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ajout_champ.py
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ajout_champ.py
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# -*- coding: utf-8 -*-
"""
/***************************************************************************
Networks
A QGIS plugin
Networks
Generated by Plugin Builder: http://g-sherman.github.io/Qgis-Plugin-Builder/
-------------------
begin : 2018-02-26
copyright : (C) 2018 by Patrick Palmier
email : [email protected]
***************************************************************************/
/***************************************************************************
* *
* 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__ = 'Patrick Palmier'
__date__ = '2018-02-26'
__copyright__ = '(C) 2018 by Patrick Palmier'
# This will get replaced with a git SHA1 when you do a git archive
__revision__ = '$Format:%H$'
from PyQt5.QtCore import QCoreApplication,QVariant
from qgis.core import *
from qgis.utils import *
from qgis.core import (QgsProcessing,
QgsFeatureSink,
QgsProcessingAlgorithm,
QgsProcessingParameterFeatureSource,
QgsProcessingParameterFeatureSink,
QgsProcessingParameterNumber,
QgsProcessingParameterEnum,
QgsProcessingParameterBoolean,
QgsProcessingParameterString,
QgsProcessingParameterExtent,
QgsProcessingParameterField,
QgsProcessingParameterExpression,
QgsProcessingParameterFileDestination,
QgsProcessingParameterVectorLayer,
QgsVectorDataProvider,
QgsVectorLayer,
QgsFields)
import codecs
import gc
class AjoutChamp(QgsProcessingAlgorithm):
"""
This is an example algorithm that takes a vector layer and
creates a new identical one.
It is meant to be used as an example of how to create your own
algorithms and explain methods and variables used to do it. An
algorithm like this will be available in all elements, and there
is not need for additional work.
All Processing algorithms should extend the QgsProcessingAlgorithm
class.
"""
# Constants used to refer to parameters and outputs. They will be
# used when calling the algorithm from another algorithm, or when
# calling from the QGIS console.
types_data=['String','Double','DateTime']
INPUT = 'INPUT'
NOUVEAU='NOUVEAU'
EXISTANT='EXISTANT'
TYPE='TYPE'
TAILLE='TAILLE'
PRECISION='PRECISION'
FILTRE='FILTRE'
FORMULE='FORMULE'
def initAlgorithm(self, config):
"""
Here we define the inputs and output of the algorithm, along
with some other properties.
"""
self.addParameter(
QgsProcessingParameterVectorLayer(
self.INPUT,
self.tr('Layer'),
)
)
self.addParameter(
QgsProcessingParameterExpression(
self.EXISTANT,
self.tr('Field'),
parentLayerParameterName=self.INPUT,
optional=False
)
)
self.addParameter(
QgsProcessingParameterEnum(
self.TYPE,
self.tr('Type'),
options=self.types_data,
defaultValue=0
)
)
self.addParameter(
QgsProcessingParameterNumber(
self.TAILLE,
self.tr('Size'),
QgsProcessingParameterNumber.Integer,
defaultValue=20,
minValue=0,
maxValue=255
)
)
self.addParameter(
QgsProcessingParameterNumber(
self.PRECISION,
self.tr('Precision'),
QgsProcessingParameterNumber.Integer,
defaultValue=15,
minValue=0,
maxValue=15
)
)
self.addParameter(
QgsProcessingParameterExpression(
self.FILTRE,
self.tr('Filter'),
None,
self.INPUT,
optional=True
)
)
# We add a feature sink in which to store our processed features (this
# usually takes the form of a newly created vector layer when the
# algorithm is run in QGIS).
self.addParameter(
QgsProcessingParameterExpression(
self.FORMULE,
self.tr('Formula'),
None,
self.INPUT
)
)
def processAlgorithm(self, parameters, context, feedback):
"""
Here is where the processing itself takes place.
