def runAlgorithm(algOrName, parameters, onFinish=None, feedback=None, context=None):
if isinstance(algOrName, QgsProcessingAlgorithm):
alg = algOrName
else:
alg = QgsApplication.processingRegistry().algorithmById(algOrName)
if feedback is None:
feedback = MessageBarProgress(alg.displayName() if alg else Processing.tr('Processing'))
if alg is None:
# fix_print_with_import
print('Error: Algorithm not found\n')
msg = Processing.tr('Error: Algorithm {0} not found\n').format(algOrName)
feedback.reportError(msg)
raise GeoAlgorithmExecutionException(msg)
# check for any mandatory parameters which were not specified
for param in alg.parameterDefinitions():
if param.name() not in parameters:
if not param.flags() & QgsProcessingParameterDefinition.FlagOptional:
# fix_print_with_import
msg = Processing.tr('Error: Missing parameter value for parameter {0}.').format(param.name())
print('Error: Missing parameter value for parameter %s.' % param.name())
feedback.reportError(msg)
raise GeoAlgorithmExecutionException(msg)
if context is None:
context = dataobjects.createContext(feedback)
ok, msg = alg.checkParameterValues(parameters, context)
if not ok:
# fix_print_with_import
print('Unable to execute algorithm\n' + str(msg))
msg = Processing.tr('Unable to execute algorithm\n{0}').format(msg)
feedback.reportError(msg)
raise GeoAlgorithmExecutionException(msg)
if not alg.validateInputCrs(parameters, context):
print('Warning: Not all input layers use the same CRS.\n' +
'This can cause unexpected results.')
feedback.pushInfo(
Processing.tr('Warning: Not all input layers use the same CRS.\nThis can cause unexpected results.'))
ret, results = execute(alg, parameters, context, feedback)
if ret:
feedback.pushInfo(
Processing.tr('Results: {}').format(results))
if onFinish is not None:
onFinish(alg, context, feedback)
else:
msg = Processing.tr("There were errors executing the algorithm.")
feedback.reportError(msg)
raise GeoAlgorithmExecutionException(msg)
if isinstance(feedback, MessageBarProgress):
feedback.close()
return results
def runAlgorithm(algOrName, parameters, onFinish=None, feedback=None, context=None):
if isinstance(algOrName, QgsProcessingAlgorithm):
alg = algOrName
else:
alg = QgsApplication.processingRegistry().createAlgorithmById(algOrName)
if feedback is None:
feedback = MessageBarProgress(alg.displayName() if alg else Processing.tr('Processing'))
if alg is None:
# fix_print_with_import
print('Error: Algorithm not found\n')
msg = Processing.tr('Error: Algorithm {0} not found\n').format(algOrName)
feedback.reportError(msg)
raise QgsProcessingException(msg)
# check for any mandatory parameters which were not specified
for param in alg.parameterDefinitions():
if param.name() not in parameters:
if not param.flags() & QgsProcessingParameterDefinition.FlagOptional:
# fix_print_with_import
msg = Processing.tr('Error: Missing parameter value for parameter {0}.').format(param.name())
print('Error: Missing parameter value for parameter %s.' % param.name())
feedback.reportError(msg)
raise QgsProcessingException(msg)
if context is None:
context = dataobjects.createContext(feedback)
ok, msg = alg.checkParameterValues(parameters, context)
if not ok:
# fix_print_with_import
print('Unable to execute algorithm\n' + str(msg))
msg = Processing.tr('Unable to execute algorithm\n{0}').format(msg)
feedback.reportError(msg)
raise QgsProcessingException(msg)
if not alg.validateInputCrs(parameters, context):
print('Warning: Not all input layers use the same CRS.\n' +
'This can cause unexpected results.')
feedback.pushInfo(
Processing.tr('Warning: Not all input layers use the same CRS.\nThis can cause unexpected results.'))
ret, results = execute(alg, parameters, context, feedback)
if ret:
feedback.pushInfo(
Processing.tr('Results: {}').format(results))
if onFinish is not None:
onFinish(alg, context, feedback)
else:
# auto convert layer references in results to map layers
for out in alg.outputDefinitions():
if isinstance(out, (QgsProcessingOutputVectorLayer, QgsProcessingOutputRasterLayer, QgsProcessingOutputMapLayer)):
result = results[out.name()]
if not isinstance(result, QgsMapLayer):
layer = context.takeResultLayer(result) # transfer layer ownership out of context
if layer:
results[out.name()] = layer # replace layer string ref with actual layer (+ownership)
else:
msg = Processing.tr("There were errors executing the algorithm.")
feedback.reportError(msg)
raise QgsProcessingException(msg)
if isinstance(feedback, MessageBarProgress):
feedback.close()
return results
def runAlgorithm(algOrName, parameters, onFinish=None, feedback=None, context=None):
if isinstance(algOrName, QgsProcessingAlgorithm):
alg = algOrName
else:
alg = QgsApplication.processingRegistry().createAlgorithmById(algOrName)
if feedback is None:
feedback = MessageBarProgress(alg.displayName() if alg else Processing.tr('Processing'))
if alg is None:
# fix_print_with_import
print('Error: Algorithm not found\n')
msg = Processing.tr('Error: Algorithm {0} not found\n').format(algOrName)
feedback.reportError(msg)
raise QgsProcessingException(msg)
# check for any mandatory parameters which were not specified
for param in alg.parameterDefinitions():
if param.name() not in parameters:
if not param.flags() & QgsProcessingParameterDefinition.FlagOptional:
# fix_print_with_import
msg = Processing.tr('Error: Missing parameter value for parameter {0}.').format(param.name())
print('Error: Missing parameter value for parameter %s.' % param.name())
feedback.reportError(msg)
raise QgsProcessingException(msg)
if context is None:
context = dataobjects.createContext(feedback)
ok, msg = alg.checkParameterValues(parameters, context)
if not ok:
# fix_print_with_import
print('Unable to execute algorithm\n' + str(msg))
msg = Processing.tr('Unable to execute algorithm\n{0}').format(msg)
feedback.reportError(msg)
raise QgsProcessingException(msg)
if not alg.validateInputCrs(parameters, context):
print('Warning: Not all input layers use the same CRS.\n' +
'This can cause unexpected results.')
feedback.pushInfo(
Processing.tr('Warning: Not all input layers use the same CRS.\nThis can cause unexpected results.'))
ret, results = execute(alg, parameters, context, feedback)
if ret:
feedback.pushInfo(
Processing.tr('Results: {}').format(results))
if onFinish is not None:
onFinish(alg, context, feedback)
else:
# auto convert layer references in results to map layers
for out in alg.outputDefinitions():
if isinstance(out, (QgsProcessingOutputVectorLayer, QgsProcessingOutputRasterLayer, QgsProcessingOutputMapLayer)):
result = results[out.name()]
if not isinstance(result, QgsMapLayer):
layer = context.takeResultLayer(result) # transfer layer ownership out of context
if layer:
results[out.name()] = layer # replace layer string ref with actual layer (+ownership)
else:
msg = Processing.tr("There were errors executing the algorithm.")
feedback.reportError(msg)
raise QgsProcessingException(msg)
if isinstance(feedback, MessageBarProgress):
feedback.close()
return results