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# ============LICENSE_START===================================================
# Copyright (C) 2020 Nordix Foundation.
# ============================================================================
# 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.
#
# SPDX-License-Identifier: Apache-2.0
# ============LICENSE_END=====================================================
import json
import os
from unittest import TestCase
from parameterized import parameterized
from mod.network_function import NetworkFunctionFilter, NetworkFunction
def custom_name_func(testcase_func, param_num, param):
return "%s_%s" % (
testcase_func.__name__,
parameterized.to_safe_name((str(param.args[0]))),
)
def load_test_cases():
test_parameters = []
with open(os.path.join(os.path.dirname(__file__),
'data/filter_test_data.json'), 'r') as test_data:
loaded_test_data = json.load(test_data)
for test in loaded_test_data:
params = [value for key, value in test.items()]
test_parameters.append(params)
return test_parameters
class NetworkFunctionFilterTest(TestCase):
@parameterized.expand(load_test_cases, name_func=custom_name_func)
def test(self, test_name, nf_filter, nf_name, model_invariant_uuid,
model_version_id, model_name,
expected_result):
nf_filter = NetworkFunctionFilter(**nf_filter)
self.assertEqual(nf_filter.is_nf_in_filter(NetworkFunction(nf_name=nf_name,
model_invariant_id=model_invariant_uuid,
model_version_id=model_version_id,
model_name=model_name)),
expected_result)
def test_filter_true_on_multiple_modelInvariantIDs(self):
nf_filter = NetworkFunctionFilter(**{
"nfNames": [
],
"modelInvariantIDs": [
'5845y423-g654-6fju-po78-8n53154532k6',
'7129e420-d396-4efb-af02-6b83499b12f8'
],
"modelVersionIDs": [
],
"modelNames": [
]
})
self.assertTrue(nf_filter.is_nf_in_filter(
NetworkFunction(nf_name='pnf1',
model_invariant_id='7129e420-d396-4efb-af02-6b83499b12f8',
model_version_id='e80a6ae3-cafd-4d24-850d-e14c084a5ca9',
model_name='pnf_102')))
def test_filter_false_on_modelInvariantIDs_being_false_and_pnfname_being_true(self):
nf_filter = NetworkFunctionFilter(**{
"nfNames": [
"^pnf.*",
"^vnf.*"
],
"modelInvariantIDs": [
'5845y423-g654-6fju-po78-8n53154532k6',
'7129e420-d396-4efb-af02-6b83499b12f8'
],
"modelVersionIDs": [
],
"modelNames": [
]
})
self.assertFalse(nf_filter.is_nf_in_filter(
NetworkFunction(nf_name='pnf1',
model_invariant_id='WrongModelInvariantUUID',
model_version_id='e80a6ae3-cafd-4d24-850d-e14c084a5ca9',
model_name='pnf_102')))
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