Files
sientia-dataops-scouter_tem…/scouter/worker/worker.py
vitor-aignosi 2a76f2e3c6 SIENTIAPDE-1199
Enhance logging in Gates, MongoDB, and Redis activities by replacing debug statements with info level logs, improving observability of data processing steps. Update worker configuration to adjust concurrency settings and enable autoscaling for task polling.
2025-08-20 12:39:43 -03:00

153 lines
4.8 KiB
Python

from temporalio import workflow, client
from temporalio.worker import Worker, PollerBehaviorAutoscaling
from temporalio.runtime import Runtime, TelemetryConfig, PrometheusConfig
with workflow.unsafe.imports_passed_through():
import sys
import os
from sientia_do.notifications.handlers import CoreNotificationHandler as NotificationHandler
from sientia_do.observability.logger import get_logger
from scouter.activities.activities import Activities
from scouter.workflow.scouter import Scouter
from scouter.workflow.sub_workflows.core_scouter import CoreScouter
from scouter.workflow.fake_data import FakeData
from scouter.activities.faker import Faker
import asyncio
from prometheus_client import start_http_server
from scouter import metrics
from scouter.utils.connectors_config import (
build_postgres_config,
build_redis_config,
build_mongodb_config
)
POD_ID = os.getenv("HOSTNAME", "localhost")
SDK_METRICS_PORT = int(os.getenv('HTTP_SDK_METRICS_PORT', "9091"))
async def main():
host = os.getenv('TEMPORAL_HOST', 'localhost:7233')
logger = get_logger(__name__)
logger.info(f"Starting Worker with pod_id: {POD_ID}")
logger.info("Starting prometheus client...")
start_prometheus_server()
logger.info('Starting Notification Handler...')
mongo_config = build_mongodb_config()
notification_handler = NotificationHandler(
connection_string=mongo_config['connection_string'],
database=mongo_config['database_name'],
logger=logger,
project_name=os.getenv('PROJECT_NAME', 'scouter')
)
logger.info('Starting Activities...')
activities = Activities(
logger=logger,
notification_handler=notification_handler,
postgres_config=build_postgres_config(),
redis_config=build_redis_config(),
mongodb_config=build_mongodb_config()
)
logger.info('Starting Faker Activities...')
faker_activities = Faker(
logger=logger,
notification_handler=notification_handler,
bootstrap_servers=os.getenv(
'KAFKA_BOOTSTRAP_SERVERS', 'localhost:9092')
)
logger.info(f'Starting SDK Metrics Server on port {SDK_METRICS_PORT}...')
new_runtime = Runtime(
telemetry=TelemetryConfig(
metrics=PrometheusConfig(
bind_address=f"0.0.0.0:{SDK_METRICS_PORT}")
)
)
logger.info('Starting Temporal Client...')
temporal_client = await client.Client.connect(
target_host=host,
namespace=os.getenv('TEMPORAL_NAMESPACE', 'laborious'),
runtime=new_runtime
)
logger.info('Starting Workers...')
workers = [
Worker(
temporal_client,
task_queue='scouter-queue',
workflows=[Scouter, CoreScouter],
activities=[
activities.load_latest_data,
activities.get_last_data_timestamp,
activities.put_last_data_timestamp,
activities.data_quality_gate,
activities.aggregate_data,
activities.group_and_hold_data,
activities.export_data_to_postgres,
activities.write_metrics,
activities.store_data_package,
],
max_concurrent_workflow_tasks=50,
max_concurrent_activities=50,
max_concurrent_local_activities=50,
max_cached_workflows=200,
workflow_task_poller_behavior=PollerBehaviorAutoscaling(),
activity_task_poller_behavior=PollerBehaviorAutoscaling()
),
Worker(
temporal_client,
task_queue='fake_data-queue',
workflows=[FakeData],
activities=[
faker_activities.generate_and_send_data,
]
)
]
handlers = []
for w in workers:
handlers.append(w.run())
logger.info('Workers started successfully')
try:
await asyncio.gather(*handlers)
except BaseException as e: # NOSONAR
logger.error("An unhandled exception occurred: %s", e, exc_info=True)
finally:
if notification_handler:
notification_handler.shutdown()
if activities:
activities.shutdown()
# Exit with a non-zero status code to indicate failure to Kubernetes
metrics.APP_UP.labels(pod_id=POD_ID).set(0) # Mark app as DOWN
sys.exit(1)
def start_prometheus_server():
try:
port = int(os.getenv("HTTP_METRICS_PORT", 9090))
start_http_server(port)
print(f"Prometheus server started on port {port}.")
metrics.APP_UP.labels(pod_id=POD_ID).set(1) # Mark app as UP
except Exception as e:
print(f"Failed to start Prometheus server: {e}")
os._exit(1)
if __name__ == '__main__':
asyncio.run(main())