deer-flow/backend/tests/test_cancelled_batch_retry.py
Hyeonsang Cho 7fd0c0cb3e
fix(harness): keep a cancelled batch cancelled when retrying a failed item (#7792)
* fix(harness): keep a cancelled batch cancelled when retrying a failed item

retry_item only kept a paused batch as it was, so retrying a failed item
of a cancelled batch reset the batch to queued and the worker claimed and
ran the item. A cancelled batch now rejects the retry (409), re-checked
under the write lock because SQLite ignores FOR UPDATE, and the workspace
no longer offers Retry there.

* docs(changelog): reference #7792 for the cancelled batch retry fix
2026-11-02 10:05:05 +08:00

110 lines
4.3 KiB
Python

"""Retrying a failed item never reopens a cancelled batch or runs its work."""
from datetime import UTC, datetime, timedelta
from types import SimpleNamespace
from unittest.mock import AsyncMock
import httpx
import pytest
import pytest_asyncio
from _router_auth_helpers import make_authed_test_app
from app.gateway.auth_disabled import AUTH_SOURCE_SESSION
from app.gateway.routers import subagent_batches
from deerflow.config.database_config import DatabaseConfig
from deerflow.config.subagent_batches_config import SubagentBatchesConfig
from deerflow.config.subagent_runtime_config import SubagentRuntimeConfig
from deerflow.persistence.engine import close_engine, get_session_factory, init_engine_from_config
from deerflow.persistence.subagent_batches import SubagentBatchRepository
from deerflow.persistence.thread_meta import ThreadMetaRepository
from deerflow.subagents.batch_service import SubagentBatchService
_URL = "/api/threads/thread-1/subagent-batches/batch-1"
@pytest_asyncio.fixture
async def api(tmp_path):
# Synthetic session identity; routing, owner checks, SQL and claiming are real.
user = SimpleNamespace(id="user-1", system_role="user")
app = make_authed_test_app(user_factory=lambda: user, bind_current_user=True)
app.include_router(subagent_batches.router)
@app.middleware("http")
async def session_source(request, call_next):
request.state.auth_source = AUTH_SOURCE_SESSION
return await call_next(request)
try:
await init_engine_from_config(DatabaseConfig(backend="sqlite", sqlite_dir=str(tmp_path)))
sessions = get_session_factory()
app.state.subagent_batch_repo = SubagentBatchRepository(sessions)
app.state.thread_store = ThreadMetaRepository(sessions)
service = SubagentBatchService(
repository=app.state.subagent_batch_repo,
config=SubagentBatchesConfig(lease_seconds=10),
runtime_config=SubagentRuntimeConfig(),
)
# No executor is needed: a cancelled batch must never dispatch its items.
service._execute_item = AsyncMock()
app.state.subagent_batch_service = service
app.state.subagent_batches_available = True
await app.state.thread_store.create("thread-1", user_id="user-1")
async with httpx.AsyncClient(transport=httpx.ASGITransport(app=app), base_url="http://test") as client:
yield app, client
finally:
await close_engine()
@pytest.mark.asyncio
async def test_retry_in_cancelled_batch_is_rejected_and_never_dispatched(api):
app, client = api
repo = app.state.subagent_batch_repo
service = app.state.subagent_batch_service
await repo.create_batch(
batch_id="batch-1",
user_id="user-1",
thread_id="thread-1",
run_id="run-1",
tool_call_id="call-1",
submission_key="run-1:call-1",
title="Cancelled research",
subagent_type="general-purpose",
items=[{"key": f"item-{index}", "prompt": f"Process {index}"} for index in range(3)],
max_live_items=1,
max_running_items=1,
max_attempts=1,
execution_spec={},
)
now = datetime.now(UTC)
failed = (await repo.claim_items(now=now, lease_owner="worker-1", lease_seconds=10, limit=1))[0]
assert await repo.finalize_item(
failed["id"],
lease_owner="worker-1",
succeeded=False,
result=None,
result_preview=None,
result_truncated=False,
error="permanent",
stop_reason=None,
token_usage=None,
model_name=None,
completed_at=now,
)
assert (await client.post(f"{_URL}/cancel")).json()["status"] == "cancelled"
retried = await client.post(f"{_URL}/items/{failed['id']}/retry")
assert retried.status_code == 409
assert retried.json()["detail"] == "Only failed items of a batch that is not cancelled can be retried"
await service.run_once(now=now + timedelta(seconds=1))
service._execute_item.assert_not_awaited()
batch = (await client.get(_URL)).json()
assert batch["status"] == "cancelled"
assert batch["completed_at"] is not None
items = (await client.get(f"{_URL}/items")).json()
assert [(item["status"], item["error"]) for item in items] == [
("failed", "permanent"),
("cancelled", "Cancelled by user"),
("cancelled", "Cancelled by user"),
]