def handleAlgorithmResults(alg, context, feedback=None, showResults=True):
wrongLayers = []
if feedback is None:
feedback = QgsProcessingFeedback()
feedback.setProgressText(QCoreApplication.translate('Postprocessing', 'Loading resulting layers'))
i = 0
for l, details in context.layersToLoadOnCompletion().items():
if feedback.isCanceled():
return False
if len(context.layersToLoadOnCompletion()) > 2:
# only show progress feedback if we're loading a bunch of layers
feedback.setProgress(100 * i / float(len(context.layersToLoadOnCompletion())))
try:
layer = QgsProcessingUtils.mapLayerFromString(l, context)
if layer is not None:
if not ProcessingConfig.getSetting(ProcessingConfig.USE_FILENAME_AS_LAYER_NAME):
layer.setName(details.name)
style = None
if details.outputName:
style = RenderingStyles.getStyle(alg.id(), details.outputName)
if style is None:
if layer.type() == QgsMapLayer.RasterLayer:
style = ProcessingConfig.getSetting(ProcessingConfig.RASTER_STYLE)
else:
if layer.geometryType() == QgsWkbTypes.PointGeometry:
style = ProcessingConfig.getSetting(ProcessingConfig.VECTOR_POINT_STYLE)
elif layer.geometryType() == QgsWkbTypes.LineGeometry:
style = ProcessingConfig.getSetting(ProcessingConfig.VECTOR_LINE_STYLE)
else:
style = ProcessingConfig.getSetting(ProcessingConfig.VECTOR_POLYGON_STYLE)
if style:
layer.loadNamedStyle(style)
details.project.addMapLayer(context.temporaryLayerStore().takeMapLayer(layer))
if details.postProcessor():
details.postProcessor().postProcessLayer(layer, context, feedback)
else:
wrongLayers.append(str(l))
except Exception:
QgsMessageLog.logMessage(QCoreApplication.translate('Postprocessing', "Error loading result layer:") + "\n" + traceback.format_exc(), 'Processing', Qgis.Critical)
wrongLayers.append(str(l))
i += 1
feedback.setProgress(100)
if wrongLayers:
msg = QCoreApplication.translate('Postprocessing', "The following layers were not correctly generated.")
msg += "<ul>" + "".join(["<li>%s</li>" % lay for lay in wrongLayers]) + "</ul>"
msg += QCoreApplication.translate('Postprocessing', "You can check the 'Log Messages Panel' in QGIS main window to find more information about the execution of the algorithm.")
feedback.reportError(msg)
return len(wrongLayers) == 0
def handleAlgorithmResults(alg, context, feedback=None, showResults=True):
wrongLayers = []
if feedback is None:
feedback = QgsProcessingFeedback()
feedback.setProgressText(QCoreApplication.translate('Postprocessing', 'Loading resulting layers'))
i = 0
for l, details in context.layersToLoadOnCompletion().items():
if feedback.isCanceled():
return False
if len(context.layersToLoadOnCompletion()) > 2:
# only show progress feedback if we're loading a bunch of layers
feedback.setProgress(100 * i / float(len(context.layersToLoadOnCompletion())))
try:
layer = QgsProcessingUtils.mapLayerFromString(l, context, typeHint=details.layerTypeHint)
if layer is not None:
set_layer_name(layer, details)
style = None
if details.outputName:
style = RenderingStyles.getStyle(alg.id(), details.outputName)
if style is None:
if layer.type() == QgsMapLayer.RasterLayer:
style = ProcessingConfig.getSetting(ProcessingConfig.RASTER_STYLE)
else:
if layer.geometryType() == QgsWkbTypes.PointGeometry:
style = ProcessingConfig.getSetting(ProcessingConfig.VECTOR_POINT_STYLE)
elif layer.geometryType() == QgsWkbTypes.LineGeometry:
style = ProcessingConfig.getSetting(ProcessingConfig.VECTOR_LINE_STYLE)
else:
style = ProcessingConfig.getSetting(ProcessingConfig.VECTOR_POLYGON_STYLE)
if style:
layer.loadNamedStyle(style)
details.project.addMapLayer(context.temporaryLayerStore().takeMapLayer(layer))
if details.postProcessor():
details.postProcessor().postProcessLayer(layer, context, feedback)
else:
wrongLayers.append(str(l))
except Exception:
QgsMessageLog.logMessage(QCoreApplication.translate('Postprocessing', "Error loading result layer:") + "\n" + traceback.format_exc(), 'Processing', Qgis.Critical)
wrongLayers.append(str(l))
i += 1
feedback.setProgress(100)
if wrongLayers:
msg = QCoreApplication.translate('Postprocessing', "The following layers were not correctly generated.")
msg += "<ul>" + "".join(["<li>%s</li>" % lay for lay in wrongLayers]) + "</ul>"
msg += QCoreApplication.translate('Postprocessing', "You can check the 'Log Messages Panel' in QGIS main window to find more information about the execution of the algorithm.")
feedback.reportError(msg)
return len(wrongLayers) == 0
def handle_algorithm_results(alg: QgsProcessingAlgorithm,
context: QgsProcessingContext,
feedback: QgsProcessingFeedback,
parameters={},
**kwargs) -> bool:
""" Handle algorithms result layeri
Insert result layers into destination project
"""
wrongLayers = []
for l, details in context.layersToLoadOnCompletion().items():
if feedback.isCanceled():
return False
try:
# Take as layer
layer = QgsProcessingUtils.mapLayerFromString(
l, context, typeHint=details.layerTypeHint)
if layer is not None:
# Set layer name to details name
# This is because we enforce destination name beeing
# the name from the parameter
# see processing.io for how is handled layer destination naming
layer.setName(details.name)
LOGGER.debug("Layer name set to %s <details name: %s>",
layer.name(), details.name)
_set_output_layer_style(l, layer, alg, details, context,
parameters)
# Add layer to destination project
LOGGER.debug(
"Adding Map layer '%s' (outputName %s) to Qgs Project", l,
details.outputName)
details.project.addMapLayer(
context.temporaryLayerStore().takeMapLayer(layer))
# Handle post processing
if details.postProcessor():
details.postProcessor().postProcessLayer(
layer, context, feedback)
else:
LOGGER.warning("No layer found for %s", l)
except Exception:
LOGGER.error("Processing: Error loading result layer:\n{}".format(
traceback.format_exc()))
wrongLayers.append(str(l))
if wrongLayers:
msg = "The following layers were not correctly generated:"
msg += "\n".join("%s" % lay for lay in wrongLayers)
msg += "You can check the log messages to find more information about the execution of the algorithm"
feedback.reportError(msg)
return len(wrongLayers) == 0
def execute_in_place_run(alg,
parameters,
context=None,
feedback=None,
raise_exceptions=False):
"""Executes an algorithm modifying features in-place in the input layer.
:param alg: algorithm to run
:type alg: QgsProcessingAlgorithm
:param parameters: parameters of the algorithm
:type parameters: dict
:param context: context, defaults to None
:type context: QgsProcessingContext, optional
:param feedback: feedback, defaults to None
:type feedback: QgsProcessingFeedback, optional
:param raise_exceptions: useful for testing, if True exceptions are raised, normally exceptions will be forwarded to the feedback
:type raise_exceptions: boo, default to False
:raises QgsProcessingException: raised when there is no active layer, or it cannot be made editable
:return: a tuple with true if success and results
:rtype: tuple
"""
if feedback is None:
feedback = QgsProcessingFeedback()
if context is None:
context = dataobjects.createContext(feedback)
# Only feature based algs have sourceFlags
try:
if alg.sourceFlags(
) & QgsProcessingFeatureSource.FlagSkipGeometryValidityChecks:
context.setInvalidGeometryCheck(QgsFeatureRequest.GeometryNoCheck)
except AttributeError:
pass
active_layer = parameters['INPUT']
# Run some checks and prepare the layer for in-place execution by:
# - getting the active layer and checking that it is a vector
# - making the layer editable if it was not already
# - selecting all features if none was selected
# - checking in-place support for the active layer/alg/parameters
# If one of the check fails and raise_exceptions is True an exception
# is raised, else the execution is aborted and the error reported in
# the feedback
try:
if active_layer is None:
raise QgsProcessingException(tr("There is not active layer."))
if not isinstance(active_layer, QgsVectorLayer):
raise QgsProcessingException(
tr("Active layer is not a vector layer."))
if not active_layer.isEditable():
if not active_layer.startEditing():
raise QgsProcessingException(
tr("Active layer is not editable (and editing could not be turned on)."
))
if not alg.supportInPlaceEdit(active_layer):
raise QgsProcessingException(
tr("Selected algorithm and parameter configuration are not compatible with in-place modifications."
))
except QgsProcessingException as e:
if raise_exceptions:
raise e
QgsMessageLog.logMessage(str(sys.exc_info()[0]), 'Processing',
Qgis.Critical)
if feedback is not None:
feedback.reportError(getattr(e, 'msg', str(e)), fatalError=True)
return False, {}
if not active_layer.selectedFeatureIds():
active_layer.selectAll()
# Make sure we are working on selected features only
parameters['INPUT'] = QgsProcessingFeatureSourceDefinition(
active_layer.id(), True)
parameters['OUTPUT'] = 'memory:'
req = QgsFeatureRequest(QgsExpression(r"$id < 0"))
req.setFlags(QgsFeatureRequest.NoGeometry)
req.setSubsetOfAttributes([])
# Start the execution
# If anything goes wrong and raise_exceptions is True an exception
# is raised, else the execution is aborted and the error reported in
# the feedback
try:
new_feature_ids = []
active_layer.beginEditCommand(alg.displayName())
# Checks whether the algorithm has a processFeature method
if hasattr(alg, 'processFeature'): # in-place feature editing
# Make a clone or it will crash the second time the dialog
# is opened and run
alg = alg.create()
if not alg.prepare(parameters, context, feedback):
raise QgsProcessingException(
tr("Could not prepare selected algorithm."))
# Check again for compatibility after prepare
if not alg.supportInPlaceEdit(active_layer):
raise QgsProcessingException(
tr("Selected algorithm and parameter configuration are not compatible with in-place modifications."
