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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.
185 lines
6.9 KiB
Python
185 lines
6.9 KiB
Python
# -*- coding: utf-8 -*-
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"""
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***************************************************************************
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FieldsMapper.py
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---------------------
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Date : October 2014
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Copyright : (C) 2014 by Arnaud Morvan
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Email : arnaud dot morvan at camptocamp 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 __future__ import print_function
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from builtins import str
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from builtins import range
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__author__ = 'Arnaud Morvan'
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__date__ = 'October 2014'
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__copyright__ = '(C) 2014, Arnaud Morvan'
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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 (QgsField,
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QgsFields,
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QgsExpression,
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QgsDistanceArea,
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QgsFeatureSink,
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QgsProject,
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QgsFeature,
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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 ParameterTable
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from processing.core.parameters import Parameter
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from processing.core.outputs import OutputVector
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class FieldsMapper(QgisAlgorithm):
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INPUT_LAYER = 'INPUT_LAYER'
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FIELDS_MAPPING = 'FIELDS_MAPPING'
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OUTPUT_LAYER = 'OUTPUT_LAYER'
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def __init__(self):
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GeoAlgorithm.__init__(self)
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self.mapping = None
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def group(self):
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return self.tr('Vector table tools')
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def __init__(self):
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super().__init__()
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self.addParameter(ParameterTable(self.INPUT_LAYER,
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self.tr('Input layer'),
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False))
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class ParameterFieldsMapping(Parameter):
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default_metadata = {
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'widget_wrapper': 'processing.algs.qgis.ui.FieldsMappingPanel.FieldsMappingWidgetWrapper'
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}
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def __init__(self, name='', description='', parent=None):
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Parameter.__init__(self, name, description)
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self.parent = parent
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self.value = []
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def getValueAsCommandLineParameter(self):
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return '"' + str(self.value) + '"'
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def setValue(self, value):
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if value is None:
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return False
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if isinstance(value, list):
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self.value = value
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return True
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if isinstance(value, str):
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try:
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self.value = eval(value)
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return True
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except Exception as e:
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# fix_print_with_import
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print(str(e)) # display error in console
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return False
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return False
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self.addParameter(ParameterFieldsMapping(self.FIELDS_MAPPING,
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self.tr('Fields mapping'),
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self.INPUT_LAYER))
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self.addOutput(OutputVector(self.OUTPUT_LAYER,
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self.tr('Refactored'),
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base_input=self.INPUT_LAYER))
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def name(self):
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return 'refactorfields'
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def displayName(self):
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return self.tr('Refactor fields')
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def processAlgorithm(self, parameters, context, feedback):
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layer = self.getParameterValue(self.INPUT_LAYER)
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mapping = self.getParameterValue(self.FIELDS_MAPPING)
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output = self.getOutputFromName(self.OUTPUT_LAYER)
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layer = QgsProcessingUtils.mapLayerFromString(layer, context)
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fields = QgsFields()
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expressions = []
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da = QgsDistanceArea()
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da.setSourceCrs(layer.crs())
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da.setEllipsoid(QgsProject.instance().ellipsoid())
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exp_context = layer.createExpressionContext()
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for field_def in mapping:
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fields.append(QgsField(field_def['name'],
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field_def['type'],
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field_def['length'],
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field_def['precision']))
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expression = QgsExpression(field_def['expression'])
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expression.setGeomCalculator(da)
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expression.setDistanceUnits(QgsProject.instance().distanceUnits())
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expression.setAreaUnits(QgsProject.instance().areaUnits())
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expression.prepare(exp_context)
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if expression.hasParserError():
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raise GeoAlgorithmExecutionException(
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self.tr(u'Parser error in expression "{}": {}')
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.format(str(expression.expression()),
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str(expression.parserErrorString())))
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expressions.append(expression)
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writer = output.getVectorWriter(fields, layer.wkbType(), layer.crs(), context)
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# Create output vector layer with new attributes
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error_exp = None
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inFeat = QgsFeature()
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outFeat = QgsFeature()
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features = QgsProcessingUtils.getFeatures(layer, context)
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count = QgsProcessingUtils.featureCount(layer, context)
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if count > 0:
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total = 100.0 / count
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for current, inFeat in enumerate(features):
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rownum = current + 1
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geometry = inFeat.geometry()
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outFeat.setGeometry(geometry)
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attrs = []
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for i in range(0, len(mapping)):
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field_def = mapping[i]
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expression = expressions[i]
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exp_context.setFeature(inFeat)
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exp_context.lastScope().setVariable("row_number", rownum)
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value = expression.evaluate(exp_context)
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if expression.hasEvalError():
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error_exp = expression
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break
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attrs.append(value)
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outFeat.setAttributes(attrs)
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writer.addFeature(outFeat, QgsFeatureSink.FastInsert)
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feedback.setProgress(int(current * total))
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else:
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feedback.setProgress(100)
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del writer
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if error_exp is not None:
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raise GeoAlgorithmExecutionException(
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self.tr(u'Evaluation error in expression "{}": {}')
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.format(str(error_exp.expression()),
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str(error_exp.parserErrorString())))
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