gitea_admin/sientia-dataops-scouter_temporal
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SIENTIAPDE-1441

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Refactor prepare_worker.py to improve type annotations and code clarity. Update import statements and enhance formatting for better readability. Adjust comments in worker.py for consistency.
This commit is contained in:
vitor-aignosi
2025-12-16 16:01:47 -03:00
parent 26eed05f74
commit 666a0a6e13
2 changed files with 14 additions and 15 deletions
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26
scouter/worker/prepare_worker.py
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@@ -1,17 +1,15 @@
from typing import Sequence, Type, Any
from temporalio.worker import Worker, PollerBehaviorAutoscaling
from temporalio.client import Client
import os
from collections.abc import Sequence
from typing import Any
from temporalio.client import Client
from temporalio.worker import PollerBehaviorAutoscaling, Worker
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'),
@@ -20,21 +18,21 @@ parameters = [
('ACTIVITY_POLLER_BEHAVIUR_MAXIMUM', '200'),
]
def prepare_worker(
main_workflow: Type,
other_workflows: Sequence[Type],
main_workflow: type,
other_workflows: Sequence[type],
activities: Sequence[Any],
temporal_client: Client,
) -> Worker:
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]))
os.getenv(main_workflow_name + '_' + parameter[0], parameter[1])
)
return Worker(
temporal_client,
@@ -43,7 +41,9 @@ def prepare_worker(
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_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'],
@@ -55,4 +55,4 @@ def prepare_worker(
initial=local_workflow_parameters['ACTIVITY_POLLER_BEHAVIUR_INITIAL'],
maximum=local_workflow_parameters['ACTIVITY_POLLER_BEHAVIUR_MAXIMUM'],
),
)
)