Beispiel #1
0
    def processAlgorithm(self, progress):
        layer = dataobjects.getObjectFromUri(
            self.getParameterValue(self.INPUT_LAYER))

        geometry_type = self.getParameterValue(self.OUTPUT_GEOMETRY)
        wkb_type = None
        if geometry_type == 0:
            wkb_type = QgsWkbTypes.Polygon
        elif geometry_type == 1:
            wkb_type = QgsWkbTypes.LineString
        else:
            wkb_type = QgsWkbTypes.Point
        if self.getParameterValue(self.WITH_Z):
            wkb_type = QgsWkbTypes.addZ(wkb_type)
        if self.getParameterValue(self.WITH_M):
            wkb_type = QgsWkbTypes.addM(wkb_type)

        writer = self.getOutputFromName(
            self.OUTPUT_LAYER).getVectorWriter(
                layer.fields(),
                wkb_type,
                layer.crs())

        expression = QgsExpression(self.getParameterValue(self.EXPRESSION))
        if expression.hasParserError():
            raise GeoAlgorithmExecutionException(expression.parserErrorString())

        exp_context = QgsExpressionContext()
        exp_context.appendScope(QgsExpressionContextUtils.globalScope())
        exp_context.appendScope(QgsExpressionContextUtils.projectScope())
        exp_context.appendScope(QgsExpressionContextUtils.layerScope(layer))

        if not expression.prepare(exp_context):
            raise GeoAlgorithmExecutionException(
                self.tr('Evaluation error: %s' % expression.evalErrorString()))

        features = vector.features(layer)
        total = 100.0 / len(features)
        for current, input_feature in enumerate(features):
            output_feature = input_feature

            exp_context.setFeature(input_feature)
            value = expression.evaluate(exp_context)
            if expression.hasEvalError():
                raise GeoAlgorithmExecutionException(
                    self.tr('Evaluation error: %s' % expression.evalErrorString()))

            if not value:
                output_feature.setGeometry(QgsGeometry())
            else:
                if not isinstance(value, QgsGeometry):
                    raise GeoAlgorithmExecutionException(
                        self.tr('{} is not a geometry').format(value))
                output_feature.setGeometry(value)

            writer.addFeature(output_feature)
            progress.setPercentage(int(current * total))

        del writer
Beispiel #2
0
    def processAlgorithm(self, parameters, context, feedback):
        layer = QgsProcessingUtils.mapLayerFromString(self.getParameterValue(self.INPUT_LAYER), context)

        geometry_type = self.getParameterValue(self.OUTPUT_GEOMETRY)
        wkb_type = None
        if geometry_type == 0:
            wkb_type = QgsWkbTypes.Polygon
        elif geometry_type == 1:
            wkb_type = QgsWkbTypes.LineString
        else:
            wkb_type = QgsWkbTypes.Point
        if self.getParameterValue(self.WITH_Z):
            wkb_type = QgsWkbTypes.addZ(wkb_type)
        if self.getParameterValue(self.WITH_M):
            wkb_type = QgsWkbTypes.addM(wkb_type)

        writer = self.getOutputFromName(
            self.OUTPUT_LAYER).getVectorWriter(layer.fields(), wkb_type, layer.crs(), context)

        expression = QgsExpression(self.getParameterValue(self.EXPRESSION))
        if expression.hasParserError():
            raise GeoAlgorithmExecutionException(expression.parserErrorString())

        exp_context = QgsExpressionContext(QgsExpressionContextUtils.globalProjectLayerScopes(layer))

        if not expression.prepare(exp_context):
            raise GeoAlgorithmExecutionException(
                self.tr('Evaluation error: {0}').format(expression.evalErrorString()))

        features = QgsProcessingUtils.getFeatures(layer, context)
        total = 100.0 / QgsProcessingUtils.featureCount(layer, context)
        for current, input_feature in enumerate(features):
            output_feature = input_feature

            exp_context.setFeature(input_feature)
            value = expression.evaluate(exp_context)
            if expression.hasEvalError():
                raise GeoAlgorithmExecutionException(
                    self.tr('Evaluation error: {0}').format(expression.evalErrorString()))

            if not value:
                output_feature.setGeometry(QgsGeometry())
            else:
                if not isinstance(value, QgsGeometry):
                    raise GeoAlgorithmExecutionException(
                        self.tr('{} is not a geometry').format(value))
                output_feature.setGeometry(value)

            writer.addFeature(output_feature)
            feedback.setProgress(int(current * total))

        del writer
Beispiel #3
0
    def processAlgorithm(self, parameters, context, feedback):
        source = self.parameterAsSource(parameters, self.INPUT, context)
        layer = self.parameterAsVectorLayer(parameters, self.INPUT, context)
        field_name = self.parameterAsString(parameters, self.FIELD_NAME, context)
        field_type = self.TYPES[self.parameterAsEnum(parameters, self.FIELD_TYPE, context)]
        width = self.parameterAsInt(parameters, self.FIELD_LENGTH, context)
        precision = self.parameterAsInt(parameters, self.FIELD_PRECISION, context)
        new_field = self.parameterAsBool(parameters, self.NEW_FIELD, context)
        formula = self.parameterAsString(parameters, self.FORMULA, context)

        expression = QgsExpression(formula)
        da = QgsDistanceArea()
        da.setSourceCrs(source.sourceCrs())
        da.setEllipsoid(context.project().ellipsoid())
        expression.setGeomCalculator(da)

        expression.setDistanceUnits(context.project().distanceUnits())
        expression.setAreaUnits(context.project().areaUnits())

        fields = source.fields()
        field_index = fields.lookupField(field_name)
        if new_field or field_index < 0:
            fields.append(QgsField(field_name, field_type, '', width, precision))

        (sink, dest_id) = self.parameterAsSink(parameters, self.OUTPUT, context,
                                               fields, source.wkbType(), source.sourceCrs())

        exp_context = self.createExpressionContext(parameters, context)
        if layer is not None:
            exp_context.appendScope(QgsExpressionContextUtils.layerScope(layer))

        if not expression.prepare(exp_context):
            raise QgsProcessingException(
                self.tr('Evaluation error: {0}').format(expression.parserErrorString()))

        features = source.getFeatures()
        total = 100.0 / source.featureCount() if source.featureCount() else 0

        for current, f in enumerate(features):
            if feedback.isCanceled():
                break

            rownum = current + 1
            exp_context.setFeature(f)
            exp_context.lastScope().setVariable("row_number", rownum)
            value = expression.evaluate(exp_context)
            if expression.hasEvalError():
                feedback.reportError(expression.evalErrorString())
            else:
                attrs = f.attributes()
                if new_field or field_index < 0:
                    attrs.append(value)
                else:
                    attrs[field_index] = value
                f.setAttributes(attrs)
                sink.addFeature(f, QgsFeatureSink.FastInsert)
            feedback.setProgress(int(current * total))

        return {self.OUTPUT: dest_id}
 def testAutoArgsAreExpanded(self):
     function = self.expandargs
     args = function.params()
     self.assertEqual(args, 3)
     values = [1, 2, 3]
     exp = QgsExpression("")
     result = function.func(values, None, exp, None)
     # Make sure there is no eval error
     self.assertEqual(exp.evalErrorString(), "")
     self.assertEqual(result, (1, 2, 3))
Beispiel #5
0
def where(layer, exp):
      exp = QgsExpression(exp)
      if exp.hasParserError():
         raise Exception(exp.parserErrorString())
      exp.prepare(layer.pendingFields())
      for feature in layer.getFeatures():
         value = exp.evaluate(feature)
         if exp.hasEvalError():
            raise ValueError(exp.evalErrorString())
         if bool(value):
            yield feature
Beispiel #6
0
 def evaluateExpression(self, text):
     context = QgsExpressionContext()
     context.appendScope(QgsExpressionContextUtils.globalScope())
     context.appendScope(QgsExpressionContextUtils.projectScope())
     exp = QgsExpression(text)
     if exp.hasParserError():
         raise Exception(exp.parserErrorString())
     result = exp.evaluate(context)
     if exp.hasEvalError():
         raise ValueError(exp.evalErrorString())
     return result
Beispiel #7
0
def layer_value(feature, layer, defaultconfig):
    if not canvas:
        roam.utils.warning("No canvas set for using layer_values default function")
        return None
    layers = []
    # layer name can also be a list of layers to search
    layername = defaultconfig['layer']
    if isinstance(layername, basestring):
        layers.append(layername)
    else:
        layers = layername

    expression = defaultconfig['expression']
    field = defaultconfig['field']

    for searchlayer in layers:
        try:
            searchlayer = QgsMapLayerRegistry.instance().mapLayersByName(searchlayer)[0]
        except IndexError:
            RoamEvents.raisemessage("Missing layer",
                                    "Unable to find layer used in widget expression {}".format(searchlayer),
                                    level=1)
            roam.utils.warning("Unable to find expression layer {}".format(searchlayer))
            return
        if feature.geometry():
            rect = feature.geometry().boundingBox()
            if layer.geometryType() == QGis.Point:
                point = feature.geometry().asPoint()
                rect = QgsRectangle(point.x(), point.y(), point.x() + 10, point.y() + 10)

            rect.scale(20)

            rect = canvas.mapRenderer().mapToLayerCoordinates(layer, rect)
            rq = QgsFeatureRequest().setFilterRect(rect)\
                                    .setFlags(QgsFeatureRequest.ExactIntersect)
            features = searchlayer.getFeatures(rq)
        else:
            features = searchlayer.getFeatures()

        exp = QgsExpression(expression)
        exp.prepare(searchlayer.pendingFields())
        if exp.hasParserError():
            error = exp.parserErrorString()
            roam.utils.warning(error)

        for f in features:
            value = exp.evaluate(f)
            if exp.hasEvalError():
                error = exp.evalErrorString()
                roam.utils.warning(error)
            if value:
                return f[field]

    raise DefaultError('No features found')
Beispiel #8
0
 def where(self, exp):
     '''Request feature by QgsExpression
     Usage :
     for feat in layer.where("myfield" = 2):
         ...
     '''
     exp = QgsExpression(exp)
     if exp.hasParserError():
         raise Exception(exp.parserErrorString())
     if exp.hasEvalError():
         raise ValueError(exp.evalErrorString())
     return self.getFeatures(QgsFeatureRequest(exp))
    def calculate( self, layer, fieldName, expression ):
        if ( layer.featureCount() == 0 ):
            self.msg.show( "[Info] * No existing features on layer " + layer.name() + " to calculate expression.", 'info', True )
            return

        expression = QgsExpression( expression )
        if expression.hasParserError():
            self.msg.show( QApplication.translate( "AutoFields-FieldCalculator", "[Error] (Parsing) " ) + \
                expression.parserErrorString(), 'critical' )
            return
        
        context = QgsExpressionContext()
        context.appendScope( QgsExpressionContextUtils.globalScope() )
        context.appendScope( QgsExpressionContextUtils.projectScope() )
        context.appendScope( QgsExpressionContextUtils.layerScope( layer ) )
        context.setFields( layer.fields() )

        if expression.needsGeometry():
            if self.iface:
                # This block was borrowed from QGIS/python/plugins/processing/algs/qgis/FieldsCalculator.py 
                da = QgsDistanceArea()
                da.setSourceCrs( layer.crs().srsid() )
                da.setEllipsoidalMode( self.iface.mapCanvas().mapSettings().hasCrsTransformEnabled() )
                da.setEllipsoid( QgsProject.instance().readEntry( 'Measure', '/Ellipsoid', GEO_NONE )[0] )
                expression.setGeomCalculator( da )
                if QGis.QGIS_VERSION_INT >= 21400: # Methods added in QGIS 2.14
                    expression.setDistanceUnits( QgsProject.instance().distanceUnits() ) 
                    expression.setAreaUnits( QgsProject.instance().areaUnits() )
        
        expression.prepare( context )

        fieldIndex = layer.fieldNameIndex( fieldName )
        if fieldIndex == -1:
            return           
        field = layer.fields()[fieldIndex]
        
        dictResults = {}
        for feature in layer.getFeatures():
            context.setFeature( feature )
            result = expression.evaluate( context )
            if expression.hasEvalError():
                self.msg.show( QApplication.translate( "AutoFields-FieldCalculator", "[Error] (Evaluating) " ) + \
                    expression.evalErrorString(), 'critical' )
                return
                
            dictResults[feature.id()] = { fieldIndex: field.convertCompatible( result ) }
            

        layer.dataProvider().changeAttributeValues( dictResults )
        
        self.msg.show( "[Info] * An expression was calculated on existing features of layer " + layer.name() + ", field " + fieldName + ".", 'info', True )
Beispiel #10
0
 def testExpression(self, row):
     self._errors[row] = None
     field = self._mapping[row]
     expression = QgsExpression(field['expression'])
     if expression.hasParserError():
         self._errors[row] = expression.parserErrorString()
         return
     if self._layer is None:
         return
     dp = self._layer.dataProvider()
     for feature in dp.getFeatures():
         expression.evaluate(feature, dp.fields())
         if expression.hasEvalError():
             self._errors[row] = expression.evalErrorString()
             return
         break
Beispiel #11
0
 def testExpression(self, row):
     self._errors[row] = None
     field = self._mapping[row]
     expression = QgsExpression(field['expression'])
     if expression.hasParserError():
         self._errors[row] = expression.parserErrorString()
         return
     if self._layer is None:
         return
     context = QgsExpressionContextUtils.createFeatureBasedContext(QgsFeature(), self._layer.fields())
     for feature in self._layer.getFeatures():
         context.setFeature(feature)
         expression.evaluate(context)
         if expression.hasEvalError():
             self._errors[row] = expression.evalErrorString()
             return
         break
Beispiel #12
0
    def testExpression(self, row):
        self._errors[row] = None
        field = self._mapping[row]
        exp_context = self.contextGenerator().createExpressionContext()

        expression = QgsExpression(field['expression'])
        expression.prepare(exp_context)
        if expression.hasParserError():
            self._errors[row] = expression.parserErrorString()
            return

        # test evaluation on the first feature
        if self._layer is None:
            return
        for feature in self._layer.getFeatures():
            exp_context.setFeature(feature)
            exp_context.lastScope().setVariable("row_number", 1)
            expression.evaluate(exp_context)
            if expression.hasEvalError():
                self._errors[row] = expression.evalErrorString()
            break
    def processAlgorithm(self, parameters, context, feedback):
        path = self.parameterAsFile(parameters, self.INPUT, context)
        t_file = self.parameterAsVectorLayer(
            parameters,
            self.FILE_TABLE,
            context
        )
        t_troncon = self.parameterAsVectorLayer(
            parameters,
            self.SEGMENT_TABLE,
            context
        )
        t_obs = self.parameterAsVectorLayer(
            parameters,
            self.OBSERVATIONS_TABLE,
            context
        )
        t_regard = self.parameterAsVectorLayer(
            parameters,
            self.MANHOLES_TABLE,
            context
        )

        paths = path.split(';')
        if len(paths) != 1:
            raise QgsProcessingException(
                tr('* ERREUR: 1 fichier a la fois {}.').format(path)
            )

        if not os.path.exists(path):
            raise QgsProcessingException(
                tr('* ERREUR: {} n\'existe pas.').format(path)
            )

