QGIS/python/plugins/processing/preconfigured/PreconfiguredAlgorithm.py
2017-06-06 07:41:19 +10:00

69 lines
2.4 KiB
Python

# -*- coding: utf-8 -*-
"""
***************************************************************************
PreconfiguredAlgorithm.py
---------------------
Date : April 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. *
* *
***************************************************************************
"""
__author__ = 'Victor Olaya'
__date__ = 'April 2016'
__copyright__ = '(C) 2016, Victor Olaya'
# This will get replaced with a git SHA1 when you do a git archive
__revision__ = '$Format:%H$'
import os
from qgis.core import (QgsProcessingAlgorithm,
QgsApplication)
from processing.core.GeoAlgorithm import GeoAlgorithm
from copy import deepcopy
import json
class PreconfiguredAlgorithm(GeoAlgorithm):
def __init__(self, descriptionFile):
self.descriptionFile = descriptionFile
with open(self.descriptionFile) as f:
self.description = json.load(f)
GeoAlgorithm.__init__(self)
self._name = self.description["name"]
self._group = self.description["group"]
def group(self):
return self._group
def displayName(self):
return self._name
def name(self):
return os.path.splitext(os.path.basename(self.descriptionFile))[0].lower()
def flags(self):
return QgsProcessingAlgorithm.FlagHideFromModeler
def execute(self, parameters, context=None, feedback=None, model=None):
new_parameters = deepcopy(parameters)
self.alg = QgsApplication.processingRegistry().algorithmById(self.description["algname"])
for name, value in list(self.description["parameters"].items()):
new_parameters[name] = value
for name, value in list(self.description["outputs"].items()):
self.alg.setOutputValue(name, value)
self.alg.execute(new_parameters, feedback)
self.outputs = self.alg.outputs