deer-flow/backend/tests/test_gateway_lifespan_shutdown.py
Xinmin Zeng f2e832330e
fix(sandbox): enforce disabled skills in filesystem views (#4178)
* fix(sandbox): project enabled skills into sandbox views

* fix(skills): keep projection mutations consistent

* fix(skills): fail closed on projection errors

* fix(skills): isolate per-scope failures during boot projection rebuild

rebuild_all_skill_projections() propagated any exception from the public
rebuild or from a single user's rebuild straight out of the gateway
lifespan startup, uncaught. A single broken user directory (bad
permissions, corrupted _skill_states.json, unreadable content) would
therefore abort gateway boot for every user, not just that one -
_rebuild_*_locked already fails closed internally (clears the view and
re-raises), so the boot loop only needed to stop treating that re-raise
as fatal.

Each scope's rebuild now fails closed independently and boot continues;
a scope left empty by a boot failure self-heals on the next sandbox
acquire via ensure_skill_projections().

Also patches deerflow.skills.projection.rebuild_all_skill_projections in
the memory-flush lifespan test fixture, matching the two sibling
fixtures in the same file — this call is now on the lifespan startup
path and the fixture's minimal SimpleNamespace config predates it.

* test(skills): update authz test for the projection-aware public toggle

_persist_shared_skill_state (introduced earlier in this branch) reads
the shared extensions_config.json fresh from disk under the projection
lock instead of through the cached get_extensions_config() singleton -
that's the whole point of the fix (stale worker caches must not clobber
another worker's concurrent update). The name no longer exists on the
skills router module, so the test's monkeypatch of it started raising
AttributeError instead of exercising the endpoint.

The mock storage in this test isn't a real LocalSkillStorage instance,
so _persist_shared_skill_state's projection-mutation branch is already
skipped (nullcontext) and it falls back to a fresh ExtensionsConfig()
for the nonexistent tmp config_path - no replacement monkeypatch needed.

* fix(sandbox): make skill projection ensure best-effort in acquire

acquire() called _ensure_skills_projection() directly, outside any
try/except, in both LocalSandboxProvider and AioSandboxProvider. Every
other skill-mount setup path in these providers has always caught
exceptions and logged a warning rather than failing sandbox acquire
outright (e.g. when config.yaml can't be resolved) - these two new call
sites broke that contract, so any projection failure (including simply
not having a config.yaml, as in CI's test environment) now failed
acquire() itself instead of just leaving skill mounts off.

_ensure_skills_projection now catches its own exceptions and returns
None; both providers' callers already tolerate that (a None projection
skips the skill-specific mounts, matching the existing degrade path)
after making _append_public_skill_mapping and the custom/legacy mount
block in LocalSandboxProvider explicitly None-safe.

Caught by running the full suite with config.yaml removed, matching
CI's environment - not caught locally because a real config.yaml was
present, masking the failure.

* fix(sandbox): make E2B skill projection mounts best-effort

_skill_projection_mounts called ensure_skill_projections with no guard,
unlike Local/AIO's _ensure_skills_projection. A raise propagated out of
_apply_mounts before the configured-mounts loop ran, so a skills
projection failure dropped the operator's own configured mounts too -
only caught by create()'s outer warning, with nothing applied at all.

Swallow here and return an empty mount list on failure, matching the
Local/AIO pattern: still fail-closed for skills, but no longer widens
the blast radius to unrelated configured mounts.

Review feedback from PR #4178.

* docs(skills): document projection trade-offs flagged in review

- _update_tree_digest: note the metadata-only (not content) hashing
  trade-off and why runtime writes through this codebase are still
  covered regardless (rebuild-under-lock + rename always changes inode).
- LocalSandboxProvider.acquire: note the acquire-time self-heal cost
  (cheap on a fresh manifest, ~400ms rebuild under lock on stale/drift).
- skill_projection_mutation: drop the no-op except-Exception-then-raise;
  a raise from the mutation already propagates past the yield with the
  view left cleared, no explicit re-raise needed.
- provisioner README: spell out that hostPath skills volumes require
  the gateway and K8s node to share DEER_FLOW_HOST_BASE_DIR (single-node
  or shared storage), and that the custom/legacy volumes' hostPath type
  Directory (not DirectoryOrCreate) makes a violation of that assumption
  a visible Pod-creation failure instead of a silent empty mount.