))
field_idxs = range(len(active_layer.fields()))
iterator_req = QgsFeatureRequest(active_layer.selectedFeatureIds())
iterator_req.setInvalidGeometryCheck(
context.invalidGeometryCheck())
feature_iterator = active_layer.getFeatures(iterator_req)
step = 100 / len(active_layer.selectedFeatureIds()
) if active_layer.selectedFeatureIds() else 1
for current, f in enumerate(feature_iterator):
feedback.setProgress(current * step)
if feedback.isCanceled():
break
# need a deep copy, because python processFeature implementations may return
# a shallow copy from processFeature
input_feature = QgsFeature(f)
new_features = alg.processFeature(input_feature, context,
feedback)
new_features = QgsVectorLayerUtils.makeFeaturesCompatible(
new_features, active_layer)
if len(new_features) == 0:
active_layer.deleteFeature(f.id())
elif len(new_features) == 1:
new_f = new_features[0]
if not f.geometry().equals(new_f.geometry()):
active_layer.changeGeometry(f.id(), new_f.geometry())
if f.attributes() != new_f.attributes():
active_layer.changeAttributeValues(
f.id(), dict(zip(field_idxs, new_f.attributes())),
dict(zip(field_idxs, f.attributes())))
new_feature_ids.append(f.id())
else:
active_layer.deleteFeature(f.id())
# Get the new ids
old_ids = set(
[f.id() for f in active_layer.getFeatures(req)])
if not active_layer.addFeatures(new_features):
raise QgsProcessingException(
tr("Error adding processed features back into the layer."
))
new_ids = set(
[f.id() for f in active_layer.getFeatures(req)])
new_feature_ids += list(new_ids - old_ids)
results, ok = {}, True
else: # Traditional 'run' with delete and add features cycle
# There is no way to know if some features have been skipped
# due to invalid geometries
if context.invalidGeometryCheck(
) == QgsFeatureRequest.GeometrySkipInvalid:
selected_ids = active_layer.selectedFeatureIds()
else:
selected_ids = []
results, ok = alg.run(parameters, context, feedback)
if ok:
result_layer = QgsProcessingUtils.mapLayerFromString(
results['OUTPUT'], context)
# TODO: check if features have changed before delete/add cycle
new_features = []
# Check if there are any skipped features
if context.invalidGeometryCheck(
) == QgsFeatureRequest.GeometrySkipInvalid:
missing_ids = list(
set(selected_ids) - set(result_layer.allFeatureIds()))
if missing_ids:
for f in active_layer.getFeatures(
QgsFeatureRequest(missing_ids)):
if not f.geometry().isGeosValid():
new_features.append(f)
active_layer.deleteFeatures(active_layer.selectedFeatureIds())
for f in result_layer.getFeatures():
new_features.extend(
QgsVectorLayerUtils.makeFeaturesCompatible(
[f], active_layer))
# Get the new ids
old_ids = set([f.id() for f in active_layer.getFeatures(req)])
if not active_layer.addFeatures(new_features):
raise QgsProcessingException(
tr("Error adding processed features back into the layer."
))
new_ids = set([f.id() for f in active_layer.getFeatures(req)])
new_feature_ids += list(new_ids - old_ids)
active_layer.endEditCommand()
if ok and new_feature_ids:
active_layer.selectByIds(new_feature_ids)
elif not ok:
active_layer.rollBack()
return ok, results
except QgsProcessingException as e:
active_layer.endEditCommand()
active_layer.rollBack()
if raise_exceptions:
raise e
QgsMessageLog.logMessage(str(sys.exc_info()[0]), 'Processing',
Qgis.Critical)
if feedback is not None:
feedback.reportError(getattr(e, 'msg', str(e)), fatalError=True)
return False, {}
def handleAlgorithmResults(alg, context, feedback=None, showResults=True):
wrongLayers = []
if feedback is None:
feedback = QgsProcessingFeedback()
feedback.setProgressText(
QCoreApplication.translate('Postprocessing',
'Loading resulting layers'))
i = 0
for l, details in context.layersToLoadOnCompletion().items():
if feedback.isCanceled():
return False
if len(context.layersToLoadOnCompletion()) > 2:
# only show progress feedback if we're loading a bunch of layers
feedback.setProgress(
100 * i / float(len(context.layersToLoadOnCompletion())))
try:
layer = QgsProcessingUtils.mapLayerFromString(l, context)
if layer is not None:
layer.setName(details.name)
details.project.addMapLayer(
context.temporaryLayerStore().takeMapLayer(layer))
else:
name = details.name
if ProcessingConfig.getSetting(
ProcessingConfig.USE_FILENAME_AS_LAYER_NAME):
name = os.path.basename(l)
dataobjects.load(l, name, alg.crs,
RenderingStyles.getStyle(alg.id(), l))
except Exception:
QgsMessageLog.logMessage(
"Error loading result layer:\n" + traceback.format_exc(),
'Processing', QgsMessageLog.CRITICAL)
#wrongLayers.append(out.description())
wrongLayers.append(l)
# for out in alg.outputs:
# feedback.setProgress(100 * i / float(len(alg.outputs)))
# if out.flags() & QgsProcessingParameterDefinition.FlagHidden or not out.open:
# continue
# if isinstance(out, (OutputRaster, OutputVector, OutputTable)):
# try:
# layer = QgsProcessingUtils.mapLayerFromString(out.value, context)
# if layer:
# layer.setName(out.description)
# QgsProject.instance().addMapLayer(context.temporaryLayerStore().takeMapLayer(layer))
# else:
# if ProcessingConfig.getSetting(
# ProcessingConfig.USE_FILENAME_AS_LAYER_NAME):
# name = os.path.basename(out.value)
# else:
# name = out.description
#
# isRaster = True if isinstance(out, OutputRaster) else False
# dataobjects.load(out.value, name, alg.crs,
# RenderingStyles.getStyle(alg.id(), out.name),
# isRaster)
# except Exception:
# QgsMessageLog.logMessage("Error loading result layer:\n" + traceback.format_exc(), 'Processing', QgsMessageLog.CRITICAL)
# wrongLayers.append(out.description)
# elif isinstance(out, OutputHTML):
# resultsList.addResult(alg.icon(), out.description, out.value)
i += 1
QApplication.restoreOverrideCursor()
if wrongLayers:
msg = "The following layers were not correctly generated.<ul>"
msg += "".join(["<li>%s</li>" % lay for lay in wrongLayers]) + "</ul>"
msg += "You can check the log messages to find more information about the execution of the algorithm"
feedback.reportError(msg)
return len(wrongLayers) == 0
def handleAlgorithmResults(alg, context, feedback=None, showResults=True, parameters={}):
wrongLayers = []
if feedback is None:
feedback = QgsProcessingFeedback()
feedback.setProgressText(QCoreApplication.translate('Postprocessing', 'Loading resulting layers'))
i = 0
for l, details in context.layersToLoadOnCompletion().items():
if feedback.isCanceled():
return False
if len(context.layersToLoadOnCompletion()) > 2:
# only show progress feedback if we're loading a bunch of layers
feedback.setProgress(100 * i / float(len(context.layersToLoadOnCompletion())))
try:
layer = QgsProcessingUtils.mapLayerFromString(l, context, typeHint=details.layerTypeHint)
if layer is not None:
set_layer_name(layer, details)
'''If running a model, the execution will arrive here when an algorithm that is part of
that model is executed. We check if its output is a final otuput of the model, and
adapt the output name accordingly'''
outputName = details.outputName
expcontext = QgsExpressionContext()
scope = QgsExpressionContextScope()
expcontext.appendScope(scope)
for out in alg.outputDefinitions():
if out.name() not in parameters:
continue
outValue = parameters[out.name()]
if hasattr(outValue, "sink"):
outValue = outValue.sink.valueAsString(expcontext)[0]
else:
outValue = str(outValue)
if outValue == l:
outputName = out.name()
break
style = None
if outputName:
style = RenderingStyles.getStyle(alg.id(), outputName)
if style is None:
if layer.type() == QgsMapLayer.RasterLayer:
style = ProcessingConfig.getSetting(ProcessingConfig.RASTER_STYLE)
else:
if layer.geometryType() == QgsWkbTypes.PointGeometry:
style = ProcessingConfig.getSetting(ProcessingConfig.VECTOR_POINT_STYLE)
elif layer.geometryType() == QgsWkbTypes.LineGeometry:
style = ProcessingConfig.getSetting(ProcessingConfig.VECTOR_LINE_STYLE)
else:
style = ProcessingConfig.getSetting(ProcessingConfig.VECTOR_POLYGON_STYLE)
if style:
layer.loadNamedStyle(style)
details.project.addMapLayer(context.temporaryLayerStore().takeMapLayer(layer))
if details.postProcessor():
details.postProcessor().postProcessLayer(layer, context, feedback)
else:
wrongLayers.append(str(l))
except Exception:
QgsMessageLog.logMessage(QCoreApplication.translate('Postprocessing', "Error loading result layer:") + "\n" + traceback.format_exc(), 'Processing', Qgis.Critical)
wrongLayers.append(str(l))
i += 1
feedback.setProgress(100)
if wrongLayers:
msg = QCoreApplication.translate('Postprocessing', "The following layers were not correctly generated.")
msg += "<ul>" + "".join(["<li>%s</li>" % lay for lay in wrongLayers]) + "</ul>"
msg += QCoreApplication.translate('Postprocessing', "You can check the 'Log Messages Panel' in QGIS main window to find more information about the execution of the algorithm.")
feedback.reportError(msg)
return len(wrongLayers) == 0
class CartogramWorkOrchestratorMixIn:
"""Manage the tasks of the plugin’s workers."""
def __init__(self):
"""Manage the tasks of the plugin’s workers."""
