Files
sientia-dataops-model-manager/tests/worker/test_prepare_worker.py
vitor-aignosi c5cd382350 feat: enhance configuration and scheduling for cleanup processes
- Updated `.env.example` to include new environment variables for MinIO and PyPI configuration.
- Refactored `create_cleanup_schedule` to utilize runtime-specific task queues and improve schedule reconciliation logic.
- Enhanced `Activities` class to require a default bucket in MinIO configuration.
- Adjusted `requirements.txt` to specify version for `evidently`.
- Updated tests to reflect changes in schedule creation and configuration handling.
2026-04-07 12:57:29 -03:00

79 lines
2.7 KiB
Python

"""Unit tests for local worker factory."""
from unittest.mock import MagicMock, patch
def test_prepare_worker_train_queue_uses_train_limits():
from model_manager.worker.prepare_worker import prepare_worker
from model_manager.workflows.train_model import TrainModel
fake_worker = MagicMock()
fake_client = MagicMock()
fake_logger = MagicMock()
with patch(
'model_manager.worker.prepare_worker.Worker', return_value=fake_worker
) as worker_class:
with patch.dict(
'os.environ',
{
'TRAINMODEL_ACTIVITY_EXECUTOR_MAX_WORKERS': '3',
'TRAINMODEL_MAX_CONCURRENT_ACTIVITIES': '6',
'TRAINMODEL_MAX_CONCURRENT_WORKFLOW_TASKS': '10',
},
clear=False,
):
worker = prepare_worker(
main_workflow=TrainModel,
other_workflows=[],
activities=[],
temporal_client=fake_client,
logger=fake_logger,
runtime='model-manager-worker',
)
assert worker is fake_worker
worker_class.assert_called_once()
kwargs = worker_class.call_args.kwargs
assert kwargs['task_queue'] == 'train_model-model-manager-worker-queue'
assert kwargs['max_concurrent_activities'] == 6
assert kwargs['max_concurrent_workflow_tasks'] == 10
assert kwargs['activity_executor']._max_workers == 3
kwargs['activity_executor'].shutdown(wait=True, cancel_futures=True)
def test_prepare_worker_cleanup_queue_uses_cleanup_limits():
from model_manager.worker.prepare_worker import prepare_worker
from model_manager.workflows.cleanup_files import CleanupFiles
fake_worker = MagicMock()
fake_client = MagicMock()
fake_logger = MagicMock()
with patch(
'model_manager.worker.prepare_worker.Worker', return_value=fake_worker
) as worker_class:
with patch.dict(
'os.environ',
{
'CLEANUPFILES_ACTIVITY_EXECUTOR_MAX_WORKERS': '5',
'CLEANUPFILES_MAX_CONCURRENT_ACTIVITIES': '7',
},
clear=False,
):
worker = prepare_worker(
main_workflow=CleanupFiles,
other_workflows=[],
activities=[],
temporal_client=fake_client,
logger=fake_logger,
runtime='model-manager-worker',
)
assert worker is fake_worker
kwargs = worker_class.call_args.kwargs
assert kwargs['task_queue'] == 'cleanup_files-model-manager-worker-queue'
assert kwargs['max_concurrent_activities'] == 7
assert kwargs['activity_executor']._max_workers == 5
kwargs['activity_executor'].shutdown(wait=True, cancel_futures=True)