Review feedback from PR #4178.

* fix(skills): lazily repair user projections

* fix(skills): close projection review gaps

* fix(skills): refresh user projection enable state

* fix(skills): close projection review follow-ups

* fix(skills): preserve state across projection writes

---------

Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
2026-07-31 17:55:24 +08:00

383 lines
16 KiB
Python

"""Regression tests for Gateway lifespan shutdown.
These tests guard the invariant that lifespan shutdown is *bounded*: a
misbehaving channel whose ``stop()`` blocks forever must not keep the
uvicorn worker alive. A hung worker is the precondition for the
signal-reentrancy deadlock described in
``app.gateway.app._SHUTDOWN_HOOK_TIMEOUT_SECONDS``.
"""
from __future__ import annotations
import asyncio
import logging
import threading
from contextlib import asynccontextmanager
from types import SimpleNamespace
from unittest.mock import AsyncMock, MagicMock, patch
from fastapi import FastAPI
@asynccontextmanager
async def _noop_langgraph_runtime(_app, _startup_config):
yield
async def _run_lifespan_with_hanging_stop() -> float:
"""Drive the lifespan context with stop_channel_service hanging forever.
Returns the elapsed wall-clock seconds.
"""
from app.gateway.app import _SHUTDOWN_HOOK_TIMEOUT_SECONDS, lifespan
async def hang_forever() -> None:
await asyncio.sleep(3600)
app = FastAPI()
startup_config = MagicMock()
startup_config.log_level = "INFO"
# Keep this test focused on the channel-hang timing: skip the memory drain.
startup_config.memory.enabled = False
startup_config.memory.shutdown_flush_timeout_seconds = 5.0
fake_service = MagicMock()
fake_service.get_status = MagicMock(return_value={})
async def fake_start(_startup_config, **_kwargs):
return fake_service
close_oidc_service = AsyncMock()
with (
patch("app.gateway.app.get_app_config", return_value=startup_config),
patch("app.gateway.app.get_gateway_config", return_value=MagicMock(host="x", port=0)),
patch("app.gateway.app.langgraph_runtime", _noop_langgraph_runtime),
patch("deerflow.skills.projection.ensure_public_skill_projection"),
patch("app.gateway.app.auth.close_oidc_service", close_oidc_service),
patch("app.channels.service.start_channel_service", side_effect=fake_start),
patch("app.channels.service.stop_channel_service", side_effect=hang_forever),
patch("deerflow.agents.memory.get_memory_manager", return_value=MagicMock()),
):
loop = asyncio.get_event_loop()
start = loop.time()
async with lifespan(app):
pass
elapsed = loop.time() - start
close_oidc_service.assert_awaited_once()
assert _SHUTDOWN_HOOK_TIMEOUT_SECONDS < 30.0, "Timeout constant must stay modest"
return elapsed
def test_shutdown_is_bounded_when_channel_stop_hangs():
"""Lifespan exit must complete near the configured timeout, not hang."""
from app.gateway.app import _SHUTDOWN_HOOK_TIMEOUT_SECONDS
elapsed = asyncio.run(_run_lifespan_with_hanging_stop())
# Generous upper bound: timeout + 2s slack for scheduling overhead.
assert elapsed < _SHUTDOWN_HOOK_TIMEOUT_SECONDS + 2.0, f"Lifespan shutdown took {elapsed:.2f}s; expected <= {_SHUTDOWN_HOOK_TIMEOUT_SECONDS + 2.0:.1f}s"
# Lower bound: the wait_for should actually have waited.
assert elapsed >= _SHUTDOWN_HOOK_TIMEOUT_SECONDS - 0.5, f"Lifespan exited too quickly ({elapsed:.2f}s); wait_for may not have been invoked."
async def _run_lifespan_with_upload_staging_cleanup():
from app.gateway.app import lifespan
app = FastAPI()
startup_config = SimpleNamespace(log_level="INFO", memory=SimpleNamespace(token_counting="char", enabled=False, shutdown_flush_timeout_seconds=30.0))
fake_service = MagicMock()
fake_service.get_status = MagicMock(return_value={})
