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236 lines
9.2 KiB
Python
236 lines
9.2 KiB
Python
# -*- coding: utf-8 -*-
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"""
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***************************************************************************
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ModelerAlgorithmTest.py
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---------------------
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Date : March 2013
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Copyright : (C) 2013 by Victor Olaya
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Email : volayaf at gmail dot com
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***************************************************************************
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* *
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* This program is free software; you can redistribute it and/or modify *
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* it under the terms of the GNU General Public License as published by *
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* the Free Software Foundation; either version 2 of the License, or *
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* (at your option) any later version. *
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* *
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***************************************************************************
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"""
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__author__ = 'Victor Olaya'
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__date__ = 'March 2013'
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__copyright__ = '(C) 2013, Victor Olaya'
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# This will get replaced with a git SHA1 when you do a git archive
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__revision__ = '$Format:%H$'
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import os
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import unittest
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from osgeo import gdal
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from osgeo.gdalconst import GA_ReadOnly
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import processing
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from processing.modeler import ModelerAlgorithmProvider
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from processing.modeler.ModelerAlgorithm import ModelerAlgorithm
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from processing.modeler.Providers import Providers
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from processing.tools import dataobjects
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from processing.tests.TestData import points, points2, polygons, polygons2, \
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lines, union, table, raster
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class ModelerAlgorithmTest(unittest.TestCase):
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def testCreateModel(self):
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pass
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def testEditModelParameter(self):
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pass
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def testEditModelAlgorithm(self):
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pass
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def testRemoveAlgorithm(self):
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folder = \
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os.path.join(os.path.dirname(ModelerAlgorithmProvider.__file__),
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'models')
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modelfile = os.path.join(folder, 'noinputs.model')
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model = ModelerAlgorithm()
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model.openModel(modelfile)
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model.provider = Providers.providers['model']
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self.assertTrue(2, len(model.algs))
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self.assertFalse(model.removeAlgorithm(0))
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self.assertTrue(model.removeAlgorithm(len(model.algs) - 1))
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model.execute(None)
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outputs = model.outputs
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self.assertEquals(1, len(outputs))
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output = outputs[0].value
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self.assertTrue(os.path.exists(output))
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def testRemoveParameter(self):
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folder = \
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os.path.join(os.path.dirname(ModelerAlgorithmProvider.__file__),
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'models')
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modelfile = os.path.join(folder, 'watersheds.model')
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model = ModelerAlgorithm()
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model.openModel(modelfile)
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self.assertTrue(2, len(model.parameters))
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self.assertFalse(model.removeParameter(0))
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self.assertTrue(2, len(model.parameters))
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def testComputingDependecies(self):
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folder = \
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os.path.join(os.path.dirname(ModelerAlgorithmProvider.__file__),
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'models')
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modelfile = os.path.join(folder, 'watersheds.model')
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model = ModelerAlgorithm()
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model.openModel(modelfile)
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self.assertTrue(2, len(model.parameters))
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self.assertTrue(5, len(model.algs))
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dependent = model.getDependentAlgorithms(0)
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self.assertEquals([0, 1, 2, 3, 4], dependent)
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dependent = model.getDependentAlgorithms(1)
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self.assertEquals([1, 2, 3, 4], dependent)
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dependent = model.getDependentAlgorithms(2)
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self.assertEquals([2, 3, 4], dependent)
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dependent = model.getDependentAlgorithms(3)
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self.assertEquals([3, 4], dependent)
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dependent = model.getDependentAlgorithms(4)
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self.assertEquals([4], dependent)
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depends = model.getDependsOnAlgorithms(0)
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self.assertEquals([], depends)
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depends = model.getDependsOnAlgorithms(1)
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self.assertEquals([0], depends)
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depends = model.getDependsOnAlgorithms(2)
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self.assertEquals([1, 0], depends)
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depends = model.getDependsOnAlgorithms(3)
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self.assertEquals([2, 1, 0], depends)
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depends = model.getDependsOnAlgorithms(4)
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self.assertEquals([3, 2, 1, 0], depends)
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def test_modelersagagrass(self):
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outputs = processing.runalg('modeler:sagagrass', points(), None)
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output = outputs['CENTROIDS_ALG1']
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layer = dataobjects.getObjectFromUri(output, True)
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fields = layer.pendingFields()
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expectednames = ['CAT']
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expectedtypes = ['Real']
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names = [str(f.name()) for f in fields]
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types = [str(f.typeName()) for f in fields]
