def showExpressionsBuilder(self):
context = createExpressionContext()
dlg = QgsExpressionBuilderDialog(None, str(self.spnValue.value()), self, 'generic', context)
dlg.setWindowTitle(self.tr('Expression based input'))
if dlg.exec_() == QDialog.Accepted:
exp = QgsExpression(dlg.expressionText())
if not exp.hasParserError():
try:
val = float(exp.evaluate(context))
self.setValue(val)
except:
return
def showExpressionsBuilder(self):
context = createExpressionContext()
dlg = QgsExpressionBuilderDialog(None, str(self.leText.text()), self, 'generic', context)
context.popScope()
values = self.modelParametersDialog.getAvailableValuesOfType(QgsProcessingParameterNumber, QgsProcessingOutputNumber)
variables = {}
for value in values:
if isinstance(value, QgsProcessingModelAlgorithm.ChildParameterSource):
if value.source() == QgsProcessingModelAlgorithm.ChildParameterSource.ModelParameter:
name = value.parameterName()
element = self.modelParametersDialog.model.parameterDefinition(name)
desc = element.description()
elif value.source() == QgsProcessingModelAlgorithm.ChildParameterSource.ChildOutput:
name = "%s_%s" % (value.outputChildId(), value.outputName())
alg = self.modelParametersDialog.model.childAlgorithm(value.outputChildId())
out = alg.algorithm().outputDefinition(value.outputName())
desc = self.tr("Output '{0}' from algorithm '{1}'").format(out.description(), alg.description())
variables[name] = desc
values = self.modelParametersDialog.getAvailableValuesOfType([QgsProcessingParameterFeatureSource, QgsProcessingParameterRasterLayer],
[QgsProcessingOutputVectorLayer, QgsProcessingOutputRasterLayer])
for value in values:
if isinstance(value, QgsProcessingModelAlgorithm.ChildParameterSource):
if value.source() == QgsProcessingModelAlgorithm.ChildParameterSource.ModelParameter:
name = value.parameterName()
element = self.modelParametersDialog.model.parameterDefinition(name)
desc = element.description()
elif value.source() == QgsProcessingModelAlgorithm.ChildParameterSource.ChildOutput:
name = "%s_%s" % (value.outputChildId(), value.outputName())
alg = self.modelParametersDialog.model.childAlgorithm(value.outputChildId())
out = alg.algorithm().outputDefinition(value.outputName())
desc = self.tr("Output '{0}' from algorithm '{1}'").format(out.description(), alg.description())
variables['%s_minx' % name] = self.tr("Minimum X of {0}").format(desc)
variables['%s_miny' % name] = self.tr("Minimum Y of {0}").format(desc)
variables['%s_maxx' % name] = self.tr("Maximum X of {0}").format(desc)
variables['%s_maxy' % name] = self.tr("Maximum Y of {0}").format(desc)
if isinstance(element, (QgsProcessingParameterRasterLayer, QgsProcessingOutputRasterLayer)):
variables['%s_min' % name] = self.tr("Minimum value of {0}").format(desc)
variables['%s_max' % name] = self.tr("Maximum value of {0}").format(desc)
variables['%s_avg' % name] = self.tr("Mean value of {0}").format(desc)
variables['%s_stddev' % name] = self.tr("Standard deviation of {0}").format(desc)
for variable, desc in variables.items():
dlg.expressionBuilder().registerItem("Modeler", variable, "@" + variable, desc, highlightedItem=True)
dlg.setWindowTitle(self.tr('Expression based input'))
if dlg.exec_() == QDialog.Accepted:
exp = QgsExpression(dlg.expressionText())
if not exp.hasParserError():
self.setValue(dlg.expressionText())
def showExpressionsBuilder(self):
context = createExpressionContext()
processing_context = createContext()
scope = self.modelParametersDialog.model.createExpressionContextScopeForChildAlgorithm(self.modelParametersDialog.childId, processing_context)
context.appendScope(scope)
highlighted = scope.variableNames()
context.setHighlightedVariables(highlighted)
dlg = QgsExpressionBuilderDialog(None, str(self.leText.text()), self, 'generic', context)
dlg.setWindowTitle(self.tr('Expression Based Input'))
if dlg.exec_() == QDialog.Accepted:
exp = QgsExpression(dlg.expressionText())
if not exp.hasParserError():
self.setValue(dlg.expressionText())
def showExpressionsBuilder(self):
context = createExpressionContext()
