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	Previously there was no way to terminate the GDAL process, so if you accidently got some parameter values wrong it was very easy to end up with a quasi-endless, non-cancelable gdal algorithm burning away cpu in the background of a qgis session... ouch!
		
			
				
	
	
		
			162 lines
		
	
	
		
			7.5 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			162 lines
		
	
	
		
			7.5 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
# -*- coding: utf-8 -*-
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"""
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***************************************************************************
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    GdalAlgorithm.py
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    ---------------------
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    Date                 : August 2012
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    Copyright            : (C) 2012 by Victor Olaya
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    Email                : volayaf at gmail dot com
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***************************************************************************
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*                                                                         *
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*   This program is free software; you can redistribute it and/or modify  *
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*   it under the terms of the GNU General Public License as published by  *
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*   the Free Software Foundation; either version 2 of the License, or     *
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*   (at your option) any later version.                                   *
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*                                                                         *
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***************************************************************************
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"""
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__author__ = 'Victor Olaya'
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__date__ = 'August 2012'
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__copyright__ = '(C) 2012, Victor Olaya'
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import os
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import re
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from qgis.PyQt.QtCore import QUrl, QCoreApplication
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from qgis.core import (QgsApplication,
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                       QgsVectorFileWriter,
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                       QgsProcessingFeatureSourceDefinition,
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                       QgsProcessingAlgorithm,
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                       QgsProcessingContext,
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                       QgsProcessingFeedback,
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                       QgsProviderRegistry,
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                       QgsDataSourceUri)
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from processing.algs.gdal.GdalAlgorithmDialog import GdalAlgorithmDialog
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from processing.algs.gdal.GdalUtils import GdalUtils
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pluginPath = os.path.normpath(os.path.join(
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    os.path.split(os.path.dirname(__file__))[0], os.pardir))
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class GdalAlgorithm(QgsProcessingAlgorithm):
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    def __init__(self):
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        super().__init__()
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        self.output_values = {}
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    def icon(self):
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        return QgsApplication.getThemeIcon("/providerGdal.svg")
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    def tags(self):
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        return ['ogr', 'gdal', self.commandName()]
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    def svgIconPath(self):
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        return QgsApplication.iconPath("providerGdal.svg")
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    def createInstance(self, config={}):
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        return self.__class__()
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    def createCustomParametersWidget(self, parent):
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        return GdalAlgorithmDialog(self, parent=parent)
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    def getConsoleCommands(self, parameters, context, feedback, executing=True):
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        return None
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    def getOgrCompatibleSource(self, parameter_name, parameters, context, feedback, executing):
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        """
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        Interprets a parameter as an OGR compatible source and layer name
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        :param executing:
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        """
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        if not executing and parameter_name in parameters and isinstance(parameters[parameter_name], QgsProcessingFeatureSourceDefinition):
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            # if not executing, then we throw away all 'selected features only' settings
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            # since these have no meaning for command line gdal use, and we don't want to force
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            # an export of selected features only to a temporary file just to show the command!
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            parameters = {parameter_name: parameters[parameter_name].source}
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        input_layer = self.parameterAsVectorLayer(parameters, parameter_name, context)
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        ogr_data_path = None
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        ogr_layer_name = None
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        if input_layer is None or input_layer.dataProvider().name() == 'memory':
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            if executing:
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                # parameter is not a vector layer - try to convert to a source compatible with OGR
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                # and extract selection if required
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                ogr_data_path = self.parameterAsCompatibleSourceLayerPath(parameters, parameter_name, context,
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                                                                          QgsVectorFileWriter.supportedFormatExtensions(),
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                                                                          QgsVectorFileWriter.supportedFormatExtensions()[0],
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                                                                          feedback=feedback)
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                ogr_layer_name = GdalUtils.ogrLayerName(ogr_data_path)
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            else:
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                # not executing - don't waste time converting incompatible sources, just return dummy strings
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                # for the command preview (since the source isn't compatible with OGR, it has no meaning anyway and can't
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                # be run directly in the command line)
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                ogr_data_path = 'path_to_data_file'
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                ogr_layer_name = 'layer_name'
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        elif input_layer.dataProvider().name() == 'ogr':
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            if executing and (isinstance(parameters[parameter_name], QgsProcessingFeatureSourceDefinition) and parameters[parameter_name].selectedFeaturesOnly) \
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                    or input_layer.subsetString():
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                # parameter is a vector layer, with OGR data provider
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                # so extract selection if required
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                ogr_data_path = self.parameterAsCompatibleSourceLayerPath(parameters, parameter_name, context,
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                                                                          QgsVectorFileWriter.supportedFormatExtensions(),
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                                                                          feedback=feedback)
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                parts = QgsProviderRegistry.instance().decodeUri('ogr', ogr_data_path)
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                ogr_data_path = parts['path']
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                if 'layerName' in parts and parts['layerName']:
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                    ogr_layer_name = parts['layerName']
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                else:
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                    ogr_layer_name = GdalUtils.ogrLayerName(ogr_data_path)
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            else:
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                # either not using the selection, or
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                # not executing - don't worry about 'selected features only' handling. It has no meaning
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                # for the command line preview since it has no meaning outside of a QGIS session!
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                ogr_data_path = GdalUtils.ogrConnectionStringAndFormatFromLayer(input_layer)[0]
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                ogr_layer_name = GdalUtils.ogrLayerName(input_layer.dataProvider().dataSourceUri())
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        elif input_layer.dataProvider().name().lower() == 'wfs':
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            uri = QgsDataSourceUri(input_layer.source())
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            baseUrl = uri.param('url').split('?')[0]
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            ogr_data_path = "WFS:{}".format(baseUrl)
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            ogr_layer_name = uri.param('typename')
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        else:
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            # vector layer, but not OGR - get OGR compatible path
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            # TODO - handle "selected features only" mode!!
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            ogr_data_path = GdalUtils.ogrConnectionStringFromLayer(input_layer)
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            ogr_layer_name = GdalUtils.ogrLayerName(input_layer.dataProvider().dataSourceUri())
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        return ogr_data_path, ogr_layer_name
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    def setOutputValue(self, name, value):
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        self.output_values[name] = value
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    def processAlgorithm(self, parameters, context, feedback):
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        commands = self.getConsoleCommands(parameters, context, feedback, executing=True)
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        GdalUtils.runGdal(commands, feedback)
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        # auto generate outputs
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        results = {}
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        for o in self.outputDefinitions():
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            if o.name() in parameters:
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                results[o.name()] = parameters[o.name()]
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        for k, v in self.output_values.items():
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            results[k] = v
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        return results
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    def commandName(self):
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        parameters = {}
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        for param in self.parameterDefinitions():
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            parameters[param.name()] = "1"
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        context = QgsProcessingContext()
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        feedback = QgsProcessingFeedback()
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        name = self.getConsoleCommands(parameters, context, feedback, executing=False)[0]
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        if name.endswith(".py"):
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            name = name[:-3]
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        return name
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    def tr(self, string, context=''):
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        if context == '':
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            context = self.__class__.__name__
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        return QCoreApplication.translate(context, string)
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