Nyall Dawson b1cadb1822 Use generic algorithm icon for qgis algorithms which do not
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.
2017-06-24 12:01:20 +10:00

185 lines
6.9 KiB
Python

# -*- coding: utf-8 -*-
"""
***************************************************************************
FieldsMapper.py
---------------------
Date : October 2014
Copyright : (C) 2014 by Arnaud Morvan
Email : arnaud dot morvan at camptocamp 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. *
* *
***************************************************************************
"""
from __future__ import print_function
from builtins import str
from builtins import range
__author__ = 'Arnaud Morvan'
__date__ = 'October 2014'
__copyright__ = '(C) 2014, Arnaud Morvan'
# This will get replaced with a git SHA1 when you do a git archive
__revision__ = '$Format:%H$'
from qgis.core import (QgsField,
QgsFields,
QgsExpression,
QgsDistanceArea,
QgsFeatureSink,
QgsProject,
QgsFeature,
QgsApplication,
QgsProcessingUtils)
from processing.algs.qgis.QgisAlgorithm import QgisAlgorithm
from processing.core.GeoAlgorithmExecutionException import GeoAlgorithmExecutionException
from processing.core.parameters import ParameterTable
from processing.core.parameters import Parameter
from processing.core.outputs import OutputVector
class FieldsMapper(QgisAlgorithm):
INPUT_LAYER = 'INPUT_LAYER'
FIELDS_MAPPING = 'FIELDS_MAPPING'
OUTPUT_LAYER = 'OUTPUT_LAYER'
def __init__(self):
GeoAlgorithm.__init__(self)
self.mapping = None
def group(self):
return self.tr('Vector table tools')
def __init__(self):
super().__init__()
self.addParameter(ParameterTable(self.INPUT_LAYER,
self.tr('Input layer'),
False))
class ParameterFieldsMapping(Parameter):
default_metadata = {
'widget_wrapper': 'processing.algs.qgis.ui.FieldsMappingPanel.FieldsMappingWidgetWrapper'
}
def __init__(self, name='', description='', parent=None):
Parameter.__init__(self, name, description)
self.parent = parent
self.value = []
def getValueAsCommandLineParameter(self):
return '"' + str(self.value) + '"'
def setValue(self, value):
if value is None:
return False
if isinstance(value, list):
self.value = value
return True
if isinstance(value, str):
try:
self.value = eval(value)
return True
except Exception as e:
# fix_print_with_import
print(str(e)) # display error in console
return False
return False
self.addParameter(ParameterFieldsMapping(self.FIELDS_MAPPING,
self.tr('Fields mapping'),
self.INPUT_LAYER))
self.addOutput(OutputVector(self.OUTPUT_LAYER,
self.tr('Refactored'),
base_input=self.INPUT_LAYER))
def name(self):
return 'refactorfields'
def displayName(self):
return self.tr('Refactor fields')
def processAlgorithm(self, parameters, context, feedback):
layer = self.getParameterValue(self.INPUT_LAYER)
mapping = self.getParameterValue(self.FIELDS_MAPPING)
output = self.getOutputFromName(self.OUTPUT_LAYER)
layer = QgsProcessingUtils.mapLayerFromString(layer, context)
fields = QgsFields()
expressions = []
da = QgsDistanceArea()
da.setSourceCrs(layer.crs())
da.setEllipsoid(QgsProject.instance().ellipsoid())
exp_context = layer.createExpressionContext()
for field_def in mapping:
fields.append(QgsField(field_def['name'],
field_def['type'],
field_def['length'],
field_def['precision']))
expression = QgsExpression(field_def['expression'])
expression.setGeomCalculator(da)
expression.setDistanceUnits(QgsProject.instance().distanceUnits())
expression.setAreaUnits(QgsProject.instance().areaUnits())
expression.prepare(exp_context)
if expression.hasParserError():
raise GeoAlgorithmExecutionException(
self.tr(u'Parser error in expression "{}": {}')
.format(str(expression.expression()),
str(expression.parserErrorString())))
expressions.append(expression)
writer = output.getVectorWriter(fields, layer.wkbType(), layer.crs(), context)
# Create output vector layer with new attributes
error_exp = None
inFeat = QgsFeature()
outFeat = QgsFeature()
features = QgsProcessingUtils.getFeatures(layer, context)
count = QgsProcessingUtils.featureCount(layer, context)
if count > 0:
total = 100.0 / count
for current, inFeat in enumerate(features):
rownum = current + 1
geometry = inFeat.geometry()
outFeat.setGeometry(geometry)
attrs = []
for i in range(0, len(mapping)):
field_def = mapping[i]
expression = expressions[i]
exp_context.setFeature(inFeat)
exp_context.lastScope().setVariable("row_number", rownum)
value = expression.evaluate(exp_context)
if expression.hasEvalError():
error_exp = expression
break
attrs.append(value)
outFeat.setAttributes(attrs)
writer.addFeature(outFeat, QgsFeatureSink.FastInsert)
feedback.setProgress(int(current * total))
else:
feedback.setProgress(100)
del writer
if error_exp is not None:
raise GeoAlgorithmExecutionException(
self.tr(u'Evaluation error in expression "{}": {}')
.format(str(error_exp.expression()),
str(error_exp.parserErrorString())))