super(CartogramWorkOrchestratorMixIn, self).__init__()
self.add_processing_provider()
def add_processing_provider(self):
self.provider = CartogramProcessingProvider()
QgsApplication.processingRegistry().addProvider(self.provider)
def cancel_task(self):
self.disable_cancel_button()
self.task.cancel()
def is_task_running(self):
try:
return self.task.isActive()
except (AttributeError, RuntimeError): # (no self.task)
return False
def remove_processing_provider(self):
QgsApplication.processingRegistry().removeProvider(self.provider)
def sample_layer(self):
source_layer = QgsVectorLayer(
os.path.join(self.plugin_dir, "data", "Austria_PopulationByNUTS2.gml"),
""
)
# (empty) memory layer
sample_layer = QgsVectorLayer(
QgsWkbTypes.geometryDisplayString(source_layer.geometryType())
+ "?crs=" + source_layer.crs().authid()
+ "&index=yes",
"Austria_Population_NUTS2_20170101",
"memory"
)
sample_layer_data_provider = sample_layer.dataProvider()
sample_layer_data_provider.addAttributes(source_layer.fields().toList())
sample_layer.updateFields()
sample_layer_data_provider.addFeatures(list(source_layer.getFeatures()))
sample_layer.loadNamedStyle(
os.path.join(self.plugin_dir, "data", "Austria_PopulationByNUTS2.qml")
)
sample_layer.setTitle("Austria: Population by NUTS2 regions, 1 Jan 2017")
sample_layer.setShortName("Austria_Population_NUTS2_20170101")
sample_layer.setAbstract(
"Austria’s population by NUTS2 region, as of 1 Jan 2017 \n"
+ "\n"
+ "Data sources: \n"
+ " http://ec.europa.eu/eurostat/web/gisco/geodata/"
+ "reference-data/administrative-units-statistical-units/"
+ "nuts#nuts13 \n"
+ " http://www.statistik.at/web_de/statistiken/"
+ "menschen_und_gesellschaft/bevoelkerung/"
+ "bevoelkerungsstand_und_veraenderung/"
+ "bevoelkerung_zu_jahres-_quartalsanfang/index.html"
)
return sample_layer
def start_task(self, input_layer, field, max_iterations, max_average_error):
self.context = QgsProcessingContext()
self.feedback = QgsProcessingFeedback()
self.task = QgsProcessingAlgRunnerTask(
QgsApplication.processingRegistry().algorithmById("cartogram3:compute_cartogram"),
{
"INPUT": input_layer,
"FIELD": field,
"MAX_ITERATIONS": max_iterations,
"MAX_AVERAGE_ERROR": max_average_error,
"OUTPUT": "memory:"
},
self.context,
self.feedback
)
self.task.executed.connect(self.task_finished)
self.feedback.progressChanged.connect(self.update_progress)
QgsApplication.taskManager().addTask(self.task)
def task_finished(self, successful, results={}):
if successful:
output_layer = self.context.getMapLayer(results["OUTPUT"])
if output_layer and output_layer.isValid():
layer = self.context.takeResultLayer(output_layer.id())
self.add_result_layer_to_map_canvas(layer, results["FIELD"])
self.feedback.pushInfo(
(
"Finished computing cartogram for layer {:s} on field {:s} "
+ "after {:d} iterations with {:.2n}% residual error."
).format(
self.input_layer.name(),
results["FIELD"],
results["ITERATIONS"],
results["RESIDUAL_AVERAGE_ERROR"]
)
)
else:
if self.feedback.isCanceled():
self.feedback.pushWarning("User canceled cartogram computation")
self.feedback.reportError("Failed to compute cartogram")
self.clean_up_ui() # remove progress bar
def update_progress(self, progress):
self.update_progress_bar(progress)
def mergeDataSources2Vrt(self, dataSources, outFile, union=False, relative=False,
schema=False, feedback=None):
'''Function to do the work of merging datasources in a single vrt format
@param data_sources: Array of path strings
@param outfile: the output vrt file to generate
@param relative: Write relative flag. DOES NOT relativise paths. They have to be already relative
@param schema: Schema flag
@return: vrt in string format
'''
if feedback is None:
feedback = QgsProcessingFeedback()
vrt = '<OGRVRTDataSource>'
if union:
vrt += '<OGRVRTUnionLayer name="UnionedLayer">'
total = 100.0 / len(dataSources) if dataSources else 1
for current, layer in enumerate(dataSources):
if feedback.isCanceled():
break
feedback.setProgress(int(current * total))
inFile = layer.source()
srcDS = ogr.Open(inFile, 0)
if srcDS is None:
raise QgsProcessingException(
self.tr('Invalid datasource: {}'.format(inFile)))
if schema:
inFile = '@dummy@'
for layer in srcDS:
layerDef = layer.GetLayerDefn()
layerName = layerDef.GetName()
vrt += '<OGRVRTLayer name="{}">'.format(self.XmlEsc(layerName))
vrt += '<SrcDataSource relativeToVRT="{}" shared="{}">{}</SrcDataSource>'.format(1 if relative else 0, not schema, self.XmlEsc(inFile))
if schema:
vrt += '<SrcLayer>@dummy@</SrcLayer>'
else:
vrt += '<SrcLayer>{}</SrcLayer>'.format(self.XmlEsc(layerName))
vrt += '<GeometryType>{}</GeometryType>'.format(self.GeomType2Name(layerDef.GetGeomType()))
crs = layer.GetSpatialRef()
if crs is not None:
vrt += '<LayerSRS>{}</LayerSRS>'.format(self.XmlEsc(crs.ExportToWkt()))
# Process all the fields.
for fieldIdx in range(layerDef.GetFieldCount()):
fieldDef = layerDef.GetFieldDefn(fieldIdx)
vrt += '<Field name="{}" type="{}"'.format(self.XmlEsc(fieldDef.GetName()), self.fieldType2Name(fieldDef.GetType()))
if not schema:
vrt += ' src="{}"'.format(self.XmlEsc(fieldDef.GetName()))
if fieldDef.GetWidth() > 0:
vrt += ' width="{}"'.format(fieldDef.GetWidth())
if fieldDef.GetPrecision() > 0:
vrt += ' precision="{}"'.format(fieldDef.GetPrecision())
vrt += '/>'
vrt += '</OGRVRTLayer>'
srcDS.Destroy()
if union:
vrt += '</OGRVRTUnionLayer>'
vrt += '</OGRVRTDataSource>'
#TODO: pretty-print XML
if outFile is not None:
with codecs.open(outFile, 'w') as f:
f.write(vrt)
return vrt
def processAlgorithm(self, # type: ignore
parameters: Dict[str, Any],
context: QgsProcessingContext,
feedback: QgsProcessingFeedback) -> Dict[str, Any]:
resident_count = self.parameterAsInt(parameters, self.RESIDENT_COUNT, context)
employee_count = self.parameterAsInt(parameters, self.EMPLOYEE_COUNT, context)
ssa_value = self.parameterAsDouble(parameters, self.SSA, context)
resident_employee_count = resident_count + employee_count
if resident_employee_count <= 0:
raise QgsProcessingException('Sum of resident and employee count can not equal 0 or less')
if ssa_value < 0 or ssa_value > 1:
raise QgsProcessingException('SSA value needs to be between 0 and 1 or less')
outputs = {}
# USL Clip Raster
alg_params = {
'NO_DATA_VALUE': parameters[self.NO_DATA_VALUE],
'RASTER': parameters[self.RASTER],
'VECTOR': parameters[self.VECTOR],
'CLIPPED_RASTER': QgsProcessing.TEMPORARY_OUTPUT
}
outputs['UslClipRaster'] = processing.run('usl:usl_clip_raster', alg_params, context=context,
feedback=feedback, is_child_algorithm=True)
if feedback.isCanceled():
return {}
# USL SI Calculator
alg_params = {
'BUILD_UP_VALUE': parameters[self.BUILD_UP_VALUE],
'CLIPPED_RASTER': outputs['UslClipRaster']['CLIPPED_RASTER'],
'NO_DATA_VALUE': parameters[self.NO_DATA_VALUE],
'RADIUS': constants.RADIUS_VALUE,
'RASTER': parameters[self.RASTER],
'SI_RASTER': parameters[self.OUTPUT_RASTER]
}
outputs['UslSiCalculator'] = processing.run('usl:usl_si_calculator', alg_params, context=context,
feedback=feedback, is_child_algorithm=True)
if feedback.isCanceled():
return {}
# USL DIS Calculator
alg_params = {
'SI_RASTER': outputs['UslSiCalculator']['SI_RASTER']
}
outputs['UslDisCalculator'] = processing.run('usl:usl_dis_calculator', alg_params, context=context,
feedback=feedback, is_child_algorithm=True)
if feedback.isCanceled():
return {}
# USL LUP Calculator
alg_params = {
'BUILD_UP_VALUE': parameters[self.BUILD_UP_VALUE],
'CLIPPED_RASTER': outputs['UslClipRaster']['CLIPPED_RASTER'],
'EMPLOYEE_COUNT': employee_count,
'RESIDENT_COUNT': resident_count
}
outputs['UslLupCalculator'] = processing.run('usl:usl_lup_calculator', alg_params, context=context,
feedback=feedback, is_child_algorithm=True)
if feedback.isCanceled():
return {}
# USL WUP Calculator
alg_params = {
'DIS': outputs['UslDisCalculator']['DIS'],
'LUP': outputs['UslLupCalculator']['LUP'],
'SSA': ssa_value
}
outputs['UslWupCalculator'] = processing.run('usl:usl_wup_calculator', alg_params, context=context,
feedback=feedback, is_child_algorithm=True)
feedback.pushInfo('WUP,DIS,LUP')
feedback.pushInfo(outputs['UslWupCalculator']['WUP'], outputs['UslDisCalculator']['DIS'], outputs['UslLupCalculator']['LUP'])
return {self.OUTPUT: outputs['UslWupCalculator']['WUP']}
def processAlgorithm(self, parameters, context,
feedback: QgsProcessingFeedback):
# Input / Output
source = self.parameterAsSource(parameters, self.INPUT, context)
(sink, dest_id) = self.create_output_sink(parameters, context,
source.sourceCrs())
# Filter parameters
observation_type_indices = self.parameterAsEnums(
parameters, self.OBSERVATION_TYPE, context)
observation_types = list(
map(lambda i: self.OBSERVATION_TYPES[i][0],
observation_type_indices))
from_date = None
from_date_string = self.parameterAsString(parameters, self.FROM_DATE,
context)
if from_date_string:
from_date = datetime.fromisoformat(from_date_string)
to_date = None
to_date_string = self.parameterAsString(parameters, self.TO_DATE,
context)
if to_date_string:
to_date = datetime.fromisoformat(to_date_string)
fire_connection_string = self.settings.value("fire_connection_string")
fireDb = FireDb(fire_connection_string, debug=True)
features = list(source.getFeatures())
total_num_features = len(features)
total_num_features_processed = 0
# for current, feature in enumerate(features):
for feature in features:
if feedback.isCanceled():
return {}
wkt = feature.geometry().asWkt().upper()
geometry = Geometry(wkt)
observations = fireDb.hent_observationer_naer_geometri(
geometri=geometry, afstand=0, tidfra=from_date, tidtil=to_date)
pid_list = self.get_pids_from_observations(observations)
geometriobjekter = self.get_geometriobjekter_from_pids(
fireDb, pid_list)
idents = self.get_idents_from_pids(fireDb, pid_list)
feedback.setProgressText(
"Fandt {antal} observationer".format(antal=len(observations)))
feedback.setProgressText("Fandt {antal} geometriobjekter".format(
antal=len(geometriobjekter)))
feedback.setProgressText(
"Fandt {antal} idents".format(antal=len(idents)))
for current, observation in enumerate(observations):
observation_type_id = observation.observationstypeid
if observation_type_id in observation_types:
feature = self.create_feature_from_observation(
observation, geometriobjekter, idents, feedback)
if feature:
sink.addFeature(feature, QgsFeatureSink.FastInsert)
total_num_features_processed = total_num_features_processed + 1
feedback.setProgress(total_num_features_processed /
total_num_features)
if feedback.isCanceled():
return {}
apply_theme = self.parameterAsBool(parameters, self.APPLY_THEME,
context)
if apply_theme:
style_file = os.path.join(os.path.dirname(__file__), "..",
"styles", "observation.qml")
alg_params = {"INPUT": dest_id, "STYLE": style_file}
processing.run(
"qgis:setstyleforvectorlayer",
alg_params,
context=context,
feedback=feedback,
is_child_algorithm=True,
)
return {self.OUTPUT: dest_id}
def execute_in_place_run(alg, active_layer, parameters, context=None, feedback=None, raise_exceptions=False):
"""Executes an algorithm modifying features in-place in the input layer.
