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b1cadb1822
have specific icons, instead of generic qgis icon We consider these 'top level' algorithms, and using the standard algorithm icon should help reflect this and differentiate them from 3rd party algorithms.
116 lines
4.5 KiB
Python
116 lines
4.5 KiB
Python
# -*- coding: utf-8 -*-
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"""
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***************************************************************************
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Gridify.py
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---------------------
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Date : May 2010
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Copyright : (C) 2010 by Michael Minn
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Email : pyqgis at michaelminn 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__ = 'Michael Minn'
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__date__ = 'May 2010'
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__copyright__ = '(C) 2010, Michael Minn'
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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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from qgis.core import (QgsFeature,
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QgsFeatureSink,
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QgsGeometry,
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QgsPointXY,
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QgsWkbTypes,
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QgsApplication,
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QgsProcessingUtils)
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from processing.algs.qgis.QgisAlgorithm import QgisAlgorithm
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from processing.core.GeoAlgorithmExecutionException import GeoAlgorithmExecutionException
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from processing.core.parameters import ParameterVector
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from processing.core.parameters import ParameterTableField
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from processing.core.outputs import OutputVector
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from processing.tools import dataobjects
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class HubLines(QgisAlgorithm):
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HUBS = 'HUBS'
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HUB_FIELD = 'HUB_FIELD'
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SPOKES = 'SPOKES'
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SPOKE_FIELD = 'SPOKE_FIELD'
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OUTPUT = 'OUTPUT'
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def group(self):
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return self.tr('Vector analysis tools')
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def __init__(self):
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super().__init__()
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self.addParameter(ParameterVector(self.HUBS,
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self.tr('Hub layer')))
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self.addParameter(ParameterTableField(self.HUB_FIELD,
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self.tr('Hub ID field'), self.HUBS))
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self.addParameter(ParameterVector(self.SPOKES,
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self.tr('Spoke layer')))
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self.addParameter(ParameterTableField(self.SPOKE_FIELD,
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self.tr('Spoke ID field'), self.SPOKES))
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self.addOutput(OutputVector(self.OUTPUT, self.tr('Hub lines'), datatype=[dataobjects.TYPE_VECTOR_LINE]))
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def name(self):
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return 'hublines'
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def displayName(self):
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return self.tr('Hub lines')
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def processAlgorithm(self, parameters, context, feedback):
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layerHub = QgsProcessingUtils.mapLayerFromString(self.getParameterValue(self.HUBS), context)
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layerSpoke = QgsProcessingUtils.mapLayerFromString(self.getParameterValue(self.SPOKES), context)
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fieldHub = self.getParameterValue(self.HUB_FIELD)
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fieldSpoke = self.getParameterValue(self.SPOKE_FIELD)
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if layerHub.source() == layerSpoke.source():
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raise GeoAlgorithmExecutionException(
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self.tr('Same layer given for both hubs and spokes'))
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writer = self.getOutputFromName(self.OUTPUT).getVectorWriter(layerSpoke.fields(), QgsWkbTypes.LineString,
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layerSpoke.crs(), context)
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spokes = QgsProcessingUtils.getFeatures(layerSpoke, context)
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hubs = QgsProcessingUtils.getFeatures(layerHub, context)
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total = 100.0 / layerSpoke.featureCount() if layerSpoke.featureCount() else 0
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for current, spokepoint in enumerate(spokes):
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p = spokepoint.geometry().boundingBox().center()
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spokeX = p.x()
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spokeY = p.y()
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spokeId = str(spokepoint[fieldSpoke])
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for hubpoint in hubs:
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hubId = str(hubpoint[fieldHub])
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if hubId == spokeId:
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p = hubpoint.geometry().boundingBox().center()
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hubX = p.x()
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hubY = p.y()
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f = QgsFeature()
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f.setAttributes(spokepoint.attributes())
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f.setGeometry(QgsGeometry.fromPolyline(
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[QgsPointXY(spokeX, spokeY), QgsPointXY(hubX, hubY)]))
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writer.addFeature(f, QgsFeatureSink.FastInsert)
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break
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feedback.setProgress(int(current * total))
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del writer
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