0, 0.0, 0.0, 0.0]
See issue #170
"""
# Try to create a vector layer from non-existing filename
name = 'stnhaoeu_78oeukqjkrcgA'
path = 'OEk_tnshoeu_439_kstnhoe'
def test_clip_both(self):
"""Raster and Vector layers can be clipped."""
# Create a vector layer
layer_name = 'padang'
vector_layer = QgsVectorLayer(VECTOR_PATH, layer_name, 'ogr')
message = ('Did not find layer "%s" in path "%s"' %
(layer_name, VECTOR_PATH))
assert vector_layer.isValid(), message
# Create a raster layer
layer_name = 'shake'
raster_layer = QgsRasterLayer(RASTERPATH, layer_name)
message = ('Did not find layer "%s" in path "%s"' %
(layer_name, RASTERPATH))
assert raster_layer.isValid(), message
# Create a bounding box
view_port_geo_extent = [99.53, -1.22, 101.20, -0.36]
# Get the Hazard extents as an array in EPSG:4326
hazard_geo_extent = [
raster_layer.extent().xMinimum(),
raster_layer.extent().yMinimum(),
raster_layer.extent().xMaximum(),
raster_layer.extent().yMaximum()
]
# Get the Exposure extents as an array in EPSG:4326
exposure_geo_extent = [
vector_layer.extent().xMinimum(),
vector_layer.extent().yMinimum(),
vector_layer.extent().xMaximum(),
vector_layer.extent().yMaximum()
]
# Now work out the optimal extent between the two layers and
# the current view extent. The optimal extent is the intersection
# between the two layers and the viewport.
# Extent is returned as an array [xmin,ymin,xmax,ymax]
geo_extent = get_optimal_extent(hazard_geo_extent, exposure_geo_extent,
view_port_geo_extent)
# Clip the vector to the bbox
result = clip_layer(vector_layer, geo_extent)
# Check the output is valid
assert os.path.exists(result.source())
read_safe_layer(result.source())
# Clip the raster to the bbox
result = clip_layer(raster_layer, geo_extent)
# Check the output is valid
assert os.path.exists(result.source())
read_safe_layer(result.source())
# -------------------------------
# Check the extra keywords option
# -------------------------------
# Clip the vector to the bbox
result = clip_layer(vector_layer,
geo_extent,
extra_keywords={'title': 'piggy'})
# Check the output is valid
assert os.path.exists(result.source())
safe_layer = read_safe_layer(result.source())
keywords = safe_layer.get_keywords()
# message = 'Extra keyword was not found in %s: %s' % (myResult,
# keywords)
assert keywords['title'] == 'piggy'
# Clip the raster to the bbox
result = clip_layer(raster_layer,
geo_extent,
extra_keywords={'email': 'animal'})
# Check the output is valid
assert os.path.exists(result.source())
safe_layer = read_safe_layer(result.source())
keywords = safe_layer.get_keywords()
message = ('Extra keyword was not found in %s: %s' %
(result.source(), keywords))
assert keywords['email'] == 'animal', message
def test_raster_scaling(self):
"""Raster layers can be scaled when resampled.
