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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=====================================================
from mod import pmsh_logging as logger, db
from mod.db_models import NetworkFunctionModel
class NetworkFunction:
def __init__(self, **kwargs):
"""
Object representation of the NetworkFunction.
"""
self.nf_name = kwargs.get('nf_name')
self.orchestration_status = kwargs.get('orchestration_status')
@classmethod
def nf_def(cls):
return cls(nf_name=None, orchestration_status=None)
def __str__(self):
return f'nf-name: {self.nf_name}, orchestration-status: {self.orchestration_status}'
def create(self):
""" Creates a NetworkFunction database entry
"""
existing_nf = NetworkFunctionModel.query.filter(
NetworkFunctionModel.nf_name == self.nf_name).one_or_none()
if existing_nf is None:
new_nf = NetworkFunctionModel(nf_name=self.nf_name,
orchestration_status=self.orchestration_status)
db.session.add(new_nf)
db.session.commit()
return new_nf
else:
logger.debug(f'Network function {existing_nf} already exists,'
f' returning this network function..')
return existing_nf
@staticmethod
def get(nf_name):
""" Retrieves a network function
Args:
nf_name (str): The network function name
Returns:
NetworkFunctionModel object else None
"""
return NetworkFunctionModel.query.filter(
NetworkFunctionModel.nf_name == nf_name).one_or_none()
@staticmethod
def get_all():
""" Retrieves all network functions
Returns:
list: NetworkFunctionModel objects else empty
"""
return NetworkFunctionModel.query.all()
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