SIENTIAPDE-1083: add prometheus metrics to data_manager.

This commit is contained in:
Bruno Domingues
2025-05-28 21:30:28 -03:00
parent 8e332da597
commit f71b4c7937
2 changed files with 40 additions and 25 deletions

View File

@@ -6,11 +6,17 @@ from kafka.errors import NoBrokersAvailable
from sientia_do.notifications.handlers import NotificationHandler
from sientia_do.notifications.models import NotificationLevel
import traceback
import ingestor.metrics as metrics
import os
class DataManager():
def __init__(self, kafka_servers: str, logger: Logger,
notification_handler: NotificationHandler) -> None:
class DataManager:
def __init__(
self,
kafka_servers: str,
logger: Logger,
notification_handler: NotificationHandler,
) -> None:
"""
Initializes the DataManager instance with a Kafka producer.
This constructor attempts to establish a connection to the specified Kafka servers
@@ -23,31 +29,39 @@ class DataManager():
NoBrokersAvailable: If the connection to Kafka servers fails after 3 attempts.
"""
self.pod_id = os.getenv("HOSTNAME", "localhost")
self.kafka_producer = None
for i in range(0, 3):
logger.info(
f"Trying ({i}) to initializing DataManager with Kafka servers: {kafka_servers}")
f"Trying ({i}) to initializing DataManager with Kafka servers: {kafka_servers}"
)
try:
self.kafka_producer = KafkaProducer(
bootstrap_servers=kafka_servers,
value_serializer=lambda v: json.dumps(v).encode(
'utf-8'), # Serialize JSON messages
key_serializer=lambda k: str(
k).encode('utf-8') if k else None,
"utf-8"
), # Serialize JSON messages
key_serializer=lambda k: str(k).encode("utf-8") if k else None,
)
# Kafka connected
metrics.KAFKA_CONNECTION_STATUS.labels(pod_id=self.pod_id).set(1)
break
except NoBrokersAvailable:
logger.error(
f"Kafka servers {kafka_servers} are not available. Retrying...")
f"Kafka servers {kafka_servers} are not available. Retrying..."
)
sleep(5)
else:
# Kafka not connected
metrics.KAFKA_CONNECTION_STATUS.labels(pod_id=self.pod_id).set(0)
logger.error(
f"Failed to connect to Kafka servers {kafka_servers} after 3 attempts.")
f"Failed to connect to Kafka servers {kafka_servers} after 3 attempts."
)
raise NoBrokersAvailable(
f"Failed to connect to Kafka servers {kafka_servers} after 3 attempts.")
f"Failed to connect to Kafka servers {kafka_servers} after 3 attempts."
)
logger.info(
f"DataManager initialized with Kafka servers: {kafka_servers}")
logger.info(f"DataManager initialized with Kafka servers: {kafka_servers}")
self.logger = logger
self.notification_handler = notification_handler
@@ -57,12 +71,12 @@ class DataManager():
try:
self.kafka_producer.flush(timeout=10)
self.kafka_producer.close()
# Mark as disconnected
metrics.KAFKA_CONNECTION_STATUS.labels(pod_id=self.pod_id).set(0)
except Exception as e:
self.logger.error(
f"Error closing Kafka producer: {e}")
self.logger.error(f"Error closing Kafka producer: {e}")
else:
self.logger.warning(
"Kafka producer is already closed or not initialized.")
self.logger.warning("Kafka producer is already closed or not initialized.")
def __del__(self):
self.shutdown()
@@ -70,7 +84,8 @@ class DataManager():
def delivery_report(self, msg: str):
"""Callback for delivery reports from Kafka."""
self.logger.debug(
f"Record successfully produced to {msg.topic} [{msg.partition}] at offset {msg.offset}")
f"Record successfully produced to {msg.topic} [{msg.partition}] at offset {msg.offset}"
)
def delivery_error(self, err: str):
"""Callback for delivery reports from Kafka."""
@@ -93,22 +108,22 @@ class DataManager():
try:
self.logger.debug(
f"Publishing message to topic {topic}: {data}")
self.kafka_producer.send(
topic=topic, value=data).add_callback(
self.delivery_report).add_errback(
self.delivery_error)
self.logger.debug(f"Publishing message to topic {topic}: {data}")
self.kafka_producer.send(topic=topic, value=data).add_callback(
self.delivery_report
).add_errback(self.delivery_error)
self.kafka_producer.flush(timeout=10)
metrics.KAFKA_MESSAGES_SENT.labels(pod_id=self.pod_id, topic=topic).inc()
except Exception as e:
metrics.KAFKA_MESSAGES_ERRORS.labels(pod_id=self.pod_id, topic=topic).inc()
trace = traceback.format_exc()
self.notification_handler.build_and_send_notification(
notification_id=f"KAFKA_PRODUCER_ERROR_{topic}",
message=f"Error publishing message to topic {topic}: {e}",
block="kafka_producer",
level=NotificationLevel.ERROR,
attachment_content=trace
attachment_content=trace,
)
self.logger.error(trace)