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17. Writing a Processing plugin
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.
In your
metadata.txtfile, you need to add a variable:hasProcessingProvider=yes
In the Python file where your plugin is setup with the
initGuimethod, you need to adapt some lines like this:1from qgis.core import QgsApplication 2from .processing_provider.provider import Provider 3 4class YourPluginName: 5 6 def __init__(self): 7 self.provider = None 8 9 def initProcessing(self): 10 self.provider = Provider() 11 QgsApplication.processingRegistry().addProvider(self.provider) 12 13 def initGui(self): 14 self.initProcessing() 15 16 def unload(self): 17 QgsApplication.processingRegistry().removeProvider(self.provider)
You can create a folder
processing_providerwith three files in it:__init__.pywith nothing in it. This is necessary to make a valid Python package.provider.pywhich will create the Processing provider and expose your algorithms.1from qgis.core import QgsProcessingProvider 2from qgis.PyQt.QtGui import QIcon 3 4from .example_processing_algorithm import ExampleProcessingAlgorithm 5 6class Provider(QgsProcessingProvider): 7 8 """ The provider of our plugin. """ 9 10 def loadAlgorithms(self): 11 """ Load each algorithm into the current provider. """ 12 self.addAlgorithm(ExampleProcessingAlgorithm()) 13 # add additional algorithms here 14 # self.addAlgorithm(MyOtherAlgorithm()) 15 16 def id(self) -> str: 17 """The ID of your plugin, used for identifying the provider. 18 19 This string should be a unique, short, character only string, 20 eg "qgis" or "gdal". This string should not be localised. 21 """ 22 return 'yourplugin' 23 24 def name(self) -> str: 25 """The human friendly name of your plugin in Processing. 26 27 This string should be as short as possible (e.g. "Lastools", not 28 "Lastools version 1.0.1 64-bit") and localised. 29 """ 30 return self.tr('Your plugin') 31 32 def icon(self) -> QIcon: 33 """Should return a QIcon which is used for your provider inside 34 the Processing toolbox. 35 """ 36 return QgsProcessingProvider.icon(self)
example_processing_algorithm.pywhich 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:
1└── your_plugin_root_folder 2 ├── __init__.py 3 ├── LICENSE 4 ├── metadata.txt 5 └── processing_provider 6 ├── example_processing_algorithm.py 7 ├── __init__.py 8 └── provider.py
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:
1from qgis.core import (
2 QgsProcessingAlgorithm,
3 QgsProcessingParameterFeatureSource,
4 QgsProcessingParameterNumber,
5 QgsProcessingParameterFeatureSink,
6 QgsFeatureSink,
7)
8
9class BufferAlgorithm(QgsProcessingAlgorithm):
10
11 INPUT = 'INPUT'
12 DISTANCE = 'DISTANCE'
13 OUTPUT = 'OUTPUT'
14
15 def initAlgorithm(self, config=None):
16 self.addParameter(QgsProcessingParameterFeatureSource(self.INPUT, 'Input layer'))
17 self.addParameter(QgsProcessingParameterNumber(self.DISTANCE, 'Buffer distance', defaultValue=100.0))
18 self.addParameter(QgsProcessingParameterFeatureSink(self.OUTPUT, 'Output layer'))
19
20 def processAlgorithm(self, parameters, context, feedback):
21 source = self.parameterAsSource(parameters, self.INPUT, context)
22 distance = self.parameterAsDouble(parameters, self.DISTANCE, context)
23 (sink, dest_id) = self.parameterAsSink(parameters, self.OUTPUT, context,
24 source.fields(), source.wkbType(), source.sourceCrs())
25
26 for f in source.getFeatures():
27 f.setGeometry(f.geometry().buffer(distance, 5))
28 sink.addFeature(f, QgsFeatureSink.FastInsert)
29
30 return {self.OUTPUT: dest_id}
31
32 def name(self):
33 return 'buffer'
34
35 def displayName(self):
36 return 'Buffer Features'
37
38 def group(self):
39 return 'Examples'
40
41 def groupId(self):
42 return 'examples'
43
44 def createInstance(self):
45 return BufferAlgorithm()