deer-flow/backend/tests/_gateway_shutdown_budget.py
Nan Gao a684ae2fe3
fix(sandbox): leave SIGTERM/SIGINT teardown to the Gateway lifespan (#7560)
* fix(sandbox): leave SIGTERM/SIGINT teardown to the Gateway lifespan

AIO and E2B providers built on the event-loop thread installed SIGTERM/SIGINT
handlers that force-destroyed every sandbox synchronously, before uvicorn
started the run drain. The Gateway lifespan now holds sandbox shutdown
ownership from its first step, so providers skip those handlers and the
existing hook closes the provider after run drain and MCP teardown. SIGHUP
keeps the provider fallback. AIO acquire now refuses once shutdown began.

* docs(sandbox): document Gateway-owned sandbox shutdown and AIO admission fence

* test(gateway): inspect the lifespan body now that lifespan wraps it

* docs(changelog): reference #7560 for the sandbox SIGTERM drain-order fix

* ci: retrigger sandbox image smoke after a registry pull timeout
2026-10-26 20:38:32 +08:00

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3.1 KiB
Python

"""Shutdown work every deployment's stop grace period must cover.
The chart's ``terminationGracePeriodSeconds`` and both compose files'
``stop_grace_period`` must outlast the Gateway's lifespan shutdown. Besides the
memory queue flush, ``app.gateway.app.lifespan`` runs several *sequential*,
individually bounded hooks around it, and ``langgraph_runtime`` drains in-flight
runs on exit. These numbers are read from the Gateway rather than copied into
the tests, so raising a drain budget or adding a bounded hook here fails the
grace-period tests instead of silently outgrowing the deployments.
"""
from __future__ import annotations
from app.gateway.deps import _RUN_DRAIN_TIMEOUT_SECONDS
from deerflow.config.memory_config import MemoryConfig
#: Teardown steps in ``app.gateway.app.lifespan`` that each wait up to
#: ``_SHUTDOWN_HOOK_TIMEOUT_SECONDS`` before proceeding. They run one after
#: another, so a pathological shutdown can spend the full budget on every one.
#: Keep this list in step with the ``asyncio.wait_for(..., timeout=
#: _SHUTDOWN_HOOK_TIMEOUT_SECONDS)`` sites in that function.
HOOKS_BOUNDED_BY_SHUTDOWN_HOOK_TIMEOUT: tuple[str, ...] = (
"startup trash sweep",
"notification delivery worker stop",
"channel service stop",
"scheduled task service stop",
"subagent batch service stop",
"browser session close",
"MCP session pool close",
)
def _app_constants() -> tuple[float, float]:
"""Return ``(_SHUTDOWN_HOOK_TIMEOUT_SECONDS, _RETRIEVAL_WARM_SHUTDOWN_TIMEOUT_SECONDS)``."""
# Importing the FastAPI module builds nothing, but it is heavy; keep it lazy.
from app.gateway.app import _RETRIEVAL_WARM_SHUTDOWN_TIMEOUT_SECONDS, _SHUTDOWN_HOOK_TIMEOUT_SECONDS
return float(_SHUTDOWN_HOOK_TIMEOUT_SECONDS), float(_RETRIEVAL_WARM_SHUTDOWN_TIMEOUT_SECONDS)
def bounded_hooks_seconds() -> float:
"""Worst case for the sequential hooks bounded by ``_SHUTDOWN_HOOK_TIMEOUT_SECONDS``."""
hook_timeout, _ = _app_constants()
return len(HOOKS_BOUNDED_BY_SHUTDOWN_HOOK_TIMEOUT) * hook_timeout
def retrieval_warm_wait_seconds() -> float:
"""Brief wait for the derived retrieval-index rebuild before the flush."""
_, retrieval_warm_timeout = _app_constants()
return retrieval_warm_timeout
def run_drain_seconds() -> float:
"""Bound on draining in-flight runs before the checkpointer is torn down."""
return float(_RUN_DRAIN_TIMEOUT_SECONDS)
def memory_flush_seconds() -> float:
"""Default ``memory.shutdown_flush_timeout_seconds``."""
return float(MemoryConfig.model_fields["shutdown_flush_timeout_seconds"].default)
def lifespan_shutdown_seconds() -> float:
"""Worst-case lifespan shutdown: every bounded hook + retrieval-warm wait + run drain + memory flush.
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. Sandbox provider shutdown is unbounded too and is not
quick: it runs one backend destroy per tracked sandbox after the run drain.
"""
return bounded_hooks_seconds() + retrieval_warm_wait_seconds() + run_drain_seconds() + memory_flush_seconds()