dlg = QgsExpressionBuilderDialog(None, str(self.leText.text()), self, 'generic', context)
context.popScope()
values = self.modelParametersDialog.getAvailableValuesOfType(ParameterNumber, OutputNumber)
variables = {}
for value in values:
if isinstance(value, ValueFromInput):
name = value.name
element = self.modelParametersDialog.model.inputs[name].param
desc = element.description
else:
name = "%s_%s" % (value.alg, value.output)
alg = self.modelParametersDialog.model.algs[value.alg]
out = alg.algorithm.getOutputFromName(value.output)
desc = self.tr("Output '{0}' from algorithm '{1}'").format(out.description(), alg.description)
variables[name] = desc
values = self.modelParametersDialog.getAvailableValuesOfType(ParameterVector, OutputVector)
values.extend(self.modelParametersDialog.getAvailableValuesOfType(ParameterRaster, OutputRaster))
for value in values:
if isinstance(value, ValueFromInput):
name = value.name
element = self.modelParametersDialog.model.inputs[name].param
desc = element.description
else:
name = "%s_%s" % (value.alg, value.output)
alg = self.modelParametersDialog.model.algs[value.alg]
element = alg.algorithm.getOutputFromName(value.output)
desc = self.tr("Output '{0}' from algorithm '{1}'").format(element.description(), alg.description)
variables['%s_minx' % name] = self.tr("Minimum X of {0}").format(desc)
variables['%s_miny' % name] = self.tr("Minimum Y of {0}").format(desc)
variables['%s_maxx' % name] = self.tr("Maximum X of {0}").format(desc)
variables['%s_maxy' % name] = self.tr("Maximum Y of {0}").format(desc)
if isinstance(element, (ParameterRaster, OutputRaster)):
variables['%s_min' % name] = self.tr("Minimum value of {0}").format(desc)
variables['%s_max' % name] = self.tr("Maximum value of {0}").format(desc)
variables['%s_avg' % name] = self.tr("Mean value of {0}").format(desc)
variables['%s_stddev' % name] = self.tr("Standard deviation of {0}").format(desc)
for variable, desc in variables.items():
dlg.expressionBuilder().registerItem("Modeler", variable, "@" + variable, desc, highlightedItem=True)
dlg.setWindowTitle(self.tr('Expression based input'))
if dlg.exec_() == QDialog.Accepted:
exp = QgsExpression(dlg.expressionText())
if not exp.hasParserError():
self.setValue(dlg.expressionText())
def showExpressionsBuilder(self):
context = createExpressionContext()
processing_context = createContext()
scope = self.modelParametersDialog.model.createExpressionContextScopeForChildAlgorithm(
self.modelParametersDialog.childId, processing_context)
context.appendScope(scope)
highlighted = scope.variableNames()
context.setHighlightedVariables(highlighted)
dlg = QgsExpressionBuilderDialog(None, str(self.leText.text()), self,
'generic', context)
dlg.setWindowTitle(self.tr('Expression based input'))
if dlg.exec_() == QDialog.Accepted:
exp = QgsExpression(dlg.expressionText())
if not exp.hasParserError():
self.setValue(dlg.expressionText())
def showExpressionsBuilder(self):
context = createExpressionContext()
dlg = QgsExpressionBuilderDialog(None, str(self.leText.text()), self,
'generic', context)
context.popScope()
values = self.modelParametersDialog.getAvailableValuesOfType(
ParameterNumber, OutputNumber)
variables = {}
for value in values:
if isinstance(value, ValueFromInput):
name = value.name
element = self.modelParametersDialog.model.inputs[name].param
desc = element.description
else:
name = "%s_%s" % (value.alg, value.output)
alg = self.modelParametersDialog.model.algs[value.alg]
out = alg.algorithm.getOutputFromName(value.output)
desc = self.tr("Output '{0}' from algorithm '{1}'").format(
out.description(), alg.description)
variables[name] = desc
values = self.modelParametersDialog.getAvailableValuesOfType(
ParameterVector, OutputVector)
values.extend(
self.modelParametersDialog.getAvailableValuesOfType(
ParameterRaster, OutputRaster))
for value in values:
if isinstance(value, ValueFromInput):
name = value.name
element = self.modelParametersDialog.model.inputs[name].param
desc = element.description
else:
name = "%s_%s" % (value.alg, value.output)
alg = self.modelParametersDialog.model.algs[value.alg]
