deer-flow/backend/tests/test_gateway_run_drain_shutdown.py
Nan Gao 7389331e65
feat(extensions): observe task lifecycle and system model calls (#4684)
* feat(extensions): observe task lifecycle and system model calls

PR 1 (#4636) gave extensions a middleware chain, and a middleware only sees
what passes through the agent graph. Two runtime surfaces stay invisible to
it: when a lead run or a subagent begins and ends, and the DeerFlow-owned
model calls made outside the graph. This slice adds both, with no new
Gateway surface -- routers, services, and the reference extension stay in
PR 3.

Contract (deerflow-extension-api 0.1.1)
---------------------------------------
Two contribution kinds join `middlewares` on the registry:
`task_lifecycle` (`on_task_start` / `on_task_stop`, receiving a `TaskInfo`
and a conservative `TaskOutcome` of completed / aborted / failed) and
`system_model_observer` (`on_system_model_call`, receiving a
`SystemOperationKind`, a `SystemModelRequest` snapshot, and a
`SystemModelResult` carrying either the response or the provider exception
plus a duration).

`SystemModelRequest.messages` normalizes to a tuple at construction. Goal
evaluation and memory extraction pass a message list while title generation
and summarization pass one prompt string, and a bare `str` already satisfies
`Sequence` -- without normalization an observer iterating `request.messages`
would silently walk characters. Copying also makes the frozen snapshot
immutable in fact rather than only by declaration, since observations may run
after the call site returns and keeps mutating its own list.

Registry marks and rollbacks become per-bucket and positional, so an
`install()` that fails after registering two different kinds cannot leave one
of them behind. `needs_task_store` now covers all three kinds: a deployment
that registers only lifecycle hooks still gets a task store.

Task lifecycle
--------------
The lead worker notifies start after the run has started and stop after
completion persistence and the completion hook, but before clearing the
finalizing barrier and publishing the stream end -- holding the barrier
across stop is what keeps a same-thread replacement run from overlapping this
task's lifecycle. Cancellation raised out of the stop notification is
deferred, not propagated in place, so a cancelled run still clears the
barrier and emits its end frame. A subagent with a parent `run_id` wraps its
execution in the same pair inside `finally`, reporting `parent_task_id` so a
delegation tree is reconstructable; a subagent without a `run_id` (embedded
client, standalone LangGraph Server) logs and skips rather than inventing a
parent. Contributors run in registration order inside one shared 3s budget
and every failure is logged and failed open.

System model calls
------------------
Four kinds cover the model calls the middleware chain cannot see: goal
evaluation, memory extraction, title generation, and summarization. Each site
reports both terminal paths without changing the provider exception the host
observes, short-circuits on `has_system_model_observers`, and passes the live
task store when the runtime has one (detached work gets an isolated store).
The sync summarization half stays unobserved on purpose -- it and its only
host caller are the sync side of an async-only runtime, so notifying there
would block a thread on a call site the host never reaches; the reason is
recorded at the call site.

The DeerMem backend must stay vendorable and cannot import the extension API,
so it reports through a new `MemoryCallbacks.on_memory_llm_result` host hook
that the DeerFlow-side callbacks translate into an observation.

Notification loop
-----------------
Extension resources must be touched on the loop that created them, but
subagents can execute on isolated loops and DeerMem runs on a worker thread.
The Gateway registers its serving loop before any runtime dependency starts
and resets it last through the exit stack, so every startup-failure and
cancellation path is covered. Awaited hooks raised on another loop are
dispatched across with `run_coroutine_threadsafe` and awaited under the same
budget; synchronous sites submit fire-and-forget work. Shutdown stops
accepting detached observations before the memory flush -- that flush runs on
a worker thread and can emit memory observations -- while keeping the loop
alive for awaited task hooks until run and subagent drain completes.

Tests
-----
`test_extension_task_lifecycle.py`, `test_extension_subagent_lifecycle.py`,
and `test_extension_system_model_calls.py` cover ordering, fail-open, budget
exhaustion, snapshot binding under a concurrent singleton replacement, the
loop-dispatch and shutdown-suspension paths, and both terminal paths at every
call site. `test_gateway_run_drain_shutdown.py` pins the stop-before-barrier
and drain ordering.