cleanup_upload_staging_files = MagicMock(return_value=2)
close_oidc_service = AsyncMock()
stop_channel_service = AsyncMock()
async def fake_start(_startup_config, **_kwargs):
return fake_service
with (
patch("app.gateway.app.get_app_config", return_value=startup_config),
patch("app.gateway.app.get_gateway_config", return_value=MagicMock(host="x", port=0)),
patch("app.gateway.app.langgraph_runtime", _noop_langgraph_runtime),
patch("deerflow.skills.projection.ensure_public_skill_projection"),
patch("app.gateway.app.cleanup_stale_upload_staging_files", cleanup_upload_staging_files),
patch("app.gateway.app.auth.close_oidc_service", close_oidc_service),
patch("app.channels.service.start_channel_service", side_effect=fake_start),
patch("app.channels.service.stop_channel_service", stop_channel_service),
):
async with lifespan(app):
pass
return cleanup_upload_staging_files, close_oidc_service, stop_channel_service
def test_lifespan_sweeps_upload_staging_files_on_startup():
cleanup_upload_staging_files, close_oidc_service, stop_channel_service = asyncio.run(_run_lifespan_with_upload_staging_cleanup())
cleanup_upload_staging_files.assert_called_once_with()
close_oidc_service.assert_awaited_once()
stop_channel_service.assert_awaited_once()
async def _run_lifespan_with_memory_flush(*, enabled: bool, flush_return: bool | Exception) -> MagicMock:
"""Drive lifespan with a spied memory manager.shutdown_flush.
Returns the manager mock so the caller can assert the shutdown flush was
reached (and with what timeout). The host calls ``shutdown_flush``
unconditionally when memory is enabled -- there is no host-level
``pending_count/is_processing`` gate, because the backend short-circuits on
an idle buffer and keeping the in-flight race inside the backend means the
host cannot "forget" it (review #6 on the original PR).
"""
from app.gateway.app import lifespan
app = FastAPI()
startup_config = SimpleNamespace(
log_level="INFO",
memory=SimpleNamespace(
token_counting="char",
enabled=enabled,
shutdown_flush_timeout_seconds=5.0,
),
)
fake_service = MagicMock()
fake_service.get_status = MagicMock(return_value={})
close_oidc_service = AsyncMock()
stop_channel_service = AsyncMock()
async def fake_start(_startup_config, **_kwargs):
return fake_service
manager = MagicMock()
if isinstance(flush_return, Exception):
manager.shutdown_flush.side_effect = flush_return
else:
manager.shutdown_flush.return_value = flush_return
with (
patch("app.gateway.app.get_app_config", return_value=startup_config),
patch("app.gateway.app.get_gateway_config", return_value=MagicMock(host="x", port=0)),
patch("app.gateway.app.langgraph_runtime", _noop_langgraph_runtime),
patch("deerflow.skills.projection.ensure_public_skill_projection"),
patch("app.gateway.app.auth.close_oidc_service", close_oidc_service),
patch("app.channels.service.start_channel_service", side_effect=fake_start),
patch("app.channels.service.stop_channel_service", stop_channel_service),
patch("deerflow.agents.memory.get_memory_manager", return_value=manager),
):
async with lifespan(app):
pass
return manager
def test_lifespan_drains_memory_on_shutdown_with_configured_timeout(caplog) -> None:
"""When memory is enabled, shutdown calls manager.shutdown_flush with the
configured timeout (asserts the timeout is forwarded, review #3) and logs
'completed' at INFO when the drain finishes."""
caplog.set_level(logging.INFO, logger="app.gateway.app")
manager = asyncio.run(_run_lifespan_with_memory_flush(enabled=True, flush_return=True))
manager.shutdown_flush.assert_called_once_with(5.0)
assert any(r.levelno == logging.INFO and "flush completed" in r.message for r in caplog.records)
