fix(gateway): bound subagent batch shutdown (#6434)

* fix(gateway): bound subagent batch shutdown

* test(gateway): cover bounded subagent batch shutdown

* fix(subagents): cancel batch work before stop drain

* test(subagents): pin cancellation before stop drain

* test(gateway): account for subagent shutdown budget

* docs(helm): refresh gateway shutdown budget

* docs(compose): refresh gateway shutdown budget

* docs(compose): correct gateway shutdown total

---------

Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
This commit is contained in:
NanPan 2026-10-08 09:55:54 +08:00 committed by GitHub
parent 4946b29d03
commit fa3bb438c9
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6 changed files with 128 additions and 20 deletions

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@ -416,6 +416,27 @@ async def _shutdown_scheduled_task_service(app: FastAPI) -> None:
logger.exception("Failed to stop scheduled task service")
async def _shutdown_subagent_batch_service(app: FastAPI) -> None:
"""Bound durable subagent batch stop so Gateway exit cannot hang forever."""
service = getattr(app.state, "subagent_batch_service", None)
if service is None:
return
app.state.subagent_batches_available = False
try:
await asyncio.wait_for(service.stop(), timeout=_SHUTDOWN_HOOK_TIMEOUT_SECONDS)
except TimeoutError:
logger.warning(
"Subagent batch service shutdown exceeded %.1fs; proceeding with worker exit.",
_SHUTDOWN_HOOK_TIMEOUT_SECONDS,
)
except Exception:
logger.exception("Failed to stop subagent batch service")
finally:
from deerflow.subagents.batch_runtime import set_subagent_batch_submitter
set_subagent_batch_submitter(None)
def _scheduled_task_notification_repos(startup_config: AppConfig):
"""Return ``(connection_repo, notification_repo)`` for the scheduled-run outbox (issue #4254).
@ -848,16 +869,7 @@ async def lifespan(app: FastAPI) -> AsyncGenerator[None, None]:
set_mcp_task_config_snapshot(None)
if getattr(app.state, "subagent_batch_service", None) is not None:
app.state.subagent_batches_available = False
try:
await app.state.subagent_batch_service.stop()
except Exception:
logger.exception("Failed to stop subagent batch service")
finally:
from deerflow.subagents.batch_runtime import set_subagent_batch_submitter
set_subagent_batch_submitter(None)
await _shutdown_subagent_batch_service(app)
# Browser sessions have their own bounded teardown. MCP sessions close
# after the runtime drains runs, since those runs may still call tools.

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@ -77,15 +77,23 @@ class SubagentBatchService:
self._stop.set()
poller = self._poller
self._poller = None
if poller is not None:
poller.cancel()
await asyncio.gather(poller, return_exceptions=True)
# Issue every owned-work cancellation before the first await. The
# Gateway wraps this stop hook in a deadline; if poller teardown is
# slow, cancellation of this coroutine must not prevent native/item
# cancellation from being requested.
execution_ids = list(self._execution_ids.values())
for execution_id in execution_ids:
request_cancel_background_task(execution_id)
tasks = list(self._executions.values())
if poller is not None:
poller.cancel()
for task in tasks:
task.cancel()
if poller is not None:
await asyncio.gather(poller, return_exceptions=True)
if tasks:
await asyncio.gather(*tasks, return_exceptions=True)
self._executions.clear()

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@ -24,6 +24,7 @@ HOOKS_BOUNDED_BY_SHUTDOWN_HOOK_TIMEOUT: tuple[str, ...] = (
"notification delivery worker stop",
"channel service stop",
"scheduled task service stop",
"subagent batch service stop",
"browser session close",
"MCP session pool close",
)
@ -62,8 +63,8 @@ def memory_flush_seconds() -> float:
def lifespan_shutdown_seconds() -> float:
"""Worst-case lifespan shutdown: every bounded hook + retrieval-warm wait + run drain + memory flush.
Unbounded steps (OIDC close, MCP/subagent task-service stops, backend close)
are expected to be quick and are not modeled; deployments keep slack on top
of this figure for them.
Unbounded steps (OIDC close, MCP task-service stop, backend close) are
expected to be quick and are not modeled; deployments keep slack on top of
this figure for them.
"""
return bounded_hooks_seconds() + retrieval_warm_wait_seconds() + run_drain_seconds() + memory_flush_seconds()

