# Copyright 2022-2023 ETSI TeraFlowSDN - TFS OSG (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. import logging from sqlalchemy.dialects.postgresql import UUID from sqlalchemy import Column, Integer, String, Float, Text, ForeignKey # from sqlalchemy.ext.declarative import declarative_base from sqlalchemy.orm import registry from sqlalchemy.orm import sessionmaker, relationship from common.proto.kpi_management_pb2 import KpiDescriptor logging.basicConfig(level=logging.INFO) LOGGER = logging.getLogger(__name__) # Create a base class for declarative models Base = registry().generate_base() # Base = declarative_base() class Kpi(Base): __tablename__ = 'kpi' kpi_id = Column(UUID(as_uuid=False), primary_key=True) kpi_description = Column(Text , nullable=False) kpi_sample_type = Column(Integer , nullable=False) device_id = Column(String , nullable=False) endpoint_id = Column(String , nullable=False) service_id = Column(String , nullable=False) slice_id = Column(String , nullable=False) connection_id = Column(String , nullable=False) link_id = Column(String , nullable=False) # helps in logging the information def __repr__(self): return (f"<Kpi(kpi_id='{self.kpi_id}', kpi_description='{self.kpi_description}', " f"kpi_sample_type='{self.kpi_sample_type}', device_id='{self.device_id}', " f"endpoint_id='{self.endpoint_id}', service_id='{self.service_id}', " f"slice_id='{self.slice_id}', connection_id='{self.connection_id}', " f"link_id='{self.link_id}')>") @classmethod def convert_KpiDescriptor_to_row(cls, request): """ Create an instance of Kpi from a request object. Args: request: The request object containing the data. Returns: An instance of Kpi initialized with data from the request. """ return cls( kpi_id = request.kpi_id.kpi_id.uuid, kpi_description = request.kpi_description, kpi_sample_type = request.kpi_sample_type, device_id = request.device_id.device_uuid.uuid, endpoint_id = request.endpoint_id.endpoint_uuid.uuid, service_id = request.service_id.service_uuid.uuid, slice_id = request.slice_id.slice_uuid.uuid, connection_id = request.connection_id.connection_uuid.uuid, link_id = request.link_id.link_uuid.uuid ) @classmethod def convert_row_to_KpiDescriptor(cls, row): """ Create and return a dictionary representation of a Kpi instance. Args: row: The Kpi instance (row) containing the data. Returns: KpiDescriptor object """ response = KpiDescriptor() response.kpi_id.kpi_id.uuid = row.kpi_id response.kpi_description = row.kpi_description response.kpi_sample_type = row.kpi_sample_type response.service_id.service_uuid.uuid = row.service_id response.device_id.device_uuid.uuid = row.device_id response.slice_id.slice_uuid.uuid = row.slice_id response.endpoint_id.endpoint_uuid.uuid = row.endpoint_id response.connection_id.connection_uuid.uuid = row.connection_id response.link_id.link_uuid.uuid = row.link_id return response