from typing import List
import threading
import time
from confluent_kafka import Consumer, KafkaError, KafkaException
import csle_collector.constants.constants as collector_constants
from csle_collector.client_manager.client_population_metrics import ClientPopulationMetrics
from csle_common.logging.log import Logger
[docs]class ClientPopulationConsumerThread(threading.Thread):
"""
Thread that polls the Kafka log to get the latest status of the client population
"""
def __init__(self, kafka_server_ip: str, kafka_port: int,
client_population_metrics: ClientPopulationMetrics, auto_offset_reset: str = "latest") -> None:
"""
Initialzes the thread
:param kafka_server_ip: the ip of the kafka server
:param kafka_port: the port of the kafka server
:param client_population_metrics: the client population metrics to update
:param auto_offset_reset: the offset for kafka to start reading from
"""
threading.Thread.__init__(self)
self.running = True
self.kafka_server_ip = kafka_server_ip
self.kafka_port = kafka_port
self.client_population_metrics = client_population_metrics
self.client_population_metrics_list: List[ClientPopulationMetrics] = []
self.ts = time.time()
self.auto_offset_reset = auto_offset_reset
self.kafka_conf = {
collector_constants.KAFKA.BOOTSTRAP_SERVERS_PROPERTY: f"{self.kafka_server_ip}:{self.kafka_port}",
collector_constants.KAFKA.GROUP_ID_PROPERTY: f"client_population_consumer_thread_{self.ts}",
collector_constants.KAFKA.AUTO_OFFSET_RESET_PROPERTY: auto_offset_reset}
self.consumer = Consumer(**self.kafka_conf)
self.consumer.subscribe([collector_constants.KAFKA_CONFIG.CLIENT_POPULATION_TOPIC_NAME])
[docs] def run(self) -> None:
"""
Run thread
:return: None
"""
while self.running:
msg = self.consumer.poll(timeout=5.0)
if msg is not None:
if msg.error():
if msg.error().code() == KafkaError._PARTITION_EOF:
Logger.__call__().get_logger.warning(
f"reached end of partition: {msg.topic(), msg.partition(), msg.offset()}")
elif msg.error():
raise KafkaException(msg.error())
else:
self.client_population_metrics.update_with_kafka_record(record=msg.value().decode())
self.client_population_metrics_list.append(self.client_population_metrics.copy())
self.consumer.close()
[docs] def get_average_client_population_metrics(self) -> ClientPopulationMetrics:
"""
:return: average of the list of client population metrics
"""
if len(self.client_population_metrics_list) == 0:
return self.client_population_metrics.copy()
if len(self.client_population_metrics_list) == 1:
return self.client_population_metrics_list[0].copy()
avg_client_population_metrics = ClientPopulationMetrics(num_clients=0, rate=0)
for i in range(len(self.client_population_metrics_list)):
avg_client_population_metrics.num_clients = (avg_client_population_metrics.num_clients +
self.client_population_metrics_list[i].num_clients)
avg_client_population_metrics.rate = (avg_client_population_metrics.rate +
self.client_population_metrics_list[i].rate)
avg_client_population_metrics.num_clients = int(round(
avg_client_population_metrics.num_clients / len(self.client_population_metrics_list)))
avg_client_population_metrics.rate = float(round(
avg_client_population_metrics.rate / len(self.client_population_metrics_list)))
return avg_client_population_metrics