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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 List, Set
from sqlalchemy.sql.expression import BinaryExpression
from common.method_wrappers.Decorator import MetricsPool, safe_and_metered_rpc_method
from common.proto.context_pb2 import Empty
from common.proto.kpi_manager_pb2_grpc import KpiManagerServiceServicer
from common.proto.kpi_manager_pb2 import KpiId, KpiDescriptor, KpiDescriptorFilter, KpiDescriptorList
from .NameMapping import NameMapping
from kpi_manager.database.Kpi_DB import KpiDB
from kpi_manager.database.KpiModel import Kpi as KpiModel
LOGGER = logging.getLogger(__name__)
METRICS_POOL = MetricsPool('KpiManager', 'NBIgRPC')
class KpiManagerServiceServicerImpl(KpiManagerServiceServicer):
def __init__(self, name_mapping : NameMapping):
LOGGER.debug('Init KpiManagerService')
self.kpi_db_obj = KpiDB()
@safe_and_metered_rpc_method(METRICS_POOL, LOGGER)
def SetKpiDescriptor(self, request: KpiDescriptor, grpc_context: grpc.ServicerContext # type: ignore
) -> KpiId: # type: ignore
LOGGER.debug("Received gRPC message object: {:}".format(request))
kpi_to_insert = KpiModel.convert_KpiDescriptor_to_row(request)
if(self.kpi_db_obj.add_row_to_db(kpi_to_insert)):
response.kpi_id.uuid = request.kpi_id.kpi_id.uuid
# LOGGER.debug("Added Row: {:}".format(response))
return response
except Exception as e:
LOGGER.debug("Unable to create KpiModel class object. {:}".format(e))
@safe_and_metered_rpc_method(METRICS_POOL, LOGGER)
def GetKpiDescriptor(self, request: KpiId, grpc_context: grpc.ServicerContext # type: ignore
) -> KpiDescriptor: # type: ignore
response = KpiDescriptor()
print("--> Received gRPC message object: {:}".format(request))
LOGGER.debug("Received gRPC message object: {:}".format(request))
try:
kpi_id_to_search = request.kpi_id.uuid
row = self.kpi_db_obj.search_db_row_by_id(KpiModel, 'kpi_id', kpi_id_to_search)
response = KpiModel.convert_row_to_KpiDescriptor(row)
return response
if row is None:
print ('No matching row found for kpi id: {:}'.format(kpi_id_to_search))
LOGGER.debug('No matching row found kpi id: {:}'.format(kpi_id_to_search))
return Empty()
print ('Unable to search kpi id. {:}'.format(e))
LOGGER.debug('Unable to search kpi id. {:}'.format(e))
raise e
# kpi_id_to_search = request.kpi_id.uuid
# row = self.kpi_db_obj.search_db_row_by_id(KpiModel, 'kpi_id', kpi_id_to_search)
# if row is None:
# print ('Unable to search kpi id. {:}'.format(kpi_id_to_search))
# LOGGER.debug('Unable to search kpi id. {:}'.format(kpi_id_to_search))
# raise IDNotFoundError
# response = KpiModel.convert_row_to_KpiDescriptor(row)
# return response
@safe_and_metered_rpc_method(METRICS_POOL, LOGGER)
def DeleteKpiDescriptor(self, request: KpiId, grpc_context: grpc.ServicerContext # type: ignore
LOGGER.debug("Received gRPC message object: {:}".format(request))
try:
kpi_id_to_search = request.kpi_id.uuid
self.kpi_db_obj.delete_db_row_by_id(KpiModel, 'kpi_id', kpi_id_to_search)
LOGGER.debug('Unable to search kpi id. {:}'.format(e))
@safe_and_metered_rpc_method(METRICS_POOL, LOGGER)
def SelectKpiDescriptor(self, filter: KpiDescriptorFilter, grpc_context: grpc.ServicerContext # type: ignore
) -> KpiDescriptorList: # type: ignore
LOGGER.debug("Received gRPC message object: {:}".format(filter))
response = KpiDescriptorList()
try:
rows = self.kpi_db_obj.select_with_filter(KpiModel, filter)
LOGGER.debug('Unable to apply filter on kpi descriptor. {:}'.format(e))
for row in rows:
kpiDescriptor_obj = KpiModel.convert_row_to_KpiDescriptor(row)
response.kpi_descriptor_list.append(kpiDescriptor_obj)
return response
except Exception as e:
LOGGER.debug('Unable to process filter response {:}'.format(e))