2 # -*- coding: utf-8 -*-
3 # Copyright (C) 2007-2021 CEA/DEN, EDF R&D
5 # This library is free software; you can redistribute it and/or
6 # modify it under the terms of the GNU Lesser General Public
7 # License as published by the Free Software Foundation; either
8 # version 2.1 of the License, or (at your option) any later version.
10 # This library is distributed in the hope that it will be useful,
11 # but WITHOUT ANY WARRANTY; without even the implied warranty of
12 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
13 # Lesser General Public License for more details.
15 # You should have received a copy of the GNU Lesser General Public
16 # License along with this library; if not, write to the Free Software
17 # Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
19 # See http://www.salome-platform.org/ or email : webmaster.salome@opencascade.com
23 from PMML import PMMLlib, kANN, kLR
30 class PMMLBasicsTest(unittest.TestCase):
33 self.resourcesDir = ".." + os.sep + "Test" + os.sep + "samples" + os.sep ;
34 self.tmpDir = os.sep + "tmp" + os.sep + os.environ['LOGNAME'] + os.sep ;
35 self.tmpDir += "PmmlUnitTest";
36 self.tmpDir += os.sep ;
37 if ( not os.path.exists(self.tmpDir) ):
38 os.makedirs(self.tmpDir);
43 if ( os.path.exists(self.tmpDir) ):
44 shutil.rmtree(self.tmpDir);
48 def testExportPythonNeuralNet(self):
49 pmmlFile = self.resourcesDir + "ann_model.pmml";
51 exportPyScript = self.tmpDir + "swigTestExportPythonNeuralNet.py";
52 refPyFilename = self.resourcesDir + "unittest_ref_ann_model.py";
53 with open(refPyFilename,"r") as f:
54 refLines = f.readlines();
56 p = PMMLlib( pmmlFile );
57 p.SetCurrentModel( model, kANN );
58 p.ExportPython( exportPyScript, "myTestFunc",
59 "File used by unit test\n PMMLBasicsTest1::testExportNeuralNetworkPython" );
60 with open(exportPyScript,"r") as f:
61 myLines = f.readlines();
62 self.assertEqual( len(myLines), len(refLines) );
63 for (i,line) in enumerate(myLines):
64 self.assertEqual( line, refLines[i] );
68 def testExportPythonRegression(self):
69 pmmlFile = self.resourcesDir + "lr_model.pmml";
70 model = "Modeler[LinearRegression]Tds[steamplant]Predictor[x6:x8:x6x8:x6x6x8]Target[x1]";
71 exportPyScript = self.tmpDir + "swigTestExportPythonRegression.py";
72 refPyFilename = self.resourcesDir + "unittest_ref_lr_model.py";
73 with open(refPyFilename,"r") as f:
74 refLines = f.readlines();
76 p = PMMLlib( pmmlFile );
77 p.SetCurrentModel( model, kLR );
78 p.ExportPython( exportPyScript, "myTestFunc",
79 "File used by unit test\n PMMLBasicsTest1::testExportLinearRegressionPython" );
80 with open(exportPyScript,"r") as f:
81 myLines = f.readlines();
82 self.assertEqual( len(myLines), len(refLines) );
83 for (i,line) in enumerate(myLines):
84 self.assertEqual( line, refLines[i] );
88 def testPmmlFileNotReadable(self):
89 self.assertRaises( RuntimeError, PMMLlib, "0.mml" );
92 def testPmmlFileNotReadable(self):
93 pmmlFile = self.resourcesDir + "ann_model.pmml";
95 p = PMMLlib(pmmlFile);
96 self.assertRaises( RuntimeError, p.SetCurrentModel, model, kLR );
99 def testPmmlFileNotWritable(self):
101 self.assertRaises( RuntimeError, p.Write );