* fix(extensions): decide notification fail-open by origin, observe cancellation

`_notify_each` only guarded `Exception`, so a contributor letting a
`CancelledError` escape — an extension implementing an internal timeout with
cancellation, say — skipped its successors and reached the worker's
deferred-interrupt path, ending an otherwise successful run as cancelled.
Fail-open is about where a failure came from, not its base class: only a
genuine cancellation of the host task increments `Task.cancelling()`, so
propagate on that and contain everything else. `KeyboardInterrupt` /
`SystemExit` still propagate.

`observe_system_model_call` skipped observers on cancellation for the same
base-class reason, leaving goal / title / summarization silent on a terminal
path that is routine — interrupt/rollback admission and shutdown both cancel
the run task, with the provider tokens already spent. Awaiting observers there
is unreliable (a repeated cancel interrupts that await before any of them
runs), so report through the same non-blocking submission the synchronous
memory bridge uses, then propagate the cancellation untouched.

DeerMem keeps `BaseException` around its provider call, now with the reason
recorded: that path runs on a worker thread, where cancelling the awaiting
side never interrupts the running thread, so `CancelledError` cannot arrive
at all. Its host-hook wrapper narrows to `Exception` — only the hook's own
failures are non-fatal, and an observability path must not swallow a process
teardown signal.

* fix(extensions): warn on budget exhaustion, scope observer logs by task, propagate teardown

Review response on #4684:

- The memory observation bridge caught BaseException, which would swallow
  a teardown signal raised while dispatching; it now catches Exception,
  matching the boundary the DeerMem-side call site documents and tests.
- A notification-budget timeout raised mid-hook fell into the generic
  hook-failure path and logged an asyncio-internal traceback; it now logs
  a warning like the pre-hook budget skip, while a TimeoutError a
  contributor raises on its own stays classified as a hook failure.
- System model observer logs passed the operation kind as the task id,
  so log lines said "task goal/title/..."; they now carry the task
  scope id alongside the kind.
2026-08-11 16:33:22 +08:00

