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125 lines
4.5 KiB
Python
125 lines
4.5 KiB
Python
# -*- coding: utf-8 -*-
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"""
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***************************************************************************
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AlgorithmExecutor.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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from builtins import str
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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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# This will get replaced with a git SHA1 when you do a git archive
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__revision__ = '$Format:%H$'
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import sys
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from copy import deepcopy
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from qgis.PyQt.QtCore import QCoreApplication
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from qgis.core import (QgsFeature,
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QgsVectorFileWriter,
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QgsProcessingFeedback,
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QgsSettings,
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QgsProcessingUtils,
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QgsMessageLog,
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QgsProperty,
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QgsProcessingException,
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QgsProcessingParameters,
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QgsProcessingOutputLayerDefinition)
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from processing.gui.Postprocessing import handleAlgorithmResults
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from processing.tools import dataobjects
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from processing.tools.system import getTempFilename
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def execute(alg, parameters, context=None, feedback=None):
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"""Executes a given algorithm, showing its progress in the
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progress object passed along.
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Return true if everything went OK, false if the algorithm
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could not be completed.
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"""
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if feedback is None:
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feedback = QgsProcessingFeedback()
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if context is None:
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context = dataobjects.createContext(feedback)
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try:
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results, ok = alg.run(parameters, context, feedback)
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return ok, results
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except QgsProcessingException as e:
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QgsMessageLog.logMessage(str(sys.exc_info()[0]), 'Processing', QgsMessageLog.CRITICAL)
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if feedback is not None:
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feedback.reportError(e.msg)
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return False, {}
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def executeIterating(alg, parameters, paramToIter, context, feedback):
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# Generate all single-feature layers
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settings = QgsSettings()
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systemEncoding = settings.value('/UI/encoding', 'System')
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parameter_definition = alg.parameterDefinition(paramToIter)
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if not parameter_definition:
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return False
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iter_source = QgsProcessingParameters.parameterAsSource(parameter_definition, parameters, context)
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sink_list = []
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if iter_source.featureCount() == 0:
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return False
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total = 100.0 / iter_source.featureCount()
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for current, feat in enumerate(iter_source.getFeatures()):
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if feedback.isCanceled():
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return False
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sink, sink_id = QgsProcessingUtils.createFeatureSink('memory:', context, iter_source.fields(), iter_source.wkbType(), iter_source.sourceCrs())
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sink_list.append(sink_id)
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sink.addFeature(feat, QgsFeatureSink.FastInsert)
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del sink
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feedback.setProgress(int(current * total))
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# store output values to use them later as basenames for all outputs
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outputs = {}
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for out in alg.destinationParameterDefinitions():
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outputs[out.name()] = parameters[out.name()]
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# now run all the algorithms
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for i, f in enumerate(sink_list):
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if feedback.isCanceled():
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return False
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parameters[paramToIter] = f
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for out in alg.destinationParameterDefinitions():
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o = outputs[out.name()]
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parameters[out.name()] = QgsProcessingUtils.generateIteratingDestination(o, i, context)
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feedback.setProgressText(tr('Executing iteration {0}/{1}...').format(i, len(sink_list)))
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feedback.setProgress(i * 100 / len(sink_list))
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ret, results = execute(alg, parameters, context, feedback)
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if not ret:
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return False
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handleAlgorithmResults(alg, context, feedback, False)
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return True
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def tr(string, context=''):
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if context == '':
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context = 'AlgorithmExecutor'
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return QCoreApplication.translate(context, string)
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