def processAlgorithm(self, progress):
layer = dataobjects.getObjectFromUri(self.getParameterValue(self.INPUT))
SELECTED_ONLY = self.getParameterValue(self.SELECTED_ONLY)
kneighbors = int(self.getParameterValue(self.KNEIGHBORS))
use_field = self.getParameterValue(self.METHOD) == 1
field_name = self.getParameterValue(self.FIELD)
# temporarily alter the processing environment
old_setting = ProcessingConfig.getSetting(ProcessingConfig.USE_SELECTED)
ProcessingConfig.setSettingValue(ProcessingConfig.USE_SELECTED, SELECTED_ONLY)
# get properties of the field the grouping is based on
if use_field:
field = QgsField(field_name)
field.setType(QVariant.String)
field.setLength(255)
index = layer.fieldNameIndex(field_name)
field_type = layer.pendingFields()[index].type()
if field_type == QVariant.Int:
field.setType(QVariant.Int)
field.setLength(20)
elif field_type == QVariant.Double:
field.setType(QVariant.Double)
field.setLength(20)
field.setPrecision(6)
else:
field.setType(QVariant.String)
field.setLength(255)
fields = [QgsField('clusterId', QVariant.Int, '', 20), field]
else:
# setup the fields of the output layer
fields = [QgsField('clusterId', QVariant.Int, '', 20)]
#fields.extend(layer.pendingFields().toList())
# initialize writer
writer = self.getOutputFromName(self.OUTPUT).getVectorWriter(fields, QGis.WKBPoint, layer.crs())
current = 0
fid = 1
if use_field:
# get unique values of field denoted by index as filter conditions
unique_values = layer.uniqueValues(index)
total = 100.0 / float(layer.featureCount() * len(unique_values))
for unique in unique_values:
points = []
first = True
features = vector.features(layer)
for in_feature in features:
value = in_feature[field_name]
if value == unique:
if first:
val = unique
first = False
points.extend(vector.extractPoints(QgsGeometry(in_feature.geometry())))
current += 1
progress.setPercentage(int(current * total))
# A minimum of 3 points is necessary to proceed
if len(points) >= 3:
out_feature = QgsFeature()
try:
clusters = SSNClusters(points, kneighbors).get_clusters()
for cluster in clusters.keys():
#mpoint = QgsGeometry.fromMultiPoint([QgsPoint(point[0], point[1]) for point in clusters[cluster]])
for member in clusters[cluster]:
point = QgsGeometry.fromPoint(QgsPoint(member[0], member[1]))
out_feature.setGeometry(point)
out_feature.setAttributes([fid, val])
writer.addFeature(out_feature)
fid += 1
except:
ProcessingLog.addToLog(ProcessingLog.LOG_ERROR, 'Exception while computing clusters.')
raise GeoAlgorithmExecutionException('Exception while computing clusters.')
finally:
ProcessingConfig.setSettingValue(ProcessingConfig.USE_SELECTED, old_setting)
else:
points = []
features = vector.features(layer)
total = 100.0 / float(len(features))
for in_feature in features:
##points.append(in_feature.geometry().asPoint())
points.extend(vector.extractPoints(QgsGeometry(in_feature.geometry())))
current += 1
progress.setPercentage(int(current * total))
out_feature = QgsFeature()
try:
clusters = SSNClusters(points, kneighbors).get_clusters()
for cluster in clusters.keys():
#mpoint = QgsGeometry.fromMultiPoint([QgsPoint(point[0], point[1]) for point in clusters[cluster]])
for member in clusters[cluster]:
point = QgsGeometry.fromPoint(QgsPoint(member[0], member[1]))
out_feature.setGeometry(point)
out_feature.setAttributes([cluster])
writer.addFeature(out_feature)
except:
ProcessingLog.addToLog(ProcessingLog.LOG_ERROR, 'Exception while computing clusters.')