The input layer must be editable or an exception is raised.
:param alg: algorithm to run
:type alg: QgsProcessingAlgorithm
:param active_layer: the editable layer
:type active_layer: QgsVectoLayer
:param parameters: parameters of the algorithm
:type parameters: dict
:param context: context, defaults to None
:param context: QgsProcessingContext, optional
:param feedback: feedback, defaults to None
:param feedback: QgsProcessingFeedback, optional
:raises QgsProcessingException: raised when the layer is not editable or the layer cannot be found in the current project
:return: a tuple with true if success and results
:rtype: tuple
"""
if feedback is None:
feedback = QgsProcessingFeedback()
if context is None:
context = dataobjects.createContext(feedback)
if active_layer is None or not active_layer.isEditable():
raise QgsProcessingException(tr("Layer is not editable or layer is None."))
if not alg.supportInPlaceEdit(active_layer):
raise QgsProcessingException(tr("Selected algorithm and parameter configuration are not compatible with in-place modifications."))
parameters['OUTPUT'] = 'memory:'
try:
new_feature_ids = []
active_layer.beginEditCommand(alg.displayName())
req = QgsFeatureRequest(QgsExpression(r"$id < 0"))
req.setFlags(QgsFeatureRequest.NoGeometry)
req.setSubsetOfAttributes([])
# Checks whether the algorithm has a processFeature method
if hasattr(alg, 'processFeature'): # in-place feature editing
# Make a clone or it will crash the second time the dialog
# is opened and run
alg = alg.create()
if not alg.prepare(parameters, context, feedback):
raise QgsProcessingException(tr("Could not prepare selected algorithm."))
# Check again for compatibility after prepare
if not alg.supportInPlaceEdit(active_layer):
raise QgsProcessingException(tr("Selected algorithm and parameter configuration are not compatible with in-place modifications."))
field_idxs = range(len(active_layer.fields()))
feature_iterator = active_layer.getFeatures(QgsFeatureRequest(active_layer.selectedFeatureIds())) if parameters['INPUT'].selectedFeaturesOnly else active_layer.getFeatures()
step = 100 / len(active_layer.selectedFeatureIds()) if active_layer.selectedFeatureIds() else 1
for current, f in enumerate(feature_iterator):
feedback.setProgress(current * step)
if feedback.isCanceled():
break
# need a deep copy, because python processFeature implementations may return
# a shallow copy from processFeature
input_feature = QgsFeature(f)
new_features = alg.processFeature(input_feature, context, feedback)
new_features = QgsVectorLayerUtils.makeFeaturesCompatible(new_features, active_layer)
if len(new_features) == 0:
active_layer.deleteFeature(f.id())
elif len(new_features) == 1:
new_f = new_features[0]
if not f.geometry().equals(new_f.geometry()):
active_layer.changeGeometry(f.id(), new_f.geometry())
if f.attributes() != new_f.attributes():
active_layer.changeAttributeValues(f.id(), dict(zip(field_idxs, new_f.attributes())), dict(zip(field_idxs, f.attributes())))
new_feature_ids.append(f.id())
else:
active_layer.deleteFeature(f.id())
# Get the new ids
old_ids = set([f.id() for f in active_layer.getFeatures(req)])
if not active_layer.addFeatures(new_features):
raise QgsProcessingException(tr("Error adding processed features back into the layer."))
new_ids = set([f.id() for f in active_layer.getFeatures(req)])
new_feature_ids += list(new_ids - old_ids)
results, ok = {}, True
else: # Traditional 'run' with delete and add features cycle
results, ok = alg.run(parameters, context, feedback)
if ok:
result_layer = QgsProcessingUtils.mapLayerFromString(results['OUTPUT'], context)
# TODO: check if features have changed before delete/add cycle
active_layer.deleteFeatures(active_layer.selectedFeatureIds())
new_features = []
for f in result_layer.getFeatures():
new_features.extend(QgsVectorLayerUtils.
makeFeaturesCompatible([f], active_layer))
# Get the new ids
old_ids = set([f.id() for f in active_layer.getFeatures(req)])
if not active_layer.addFeatures(new_features):
raise QgsProcessingException(tr("Error adding processed features back into the layer."))
new_ids = set([f.id() for f in active_layer.getFeatures(req)])
new_feature_ids += list(new_ids - old_ids)
active_layer.endEditCommand()
if ok and new_feature_ids:
active_layer.selectByIds(new_feature_ids)
elif not ok:
active_layer.rollBack()
return ok, results
except QgsProcessingException as e:
active_layer.endEditCommand()
active_layer.rollBack()
if raise_exceptions:
raise e
QgsMessageLog.logMessage(str(sys.exc_info()[0]), 'Processing', Qgis.Critical)
if feedback is not None:
feedback.reportError(getattr(e, 'msg', str(e)))
return False, {}
def processAlgorithm(self, parameters: Dict[str, Any],
context: QgsProcessingContext,
feedback: QgsProcessingFeedback) -> Union[dict, Dict[str, Any]]:
result = dict()
canalsfield: str = self.parameterAsFields(parameters, self.CANALSFIELD, context)[0]
pointsfield: str = self.parameterAsFields(parameters, self.POINTSFIELD, context)[0]
typefield: str = self.parameterAsFields(parameters, self.TYPEFIELD, context)[0]
typevalue: str = self.parameterAsString(parameters, self.TYPEVALUE, context)
tolerancepoints: float = self.parameterAsDouble(parameters, self.TOLERANCEPOINTS, context)
tolerancecanals: float = self.parameterAsDouble(parameters, self.TOLERANCECANALS, context)
model_feedback = QgsProcessingMultiStepFeedback(3, feedback)
if feedback.isCanceled():
return result
snappedcanals_out_name = 'native:splitwithlines_1:{}'.format(self.SNAPPEDCANALS)
intersect_out_name = 'native:fieldcalculator_1:INTERSECTIONS'
points_with_uuid_name = 'qgis:advancedpythonfieldcalculator_1:{}'.format(self.POINTSWITHUUID)
proc_result = processing.run(self.snap_lines.model(),
{
'CANALS': parameters[self.CANALS],
'DELIVERYPOINTS': parameters[self.DELIVERYPOINTS],
'TOLERANCECANALS': tolerancecanals,
'TYPEFIELD': typefield,
'TYPEVALUE': typevalue,
'VERBOSE_LOG': True,
snappedcanals_out_name: 'TEMPORARY_OUTPUT',
intersect_out_name: 'TEMPORARY_OUTPUT',
points_with_uuid_name: 'TEMPORARY_OUTPUT',
},
context=context,
feedback=model_feedback,
is_child_algorithm=True)
# TODO SNAPPEDCANALS добавить в result в конце, когда они будут порезаны по пересечениям
print("Main processing complete")
model_feedback.setCurrentStep(1)
if feedback.isCanceled():
return result
snapped_canals: QgsVectorLayer = context.takeResultLayer(
proc_result[snappedcanals_out_name])
intersections: QgsVectorLayer = context.takeResultLayer(
proc_result[intersect_out_name])
points_with_uuid: QgsVectorLayer = context.takeResultLayer(
proc_result[points_with_uuid_name])
(snapped_canals_sink, snapped_canals_id) = self.parameterAsSink(parameters, self.SNAPPEDCANALS,
context, snapped_canals.fields(),
snapped_canals.wkbType(),
snapped_canals.sourceCrs())
(points_with_uuid_sink, points_with_uuid_id) = self.parameterAsSink(parameters, self.POINTSWITHUUID,
context, points_with_uuid.fields(),
points_with_uuid.wkbType(),
points_with_uuid.sourceCrs())
snapped_canals_sink.addFeatures(snapped_canals.getFeatures())
points_with_uuid_sink.addFeatures(points_with_uuid.getFeatures())
result.update({
self.SNAPPEDCANALS: snapped_canals_id,
self.POINTSWITHUUID: points_with_uuid_id,
})
snapped_points_layers = []
for line_name in points_with_uuid.uniqueValues(points_with_uuid.fields().indexFromName(pointsfield)):
line_expression = QgsExpression().createFieldEqualityExpression(canalsfield, line_name)
line_request = QgsFeatureRequest()
line_request.setFilterExpression(line_expression)
point_expression = QgsExpression().createFieldEqualityExpression(pointsfield, line_name)
point_request = QgsFeatureRequest()
point_request.setFilterExpression(point_expression)
subset_snapped_canals = snapped_canals.materialize(line_request, model_feedback)
subset_points_with_uuid = points_with_uuid.materialize(point_request, model_feedback)
snapped_points_layers.append(
processing.run("native:snapgeometries",
{
'INPUT': subset_points_with_uuid,
'REFERENCE_LAYER': subset_snapped_canals,
'TOLERANCE': tolerancepoints,
'BEHAVIOR': 1,
'OUTPUT': 'TEMPORARY_OUTPUT'
},
context=context,
# feedback=model_feedback,
is_child_algorithm=True)['OUTPUT']
)
print("Cycle complete")
model_feedback.setCurrentStep(2)
if feedback.isCanceled():
return result
snapped_points_layers.append(intersections)
snapped_points_id = processing.run("native:mergevectorlayers",
{
'LAYERS': snapped_points_layers,
'CRS': points_with_uuid.crs(),
'OUTPUT': 'TEMPORARY_OUTPUT'
},
context=context,
feedback=model_feedback,
is_child_algorithm=True)['OUTPUT']
snapped_points: QgsVectorLayer = context.takeResultLayer(snapped_points_id)
(snapped_points_sink, snapped_points_id) = self.parameterAsSink(parameters, self.SNAPPEDPOINTS,
context, snapped_points.fields(),
snapped_points.wkbType(),
snapped_points.sourceCrs())
snapped_points_sink.addFeatures(snapped_points.getFeatures())
print("Vectors merged")
model_feedback.setCurrentStep(3)
if feedback.isCanceled():
return result
