# Copyright 2021-2023 H2020 TeraFlow (https://www.teraflow-h2020.eu/)
#
# 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 sqlalchemy import Column, DateTime, Enum, ForeignKey, String
from sqlalchemy.dialects.postgresql import ARRAY, UUID
from sqlalchemy.orm import relationship
from typing import Dict
from .enums.KpiSampleType import ORM_KpiSampleTypeEnum
from ._Base import _Base

class EndPointModel(_Base):
    __tablename__ = 'endpoint'

    endpoint_uuid    = Column(UUID(as_uuid=False), primary_key=True)
    device_uuid      = Column(ForeignKey('device.device_uuid',     ondelete='CASCADE' ), nullable=False)
    topology_uuid    = Column(ForeignKey('topology.topology_uuid', ondelete='RESTRICT'), nullable=False)
    name             = Column(String, nullable=False)
    endpoint_type    = Column(String, nullable=False)
    kpi_sample_types = Column(ARRAY(Enum(ORM_KpiSampleTypeEnum), dimensions=1))
    created_at       = Column(DateTime, nullable=False)
    updated_at       = Column(DateTime, nullable=False)

    device            = relationship('DeviceModel',          back_populates='endpoints')
    topology          = relationship('TopologyModel')
    #link_endpoints    = relationship('LinkEndPointModel',    back_populates='endpoint' )
    #service_endpoints = relationship('ServiceEndPointModel', back_populates='endpoint' )

    def dump_id(self) -> Dict:
        result = {
            'topology_id'  : self.topology.dump_id(),
            'device_id'    : self.device.dump_id(),
            'endpoint_uuid': {'uuid': self.endpoint_uuid},
        }
        return result

    def dump(self) -> Dict:
        return {
            'endpoint_id'     : self.dump_id(),
            'name'            : self.name,
            'endpoint_type'   : self.endpoint_type,
            'kpi_sample_types': [kst.value for kst in self.kpi_sample_types],
        }