"""
# Retrieve the feature source and sink. The 'dest_id' variable is used
# to uniquely identify the feature sink, and must be included in the
# dictionary returned by the processAlgorithm function.
#couche = self.parameterAsSource(parameters, self.INPUT, context)
couche = self.parameterAsVectorLayer(parameters, self.INPUT, context)
champ_existant=self.parameterAsExpression(parameters,self.EXISTANT,context)
typo=self.types_data[self.parameterAsEnum(parameters,self.TYPE,context)]
taille=self.parameterAsInt(parameters,self.TAILLE,context)
precision=self.parameterAsInt(parameters,self.PRECISION,context)
filtre=QgsExpression(self.parameterAsExpression(parameters,self.FILTRE,context))
formule=QgsExpression(self.parameterAsExpression(parameters,self.FORMULE,context))
# Compute the number of steps to display within the progress bar and
# get features from source
##a=fenetre.split(",")
##fenetre2=QgsRectangle(float(a[0]),float(a[2]),float(a[1]),float(a[3]))
tableau=couche
champ_existant=champ_existant.strip('"').strip("'")
#print(couche)
champs=tableau.fields()
chaine="QVariant."+str(typo)
noms_champs=[c.name() for c in champs]
#feedback.setProgressText(champ_existant+' '+ ":".join(noms_champs))
if len(champ_existant)>0:
if champ_existant not in noms_champs:
#tableau.startEditing()
if tableau.dataProvider().capabilities() & QgsVectorDataProvider.ChangeAttributeValues:
tableau.dataProvider().addAttributes([QgsField(champ_existant,eval('QVariant.'+unicode(typo)),len=taille,prec=precision)])
tableau.updateFields()
else:
feedback.setProgressText(self.tr("Warning: The layer is not editable"))
#tableau.commitChanges()
lib_champ=champ_existant
else:
lib_champ=champ_existant
if len(filtre.dump())==0:
request=QgsFeatureRequest()
else:
expr= filtre
request = QgsFeatureRequest(expr)
tableau2=couche
formuleContexte=self.createExpressionContext(parameters,context)
formuleContexte.appendScopes(QgsExpressionContextUtils.globalProjectLayerScopes(tableau))
formule.prepare(formuleContexte)
id_champ=tableau2.fields().lookupField(lib_champ)
feedback.setProgressText(lib_champ)
features=list(tableau2.getFeatures(request))
nb=len(features)
#feedback.setProgressText(str(nb))
n=tableau2.featureCount()
feedback.setProgressText(self.tr("updating field..."))
tableau.startEditing()
tableau.beginEditCommand(self.tr("updating field"))
if tableau.dataProvider().capabilities() & QgsVectorDataProvider.ChangeAttributeValues:
for p,f in enumerate(features):
num=f.id()
formuleContexte.setFeature(f)
valeur=formule.evaluate(formuleContexte)
valid={id_champ: valeur}
tableau.changeAttributeValues(num,valid)
#a2=tableau2.dataProvider().changeAttributeValues({num:valid})
feedback.setProgress(p*100/n)
else:
feedback.setProgressText(self.tr("Warning: The layer is not editable"))
tableau.endEditCommand()
tableau.commitChanges()
gc.collect()
return {self.INPUT:self.INPUT}
def name(self):
"""
Returns the algorithm name, used for identifying the algorithm. This
string should be fixed for the algorithm, and must not be localised.
The name should be unique within each provider. Names should contain
lowercase alphanumeric characters only and no spaces or other
formatting characters.
"""
return 'update_field'
def displayName(self):
"""
Returns the translated algorithm name, which should be used for any
user-visible display of the algorithm name.
"""
return self.tr('Update field')
def group(self):
"""
Returns the name of the group this algorithm belongs to. This string
should be localised.
"""
return self.tr('Network')
def groupId(self):
"""
Returns the unique ID of the group this algorithm belongs to. This
string should be fixed for the algorithm, and must not be localised.
The group id should be unique within each provider. Group id should
contain lowercase alphanumeric characters only and no spaces or other
formatting characters.
"""
return 'Network'
def tr(self, string, context=''):
if context == '':
context = self.__class__.__name__
return QCoreApplication.translate(context, string)
def trAlgorithm(self, string, context=''):
if context == '':
context = self.__class__.__name__
return string, QCoreApplication.translate(context, string)
def shortHelpString(self):
return self.tr("""
Add or update a field in a Qgis layer from an expression formula on a set of rows
Parameters:
layer : a vector layer
field : name of the field to update or name of the new field
type : field data type (if new field)
size : field size (if new field)
precision : field precision (if new field and real type)
filter: expression determining which rows will be updated
formula : expression that will be written in the field( for filtered rows only)
""")
def createInstance(self):
return AjoutChamp()