QGIS/python/plugins/processing/algs/qgis/RasterCalculator.py
2017-08-22 23:36:42 +10:00

190 lines
8.4 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. *
* *
***************************************************************************
"""
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.algs.qgis.QgisAlgorithm import QgisAlgorithm
from processing.algs.gdal.GdalUtils import GdalUtils
from qgis.core import (QgsProcessing,
QgsProcessingException,
QgsProcessingUtils,
QgsProcessingParameterMultipleLayers,
QgsProcessingParameterNumber,
QgsProcessingParameterExtent,
QgsProcessingParameterRasterDestination,
QgsProcessingParameterRasterLayer,
QgsProcessingOutputRasterLayer,
QgsProcessingParameterString)
from qgis.analysis import QgsRasterCalculator, QgsRasterCalculatorEntry
class RasterCalculator(QgisAlgorithm):
LAYERS = 'LAYERS'
EXTENT = 'EXTENT'
CELLSIZE = 'CELLSIZE'
EXPRESSION = 'EXPRESSION'
OUTPUT = 'OUTPUT'
def group(self):
return self.tr('Raster analysis')
def __init__(self):
super().__init__()
def initAlgorithm(self, config=None):
layer_param = QgsProcessingParameterMultipleLayers(self.LAYERS,
self.tr('Input layers'),
layerType=QgsProcessing.TypeRaster,
optional=True)
layer_param.setMetadata({'widget_wrapper': 'processing.algs.qgis.ui.RasterCalculatorWidgets.LayersListWidgetWrapper'})
self.addParameter(layer_param)
class ParameterRasterCalculatorExpression(QgsProcessingParameterString):
def __init__(self, name='', description='', multiLine=False):
super().__init__(name, description, multiLine=multiLine)
self.setMetadata({
'widget_wrapper': 'processing.algs.qgis.ui.RasterCalculatorWidgets.ExpressionWidgetWrapper'
})
def type(self):
return 'raster_calc_expression'
def clone(self):
return ParameterRasterCalculatorExpression(self.name(), self.description(), self.multiLine())
def evaluateForModeler(self, value, model):
for i in list(model.inputs.values()):
param = i.param
if isinstance(param, QgsProcessingParameterRasterLayer):
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, QgsProcessingOutputRasterLayer):
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))
self.addParameter(QgsProcessingParameterNumber(self.CELLSIZE,
self.tr('Cell size (use 0 or empty to set it automatically)'),
type=QgsProcessingParameterNumber.Double,
minValue=0.0, defaultValue=0.0, optional=True))
self.addParameter(QgsProcessingParameterExtent(self.EXTENT,
self.tr('Output extent'),
optional=True))
self.addParameter(QgsProcessingParameterRasterDestination(self.OUTPUT, self.tr('Output')))
def name(self):
return 'rastercalculator'
def displayName(self):
return self.tr('Raster calculator')
def processAlgorithm(self, parameters, context, feedback):
expression = self.parameterAsString(parameters, self.EXPRESSION, context)
layers = self.parameterAsLayerList(parameters, self.LAYERS, context)
layersDict = {}
if layers:
layersDict = {os.path.basename(lyr.source().split(".")[0]): lyr for lyr in layers}
for lyr in QgsProcessingUtils.compatibleRasterLayers(context.project()):
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.parameterAsOutputLayer(parameters, self.OUTPUT, context)
bbox = self.parameterAsExtent(parameters, self.EXTENT, context)
if bbox.isNull():
bbox = QgsProcessingUtils.combineLayerExtents(layers)
if bbox.isNull():
if layersDict:
bbox = list(layersDict.values())[0].extent()
for lyr in layersDict.values():
bbox.combineExtentWith(lyr.extent())
else:
raise QgsProcessingException(self.tr("No layers selected"))
def _cellsize(layer):
return (layer.extent().xMaximum() - layer.extent().xMinimum()) / layer.width()
cellsize = self.parameterAsDouble(parameters, self.CELLSIZE, context) 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 QgsProcessingException(self.tr("Error parsing formula"))
return {self.OUTPUT: output}
def processBeforeAddingToModeler(self, algorithm, model):
values = []
expression = algorithm.params[self.EXPRESSION]
for i in list(model.inputs.values()):
param = i.param
if isinstance(param, QgsProcessingParameterRasterLayer) 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, QgsProcessingOutputRasterLayer) and
"{}:{}@".format(alg.modeler_name, out.name) in expression):
values.append(ValueFromOutput(alg.modeler_name, out.name))
algorithm.params[self.LAYERS] = values