        # add date fields to itv file table
        # relation_aggregate(
        #     'itv_tronco_id_file_itv_file20_id',
        #     'max',
        #     "abf"
        # )
        if 'date_debut' not in t_file.dataProvider().fields().names():
            with edit(t_file):
                res = t_file.dataProvider().addAttributes([
                    QgsField("date_debut", QVariant.String),
                    QgsField("date_fin", QVariant.String)
                ])
                if res:
                    t_file.updateFields()

        feat_file = None
        with open(path, 'rb') as f:
            basename = os.path.basename(path)
            md = hashlib.md5()
            md.update(f.read())
            hashcontent = md.hexdigest()

            feat_file = QgsVectorLayerUtils.createFeature(t_file)
            feat_file.setAttribute('basename', basename)
            feat_file.setAttribute('hashcontent', hashcontent)

        if not feat_file:
            raise QgsProcessingException(
                tr(
                    '* ERREUR: le fichier {} n\'a pas été lu '
                    'correctement.'
                ).format(path)
            )

        exp_context = QgsExpressionContext()
        exp_context.appendScope(
            QgsExpressionContextUtils.globalScope()
        )
        exp_context.appendScope(
            QgsExpressionContextUtils.projectScope(context.project())
        )
        exp_context.appendScope(
            QgsExpressionContextUtils.layerScope(t_file)
        )

        exp_str = QgsExpression.createFieldEqualityExpression(
            'basename', feat_file['basename']
        ) + ' AND ' + QgsExpression.createFieldEqualityExpression(
            'hashcontent', feat_file['hashcontent']
        )
        exp = QgsExpression(exp_str)

        exp.prepare(exp_context)
        if exp.hasEvalError():
            raise QgsProcessingException(
                tr('* ERROR: Expression {} has eval error: {}').format(
                    exp.expression(), exp.evalErrorString()
                )
            )

        request = QgsFeatureRequest(exp, exp_context)
        request.setLimit(1)

        for _t in t_file.getFeatures(request):
            raise QgsProcessingException(
                tr('* ERREUR: le fichier {} a deja ete lu').format(
                    path
                )
            )

        exp_str = QgsExpression.createFieldEqualityExpression(
            'hashcontent', feat_file['hashcontent']
        )
        exp = QgsExpression(exp_str)

        exp.prepare(exp_context)
        if exp.hasEvalError():
            raise QgsProcessingException(
                tr('* ERROR: Expression {} has eval error: {}').format(
                    (exp.expression(), exp.evalErrorString())
                )
            )

        request = QgsFeatureRequest(exp, exp_context)
        request.setLimit(1)

        for _t in t_file.getFeatures(request):
            raise QgsProcessingException(
                tr(
                    '* ERREUR: le fichier {} semble deja avoir ete lu'
                ).format(path)
            )

        exp_context = QgsExpressionContext()
        exp_context.appendScope(
            QgsExpressionContextUtils.globalScope()
        )
        exp_context.appendScope(
            QgsExpressionContextUtils.projectScope(context.project())
        )
        exp_context.appendScope(
            QgsExpressionContextUtils.layerScope(t_troncon)
        )

        exp_str = 'maximum("id")'
        exp = QgsExpression(exp_str)

        exp.prepare(exp_context)
        if exp.hasEvalError():
            raise QgsProcessingException(
                tr(
                    '* ERROR: Expression {} has eval error: {}'
                ).format(exp.expression(), exp.evalErrorString())
            )

        last_t_id = exp.evaluate(exp_context)
        if not last_t_id:
            last_t_id = 0

        exp_context = QgsExpressionContext()
        exp_context.appendScope(
            QgsExpressionContextUtils.globalScope()
        )
        exp_context.appendScope(
            QgsExpressionContextUtils.projectScope(context.project())
        )
        exp_context.appendScope(
            QgsExpressionContextUtils.layerScope(t_regard)
        )

        exp_str = 'maximum("id")'
        exp = QgsExpression(exp_str)

        exp.prepare(exp_context)
        if exp.hasEvalError():
            raise QgsProcessingException(
                tr(
                    '* ERROR: Expression {} has eval error: {}'
                ).format(exp.expression(), exp.evalErrorString())
            )

        last_r_id = exp.evaluate(exp_context)
        if not last_r_id:
            last_r_id = 0

        # lecture des entetes
        ENCODING = 'ISO-8859-1'
        LANG = 'fr'
        DELIMITER = ','
        DECIMAL = '.'
        QUOTECHAR = '"'
        VERSION = ''

        with open(path, 'rb') as f:
            for line in f:
                # Stop the algorithm if cancel button has been clicked
                if feedback.isCanceled():
                    return {self.SUCCESS: 0}
                try:
                    line = line.decode()
                except UnicodeDecodeError:
                    raise QgsProcessingException(
                        'Error while reading {}'.format(path)
                    )
                # remove break line
                line = line.replace('\n', '').replace('\r', '')
                if line.startswith('#'):
                    if line.startswith('#A'):
                        if line.startswith('#A1'):
                            ENCODING = line[4:]
                            if ENCODING.find(':') != -1:
                                ENCODING = ENCODING[:ENCODING.find(':')]
                        elif line.startswith('#A2'):
                            LANG = line[4:]
                        elif line.startswith('#A3'):
                            DELIMITER = line[4:]
                        elif line.startswith('#A4'):
                            DECIMAL = line[4:]
                        elif line.startswith('#A5'):
                            QUOTECHAR = line[4:]
                    else:
                        break

        # Dialect CSV pour la lecture des tableaux de valeurs du
        # fichier d'ITV
        class itvDialect(csv.Dialect):
            strict = True
            skipinitialspace = True
            quoting = csv.QUOTE_MINIMAL
            delimiter = DELIMITER
            quotechar = QUOTECHAR
            lineterminator = '\r\n'

        # Liste des troncons, observations et regards
        troncons = []
        regards = []
        observations = []

        # Lectures des donnees
        with open(path, 'rb') as f:
            # Identifiant de départ
            t_id = last_t_id
            r_id = last_r_id
            # Entête
            header = []
            # Nom du tableau
            array = ''
            # Observations de troncons ?
            obs_for_troncon = False
            # initialisation du Dialect CSV pour ITV
            dia = itvDialect()
            # Lecture ligne à ligne du fichier
            for line in f:
                # Stop the algorithm if cancel button has been clicked
                if feedback.isCanceled():
                    return {self.SUCCESS: 0}
                # Decoding line en utilisant l'encoding du fichier
                line = line.decode(ENCODING)
                # remove break line
                line = line.replace('\n', '').replace('\r', '')
                # Ligne commençant par un # est une ligne d'entête
                if line.startswith('#'):
                    # Entête de troncon ou regard
                    if line.startswith('#B'):
                        l_b = io.StringIO(line[5:])
                        for l_r in csv.reader(l_b, dia):
                            header = l_r
                            break
                        array = line[1:4]
                        continue
                    # Entête d'observation
                    elif line.startswith('#C'):
                        if header[0].startswith('A'):
                            obs_for_troncon = True
                        else:
                            obs_for_troncon = False
                        l_b = io.StringIO(line[3:])
                        for l_r in csv.reader(l_b, dia):
                            header = l_r
                            break
                        array = line[1:2]
                        continue
                    # Fin d'observation
                    elif line.startswith('#Z'):
                        header = []
                        array = ''
                        obs_for_troncon = False
                        continue
                # La ligne contient des donnees
                else:
                    if not header:  # an error in the file structure
                        continue
                    l_b = io.StringIO(line)
                    for l_r in csv.reader(l_b, dia):
                        data = l_r
                        row = list(
                            zip(
                                [h.lower() for h in header],
                                [t for t in data]
                            )
                        )
                        # observation
                        if array == 'C':
                            if obs_for_troncon:
                                observations.append(
                                    row + [('id_troncon', t_id)]
                                )
                        # Premiere ligne de description d'un troncon ou regard
                        elif array == 'B01':
                            if header[0].startswith('A'):
                                t_id += 1
                                troncons.append([('id', t_id)] + row)
                            elif header[0].startswith('C'):
                                r_id += 1
                                regards.append([('id', r_id)] + row)
                        # Ligne complémentaire de description
                        else:
                            if header[0].startswith('A'):
                                troncons[-1] += row
                            elif header[0].startswith('C'):
                                regards[-1] += row

        # Recuperation des references de noeuds et dates
        itv_dates = []
        regard_node_refs = []
        regard_ref_id = {}
        max_r_id = last_r_id
        for reg in regards:
            # Stop the algorithm if cancel button has been clicked
            if feedback.isCanceled():
                return {self.SUCCESS: 0}

            d_rg = dict(reg)
            if d_rg['caa'] and d_rg['caa'] not in regard_node_refs:
                regard_node_refs.append(d_rg['caa'])
                regard_ref_id[d_rg['caa']] = d_rg['id']
            if d_rg['id'] and d_rg['id'] > max_r_id:
                max_r_id = d_rg['id']
            if 'cbf' in d_rg and d_rg['cbf'] not in itv_dates:
                itv_dates.append(d_rg['cbf'])

        node_refs = []
        for tro in troncons:
            # Stop the algorithm if cancel button has been clicked
            if feedback.isCanceled():
                return {self.SUCCESS: 0}

            d_tr = dict(tro)
            # The nodes ref are stored in AAB, AAD, AAF and AAT
            if 'aab' in d_tr and \
                    d_tr['aab'] and \
                    d_tr['aab'] not in regard_node_refs and \
                    d_tr['aab'] not in node_refs:
                node_refs.append(d_tr['aab'])
            if 'aad' in d_tr and \
                    d_tr['aad'] and \
                    d_tr['aad'] not in regard_node_refs and \
                    d_tr['aad'] not in node_refs:
                node_refs.append(d_tr['aad'])
            if 'aaf' in d_tr and \
                    d_tr['aaf'] and \
                    d_tr['aaf'] not in regard_node_refs and \
                    d_tr['aaf'] not in node_refs:
                node_refs.append(d_tr['aaf'])
            if 'aat' in d_tr and \
                    d_tr['aat'] and \
                    d_tr['aat'] not in regard_node_refs and \
                    d_tr['aat'] not in node_refs:
                node_refs.append(d_tr['aat'])
            if 'abf' in d_tr and d_tr['abf'] not in itv_dates:
                itv_dates.append(d_tr['abf'])

        # Ajout des regards manquant
        for n_ref in node_refs:
            # Stop the algorithm if cancel button has been clicked
            if feedback.isCanceled():
                return {self.SUCCESS: 0}

            max_r_id += 1
            regards.append([('id', max_r_id), ('caa', n_ref)])
            regard_ref_id[n_ref] = max_r_id

        # Ajout des identifiants de regards aux tronçons
        regard_refs = regard_ref_id.keys()
        for tro in troncons:
            # Stop the algorithm if cancel button has been clicked
            if feedback.isCanceled():
                return {self.SUCCESS: 0}

            d_tr = dict(tro)
            # If AAD is not defined then it is equal to AAB
            if 'aad' not in d:
                d['aad'] = d['aab']
            if d_tr['aad'] and \
                    d_tr['aad'] in regard_refs:
                tro += [('id_regard1', regard_ref_id[d_tr['aad']])]
            if d_tr['aaf'] and \
                    d_tr['aaf'] in regard_refs:
                tro += [('id_regard2', regard_ref_id[d_tr['aaf']])]
            if 'aat' in d_tr.keys() and \
                    d_tr['aat'] and \
                    d_tr['aat'] in regard_refs:
                tro += [('id_regard3', regard_ref_id[d_tr['aat']])]

        # Verification des champs
        fields = provider_fields(t_troncon.fields())
        for tro in troncons:
            # Stop the algorithm if cancel button has been clicked
            if feedback.isCanceled():
                return {self.SUCCESS: 0}

            for key, val in tro:
                # Stop the algorithm if cancel button has been clicked
                if feedback.isCanceled():
                    return {self.SUCCESS: 0}

                if fields.indexOf(key) == -1:
                    raise QgsProcessingException(
                        tr(
                            '* ERREUR dans le fichier : '
                            'le champs de tronçon "{}" est inconnue'
                        ).format(key)
                    )
                field = fields.field(key)
                if isinstance(val, str) and field.isNumeric():
                    if val:
                        try:
                            float(val.replace(DECIMAL, '.'))
                        except BaseException:
                            raise QgsProcessingException(
                                tr(
                                    '* ERREUR dans le fichier : '
                                    'le champs de tronçon "{}" est '
                                    'numérique mais pas la valeur "{}"'
                                ).format(key, val)
                            )

        fields = provider_fields(t_obs.fields())
        for obs in observations:
            # Stop the algorithm if cancel button has been clicked
            if feedback.isCanceled():
                return {self.SUCCESS: 0}

            for key, val in obs:
                # Stop the algorithm if cancel button has been clicked
                if feedback.isCanceled():
                    return {self.SUCCESS: 0}

                if fields.indexOf(key) == -1:
                    raise QgsProcessingException(
                        tr(
                            '* ERREUR dans le fichier : '
                            'le champs d\'observation "{}" est '
                            'inconnue'
                        ).format(key)
                    )
                field = fields.field(key)
                if isinstance(val, str) and field.isNumeric():
                    if val:
                        try:
                            float(val.replace(DECIMAL, '.'))
                        except BaseException:
                            raise QgsProcessingException(
                                tr(
                                    '* ERREUR dans le fichier : '
                                    'le champs d\'observation "{}" est '
                                    'numérique mais pas la valeur "{}"'
                                ).format(key, val)
                            )

        fields = provider_fields(t_regard.fields())
        for reg in regards:
            # Stop the algorithm if cancel button has been clicked
            if feedback.isCanceled():
                return {self.SUCCESS: 0}

            for key, val in reg:
                # Stop the algorithm if cancel button has been clicked
                if feedback.isCanceled():
                    return {self.SUCCESS: 0}

                if fields.indexOf(key) == -1:
                    raise QgsProcessingException(
                        tr(
                            '* ERREUR dans le fichier : '
                            'le champs de regard "{}" est inconnue'
                        ).format(key)
                    )
                field = fields.field(key)
                if isinstance(val, str) and field.isNumeric():
                    if val:
                        try:
                            float(val.replace(DECIMAL, '.'))
                        except BaseException:
                            raise QgsProcessingException(
                                tr(
                                    '* ERREUR dans le fichier : '
                                    'le champs de regard "{}" est '
                                    'numérique mais pas la valeur "{}"'
                                ).format(key, val)
                            )

        # Finalisation objet fichier
        feat_file.setAttribute('encoding', ENCODING)
        feat_file.setAttribute('lang', LANG)
        if VERSION:
            feat_file.setAttribute('version', VERSION)
        if itv_dates:
            feat_file.setAttribute('date_debut', min(itv_dates))
            feat_file.setAttribute('date_fin', max(itv_dates))

        # Stop the algorithm if cancel button has been clicked
        if feedback.isCanceled():
            return {self.SUCCESS: 0}

        # Ajout de l'objet fichier
        t_file.startEditing()
        (res, outFeats) = t_file.dataProvider().addFeatures([feat_file])
        if not res or not outFeats:
            raise QgsProcessingException(
                tr(
                    '* ERREUR: lors de l\'enregistrement du fichier {}'
                ).format(', '.join(t_file.dataProvider().errors()))
            )
        if not t_file.commitChanges():
            raise QgsProcessingException(
                tr('* ERROR: Commit {}.').format(t_file.commitErrors())
            )

        # Mise a jour de l'identifiant de l'objet fichier
        feat_file.setAttribute('id', outFeats[0]['id'])

        # Creation des objets troncons
        features = []
        fields = provider_fields(t_troncon.fields())
        for tro in troncons:
            feat_t = QgsVectorLayerUtils.createFeature(t_troncon)
            feat_t.setAttribute('id_file', feat_file['id'])
            for key, val in tro:
                field = fields.field(key)
                if isinstance(val, str) and field.isNumeric():
                    if val:
                        feat_t.setAttribute(
                            key, float(val.replace(DECIMAL, '.'))
                        )
                else:
                    feat_t.setAttribute(key, val)
            features.append(feat_t)

        # Ajout des objets troncons
        if features:
            t_troncon.startEditing()
            (res, outFeats) = t_troncon.dataProvider().addFeatures(features)
            if not res or not outFeats:
                raise QgsProcessingException(
                    tr(
                        '* ERREUR: lors de l\'enregistrement '
                        'des troncon {}'
                    ).format(
                        ', '.join(t_troncon.dataProvider().errors())
                    )
                )
            if not t_troncon.commitChanges():
                raise QgsProcessingException(
                    tr('* ERROR: Commit {}.').format(
                        t_troncon.commitErrors()
                    )
                )