raise GeoAlgorithmExecutionException('Exception while computing clusters')
finally:
ProcessingConfig.setSettingValue(ProcessingConfig.USE_SELECTED, old_setting)
del writer
def run(self):
# set dialog widgets
self.dlg.ls_layers.clear()
self.dlg.buttonBox.button(QDialogButtonBox.Ok).setDisabled(True)
has_selected_features = False
# check if an active layer exists
active_layer_name = ''
if self.iface.activeLayer() is not None:
active_layer_name = self.iface.activeLayer().name()
# all vector layers get added to the list
for index, layer in enumerate(self.iface.legendInterface().layers()):
if layer.type() == QgsMapLayer.VectorLayer:
# if there are selected features toggle has_selected_features
if layer.selectedFeatureCount():
has_selected_features = True
self.dlg.ls_layers.addItem(layer.name())
# select the active layer by default
if layer.name() == active_layer_name:
self.dlg.ls_layers.setCurrentRow(index)
# if at least one vector layer has selected features enable checkbutton cb_selected_only
if has_selected_features:
self.dlg.cb_selected_only.setEnabled(True)
self.dlg.cb_selected_only.setChecked(True)
else:
self.dlg.cb_selected_only.setChecked(False)
self.dlg.cb_selected_only.setEnabled(False)
# initialize cb_output
# remember the layer being selected the last time
last_index = self.dlg.cb_output.currentText()
# populate the combo box with the polygon layers listed in the current legend
self.set_output_layer_combobox(2, last_index)
# show the dialog
self.dlg.show()
# Run the dialog event loop
result = self.dlg.exec_()
# See if OK was pressed
if result == 1:
geom = []
# read selected list entries and get the map layer
for layer_name in self.dlg.ls_layers.selectedItems():
active_layer = QgsMapLayerRegistry.instance().mapLayersByName(
layer_name.text())[0]
# get all or the currently selected features according to state of cb_selected_only
# convert each feature to points
if active_layer.selectedFeatureCount(
) and self.dlg.cb_selected_only.checkState():
for feat in active_layer.selectedFeatures():
geom.extend(extract_points(feat.geometry()))
else:
for feat in active_layer.getFeatures():
geom.extend(extract_points(feat.geometry()))
num_points = len(geom)
if num_points == 0:
return None
# Send WARNING to the message bar to inform about a probably long running time
if num_points > 1000:
msg = self.msg_bar.createMessage(
u'Please be patient, processing of more then {} points may take a while'
.format(int(num_points)))
self.msg_bar.pushWidget(msg, QgsMessageBar.WARNING, 2)
# if more then 5000 points ask user to confirm
if num_points > 5000:
proceed = QMessageBox.question(
None, 'Please confirm', 'Do you really want to proceed?',
QMessageBox.Yes | QMessageBox.No)
if proceed == QMessageBox.No:
QApplication.instance().setOverrideCursor(Qt.ArrowCursor)
return None
# change cursor to inform user about ongoing processing
QApplication.instance().setOverrideCursor(Qt.BusyCursor)
# generate the hull geometry
# process points with prior clustering
hull_list = []
if self.dlg.gb_clustering.isChecked():
clusters = SSNClusters(
geom,
self.dlg.sb_neighborhood_list_size.value()).get_clusters()
for cluster in clusters.keys():
the_hull = concave_hull(clusters[cluster],
self.dlg.sb_neighbors.value())
if the_hull:
hull_list.append(
[as_polygon(the_hull),
len(clusters[cluster])])
else:
# process points without clustering
the_hull = concave_hull(geom, self.dlg.sb_neighbors.value())
hull_list.append([as_polygon(the_hull), len(geom)])
# write hull geometries to output device
success = self.create_output_feature(hull_list)
# report result in QGIS message bar
if success:
msg = self.msg_bar.createMessage(
_translate(
'ConcaveHull',
'{} Concave hulls created successfully'.format(
