gitea_admin/sientia-dataops-scouter_temporal
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Refactor prepare_worker function to return a single Worker instance instead of a list, streamlining worker configuration and improving code clarity.
This commit is contained in:
vitor-aignosi
2025-12-16 15:43:01 -03:00
parent f1cdf7471d
commit 5e2403090b
1 changed files with 21 additions and 23 deletions
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6
scouter/worker/prepare_worker.py
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@@ -25,7 +25,7 @@ def prepare_worker(
other_workflows: Sequence[Type], other_workflows: Sequence[Type],
activities: Sequence[Any], activities: Sequence[Any],
temporal_client: Client, temporal_client: Client,
): ) -> Worker:
main_workflow_name = main_workflow.__name__.upper() main_workflow_name = main_workflow.__name__.upper()
@@ -36,8 +36,7 @@ def prepare_worker(
os.getenv(main_workflow_name + '_' + parameter[0], parameter[1])) os.getenv(main_workflow_name + '_' + parameter[0], parameter[1]))
return [ return Worker(
Worker(
temporal_client, temporal_client,
task_queue='scouter-queue', task_queue='scouter-queue',
workflows=[main_workflow, *other_workflows], workflows=[main_workflow, *other_workflows],
@@ -57,4 +56,3 @@ def prepare_worker(
maximum=local_workflow_parameters['ACTIVITY_POLLER_BEHAVIUR_MAXIMUM'], maximum=local_workflow_parameters['ACTIVITY_POLLER_BEHAVIUR_MAXIMUM'],
), ),
) )
]