        # Creation des objets observations
        features = []
        fields = provider_fields(t_obs.fields())
        for obs in observations:
            feat_o = QgsVectorLayerUtils.createFeature(t_obs)
            feat_o.setAttribute('id_file', feat_file['id'])
            for key, val in obs:
                field = fields.field(key)
                if isinstance(val, str) and field.isNumeric():
                    if val:
                        feat_o.setAttribute(
                            key, float(val.replace(DECIMAL, '.'))
                        )
                else:
                    feat_o.setAttribute(key, val)
            features.append(feat_o)

        # Ajout des objets observations
        if features:
            t_obs.startEditing()
            (res, outFeats) = t_obs.dataProvider().addFeatures(features)
            if not res or not outFeats:
                raise QgsProcessingException(
                    tr(
                        '* ERREUR: lors de l\'enregistrement '
                        'des observations {}'
                    ).format(
                        ', '.join(t_obs.dataProvider().errors())
                    )
                )
            if not t_obs.commitChanges():
                raise QgsProcessingException(
                    tr('* ERROR: Commit {}.').format(
                        t_obs.commitErrors()
                    )
                )

        # Creation des objets regards
        features = []
        fields = provider_fields(t_regard.fields())
        for reg in regards:
            feat_r = QgsVectorLayerUtils.createFeature(t_regard)
            feat_r.setAttribute('id_file', feat_file['id'])
            for key, val in reg:
                field = fields.field(key)
                if isinstance(val, str) and field.isNumeric():
                    if val:
                        feat_r.setAttribute(
                            key, float(val.replace(DECIMAL, '.'))
                        )
                else:
                    feat_r.setAttribute(key, val)
            features.append(feat_r)

        # Ajout des objets regards
        if features:
            t_regard.startEditing()
            (res, outFeats) = t_regard.dataProvider().addFeatures(
                features
            )
            if not res or not outFeats:
                raise QgsProcessingException(
                    tr(
                        '* ERREUR: lors de l\'enregistrement '
                        'des regards {}'
                    ).format(
                        ', '.join(t_regard.dataProvider().errors())
                    )
                )
            if not t_regard.commitChanges():
                raise QgsProcessingException(
                    tr('* ERROR: Commit %s.').format(
                        t_regard.commitErrors()
                    )
                )

        # Returns empty dict if no outputs
        return {self.SUCCESS: 1}
Beispiel #14
0
    def evaluate(self, params: Dict[str, str], response: QgsServerResponse,
                 project: QgsProject) -> None:
        """ Evaluate expressions against layer or features
        In parameters:
            LAYER=wms-layer-name
            EXPRESSION=An expression to evaluate
            or
            EXPRESSIONS=["first expression", "second expression"]
            or
            EXPRESSIONS={"key1": "first expression", "key2": "second expression"}
            // optionals
            FEATURE={"type": "Feature", "geometry": {}, "properties": {}}
            or
            FEATURES=[{"type": "Feature", "geometry": {}, "properties": {}}, {"type": "Feature", "geometry": {}, "properties": {}}]
            FORM_SCOPE=boolean to add formScope based on provided features
        """

        layername = params.get('LAYER', '')
        if not layername:
            raise ExpressionServiceError(
                "Bad request error",
                "Invalid 'Evaluate' REQUEST: LAYER parameter is mandatory",
                400)

        # get layer
        layer = findVectorLayer(layername, project)
        # layer not found
        if not layer:
            raise ExpressionServiceError(
                "Bad request error",
                "Invalid LAYER parameter for 'Evaluate': {} provided".format(
                    layername), 400)

        # get expressions
        expressions = params.get('EXPRESSIONS', '')
        if not expressions:
            expression = params.get('EXPRESSION', '')
            if not expression:
                raise ExpressionServiceError(
                    "Bad request error",
                    "Invalid 'Evaluate' REQUEST: EXPRESSION or EXPRESSIONS parameter is mandatory",
                    400)
            expressions = '["{}"]'.format(expression)

        # try to load expressions list or dict
        exp_json = None
        try:
            exp_json = json.loads(expressions)
        except Exception:
            QgsMessageLog.logMessage(
                "JSON loads expressions '{}' exception:\n{}".format(
                    expressions, traceback.format_exc()), "lizmap",
                Qgis.Critical)
            raise ExpressionServiceError(
                "Bad request error",
                "Invalid 'Evaluate' REQUEST: EXPRESSIONS '{}' are not well formed"
                .format(expressions), 400)

        # create expression context
        exp_context = QgsExpressionContext()
        exp_context.appendScope(QgsExpressionContextUtils.globalScope())
        exp_context.appendScope(
            QgsExpressionContextUtils.projectScope(project))
        exp_context.appendScope(QgsExpressionContextUtils.layerScope(layer))

        # create distance area context
        da = QgsDistanceArea()
        da.setSourceCrs(layer.crs(), project.transformContext())
        da.setEllipsoid(project.ellipsoid())

        # parse expressions
        exp_map = {}
        exp_parser_errors = []
        exp_items = []
        if isinstance(exp_json, list):
            exp_items = enumerate(exp_json)
        elif isinstance(exp_json, dict):
            exp_items = exp_json.items()
        for k, e in exp_items:
            exp = QgsExpression(e)
            exp.setGeomCalculator(da)
            exp.setDistanceUnits(project.distanceUnits())
            exp.setAreaUnits(project.areaUnits())

            if exp.hasParserError():
                exp_parser_errors.append('Error "{}": {}'.format(
                    e, exp.parserErrorString()))
                continue

            if not exp.isValid():
                exp_parser_errors.append('Expression not valid "{}"'.format(e))
                continue

            exp.prepare(exp_context)
            exp_map[k] = exp

        # expression parser errors found
        if exp_parser_errors:
            raise ExpressionServiceError(
                "Bad request error",
                "Invalid EXPRESSIONS for 'Evaluate':\n{}".format(
                    '\n'.join(exp_parser_errors)), 400)

        # get features
        features = params.get('FEATURES', '')
        if not features:
            feature = params.get('FEATURE', '')
            if feature:
                features = '[' + feature + ']'

        # create the body
        body = {
            'status': 'success',
            'results': [],
            'errors': [],
            'features': 0
        }

        # without features just evaluate expression with layer context
        if not features:
            result = {}
            error = {}
            for k, exp in exp_map.items():
                value = exp.evaluate(exp_context)
                if exp.hasEvalError():
                    result[k] = None
                    error[k] = exp.evalErrorString()
                else:
                    result[k] = json.loads(QgsJsonUtils.encodeValue(value))
            body['results'].append(result)
            body['errors'].append(error)
            write_json_response(body, response)
            return

        # Check features
        geojson = []
        try:
            geojson = json.loads(features)
        except Exception:
            QgsMessageLog.logMessage(
                "JSON loads features '{}' exception:\n{}".format(
                    features, traceback.format_exc()), "lizmap", Qgis.Critical)
            raise ExpressionServiceError(
                "Bad request error",
                "Invalid 'Evaluate' REQUEST: FEATURES '{}' are not well formed"
                .format(features), 400)

        if not geojson or not isinstance(geojson, list) or len(geojson) == 0:
            raise ExpressionServiceError(
                "Bad request error",
                "Invalid 'Evaluate' REQUEST: FEATURES '{}' are not well formed"
                .format(features), 400)

        if ('type' not in geojson[0]) or geojson[0]['type'] != 'Feature':
            raise ExpressionServiceError(
                "Bad request error",
                "Invalid 'Evaluate' REQUEST: FEATURES '{}' are not well formed: type not defined or not Feature."
                .format(features), 400)

        # try to load features
        # read fields
        feature_fields = QgsJsonUtils.stringToFields(
            '{ "type": "FeatureCollection","features":' + features + '}',
            QTextCodec.codecForName("UTF-8"))
        # read features
        feature_list = QgsJsonUtils.stringToFeatureList(
            '{ "type": "FeatureCollection","features":' + features + '}',
            feature_fields, QTextCodec.codecForName("UTF-8"))

        # features not well formed
        if not feature_list:
            raise ExpressionServiceError(
                "Bad request error",
                "Invalid FEATURES for 'Evaluate': not GeoJSON features array provided\n{}"
                .format(features), 400)

        # Extend layer fields with this provided in GeoJSON Features
        feat_fields = QgsFields(layer.fields())
        feat_fields.extend(feature_fields)

        # form scope
        addFormScope = params.get('FORM_SCOPE',
                                  '').lower() in ['true', '1', 't']

        # loop through provided features to evaluate expressions
        for f in feature_list:
            # clone the features with all attributes
            # those defined in layer + fields from GeoJSON Features
            feat = QgsFeature(feat_fields)
            feat.setGeometry(f.geometry())
            for field in f.fields():
                fname = field.name()
                if feat_fields.indexOf(fname) != -1:
                    feat.setAttribute(fname, f[fname])

            # Add form scope to expression context
            if addFormScope:
                exp_context.appendScope(
                    QgsExpressionContextUtils.formScope(feat))

            exp_context.setFeature(feat)
            exp_context.setFields(feat.fields())

            # Evaluate expressions with the new feature
            result = {}
            error = {}
            for k, exp in exp_map.items():
                if addFormScope:  # need to prepare the expression because the context as been updated with a new scope
                    exp.prepare(exp_context)
                value = exp.evaluate(exp_context)
                if exp.hasEvalError():
                    result[k] = None
                    error[k] = exp.evalErrorString()
                else:
                    result[k] = json.loads(QgsJsonUtils.encodeValue(value))
                    error[k] = exp.expression()
            body['results'].append(result)
            body['errors'].append(error)

        write_json_response(body, response)
        return
Beispiel #15
0
def layer_value(feature, layer, defaultconfig):
    if not canvas:
        roam.utils.warning(
            "No canvas set for using layer_values default function")
        return None
    layers = []
    # layer name can also be a list of layers to search
    layername = defaultconfig['layer']
    if isinstance(layername, basestring):
        layers.append(layername)
    else:
        layers = layername

    expression = defaultconfig['expression']
    field = defaultconfig['field']

    for searchlayer in layers:
        try:
            searchlayer = QgsMapLayerRegistry.instance().mapLayersByName(
                searchlayer)[0]
        except IndexError:
            RoamEvents.raisemessage(
                "Missing layer",
                "Unable to find layer used in widget expression {}".format(
                    searchlayer),
                level=1)
            roam.utils.warning(
                "Unable to find expression layer {}".format(searchlayer))
            return
        if feature.geometry():
            rect = feature.geometry().boundingBox()
            if layer.geometryType() == QGis.Point:
                point = feature.geometry().asPoint()
                rect = QgsRectangle(point.x(), point.y(),
                                    point.x() + 10,
                                    point.y() + 10)

            rect.scale(20)

            rect = canvas.mapRenderer().mapToLayerCoordinates(layer, rect)
            rq = QgsFeatureRequest().setFilterRect(rect)\
                                    .setFlags(QgsFeatureRequest.ExactIntersect)
            features = searchlayer.getFeatures(rq)
        else:
            features = searchlayer.getFeatures()

        exp = QgsExpression(expression)
        exp.prepare(searchlayer.pendingFields())
        if exp.hasParserError():
            error = exp.parserErrorString()
            roam.utils.warning(error)

        for f in features:
            value = exp.evaluate(f)
            if exp.hasEvalError():
                error = exp.evalErrorString()
                roam.utils.warning(error)
            if value:
                return f[field]

    raise DefaultError('No features found')
Beispiel #16
0
    def virtualFields(self, params: Dict[str,
                                         str], response: QgsServerResponse,
                      project: QgsProject) -> None:
        """ Get virtual fields for features
        In parameters:
            LAYER=wms-layer-name
            VIRTUALS={"key1": "first expression", "key2": "second expression"}
            // optionals
            FILTER=An expression to filter layer
            FIELDS=list of requested field separated by comma
            WITH_GEOMETRY=False
        """
        layername = params.get('LAYER', '')
        if not layername:
            raise ExpressionServiceError(
                "Bad request error",
                "Invalid 'VirtualFields' REQUEST: LAYER parameter is mandatory",
                400)

        # get layer
        layer = findVectorLayer(layername, project)
        # layer not found
        if not layer:
            raise ExpressionServiceError(
                "Bad request error",
                "Invalid LAYER parameter for 'VirtualFields': {} provided".
                format(layername), 400)

        # get virtuals
        virtuals = params.get('VIRTUALS', '')
        if not virtuals:
            raise ExpressionServiceError(
                "Bad request error",
                "Invalid 'VirtualFields' REQUEST: VIRTUALS parameter is mandatory",
                400)

        # try to load virtuals dict
        vir_json = None
        try:
            vir_json = json.loads(virtuals)
        except Exception:
            QgsMessageLog.logMessage(
                "JSON loads virtuals '{}' exception:\n{}".format(
                    virtuals, traceback.format_exc()), "lizmap", Qgis.Critical)
            raise ExpressionServiceError(
                "Bad request error",
                "Invalid 'VirtualFields' REQUEST: VIRTUALS '{}' are not well formed"
                .format(virtuals), 400)

        if not isinstance(vir_json, dict):
            raise ExpressionServiceError(
                "Bad request error",
                "Invalid 'VirtualFields' REQUEST: VIRTUALS '{}' are not well formed"
                .format(virtuals), 400)

        # create expression context
        exp_context = QgsExpressionContext()
        exp_context.appendScope(QgsExpressionContextUtils.globalScope())
        exp_context.appendScope(
            QgsExpressionContextUtils.projectScope(project))
        exp_context.appendScope(QgsExpressionContextUtils.layerScope(layer))

        # create distance area context
        da = QgsDistanceArea()
        da.setSourceCrs(layer.crs(), project.transformContext())
        da.setEllipsoid(project.ellipsoid())

        # parse virtuals
        exp_map = {}
        exp_parser_errors = []
        for k, e in vir_json.items():
            exp = QgsExpression(e)
            exp.setGeomCalculator(da)
            exp.setDistanceUnits(project.distanceUnits())
            exp.setAreaUnits(project.areaUnits())

            if exp.hasParserError():
                exp_parser_errors.append('Error "{}": {}'.format(
                    e, exp.parserErrorString()))
                continue

            if not exp.isValid():
                exp_parser_errors.append('Expression not valid "{}"'.format(e))
                continue

            exp.prepare(exp_context)
            exp_map[k] = exp

        # expression parser errors found
        if exp_parser_errors:
            raise ExpressionServiceError(
                "Bad request error",
                "Invalid VIRTUALS for 'VirtualFields':\n{}".format(
                    '\n'.join(exp_parser_errors)), 400)

        req = QgsFeatureRequest()

        # get filter
        req_filter = params.get('FILTER', '')
        if req_filter:
            req_exp = QgsExpression(req_filter)
            req_exp.setGeomCalculator(da)
            req_exp.setDistanceUnits(project.distanceUnits())
            req_exp.setAreaUnits(project.areaUnits())

            if req_exp.hasParserError():
                raise ExpressionServiceError(
                    "Bad request error",
                    "Invalid FILTER for 'VirtualFields' Error \"{}\": {}".
                    format(req_filter, req_exp.parserErrorString()), 400)

            if not req_exp.isValid():
                raise ExpressionServiceError(
                    "Bad request error",
                    "Invalid FILTER for 'VirtualFields' Expression not valid \"{}\""
                    .format(req_filter), 400)

            req_exp.prepare(exp_context)
            req = QgsFeatureRequest(req_exp, exp_context)

        # With geometry
        withGeom = params.get('WITH_GEOMETRY',
                              '').lower() in ['true', '1', 't']
        if not withGeom:
            req.setFlags(QgsFeatureRequest.NoGeometry)

