QGIS/python/plugins/processing/algs/gdal/GdalAlgorithm.py
Nyall Dawson 4c2983189f
When an OGR algorithm is run on a GRASS provider vector layer,
export the layer to an OGR compatible source first

Use the same logic we use eg for auto-exporting memory layers
so that GDAL tools "just work" with GRASS provider vector
layers
2024-07-09 09:53:52 +10:00

182 lines
8.2 KiB
Python

"""
***************************************************************************
GdalAlgorithm.py
---------------------
Date : August 2012
Copyright : (C) 2012 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. *
* *
***************************************************************************
"""
__author__ = 'Victor Olaya'
__date__ = 'August 2012'
__copyright__ = '(C) 2012, Victor Olaya'
import os
import re
from typing import Dict
from qgis.PyQt.QtCore import QUrl, QCoreApplication
from qgis.core import (QgsApplication,
QgsVectorFileWriter,
QgsProcessingFeatureSourceDefinition,
QgsProcessingAlgorithm,
QgsProcessingContext,
QgsProcessingFeedback,
QgsProviderRegistry,
QgsDataSourceUri)
from processing.algs.gdal.GdalAlgorithmDialog import GdalAlgorithmDialog
from processing.algs.gdal.GdalUtils import (
GdalUtils,
GdalConnectionDetails
)
pluginPath = os.path.normpath(os.path.join(
os.path.split(os.path.dirname(__file__))[0], os.pardir))
class GdalAlgorithm(QgsProcessingAlgorithm):
def __init__(self):
super().__init__()
self.output_values = {}
def icon(self):
return QgsApplication.getThemeIcon("/providerGdal.svg")
def tags(self):
return ['ogr', 'gdal', self.commandName()]
def svgIconPath(self):
return QgsApplication.iconPath("providerGdal.svg")
def createInstance(self, config={}):
return self.__class__()
def createCustomParametersWidget(self, parent):
return GdalAlgorithmDialog(self, parent=parent)
def getConsoleCommands(self, parameters, context, feedback, executing=True):
return None
def getOgrCompatibleSource(self,
parameter_name: str,
parameters: Dict,
context: QgsProcessingContext,
feedback: QgsProcessingFeedback,
executing: bool) -> GdalConnectionDetails:
"""
Interprets a parameter as a GDAL connection details
"""
if not executing and parameter_name in parameters and isinstance(parameters[parameter_name], QgsProcessingFeatureSourceDefinition):
# if not executing, then we throw away all 'selected features only' settings
# since these have no meaning for command line gdal use, and we don't want to force
# an export of selected features only to a temporary file just to show the command!
parameters = {parameter_name: parameters[parameter_name].source}
input_layer = self.parameterAsVectorLayer(parameters, parameter_name, context)
if input_layer is None or input_layer.providerType() in ('memory', 'grass'):
if executing:
# parameter is not a vector layer - try to convert to a source compatible with OGR
# and extract selection if required
ogr_data_path = self.parameterAsCompatibleSourceLayerPath(parameters, parameter_name, context,
QgsVectorFileWriter.supportedFormatExtensions(),
QgsVectorFileWriter.supportedFormatExtensions()[0],
feedback=feedback)
return GdalConnectionDetails(
connection_string=ogr_data_path,
layer_name=GdalUtils.ogrLayerName(ogr_data_path)
)
else:
# not executing - don't waste time converting incompatible sources, just return dummy strings
# for the command preview (since the source isn't compatible with OGR, it has no meaning anyway and can't
# be run directly in the command line)
return GdalConnectionDetails(
connection_string='path_to_data_file',
layer_name='layer_name'
)
elif input_layer.providerType() == 'ogr':
if executing and (isinstance(parameters[parameter_name], QgsProcessingFeatureSourceDefinition) and parameters[parameter_name].selectedFeaturesOnly) \
or input_layer.subsetString():
# parameter is a vector layer, with OGR data provider
# so extract selection if required
ogr_data_path = self.parameterAsCompatibleSourceLayerPath(parameters, parameter_name, context,
QgsVectorFileWriter.supportedFormatExtensions(),
feedback=feedback)
parts = QgsProviderRegistry.instance().decodeUri('ogr', ogr_data_path)
ogr_data_path = parts['path']
if 'layerName' in parts and parts['layerName']:
ogr_layer_name = parts['layerName']
else:
ogr_layer_name = GdalUtils.ogrLayerName(ogr_data_path)
return GdalConnectionDetails(
connection_string=ogr_data_path,
layer_name=ogr_layer_name,
open_options=parts.get('openOptions', None),
credential_options=parts.get('credentialOptions', None)
)
else:
# either not using the selection, or
# not executing - don't worry about 'selected features only' handling. It has no meaning
# for the command line preview since it has no meaning outside of a QGIS session!
connection_details = GdalUtils.gdal_connection_details_from_layer(input_layer)
connection_details.layer_name = GdalUtils.ogrLayerName(input_layer.source())
return connection_details
elif input_layer.providerType().lower() == 'wfs':
uri = QgsDataSourceUri(input_layer.source())
baseUrl = uri.param('url').split('?')[0]
return GdalConnectionDetails(
connection_string=f"WFS:{baseUrl}",
layer_name=uri.param('typename')
)
# vector layer, but not OGR - get OGR compatible path
# TODO - handle "selected features only" mode!!
connection_details = GdalUtils.gdal_connection_details_from_layer(input_layer)
connection_details.layer_name = GdalUtils.ogrLayerName(input_layer.source())
return connection_details
def setOutputValue(self, name, value):
self.output_values[name] = value
def processAlgorithm(self, parameters, context, feedback):
commands = self.getConsoleCommands(parameters, context, feedback, executing=True)
GdalUtils.runGdal(commands, feedback)
# auto generate outputs
results = {}
for o in self.outputDefinitions():
if o.name() in parameters:
results[o.name()] = parameters[o.name()]
for k, v in self.output_values.items():
results[k] = v
return results
def commandName(self):
parameters = {
param.name(): "1"
for param in self.parameterDefinitions()
}
context = QgsProcessingContext()
feedback = QgsProcessingFeedback()
name = self.getConsoleCommands(parameters, context, feedback, executing=False)[0]
if name.endswith(".py"):
name = name[:-3]
return name
def tr(self, string, context=''):
if context == '':
context = self.__class__.__name__
return QCoreApplication.translate(context, string)