temporalio / temporalio/sdk-python
[Bug] No clean way to cancel an activity and wait until it's cancelled
Nessuno ha ancora preso questa issue.
- Lingua principale
- Python
- Stelle
- 1.2k
- Fork
- 241
- Merge medio
- 3g 21h
- PR unite (30g)
- 55
Descrizione
What are you really trying to do?
Start an activity from a workflow, cancel it, wait for clean cancellation acknowledgement, exit the workflow.
Describe the bug
There appear to be several issues.
- If you call
handle.cancel()on an activity handle from the workflow, theCancelledErrorwill only be raised in the activity after anactivity.heartbeat()call, followed by anawait something()call. Otherwise the activity itself doesn't seem to receiveCancelledError. This kinda sucks -- both that you need to callheartbeat()for cancellation requests to get through, and the fact that long-running coros do not get interrupted correctly. I don't understand the underlying implementation, but if the reason we need toheartbeat()is that workers don't want to poll for cancellation, still, when you callactivity.heartbeat(), the client library could check for cancellation and immediately calltask.cancel()on the task running the activity, no? Currently the work-around seems to be to litter activity code withasyncio.sleep(0.1). - From the workflow code, if you want to cleanly wait for the activity cancellation, you have to catch
ActivityError, which is a broader exception type than I actually want to catch (presumably there are otherActivityErrors which I don't want to catch). - If you use
WAIT_CANCELLATION_COMPLETED, if you try to cancel an activity that's currently awaiting a long-running coro (likeasyncio.sleep(10)), the activity won't receive aCancelledErroruntil it sends a heartbeat, which it can't do until the coro it's waiting on finishes, so your workflow won't finish until the activity's long-running coro finishes.
Minimal Reproduction
https://github.com/andmis/snippets/tree/temporal-python-sdk-cannot-cleanly-cancel-activities
Using python run_workflow.py with no args, the workflow exits promptly, but the activity never receives CancelledError, completes, and we get warning log spam:
2024-12-09 19:44:06.116611+00:00 (Workflow) Starting, use_sleep=False use_wait=False
2024-12-09 11:44:06.124587 (Activity) Running sandbox_activity
2024-12-09 19:44:07.130422+00:00 (Workflow) Cancelling activity
2024-12-09 19:44:07.130422+00:00 (Workflow) Activity cancelled
2024-12-09 19:44:07.130422+00:00 (Workflow) Exiting
2024-12-09 11:44:12.868185 (Activity) Completing sandbox_activity
2024-12-09T19:44:12.881460Z WARN temporal_sdk_core::worker::activities: Activity not found on completion. This may happen if the activity has already been cancelled but completed anyway. task_token=TaskToken(CiRhOTc2ZWZkMy1iM2NiLTQwZmMtOWYzZi1jNjk0MzU2NjMzN2ESEHNhbmRib3gtd29ya2Zsb3caJDVhMjAyNWI3LWRhY2MtNDg4OC04NjA5LWI3NGQ3MzI2MzA3YyAFKAEyATFCEHNhbmRib3hfYWN0aXZpdHlKCAgBEIeKQBgB) details=Status { code: NotFound, message: "workflow execution already completed", details: b"\x08\x05\x12$workflow execution already completed\x1aB\n@type.googleapis.com/temporal.api.errordetails.v1.NotFoundFailure", metadata: MetadataMap { headers: {"content-type": "application/grpc"} }, source: None }
Using python run_workflow.py -w, the workflow waits until the activity's long-running sleep finishes, despite the activity being cancelled (note timestamps), and the activity completes rather than being cancelled:
2024-12-09 19:45:15.119427+00:00 (Workflow) Starting, use_sleep=False use_wait=True
2024-12-09 11:45:15.127826 (Activity) Running sandbox_activity
2024-12-09 19:45:16.130733+00:00 (Workflow) Cancelling activity
2024-12-09 11:45:24.371849 (Activity) Completing sandbox_activity
2024-12-09 19:45:24.384356+00:00 (Workflow) Exiting
Using python run_workflow.py -w -s, the workflow waits for the long-running coro in the activity to finish, which is bad, and the activity does cancel rather than completing, but -s sucks:
2024-12-09 19:47:00.283375+00:00 (Workflow) Starting, use_sleep=True use_wait=True
2024-12-09 11:47:00.291593 (Activity) Running sandbox_activity
2024-12-09 19:47:01.301447+00:00 (Workflow) Cancelling activity
2024-12-09 11:47:06.547612 (Activity) Cancelling sandbox_activity
2024-12-09 19:47:06.551643+00:00 (Workflow) Activity cancelled
2024-12-09 19:47:06.551643+00:00 (Workflow) Exiting
Using python run_workflow.py -s results in the workflow exiting cleanly and promptly (since we aren't using WAIT_CANCELLATION_COMPLETED), and the activity cancels rather than completing, but still waits on the long-running coro:
2024-12-09 19:48:40.102363+00:00 (Workflow) Starting, use_sleep=True use_wait=False
2024-12-09 11:48:40.110083 (Activity) Running sandbox_activity
2024-12-09 19:48:41.121725+00:00 (Workflow) Cancelling activity
2024-12-09 19:48:41.121725+00:00 (Workflow) Activity cancelled
2024-12-09 19:48:41.121725+00:00 (Workflow) Exiting
2024-12-09 11:48:47.629316 (Activity) Cancelling sandbox_activity
Environment/Versions
OS and processor: macOS, M1
Temporal version: 1.1.2
Python SDK version: 1.8.0
Are you using Docker or Kubernetes or building Temporal from source? No
Guida per i contributori
Apri la guida per i contributori
Come iniziare
- Leggi tutta la issue e poi la guida ai contributi del progetto.
- Commenta sulla issue per dire che te ne occupi tu — evita che due persone facciano lo stesso lavoro.
- Fai un fork del repository e lavora su un branch.
- Apri una pull request che faccia riferimento al numero della issue.
Direzione di ricerca
Inizia dalla riproduzione minima collegata, in particolare da run_workflow.py e dai relativi percorsi di annullamento dell’attività. Esegui le varianti senza argomenti, -w, -s e -w -s per confrontare la tempistica dell’annullamento, il comportamento dell’heartbeat e WAIT_CANCELLATION_COMPLETED. Traccia la gestione dell’annullamento dell’attività dell’SDK a partire da questi punti di ingresso; il lavoro è completato quando l’annullamento interrompe la coroutine di lunga durata e il workflow può attendere un annullamento pulito senza una gestione ampia delle eccezioni.
Scritto dal modello di indicizzazione a partire dal testo della issue.
Valutazione
- Stack tecnologico
- python
- Ambito
- backend, distributed-systems
- Tipo di issue
- Bug
- Difficoltà
- 5/5
- Tempo stimato
- Più di una settimana
- Stato di attività
- Ferma
- Chiarezza
- Da chiarire
- Idoneità per principianti
- 28/100