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@ -0,0 +1,86 @@
from __future__ import annotations
import asyncio
import inspect
import logging
from unittest.mock import AsyncMock, MagicMock
import pytest
from fastapi import FastAPI
from app.gateway import app as gateway_app
from deerflow.subagents import batch_service as batch_service_module
from deerflow.subagents.batch_service import SubagentBatchService
@pytest.mark.asyncio
async def test_subagent_batch_service_shutdown_is_bounded(
monkeypatch: pytest.MonkeyPatch,
caplog: pytest.LogCaptureFixture,
) -> None:
async def hang() -> None:
await asyncio.sleep(3600)
app = FastAPI()
service = MagicMock()
service.stop = AsyncMock(side_effect=hang)
app.state.subagent_batch_service = service
app.state.subagent_batches_available = True
monkeypatch.setattr(gateway_app, "_SHUTDOWN_HOOK_TIMEOUT_SECONDS", 0.01)
started = asyncio.get_running_loop().time()
with caplog.at_level(logging.WARNING, logger="app.gateway.app"):
await gateway_app._shutdown_subagent_batch_service(app)
elapsed = asyncio.get_running_loop().time() - started
assert elapsed < 0.5
assert app.state.subagent_batches_available is False
service.stop.assert_awaited_once()
assert "Subagent batch service shutdown exceeded" in caplog.text
def test_lifespan_uses_bounded_subagent_batch_shutdown() -> None:
source = inspect.getsource(gateway_app.lifespan)
assert "await _shutdown_subagent_batch_service(app)" in source
@pytest.mark.asyncio
async def test_batch_stop_requests_owned_cancellation_before_poller_drain(
monkeypatch: pytest.MonkeyPatch,
) -> None:
release_poller = asyncio.Event()
poller_cancelled = asyncio.Event()
requested: list[str] = []
async def slow_poller() -> None:
try:
await asyncio.sleep(3600)
except asyncio.CancelledError:
poller_cancelled.set()
await release_poller.wait()
async def item_work() -> None:
await asyncio.sleep(3600)
service = SubagentBatchService.__new__(SubagentBatchService)
service._stop = asyncio.Event()
service._poller = asyncio.create_task(slow_poller())
item_task = asyncio.create_task(item_work())
service._executions = {"item-1": item_task}
service._execution_ids = {"item-1": "execution-1"}
service._item_batches = {"item-1": "batch-1"}
monkeypatch.setattr(
batch_service_module,
"request_cancel_background_task",
requested.append,
)
stop_task = asyncio.create_task(service.stop())
await poller_cancelled.wait()
assert requested == ["execution-1"]
assert item_task.cancelled() or item_task.cancelling()
release_poller.set()
await stop_task