        # Fields
        pkAttributes = layer.primaryKeyAttributes()
        attributeList = [i for i in pkAttributes]
        fields = layer.fields()
        r_fields = [
            f.strip() for f in params.get('FIELDS', '').split(',') if f
        ]
        for f in r_fields:
            attributeList.append(fields.indexOf(f))

        # response
        response.setStatusCode(200)
        response.setHeader("Content-Type", "application/json")
        response.write('{ "type": "FeatureCollection","features":[')
        response.flush()

        jsonExporter = QgsJsonExporter(layer)
        if attributeList:
            jsonExporter.setAttributes(attributeList)

        separator = ''
        for feat in layer.getFeatures(req):
            fid = layername + '.' + getServerFid(feat, pkAttributes)

            extra = {}

            # Update context
            exp_context.setFeature(feat)
            exp_context.setFields(feat.fields())

            # Evaluate expressions for virtual fields
            errors = {}
            for k, exp in exp_map.items():
                value = exp.evaluate(exp_context)
                if exp.hasEvalError():
                    extra[k] = None
                    errors[k] = exp.evalErrorString()
                else:
                    extra[k] = json.loads(QgsJsonUtils.encodeValue(value))
                    errors[k] = exp.expression()

            response.write(separator +
                           jsonExporter.exportFeature(feat, extra, fid))
            response.flush()
            separator = ',\n'
        response.write(']}')
        return
    def export_all_features(self):
        pdf_painter = None
        """Export map to pdf atlas style (one page per feature)"""
        if VRP_DEBUG is True: QgsMessageLog.logMessage(u'exporting map', DLG_CAPTION)
        try:

            result = self.__delete_pdf()
            if not result is None:
                return result

            ids = []
            exp = QgsExpression(self.feature_filter)
            if exp.hasParserError():
                raise Exception(exp.parserErrorString())
            exp.prepare(self.coverage_layer.pendingFields())
            for feature in self.coverage_layer.getFeatures():
                value = exp.evaluate(feature)
                if exp.hasEvalError():
                    raise ValueError(exp.evalErrorString())
                if bool(value):
                    if VRP_DEBUG is True: QgsMessageLog.logMessage(u'export map, feature id:{0}'.format(feature.id()), DLG_CAPTION)
                    ids.append(feature.id())
            self.coverage_layer.select(ids)
            bbox = self.coverage_layer.boundingBoxOfSelected()
            self.canvas.zoomToSelected(self.coverage_layer)
            if VRP_DEBUG is True: QgsMessageLog.logMessage(u'bbox:{0}'.format(bbox.toString()), DLG_CAPTION)

            #self.map_renderer.setExtent(bbox)
            #self.map_renderer.updateScale()

            #read plotlayout
            composition = QgsComposition(self.map_renderer)
            self.composition = composition
            composition.setPlotStyle(QgsComposition.Print)
            error, xml_doc = self.__read_template()
            if not error is None:
                return error
            if composition.loadFromTemplate(xml_doc) is False:
                return u'Konnte Template nicht laden!\n{0}'.format(self.template_qpt)

            #read textinfo layout
            self.comp_textinfo = QgsComposition(self.map_renderer)
            self.comp_textinfo.setPlotStyle(QgsComposition.Print)
            error, xml_doc = self.__read_template(True)
            if not error is None:
                return error
            if self.comp_textinfo.loadFromTemplate(xml_doc) is False:
                return u'Konnte Template nicht laden!\n{0}'.format(self.settings.textinfo_layout())


            new_ext = bbox
            if QGis.QGIS_VERSION_INT > 20200:
                compmaps = self.__get_items(QgsComposerMap)
                if len(compmaps) < 1:
                    return u'Kein Kartenfenster im Layout vorhanden!'
                compmap = compmaps[0]
            else:
                if len(composition.composerMapItems()) < 1:
                    return u'Kein Kartenfenster im Layout vorhanden!'
                compmap = composition.composerMapItems()[0]

            self.composermap = compmap
            #self.composermap.setPreviewMode(QgsComposerMap.Render)
            #self.composermap.setPreviewMode(QgsComposerMap.Rectangle)
            #taken from QgsComposerMap::setNewAtlasFeatureExtent (not yet available in QGIS 2.0)
            #http://www.qgis.org/api/qgscomposermap_8cpp_source.html#l00610
            old_ratio = compmap.rect().width() / compmap.rect().height()
            new_ratio = new_ext.width() / new_ext.height()
            if old_ratio < new_ratio:
                new_height = new_ext.width() / old_ratio
                delta_height = new_height - new_ext.height()
                new_ext.setYMinimum( bbox.yMinimum() - delta_height / 2)
                new_ext.setYMaximum(bbox.yMaximum() + delta_height / 2)
            else:
                new_width = old_ratio * new_ext.height()
                delta_width = new_width - new_ext.width()
                new_ext.setXMinimum(bbox.xMinimum() - delta_width / 2)
                new_ext.setXMaximum(bbox.xMaximum() + delta_width / 2)

            if VRP_DEBUG is True: QgsMessageLog.logMessage(u'bbox old:{0}'.format(compmap.extent().toString()), DLG_CAPTION)
            compmap.setNewExtent(new_ext)
            if VRP_DEBUG is True: QgsMessageLog.logMessage(u'bbox new:{0}'.format(compmap.extent().toString()), DLG_CAPTION)
            #round up to next 1000
            compmap.setNewScale(math.ceil((compmap.scale()/1000.0)) * 1000.0)
            if VRP_DEBUG is True: QgsMessageLog.logMessage(u'bbox new (after scale):{0}'.format(compmap.extent().toString()), DLG_CAPTION)

            #add ORTHO after new extent -> performance
            if not self.ortho is None:
                self.ortho_lyr = self.__add_raster_layer(self.ortho, self.lyrname_ortho)
                self.__reorder_layers()

            self.comp_leg = self.__get_items(QgsComposerLegend)
            self.comp_lbl = self.__get_items(QgsComposerLabel)


            self.__update_composer_items(self.settings.dkm_gemeinde(self.gem_name)['lyrnamegstk'])

            if VRP_DEBUG is True:
                QgsMessageLog.logMessage(u'paperWidth:{0} paperHeight:{1}'.format(composition.paperWidth(), composition.paperHeight()), DLG_CAPTION)

            printer = QPrinter()
            printer.setOutputFormat(QPrinter.PdfFormat)
            printer.setOutputFileName(self.pdf_map)
            printer.setPaperSize(QSizeF(composition.paperWidth(), composition.paperHeight()), QPrinter.Millimeter)
            printer.setFullPage(True)
            printer.setColorMode(QPrinter.Color)
            printer.setResolution(composition.printResolution())

            pdf_painter = QPainter(printer)
            paper_rect_pixel = printer.pageRect(QPrinter.DevicePixel)
            paper_rect_mm = printer.pageRect(QPrinter.Millimeter)
            QgsPaintEngineHack.fixEngineFlags(printer.paintEngine())
            #DKM only
            if len(self.themen) < 1:
                composition.render(pdf_painter, paper_rect_pixel, paper_rect_mm)
            else:
                self.statistics = OrderedDict()
                try:
                    pass
                    #lyr = QgsVectorLayer('/home/bergw/VoGIS-Raumplanung-Daten/Geodaten/Raumplanung/Flaechenwidmung/Dornbirn/Flaechenwidmungsplan/fwp_flaeche.shp', 'flaeiw', 'ogr')
                    #lyr.loadNamedStyle('/home/bergw/VoGIS-Raumplanung-Daten/Geodaten/Raumplanung/Flaechenwidmung/Vorarlberg/Flaechenwidmungsplan/fwp_flaeche.qml')
                    #QgsMapLayerRegistry.instance().addMapLayer(lyr)
                except:
                    QgsMessageLog.logMessage('new lyr:{0}'.format(sys.exc_info()[0]), DLG_CAPTION)
                #QgsMapLayerRegistry.instance().addMapLayer(lyr)
                cntr = 0
                for thema, sub_themen in self.themen.iteritems():
                    if VRP_DEBUG is True: QgsMessageLog.logMessage('drucke Thema:{0}'.format(thema.name), DLG_CAPTION)
                    if sub_themen is None:
                        layers = self.__add_layers(thema)
                        self.__calculate_statistics(thema, thema, layers)
                        #no qml -> not visible -> means no map
                        if self.__at_least_one_visible(layers) is True:
                            if cntr > 0:
                                printer.newPage()
                            self.__reorder_layers()
                            self.__update_composer_items(thema.name, layers=layers)
                            composition.renderPage(pdf_painter, 0)
                            QgsMapLayerRegistry.instance().removeMapLayers([lyr.id() for lyr in layers])
                            cntr += 1
                        else:
                            QgsMapLayerRegistry.instance().removeMapLayers([lyr.id() for lyr in layers])
                    if not sub_themen is None:
                        for sub_thema in sub_themen:
                            if VRP_DEBUG is True: QgsMessageLog.logMessage(u'drucke SubThema:{0}'.format(sub_thema.name), DLG_CAPTION)
                            layers = self.__add_layers(sub_thema)
                            self.__calculate_statistics(thema, sub_thema, layers)
                            #no qml -> not visible -> means no map
                            if self.__at_least_one_visible(layers) is True:
                                if cntr > 0:
                                    printer.newPage()
                                self.__reorder_layers()
                                self.__update_composer_items(thema.name, subthema=sub_thema.name, layers=layers)
                                composition.renderPage(pdf_painter, 0)
                                QgsMapLayerRegistry.instance().removeMapLayers([lyr.id() for lyr in layers])
                                cntr += 1
                            else:
                                QgsMapLayerRegistry.instance().removeMapLayers([lyr.id() for lyr in layers])
            #output statistics
            if len(self.statistics) > 0:
                printer.setPaperSize(QSizeF(210, 297), QPrinter.Millimeter)
                tabelle = self.__get_item_byid(self.comp_textinfo, 'TABELLE')
                if tabelle is None:
                    self.iface.messageBar().pushMessage(u'Layout (Textinfo): Kein Textelement mit ID "TABELLE" vorhanden.', QgsMessageBar.CRITICAL)
                else:
                    try:
                        str_flaechen = ''
                        idx = 0
                        for gnr, stats in self.statistics.iteritems():
                            comma = ', ' if idx > 0 else ''
                            str_flaechen += u'{0}{1} ({2:.2f}m²)'.format(comma, gnr, stats[0].flaeche)
                            idx += 1
                        lbls = self.__get_items(QgsComposerLabel, self.comp_textinfo)
                        self.__update_composer_items('', labels=lbls, gnrflaeche=str_flaechen)
                        html = tabelle.text()
                        html += u'<table>'
                        #gnrcnt = 0
                        for gnr, stats in self.statistics.iteritems():
                            #if gnrcnt > 0:
                            #    html += u'<tr class="abstand"><td>&nbsp;</td><td>&nbsp;</td><td>&nbsp;</td></tr>'
                            html += u'<tr><th class="gnr"></th><th class="gnr">{0}</th><th class="gnr"></th></tr>'.format(gnr)
                            #html += u'<tr class="abstand"><td>&nbsp;</td><td>&nbsp;</td><td>&nbsp;</td></tr>'
                            curr_thema = ''
                            for stat in stats:
                                if stat.thema != curr_thema:
                                    html += u'<tr><th class="thema"></th><th class="thema">{0}</th><th class="thema"></th></tr>'.format(stat.thema)
                                curr_thema = stat.thema
                                for thema, subthema in stat.subthemen.iteritems():
                                    for quelle in subthema:
                                        html += u'<tr><td class="col1">{0}</td>'.format(quelle.name)
                                        attr_val = ''
                                        attr_area = ''
                                        for text, area in quelle.txt_area.iteritems():
                                            attr_val += u'{0}<br />'.format(text)
                                            attr_area += u'{0:.2f}m² <br />'.format(area)
                                        html += u'<td class="col2">{0}</td><td class="col3">{1}</td></tr>'.format(attr_val, attr_area)
                            #gnrcnt += 1
                        html += u'</table>'
                        tabelle.setText(html)
                        printer.newPage()
                        self.comp_textinfo.renderPage(pdf_painter, 0)
                    except:
                        msg = 'Statistikausgabe:\n\n{0}'.format(traceback.format_exc())
                        QgsMessageLog.logMessage(msg, DLG_CAPTION)
                        self.iface.messageBar().pushMessage(msg, QgsMessageBar.CRITICAL)
        except:
            msg = 'export pdf (catch all):\n\n{0}'.format(traceback.format_exc())
            QgsMessageLog.logMessage(msg, DLG_CAPTION)
            self.iface.messageBar().pushMessage(msg.replace(u'\n', u''), QgsMessageBar.CRITICAL)
            return msg
        finally:
            #end pdf
            if not pdf_painter is None:
                pdf_painter.end()
        return None
Beispiel #18
0
    def processAlgorithm(self, progress):
        layer = self.getParameterValue(self.INPUT_LAYER)
        mapping = self.getParameterValue(self.FIELDS_MAPPING)
        output = self.getOutputFromName(self.OUTPUT_LAYER)

        layer = dataobjects.getObjectFromUri(layer)
        provider = layer.dataProvider()
        fields = []
        expressions = []
        for field_def in mapping:
            fields.append(QgsField(name=field_def['name'],
                                   type=field_def['type'],
                                   len=field_def['length'],
                                   prec=field_def['precision']))

            expression = QgsExpression(field_def['expression'])
            if expression.hasParserError():
                raise GeoAlgorithmExecutionException(
                    self.tr(u'Parser error in expression "{}": {}')
                    .format(unicode(field_def['expression']),
                            unicode(expression.parserErrorString())))
            expression.prepare(provider.fields())
            if expression.hasEvalError():
                raise GeoAlgorithmExecutionException(
                    self.tr(u'Evaluation error in expression "{}": {}')
                    .format(unicode(field_def['expression']),
                            unicode(expression.evalErrorString())))
            expressions.append(expression)

        writer = output.getVectorWriter(fields,
                                        provider.geometryType(),
                                        layer.crs())

        # Create output vector layer with new attributes
        error = ''
        calculationSuccess = True
        inFeat = QgsFeature()
        outFeat = QgsFeature()
        features = vector.features(layer)
        count = len(features)
        for current, inFeat in enumerate(features):
            rownum = current + 1

            outFeat.setGeometry(inFeat.geometry())

            attrs = []
            for i in xrange(0, len(mapping)):
                field_def = mapping[i]
                expression = expressions[i]
                expression.setCurrentRowNumber(rownum)
                value = expression.evaluate(inFeat)
                if expression.hasEvalError():
                    calculationSuccess = False
                    error = expression.evalErrorString()
                    break

                attrs.append(value)
            outFeat.setAttributes(attrs)

            writer.addFeature(outFeat)

            current += 1
            progress.setPercentage(100 * current / float(count))

        del writer

        if not calculationSuccess:
            raise GeoAlgorithmExecutionException(
                self.tr('An error occurred while evaluating the calculation'
                        ' string:\n') + error)
Beispiel #19
0
    def processAlgorithm(self, progress):
        layer = self.getParameterValue(self.INPUT_LAYER)
        mapping = self.getParameterValue(self.FIELDS_MAPPING)
        output = self.getOutputFromName(self.OUTPUT_LAYER)

        layer = dataobjects.getObjectFromUri(layer)
        fields = []
        expressions = []

        da = QgsDistanceArea()
        da.setSourceCrs(layer.crs().srsid())
        da.setEllipsoidalMode(
            iface.mapCanvas().mapSettings().hasCrsTransformEnabled())
        da.setEllipsoid(QgsProject.instance().readEntry(
            'Measure', '/Ellipsoid', GEO_NONE)[0])

        exp_context = QgsExpressionContext()
        exp_context.appendScope(QgsExpressionContextUtils.globalScope())
        exp_context.appendScope(QgsExpressionContextUtils.projectScope())
        exp_context.appendScope(QgsExpressionContextUtils.layerScope(layer))

        for field_def in mapping:
            fields.append(
                QgsField(name=field_def['name'],
                         type=field_def['type'],
                         len=field_def['length'],
                         prec=field_def['precision']))

            expression = QgsExpression(field_def['expression'])
            expression.setGeomCalculator(da)
            expression.setDistanceUnits(QgsProject.instance().distanceUnits())
            expression.setAreaUnits(QgsProject.instance().areaUnits())

            if expression.hasParserError():
                raise GeoAlgorithmExecutionException(
                    self.tr(u'Parser error in expression "{}": {}').format(
                        unicode(field_def['expression']),
                        unicode(expression.parserErrorString())))
            expression.prepare(exp_context)
            if expression.hasEvalError():
                raise GeoAlgorithmExecutionException(
                    self.tr(u'Evaluation error in expression "{}": {}').format(
                        unicode(field_def['expression']),
                        unicode(expression.evalErrorString())))
            expressions.append(expression)

        writer = output.getVectorWriter(fields, layer.wkbType(), layer.crs())

