SIENTIAPDE-1441

SIENTIAPDE-1441: Refactor worker configuration in worker.py to utilize a new prepare_worker function for cleaner setup. Update environment variable names in values.yaml for consistency and clarity, adjusting memory requests and enhancing health check commands for improved application monitoring.
This commit is contained in:
vitor-aignosi
2025-12-16 15:39:54 -03:00
parent 14eea70090
commit f1cdf7471d
3 changed files with 79 additions and 41 deletions

View File

@@ -0,0 +1,60 @@
from typing import Sequence, Type, Any
from temporalio.worker import Worker, PollerBehaviorAutoscaling
from temporalio.client import Client
import os
parameters = [
('MAX_CONCURRENT_WORKFLOW_TASKS', '200'),
('MAX_CONCURRENT_ACTIVITIES', '200'),
('MAX_CONCURRENT_LOCAL_ACTIVITIES', '200'),
('MAX_CACHED_WORKFLOWS', '200'),
('WORKFLOW_POLLER_BEHAVIUR_MINIMUM', '10'),
('WORKFLOW_POLLER_BEHAVIUR_INITIAL', '100'),
('WORKFLOW_POLLER_BEHAVIUR_MAXIMUM', '200'),
('ACTIVITY_POLLER_BEHAVIUR_MINIMUM', '10'),
('ACTIVITY_POLLER_BEHAVIUR_INITIAL', '100'),
('ACTIVITY_POLLER_BEHAVIUR_MAXIMUM', '200'),
]
def prepare_worker(
main_workflow: Type,
other_workflows: Sequence[Type],
activities: Sequence[Any],
temporal_client: Client,
):
main_workflow_name = main_workflow.__name__.upper()
local_workflow_parameters = {}
for parameter in parameters:
local_workflow_parameters[parameter[0]] = int(
os.getenv(main_workflow_name + '_' + parameter[0], parameter[1]))
return [
Worker(
temporal_client,
task_queue='scouter-queue',
workflows=[main_workflow, *other_workflows],
activities=[*activities],
max_concurrent_workflow_tasks=local_workflow_parameters['MAX_CONCURRENT_WORKFLOW_TASKS'],
max_concurrent_activities=local_workflow_parameters['MAX_CONCURRENT_ACTIVITIES'],
max_concurrent_local_activities=local_workflow_parameters['MAX_CONCURRENT_LOCAL_ACTIVITIES'],
max_cached_workflows=local_workflow_parameters['MAX_CACHED_WORKFLOWS'],
workflow_task_poller_behavior=PollerBehaviorAutoscaling(
minimum=local_workflow_parameters['WORKFLOW_POLLER_BEHAVIUR_MINIMUM'],
initial=local_workflow_parameters['WORKFLOW_POLLER_BEHAVIUR_INITIAL'],
maximum=local_workflow_parameters['WORKFLOW_POLLER_BEHAVIUR_MAXIMUM'],
),
activity_task_poller_behavior=PollerBehaviorAutoscaling(
minimum=local_workflow_parameters['ACTIVITY_POLLER_BEHAVIUR_MINIMUM'],
initial=local_workflow_parameters['ACTIVITY_POLLER_BEHAVIUR_INITIAL'],
maximum=local_workflow_parameters['ACTIVITY_POLLER_BEHAVIUR_MAXIMUM'],
),
)
]