KpiValueApiServiceServicerImpl.py

# 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.

import logging, grpc, json
from typing import Tuple, Any, List, Dict
from common.method_wrappers.Decorator import MetricsPool, safe_and_metered_rpc_method
from common.tools.kafka.Variables import KafkaConfig, KafkaTopic

from common.proto.context_pb2 import Empty
from common.proto.kpi_value_api_pb2_grpc import KpiValueAPIServiceServicer
from common.proto.kpi_value_api_pb2 import KpiValueList, KpiValueFilter

from confluent_kafka import Producer as KafkaProducer

from .NameMapping import NameMapping


LOGGER = logging.getLogger(__name__)
METRICS_POOL = MetricsPool('KpiValueAPI', 'NBIgRPC')

class KpiValueApiServiceServicerImpl(KpiValueAPIServiceServicer):
    def __init__(self, name_mapping : NameMapping):
        LOGGER.debug('Init KpiValueApiService')
    
    @safe_and_metered_rpc_method(METRICS_POOL, LOGGER)
    def StoreKpiValues(self, request: KpiValueList, grpc_context: grpc.ServicerContext
                       ) -> Empty:
        LOGGER.debug('StoreKpiValues: Received gRPC message object: {:}'.format(request))
        
        producer_obj = KafkaProducer({
            'bootstrap.servers' : KafkaConfig.SERVER_IP.value    
        })
        
        for kpi_value in request.kpi_value_list:
            kpi_value_to_produce : Tuple [str, Any, Any] = (
                kpi_value.kpi_id.kpi_id,            # kpi_value.kpi_id.kpi_id.uuid
                kpi_value.timestamp,                # kpi_value.timestamp.timestamp
                kpi_value.kpi_value_type            # kpi_value.kpi_value_type.(many options) how?
            )
            LOGGER.debug('KPI to produce is {:}'.format(kpi_value_to_produce))
            msg_key = "gRPC-KpiValueApi"        # str(__class__.__name__)
            # write this KPI to Kafka
        
            producer_obj.produce(
                KafkaTopic.VALUE.value, 
                key   = msg_key,
                # value = json.dumps(kpi_value_to_produce),
                value = kpi_value.SerializeToString(),
                callback = self.delivery_callback
            )
            producer_obj.flush()

        return Empty()

    @safe_and_metered_rpc_method(METRICS_POOL, LOGGER)
    def SelectKpiValues(self, request: KpiValueFilter, grpc_context: grpc.ServicerContext
                        ) -> KpiValueList:
        LOGGER.debug('SelectKpiValues: Received gRPC message object: {:}'.format(request))

    def delivery_callback(self, err, msg):
        if err: LOGGER.debug('Message delivery failed: {:}'.format(err))
        else:   print('Message delivered to topic {:}'.format(msg.topic()))