def test_lifespan_warns_when_memory_flush_does_not_finish(caplog) -> None:
"""A False return (timeout/failure) is the path operators actually see when
K8s SIGKILLs the drain; the host must log a WARNING (not 'completed'), so
the loss risk is visible (review #3 False-branch coverage; review #2/#4
failed-flush semantics)."""
caplog.set_level(logging.WARNING, logger="app.gateway.app")
manager = asyncio.run(_run_lifespan_with_memory_flush(enabled=True, flush_return=False))
manager.shutdown_flush.assert_called_once_with(5.0)
assert any(r.levelno == logging.WARNING and "did not finish" in r.message for r in caplog.records)
assert not any("flush completed" in r.message for r in caplog.records)
def test_lifespan_skips_memory_flush_when_disabled() -> None:
"""memory.enabled=False skips the drain entirely."""
manager = asyncio.run(_run_lifespan_with_memory_flush(enabled=False, flush_return=True))
manager.shutdown_flush.assert_not_called()
def test_lifespan_closes_memory_manager_when_flush_raises() -> None:
"""Derived retrieval resources are released even when queue drain fails."""
manager = asyncio.run(_run_lifespan_with_memory_flush(enabled=True, flush_return=RuntimeError("flush failed")))
manager.shutdown_flush.assert_called_once_with(5.0)
manager.close.assert_called_once_with()
# ── startup warm-up log accuracy ────────────────────────────────────────────
async def _run_lifespan_with_warm_return(warm_return: bool | None) -> MagicMock:
"""Drive lifespan with a spied ``manager.warm`` returning ``warm_return``.
The startup warm block reads the tri-state return: None = nothing to warm
(logs "skipping"), True = warmed, False = failed (logs WARNING). Returns the
manager mock so the caller can assert warm was reached.
"""
from app.gateway.app import lifespan
app = FastAPI()
startup_config = SimpleNamespace(
log_level="INFO",
memory=SimpleNamespace(
token_counting="char",
enabled=False,
shutdown_flush_timeout_seconds=5.0,
),
)
fake_service = MagicMock()
fake_service.get_status = MagicMock(return_value={})
close_oidc_service = AsyncMock()
stop_channel_service = AsyncMock()
async def fake_start(_startup_config, **_kwargs):
return fake_service
manager = MagicMock()
manager.warm.return_value = warm_return
with (
patch("app.gateway.app.get_app_config", return_value=startup_config),
patch("app.gateway.app.get_gateway_config", return_value=MagicMock(host="x", port=0)),
patch("app.gateway.app.langgraph_runtime", _noop_langgraph_runtime),
patch("app.gateway.app.auth.close_oidc_service", close_oidc_service),
patch("app.channels.service.start_channel_service", side_effect=fake_start),
patch("app.channels.service.stop_channel_service", stop_channel_service),
patch("deerflow.agents.memory.get_memory_manager", return_value=manager),
):
async with lifespan(app):
pass
return manager
def test_lifespan_logs_skipping_when_backend_has_nothing_to_warm(caplog) -> None:
"""A backend whose warm() returns None (base default -- nothing to warm,
e.g. noop) logs "skipping" at INFO, not the misleading "warmed successfully"
(a non-DeerMem backend never touched the tiktoken cache)."""
caplog.set_level(logging.INFO, logger="app.gateway.app")
manager = asyncio.run(_run_lifespan_with_warm_return(None))
manager.warm.assert_called_once_with()
assert any(r.levelno == logging.INFO and "nothing to warm" in r.message for r in caplog.records)
assert not any("warmed successfully" in r.message for r in caplog.records)
def test_lifespan_warns_when_warm_returns_false(caplog) -> None:
"""warm()=False means warming was attempted and failed; the host logs a
WARNING so the operator sees the character-based-fallback degradation."""
caplog.set_level(logging.WARNING, logger="app.gateway.app")