element = alg.algorithm.getOutputFromName(value.output)
desc = self.tr("Output '{0}' from algorithm '{1}'").format(
element.description(), alg.description)
variables['%s_minx' %
name] = self.tr("Minimum X of {0}").format(desc)
variables['%s_miny' %
name] = self.tr("Minimum Y of {0}").format(desc)
variables['%s_maxx' %
name] = self.tr("Maximum X of {0}").format(desc)
variables['%s_maxy' %
name] = self.tr("Maximum Y of {0}").format(desc)
if isinstance(element, (ParameterRaster, OutputRaster)):
variables['%s_min' %
name] = self.tr("Minimum value of {0}").format(desc)
variables['%s_max' %
name] = self.tr("Maximum value of {0}").format(desc)
variables['%s_avg' %
name] = self.tr("Mean value of {0}").format(desc)
variables['%s_stddev' % name] = self.tr(
"Standard deviation of {0}").format(desc)
for variable, desc in variables.items():
dlg.expressionBuilder().registerItem("Modeler",
variable,
"@" + variable,
desc,
highlightedItem=True)
dlg.setWindowTitle(self.tr('Expression based input'))
if dlg.exec_() == QDialog.Accepted:
exp = QgsExpression(dlg.expressionText())
if not exp.hasParserError():
self.setValue(dlg.expressionText())
def showExpressionsBuilder(self):
context = createExpressionContext()
dlg = QgsExpressionBuilderDialog(None, str(self.leText.text()), self,
'generic', context)
context.popScope()
values = self.modelParametersDialog.getAvailableValuesOfType(
QgsProcessingParameterNumber, QgsProcessingOutputNumber)
variables = {}
for value in values:
if isinstance(value,
QgsProcessingModelAlgorithm.ChildParameterSource):
if value.source(
) == QgsProcessingModelAlgorithm.ChildParameterSource.ModelParameter:
name = value.parameterName()
element = self.modelParametersDialog.model.parameterDefinition(
name)
desc = element.description()
elif value.source(
) == QgsProcessingModelAlgorithm.ChildParameterSource.ChildOutput:
name = "%s_%s" % (value.outputChildId(),
value.outputName())
alg = self.modelParametersDialog.model.childAlgorithm(
value.outputChildId())
out = alg.algorithm().outputDefinition(value.outputName())
desc = self.tr("Output '{0}' from algorithm '{1}'").format(
out.description(), alg.description())
variables[name] = desc
values = self.modelParametersDialog.getAvailableValuesOfType([
QgsProcessingParameterFeatureSource,
QgsProcessingParameterRasterLayer
], [QgsProcessingOutputVectorLayer, QgsProcessingOutputRasterLayer])
for value in values:
if isinstance(value,
QgsProcessingModelAlgorithm.ChildParameterSource):
if value.source(
) == QgsProcessingModelAlgorithm.ChildParameterSource.ModelParameter:
name = value.parameterName()
element = self.modelParametersDialog.model.parameterDefinition(
name)
desc = element.description()
elif value.source(
) == QgsProcessingModelAlgorithm.ChildParameterSource.ChildOutput:
name = "%s_%s" % (value.outputChildId(),
value.outputName())
alg = self.modelParametersDialog.model.childAlgorithm(
value.outputChildId())
out = alg.algorithm().outputDefinition(value.outputName())
desc = self.tr("Output '{0}' from algorithm '{1}'").format(
out.description(), alg.description())
variables['%s_minx' %
name] = self.tr("Minimum X of {0}").format(desc)
variables['%s_miny' %
name] = self.tr("Minimum Y of {0}").format(desc)
variables['%s_maxx' %
name] = self.tr("Maximum X of {0}").format(desc)
variables['%s_maxy' %
name] = self.tr("Maximum Y of {0}").format(desc)
if isinstance(element, (QgsProcessingParameterRasterLayer,
QgsProcessingOutputRasterLayer)):
variables['%s_min' %
name] = self.tr("Minimum value of {0}").format(desc)
variables['%s_max' %
name] = self.tr("Maximum value of {0}").format(desc)
variables['%s_avg' %
name] = self.tr("Mean value of {0}").format(desc)
variables['%s_stddev' % name] = self.tr(
"Standard deviation of {0}").format(desc)
for variable, desc in variables.items():
dlg.expressionBuilder().registerItem("Modeler",
variable,
"@" + variable,
desc,
highlightedItem=True)
dlg.setWindowTitle(self.tr('Expression based input'))
if dlg.exec_() == QDialog.Accepted:
exp = QgsExpression(dlg.expressionText())
if not exp.hasParserError():
self.setValue(dlg.expressionText())
