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# Copyright 2022-2024 ETSI OSG/SDG TeraFlowSDN (TFS) (https://tfs.etsi.org/)
#
# 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.
from typing import Dict, List, Optional
def json_endpoint_descriptor(
endpoint_uuid : str, endpoint_type : str, endpoint_name : Optional[str] = None,
sample_types : List[int] = [], location : Optional[Dict] = None
) -> Dict:
result = {'uuid': endpoint_uuid, 'type': endpoint_type}
if endpoint_name is not None:
result['name'] = endpoint_name
if sample_types is not None and len(sample_types) > 0:
result['sample_types'] = sample_types
if location is not None and len(location) > 0:
result['location'] = location
def json_endpoint_id(device_id : Dict, endpoint_uuid : str, topology_id : Optional[Dict] = None):
result = {'device_id': copy.deepcopy(device_id), 'endpoint_uuid': {'uuid': endpoint_uuid}}
if topology_id is not None: result['topology_id'] = copy.deepcopy(topology_id)
return result
device_id : Dict, endpoint_descriptors : List[Dict], topology_id : Optional[Dict] = None
json_endpoint_id(device_id, endpoint_data['uuid'], topology_id=topology_id)
for endpoint_data in endpoint_descriptors
def json_endpoint(
device_id : Dict, endpoint_uuid : str, endpoint_type : str, topology_id : Optional[Dict] = None,
kpi_sample_types : List[int] = [], location : Optional[Dict] = None
):
result = {
'endpoint_id': json_endpoint_id(device_id, endpoint_uuid, topology_id=topology_id),
'endpoint_type': endpoint_type,
}
if kpi_sample_types is not None and len(kpi_sample_types) > 0:
result['kpi_sample_types'] = copy.deepcopy(kpi_sample_types)
if location is not None:
result['endpoint_location'] = copy.deepcopy(location)
device_id : Dict, endpoint_descriptors : List[Dict], topology_id : Optional[Dict] = None
device_id, endpoint_data['uuid'], endpoint_data['type'], topology_id=topology_id,
kpi_sample_types=endpoint_data.get('sample_types'), location=endpoint_data.get('location'))