int(len(hull_list))), None))
self.msg_bar.pushWidget(msg, QgsMessageBar.INFO, 5)
# reset cursor
QApplication.instance().setOverrideCursor(Qt.ArrowCursor)
return None
def run(self):
# set dialog widgets
self.dlg.ls_layers.clear()
self.dlg.buttonBox.button(QDialogButtonBox.Ok).setDisabled(True)
has_selected_features = False
# check if an active layer exists
active_layer_name = ''
if self.iface.activeLayer() is not None:
active_layer_name = self.iface.activeLayer().name()
# all vector layers get added to the list
for index, layer in enumerate(self.iface.legendInterface().layers()):
if layer.type() == QgsMapLayer.VectorLayer:
# if there are selected features toggle has_selected_features
if layer.selectedFeatureCount():
has_selected_features = True
self.dlg.ls_layers.addItem(layer.name())
# select the active layer by default
if layer.name() == active_layer_name:
self.dlg.ls_layers.setCurrentRow(index)
# if at least one vector layer has selected features enable checkbutton cb_selected_only
if has_selected_features:
self.dlg.cb_selected_only.setEnabled(True)
self.dlg.cb_selected_only.setChecked(True)
else:
self.dlg.cb_selected_only.setChecked(False)
self.dlg.cb_selected_only.setEnabled(False)
# initialize cb_output
# remember the layer being selected the last time
last_index = self.dlg.cb_output.currentText()
# populate the combo box with the polygon layers listed in the current legend
self.set_output_layer_combobox(2, last_index)
# show the dialog
self.dlg.show()
# Run the dialog event loop
result = self.dlg.exec_()
# See if OK was pressed
if result == 1:
geom = []
# read selected list entries and get the map layer
for layer_name in self.dlg.ls_layers.selectedItems():
active_layer = QgsMapLayerRegistry.instance().mapLayersByName(layer_name.text())[0]
# get all or the currently selected features according to state of cb_selected_only
# convert each feature to points
if active_layer.selectedFeatureCount() and self.dlg.cb_selected_only.checkState():
for feat in active_layer.selectedFeatures():
geom.extend(extract_points(feat.geometry()))
else:
for feat in active_layer.getFeatures():
geom.extend(extract_points(feat.geometry()))
num_points = len(geom)
if num_points == 0:
return None
# Send WARNING to the message bar to inform about a probably long running time
if num_points > 1000:
msg = self.msg_bar.createMessage(u'Please be patient, processing of more then {} points may take a while'.
format(int(num_points)))
self.msg_bar.pushWidget(msg, QgsMessageBar.WARNING, 2)
# if more then 5000 points ask user to confirm
if num_points > 5000:
proceed = QMessageBox.question(None, 'Please confirm', 'Do you really want to proceed?',
QMessageBox.Yes | QMessageBox.No)
if proceed == QMessageBox.No:
QApplication.instance().setOverrideCursor(Qt.ArrowCursor)
return None
# change cursor to inform user about ongoing processing
QApplication.instance().setOverrideCursor(Qt.BusyCursor)
# generate the hull geometry
# process points with prior clustering
hull_list = []
if self.dlg.gb_clustering.isChecked():
clusters = SSNClusters(geom, self.dlg.sb_neighborhood_list_size.value()).get_clusters()
for cluster in clusters.keys():
the_hull = concave_hull(clusters[cluster], self.dlg.sb_neighbors.value())
if the_hull:
hull_list.append([as_polygon(the_hull), len(clusters[cluster])])
else:
# process points without clustering
the_hull = concave_hull(geom, self.dlg.sb_neighbors.value())
hull_list.append([as_polygon(the_hull), len(geom)])
# write hull geometries to output device
success = self.create_output_feature(hull_list)
# report result in QGIS message bar
if success:
msg = self.msg_bar.createMessage(_translate('ConcaveHull', '{} Concave hulls created successfully'.