407 lines
15 KiB
Python

"""Regression tests for graceful run-task drain on Gateway shutdown.
Guards bytedance/deer-flow issue #3373:
psycopg_pool.PoolClosed: the pool 'pool-1' is already closed
Root cause: chat runs are fire-and-forget background ``asyncio`` tasks
(``app/gateway/services.py`` -> ``asyncio.create_task(run_agent(...))``) owned
by nobody. On shutdown, ``langgraph_runtime``'s ``AsyncExitStack`` tore down the
checkpointer's postgres pool while those tasks were still mid-graph. langgraph's
``AsyncPregelLoop._checkpointer_put_after_previous`` then ran its
``finally: await checkpointer.aput(...)`` against the already-closed pool.
Fix: ``RunManager.shutdown()`` cancels and *bounded*-awaits every in-flight run,
and ``langgraph_runtime`` calls it BEFORE the ``AsyncExitStack`` closes the
checkpointer — so the final checkpoint write lands while the pool is still open.
The drain must stay bounded (a stuck run must not hang the worker, the
precondition for the signal-reentrancy deadlock guarded by
``app.gateway.app._SHUTDOWN_HOOK_TIMEOUT_SECONDS``).
"""
from __future__ import annotations
import asyncio
import operator
from contextlib import asynccontextmanager, suppress
from types import SimpleNamespace
from typing import Annotated, TypedDict
import pytest
from langgraph.checkpoint.memory import InMemorySaver
from deerflow.runtime import RunManager, RunStatus
# Module-level so langgraph's get_type_hints (which resolves annotations against
# module globals under `from __future__ import annotations`) can see Annotated.
class _CountState(TypedDict):
count: Annotated[int, operator.add]
class _CloseableSaver(InMemorySaver):
"""InMemorySaver that fails writes once closed, like a closed pool."""
def __init__(self) -> None:
super().__init__()
self._closed = False
self.writes_after_close: list[str] = []
def close(self) -> None:
self._closed = True
async def aput(self, *args, **kwargs):
if self._closed:
self.writes_after_close.append("aput")
raise RuntimeError("checkpointer is closed")
return await super().aput(*args, **kwargs)
async def aput_writes(self, *args, **kwargs):
if self._closed:
self.writes_after_close.append("aput_writes")
raise RuntimeError("checkpointer is closed")
return await super().aput_writes(*args, **kwargs)
@pytest.mark.asyncio
async def test_shutdown_cancels_and_awaits_inflight_run():
"""shutdown() cancels the in-flight task, waits for it, marks it interrupted."""
rm = RunManager()
record = await rm.create("t-drain")
await rm.set_status(record.run_id, RunStatus.running)
started = asyncio.Event()
cancelled = asyncio.Event()
async def worker() -> None:
try:
started.set()
await asyncio.Event().wait()
except asyncio.CancelledError:
cancelled.set()
raise
record.task = asyncio.create_task(worker())
try:
await asyncio.wait_for(started.wait(), timeout=1.0)
await rm.shutdown(timeout=5.0)
assert record.task.done()
assert cancelled.is_set()
assert record.status == RunStatus.interrupted
finally:
if not record.task.done():
record.task.cancel()
with suppress(asyncio.CancelledError):
await record.task
@pytest.mark.asyncio
async def test_shutdown_is_bounded_when_run_ignores_cancellation():
"""A run that swallows cancellation must not make shutdown() hang."""
rm = RunManager()
record = await rm.create("t-stubborn")
await rm.set_status(record.run_id, RunStatus.running)
started = asyncio.Event()
stop = asyncio.Event()
async def stubborn() -> None:
started.set()
while not stop.is_set():
try:
await asyncio.sleep(3600)
except asyncio.CancelledError:
if stop.is_set():
raise
# else: swallow — simulates a run stuck in slow cleanup
record.task = asyncio.create_task(stubborn())
try:
await asyncio.wait_for(started.wait(), timeout=1.0)
loop = asyncio.get_running_loop()
t0 = loop.time()
await rm.shutdown(timeout=0.3)
elapsed = loop.time() - t0
assert elapsed < 2.0, f"shutdown took {elapsed:.2f}s; drain is not bounded"
finally:
# cleanup the deliberately-stubborn task
stop.set()
record.task.cancel()
with suppress(asyncio.CancelledError):
await record.task
@pytest.mark.asyncio
async def test_shutdown_is_noop_without_inflight_runs():
"""shutdown() on an idle manager completes cleanly and is idempotent."""
rm = RunManager()
await rm.shutdown(timeout=1.0)
# already-finished runs must not be re-cancelled or error out
record = await rm.create("t-done")
await rm.set_status(record.run_id, RunStatus.success)
await rm.shutdown(timeout=1.0)
@pytest.mark.asyncio
async def test_langgraph_runtime_drains_runs_before_closing_checkpointer(monkeypatch):
"""The wiring order lock for #3373: drain in-flight runs, THEN close the pool.
