KafkaProducerService.py

# 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 .KafkaProducerServiceImpl import KafkaProducerServiceImpl

class KafkaProducerService:
    """
    Class to control Kafka producer functionality.
    """
    def __init__(self):
        pass


    def generate_kafka_configs(self):    
        """
        Method to generate Kafka configurations 
        """
        create_kafka_configs = {
            'bootstrap_servers' : "test_server",       # Kafka broker address - Replace with your Kafka broker address            
            'exporter_endpoint' : "test_exporter",     # Node Exporter metrics endpoint - Replace with your Node Exporter endpoint
            'kafka_topic'       : "test_kafka_topic",  # Kafka topic to produce to
            'run_duration'      : 10,                  # Total duration to execute the producer
            'fetch_interval'    : 2                    # Time between two fetch requests
        }
        return create_kafka_configs

    def run_producer(self):
        """
        Method to create KafkaProducerServiceImpl object and start producer.
        """
        # Create NodeExporterProducer object and run start_producer_thread
        producer = KafkaProducerServiceImpl(self.bootstrap_servers, self.node_exporter_endpoint, 
                    self.kafka_topic, self.run_duration, self.fetch_interval
                    )
        # producer.start_producer_thread()    # if threading is required
        producer.produce_metrics()      # if threading is not required

if __name__ == "__main__":

    # Create Kafka producer service object and run producer
    kafka_controller = KafkaProducerService()
    kafka_controller.run_producer()