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@ -277,7 +277,7 @@ kubectl -n deer-flow exec deploy/deer-flow-provisioner -- curl -s localhost:8002
`%40`). The chart uses an external `databaseUrl` verbatim and does not
rewrite the DSN in a user-managed Secret.
- **Graceful shutdown & memory drain.** The gateway pod sets `terminationGracePeriodSeconds` (default 90s, overridable via `gateway.terminationGracePeriodSeconds`) plus an optional `preStop` sleep (`gateway.preStopSleepSeconds`, default 5s), and bounds uvicorn's `--timeout-graceful-shutdown` (`gateway.uvicornGracefulShutdownSeconds`, default 10s) so an idle SSE connection cannot hold up lifespan shutdown indefinitely. The grace period MUST exceed the Gateway's graceful-shutdown work — the preStop sleep, the uvicorn timeout, and the lifespan's worst case: six hooks bounded at 5s each (startup trash sweep, notification delivery worker, channel service, scheduled task service, browser sessions, MCP session pool), the 1s retrieval-warm wait, the in-flight run drain (5s) and the memory-queue drain (`memory.shutdown_flush_timeout_seconds`, default 30s), about 66s in total, plus a buffer — because the drain runs on a daemon thread and K8s SIGKILLs anything still running at the end of the grace window. K8s defaults to 30s, which SIGKILLs the drain mid-flight and silently re-introduces the memory loss the drain is fixing. `backend/tests/_gateway_shutdown_budget.py` reads these bounds from the Gateway and pins the chart and compose budgets against them. **When you raise `memory.shutdown_flush_timeout_seconds`, raise `gateway.terminationGracePeriodSeconds` to match** (preStop + uvicorn timeout + ~36s of bounded hooks and drains + memory drain + buffer).
- **Graceful shutdown & memory drain.** The gateway pod sets `terminationGracePeriodSeconds` (default 90s, overridable via `gateway.terminationGracePeriodSeconds`) plus an optional `preStop` sleep (`gateway.preStopSleepSeconds`, default 5s), and bounds uvicorn's `--timeout-graceful-shutdown` (`gateway.uvicornGracefulShutdownSeconds`, default 10s) so an idle SSE connection cannot hold up lifespan shutdown indefinitely. The grace period MUST exceed the Gateway's graceful-shutdown work — the preStop sleep, the uvicorn timeout, and the lifespan's worst case: seven hooks bounded at 5s each (startup trash sweep, notification delivery worker, channel service, scheduled task service, subagent batch service, browser sessions, MCP session pool), the 1s retrieval-warm wait, the in-flight run drain (5s) and the memory-queue drain (`memory.shutdown_flush_timeout_seconds`, default 30s), about 71s in total, plus a buffer — because the drain runs on a daemon thread and K8s SIGKILLs anything still running at the end of the grace window. K8s defaults to 30s, which SIGKILLs the drain mid-flight and silently re-introduces the memory loss the drain is fixing. `backend/tests/_gateway_shutdown_budget.py` reads these bounds from the Gateway and pins the chart and compose budgets against them. **When you raise `memory.shutdown_flush_timeout_seconds`, raise `gateway.terminationGracePeriodSeconds` to match** (preStop + uvicorn timeout + ~41s of bounded hooks and drains + memory drain + buffer).
- **Gateway replicas.** Run control is cross-pod-safe since the work tracked
by [issue #3948](https://github.com/bytedance/deer-flow/issues/3948) landed
(#4003, #4064, #4500): admission is a durable one-active-run-per-thread

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@ -124,11 +124,12 @@ services:
# QR login and browser tools stay worker-local, so keep one worker while
# they are enabled. --timeout-graceful-shutdown bounds how long open SSE
# connections may delay lifespan shutdown after SIGTERM; stop_grace_period
# below must cover that bound plus the lifespan's worst case: five hooks
# below must cover that bound plus the lifespan's worst case: seven hooks
# bounded at 5s each (trash sweep, notification worker, channel service,
# browser sessions, MCP session pool), the 1s retrieval-warm wait, the 5s
# scheduled task service, subagent batch service, browser sessions,
# MCP session pool), the 1s retrieval-warm wait, the 5s
# run drain and the 30s memory flush (memory.shutdown_flush_timeout_seconds)
# -- about 61s -- plus slack. backend/tests/_gateway_shutdown_budget.py
# -- about 71s -- plus slack. backend/tests/_gateway_shutdown_budget.py
# pins the arithmetic.
command: sh -c "cd backend && PYTHONPATH=. uv run --no-sync uvicorn app.gateway.app:app --host 0.0.0.0 --port 8001 --workers ${GATEWAY_WORKERS:-1} --timeout-graceful-shutdown 10"
# Docker's 10s default SIGKILLed the 30s memory queue flush