[QGIS-Developer] Error when saving Processing Script QGIS master

[erno]

Hi Matteo,
So, here is an example processing script that works in QGIS 3.0.0. I took
it, including the comments, from the result that  Plugin Builder
<https://plugins.qgis.org/plugins/pluginbuilder/>   by  GeoApt LLC
<http://geoapt.net/>   creates for processing:
# -*- coding: utf-8 -*-from PyQt5.QtCore import QCoreApplicationfrom
qgis.core import (QgsProcessing,                   QgsFeatureSink,                  
QgsProcessingAlgorithm,                  
QgsProcessingParameterFeatureSource,                  
QgsProcessingParameterFeatureSink)class
ExampleProcessingAlgorithm(QgsProcessingAlgorithm):    """    This is an
example algorithm that takes a vector layer and    creates a new identical
one.    It is meant to be used as an example of how to create your own   
algorithms and explain methods and variables used to do it. An    algorithm
like this will be available in all elements, and there    is not need for
additional work.    All Processing algorithms should extend the
QgsProcessingAlgorithm    class.    """    # Constants used to refer to
parameters and outputs. They will be    # used when calling the algorithm
from another algorithm, or when    # calling from the QGIS console.   
OUTPUT = 'OUTPUT'    INPUT = 'INPUT'    def initAlgorithm(self,
config=None):        """        Here we define the inputs and output of the
algorithm, along        with some other properties.        """        # We
add the input vector features source. It can have any kind of        #
geometry.        self.addParameter(           
QgsProcessingParameterFeatureSource(                self.INPUT,               
self.tr('Input layer'),                [QgsProcessing.TypeVectorAnyGeometry]           
)        )        # We add a feature sink in which to store our processed
features (this        # usually takes the form of a newly created vector
layer when the        # algorithm is run in QGIS).        self.addParameter(           
QgsProcessingParameterFeatureSink(                self.OUTPUT,               
self.tr('Output layer')            )        )    def processAlgorithm(self,
parameters, context, feedback):        """        Here is where the
processing itself takes place.        """        # Retrieve the feature
source and sink. The 'dest_id' variable is used        # to uniquely
identify the feature sink, and must be included in the        # dictionary
returned by the processAlgorithm function.        source =
self.parameterAsSource(parameters, self.INPUT, context)        (sink,
dest_id) = self.parameterAsSink(parameters, self.OUTPUT,            context,
source.fields(), source.wkbType(), source.sourceCrs())        # Compute the
number of steps to display within the progress bar and        # get features
from source        total = 100.0 / source.featureCount() if
source.featureCount() else 0        features = source.getFeatures()       
for current, feature in enumerate(features):            # Stop the algorithm
if cancel button has been clicked            if feedback.isCanceled():               
break            # Add a feature in the sink           
sink.addFeature(feature, QgsFeatureSink.FastInsert)            # Update the
progress bar            feedback.setProgress(int(current * total))        #
Return the results of the algorithm. In this case our only result is       
# the feature sink which contains the processed features, but some        #
algorithms may return multiple feature sinks, calculated numeric        #
statistics, etc. These should all be included in the returned        #
dictionary, with keys matching the feature corresponding parameter        #
or output names.        return {self.OUTPUT: dest_id}    def name(self):       
"""        Returns the algorithm name, used for identifying the algorithm.
This        string should be fixed for the algorithm, and must not be
localised.        The name should be unique within each provider. Names
should contain        lowercase alphanumeric characters only and no spaces
or other        formatting characters.        """        return
'duplicatevectorlayer'    def displayName(self):        """        Returns
the translated algorithm name, which should be used for any       
user-visible display of the algorithm name.        """        return
self.tr('Duplicate a vector layer')    def group(self):        """       
Returns the name of the group this algorithm belongs to. This string       
should be localised.        """        return self.tr('Example scripts')   
def groupId(self):        """        Returns the unique ID of the group this
algorithm belongs to. This        string should be fixed for the algorithm,
and must not be localised.        The group id should be unique within each
provider. Group id should        contain lowercase alphanumeric characters
only and no spaces or other        formatting characters.        """       
return 'examplescripts'    def tr(self, string):        return
QCoreApplication.translate('Processing', string)    def
createInstance(self):        return ExampleProcessingAlgorithm()
Best regards,
Erno



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