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self.assertEqual(expectednames, names)
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self.assertEqual(expectedtypes, types)
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features = processing.features(layer)
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self.assertEqual(12, len(features))
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feature = features.next()
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attrs = feature.attributes()
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expectedvalues = ['1']
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values = [str(attr) for attr in attrs]
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self.assertEqual(expectedvalues, values)
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wkt = 'POINT(270839.65586926 4458983.16267036)'
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self.assertEqual(wkt, str(feature.geometry().exportToWkt()))
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def test_modelersimplemodel(self):
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outputs = processing.runalg('modeler:simplemodel', raster(), None)
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output = outputs['SLOPE_ALG0']
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self.assertTrue(os.path.isfile(output))
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dataset = gdal.Open(output, GA_ReadOnly)
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strhash = hash(str(dataset.ReadAsArray(0).tolist()))
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self.assertEqual(strhash, 1891122097)
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def test_modelerfieldautoextent(self):
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outputs = processing.runalg('modeler:fieldautoextent', polygons(),
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'POLY_NUM_A', None)
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output = outputs['USER_GRID_ALG0']
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self.assertTrue(os.path.isfile(output))
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dataset = gdal.Open(output, GA_ReadOnly)
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strhash = hash(str(dataset.ReadAsArray(0).tolist()))
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self.assertEqual(strhash, 2026100494)
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def test_modelernotinorder(self):
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outputs = processing.runalg('modeler:notinorder', raster(), None)
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output = outputs['CAREA_ALG0']
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self.assertTrue(os.path.isfile(output))
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dataset = gdal.Open(output, GA_ReadOnly)
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strhash = hash(str(dataset.ReadAsArray(0).tolist()))
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self.assertEqual(strhash, -1557050506)
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def test_modeleroptionalfield(self):
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outputs = processing.runalg('modeler:optionalfield', points(), None)
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output = outputs['OUTPUT_ALG0']
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layer = dataobjects.getObjectFromUri(output, True)
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fields = layer.pendingFields()
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expectednames = ['id', 'value', 'area', 'perim']
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expectedtypes = ['Integer', 'String', 'Real', 'Real']
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names = [str(f.name()) for f in fields]
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types = [str(f.typeName()) for f in fields]
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self.assertEqual(expectednames, names)
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self.assertEqual(expectedtypes, types)
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features = processing.features(layer)
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self.assertEqual(1, len(features))
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feature = features.next()
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attrs = feature.attributes()
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expectedvalues = ['0', 'all', '3592.818848', '230.989919']
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values = [str(attr) for attr in attrs]
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self.assertEqual(expectedvalues, values)
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wkt = 'POLYGON((270839.46818665 4458921.97813894,270778.60197966 4458935.96883677,270786.54279065 4458980.04784113,270803.15756434 4458983.84880322,270839.65586926 4458983.16267036,270855.74530134 4458940.79948673,270839.46818665 4458921.97813894))'
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self.assertEqual(wkt, str(feature.geometry().exportToWkt()))
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def test_modeleremptystring(self):
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outputs = processing.runalg('modeler:emptystring', union(), None)
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output = outputs['OUTPUT_LAYER_ALG0']
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layer = dataobjects.getObjectFromUri(output, True)
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fields = layer.pendingFields()
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expectednames = [
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'ID',
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'POLY_NUM_A',
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'POLY_ST_A',
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'ID_2',
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'POLY_NUM_B',
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'POLY_ST_B',
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'NewField',
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]
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expectedtypes = [
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'Integer',
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'Real',
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'String',
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'Integer',
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'Real',
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'String',
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'Integer',
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]
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names = [str(f.name()) for f in fields]
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types = [str(f.typeName()) for f in fields]
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self.assertEqual(expectednames, names)
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self.assertEqual(expectedtypes, types)
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features = processing.features(layer)
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self.assertEqual(8, len(features))
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feature = features.next()
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attrs = feature.attributes()
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expectedvalues = [
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'1',
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'1.1',
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'string a',
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'2',
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'1',
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'string a',
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'10',
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]
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values = [str(attr) for attr in attrs]
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self.assertEqual(expectedvalues, values)
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wkt = 'POLYGON((270807.08580285 4458940.1594565,270798.42294527 4458914.62661676,270780.81854858 4458914.21983449,270763.52289518 4458920.715993,270760.3449542 4458926.6570575,270763.78234766 4458958.22561242,270794.30290024 4458942.16424502,270807.08580285 4458940.1594565))'
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self.assertEqual(wkt, str(feature.geometry().exportToWkt()))
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def suite():
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suite = unittest.makeSuite(ModelerAlgorithmTest, 'test')
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return suite
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def runtests():
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result = unittest.TestResult()
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testsuite = suite()
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testsuite.run(result)
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return result
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