Azure / Azure/azure-functions-durable-python
"Non-Deterministic workflow detected" error from deterministic code
- Lingua principale
- Python
- Stelle
- 157
- Fork
- 70
- Merge medio
- 2g 10h
- PR unite (30g)
- 2
Descrizione
🐛 **Describe the bug**
I have a minimal repro which makes the Function fail with "Non-Deterministic workflow detected" error, even if the code is completely deterministic. If I replace the RuntimeError argument string with "x", then I get the expected behavior. There is something in the exception string which triggers the undesired behavior.
🤔 **Expected behavior**
The Function should end with Failed status with the exception from the activity in the output.
☕ **Steps to reproduce**
Here is the code for a minimal repro: HTTP trigger + trivial orchestration and activity. The activity throws an exception every time. (the SAS signature is fake)
```
import logging
import azure.functions as func
import azure.durable_functions as df
bp = df.Blueprint()
logger = logging.getLogger(__name__)
# ── Trigger ────────────────────────
@bp.route(route="repro")
@bp.durable_client_input(client_name="orchestration_client")
async def http_start_repro(
req: func.HttpRequest, orchestration_client: df.DurableOrchestrationClient
) -> func.HttpResponse:
instance_id = await orchestration_client.start_new("repro_orchestrator")
logger.info(f"Started repro orchestrator with ID '{instance_id}'")
return orchestration_client.create_check_status_response(req, instance_id)
# ── Orchestrator ──────────────────
@bp.orchestration_trigger(context_name="context")
def repro_orchestrator(context: df.DurableOrchestrationContext):
try:
yield context.call_activity("repro_activity")
except Exception as e:
logger.error(f"Repro orchestrator caught: {e}")
raise
# ── Activity ──────────────────────
@bp.activity_trigger(input_name="input_data")
def repro_activity(input_data):
# The sig= value contains /, +, and = which trigger the bug.
raise RuntimeError(
"Download failed: https://example.blob.core.windows.net/container/test.file"
"?sv=2025-07-05&spr=https&st=2026-04-01T10:58:55Z"
"&se=2026-04-02T10:58:55Z&sr=b&sp=r"
"&sig=aB3dE/fG5hI+jK7lM9nO="
)
# ── function_app.py ──────────────
# Save the following as function_app.py in the same directory:
import azure.functions as func
import azure.durable_functions as df
from repro_nondeterminism import bp
app = df.DFApp(http_auth_level=func.AuthLevel.ANONYMOUS)
app.register_blueprint(bp)
```
⚡**If deployed to Azure**
I see the same behavior if deployed to Azure. Please refer to the code.
Guida per i contributori
Apri la guida per i contributori
Direzione di ricerca
Inizia eseguendo la riproduzione minima da repro_nondeterminism.py con la configurazione di function_app.py, usando la stringa dell’eccezione fornita e il confronto più breve con "x". Traccia il modo in cui l’eccezione dell’attività viene segnalata attraverso il replay dell’orchestrazione e i controlli di determinismo; il lavoro è completato quando il workflow raggiunge lo stato Failed ed espone l’eccezione dell’attività senza un errore non deterministico.
Scritto dal modello di indicizzazione a partire dal testo della issue.
Valutazione
- Stack tecnologico
- azure, python
- Ambito
- backend, distributed-systems
- Tipo di issue
- Bug
- Difficoltà
- 4/5
- Tempo stimato
- 3-5 giorni
- Stato di attività
- Tranquilla
- Chiarezza
- Abbastanza chiara
- Idoneità per principianti
- 45/100