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17. Schreiben eines Prozessierungs-Plugins

Depending on the kind of plugin that you are going to develop, it might be a better option to add its functionality as a Processing algorithm (or a set of them). That would provide a better integration within QGIS, additional functionality (since it can be run in the components of Processing, such as the modeler or the batch processing interface), and a quicker development time (since Processing will take of a large part of the work).

To distribute those algorithms, you should create a new plugin that adds them to the Processing Toolbox. The plugin should contain an algorithm provider, which has to be registered when the plugin is instantiated.

17.1. Updating a plugin

If you want to add your existing plugin to Processing, you need to add some code.

1. In your metadata.txt file, you need to add a variable:

   hasProcessingProvider=yes
   

2. In the Python file where your plugin is setup with the initGui method, you need to adapt some lines like this:

   from qgis.core import QgsApplication
   from .processing_provider.provider import Provider
   
   class YourPluginName:
   
       def __init__(self):
           self.provider = None
   
       def initProcessing(self):
           self.provider = Provider()
           QgsApplication.processingRegistry().addProvider(self.provider)
   
       def initGui(self):
           self.initProcessing()
   
       def unload(self):
           QgsApplication.processingRegistry().removeProvider(self.provider)
   

3. You can create a folder processing_provider with three files in it:

   • __init__.py with nothing in it. This is necessary to make a valid Python package.

   • provider.py which will create the Processing provider and expose your algorithms.

     from qgis.core import QgsProcessingProvider
     from qgis.PyQt.QtGui import QIcon
     
     from .example_processing_algorithm import ExampleProcessingAlgorithm
     
     class Provider(QgsProcessingProvider):
     
         """ The provider of our plugin. """
     
         def loadAlgorithms(self):
             """ Load each algorithm into the current provider. """
             self.addAlgorithm(ExampleProcessingAlgorithm())
             # add additional algorithms here
             # self.addAlgorithm(MyOtherAlgorithm())
     
         def id(self) -> str:
             """The ID of your plugin, used for identifying the provider.
     
             This string should be a unique, short, character only string,
             eg "qgis" or "gdal". This string should not be localised.
             """
             return 'yourplugin'
     
         def name(self) -> str:
             """The human friendly name of your plugin in Processing.
     
             This string should be as short as possible (e.g. "Lastools", not
             "Lastools version 1.0.1 64-bit") and localised.
             """
             return self.tr('Your plugin')
     
         def icon(self) -> QIcon:
             """Should return a QIcon which is used for your provider inside
             the Processing toolbox.
             """
             return QgsProcessingProvider.icon(self)
     

   • example_processing_algorithm.py which contains the example algorithm file. Copy/paste the content of the script template file and update it according to your needs.

   You should have a tree similar to this:

   └── your_plugin_root_folder
      ├── __init__.py
      ├── LICENSE
      ├── metadata.txt
      └── processing_provider
            ├── example_processing_algorithm.py
            ├── __init__.py
            └── provider.py
   

4. Now you can reload your plugin in QGIS and you should see your example script in the Processing toolbox and modeler.

17.1.1. Creating a custom algorithm

Here’s a simple example of a custom buffer algorithm:

from qgis.core import (
    QgsProcessingAlgorithm,
    QgsProcessingParameterFeatureSource,
    QgsProcessingParameterNumber,
    QgsProcessingParameterFeatureSink,
    QgsFeatureSink,
)

class BufferAlgorithm(QgsProcessingAlgorithm):

    INPUT = 'INPUT'
    DISTANCE = 'DISTANCE'
    OUTPUT = 'OUTPUT'

    def initAlgorithm(self, config=None):
        self.addParameter(QgsProcessingParameterFeatureSource(self.INPUT, 'Input layer'))
        self.addParameter(QgsProcessingParameterNumber(self.DISTANCE, 'Buffer distance', defaultValue=100.0))
        self.addParameter(QgsProcessingParameterFeatureSink(self.OUTPUT, 'Output layer'))

    def processAlgorithm(self, parameters, context, feedback):
        source = self.parameterAsSource(parameters, self.INPUT, context)
        distance = self.parameterAsDouble(parameters, self.DISTANCE, context)
        (sink, dest_id) = self.parameterAsSink(parameters, self.OUTPUT, context,
                                               source.fields(), source.wkbType(), source.sourceCrs())

        for f in source.getFeatures():
            f.setGeometry(f.geometry().buffer(distance, 5))
            sink.addFeature(f, QgsFeatureSink.FastInsert)

        return {self.OUTPUT: dest_id}

    def name(self):
        return 'buffer'

    def displayName(self):
        return 'Buffer Features'

    def group(self):
        return 'Examples'

    def groupId(self):
        return 'examples'

    def createInstance(self):
        return BufferAlgorithm()