        # Create output vector layer with new attributes
        error = ''
        calculationSuccess = True
        inFeat = QgsFeature()
        outFeat = QgsFeature()
        features = vector.features(layer)
        total = 100.0 / len(features)
        for current, inFeat in enumerate(features):
            rownum = current + 1

            geometry = inFeat.geometry()
            outFeat.setGeometry(geometry)

            attrs = []
            for i in xrange(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():
                    calculationSuccess = False
                    error = expression.evalErrorString()
                    break

                attrs.append(value)
            outFeat.setAttributes(attrs)

            writer.addFeature(outFeat)

            progress.setPercentage(int(current * total))

        del writer

        if not calculationSuccess:
            raise GeoAlgorithmExecutionException(
                self.tr('An error occurred while evaluating the calculation'
                        ' string:\n') + error)
    def processAlgorithm(self, parameters, context, feedback):

        t_troncon = self.parameterAsSource(parameters, self.SEGMENTS_TABLE,
                                           context)
        g_troncon = self.parameterAsSource(parameters, self.GEOM_SEGMENTS,
                                           context)
        t_obs = self.parameterAsSource(parameters, self.OBSERVATION_TABLE,
                                       context)
        g_obs = self.parameterAsVectorLayer(parameters, self.GEOM_OBSERVATION,
                                            context)

        # Get troncon ids and file ids
        exp_context = QgsExpressionContext()
        exp_context.appendScope(QgsExpressionContextUtils.globalScope())
        exp_context.appendScope(
            QgsExpressionContextUtils.projectScope(context.project()))
        exp_context.appendScope(t_troncon.createExpressionContextScope())

        exp_str = '"id_geom_troncon" IS NOT NULL'
        exp = QgsExpression(exp_str)

        exp.prepare(exp_context)
        if exp.hasEvalError():
            raise QgsProcessingException(
                tr('* ERROR: Expression %s has eval error: %s').format(
                    exp.expression(), exp.evalErrorString()))

        request = QgsFeatureRequest(exp, exp_context)
        request.setSubsetOfAttributes(
            ['id', 'aab', 'aad', 'aaf', 'abq', 'id_file', 'id_geom_troncon'],
            t_troncon.fields())
        has_geo_troncon = False
        troncons = {}
        file_ids = []
        for tro in t_troncon.getFeatures(request):
            troncons[tro['id']] = tro
            file_ids.append(tro['id_file'])
            has_geo_troncon = True

            # Stop the algorithm if cancel button has been clicked
            if feedback.isCanceled():
                return {self.OBSERVATIONS_CREATED: None}

        if not has_geo_troncon:
            raise QgsProcessingException(tr('* ERROR: No troncon geometries'))

        # Get observation ids
        exp_context = QgsExpressionContext()
        exp_context.appendScope(QgsExpressionContextUtils.globalScope())
        exp_context.appendScope(
            QgsExpressionContextUtils.projectScope(context.project()))
        exp_context.appendScope(t_obs.createExpressionContextScope())

        exp_str = ('"id_troncon" IN ({}) AND '
                   '"id_file" IN ({})').format(
                       ','.join([str(i) for i in troncons.keys()]),
                       ','.join([str(i) for i in file_ids]))
        exp = QgsExpression(exp_str)

        exp.prepare(exp_context)
        if exp.hasEvalError():
            raise QgsProcessingException(
                tr('* ERROR: Expression {} has eval error: {}').format(
                    exp.expression(), exp.evalErrorString()))

        obs_ids = []
        request = QgsFeatureRequest(exp, exp_context)
        for obs in t_obs.getFeatures(request):
            # Stop the algorithm if cancel button has been clicked
            if feedback.isCanceled():
                return {self.OBSERVATIONS_CREATED: None}

            troncon = troncons[obs['id_troncon']]

            # verifying ITV file
            if troncon['id_file'] != obs['id_file']:
                continue

            obs_ids.append(obs['id'])

        if not obs_ids:
            raise QgsProcessingException(
                tr('* ERROR: No observations to geolocalize found'))

        # Check observations already geolocalised on troncon
        exp_context = QgsExpressionContext()
        exp_context.appendScope(QgsExpressionContextUtils.globalScope())
        exp_context.appendScope(
            QgsExpressionContextUtils.projectScope(context.project()))
        exp_context.appendScope(QgsExpressionContextUtils.layerScope(g_obs))

        exp_str = '"id" IN ({})'.format(','.join([str(i) for i in obs_ids]))
        exp = QgsExpression(exp_str)

        exp.prepare(exp_context)
        if exp.hasEvalError():
            raise QgsProcessingException(
                tr('* ERROR: Expression {} has eval error: {}').format(
                    exp.expression(), exp.evalErrorString()))

        request = QgsFeatureRequest(exp, exp_context)
        geo_observations = []
        for obs in g_obs.getFeatures(request):
            geo_observations.append(obs['id'])

            # Stop the algorithm if cancel button has been clicked
            if feedback.isCanceled():
                return {self.OBSERVATIONS_CREATED: None}

        # build observation geometry based on table
        exp_context = QgsExpressionContext()
        exp_context.appendScope(QgsExpressionContextUtils.globalScope())
        exp_context.appendScope(
            QgsExpressionContextUtils.projectScope(context.project()))
        exp_context.appendScope(t_obs.createExpressionContextScope())

        exp_str = ('"id_troncon" IN ({}) AND '
                   '"id_file" IN ({})').format(
                       ','.join([str(i) for i in troncons.keys()]),
                       ','.join([str(i) for i in file_ids]))
        if geo_observations:
            exp_str += ' AND id NOT IN ({})'.format(','.join(
                [str(i) for i in geo_observations]))
        exp = QgsExpression(exp_str)

        exp.prepare(exp_context)
        if exp.hasEvalError():
            raise QgsProcessingException(
                tr('* ERROR: Expression {} has eval error: {}').format(
                    exp.expression(), exp.evalErrorString()))

        request = QgsFeatureRequest(exp, exp_context)
        features = []
        fields = provider_fields(g_obs.fields())
        for obs in t_obs.getFeatures(request):
            # Stop the algorithm if cancel button has been clicked
            if feedback.isCanceled():
                return {self.OBSERVATIONS_CREATED: None}

            troncon = troncons[obs['id_troncon']]

            # verifying ITV file
            if troncon['id_file'] != obs['id_file']:
                continue

            geo_req = QgsFeatureRequest()
            geo_req.setFilterFid(troncon['id_geom_troncon'])
            for g_tro in g_troncon.getFeatures(geo_req):
                # Stop the algorithm if cancel button has been clicked
                if feedback.isCanceled():
                    return {self.OBSERVATIONS_CREATED: None}

                geom = g_tro.geometry()
                pt = None
                if troncon['aab'] == troncon['aad']:
                    pt = geom.interpolate(geom.length() * obs['i'] /
                                          troncon['abq'])
                else:
                    pt = geom.interpolate(geom.length() *
                                          (1 - obs['i'] / troncon['abq']))
                fet = QgsFeature(fields)
                fet.setGeometry(pt)
                fet.setAttribute('id', obs['id'])
                features.append(fet)

        # Ajout des objets observations
        if features:
            g_obs.startEditing()
            (res, outFeats) = g_obs.dataProvider().addFeatures(features)
            if not res or not outFeats:
                raise QgsProcessingException(
                    tr('* ERREUR: lors de l\'enregistrement '
                       'des regards {}').format(', '.join(
                           g_obs.dataProvider().errors())))
            if not g_obs.commitChanges():
                raise QgsProcessingException(
                    tr('* ERROR: Commit {}.').format(g_obs.commitErrors()))

        # Returns empty dict if no outputs
        return {self.OBSERVATIONS_CREATED: len(features)}
Beispiel #21
0
    def processAlgorithm(self, progress):
        layer = dataobjects.getObjectFromUri(
            self.getParameterValue(self.INPUT_LAYER))
        fieldName = self.getParameterValue(self.FIELD_NAME)
        fieldType = self.TYPES[self.getParameterValue(self.FIELD_TYPE)]
        width = self.getParameterValue(self.FIELD_LENGTH)
        precision = self.getParameterValue(self.FIELD_PRECISION)
        newField = self.getParameterValue(self.NEW_FIELD)
        formula = self.getParameterValue(self.FORMULA)

        output = self.getOutputFromName(self.OUTPUT_LAYER)

        if output.value == '':
            ext = output.getDefaultFileExtension(self)
            output.value = system.getTempFilenameInTempFolder(output.name +
                                                              '.' + ext)

        provider = layer.dataProvider()
        fields = layer.pendingFields()
        if newField:
            fields.append(QgsField(fieldName, fieldType, '', width, precision))

        writer = output.getVectorWriter(fields, provider.geometryType(),
                                        layer.crs())

        exp = QgsExpression(formula)

        da = QgsDistanceArea()
        da.setSourceCrs(layer.crs().srsid())
        da.setEllipsoidalMode(
            iface.mapCanvas().mapSettings().hasCrsTransformEnabled())
        da.setEllipsoid(QgsProject.instance().readEntry(
            'Measure', '/Ellipsoid', GEO_NONE)[0])
        exp.setGeomCalculator(da)

        if not exp.prepare(layer.pendingFields()):
            raise GeoAlgorithmExecutionException(
                self.tr('Evaluation error: %s' % exp.evalErrorString()))

        outFeature = QgsFeature()
        outFeature.initAttributes(len(fields))
        outFeature.setFields(fields)

        error = ''
        calculationSuccess = True

        current = 0
        features = vector.features(layer)
        total = 100.0 / len(features)

        rownum = 1
        for current, f in enumerate(features):
            rownum = current + 1
            exp.setCurrentRowNumber(rownum)
            value = exp.evaluate(f)
            if exp.hasEvalError():
                calculationSuccess = False
                error = exp.evalErrorString()
                break
            else:
                outFeature.setGeometry(f.geometry())
                for fld in f.fields():
                    outFeature[fld.name()] = f[fld.name()]
                outFeature[fieldName] = value
                writer.addFeature(outFeature)

            progress.setPercentage(int(current * total))
        del writer

        if not calculationSuccess:
            raise GeoAlgorithmExecutionException(
                self.tr('An error occured while evaluating the calculation '
                        'string:\n%s' % error))
Beispiel #22
0
    def processAlgorithm(self, progress):
        layer = dataobjects.getObjectFromUri(self.getParameterValue(self.INPUT_LAYER))
        fieldName = self.getParameterValue(self.FIELD_NAME)
        fieldType = self.TYPES[self.getParameterValue(self.FIELD_TYPE)]
        width = self.getParameterValue(self.FIELD_LENGTH)
        precision = self.getParameterValue(self.FIELD_PRECISION)
        newField = self.getParameterValue(self.NEW_FIELD)
        formula = self.getParameterValue(self.FORMULA)

        output = self.getOutputFromName(self.OUTPUT_LAYER)

        fields = layer.fields()
        if newField:
            fields.append(QgsField(fieldName, fieldType, '', width, precision))

        writer = output.getVectorWriter(fields, layer.wkbType(),
                                        layer.crs())

        exp = QgsExpression(formula)

        da = QgsDistanceArea()
        da.setSourceCrs(layer.crs().srsid())
        da.setEllipsoidalMode(
            iface.mapCanvas().mapSettings().hasCrsTransformEnabled())
        da.setEllipsoid(QgsProject.instance().readEntry(
            'Measure', '/Ellipsoid', GEO_NONE)[0])
        exp.setGeomCalculator(da)
        exp.setDistanceUnits(QgsProject.instance().distanceUnits())
        exp.setAreaUnits(QgsProject.instance().areaUnits())

        exp_context = QgsExpressionContext()
        exp_context.appendScope(QgsExpressionContextUtils.globalScope())
        exp_context.appendScope(QgsExpressionContextUtils.projectScope())
        exp_context.appendScope(QgsExpressionContextUtils.layerScope(layer))

        if not exp.prepare(exp_context):
            raise GeoAlgorithmExecutionException(
                self.tr('Evaluation error: %s' % exp.evalErrorString()))

        outFeature = QgsFeature()
        outFeature.initAttributes(len(fields))
        outFeature.setFields(fields)

        error = ''
        calculationSuccess = True

        features = vector.features(layer)
        total = 100.0 / len(features)

        rownum = 1
        for current, f in enumerate(features):
            rownum = current + 1
            exp_context.setFeature(f)
            exp_context.lastScope().setVariable("row_number", rownum)
            value = exp.evaluate(exp_context)
            if exp.hasEvalError():
                calculationSuccess = False
                error = exp.evalErrorString()
                break
            else:
                outFeature.setGeometry(f.geometry())
                for fld in f.fields():
                    outFeature[fld.name()] = f[fld.name()]
                outFeature[fieldName] = value
                writer.addFeature(outFeature)

            progress.setPercentage(int(current * total))
        del writer

        if not calculationSuccess:
            raise GeoAlgorithmExecutionException(
                self.tr('An error occurred while evaluating the calculation '
                        'string:\n%s' % error))
Beispiel #23
0
    def processAlgorithm(self, progress):
        layer = self.getParameterValue(self.INPUT_LAYER)
        mapping = self.getParameterValue(self.FIELDS_MAPPING)
        output = self.getOutputFromName(self.OUTPUT_LAYER)

        layer = dataobjects.getObjectFromUri(layer)
        provider = layer.dataProvider()
        fields = []
        expressions = []
        for field_def in mapping:
            fields.append(QgsField(name=field_def['name'],
                                   type=field_def['type'],
                                   len=field_def['length'],
                                   prec=field_def['precision']))

            expression = QgsExpression(field_def['expression'])
            if expression.hasParserError():
                raise GeoAlgorithmExecutionException(
                    self.tr(u'Parser error in expression "{}": {}')
                    .format(unicode(field_def['expression']),
                            unicode(expression.parserErrorString())))
            expression.prepare(provider.fields())
            if expression.hasEvalError():
                raise GeoAlgorithmExecutionException(
                    self.tr(u'Evaluation error in expression "{}": {}')
                    .format(unicode(field_def['expression']),
                            unicode(expression.evalErrorString())))
            expressions.append(expression)

        writer = output.getVectorWriter(fields,
                                        provider.geometryType(),
                                        layer.crs())