result.update({
self.SNAPPEDPOINTS: snapped_points_id,
})
print(result)
return result
def generate_od_routes(
network_layer: QgsVectorLayer,
origin_layer: QgsVectorLayer,
poi_layer: QgsVectorLayer,
size_field: str,
class_field: str,
work_layer: QgsVectorLayer = None,
work_size_field: str = None,
school_layer: QgsVectorLayer = None,
school_size_field: str = None,
origin_weight_field: str = None,
socio_data=None,
health_data=None,
diversity_data=None,
join_on: str = None,
max_distance: int = 25000,
return_layer: bool = True,
return_raw: bool = False,
feedback: QgsProcessingFeedback = None,
) -> QgsVectorLayer:
"""
Shortest path algorithm based on Dijkstra's algorithm
:param network_layer: road network
:param points_layer: combined from to points
:param relations_data: tabular from to id data
:param origin_field: name of from field
:param destination_field: name of to field
:param max_distance: maximum distance/cost
:param crs: output layer crs
"""
if not network_layer.wkbType() & QgsWkbTypes.LineString:
raise Exception('Network layer must be of type LineString')
crs = network_layer.crs()
## prepare graph
director = QgsVectorLayerDirector(
source=network_layer,
directionFieldId=-1,
directDirectionValue='',
reverseDirectionValue='',
bothDirectionValue='',
defaultDirection=QgsVectorLayerDirector.DirectionBoth,
)
# First strategy is for actual shortest distance calculation
director.addStrategy(QgsNetworkDistanceStrategy()) # 0
# Second strategy is a hack to be able to recover the edge id
director.addStrategy(SaveFidStrategy()) # 1
builder = QgsGraphBuilder(crs)
## spatial index
poi_sidx = QgsSpatialIndex(poi_layer)
work_sidx = QgsSpatialIndex(work_layer)
school_sidx = QgsSpatialIndex(school_layer)
## prepare points
orig_n = len(origin_layer)
poi_n = len(poi_layer)
work_n = len(work_layer) if work_layer else 0
school_n = len(school_layer) if school_layer else 0
dest_n = poi_n + work_n + school_n
orig_points = [None] * orig_n
orig_sizes = np.zeros(orig_n, dtype=float)
if socio_data:
orig_socio = np.zeros(orig_n, dtype=float)
dest_points = [None] * dest_n
dest_sizes = [None] * dest_n
dest_fids = [None] * dest_n
dest_cats = [None] * dest_n
orig_id_field = 'deso'
for i, feat in enumerate(origin_layer.getFeatures()):
orig_points[i] = feat.geometry().asPoint()
orig_sizes[i] = feat[size_field] * (
feat[origin_weight_field] if origin_weight_field else 1
)
if socio_data:
orig_socio[i] = socio_data[
feat[orig_id_field]
] # FIXME: check if all origins have data
if socio_data:
orig_socio = orig_socio / np.mean(orig_socio)
orig_sizes *= orig_socio
for i, feat in enumerate(poi_layer.getFeatures()):
dest_points[i] = feat.geometry().asPoint()
dest_fids[i] = feat.id()
dest_sizes[i] = 1 # TODO: dest size
dest_cats[i] = poi_class_map.get(feat[class_field])
if work_layer:
for i, feat in enumerate(work_layer.getFeatures(), start=poi_n):
dest_points[i] = feat.geometry().asPoint()
dest_fids[i] = feat.id()
dest_sizes[i] = feat[work_size_field] # TODO: dest size
dest_cats[i] = 'work'
if school_layer:
for i, feat in enumerate(school_layer.getFeatures(), start=(poi_n + work_n)):
dest_points[i] = feat.geometry().asPoint()
dest_fids[i] = feat.id()
dest_sizes[i] = feat[school_size_field] # TODO: dest size
dest_cats[i] = 'school'
# points = [origin.point for origin in origins_data] + [
# dest.point for dest in dests_data
# ]
if feedback is None:
feedback = QgsProcessingFeedback()
def progress(p):
if int(10 * p % 100) == 0:
print(f'{int(p):#3d}%')
feedback.progressChanged.connect(progress)
with timing('build network graph'):
tied_points = director.makeGraph(
builder, orig_points + dest_points, feedback=feedback
)
graph = builder.graph()
orig_tied_points = tied_points[:orig_n]
dest_tied_points = tied_points[orig_n:]
poi_tied_points = dest_tied_points[:poi_n]
work_tied_points = dest_tied_points[poi_n : poi_n + work_n]
school_tied_points = dest_tied_points[poi_n + work_n :]
dest_fid_to_tied_points = dict(zip(dest_fids, enumerate(dest_tied_points)))
poi_fid_to_tied_points = dict(zip(dest_fids[:poi_n], enumerate(poi_tied_points)))
work_fid_to_tied_points = dict(
zip(dest_fids[poi_n : poi_n + work_n], enumerate(work_tied_points, start=poi_n))
)
school_fid_to_tied_points = dict(
zip(
dest_fids[poi_n + work_n :],
enumerate(school_tied_points, start=poi_n + work_n),
)
)
orig_dests = [None] * orig_n
for i, point in enumerate(orig_points):
orig_dests[i] = (
[
poi_fid_to_tied_points[fid]
for fid in poi_sidx.nearestNeighbor(
point, neighbors=MAX_NEIGHBORS, maxDistance=max_distance
)
]
+ [
work_fid_to_tied_points[fid]
for fid in work_sidx.nearestNeighbor(
point, neighbors=MAX_NEIGHBORS, maxDistance=max_distance
)
]
+ [
school_fid_to_tied_points[fid]
for fid in school_sidx.nearestNeighbor(
point, neighbors=MAX_NEIGHBORS, maxDistance=max_distance
)
]
)
step = 100.0 / orig_n
time_dijkstra = 0.0
time_find = 0.0
time_route = 0.0
with timing('calculate connecting routes'):
routes = []
# for i, (origin_fid, dest_fids) in enumerate(od_data):
for i, (orig_point, dests) in enumerate(zip(orig_tied_points, orig_dests)):
origin_vertex_id = graph.findVertex(orig_point)
# Calculate the tree and cost using the distance strategy (#0)
ts = time()
(tree, cost) = QgsGraphAnalyzer.dijkstra(graph, origin_vertex_id, 0)
time_dijkstra += time() - ts
for j, dest_point in dests:
if feedback.isCanceled():
return
if dest_sizes[j] <= 0:
continue
category = dest_cats[j]
if category is None:
continue
ts = time()
dest_vertex_id = graph.findVertex(dest_point)
time_find += time() - ts
if tree[dest_vertex_id] != -1 and (
cost[dest_vertex_id] <= MAX_DISTANCE_M
or MAX_DISTANCE_M <= 0 # TODO: enable skipping max distance
):
route_distance = cost[dest_vertex_id]
# route_points = [graph.vertex(dest_vertex_id).point()]
cur_vertex_id = dest_vertex_id
route_fids = []
# Iterate the graph from dest to origin saving the edges
ts = time()
while cur_vertex_id != origin_vertex_id:
cur_edge = graph.edge(tree[cur_vertex_id])
# Here we recover the edge id through strategy #1
route_fids.append(cur_edge.cost(1))
cur_vertex_id = cur_edge.fromVertex()
# route_points.append(graph.vertex(cur_vertex_id).point())
time_route += time() - ts
# route_points.reverse()
# route_geom = QgsGeometry.fromPolylineXY(route_points))
# Hack to remove duplicate fids
route_fids = list(
dict.fromkeys(route_fids)
) # NOTE: requires python >= 3.7 for ordered dict FIXME: add python version check
route_fids.reverse()
# Calc
# TODO: Move to matrix and vectorize calculation using numpy
gravity_value = poi_gravity_values[category]
bike_params = mode_params_bike[category]
ebike_params = mode_params_ebike[category]
# NOTE: we include dest size in decay here
decay = dest_sizes[j] * math.exp(
gravity_value * route_distance / 1000.0
)
p_bike = sigmoid(*bike_params, route_distance)
p_ebike = sigmoid(*ebike_params, route_distance)
# TODO: use namedtuple or dataclass
routes.append(
Route(
i,
j,
category,
route_distance,
decay,
p_bike,
p_ebike,
route_fids,
)
)
feedback.setProgress(i * step)
print(f'dijkstra took: {time_dijkstra:#1.2f} sec')
print(f'find vertex took: {time_find:#1.2f} sec')
print(f'route took: {time_route:#1.2f} sec')
with timing('post process routes'):
alpha_bike = 0.8
alpha_ebke = 0.2
decay_sums = {cat: defaultdict(float) for cat in poi_categories}
bike_values = {cat: defaultdict(float) for cat in poi_categories}
ebike_values = {cat: defaultdict(float) for cat in poi_categories}
for route in routes:
# NOTE: dest size is included in decay
decay_sums[route.cat][route.i] += route.decay
for route in routes:
decay_sum = decay_sums[route.cat][route.i]
# TODO: add T_p and alpha_m
T_p = trip_generation[route.cat]
bike_value = (
T_p
* alpha_bike
* orig_sizes[route.i]
* route.p_bike
* route.decay
/ decay_sum
)
ebike_value = (
T_p
* alpha_ebke
* orig_sizes[route.i]
* route.p_ebike
* route.decay
/ decay_sum
)
for fid in route.net_fids:
bike_values[route.cat][fid] += float(bike_value)
ebike_values[route.cat][fid] += float(ebike_value)
# FIXME: Un-kludge this
with timing('create result features'):
fields = get_fields()
segments = []
for feature in network_layer.getFeatures():
fid = feature.id()
segment = QgsFeature(fields)
segment.setGeometry(QgsGeometry(feature.geometry()))
segment['network_fid'] = fid
flow = 0.0
for cat in poi_categories:
bike_field = f'{cat}_bike_value'
ebike_field = f'{cat}_ebike_value'
flow_bike = segment[bike_field] = bike_values[cat].get(fid)
flow_ebke = segment[ebike_field] = ebike_values[cat].get(fid)
if flow_bike is not None:
flow += flow_bike
if flow_ebke is not None:
flow += flow_ebke
segment['flow'] = flow
segment['lts'] = feature['lts']
segment['vgu'] = feature['vgu']
segment['R'] = flow * feature['ratio']
segments.append(segment)
if not return_layer:
if return_raw:
return segments, bike_values, ebike_values
return segments
with timing('create result layer'):
output_layer = QgsVectorLayer(
f'LineString?crs={crs.toWkt()}', 'segments', 'memory'
)
with edit(output_layer):
