QGIS/python/plugins/processing/algs/qgis/RasterCalculator.py
Nyall Dawson f84d703234 Add method QgsProcessingUtils::mapLayerFromString
Algorithms and other processing code should use this method
(instead of dataobjects.getLayerFromString) to
retrieve layers from a string, as it considers the processing
context and allows resolving strings to temporarily stored layers.

This permits processing models to function correctly when
intermediate results are stored as memory layers. Subsequent
model algorithms can then access these temporary layers as inputs.
All temporary layers will be removed when the context object
is destroyed after the model algorithm is run.
2017-05-02 12:33:04 +10:00

180 lines
7.9 KiB
Python

# -*- coding: utf-8 -*-
"""
***************************************************************************
RasterLayerCalculator.py
---------------------
Date : November 2016
Copyright : (C) 2016 by Victor Olaya
Email : volayaf at gmail dot com
***************************************************************************
* *
* This program is free software; you can redistribute it and/or modify *
* it under the terms of the GNU General Public License as published by *
* the Free Software Foundation; either version 2 of the License, or *
* (at your option) any later version. *
* *
***************************************************************************
"""
from processing.modeler.ModelerAlgorithm import ValueFromInput, ValueFromOutput
import os
__author__ = 'Victor Olaya'
__date__ = 'November 2016'
__copyright__ = '(C) 2016, Victor Olaya'
# This will get replaced with a git SHA1 when you do a git archive
__revision__ = '$Format:%H$'
import math
from processing.core.GeoAlgorithm import GeoAlgorithm
from processing.core.parameters import ParameterMultipleInput, ParameterExtent, ParameterString, ParameterRaster, ParameterNumber
from processing.core.outputs import OutputRaster
from processing.tools import dataobjects
from processing.algs.gdal.GdalUtils import GdalUtils
from qgis.core import (QgsApplication,
QgsRectangle,
QgsProcessingUtils,
QgsProject)
from qgis.analysis import QgsRasterCalculator, QgsRasterCalculatorEntry
from processing.core.GeoAlgorithmExecutionException import GeoAlgorithmExecutionException
from processing.algs.qgis.ui.RasterCalculatorWidgets import LayersListWidgetWrapper, ExpressionWidgetWrapper
class RasterCalculator(GeoAlgorithm):
LAYERS = 'LAYERS'
EXTENT = 'EXTENT'
CELLSIZE = 'CELLSIZE'
EXPRESSION = 'EXPRESSION'
OUTPUT = 'OUTPUT'
def icon(self):
return QgsApplication.getThemeIcon("/providerQgis.svg")
def svgIconPath(self):
return QgsApplication.iconPath("providerQgis.svg")
def group(self):
return self.tr('Raster')
def name(self):
return 'rastercalculator'
def displayName(self):
return self.tr('Raster calculator')
def defineCharacteristics(self):
self.addParameter(ParameterMultipleInput(self.LAYERS,
self.tr('Input layers'),
datatype=dataobjects.TYPE_RASTER,
optional=True,
metadata={'widget_wrapper': LayersListWidgetWrapper}))
class ParameterRasterCalculatorExpression(ParameterString):
def evaluateForModeler(self, value, model):
for i in list(model.inputs.values()):
param = i.param
if isinstance(param, ParameterRaster):
new = "{}@".format(os.path.basename(param.value))
old = "{}@".format(param.name)
value = value.replace(old, new)
for alg in list(model.algs.values()):
for out in alg.algorithm.outputs:
if isinstance(out, OutputRaster):
if out.value:
new = "{}@".format(os.path.basename(out.value))
old = "{}:{}@".format(alg.modeler_name, out.name)
value = value.replace(old, new)
return value
self.addParameter(ParameterRasterCalculatorExpression(self.EXPRESSION, self.tr('Expression'),
multiline=True,
metadata={'widget_wrapper': ExpressionWidgetWrapper}))
self.addParameter(ParameterNumber(self.CELLSIZE,
self.tr('Cell size (use 0 or empty to set it automatically)'),
minValue=0.0, default=0.0, optional=True))
self.addParameter(ParameterExtent(self.EXTENT,
self.tr('Output extent'),
optional=True))
self.addOutput(OutputRaster(self.OUTPUT, self.tr('Output')))
def processAlgorithm(self, context, feedback):
expression = self.getParameterValue(self.EXPRESSION)
layersValue = self.getParameterValue(self.LAYERS)
layersDict = {}
if layersValue:
layers = [dataobjects.QgsProcessingUtils.mapLayerFromString(f, context) for f in layersValue.split(";")]
layersDict = {os.path.basename(lyr.source().split(".")[0]): lyr for lyr in layers}
for lyr in QgsProcessingUtils.compatibleRasterLayers(QgsProject.instance()):
name = lyr.name()
if (name + "@") in expression:
layersDict[name] = lyr
entries = []
for name, lyr in layersDict.items():
for n in range(lyr.bandCount()):
entry = QgsRasterCalculatorEntry()
entry.ref = '{:s}@{:d}'.format(name, n + 1)
entry.raster = lyr
entry.bandNumber = n + 1
entries.append(entry)
output = self.getOutputValue(self.OUTPUT)
extentValue = self.getParameterValue(self.EXTENT)
if extentValue:
extent = extentValue.split(',')
bbox = QgsRectangle(float(extent[0]), float(extent[2]),
float(extent[1]), float(extent[3]))
else:
if layersDict:
bbox = list(layersDict.values())[0].extent()
for lyr in layersDict.values():
bbox.combineExtentWith(lyr.extent())
else:
raise GeoAlgorithmExecutionException(self.tr("No layers selected"))
def _cellsize(layer):
return (layer.extent().xMaximum() - layer.extent().xMinimum()) / layer.width()
cellsize = self.getParameterValue(self.CELLSIZE) or min([_cellsize(lyr) for lyr in layersDict.values()])
width = math.floor((bbox.xMaximum() - bbox.xMinimum()) / cellsize)
height = math.floor((bbox.yMaximum() - bbox.yMinimum()) / cellsize)
driverName = GdalUtils.getFormatShortNameFromFilename(output)
calc = QgsRasterCalculator(expression,
output,
driverName,
bbox,
width,
height,
entries)
res = calc.processCalculation()
if res == QgsRasterCalculator.ParserError:
raise GeoAlgorithmExecutionException(self.tr("Error parsing formula"))
def processBeforeAddingToModeler(self, algorithm, model):
values = []
expression = algorithm.params[self.EXPRESSION]
for i in list(model.inputs.values()):
param = i.param
if isinstance(param, ParameterRaster) and "{}@".format(param.name) in expression:
values.append(ValueFromInput(param.name))
if algorithm.name:
dependent = model.getDependentAlgorithms(algorithm.name)
else:
dependent = []
for alg in list(model.algs.values()):
if alg.modeler_name not in dependent:
for out in alg.algorithm.outputs:
if (isinstance(out, OutputRaster) and
"{}:{}@".format(alg.modeler_name, out.name) in expression):
values.append(ValueFromOutput(alg.modeler_name, out.name))
algorithm.params[self.LAYERS] = values