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TelemetryFrontendServiceServicerImpl.py 3.99 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.

from typing import Tuple
from common.proto.context_pb2 import Empty
from monitoring.service.NameMapping import NameMapping
from confluent_kafka import Producer as KafkaProducer
from confluent_kafka import KafkaException
from common.proto.telemetry_frontend_pb2 import CollectorId, Collector, CollectorFilter, CollectorList
from common.method_wrappers.Decorator import MetricsPool, safe_and_metered_rpc_method
from common.proto.telemetry_frontend_pb2_grpc import TelemetryFrontendServiceServicer


LOGGER          = logging.getLogger(__name__)
METRICS_POOL    = MetricsPool('Monitoring', 'TelemetryFrontend')
KAFKA_SERVER_IP = '127.0.0.1:9092'

class TelemetryFrontendServiceServicerImpl(TelemetryFrontendServiceServicer):
    def __init__(self, name_mapping : NameMapping):
        LOGGER.info('Init TelemetryFrontendService')

    # @safe_and_metered_rpc_method(METRICS_POOL, LOGGER)
    def StartCollector(self, 
                       request : Collector, grpc_context: grpc.ServicerContext # type: ignore
                      ) -> CollectorId: # type: ignore
        # push info to frontend db
        response = CollectorId()
        _collector_id       = request.collector_id
        _collector_kpi_id   = str(request.kpi_id.kpi_id.uuid)
        _collector_duration = int(request.duration_s)
        _collector_interval = int(request.interval_s)
        activeCollObj = self.generate_kafka_request(str(_collector_id), _collector_kpi_id, _collector_duration, _collector_interval)
        response.collector_id.uuid = _collector_id.collector_id.uuid
        return response
    
    @safe_and_metered_rpc_method(METRICS_POOL, LOGGER)
    def StopCollector(self, 
                      request : CollectorId, grpc_context: grpc.ServicerContext # type: ignore
                     ) -> Empty:  # type: ignore
        request.collector_id.uuid = ""

    @safe_and_metered_rpc_method(METRICS_POOL, LOGGER)
    def SelectCollectors(self, 
                         request : CollectorFilter, contextgrpc_context: grpc.ServicerContext # type: ignore
                        ) -> CollectorList:  # type: ignore
        response = CollectorList()
        return response
    
    # @safe_and_metered_rpc_method(METRICS_POOL, LOGGER)
    def generate_kafka_request(self, 
                             msg_key, kpi: str, duration : int, interval: int
                             ) -> KafkaProducer:
        """
        Method to generate collector request to Kafka topic.
        """
        producer_configs = {
            'bootstrap.servers': KAFKA_SERVER_IP,
            'group.id'         : 'requester',
        }
        topic_request = "topic_request"
        msg_value   = Tuple [str, int, int]
        msg_value   = (kpi, duration, interval)

        producerObj = KafkaProducer(producer_configs)
        producerObj.produce(topic_request, key=msg_key, value= str(msg_value), callback=self.delivery_callback)
        producerObj.flush()
        return producerObj

    @safe_and_metered_rpc_method(METRICS_POOL, LOGGER)
    def delivery_callback(self, err, msg):
        """
        Callback function to handle message delivery status.
        Args:
            err (KafkaError): Kafka error object.
            msg (Message): Kafka message object.
        """
        if err:
            print(f'Message delivery failed: {err}')
        else:
            print(f'Message delivered to topic {msg.topic()}')