        # Create output vector layer with new attributes
        error = ''
        calculationSuccess = True
        inFeat = QgsFeature()
        outFeat = QgsFeature()
        features = vector.features(layer)
        count = len(features)
        for current, inFeat in enumerate(features):
            rownum = current + 1

            outFeat.setGeometry(inFeat.geometry())

            attrs = []
            for i in xrange(0, len(mapping)):
                field_def = mapping[i]
                expression = expressions[i]
                expression.setCurrentRowNumber(rownum)
                value = expression.evaluate(inFeat)
                if expression.hasEvalError():
                    calculationSuccess = False
                    error = expression.evalErrorString()
                    break

                attrs.append(value)
            outFeat.setAttributes(attrs)

            writer.addFeature(outFeat)

            current += 1
            progress.setPercentage(100 * current / float(count))

        del writer

        if not calculationSuccess:
            raise GeoAlgorithmExecutionException(
                self.tr('An error occurred while evaluating the calculation'
                        ' string:\n') + error)
Beispiel #24
0
    def processAlgorithm(self, progress):
        layer = dataobjects.getObjectFromUri(
            self.getParameterValue(self.INPUT_LAYER))
        fieldName = self.getParameterValue(self.FIELD_NAME)
        fieldType = self.TYPES[self.getParameterValue(self.FIELD_TYPE)]
        width = self.getParameterValue(self.FIELD_LENGTH)
        precision = self.getParameterValue(self.FIELD_PRECISION)
        newField = self.getParameterValue(self.NEW_FIELD)
        formula = self.getParameterValue(self.FORMULA)

        output = self.getOutputFromName(self.OUTPUT_LAYER)

        if output.value == '':
            ext = output.getDefaultFileExtension(self)
            output.value = system.getTempFilenameInTempFolder(output.name +
                                                              '.' + ext)

        fields = layer.fields()
        if newField:
            fields.append(QgsField(fieldName, fieldType, '', width, precision))

        writer = output.getVectorWriter(fields, layer.wkbType(), layer.crs())

        exp = QgsExpression(formula)

        da = QgsDistanceArea()
        da.setSourceCrs(layer.crs().srsid())
        da.setEllipsoidalMode(
            iface.mapCanvas().mapSettings().hasCrsTransformEnabled())
        da.setEllipsoid(QgsProject.instance().readEntry(
            'Measure', '/Ellipsoid', GEO_NONE)[0])
        exp.setGeomCalculator(da)
        exp.setDistanceUnits(QgsProject.instance().distanceUnits())
        exp.setAreaUnits(QgsProject.instance().areaUnits())

        exp_context = QgsExpressionContext()
        exp_context.appendScope(QgsExpressionContextUtils.globalScope())
        exp_context.appendScope(QgsExpressionContextUtils.projectScope())
        exp_context.appendScope(QgsExpressionContextUtils.layerScope(layer))

        if not exp.prepare(exp_context):
            raise GeoAlgorithmExecutionException(
                self.tr('Evaluation error: %s' % exp.evalErrorString()))

        # add layer to registry to fix https://issues.qgis.org/issues/17300
        # it is necessary only for aggregate expressions that verify that layer
        # is registered
        removeRegistryAfterEvaluation = False
        if not QgsMapLayerRegistry.instance().mapLayer(layer.id()):
            removeRegistryAfterEvaluation = True
            QgsMapLayerRegistry.instance().addMapLayer(layer,
                                                       addToLegend=False)

        outFeature = QgsFeature()
        outFeature.initAttributes(len(fields))
        outFeature.setFields(fields)

        error = ''
        calculationSuccess = True

        features = vector.features(layer)
        total = 100.0 / len(features) if len(features) > 0 else 1

        rownum = 1
        for current, f in enumerate(features):
            rownum = current + 1
            exp_context.setFeature(f)
            exp_context.lastScope().setVariable("row_number", rownum)
            value = exp.evaluate(exp_context)
            if exp.hasEvalError():
                calculationSuccess = False
                error = exp.evalErrorString()
                break
            else:
                outFeature.setGeometry(f.geometry())
                for fld in f.fields():
                    outFeature[fld.name()] = f[fld.name()]
                outFeature[fieldName] = value
                writer.addFeature(outFeature)

            progress.setPercentage(int(current * total))
        del writer

        # remove from registry if added for expression requirement
        # see above comment about fix #17300
        if removeRegistryAfterEvaluation:
            QgsMapLayerRegistry.instance().removeMapLayer(layer)

        if not calculationSuccess:
            raise GeoAlgorithmExecutionException(
                self.tr('An error occurred while evaluating the calculation '
                        'string:\n%s' % error))
Beispiel #25
0
    def processAlgorithm(self, feedback):
        layer = dataobjects.getObjectFromUri(self.getParameterValue(self.INPUT_LAYER))
        fieldName = self.getParameterValue(self.FIELD_NAME)
        fieldType = self.TYPES[self.getParameterValue(self.FIELD_TYPE)]
        width = self.getParameterValue(self.FIELD_LENGTH)
        precision = self.getParameterValue(self.FIELD_PRECISION)
        newField = self.getParameterValue(self.NEW_FIELD)
        formula = self.getParameterValue(self.FORMULA)

        output = self.getOutputFromName(self.OUTPUT_LAYER)

        fields = layer.fields()
        if newField:
            fields.append(QgsField(fieldName, fieldType, '', width, precision))

        writer = output.getVectorWriter(fields, layer.wkbType(),
                                        layer.crs())

        exp = QgsExpression(formula)

        da = QgsDistanceArea()
        da.setSourceCrs(layer.crs())
        da.setEllipsoidalMode(True)
        da.setEllipsoid(QgsProject.instance().readEntry(
            'Measure', '/Ellipsoid', GEO_NONE)[0])
        exp.setGeomCalculator(da)
        exp.setDistanceUnits(QgsProject.instance().distanceUnits())
        exp.setAreaUnits(QgsProject.instance().areaUnits())

        exp_context = QgsExpressionContext(QgsExpressionContextUtils.globalProjectLayerScopes(layer))

        if not exp.prepare(exp_context):
            raise GeoAlgorithmExecutionException(
                self.tr('Evaluation error: %s' % exp.evalErrorString()))

        outFeature = QgsFeature()
        outFeature.initAttributes(len(fields))
        outFeature.setFields(fields)

        error = ''
        calculationSuccess = True

        features = vector.features(layer)
        total = 100.0 / len(features)

        rownum = 1
        for current, f in enumerate(features):
            rownum = current + 1
            exp_context.setFeature(f)
            exp_context.lastScope().setVariable("row_number", rownum)
            value = exp.evaluate(exp_context)
            if exp.hasEvalError():
                calculationSuccess = False
                error = exp.evalErrorString()
                break
            else:
                outFeature.setGeometry(f.geometry())
                for fld in f.fields():
                    outFeature[fld.name()] = f[fld.name()]
                outFeature[fieldName] = value
                writer.addFeature(outFeature)

            feedback.setProgress(int(current * total))
        del writer

        if not calculationSuccess:
            raise GeoAlgorithmExecutionException(
                self.tr('An error occurred while evaluating the calculation '
                        'string:\n%s' % error))
Beispiel #26
0
def print_layout(project, layout_name, feature_filter: str = None, scales=None, scale=None, **kwargs):
    """Generate a PDF for an atlas or a report.

    :param project: The QGIS project.
    :type project: QgsProject

    :param layout_name: Name of the layout of the atlas or report.
    :type layout_name: basestring

    :param feature_filter: QGIS Expression to use to select the feature.
    It can return many features, a multiple pages PDF will be returned.
    This is required to print atlas, not report
    :type feature_filter: basestring

    :param scale: A scale to force in the atlas context. Default to None.
    :type scale: int

    :param scales: A list of predefined list of scales to force in the atlas context.
    Default to None.
    :type scales: list

    :return: Path to the PDF.
    :rtype: basestring
    """
    canvas = QgsMapCanvas()
    bridge = QgsLayerTreeMapCanvasBridge(
        project.layerTreeRoot(),
        canvas
    )
    bridge.setCanvasLayers()
    manager = project.layoutManager()
    master_layout = manager.layoutByName(layout_name)
    settings = QgsLayoutExporter.PdfExportSettings()

    atlas = None
    atlas_layout = None
    report_layout = None


    if not master_layout:
        raise AtlasPrintException('Layout `{}` not found'.format(layout_name))

    if master_layout.layoutType() == QgsMasterLayoutInterface.PrintLayout:
        for _print_layout in manager.printLayouts():
            if _print_layout.name() == layout_name:
                atlas_layout = _print_layout
                break

        atlas = atlas_layout.atlas()
        if not atlas.enabled():
            raise AtlasPrintException('The layout is not enabled for an atlas')

        layer = atlas.coverageLayer()

        if feature_filter is None:
            raise AtlasPrintException('EXP_FILTER is mandatory to print an atlas layout')

        feature_filter = optimize_expression(layer, feature_filter)

        expression = QgsExpression(feature_filter)
        if expression.hasParserError():
            raise AtlasPrintException('Expression is invalid, parser error: {}'.format(expression.parserErrorString()))

        context = QgsExpressionContext()
        context.appendScope(QgsExpressionContextUtils.globalScope())
        context.appendScope(QgsExpressionContextUtils.projectScope(project))
        context.appendScope(QgsExpressionContextUtils.layoutScope(atlas_layout))
        context.appendScope(QgsExpressionContextUtils.atlasScope(atlas))
        context.appendScope(QgsExpressionContextUtils.layerScope(layer))
        expression.prepare(context)
        if expression.hasEvalError():
            raise AtlasPrintException('Expression is invalid, eval error: {}'.format(expression.evalErrorString()))

        atlas.setFilterFeatures(True)
        atlas.setFilterExpression(feature_filter)

        if scale:
            atlas_layout.referenceMap().setAtlasScalingMode(QgsLayoutItemMap.Fixed)
            atlas_layout.referenceMap().setScale(scale)

        if scales:
            atlas_layout.referenceMap().setAtlasScalingMode(QgsLayoutItemMap.Predefined)
            if Qgis.QGIS_VERSION_INT >= 30900:
                settings.predefinedMapScales = scales
            else:
                atlas_layout.reportContext().setPredefinedScales(scales)

        if not scales and atlas_layout.referenceMap().atlasScalingMode() == QgsLayoutItemMap.Predefined:
            if Qgis.QGIS_VERSION_INT >= 30900:
                use_project = project.useProjectScales()
                map_scales = project.mapScales()
            else:
                map_scales = project_scales(project)
                use_project = len(map_scales) == 0

            if not use_project or len(map_scales) == 0:
                logger.info(
                    'Map scales not found in project, fetching predefined map scales in global config'
                )
                map_scales = global_scales()

            if Qgis.QGIS_VERSION_INT >= 30900:
                settings.predefinedMapScales = map_scales
            else:
                atlas_layout.reportContext().setPredefinedScales(map_scales)

    elif master_layout.layoutType() == QgsMasterLayoutInterface.Report:
        report_layout = master_layout

    else:
        raise AtlasPrintException('The layout is not supported by the plugin')

    for key, value in kwargs.items():
        found = False
        if atlas_layout:
            item = atlas_layout.itemById(key.lower())
            if isinstance(item, QgsLayoutItemLabel):
                item.setText(value)
                found = True
        logger.info(
            'Additional parameters: {} found in layout {}, value {}'.format(key, found, value))

    export_path = os.path.join(
        tempfile.gettempdir(),
        '{}_{}.pdf'.format(layout_name, uuid4())
    )
    result, error = QgsLayoutExporter.exportToPdf(atlas or report_layout, export_path, settings)

    if result != QgsLayoutExporter.Success and not os.path.isfile(export_path):
        raise Exception('export not generated {} ({})'.format(export_path, error))

    return export_path
Beispiel #27
0
    def expressionBasedUpdate( self, layer, dictProperties, featureId, index=None, value=None ):
        """ Defines the logic of the expression-based update to be applied.
            This SLOT listens to featureAdded, geometryChanged, and attributeValueChanged SIGNALS.
        """
        # Check if AutoField is there, otherwise return
        fieldIndex = layer.fieldNameIndex( dictProperties['field'] )
        if fieldIndex == -1:
            self.msg.show(
                QApplication.translate( "EventManager", "[Error] Updating AutoField " ) + \
                dictProperties['field'] + \
                QApplication.translate( "EventManager", " in layer " ) + \
                layer.name() + QApplication.translate( "EventManager", " was NOT possible." ) + \
                QApplication.translate( "EventManager", " Perhaps you just removed it but haven't saved the changes yet?" ),
                'warning' )
            return

        event = ""
        result = None

        expression = QgsExpression( dictProperties['expression'] )
        if expression.hasParserError():
            self.msg.show( QApplication.translate( "EventManager", "[Error] (Parsing) " ) + \
                expression.parserErrorString(), 'critical' )
            result = NULL

        # Avoid infinite recursion (changing the same attribute value infinitely).
        if not index is None: # Filters out the featureAdded SIGNAL       
            if type( index ) == int: # Filters out the geometryChanged SIGNAL
                
                if index == fieldIndex: # This call comes from the same AutoField, so return
                    return
                
                if self.afm.isFieldAnAutoField( layer, layer.fields()[index].name() ): # Call from AutoField, don't listen
                    # This is to prevent corrupting the layerEditBuffer and being bitten by:
                    #   Fatal: ASSERT: "mChangedAttributeValues.isEmpty()" in file /tmp/buildd/qgis-2.14.2+20trusty/src/core/qgsvectorlayereditbuffer.cpp, line 585
                    return 
                
                #if type(value)==QPyNullVariant: 
                    # Vector layers with numeric field whose value for 1st feature is NULL
                    #   trigger an attributeValueChanged SIGNAL when start editing from the
                    #   attribute table window. We use this conditional to avoid such SIGNAL.
                    #   The ideal case is that such NULL valued SIGNAL shouldn't be emitted by QGIS.
                #    return  
                # While the previous block reduces the number of times attributeValueChanged
                #   is called from the attribute table, it leads to a QGIS bug:
                #   Fatal: ASSERT: "mChangedAttributeValues.isEmpty()" in file /tmp/buildd/qgis-2.14.2+20trusty/src/core/qgsvectorlayereditbuffer.cpp, line 585
                #   I prefer the attributeValueChanged to be called multiple 
                #   times (inefficient) than to open the possibility to a bug. 
                # As soon as QGIS bug #15272 is solved, the number of calls will be reduced!
                
                event = "attributeValueChanged"
            else:
                event = "geometryChanged"
        else:
            event = "featureAdded"
            
        feature = layer.getFeatures( QgsFeatureRequest( featureId ) ).next()
        
        if result is None:
            context = QgsExpressionContext()
            context.appendScope( QgsExpressionContextUtils.globalScope() )
            context.appendScope( QgsExpressionContextUtils.projectScope() )
            context.appendScope( QgsExpressionContextUtils.layerScope( layer ) )
            context.setFields( feature.fields() )
            context.setFeature( feature )

            if expression.needsGeometry():
                if self.iface:
                    # This block was borrowed from QGIS/python/plugins/processing/algs/qgis/FieldsCalculator.py 
                    da = QgsDistanceArea()
                    da.setSourceCrs( layer.crs().srsid() )
                    da.setEllipsoidalMode( self.iface.mapCanvas().mapSettings().hasCrsTransformEnabled() )
                    da.setEllipsoid( QgsProject.instance().readEntry( 'Measure', '/Ellipsoid', GEO_NONE )[0] )
                    expression.setGeomCalculator( da )
                    if QGis.QGIS_VERSION_INT >= 21400: # Methods added in QGIS 2.14
                        expression.setDistanceUnits( QgsProject.instance().distanceUnits() ) 
                        expression.setAreaUnits( QgsProject.instance().areaUnits() )
            
            expression.prepare( context )
            result = expression.evaluate( context )
            
            if expression.hasEvalError():
                self.msg.show( QApplication.translate( "EventManager", "[Error] (Evaluating) " ) + \
                    expression.evalErrorString(), 'critical' )
                result = NULL
        
        field = layer.fields()[fieldIndex]
        res = field.convertCompatible( result )
        # If result is None, res will be None, but even in that case, QGIS knows
        #   what to do with it while saving, it seems it's treated as NULL.
        