for field in fields:
output_layer.addAttribute(field)
output_layer.addFeatures(segments, flags=QgsFeatureSink.FastInsert)
return output_layer
def handleAlgorithmResults(alg,
context,
feedback=None,
showResults=True,
parameters={}):
wrongLayers = []
if feedback is None:
feedback = QgsProcessingFeedback()
feedback.setProgressText(
QCoreApplication.translate('Postprocessing',
'Loading resulting layers'))
i = 0
for l, details in context.layersToLoadOnCompletion().items():
if feedback.isCanceled():
return False
if len(context.layersToLoadOnCompletion()) > 2:
# only show progress feedback if we're loading a bunch of layers
feedback.setProgress(
100 * i / float(len(context.layersToLoadOnCompletion())))
try:
layer = QgsProcessingUtils.mapLayerFromString(
l, context, typeHint=details.layerTypeHint)
if layer is not None:
set_layer_name(layer, details)
'''If running a model, the execution will arrive here when an algorithm that is part of
that model is executed. We check if its output is a final otuput of the model, and
adapt the output name accordingly'''
outputName = details.outputName
expcontext = QgsExpressionContext()
scope = QgsExpressionContextScope()
expcontext.appendScope(scope)
for out in alg.outputDefinitions():
if out.name() not in parameters:
continue
outValue = parameters[out.name()]
if hasattr(outValue, "sink"):
outValue = outValue.sink.valueAsString(expcontext)[0]
else:
outValue = str(outValue)
if outValue == l:
outputName = out.name()
break
style = None
if outputName:
style = RenderingStyles.getStyle(alg.id(), outputName)
if style is None:
if layer.type() == QgsMapLayerType.RasterLayer:
style = ProcessingConfig.getSetting(
ProcessingConfig.RASTER_STYLE)
else:
if layer.geometryType() == QgsWkbTypes.PointGeometry:
style = ProcessingConfig.getSetting(
ProcessingConfig.VECTOR_POINT_STYLE)
elif layer.geometryType() == QgsWkbTypes.LineGeometry:
style = ProcessingConfig.getSetting(
ProcessingConfig.VECTOR_LINE_STYLE)
else:
style = ProcessingConfig.getSetting(
ProcessingConfig.VECTOR_POLYGON_STYLE)
if style:
layer.loadNamedStyle(style)
details.project.addMapLayer(
context.temporaryLayerStore().takeMapLayer(layer))
if details.postProcessor():
details.postProcessor().postProcessLayer(
layer, context, feedback)
else:
wrongLayers.append(str(l))
except Exception:
QgsMessageLog.logMessage(
QCoreApplication.translate(
'Postprocessing', "Error loading result layer:") + "\n" +
traceback.format_exc(), 'Processing', Qgis.Critical)
wrongLayers.append(str(l))
i += 1
feedback.setProgress(100)
if wrongLayers:
msg = QCoreApplication.translate(
'Postprocessing',
"The following layers were not correctly generated.")
msg += "<ul>" + "".join(["<li>%s</li>" % lay
for lay in wrongLayers]) + "</ul>"
msg += QCoreApplication.translate(
'Postprocessing',
"You can check the 'Log Messages Panel' in QGIS main window to find more information about the execution of the algorithm."
)
feedback.reportError(msg)
return len(wrongLayers) == 0
def handleAlgorithmResults(alg, context, feedback=None, showResults=True):
wrongLayers = []
if feedback is None:
feedback = QgsProcessingFeedback()
feedback.setProgressText(QCoreApplication.translate('Postprocessing', 'Loading resulting layers'))
i = 0
for l, details in context.layersToLoadOnCompletion().items():
if feedback.isCanceled():
return False
if len(context.layersToLoadOnCompletion()) > 2:
# only show progress feedback if we're loading a bunch of layers
feedback.setProgress(100 * i / float(len(context.layersToLoadOnCompletion())))
try:
layer = QgsProcessingUtils.mapLayerFromString(l, context)
if layer is not None:
layer.setName(details.name)
details.project.addMapLayer(context.temporaryLayerStore().takeMapLayer(layer))
else:
name = details.name
if ProcessingConfig.getSetting(
ProcessingConfig.USE_FILENAME_AS_LAYER_NAME):
name = os.path.basename(l)
dataobjects.load(l, name, alg.crs,
RenderingStyles.getStyle(alg.id(), l))
except Exception:
QgsMessageLog.logMessage("Error loading result layer:\n" + traceback.format_exc(), 'Processing', QgsMessageLog.CRITICAL)
#wrongLayers.append(out.description())
wrongLayers.append(l)
# for out in alg.outputs:
# feedback.setProgress(100 * i / float(len(alg.outputs)))
# if out.flags() & QgsProcessingParameterDefinition.FlagHidden or not out.open:
# continue
# if isinstance(out, (OutputRaster, OutputVector, OutputTable)):
# try:
# layer = QgsProcessingUtils.mapLayerFromString(out.value, context)
# if layer:
# layer.setName(out.description)
# QgsProject.instance().addMapLayer(context.temporaryLayerStore().takeMapLayer(layer))
# else:
# if ProcessingConfig.getSetting(
# ProcessingConfig.USE_FILENAME_AS_LAYER_NAME):
# name = os.path.basename(out.value)
# else:
# name = out.description
#
# isRaster = True if isinstance(out, OutputRaster) else False
# dataobjects.load(out.value, name, alg.crs,
# RenderingStyles.getStyle(alg.id(), out.name),
# isRaster)
# except Exception:
# QgsMessageLog.logMessage("Error loading result layer:\n" + traceback.format_exc(), 'Processing', QgsMessageLog.CRITICAL)
# wrongLayers.append(out.description)
# elif isinstance(out, OutputHTML):
# resultsList.addResult(alg.icon(), out.description, out.value)
i += 1
QApplication.restoreOverrideCursor()
if wrongLayers:
msg = "The following layers were not correctly generated.<ul>"
msg += "".join(["<li>%s</li>" % lay for lay in wrongLayers]) + "</ul>"
msg += "You can check the log messages to find more information about the execution of the algorithm"
feedback.reportError(msg)
return len(wrongLayers) == 0
def execute_in_place_run(alg, parameters, context=None, feedback=None, raise_exceptions=False):
"""Executes an algorithm modifying features in-place in the input layer.
:param alg: algorithm to run
:type alg: QgsProcessingAlgorithm
:param parameters: parameters of the algorithm
:type parameters: dict
:param context: context, defaults to None
:type context: QgsProcessingContext, optional
:param feedback: feedback, defaults to None
:type feedback: QgsProcessingFeedback, optional
:param raise_exceptions: useful for testing, if True exceptions are raised, normally exceptions will be forwarded to the feedback
:type raise_exceptions: boo, default to False
:raises QgsProcessingException: raised when there is no active layer, or it cannot be made editable
:return: a tuple with true if success and results
:rtype: tuple
"""
if feedback is None:
feedback = QgsProcessingFeedback()
if context is None:
context = dataobjects.createContext(feedback)
# Only feature based algs have sourceFlags
try:
if alg.sourceFlags() & QgsProcessingFeatureSource.FlagSkipGeometryValidityChecks:
context.setInvalidGeometryCheck(QgsFeatureRequest.GeometryNoCheck)
except AttributeError:
pass
active_layer = parameters['INPUT']
# Run some checks and prepare the layer for in-place execution by:
# - getting the active layer and checking that it is a vector
# - making the layer editable if it was not already
# - selecting all features if none was selected
# - checking in-place support for the active layer/alg/parameters
# If one of the check fails and raise_exceptions is True an exception
# is raised, else the execution is aborted and the error reported in
# the feedback
try:
if active_layer is None:
raise QgsProcessingException(tr("There is not active layer."))
if not isinstance(active_layer, QgsVectorLayer):
raise QgsProcessingException(tr("Active layer is not a vector layer."))
if not active_layer.isEditable():
if not active_layer.startEditing():
raise QgsProcessingException(tr("Active layer is not editable (and editing could not be turned on)."))
if not alg.supportInPlaceEdit(active_layer):
raise QgsProcessingException(tr("Selected algorithm and parameter configuration are not compatible with in-place modifications."))
except QgsProcessingException as e:
if raise_exceptions:
raise e
QgsMessageLog.logMessage(str(sys.exc_info()[0]), 'Processing', Qgis.Critical)
if feedback is not None:
feedback.reportError(getattr(e, 'msg', str(e)), fatalError=True)
return False, {}
if not active_layer.selectedFeatureIds():
active_layer.selectAll()
# Make sure we are working on selected features only
parameters['INPUT'] = QgsProcessingFeatureSourceDefinition(active_layer.id(), True)
parameters['OUTPUT'] = 'memory:'
req = QgsFeatureRequest(QgsExpression(r"$id < 0"))
req.setFlags(QgsFeatureRequest.NoGeometry)
req.setSubsetOfAttributes([])
# Start the execution
# If anything goes wrong and raise_exceptions is True an exception
# is raised, else the execution is aborted and the error reported in
# the feedback
try:
new_feature_ids = []
active_layer.beginEditCommand(alg.displayName())
# Checks whether the algorithm has a processFeature method
if hasattr(alg, 'processFeature'): # in-place feature editing
# Make a clone or it will crash the second time the dialog
# is opened and run
alg = alg.create()
if not alg.prepare(parameters, context, feedback):
raise QgsProcessingException(tr("Could not prepare selected algorithm."))
