QGIS/python/plugins/processing/gui/AlgorithmExecutor.py

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# -*- coding: utf-8 -*-
"""
***************************************************************************
AlgorithmExecutor.py
---------------------
Date : August 2012
Copyright : (C) 2012 by Victor Olaya
Email : volayaf at gmail dot com
***************************************************************************
* *
* This program is free software; you can redistribute it and/or modify *
* it under the terms of the GNU General Public License as published by *
* the Free Software Foundation; either version 2 of the License, or *
* (at your option) any later version. *
* *
***************************************************************************
"""
__author__ = 'Victor Olaya'
__date__ = 'August 2012'
__copyright__ = '(C) 2012, Victor Olaya'
# This will get replaced with a git SHA1 when you do a git archive
__revision__ = '$Format:%H$'
import sys
from qgis.PyQt.QtCore import QCoreApplication
from qgis.core import (Qgis,
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QgsFeatureSink,
QgsProcessingFeedback,
QgsProcessingUtils,
QgsMessageLog,
QgsProcessingException,
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QgsProcessingParameters)
from processing.gui.Postprocessing import handleAlgorithmResults
from processing.tools import dataobjects
def execute(alg, parameters, context=None, feedback=None):
"""Executes a given algorithm, showing its progress in the
progress object passed along.
Return true if everything went OK, false if the algorithm
could not be completed.
"""
if feedback is None:
feedback = QgsProcessingFeedback()
if context is None:
context = dataobjects.createContext(feedback)
try:
results, ok = alg.run(parameters, context, feedback)
return ok, results
except QgsProcessingException as e:
QgsMessageLog.logMessage(str(sys.exc_info()[0]), 'Processing', Qgis.Critical)
if feedback is not None:
feedback.reportError(e.msg)
return False, {}
def executeIterating(alg, parameters, paramToIter, context, feedback):
# Generate all single-feature layers
parameter_definition = alg.parameterDefinition(paramToIter)
if not parameter_definition:
return False
iter_source = QgsProcessingParameters.parameterAsSource(parameter_definition, parameters, context)
sink_list = []
if iter_source.featureCount() == 0:
return False
total = 100.0 / iter_source.featureCount()
for current, feat in enumerate(iter_source.getFeatures()):
if feedback.isCanceled():
return False
sink, sink_id = QgsProcessingUtils.createFeatureSink('memory:', context, iter_source.fields(), iter_source.wkbType(), iter_source.sourceCrs())
sink_list.append(sink_id)
sink.addFeature(feat, QgsFeatureSink.FastInsert)
del sink
feedback.setProgress(int(current * total))
# store output values to use them later as basenames for all outputs
outputs = {}
for out in alg.destinationParameterDefinitions():
outputs[out.name()] = parameters[out.name()]
# now run all the algorithms
for i, f in enumerate(sink_list):
if feedback.isCanceled():
return False
parameters[paramToIter] = f
for out in alg.destinationParameterDefinitions():
o = outputs[out.name()]
parameters[out.name()] = QgsProcessingUtils.generateIteratingDestination(o, i, context)
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feedback.setProgressText(QCoreApplication.translate('AlgorithmExecutor', 'Executing iteration {0}/{1}').format(i, len(sink_list)))
feedback.setProgress(i * 100 / len(sink_list))
ret, results = execute(alg, parameters, context, feedback)
if not ret:
return False
handleAlgorithmResults(alg, context, feedback, False)
return True
def tr(string, context=''):
if context == '':
context = 'AlgorithmExecutor'
return QCoreApplication.translate(context, string)