        # TODO when bug #15311 is fixed, this block should work better
        #if dictProperties['expression'] in self.listProviderExpressions: 
        #    # Save directly to provider
        #    layer.dataProvider().changeAttributeValues( { featureId : { fieldIndex : res } } )
        #else: # Save to layer
        #    layer.changeAttributeValue( featureId, fieldIndex, res )
         
        # Workaround 
        if event == 'featureAdded': # Save directly to the provider
            layer.dataProvider().changeAttributeValues( { featureId : { fieldIndex : res } } )
        else: # Save to layer
            layer.changeAttributeValue( featureId, fieldIndex, res )
        
        self.msg.show( "[Info] * AutoField's value updated to " + unicode(res) + \
            ", (" + layer.name() + "." + dictProperties['field'] + ") by " + event +".", 'info', True )
Beispiel #28
0
    def processAlgorithm(self, parameters, context, feedback):
        layer = QgsProcessingUtils.mapLayerFromString(self.getParameterValue(self.INPUT_LAYER), context)
        fieldName = self.getParameterValue(self.FIELD_NAME)
        fieldType = self.TYPES[self.getParameterValue(self.FIELD_TYPE)]
        width = self.getParameterValue(self.FIELD_LENGTH)
        precision = self.getParameterValue(self.FIELD_PRECISION)
        newField = self.getParameterValue(self.NEW_FIELD)
        formula = self.getParameterValue(self.FORMULA)

        output = self.getOutputFromName(self.OUTPUT_LAYER)

        fields = layer.fields()
        if newField:
            fields.append(QgsField(fieldName, fieldType, '', width, precision))

        writer = output.getVectorWriter(fields, layer.wkbType(), layer.crs(), context)

        exp = QgsExpression(formula)

        da = QgsDistanceArea()
        da.setSourceCrs(layer.crs())
        da.setEllipsoid(QgsProject.instance().ellipsoid())
        exp.setGeomCalculator(da)
        exp.setDistanceUnits(QgsProject.instance().distanceUnits())
        exp.setAreaUnits(QgsProject.instance().areaUnits())

        exp_context = QgsExpressionContext(QgsExpressionContextUtils.globalProjectLayerScopes(layer))

        if not exp.prepare(exp_context):
            raise GeoAlgorithmExecutionException(
                self.tr('Evaluation error: {0}').format(exp.evalErrorString()))

        outFeature = QgsFeature()
        outFeature.initAttributes(len(fields))
        outFeature.setFields(fields)

        error = ''
        calculationSuccess = True

        features = QgsProcessingUtils.getFeatures(layer, context)
        total = 100.0 / layer.featureCount() if layer.featureCount() else 0

        rownum = 1
        for current, f in enumerate(features):
            rownum = current + 1
            exp_context.setFeature(f)
            exp_context.lastScope().setVariable("row_number", rownum)
            value = exp.evaluate(exp_context)
            if exp.hasEvalError():
                calculationSuccess = False
                error = exp.evalErrorString()
                break
            else:
                outFeature.setGeometry(f.geometry())
                for fld in f.fields():
                    outFeature[fld.name()] = f[fld.name()]
                outFeature[fieldName] = value
                writer.addFeature(outFeature, QgsFeatureSink.FastInsert)

            feedback.setProgress(int(current * total))
        del writer

        if not calculationSuccess:
            raise GeoAlgorithmExecutionException(
                self.tr('An error occurred while evaluating the calculation '
                        'string:\n{0}').format(error))
Beispiel #29
0
    def processAlgorithm(self, progress):
        layer = self.getParameterValue(self.INPUT_LAYER)
        mapping = self.getParameterValue(self.FIELDS_MAPPING)
        output = self.getOutputFromName(self.OUTPUT_LAYER)

        layer = dataobjects.getObjectFromUri(layer)
        fields = []
        expressions = []

        da = QgsDistanceArea()
        da.setSourceCrs(layer.crs().srsid())
        da.setEllipsoidalMode(
            iface.mapCanvas().mapSettings().hasCrsTransformEnabled())
        da.setEllipsoid(QgsProject.instance().readEntry(
            'Measure', '/Ellipsoid', GEO_NONE)[0])

        exp_context = QgsExpressionContext()
        exp_context.appendScope(QgsExpressionContextUtils.globalScope())
        exp_context.appendScope(QgsExpressionContextUtils.projectScope())
        exp_context.appendScope(QgsExpressionContextUtils.layerScope(layer))

        for field_def in mapping:
            fields.append(QgsField(name=field_def['name'],
                                   type=field_def['type'],
                                   len=field_def['length'],
                                   prec=field_def['precision']))

            expression = QgsExpression(field_def['expression'])
            expression.setGeomCalculator(da)
            expression.setDistanceUnits(QgsProject.instance().distanceUnits())
            expression.setAreaUnits(QgsProject.instance().areaUnits())

            if expression.hasParserError():
                raise GeoAlgorithmExecutionException(
                    self.tr(u'Parser error in expression "{}": {}')
                    .format(str(field_def['expression']),
                            str(expression.parserErrorString())))
            expression.prepare(exp_context)
            if expression.hasEvalError():
                raise GeoAlgorithmExecutionException(
                    self.tr(u'Evaluation error in expression "{}": {}')
                    .format(str(field_def['expression']),
                            str(expression.evalErrorString())))
            expressions.append(expression)

        writer = output.getVectorWriter(fields,
                                        layer.wkbType(),
                                        layer.crs())

        # Create output vector layer with new attributes
        error = ''
        calculationSuccess = True
        inFeat = QgsFeature()
        outFeat = QgsFeature()
        features = vector.features(layer)
        total = 100.0 / len(features)
        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():
                    calculationSuccess = False
                    error = expression.evalErrorString()
                    break

                attrs.append(value)
            outFeat.setAttributes(attrs)

            writer.addFeature(outFeat)

            progress.setPercentage(int(current * total))

        del writer

        if not calculationSuccess:
            raise GeoAlgorithmExecutionException(
                self.tr('An error occurred while evaluating the calculation'
                        ' string:\n') + error)
    def processAlgorithm(self, progress):
        layer = dataobjects.getObjectFromUri(self.getParameterValue(self.INPUT_LAYER))
        fieldName = self.getParameterValue(self.FIELD_NAME)
        fieldType = self.TYPES[self.getParameterValue(self.FIELD_TYPE)]
        width = self.getParameterValue(self.FIELD_LENGTH)
        precision = self.getParameterValue(self.FIELD_PRECISION)
        newField = self.getParameterValue(self.NEW_FIELD)
        formula = self.getParameterValue(self.FORMULA)

        output = self.getOutputFromName(self.OUTPUT_LAYER)

        if output.value == '':
            ext = output.getDefaultFileExtension(self)
            output.value = system.getTempFilenameInTempFolder(
                output.name + '.' + ext)

        fields = layer.fields()
        if newField:
            fields.append(QgsField(fieldName, fieldType, '', width, precision))

        writer = output.getVectorWriter(fields, layer.wkbType(),
                                        layer.crs())

        exp = QgsExpression(formula)

        da = QgsDistanceArea()
        da.setSourceCrs(layer.crs().srsid())
        da.setEllipsoidalMode(
            iface.mapCanvas().mapSettings().hasCrsTransformEnabled())
        da.setEllipsoid(QgsProject.instance().readEntry(
            'Measure', '/Ellipsoid', GEO_NONE)[0])
        exp.setGeomCalculator(da)
        exp.setDistanceUnits(QgsProject.instance().distanceUnits())
        exp.setAreaUnits(QgsProject.instance().areaUnits())

        exp_context = QgsExpressionContext()
        exp_context.appendScope(QgsExpressionContextUtils.globalScope())
        exp_context.appendScope(QgsExpressionContextUtils.projectScope())
        exp_context.appendScope(QgsExpressionContextUtils.layerScope(layer))

        if not exp.prepare(exp_context):
            raise GeoAlgorithmExecutionException(
                self.tr('Evaluation error: %s' % exp.evalErrorString()))

        # add layer to registry to fix https://issues.qgis.org/issues/17300
        # it is necessary only for aggregate expressions that verify that layer
        # is registered
        removeRegistryAfterEvaluation = False
        if not QgsMapLayerRegistry.instance().mapLayer(layer.id()):
            removeRegistryAfterEvaluation = True
            QgsMapLayerRegistry.instance().addMapLayer(layer, addToLegend=False)

        outFeature = QgsFeature()
        outFeature.initAttributes(len(fields))
        outFeature.setFields(fields)

        error = ''
        calculationSuccess = True

        features = vector.features(layer)
        total = 100.0 / len(features) if len(features) > 0 else 1

        rownum = 1
        for current, f in enumerate(features):
            rownum = current + 1
            exp_context.setFeature(f)
            exp_context.lastScope().setVariable("row_number", rownum)
            value = exp.evaluate(exp_context)
            if exp.hasEvalError():
                calculationSuccess = False
                error = exp.evalErrorString()
                break
            else:
                outFeature.setGeometry(f.geometry())
                for fld in f.fields():
                    outFeature[fld.name()] = f[fld.name()]
                outFeature[fieldName] = value
                writer.addFeature(outFeature)

            progress.setPercentage(int(current * total))
        del writer

        # remove from registry if added for expression requirement
        # see above comment about fix #17300
        if removeRegistryAfterEvaluation:
            QgsMapLayerRegistry.instance().removeMapLayer(layer)

        if not calculationSuccess:
            raise GeoAlgorithmExecutionException(
                self.tr('An error occurred while evaluating the calculation '
                        'string:\n%s' % error))
Beispiel #31
0
    def processAlgorithm(self, parameters, context, feedback):
        source = self.parameterAsSource(parameters, self.INPUT, context)
        if source is None:
            raise QgsProcessingException(self.invalidSourceError(parameters, self.INPUT))

        layer = self.parameterAsVectorLayer(parameters, self.INPUT, context)
        field_name = self.parameterAsString(parameters, self.FIELD_NAME, context)
        field_type = self.TYPES[self.parameterAsEnum(parameters, self.FIELD_TYPE, context)]
        width = self.parameterAsInt(parameters, self.FIELD_LENGTH, context)
        precision = self.parameterAsInt(parameters, self.FIELD_PRECISION, context)
        new_field = self.parameterAsBool(parameters, self.NEW_FIELD, context)
        formula = self.parameterAsString(parameters, self.FORMULA, context)

        expression = QgsExpression(formula)
        da = QgsDistanceArea()
        da.setSourceCrs(source.sourceCrs(), context.transformContext())
        da.setEllipsoid(context.project().ellipsoid())
        expression.setGeomCalculator(da)

        expression.setDistanceUnits(context.project().distanceUnits())
        expression.setAreaUnits(context.project().areaUnits())

        fields = source.fields()
        field_index = fields.lookupField(field_name)
        if new_field or field_index < 0:
            fields.append(QgsField(field_name, field_type, '', width, precision))

        (sink, dest_id) = self.parameterAsSink(parameters, self.OUTPUT, context,
                                               fields, source.wkbType(), source.sourceCrs())
        if sink is None:
            raise QgsProcessingException(self.invalidSinkError(parameters, self.OUTPUT))

        exp_context = self.createExpressionContext(parameters, context)
        if layer is not None:
            exp_context.appendScope(QgsExpressionContextUtils.layerScope(layer))

        expression.prepare(exp_context)

        features = source.getFeatures()
        total = 100.0 / source.featureCount() if source.featureCount() else 0

        for current, f in enumerate(features):
            if feedback.isCanceled():
                break

            rownum = current + 1
            exp_context.setFeature(f)
            exp_context.lastScope().setVariable("row_number", rownum)
            value = expression.evaluate(exp_context)
            if expression.hasEvalError():
                feedback.reportError(expression.evalErrorString())
            else:
                attrs = f.attributes()
                if new_field or field_index < 0:
                    attrs.append(value)
                else:
                    attrs[field_index] = value
                f.setAttributes(attrs)
                sink.addFeature(f, QgsFeatureSink.FastInsert)
            feedback.setProgress(int(current * total))

        return {self.OUTPUT: dest_id}
    def processAlgorithm(self, parameters, context, feedback):
        source = self.parameterAsSource(parameters, self.INPUT, context)
        if source is None:
            raise QgsProcessingException(self.invalidSourceError(parameters, self.INPUT))

        strategy = self.parameterAsEnum(parameters, self.STRATEGY, context)
        if self.MIN_DISTANCE in parameters and parameters[self.MIN_DISTANCE] is not None:
            minDistance = self.parameterAsDouble(parameters, self.MIN_DISTANCE, context)
        else:
            minDistance = None

        expressionContext = self.createExpressionContext(parameters, context, source)
        dynamic_value = QgsProcessingParameters.isDynamic(parameters, "VALUE")
        value_property = None
        if self.EXPRESSION in parameters and parameters[self.EXPRESSION] is not None:
            expression = QgsExpression(self.parameterAsString(parameters, self.EXPRESSION, context))
            value = None
            if expression.hasParserError():
                raise QgsProcessingException(expression.parserErrorString())
            expression.prepare(expressionContext)
        else:
            expression = None
            if dynamic_value:
                value_property = parameters["VALUE"]
            value = self.parameterAsDouble(parameters, self.VALUE, context)

        fields = QgsFields()
        fields.append(QgsField('id', QVariant.Int, '', 10, 0))

        (sink, dest_id) = self.parameterAsSink(parameters, self.OUTPUT, context,
                                               fields, QgsWkbTypes.Point, source.sourceCrs(),
                                               QgsFeatureSink.RegeneratePrimaryKey)
        if sink is None:
            raise QgsProcessingException(self.invalidSinkError(parameters, self.OUTPUT))

        da = QgsDistanceArea()
        da.setSourceCrs(source.sourceCrs(), context.transformContext())
        da.setEllipsoid(context.ellipsoid())

        total = 100.0 / source.featureCount() if source.featureCount() else 0
        current_progress = 0
        pointId = 0
        for current, f in enumerate(source.getFeatures()):
            if feedback.isCanceled():
                break

            if not f.hasGeometry():
                continue

            current_progress = total * current
            feedback.setProgress(current_progress)

            this_value = value
            if value_property is not None or expression is not None:
                expressionContext.setFeature(f)
                if value_property:
                    this_value, _ = value_property.valueAsDouble(expressionContext, value)
                else:
                    this_value = expression.evaluate(expressionContext)
                    if expression.hasEvalError():
                        feedback.pushInfo(
                            self.tr('Evaluation error for feature ID {}: {}').format(f.id(), expression.evalErrorString()))
                        continue

            fGeom = f.geometry()
            engine = QgsGeometry.createGeometryEngine(fGeom.constGet())
            engine.prepareGeometry()

            bbox = fGeom.boundingBox()
            if strategy == 0:
                pointCount = int(this_value)
            else:
                pointCount = int(round(this_value * da.measureArea(fGeom)))

            if pointCount == 0:
                feedback.pushInfo("Skip feature {} as number of points for it is 0.".format(f.id()))
                continue

            index = None
            if minDistance:
                index = QgsSpatialIndex()
            points = {}

            nPoints = 0
            nIterations = 0
            maxIterations = pointCount * 200
            feature_total = total / pointCount if pointCount else 1

            random.seed()

            while nIterations < maxIterations and nPoints < pointCount:
                if feedback.isCanceled():
                    break

                rx = bbox.xMinimum() + bbox.width() * random.random()
                ry = bbox.yMinimum() + bbox.height() * random.random()

                p = QgsPointXY(rx, ry)
                geom = QgsGeometry.fromPointXY(p)
                if engine.contains(geom.constGet()) and \
                        (not minDistance or vector.checkMinDistance(p, index, minDistance, points)):
                    f = QgsFeature(nPoints)
                    f.initAttributes(1)
                    f.setFields(fields)
                    f.setAttribute('id', pointId)
                    f.setGeometry(geom)
                    sink.addFeature(f, QgsFeatureSink.FastInsert)
                    if minDistance:
                        index.addFeature(f)
                    points[nPoints] = p
                    nPoints += 1
                    pointId += 1
                    feedback.setProgress(current_progress + int(nPoints * feature_total))
                nIterations += 1

            if nPoints < pointCount:
                feedback.pushInfo(self.tr('Could not generate requested number of random '
                                          'points. Maximum number of attempts exceeded.'))