This is a test for ticket #52
Native test .asc data has
Population_Jakarta_geographic.asc
ncols 638
nrows 649
cellsize 0.00045228819716044
Population_2010.asc
ncols 5525
nrows 2050
cellsize 0.0083333333333333
Scaling is necessary for raster data that represents density
such as population per km^2
"""
filenames = [
'Population_Jakarta_geographic.asc', 'Population_2010.asc'
]
for filename in filenames:
raster_path = ('%s/%s' % (TESTDATA, filename))
# Get reference values
safe_layer = read_safe_layer(raster_path)
min_value, max_value = safe_layer.get_extrema()
del max_value
del min_value
native_resolution = safe_layer.get_resolution()
# Get the Hazard extents as an array in EPSG:4326
bounding_box = safe_layer.get_bounding_box()
resolutions = [
0.02,
0.01,
0.005,
0.002,
0.001,
0.0005, # Coarser
0.0002 # Finer
]
# Test for a range of resolutions
for resolution in resolutions: # Finer
# To save time only do two resolutions for the
# large population set
if filename.startswith('Population_2010'):
if resolution > 0.01 or resolution < 0.005:
break
# Clip the raster to the bbox
extra_keywords = {'resolution': native_resolution}
raster_layer = QgsRasterLayer(raster_path, 'xxx')
result = clip_layer(raster_layer,
bounding_box,
resolution,
extra_keywords=extra_keywords)
safe_layer = read_safe_layer(result.source())
native_data = safe_layer.get_data(scaling=False)
scaled_data = safe_layer.get_data(scaling=True)
sigma_value = (safe_layer.get_resolution()[0] /
native_resolution[0])**2
# Compare extrema
expected_scaled_max = sigma_value * numpy.nanmax(native_data)
message = ('Resampled raster was not rescaled correctly: '
'max(scaled_data) was %f but expected %f' %
(numpy.nanmax(scaled_data), expected_scaled_max))
# FIXME (Ole): The rtol used to be 1.0e-8 -
# now it has to be 1.0e-6, otherwise we get
# max(scaled_data) was 12083021.000000 but
# expected 12083020.414316
# Is something being rounded to the nearest
# integer?
assert numpy.allclose(expected_scaled_max,
numpy.nanmax(scaled_data),
rtol=1.0e-6,
atol=1.0e-8), message
expected_scaled_min = sigma_value * numpy.nanmin(native_data)
message = ('Resampled raster was not rescaled correctly: '
'min(scaled_data) was %f but expected %f' %
(numpy.nanmin(scaled_data), expected_scaled_min))
assert numpy.allclose(expected_scaled_min,
numpy.nanmin(scaled_data),
rtol=1.0e-8,
atol=1.0e-12), message
# Compare element-wise
message = 'Resampled raster was not rescaled correctly'
assert nan_allclose(native_data * sigma_value,
scaled_data,
rtol=1.0e-8,
atol=1.0e-8), message
# Check that it also works with manual scaling
manual_data = safe_layer.get_data(scaling=sigma_value)
message = 'Resampled raster was not rescaled correctly'
assert nan_allclose(manual_data,
scaled_data,
rtol=1.0e-8,
atol=1.0e-8), message
# Check that an exception is raised for bad arguments
try:
safe_layer.get_data(scaling='bad')
except GetDataError:
pass
else:
message = 'String argument should have raised exception'
raise Exception(message)
try:
safe_layer.get_data(scaling='(1, 3)')
except GetDataError:
pass
else:
message = 'Tuple argument should have raised exception'
raise Exception(message)
# Check None option without keyword datatype == 'density'
safe_layer.keywords['datatype'] = 'undefined'
unscaled_data = safe_layer.get_data(scaling=None)
message = 'Data should not have changed'
assert nan_allclose(native_data,
unscaled_data,
rtol=1.0e-12,
atol=1.0e-12), message
# Try with None and density keyword
safe_layer.keywords['datatype'] = 'density'
unscaled_data = safe_layer.get_data(scaling=None)
message = 'Resampled raster was not rescaled correctly'
assert nan_allclose(scaled_data,
unscaled_data,
rtol=1.0e-12,
atol=1.0e-12), message
safe_layer.keywords['datatype'] = 'counts'
unscaled_data = safe_layer.get_data(scaling=None)
message = 'Data should not have changed'
assert nan_allclose(native_data,
unscaled_data,
rtol=1.0e-12,
atol=1.0e-12), message
# Clip the raster to the bbox
try:
_ = clip_layer(raster_layer, small_bounding_box)
except CallGDALError:
pass
except Exception, e:
raise Exception('Exception is not expected, %s' % e)
else:
message = "Failed, does not raise exception"
raise Exception(message)
# Create not very small bounding box
not_small_bounding_box = [100.3430, -0.9089, 101.3588, -1.9022]
# Clip the raster to the bbox
result = clip_layer(raster_layer, not_small_bounding_box)
assert result is not None, 'Should be a success clipping'
def test_invalid_filenames_caught(self):
"""Invalid filenames raise appropriate exceptions.