Patches every ``langgraph_runtime`` collaborator down to trivial stand-ins so
only the bootstrap/teardown ordering runs. The checkpointer probe records when
its context manager exits (pool close); a ``RunManager.shutdown`` spy records
when the drain happens. The drain MUST come first.
"""
from fastapi import FastAPI
from app.gateway.deps import langgraph_runtime
events: list[str] = []
@asynccontextmanager
async def probe_checkpointer(_config):
try:
yield object()
finally:
events.append("checkpointer_closed")
@asynccontextmanager
async def fake_stream_bridge(_config):
yield object()
@asynccontextmanager
async def fake_store(_config):
yield object()
async def fake_init_engine(_db):
return None
async def fake_close_engine():
return None
async def spy_shutdown(self, *, timeout): # noqa: ANN001
events.append("runs_drained")
def spy_set_extension_notify_loop(loop): # noqa: ANN001
assert loop is asyncio.get_running_loop()
events.append("extension_loop_set")
def spy_reset_extension_notify_loop():
events.append("extension_loop_reset")
monkeypatch.setattr("deerflow.runtime.checkpointer.async_provider.make_checkpointer", probe_checkpointer)
monkeypatch.setattr("deerflow.runtime.make_stream_bridge", fake_stream_bridge)
monkeypatch.setattr("deerflow.runtime.make_store", fake_store)
monkeypatch.setattr("deerflow.persistence.engine.init_engine_from_config", fake_init_engine)
monkeypatch.setattr("deerflow.persistence.engine.close_engine", fake_close_engine)
monkeypatch.setattr("deerflow.persistence.engine.get_session_factory", lambda: None)
monkeypatch.setattr("deerflow.runtime.events.store.make_run_event_store", lambda _cfg: object())
monkeypatch.setattr("deerflow.persistence.thread_meta.make_thread_store", lambda _sf, _store: object())
monkeypatch.setattr(RunManager, "shutdown", spy_shutdown, raising=False)
monkeypatch.setattr("deerflow.extensions.notify.set_extension_notify_loop", spy_set_extension_notify_loop)
monkeypatch.setattr("deerflow.extensions.notify.reset_extension_notify_loop", spy_reset_extension_notify_loop)
app = FastAPI()
startup_config = SimpleNamespace(database=SimpleNamespace(backend="memory", checkpoint_channel_mode="full", checkpoint_delta=SimpleNamespace(snapshot_frequency=10)), run_events=None)
async with langgraph_runtime(app, startup_config):
pass
assert "runs_drained" in events, "langgraph_runtime never drained in-flight runs on shutdown"
assert "checkpointer_closed" in events
assert events.index("runs_drained") < events.index("checkpointer_closed"), f"runs must be drained before the checkpointer pool is closed; got order {events}"
assert events[0] == "extension_loop_set"
assert events.index("checkpointer_closed") < events.index("extension_loop_reset"), f"extension loop reset must be the final runtime teardown; got order {events}"
@pytest.mark.asyncio
@pytest.mark.parametrize("startup_error", [RuntimeError("startup failed"), asyncio.CancelledError()])
async def test_langgraph_runtime_resets_extension_loop_when_startup_exits_early(monkeypatch, startup_error):
"""A partial startup must not leave a stale process-wide loop binding."""
from fastapi import FastAPI
from app.gateway.deps import langgraph_runtime
events: list[str] = []
@asynccontextmanager
async def failing_stream_bridge(_config):
raise startup_error
yield # pragma: no cover - makes this an async context manager
def spy_set_extension_notify_loop(loop): # noqa: ANN001
assert loop is asyncio.get_running_loop()
events.append("extension_loop_set")
def spy_reset_extension_notify_loop():
events.append("extension_loop_reset")
monkeypatch.setattr("deerflow.runtime.make_stream_bridge", failing_stream_bridge)
monkeypatch.setattr("deerflow.extensions.notify.set_extension_notify_loop", spy_set_extension_notify_loop)
monkeypatch.setattr("deerflow.extensions.notify.reset_extension_notify_loop", spy_reset_extension_notify_loop)
app = FastAPI()
startup_config = SimpleNamespace(
database=SimpleNamespace(
backend="memory",
checkpoint_channel_mode="full",
checkpoint_delta=SimpleNamespace(snapshot_frequency=10),
),
)
with pytest.raises(type(startup_error)):
async with langgraph_runtime(app, startup_config):
pass
assert events == ["extension_loop_set", "extension_loop_reset"]
@pytest.mark.asyncio
async def test_drain_flushes_real_graph_checkpoint_before_close():
"""End-to-end #3373 guard with a REAL langgraph graph + checkpointer.
A real run is driven through ``graph.astream`` in a background task, then
``RunManager.shutdown()`` drains it. The checkpointer raises once closed
(mirroring ``psycopg_pool.PoolClosed``). Closing only happens AFTER the
drain — as the gateway's AsyncExitStack does. The drain must let langgraph