        feedback.setProgress(100)

        return {self.OUTPUT: dest_id}
Beispiel #33
0
    def processAlgorithm(self, parameters, context, feedback):
        source = self.parameterAsSource(parameters, self.INPUT, context)
        strategy = self.parameterAsEnum(parameters, self.STRATEGY, context)
        minDistance = self.parameterAsDouble(parameters, self.MIN_DISTANCE, context)

        expression = QgsExpression(self.parameterAsString(parameters, self.EXPRESSION, context))
        if expression.hasParserError():
            raise ProcessingException(expression.parserErrorString())

        expressionContext = self.createExpressionContext(parameters, context)
        if not expression.prepare(expressionContext):
            raise ProcessingException(
                self.tr('Evaluation error: {0}').format(expression.evalErrorString()))

        fields = QgsFields()
        fields.append(QgsField('id', QVariant.Int, '', 10, 0))

        (sink, dest_id) = self.parameterAsSink(parameters, self.OUTPUT, context,
                                               fields, QgsWkbTypes.Point, source.sourceCrs())

        da = QgsDistanceArea()
        da.setSourceCrs(source.sourceCrs())
        da.setEllipsoid(context.project().ellipsoid())

        total = 100.0 / source.featureCount() if source.featureCount() else 0
        for current, f in enumerate(source.getFeatures()):
            if feedback.isCanceled():
                break

            expressionContext.setFeature(f)
            value = expression.evaluate(expressionContext)
            if expression.hasEvalError():
                feedback.pushInfo(
                    self.tr('Evaluation error for feature ID {}: {}').format(f.id(), expression.evalErrorString()))
                continue

            fGeom = f.geometry()
            bbox = fGeom.boundingBox()
            if strategy == 0:
                pointCount = int(value)
            else:
                pointCount = int(round(value * da.measureArea(fGeom)))

            if pointCount == 0:
                feedback.pushInfo("Skip feature {} as number of points for it is 0.")
                continue

            index = QgsSpatialIndex()
            points = dict()

            nPoints = 0
            nIterations = 0
            maxIterations = pointCount * 200
            total = 100.0 / pointCount if pointCount else 1

            random.seed()

            while nIterations < maxIterations and nPoints < pointCount:
                if feedback.isCanceled():
                    break

                rx = bbox.xMinimum() + bbox.width() * random.random()
                ry = bbox.yMinimum() + bbox.height() * random.random()

                p = QgsPointXY(rx, ry)
                geom = QgsGeometry.fromPoint(p)
                if geom.within(fGeom) and \
                        vector.checkMinDistance(p, index, minDistance, points):
                    f = QgsFeature(nPoints)
                    f.initAttributes(1)
                    f.setFields(fields)
                    f.setAttribute('id', nPoints)
                    f.setGeometry(geom)
                    sink.addFeature(f, QgsFeatureSink.FastInsert)
                    index.insertFeature(f)
                    points[nPoints] = p
                    nPoints += 1
                    feedback.setProgress(int(nPoints * total))
                nIterations += 1

            if nPoints < pointCount:
                feedback.pushInfo(self.tr('Could not generate requested number of random '
                                          'points. Maximum number of attempts exceeded.'))

            feedback.setProgress(0)

        return {self.OUTPUT: dest_id}
class GeometryByExpression(QgisFeatureBasedAlgorithm):

    OUTPUT_GEOMETRY = 'OUTPUT_GEOMETRY'
    WITH_Z = 'WITH_Z'
    WITH_M = 'WITH_M'
    EXPRESSION = 'EXPRESSION'

    def group(self):
        return self.tr('Vector geometry')

    def groupId(self):
        return 'vectorgeometry'

    def __init__(self):
        super().__init__()
        self.geometry_types = [self.tr('Polygon'),
                               'Line',
                               'Point']

    def initParameters(self, config=None):
        self.addParameter(QgsProcessingParameterEnum(
            self.OUTPUT_GEOMETRY,
            self.tr('Output geometry type'),
            options=self.geometry_types, defaultValue=0))
        self.addParameter(QgsProcessingParameterBoolean(self.WITH_Z,
                                                        self.tr('Output geometry has z dimension'), defaultValue=False))
        self.addParameter(QgsProcessingParameterBoolean(self.WITH_M,
                                                        self.tr('Output geometry has m values'), defaultValue=False))

        self.addParameter(QgsProcessingParameterExpression(self.EXPRESSION,
                                                           self.tr("Geometry expression"), defaultValue='$geometry', parentLayerParameterName='INPUT'))

    def name(self):
        return 'geometrybyexpression'

    def displayName(self):
        return self.tr('Geometry by expression')

    def outputName(self):
        return self.tr('Modified geometry')

    def prepareAlgorithm(self, parameters, context, feedback):
        self.geometry_type = self.parameterAsEnum(parameters, self.OUTPUT_GEOMETRY, context)
        self.wkb_type = None
        if self.geometry_type == 0:
            self.wkb_type = QgsWkbTypes.Polygon
        elif self.geometry_type == 1:
            self.wkb_type = QgsWkbTypes.LineString
        else:
            self.wkb_type = QgsWkbTypes.Point
        if self.parameterAsBool(parameters, self.WITH_Z, context):
            self.wkb_type = QgsWkbTypes.addZ(self.wkb_type)
        if self.parameterAsBool(parameters, self.WITH_M, context):
            self.wkb_type = QgsWkbTypes.addM(self.wkb_type)

        self.expression = QgsExpression(self.parameterAsString(parameters, self.EXPRESSION, context))
        if self.expression.hasParserError():
            feedback.reportError(self.expression.parserErrorString())
            return False

        self.expression_context = self.createExpressionContext(parameters, context)
        self.expression.prepare(self.expression_context)

        return True

    def outputWkbType(self, input_wkb_type):
        return self.wkb_type

    def inputLayerTypes(self):
        return [QgsProcessing.TypeVector]

    def sourceFlags(self):
        return QgsProcessingFeatureSource.FlagSkipGeometryValidityChecks

    def processFeature(self, feature, context, feedback):
        self.expression_context.setFeature(feature)
        value = self.expression.evaluate(self.expression_context)
        if self.expression.hasEvalError():
            raise QgsProcessingException(
                self.tr('Evaluation error: {0}').format(self.expression.evalErrorString()))

        if not value:
            feature.setGeometry(QgsGeometry())
        else:
            if not isinstance(value, QgsGeometry):
                raise QgsProcessingException(
                    self.tr('{} is not a geometry').format(value))
            feature.setGeometry(value)
        return [feature]
    def processAlgorithm(self, parameters, context, feedback):
        source = self.parameterAsSource(parameters, self.INPUT, context)
        if source is None:
            raise QgsProcessingException(self.invalidSourceError(parameters, self.INPUT))

        strategy = self.parameterAsEnum(parameters, self.STRATEGY, context)
        minDistance = self.parameterAsDouble(parameters, self.MIN_DISTANCE, context)

        expression = QgsExpression(self.parameterAsString(parameters, self.EXPRESSION, context))
        if expression.hasParserError():
            raise QgsProcessingException(expression.parserErrorString())

        expressionContext = self.createExpressionContext(parameters, context, source)
        expression.prepare(expressionContext)

        fields = QgsFields()
        fields.append(QgsField('id', QVariant.Int, '', 10, 0))

        (sink, dest_id) = self.parameterAsSink(parameters, self.OUTPUT, context,
                                               fields, QgsWkbTypes.Point, source.sourceCrs(), QgsFeatureSink.RegeneratePrimaryKey)
        if sink is None:
            raise QgsProcessingException(self.invalidSinkError(parameters, self.OUTPUT))

        da = QgsDistanceArea()
        da.setSourceCrs(source.sourceCrs(), context.transformContext())
        da.setEllipsoid(context.project().ellipsoid())

        total = 100.0 / source.featureCount() if source.featureCount() else 0
        current_progress = 0
        for current, f in enumerate(source.getFeatures()):
            if feedback.isCanceled():
                break

            if not f.hasGeometry():
                continue

            current_progress = total * current
            feedback.setProgress(current_progress)

            expressionContext.setFeature(f)
            value = expression.evaluate(expressionContext)
            if expression.hasEvalError():
                feedback.pushInfo(
                    self.tr('Evaluation error for feature ID {}: {}').format(f.id(), expression.evalErrorString()))
                continue

            fGeom = f.geometry()
            engine = QgsGeometry.createGeometryEngine(fGeom.constGet())
            engine.prepareGeometry()

            bbox = fGeom.boundingBox()
            if strategy == 0:
                pointCount = int(value)
            else:
                pointCount = int(round(value * da.measureArea(fGeom)))

            if pointCount == 0:
                feedback.pushInfo("Skip feature {} as number of points for it is 0.".format(f.id()))
                continue

            index = QgsSpatialIndex()
            points = dict()

            nPoints = 0
            nIterations = 0
            maxIterations = pointCount * 200
            feature_total = total / pointCount if pointCount else 1

            random.seed()

            while nIterations < maxIterations and nPoints < pointCount:
                if feedback.isCanceled():
                    break

                rx = bbox.xMinimum() + bbox.width() * random.random()
                ry = bbox.yMinimum() + bbox.height() * random.random()

                p = QgsPointXY(rx, ry)
                geom = QgsGeometry.fromPointXY(p)
                if engine.contains(geom.constGet()) and \
                        vector.checkMinDistance(p, index, minDistance, points):
                    f = QgsFeature(nPoints)
                    f.initAttributes(1)
                    f.setFields(fields)
                    f.setAttribute('id', nPoints)
                    f.setGeometry(geom)
                    sink.addFeature(f, QgsFeatureSink.FastInsert)
                    index.addFeature(f)
                    points[nPoints] = p
                    nPoints += 1
                    feedback.setProgress(current_progress + int(nPoints * feature_total))
                nIterations += 1

            if nPoints < pointCount:
                feedback.pushInfo(self.tr('Could not generate requested number of random '
                                          'points. Maximum number of attempts exceeded.'))

        feedback.setProgress(100)

        return {self.OUTPUT: dest_id}
    def processAlgorithm(self, parameters, context, feedback):
        source = self.parameterAsSource(parameters, self.INPUT, context)
        if source is None:
            raise QgsProcessingException(self.invalidSourceError(parameters, self.INPUT))

        layer = self.parameterAsVectorLayer(parameters, self.INPUT, context)
        field_name = self.parameterAsString(parameters, self.FIELD_NAME, context)
        field_type = self.TYPES[self.parameterAsEnum(parameters, self.FIELD_TYPE, context)]
        width = self.parameterAsInt(parameters, self.FIELD_LENGTH, context)
        precision = self.parameterAsInt(parameters, self.FIELD_PRECISION, context)
        new_field = self.parameterAsBool(parameters, self.NEW_FIELD, context)
        formula = self.parameterAsString(parameters, self.FORMULA, context)

        expression = QgsExpression(formula)
        da = QgsDistanceArea()
        da.setSourceCrs(source.sourceCrs(), context.transformContext())
        da.setEllipsoid(context.project().ellipsoid())
        expression.setGeomCalculator(da)

        expression.setDistanceUnits(context.project().distanceUnits())
        expression.setAreaUnits(context.project().areaUnits())

        field_index = layer.fields().lookupField(field_name)
        if new_field or field_index < 0:
            res = layer.dataProvider().addAttributes([QgsField(field_name, field_type, '', width, precision)])
            if not res:
                raise QgsProcessingException("The new field couldn't be created! We suggest you to create it using QGIS tools and then update its values with this algorithm.")

            layer.updateFields()
            field_index = layer.fields().lookupField(field_name)

        field = layer.fields()[field_index]

        exp_context = self.createExpressionContext(parameters, context)
        if layer is not None:
            exp_context.appendScope(QgsExpressionContextUtils.layerScope(layer))

        expression.prepare(exp_context)

        features = layer.getFeatures()
        total = 100.0 / layer.featureCount() if layer.featureCount() else 0

        dict_results = dict()

        for current, f in enumerate(features):
            if feedback.isCanceled():
                break

            rownum = current + 1
            exp_context.setFeature(f)
            exp_context.lastScope().setVariable("row_number", rownum)
            value = expression.evaluate(exp_context)
            if expression.hasEvalError():
                feedback.reportError(expression.evalErrorString())
            else:
                dict_results[f.id()] = {field_index: field.convertCompatible(value)}

            feedback.setProgress(int(current * total))

        layer.dataProvider().changeAttributeValues(dict_results)

        return {self.OUTPUT: layer}
Beispiel #37
0
class GeometryByExpression(QgisFeatureBasedAlgorithm):

    OUTPUT_GEOMETRY = 'OUTPUT_GEOMETRY'
    WITH_Z = 'WITH_Z'
    WITH_M = 'WITH_M'
    EXPRESSION = 'EXPRESSION'

    def group(self):
        return self.tr('Vector geometry')

    def groupId(self):
        return 'vectorgeometry'

    def __init__(self):
        super().__init__()
        self.geometry_types = [self.tr('Polygon'),
                               'Line',
                               'Point']

    def initParameters(self, config=None):
        self.addParameter(QgsProcessingParameterEnum(
            self.OUTPUT_GEOMETRY,
            self.tr('Output geometry type'),
            options=self.geometry_types, defaultValue=0))
        self.addParameter(QgsProcessingParameterBoolean(self.WITH_Z,
                                                        self.tr('Output geometry has z dimension'), defaultValue=False))
        self.addParameter(QgsProcessingParameterBoolean(self.WITH_M,
                                                        self.tr('Output geometry has m values'), defaultValue=False))

        self.addParameter(QgsProcessingParameterExpression(self.EXPRESSION,
                                                           self.tr("Geometry expression"), defaultValue='$geometry', parentLayerParameterName='INPUT'))

    def name(self):
        return 'geometrybyexpression'

    def displayName(self):
        return self.tr('Geometry by expression')

    def outputName(self):
        return self.tr('Modified geometry')

    def prepareAlgorithm(self, parameters, context, feedback):
        self.geometry_type = self.parameterAsEnum(parameters, self.OUTPUT_GEOMETRY, context)
        self.wkb_type = None
        if self.geometry_type == 0:
            self.wkb_type = QgsWkbTypes.Polygon
        elif self.geometry_type == 1:
            self.wkb_type = QgsWkbTypes.LineString
        else:
            self.wkb_type = QgsWkbTypes.Point
        if self.parameterAsBool(parameters, self.WITH_Z, context):
            self.wkb_type = QgsWkbTypes.addZ(self.wkb_type)
        if self.parameterAsBool(parameters, self.WITH_M, context):
            self.wkb_type = QgsWkbTypes.addM(self.wkb_type)

        self.expression = QgsExpression(self.parameterAsString(parameters, self.EXPRESSION, context))
        if self.expression.hasParserError():
            feedback.reportError(self.expression.parserErrorString())
            return False

        self.expression_context = self.createExpressionContext(parameters, context)
        self.expression.prepare(self.expression_context)

        return True

    def outputWkbType(self, input_wkb_type):
        return self.wkb_type

    def sourceFlags(self):
        return QgsProcessingFeatureSource.FlagSkipGeometryValidityChecks

    def processFeature(self, feature, context, feedback):
        self.expression_context.setFeature(feature)
        value = self.expression.evaluate(self.expression_context)
        if self.expression.hasEvalError():
            raise QgsProcessingException(
                self.tr('Evaluation error: {0}').format(self.expression.evalErrorString()))

        if not value:
            feature.setGeometry(QgsGeometry())
        else:
            if not isinstance(value, QgsGeometry):
                raise QgsProcessingException(
                    self.tr('{} is not a geometry').format(value))
            feature.setGeometry(value)
        return [feature]
Beispiel #38
0
 def testSuccessfulEvaluationReturnsNoEvalErrorString(self):
     exp = QgsExpression("True is False")  # the result does not matter
     self.assertEqual(exp.evalErrorString(), "")