+GOOD_YAML_NAME = 'fake_name'
+GOOD_TASK_ID = str(uuid.uuid4())
+GOOD_DB_FIELDKEYS = [{'fieldKey': 'fake_key'}]
+GOOD_DB_TASK = [{
+ 'fake_key': 0.000,
+ 'time': '0000-00-00T00:00:00.000000Z',
+ }]
+GOOD_TIMESTAMP = ['00:00:00.000000']
+BAD_YAML_NAME = 'F@KE_NAME'
+BAD_TASK_ID = 'aaaaaa-aaaaaaaa-aaaaaaaaaa-aaaaaa'
+
+
+class JSTreeTestCase(unittest.TestCase):
+
+ def setUp(self):
+ self.jstree = report.JSTree()
+
+ def test__create_node(self):
+ _id = "tg__0.DropPackets"
+
+ expected_data = [
+ {"id": "tg__0", "text": "tg__0", "parent": "#"},
+ {"id": "tg__0.DropPackets", "text": "DropPackets", "parent": "tg__0"}
+ ]
+ self.jstree._create_node(_id)
+
+ self.assertEqual(self.jstree._created_nodes, ['#', 'tg__0', 'tg__0.DropPackets'])
+ self.assertEqual(self.jstree.jstree_data, expected_data)
+
+ def test_format_for_jstree(self):
+ data = [
+ {'data': [0, ], 'name': 'tg__0.DropPackets'},
+ {'data': [548, ], 'name': 'tg__0.LatencyAvg.5'},
+ {'data': [1172, ], 'name': 'tg__0.LatencyAvg.6'},
+ {'data': [1001, ], 'name': 'tg__0.LatencyMax.5'},
+ {'data': [1468, ], 'name': 'tg__0.LatencyMax.6'},
+ {'data': [18.11, ], 'name': 'tg__0.RxThroughput'},
+ {'data': [18.11, ], 'name': 'tg__0.TxThroughput'},
+ {'data': [0, ], 'name': 'tg__1.DropPackets'},
+ {'data': [548, ], 'name': 'tg__1.LatencyAvg.5'},
+ {'data': [1172, ], 'name': 'tg__1.LatencyAvg.6'},
+ {'data': [1001, ], 'name': 'tg__1.LatencyMax.5'},
+ {'data': [1468, ], 'name': 'tg__1.LatencyMax.6'},
+ {'data': [18.1132084505, ], 'name': 'tg__1.RxThroughput'},
+ {'data': [18.1157260383, ], 'name': 'tg__1.TxThroughput'},
+ {'data': [9057888, ], 'name': 'vnf__0.curr_packets_in'},
+ {'data': [0, ], 'name': 'vnf__0.packets_dropped'},
+ {'data': [617825443, ], 'name': 'vnf__0.packets_fwd'},
+ ]
+
+ expected_output = [
+ {"id": "tg__0", "text": "tg__0", "parent": "#"},
+ {"id": "tg__0.DropPackets", "text": "DropPackets", "parent": "tg__0"},
+ {"id": "tg__0.LatencyAvg", "text": "LatencyAvg", "parent": "tg__0"},
+ {"id": "tg__0.LatencyAvg.5", "text": "5", "parent": "tg__0.LatencyAvg"},
+ {"id": "tg__0.LatencyAvg.6", "text": "6", "parent": "tg__0.LatencyAvg"},
+ {"id": "tg__0.LatencyMax", "text": "LatencyMax", "parent": "tg__0"},
+ {"id": "tg__0.LatencyMax.5", "text": "5", "parent": "tg__0.LatencyMax"},
+ {"id": "tg__0.LatencyMax.6", "text": "6", "parent": "tg__0.LatencyMax"},
+ {"id": "tg__0.RxThroughput", "text": "RxThroughput", "parent": "tg__0"},
+ {"id": "tg__0.TxThroughput", "text": "TxThroughput", "parent": "tg__0"},
+ {"id": "tg__1", "text": "tg__1", "parent": "#"},
+ {"id": "tg__1.DropPackets", "text": "DropPackets", "parent": "tg__1"},
+ {"id": "tg__1.LatencyAvg", "text": "LatencyAvg", "parent": "tg__1"},
+ {"id": "tg__1.LatencyAvg.5", "text": "5", "parent": "tg__1.LatencyAvg"},
+ {"id": "tg__1.LatencyAvg.6", "text": "6", "parent": "tg__1.LatencyAvg"},
+ {"id": "tg__1.LatencyMax", "text": "LatencyMax", "parent": "tg__1"},
+ {"id": "tg__1.LatencyMax.5", "text": "5", "parent": "tg__1.LatencyMax"},
+ {"id": "tg__1.LatencyMax.6", "text": "6", "parent": "tg__1.LatencyMax"},
+ {"id": "tg__1.RxThroughput", "text": "RxThroughput", "parent": "tg__1"},
+ {"id": "tg__1.TxThroughput", "text": "TxThroughput", "parent": "tg__1"},
+ {"id": "vnf__0", "text": "vnf__0", "parent": "#"},
+ {"id": "vnf__0.curr_packets_in", "text": "curr_packets_in", "parent": "vnf__0"},
+ {"id": "vnf__0.packets_dropped", "text": "packets_dropped", "parent": "vnf__0"},
+ {"id": "vnf__0.packets_fwd", "text": "packets_fwd", "parent": "vnf__0"},
+ ]
+
+ result = self.jstree.format_for_jstree(data)
+ self.assertEqual(expected_output, result)