flush its final checkpoint while the checkpointer is still open, so no write
lands against a closed checkpointer.
Unlike the unit/spy tests above, this exercises the real langgraph
checkpoint-put machinery, so a future langgraph change that cancels (rather
than awaits) its checkpoint-put task on executor exit would fail this test
instead of silently regressing #3373.
"""
from langgraph.graph import END, START, StateGraph
async def slow(_state: _CountState) -> dict:
await asyncio.sleep(0.1)
return {"count": 1}
saver = _CloseableSaver()
builder = StateGraph(_CountState)
for name in ("a", "b", "c"):
builder.add_node(name, slow)
builder.add_edge(START, "a")
builder.add_edge("a", "b")
builder.add_edge("b", "c")
builder.add_edge("c", END)
graph = builder.compile(checkpointer=saver)
rm = RunManager()
record = await rm.create("t-e2e")
await rm.set_status(record.run_id, RunStatus.running)
thread_cfg = {"configurable": {"thread_id": "t-e2e"}}
started = asyncio.Event()
async def run() -> None:
started.set()
async for _ in graph.astream({"count": 0}, config=thread_cfg):
pass
record.task = asyncio.create_task(run())
try:
await asyncio.wait_for(started.wait(), timeout=1.0)
# Deterministically wait until the run is genuinely in-flight — poll for
# the first persisted checkpoint instead of a fixed sleep (avoids CI
# flakiness on slow runners / under event-loop contention).
async def _await_first_checkpoint() -> None:
while (await saver.aget_tuple(thread_cfg)) is None:
await asyncio.sleep(0.01)
await asyncio.wait_for(_await_first_checkpoint(), timeout=5.0)
# The fix: drain while the checkpointer is still open ...
await rm.shutdown(timeout=5.0)
# ... and only then close it (mirrors langgraph_runtime's ExitStack).
saver.close()
assert saver.writes_after_close == [], f"a checkpoint write raced a closed checkpointer: {saver.writes_after_close}"
# The final checkpoint landed before close.
snapshot = await saver.aget_tuple(thread_cfg)
assert snapshot is not None
finally:
if not record.task.done():
record.task.cancel()
with suppress(asyncio.CancelledError):
await record.task
@pytest.mark.asyncio
async def test_shutdown_preserves_status_of_run_completed_during_drain():
"""A run that finishes (e.g. success) during the drain window must keep its
real terminal status — shutdown must not blanket-overwrite it to
``interrupted`` in memory or in the store (Copilot review on PR #3381)."""
from deerflow.runtime.runs.store.memory import MemoryRunStore
store = MemoryRunStore()
rm = RunManager(store=store)
record = await rm.create("t-complete")
await rm.set_status(record.run_id, RunStatus.running)
async def worker() -> None:
try:
await asyncio.Event().wait()
except asyncio.CancelledError:
# The run had effectively finished; swallow the cancellation and
# record success, like a run that completed in the same tick the
# shutdown cancelled it.
pass
await rm.set_status(record.run_id, RunStatus.success)
record.task = asyncio.create_task(worker())
try:
await asyncio.sleep(0) # let the task reach its await point
await rm.shutdown(timeout=5.0)
assert record.status == RunStatus.success, f"shutdown overwrote in-memory status: {record.status}"
persisted = await store.get(record.run_id)
assert persisted is not None and persisted["status"] == "success", f"shutdown overwrote persisted status: {persisted}"
finally:
if not record.task.done():
record.task.cancel()
with suppress(asyncio.CancelledError):
await record.task
@pytest.mark.asyncio
async def test_shutdown_surfaces_failed_interrupted_persist(caplog):
"""A failed interrupted-status persist during the drain must be surfaced (with
the run_id), not silently swallowed by the gather (maintainer review on
PR #3381)."""
import logging
from deerflow.runtime.runs.store.memory import MemoryRunStore
class _FailingStore(MemoryRunStore):
async def update_status(self, *args, **kwargs):
raise RuntimeError("store unavailable")
rm = RunManager(store=_FailingStore())
record = await rm.create("t-failpersist")
record.status = RunStatus.running # set in memory; the failing store is exercised by the drain
started = asyncio.Event()
async def worker() -> None:
started.set()
await asyncio.Event().wait() # blocks until cancelled by the drain
record.task = asyncio.create_task(worker())
try:
await asyncio.wait_for(started.wait(), timeout=1.0)
with caplog.at_level(logging.WARNING, logger="deerflow.runtime.runs.manager"):
await rm.shutdown(timeout=5.0)
assert "Could not persist interrupted status for run" in caplog.text, caplog.text
finally:
if not record.task.done():
record.task.cancel()
with suppress(asyncio.CancelledError):
await record.task