Wrote this test because test_clipBoth raised the wrong error
when file was missing. Instead of reporting that, it gave
Western boundary must be less than eastern. I got [0.0, 0.0, 0.0, 0.0]
See issue #170
"""
# Try to create a vector layer from non-existing filename
name = 'stnhaoeu_78oeukqjkrcgA'
path = 'OEk_tnshoeu_439_kstnhoe'
def test_raster_scaling(self):
"""Raster layers can be scaled when resampled.
This is a test for ticket #52
Native test .asc data has
Population_Jakarta_geographic.asc
ncols 638
nrows 649
cellsize 0.00045228819716044
Population_2010.asc
ncols 5525
nrows 2050
cellsize 0.0083333333333333
Scaling is necessary for raster data that represents density
such as population per km^2
"""
filenames = [
'Population_Jakarta_geographic.asc',
'Population_2010.asc'
]
for filename in filenames:
raster_path = ('%s/%s' % (TESTDATA, filename))
# Get reference values
safe_layer = read_safe_layer(raster_path)
min_value, max_value = safe_layer.get_extrema()
del max_value
del min_value
native_resolution = safe_layer.get_resolution()
# Get the Hazard extents as an array in EPSG:4326
bounding_box = safe_layer.get_bounding_box()
resolutions = [
0.02,
0.01,
0.005,
0.002,
0.001,
0.0005, # Coarser
0.0002 # Finer
]
# Test for a range of resolutions
for resolution in resolutions: # Finer
# To save time only do two resolutions for the
# large population set
if filename.startswith('Population_2010'):
if resolution > 0.01 or resolution < 0.005:
break
# Clip the raster to the bbox
extra_keywords = {'resolution': native_resolution}
raster_layer = QgsRasterLayer(raster_path, 'xxx')
result = clip_layer(
raster_layer,
bounding_box,
resolution,
extra_keywords=extra_keywords
)
safe_layer = read_safe_layer(result.source())
native_data = safe_layer.get_data(scaling=False)
scaled_data = safe_layer.get_data(scaling=True)
sigma_value = (safe_layer.get_resolution()[0] /
native_resolution[0]) ** 2
# Compare extrema
expected_scaled_max = sigma_value * numpy.nanmax(native_data)
message = (
'Resampled raster was not rescaled correctly: '
'max(scaled_data) was %f but expected %f' %
(numpy.nanmax(scaled_data), expected_scaled_max))
