1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
|
#
# -------------------------------------------------------------------------
# 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 unittest
import uuid
from conductor.data.plugins.inventory_provider.candidates.candidate import Candidate
from conductor.data.plugins.inventory_provider.candidates.slice_profiles_candidate import SliceProfilesCandidate
class TestCandidates(unittest.TestCase):
def setUp(self):
pass
def tearDown(self):
pass
def test_slice_profiles_candidate(self):
id = str(uuid.uuid4())
expected_candidate = {
"candidate_id": id,
"core_latency": 15,
"core_reliability": 99.99,
"cost": 1.0,
"coverage_area_ta_list": "City: Chennai",
"inventory_provider": "generator",
"inventory_type": "slice_profiles",
"latency": 25,
"ran_coverage_area_ta_list": "City: Chennai",
"ran_latency": 10,
"ran_reliability": 99.99,
"reliability": 99.99,
"uniqueness": "true",
"creation_cost": 0.9
}
info = Candidate.build_candidate_info("generator", "slice_profiles", 1.0, "true", id)
subnet_requirements = {"core": {"latency": 15, "reliability": 99.99},
"ran": {"latency": 10, "reliability": 99.99, "coverage_area_ta_list": "City: Chennai"}
}
candidate = SliceProfilesCandidate(info=info, subnet_requirements=subnet_requirements,
default_fields={"creation_cost": 0.9})
self.assertEqual(expected_candidate, candidate.convert_nested_dict_to_dict())
|