format(int(len(hull_list))), None))
self.msg_bar.pushWidget(msg, QgsMessageBar.INFO, 5)
# reset cursor
QApplication.instance().setOverrideCursor(Qt.ArrowCursor)
return None
def processAlgorithm(self, progress):
layer = dataobjects.getObjectFromUri(self.getParameterValue(
self.INPUT))
SELECTED_ONLY = self.getParameterValue(self.SELECTED_ONLY)
kneighbors = int(self.getParameterValue(self.KNEIGHBORS))
use_field = self.getParameterValue(self.METHOD) == 1
field_name = self.getParameterValue(self.FIELD)
# temporarily alter the processing environment
old_setting = ProcessingConfig.getSetting(
ProcessingConfig.USE_SELECTED)
ProcessingConfig.setSettingValue(ProcessingConfig.USE_SELECTED,
SELECTED_ONLY)
# get properties of the field the grouping is based on
if use_field:
field = QgsField(field_name)
field.setType(QVariant.String)
field.setLength(255)
index = layer.fieldNameIndex(field_name)
field_type = layer.pendingFields()[index].type()
if field_type == QVariant.Int:
field.setType(QVariant.Int)
field.setLength(20)
elif field_type == QVariant.Double:
field.setType(QVariant.Double)
field.setLength(20)
field.setPrecision(6)
else:
field.setType(QVariant.String)
field.setLength(255)
fields = [QgsField('clusterId', QVariant.Int, '', 20), field]
else:
# setup the fields of the output layer
fields = [QgsField('clusterId', QVariant.Int, '', 20)]
#fields.extend(layer.pendingFields().toList())
# initialize writer
writer = self.getOutputFromName(self.OUTPUT).getVectorWriter(
fields, QGis.WKBPoint, layer.crs())
current = 0
fid = 1
if use_field:
# get unique values of field denoted by index as filter conditions
unique_values = layer.uniqueValues(index)
total = 100.0 / float(layer.featureCount() * len(unique_values))
for unique in unique_values:
points = []
first = True
features = vector.features(layer)
for in_feature in features:
value = in_feature[field_name]
if value == unique:
if first:
val = unique
first = False
points.extend(
vector.extractPoints(
QgsGeometry(in_feature.geometry())))
current += 1
progress.setPercentage(int(current * total))
# A minimum of 3 points is necessary to proceed
if len(points) >= 3:
out_feature = QgsFeature()
try:
clusters = SSNClusters(points,
kneighbors).get_clusters()
for cluster in clusters.keys():
#mpoint = QgsGeometry.fromMultiPoint([QgsPoint(point[0], point[1]) for point in clusters[cluster]])
for member in clusters[cluster]:
point = QgsGeometry.fromPoint(
QgsPoint(member[0], member[1]))
out_feature.setGeometry(point)
out_feature.setAttributes([fid, val])
writer.addFeature(out_feature)
fid += 1
except:
ProcessingLog.addToLog(
ProcessingLog.LOG_ERROR,
'Exception while computing clusters.')
raise GeoAlgorithmExecutionException(
'Exception while computing clusters.')
finally:
ProcessingConfig.setSettingValue(
ProcessingConfig.USE_SELECTED, old_setting)
else:
points = []
features = vector.features(layer)
total = 100.0 / float(len(features))
for in_feature in features:
##points.append(in_feature.geometry().asPoint())
points.extend(
vector.extractPoints(QgsGeometry(in_feature.geometry())))
current += 1
progress.setPercentage(int(current * total))
out_feature = QgsFeature()
try:
clusters = SSNClusters(points, kneighbors).get_clusters()
for cluster in clusters.keys():
#mpoint = QgsGeometry.fromMultiPoint([QgsPoint(point[0], point[1]) for point in clusters[cluster]])
for member in clusters[cluster]:
point = QgsGeometry.fromPoint(
QgsPoint(member[0], member[1]))
out_feature.setGeometry(point)
out_feature.setAttributes([cluster])
writer.addFeature(out_feature)
except:
ProcessingLog.addToLog(ProcessingLog.LOG_ERROR,
'Exception while computing clusters.')
raise GeoAlgorithmExecutionException(
'Exception while computing clusters')
finally:
ProcessingConfig.setSettingValue(ProcessingConfig.USE_SELECTED,
old_setting)
del writer