# Check again for compatibility after prepare
if not alg.supportInPlaceEdit(active_layer):
raise QgsProcessingException(tr("Selected algorithm and parameter configuration are not compatible with in-place modifications."))
field_idxs = range(len(active_layer.fields()))
iterator_req = QgsFeatureRequest(active_layer.selectedFeatureIds())
iterator_req.setInvalidGeometryCheck(context.invalidGeometryCheck())
feature_iterator = active_layer.getFeatures(iterator_req)
step = 100 / len(active_layer.selectedFeatureIds()) if active_layer.selectedFeatureIds() else 1
for current, f in enumerate(feature_iterator):
feedback.setProgress(current * step)
if feedback.isCanceled():
break
# need a deep copy, because python processFeature implementations may return
# a shallow copy from processFeature
input_feature = QgsFeature(f)
new_features = alg.processFeature(input_feature, context, feedback)
new_features = QgsVectorLayerUtils.makeFeaturesCompatible(new_features, active_layer)
if len(new_features) == 0:
active_layer.deleteFeature(f.id())
elif len(new_features) == 1:
new_f = new_features[0]
if not f.geometry().equals(new_f.geometry()):
active_layer.changeGeometry(f.id(), new_f.geometry())
if f.attributes() != new_f.attributes():
active_layer.changeAttributeValues(f.id(), dict(zip(field_idxs, new_f.attributes())), dict(zip(field_idxs, f.attributes())))
new_feature_ids.append(f.id())
else:
active_layer.deleteFeature(f.id())
# Get the new ids
old_ids = set([f.id() for f in active_layer.getFeatures(req)])
if not active_layer.addFeatures(new_features):
raise QgsProcessingException(tr("Error adding processed features back into the layer."))
new_ids = set([f.id() for f in active_layer.getFeatures(req)])
new_feature_ids += list(new_ids - old_ids)
results, ok = {}, True
else: # Traditional 'run' with delete and add features cycle
# There is no way to know if some features have been skipped
# due to invalid geometries
if context.invalidGeometryCheck() == QgsFeatureRequest.GeometrySkipInvalid:
selected_ids = active_layer.selectedFeatureIds()
else:
selected_ids = []
results, ok = alg.run(parameters, context, feedback)
if ok:
result_layer = QgsProcessingUtils.mapLayerFromString(results['OUTPUT'], context)
# TODO: check if features have changed before delete/add cycle
new_features = []
# Check if there are any skipped features
if context.invalidGeometryCheck() == QgsFeatureRequest.GeometrySkipInvalid:
missing_ids = list(set(selected_ids) - set(result_layer.allFeatureIds()))
if missing_ids:
for f in active_layer.getFeatures(QgsFeatureRequest(missing_ids)):
if not f.geometry().isGeosValid():
new_features.append(f)
active_layer.deleteFeatures(active_layer.selectedFeatureIds())
for f in result_layer.getFeatures():
new_features.extend(QgsVectorLayerUtils.
makeFeaturesCompatible([f], active_layer))
# Get the new ids
old_ids = set([f.id() for f in active_layer.getFeatures(req)])
if not active_layer.addFeatures(new_features):
raise QgsProcessingException(tr("Error adding processed features back into the layer."))
new_ids = set([f.id() for f in active_layer.getFeatures(req)])
new_feature_ids += list(new_ids - old_ids)
active_layer.endEditCommand()
if ok and new_feature_ids:
active_layer.selectByIds(new_feature_ids)
elif not ok:
active_layer.rollBack()
return ok, results
except QgsProcessingException as e:
active_layer.endEditCommand()
active_layer.rollBack()
if raise_exceptions:
raise e
QgsMessageLog.logMessage(str(sys.exc_info()[0]), 'Processing', Qgis.Critical)
if feedback is not None:
feedback.reportError(getattr(e, 'msg', str(e)), fatalError=True)
return False, {}
def runGdal(commands, feedback=None):
if feedback is None:
feedback = QgsProcessingFeedback()
envval = os.getenv('PATH')
# We need to give some extra hints to get things picked up on OS X
isDarwin = False
try:
isDarwin = platform.system() == 'Darwin'
except IOError: # https://travis-ci.org/m-kuhn/QGIS#L1493-L1526
pass
if isDarwin and os.path.isfile(os.path.join(QgsApplication.prefixPath(), "bin", "gdalinfo")):
# Looks like there's a bundled gdal. Let's use it.
os.environ['PATH'] = "{}{}{}".format(os.path.join(QgsApplication.prefixPath(), "bin"), os.pathsep, envval)
os.environ['DYLD_LIBRARY_PATH'] = os.path.join(QgsApplication.prefixPath(), "lib")
else:
# Other platforms should use default gdal finder codepath
settings = QgsSettings()
path = settings.value('/GdalTools/gdalPath', '')
if not path.lower() in envval.lower().split(os.pathsep):
envval += '{}{}'.format(os.pathsep, path)
os.putenv('PATH', envval)
fused_command = ' '.join([str(c) for c in commands])
QgsMessageLog.logMessage(fused_command, 'Processing', Qgis.Info)
feedback.pushInfo(GdalUtils.tr('GDAL command:'))
feedback.pushCommandInfo(fused_command)
feedback.pushInfo(GdalUtils.tr('GDAL command output:'))
loglines = [GdalUtils.tr('GDAL execution console output')]
def on_stdout(ba):
val = ba.data().decode('UTF-8')
# catch progress reports
if val == '100 - done.':
on_stdout.progress = 100
feedback.setProgress(on_stdout.progress)
elif val in ('0', '10', '20', '30', '40', '50', '60', '70', '80', '90'):
on_stdout.progress = int(val)
feedback.setProgress(on_stdout.progress)
elif val == '.':
on_stdout.progress += 2.5
feedback.setProgress(on_stdout.progress)
on_stdout.buffer += val
if on_stdout.buffer.endswith('\n') or on_stdout.buffer.endswith('\r'):
# flush buffer
feedback.pushConsoleInfo(on_stdout.buffer.rstrip())
loglines.append(on_stdout.buffer.rstrip())
on_stdout.buffer = ''
on_stdout.progress = 0
on_stdout.buffer = ''
def on_stderr(ba):
val = ba.data().decode('UTF-8')
on_stderr.buffer += val
if on_stderr.buffer.endswith('\n') or on_stderr.buffer.endswith('\r'):
# flush buffer
feedback.reportError(on_stderr.buffer.rstrip())
loglines.append(on_stderr.buffer.rstrip())
on_stderr.buffer = ''
on_stderr.buffer = ''
command, *arguments = QgsRunProcess.splitCommand(fused_command)
proc = QgsBlockingProcess(command, arguments)
proc.setStdOutHandler(on_stdout)
proc.setStdErrHandler(on_stderr)
res = proc.run(feedback)
if feedback.isCanceled() and res != 0:
feedback.pushInfo(GdalUtils.tr('Process was canceled and did not complete'))
elif not feedback.isCanceled() and proc.exitStatus() == QProcess.CrashExit:
raise QgsProcessingException(GdalUtils.tr('Process was unexpectedly terminated'))
elif res == 0:
feedback.pushInfo(GdalUtils.tr('Process completed successfully'))
elif proc.processError() == QProcess.FailedToStart:
raise QgsProcessingException(GdalUtils.tr('Process {} failed to start. Either {} is missing, or you may have insufficient permissions to run the program.').format(command, command))
else:
feedback.reportError(GdalUtils.tr('Process returned error code {}').format(res))
return loglines
def mergeDataSources2Vrt(self,
dataSources,
outFile,
union=False,
relative=False,
schema=False,
feedback=None):
'''Function to do the work of merging datasources in a single vrt format
@param data_sources: Array of path strings
@param outfile: the output vrt file to generate
@param relative: Write relative flag. DOES NOT relativise paths. They have to be already relative
@param schema: Schema flag
@return: vrt in string format
'''
if feedback is None:
feedback = QgsProcessingFeedback()
vrt = '<OGRVRTDataSource>'
if union:
vrt += '<OGRVRTUnionLayer name="UnionedLayer">'
total = 100.0 / len(dataSources) if dataSources else 1
for current, layer in enumerate(dataSources):
if feedback.isCanceled():
break
feedback.setProgress(int(current * total))
inFile = layer.source()
srcDS = ogr.Open(inFile, 0)
if srcDS is None:
raise QgsProcessingException(
self.tr('Invalid datasource: {}'.format(inFile)))
if schema:
inFile = '@dummy@'
for layer in srcDS:
layerDef = layer.GetLayerDefn()
layerName = layerDef.GetName()
vrt += '<OGRVRTLayer name="{}">'.format(self.XmlEsc(layerName))
vrt += '<SrcDataSource relativeToVRT="{}" shared="{}">{}</SrcDataSource>'.format(
1 if relative else 0, not schema, self.XmlEsc(inFile))
if schema:
vrt += '<SrcLayer>@dummy@</SrcLayer>'
else:
vrt += '<SrcLayer>{}</SrcLayer>'.format(
self.XmlEsc(layerName))
vrt += '<GeometryType>{}</GeometryType>'.format(
self.GeomType2Name(layerDef.GetGeomType()))
crs = layer.GetSpatialRef()
if crs is not None:
vrt += '<LayerSRS>{}</LayerSRS>'.format(
self.XmlEsc(crs.ExportToWkt()))