# FIXME (Ole): The rtol used to be 1.0e-8 -
# now it has to be 1.0e-6, otherwise we get
# max(scaled_data) was 12083021.000000 but
# expected 12083020.414316
# Is something being rounded to the nearest
# integer?
assert numpy.allclose(expected_scaled_max,
numpy.nanmax(scaled_data),
rtol=1.0e-6, atol=1.0e-8), message
expected_scaled_min = sigma_value * numpy.nanmin(native_data)
message = (
'Resampled raster was not rescaled correctly: '
'min(scaled_data) was %f but expected %f' %
(numpy.nanmin(scaled_data), expected_scaled_min))
assert numpy.allclose(expected_scaled_min,
numpy.nanmin(scaled_data),
rtol=1.0e-8, atol=1.0e-12), message
# Compare element-wise
message = 'Resampled raster was not rescaled correctly'
assert nan_allclose(native_data * sigma_value, scaled_data,
rtol=1.0e-8, atol=1.0e-8), message
# Check that it also works with manual scaling
manual_data = safe_layer.get_data(scaling=sigma_value)
message = 'Resampled raster was not rescaled correctly'
assert nan_allclose(manual_data, scaled_data,
rtol=1.0e-8, atol=1.0e-8), message
# Check that an exception is raised for bad arguments
try:
safe_layer.get_data(scaling='bad')
except GetDataError:
pass
else:
message = 'String argument should have raised exception'
raise Exception(message)
try:
safe_layer.get_data(scaling='(1, 3)')
except GetDataError:
pass
else:
message = 'Tuple argument should have raised exception'
raise Exception(message)
# Check None option without keyword datatype == 'density'
safe_layer.keywords['datatype'] = 'undefined'
unscaled_data = safe_layer.get_data(scaling=None)
message = 'Data should not have changed'
assert nan_allclose(native_data, unscaled_data,
rtol=1.0e-12, atol=1.0e-12), message
# Try with None and density keyword
safe_layer.keywords['datatype'] = 'density'
unscaled_data = safe_layer.get_data(scaling=None)
message = 'Resampled raster was not rescaled correctly'
assert nan_allclose(scaled_data, unscaled_data,
rtol=1.0e-12, atol=1.0e-12), message
safe_layer.keywords['datatype'] = 'counts'
unscaled_data = safe_layer.get_data(scaling=None)
message = 'Data should not have changed'
assert nan_allclose(native_data, unscaled_data,
rtol=1.0e-12, atol=1.0e-12), message
def test_clip_both(self):
"""Raster and Vector layers can be clipped."""
# Create a vector layer
layer_name = 'padang'
vector_layer = QgsVectorLayer(VECTOR_PATH, layer_name, 'ogr')
message = (
'Did not find layer "%s" in path "%s"' % (layer_name, VECTOR_PATH))
assert vector_layer.isValid(), message
# Create a raster layer
layer_name = 'shake'
raster_layer = QgsRasterLayer(RASTERPATH, layer_name)
message = (
'Did not find layer "%s" in path "%s"' % (layer_name, RASTERPATH))
assert raster_layer.isValid(), message
# Create a bounding box
view_port_geo_extent = [99.53, -1.22, 101.20, -0.36]
# Get the Hazard extents as an array in EPSG:4326
hazard_geo_extent = [
raster_layer.extent().xMinimum(),
raster_layer.extent().yMinimum(),
raster_layer.extent().xMaximum(),
raster_layer.extent().yMaximum()
]
# Get the Exposure extents as an array in EPSG:4326
exposure_geo_extent = [
vector_layer.extent().xMinimum(),
vector_layer.extent().yMinimum(),
vector_layer.extent().xMaximum(),
vector_layer.extent().yMaximum()
]
# Now work out the optimal extent between the two layers and
# the current view extent. The optimal extent is the intersection
# between the two layers and the viewport.
# Extent is returned as an array [xmin,ymin,xmax,ymax]
geo_extent = get_optimal_extent(
hazard_geo_extent, exposure_geo_extent, view_port_geo_extent)
# Clip the vector to the bbox
result = clip_layer(vector_layer, geo_extent)
# Check the output is valid
assert os.path.exists(result.source())
read_safe_layer(result.source())
# Clip the raster to the bbox
result = clip_layer(raster_layer, geo_extent)
# Check the output is valid
assert os.path.exists(result.source())
read_safe_layer(result.source())
# -------------------------------
# Check the extra keywords option
# -------------------------------
# Clip the vector to the bbox
result = clip_layer(
vector_layer, geo_extent, extra_keywords={'title': 'piggy'})
# Check the output is valid
assert os.path.exists(result.source())
safe_layer = read_safe_layer(result.source())
keywords = safe_layer.get_keywords()
# message = 'Extra keyword was not found in %s: %s' % (myResult,
# keywords)
assert keywords['title'] == 'piggy'
# Clip the raster to the bbox
result = clip_layer(
raster_layer, geo_extent, extra_keywords={'email': 'animal'})
# Check the output is valid
assert os.path.exists(result.source())
safe_layer = read_safe_layer(result.source())
keywords = safe_layer.get_keywords()
message = ('Extra keyword was not found in %s: %s' %
(result.source(), keywords))
assert keywords['email'] == 'animal', message
