Add ML based optimization to PCI opt

[optf/osdf.git] / test / apps / pci_optimization / test_ml_model.py

diff --git a/test/apps/pci_optimization/test_ml_model.py b/test/apps/pci_optimization/test_ml_model.py
new file mode 100644 (file)
index 0000000..9c617a9
--- /dev/null
+++ b/test/apps/pci_optimization/test_ml_model.py
@@ -0,0 +1,87 @@
+# -------------------------------------------------------------------------
+#   Copyright (C) 2020 Wipro Limited.
+#
+#   Licensed under the Apache License, Version 2.0 (the "License");
+#   you may not use this file except in compliance with the License.
+#   You may obtain a copy of the License at
+#
+#       http://www.apache.org/licenses/LICENSE-2.0
+#
+#   Unless required by applicable law or agreed to in writing, software
+#   distributed under the License is distributed on an "AS IS" BASIS,
+#   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#   See the License for the specific language governing permissions and
+#   limitations under the License.
+#
+# -------------------------------------------------------------------------
+#
+
+import copy
+from mock import patch
+import unittest
+from apps.pci.optimizers.solver.ml_model import MlModel
+from osdf.adapters.dcae.des import DESException
+import osdf.config.loader as config_loader
+from osdf.utils.interfaces import json_from_file
+from osdf.utils.programming_utils import DotDict
+
+
+class TestMlModel(unittest.TestCase):
+    def setUp(self):
+        self.config_spec = {
+            "deployment": "config/osdf_config.yaml",
+            "core": "config/common_config.yaml"
+        }
+        self.osdf_config = DotDict(config_loader.all_configs(**self.config_spec))
+
+    def tearDown(self):
+        pass
+
+    def test_ml_model(self):
+        des_result_file = 'test/apps/pci_optimization/des_result.json'
+        results = json_from_file(des_result_file)
+
+        dzn_data = {
+            'NUM_NODES': 4,
+            'NUM_PCIS': 4,
+            'NUM_NEIGHBORS': 4,
+            'NEIGHBORS': [],
+            'NUM_SECOND_LEVEL_NEIGHBORS': 1,
+            'SECOND_LEVEL_NEIGHBORS': [],
+            'PCI_UNCHANGEABLE_CELLS': [],
+            'ORIGINAL_PCIS': []
+        }
+
+        network_cell_info = {
+            'cell_list': [
+                {
+                    'cell_id': 'Chn0001',
+                    'id': 1,
+                    'nbr_list': []
+                },
+                {
+                    'cell_id': 'Chn0002',
+                    'id': 2,
+                    'nbr_list': []
+                }
+            ]
+        }
+        self.patcher_req = patch('osdf.adapters.dcae.des.extract_data', side_effect=results)
+        self.Mock_req = self.patcher_req.start()
+        mlmodel = MlModel()
+        mlmodel.get_additional_inputs(dzn_data, network_cell_info)
+        self.assertEqual(['Chn0001'], dzn_data['PCI_UNCHANGEABLE_CELLS'])
+        self.patcher_req.stop()
+
+        dzn_data['PCI_UNCHANGEABLE_CELLS'] = []
+        self.patcher_req = patch('osdf.adapters.dcae.des.extract_data', side_effect=DESException('error'))
+        self.Mock_req = self.patcher_req.start()
+        mlmodel.get_additional_inputs(dzn_data, network_cell_info)
+        self.assertEqual([], dzn_data['PCI_UNCHANGEABLE_CELLS'])
+        self.patcher_req.stop()
+
+        self.patcher_req = patch('osdf.adapters.dcae.des.extract_data', return_value=[])
+        self.Mock_req = self.patcher_req.start()
+        mlmodel.get_additional_inputs(dzn_data, network_cell_info)
+        self.assertEqual([], dzn_data['PCI_UNCHANGEABLE_CELLS'])
+        self.patcher_req.stop()