# Process all the fields.
for fieldIdx in range(layerDef.GetFieldCount()):
fieldDef = layerDef.GetFieldDefn(fieldIdx)
vrt += '<Field name="{}" type="{}"'.format(
self.XmlEsc(fieldDef.GetName()),
self.fieldType2Name(fieldDef.GetType()))
if not schema:
vrt += ' src="{}"'.format(
self.XmlEsc(fieldDef.GetName()))
if fieldDef.GetWidth() > 0:
vrt += ' width="{}"'.format(fieldDef.GetWidth())
if fieldDef.GetPrecision() > 0:
vrt += ' precision="{}"'.format(
fieldDef.GetPrecision())
vrt += '/>'
vrt += '</OGRVRTLayer>'
srcDS.Destroy()
if union:
vrt += '</OGRVRTUnionLayer>'
vrt += '</OGRVRTDataSource>'
#TODO: pretty-print XML
if outFile is not None:
with codecs.open(outFile, 'w') as f:
f.write(vrt)
return vrt
def processAlgorithm(
self, parameters: Dict[str, Any], context: QgsProcessingContext,
feedback: QgsProcessingFeedback) -> Union[dict, Dict[str, Any]]:
# Словарь в котором будут сохраняться результаты работы алгоритма
result = dict()
# Получаем переданные на вход параметры
source: QgsFeatureSource = self.parameterAsSource(
parameters, self.SAMPLES, context)
if self.MOSAIC in parameters and parameters[self.MOSAIC]:
whole_mosaic: Optional[
QgsRasterLayer] = self.parameterAsRasterLayer(
parameters, self.MOSAIC, context)
else:
whole_mosaic = None
horresolution: float = self.parameterAsDouble(parameters,
self.HORRESOLUTION,
context)
vertresolution: float = self.parameterAsDouble(parameters,
self.VERTRESOLUTION,
context)
width: int = self.parameterAsInt(parameters, self.WIDTH, context)
height: int = self.parameterAsInt(parameters, self.HEIGHT, context)
dest_crs: QgsCoordinateReferenceSystem = self.parameterAsCrs(
parameters, self.CRS, context)
if self.FOLDER in parameters and parameters[self.FOLDER]:
folder: Optional[str] = self.parameterAsFileOutput(
parameters, self.FOLDER, context)
else:
folder = None
saveonesample: bool = self.parameterAsBoolean(parameters,
self.SAVEONESAMPLE,
context)
step = 0
model_feedback = QgsProcessingMultiStepFeedback(4, feedback)
if feedback.isCanceled():
return result
# Запускаем загруженный из файла алгоритм, который создает слои INTERSECTION и GRID
temp_grid_id = processing.run(
self.grid_model.model(), {
'CRS':
dest_crs,
'SAMPLES':
parameters[self.SAMPLES],
'HORRESOLUTION':
horresolution,
'VERTRESOLUTION':
vertresolution,
'HEIGHT':
height,
'WIDTH':
width,
'VERBOSE_LOG':
True,
'native:renametablefield_1:{}'.format(self.GRID):
'TEMPORARY_OUTPUT'
},
context=context,
feedback=model_feedback,
is_child_algorithm=True)['native:renametablefield_1:{}'.format(
self.GRID)]
step += 1
model_feedback.setCurrentStep(step)
if feedback.isCanceled():
return result
temp_grid: QgsVectorLayer = context.takeResultLayer(temp_grid_id)
if whole_mosaic and folder:
# Извлекаем екстент из мозаики и любую (первую) точку из грида, чтобы по ним вычислить смещение
mosaic_extent: QgsRectangle = whole_mosaic.extent()
first_point: QgsPoint = temp_grid.getFeatures().__next__(
).geometry().vertices().__next__()
# вычисляем смещения и двигаем грид
translated_grid_id = processing.run(
"native:translategeometry", {
'INPUT': temp_grid,
'DELTA_X': (mosaic_extent.xMaximum() - first_point.x()) %
horresolution,
'DELTA_Y': (mosaic_extent.yMaximum() - first_point.y()) %
vertresolution,
'DELTA_Z': 0,
'DELTA_M': 0,
'OUTPUT': 'TEMPORARY_OUTPUT'
},
context=context,
feedback=model_feedback,
is_child_algorithm=True)['OUTPUT']
translated_grid: QgsVectorLayer = context.takeResultLayer(
translated_grid_id)
else:
translated_grid_id = temp_grid_id
translated_grid = temp_grid
step += 1
model_feedback.setCurrentStep(step)
if feedback.isCanceled():
return result
temp_intersection_id = processing.run(
self.intersection_model.model(), {
'CRS':
dest_crs,
'SAMPLES':
parameters[self.SAMPLES],
'GRID':
translated_grid,
'VERBOSE_LOG':
True,
'native:intersection_1:{}'.format(self.INTERSECTION):
'TEMPORARY_OUTPUT'
},
context=context,
feedback=model_feedback,
is_child_algorithm=True)['native:intersection_1:{}'.format(
self.INTERSECTION)]
temp_intersection: QgsVectorLayer = context.takeResultLayer(
temp_intersection_id)
# Создаем выходные слои, записываем в них features и сохраняем с словарь результатов result
(intersection,
intersection_id) = self.parameterAsSink(parameters, self.INTERSECTION,
context,
temp_intersection.fields(),
temp_intersection.wkbType(),
temp_intersection.sourceCrs())
(grid, grid_id) = self.parameterAsSink(parameters, self.GRID, context,
translated_grid.fields(),
translated_grid.wkbType(),
translated_grid.sourceCrs())
intersection.addFeatures(temp_intersection.getFeatures())
grid.addFeatures(translated_grid.getFeatures())
result.update({self.INTERSECTION: intersection_id, self.GRID: grid_id})
step += 1
model_feedback.setCurrentStep(step)
if feedback.isCanceled():
return result
# Поля для выходного слоя RLE
rle_fields = QgsFields()
rle_fields.append(QgsField("Image_Label", QVariant.String))
rle_fields.append(QgsField("EncodedPixels", QVariant.String))
# Выходной слой RLE
(rle, rle_id) = self.parameterAsSink(parameters, self.RLE, context,
rle_fields,
translated_grid.wkbType(),
QgsCoordinateReferenceSystem())
rle: QgsFeatureSink
store: QgsMapLayerStore = QgsProject.instance().layerStore()
# Добавляем слои в хранилище слоев проекта, чтобы их id видел QgsProcessingFeatureSourceDefinition
store.addMapLayer(temp_intersection)
store.addMapLayer(translated_grid)
# Индикатор для сохранения одного растра с sample
first = True
# Цикл по каждому тайлу из GRID
for current, tile_feat in enumerate(translated_grid.getFeatures()):
tile_feat: QgsFeature
if feedback.isCanceled():
return result
# для каждого тайла создаем запрос по которому будут запрошены соответствующие feature из INTERSECTION
expression = QgsExpression().createFieldEqualityExpression(
"tile_id", tile_feat["tile_id"])
request = QgsFeatureRequest()
request.setFilterExpression(expression)
# Цикл по всем feature в INTERSECTION
for samle_feat in temp_intersection.getFeatures(request):
samle_feat: QgsFeature
# выделяем в слое INTERSECTION текущую feature, чтобы только ее передать в алгоритм обрезки растра
temp_intersection.selectByIds([samle_feat.id()])
# Превращаем текущую feature из INTERSECTION в растр, экстент растра задаем по текущему тайлу
bin_raster = processing.run("gdal:rasterize", {
'BURN':
1,
'DATA_TYPE':
0,
'EXTENT':
tile_feat.geometry().boundingBox(),
'EXTRA':
'',
'FIELD':
'',
'HEIGHT':
vertresolution,
'INIT':
None,
'INPUT':
QgsProcessingFeatureSourceDefinition(
temp_intersection.id(), selectedFeaturesOnly=True),
'INVERT':
False,
'NODATA':
0,
'OPTIONS':
'NBITS=1',
'OUTPUT':
'TEMPORARY_OUTPUT',
'UNITS':
1,
'WIDTH':
horresolution
},
context=context,
feedback=model_feedback,
is_child_algorithm=True)['OUTPUT']
# Получаем результат работы алгоритма в виде растра
bin_raster: QgsRasterLayer = QgsProcessingUtils.mapLayerFromString(
bin_raster, context)
if first and folder and saveonesample:
first = False
save_raster(
bin_raster, folder,
str(tile_feat["tile_id"]).zfill(5) + '_sample.tif')
# Получаем строку RLE
raster_rle_string = rle_encode(
convertRasterToNumpyArray(bin_raster))
# Записываем строку с описанием RLE в слой RLE
feat = QgsFeature(rle_fields)
feat["Image_Label"] = tile_feat["tile_id"]
feat["EncodedPixels"] = raster_rle_string
rle.addFeatures([feat])
if feedback.isCanceled():
return result
# если указаны мозаика и выходная папка, то обрезаем мозаику по текущему тайлу GRID
if whole_mosaic and folder:
if feedback.isCanceled():
return result
# выделяем в слое GRID текущий тайл, чтобы только его передать в алгоритм обрезки растра
translated_grid.selectByIds([tile_feat.id()])
mosaic_tile_temp_raster = processing.run(
"gdal:cliprasterbymasklayer",
{
'ALPHA_BAND':
False,
'CROP_TO_CUTLINE':
True,
'DATA_TYPE':
0,
'EXTRA':
'',
'INPUT':
whole_mosaic,
'KEEP_RESOLUTION':
False,
# 'MASK': single_grid,
'MASK':
QgsProcessingFeatureSourceDefinition(
translated_grid.id(), selectedFeaturesOnly=True),
'MULTITHREADING':
False,
'NODATA':
None,
'OPTIONS':
'',
# 'OUTPUT': 'TEMPORARY_OUTPUT',
'OUTPUT':
os.path.join(folder,
str(tile_feat["tile_id"]).zfill(5)) +
'.tif',
'SET_RESOLUTION':
True,
'SOURCE_CRS':
None,
'TARGET_CRS':
None,
'X_RESOLUTION':
abs(whole_mosaic.rasterUnitsPerPixelX()),
'Y_RESOLUTION':
abs(whole_mosaic.rasterUnitsPerPixelX())
},
context=context,
feedback=model_feedback,
is_child_algorithm=True)["OUTPUT"]
if feedback.isCanceled():
return result
store.removeMapLayer(temp_intersection)
store.removeMapLayer(translated_grid)
step += 1
model_feedback.setCurrentStep(step)
if feedback.isCanceled():
return result
result.update({self.RLE: rle_id})
return result