manager = asyncio.run(_run_lifespan_with_warm_return(False))
manager.warm.assert_called_once_with()
assert any(r.levelno == logging.WARNING and "warm-up failed" in r.message for r in caplog.records)
async def _run_lifespan_with_slow_retrieval_warm() -> float:
from app.gateway.app import lifespan
app = FastAPI()
startup_config = SimpleNamespace(
log_level="INFO",
memory=SimpleNamespace(
token_counting="char",
enabled=True,
shutdown_flush_timeout_seconds=5.0,
),
)
fake_service = MagicMock()
fake_service.get_status.return_value = {}
release_rebuild = threading.Event()
manager = MagicMock()
manager.warm_retrieval.side_effect = lambda: release_rebuild.wait(5.0) or True
manager.warm.return_value = True
manager.shutdown_flush.return_value = True
async def fake_start(_startup_config):
return fake_service
with (
patch("app.gateway.app.get_app_config", return_value=startup_config),
patch("app.gateway.app.get_gateway_config", return_value=MagicMock(host="x", port=0)),
patch("app.gateway.app.langgraph_runtime", _noop_langgraph_runtime),
patch("app.gateway.app.auth.close_oidc_service", AsyncMock()),
patch("app.channels.service.start_channel_service", side_effect=fake_start),
patch("app.channels.service.stop_channel_service", AsyncMock()),
patch("deerflow.agents.memory.get_memory_manager", return_value=manager),
):
context = lifespan(app)
loop = asyncio.get_running_loop()
started_at = loop.time()
try:
await asyncio.wait_for(context.__aenter__(), timeout=1.0)
startup_elapsed = loop.time() - started_at
finally:
release_rebuild.set()
await context.__aexit__(None, None, None)
return startup_elapsed
def test_lifespan_does_not_wait_for_retrieval_rebuild_before_serving() -> None:
assert asyncio.run(_run_lifespan_with_slow_retrieval_warm()) < 1.0
async def _run_shutdown_with_blocked_retrieval_warm() -> tuple[float, MagicMock]:
from app.gateway.app import lifespan
app = FastAPI()
startup_config = SimpleNamespace(
log_level="INFO",
memory=SimpleNamespace(
token_counting="char",
enabled=True,
shutdown_flush_timeout_seconds=5.0,
),
)
fake_service = MagicMock()
fake_service.get_status.return_value = {}
rebuild_started = threading.Event()
release_rebuild = threading.Event()
manager = MagicMock()
def block_rebuild() -> bool:
rebuild_started.set()
release_rebuild.wait(5.0)
return True
manager.warm_retrieval.side_effect = block_rebuild
manager.warm.return_value = True
manager.shutdown_flush.return_value = True
async def fake_start(_startup_config, **_kwargs):
return fake_service
with (
patch("app.gateway.app.get_app_config", return_value=startup_config),
patch("app.gateway.app.get_gateway_config", return_value=MagicMock(host="x", port=0)),
patch("app.gateway.app.langgraph_runtime", _noop_langgraph_runtime),
patch("app.gateway.app._RETRIEVAL_WARM_SHUTDOWN_TIMEOUT_SECONDS", 0.01),
patch("app.gateway.app.auth.close_oidc_service", AsyncMock()),
patch("app.channels.service.start_channel_service", side_effect=fake_start),
patch("app.channels.service.stop_channel_service", AsyncMock()),
patch("deerflow.agents.memory.get_memory_manager", return_value=manager),
):
context = lifespan(app)
await context.__aenter__()
assert await asyncio.to_thread(rebuild_started.wait, 1.0)
loop = asyncio.get_running_loop()
started_at = loop.time()
try:
await context.__aexit__(None, None, None)
finally:
release_rebuild.set()
shutdown_elapsed = loop.time() - started_at
return shutdown_elapsed, manager
def test_lifespan_preserves_flush_budget_when_retrieval_warm_is_still_running() -> None:
shutdown_elapsed, manager = asyncio.run(_run_shutdown_with_blocked_retrieval_warm())
assert shutdown_elapsed < 1.0
manager.shutdown_flush.assert_called_once_with(5.0)
manager.close.assert_not_called()