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| 1 | +# pylint: disable=redefined-outer-name |
| 2 | +# pylint: disable=unused-argument |
| 3 | +# pylint: disable=unused-variable |
| 4 | +# pylint: disable=no-member |
| 5 | + |
| 6 | +import time |
| 7 | + |
| 8 | +import distributed |
| 9 | +import pytest |
| 10 | +from dask_task_models_library.models import TASK_LIFE_CYCLE_EVENT, TaskLifeCycleState |
| 11 | +from models_library.projects_state import RunningState |
| 12 | +from tenacity import Retrying, stop_after_delay, wait_fixed |
| 13 | + |
| 14 | +pytest_simcore_core_services_selection = [ |
| 15 | + "rabbit", |
| 16 | +] |
| 17 | + |
| 18 | + |
| 19 | +def test_task_state_lifecycle(local_cluster: distributed.LocalCluster) -> None: |
| 20 | + def _some_task() -> int: |
| 21 | + time.sleep(1) |
| 22 | + return 2 |
| 23 | + |
| 24 | + def _some_failing_task() -> None: |
| 25 | + time.sleep(1) |
| 26 | + msg = "Some error" |
| 27 | + raise RuntimeError(msg) |
| 28 | + |
| 29 | + local_cluster.scale(0) |
| 30 | + for attempt in Retrying( |
| 31 | + stop=stop_after_delay(10), wait=wait_fixed(1), reraise=True |
| 32 | + ): |
| 33 | + with attempt: |
| 34 | + assert len(local_cluster.workers) == 0 |
| 35 | + with distributed.Client(local_cluster) as dask_client: |
| 36 | + # submit the task and wait until it goes into WAITING_FOR_RESOURCES |
| 37 | + future = dask_client.submit(_some_task, resources={"CPU": 1}) |
| 38 | + for attempt in Retrying( |
| 39 | + stop=stop_after_delay(10), wait=wait_fixed(1), reraise=True |
| 40 | + ): |
| 41 | + with attempt: |
| 42 | + events = dask_client.get_events( |
| 43 | + TASK_LIFE_CYCLE_EVENT.format(key=future.key) |
| 44 | + ) |
| 45 | + assert isinstance(events, tuple) |
| 46 | + assert len(events) >= 2 |
| 47 | + parsed_events = [ |
| 48 | + TaskLifeCycleState.model_validate(event[1]) for event in events |
| 49 | + ] |
| 50 | + assert parsed_events[0].state is RunningState.PENDING |
| 51 | + assert parsed_events[-1].state is RunningState.WAITING_FOR_RESOURCES |
| 52 | + |
| 53 | + # now add a worker and wait for it to take the task |
| 54 | + local_cluster.scale(1) |
| 55 | + |
| 56 | + # we basically wait for the tasks to finish |
| 57 | + assert future.result(timeout=15) == 2 |
| 58 | + |
| 59 | + events = dask_client.get_events(TASK_LIFE_CYCLE_EVENT.format(key=future.key)) |
| 60 | + assert isinstance(events, tuple) |
| 61 | + parsed_events = [ |
| 62 | + TaskLifeCycleState.model_validate(event[1]) for event in events |
| 63 | + ] |
| 64 | + assert parsed_events[0].state is RunningState.PENDING |
| 65 | + assert RunningState.STARTED in {event.state for event in parsed_events} |
| 66 | + assert RunningState.FAILED not in {event.state for event in parsed_events} |
| 67 | + assert parsed_events[-1].state is RunningState.SUCCESS |
| 68 | + |
| 69 | + future = dask_client.submit(_some_failing_task) |
| 70 | + with pytest.raises(RuntimeError): |
| 71 | + future.result(timeout=10) |
| 72 | + events = dask_client.get_events(TASK_LIFE_CYCLE_EVENT.format(key=future.key)) |
| 73 | + parsed_events = [ |
| 74 | + TaskLifeCycleState.model_validate(event[1]) for event in events |
| 75 | + ] |
| 76 | + assert parsed_events[0].state is RunningState.PENDING |
| 77 | + assert RunningState.STARTED in {event.state for event in parsed_events} |
| 78 | + assert RunningState.FAILED in {event.state for event in parsed_events} |
| 79 | + assert RunningState.SUCCESS not in {event.state for event in parsed_events} |
| 80 | + assert parsed_events[-1].state is RunningState.FAILED |
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