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OpticalConfigModel.py 1.83 KiB
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  • # 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  json,logging
    from sqlalchemy import Column, String ,Integer
    from sqlalchemy.dialects.postgresql import ARRAY
    
    
    from ._Base import _Base
    
    
    
    
    
    class OpticalConfigModel (_Base):
        __tablename__="OpticalConfig"
        opticalconfig_uuid = Column(String, primary_key=True)
    
        channels=Column(ARRAY(String),nullable=True)
        transcievers= Column(ARRAY(String),nullable=True)
        interfaces =Column(String,nullable=True)
        channel_namespace=Column(String,nullable=True)
        endpoints=Column(ARRAY(String),nullable=True)
        frequency=Column(Integer,nullable=True)
        operational_mode=Column(Integer,nullable=True)
        output_power=Column(String,nullable=True)
        
    
        
        def dump (self):
           
            return {
                "channels":[{'name':{'index':channel}} for channel in self.channels],
                "transceivers":{"transceiver":[transciever for transciever in self.transcievers]},
                "interfaces":{"interface":json.loads(self.interfaces)},
                "channel_namespace":self.channel_namespace,
                "endpoints":[json.loads(endpoint) for endpoint in self.endpoints],
                "frequency":self.frequency,
                "output_power":self.output_power,
                "operational_mode":self.operational_mode
            }