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chore: import upstream snapshot with attribution
2026-07-13 12:24:24 +08:00

271 行
9.7 KiB
Python

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"""Session-scoped corpus fixture for ``tests/integration/search/``.
The pipeline that produces the search corpus (`/add` × 19 + `/flush` +
cascade drain) is the same one exercised by
``tests/integration/test_add_flush_pipeline_e2e.py`` — and it costs
~10 minutes against real LLMs. To keep the search test suite usable
in CI we run that pipeline **once per session** here, persist the
resulting memory_root to a session ``tmp_path``, and let every test
re-attach a fresh FastAPI lifespan against the on-disk corpus.
Layout::
_ingested_memory_root (session-scoped)
└── ingests LoCoMo conv_0 via the HTTP API, then tears
lifespan down. Returns the memory_root path with md +
sqlite + lancedb populated on disk.
search_client (function-scoped)
└── per-test ``httpx.AsyncClient`` wired to a freshly built
FastAPI app, ``EVEROS_ROOT`` pointed at the
session corpus. Singletons are reset so each test starts
with cold caches and the lifespan is the only thing
constructing them.
This is intentionally separate from ``tests/integration/conftest.py``
fixtures (which are function-scoped). Cross-suite isolation: tests
under ``search/`` cannot poison or be poisoned by the ones above.
All tests in this folder are marked ``slow`` via the module-level
``pytestmark`` in ``test_search_e2e.py`` — a non-``-m slow`` run skips
the whole suite cleanly without paying the ingest cost.
"""
from __future__ import annotations
import asyncio
import importlib
import os
from collections.abc import AsyncIterator, Awaitable, Callable, Generator
from pathlib import Path
import httpx
import pytest
import pytest_asyncio
from sqlalchemy import text
# Set ``EVEROS_REUSE_CORPUS=<path>`` to skip ingest and point the
# session fixture at an existing memory_root (md + lancedb already
# populated). Search is a read-only path, so no copy is needed — the
# fixture just sets ``EVEROS_ROOT`` to that directory.
_REUSE_ENV = "EVEROS_REUSE_CORPUS"
# Memorize-service module-level lazy singletons; reset between phases so
# stale clients / engines don't leak from ingest into per-test lifespans.
_MEMORIZE_SINGLETONS: tuple[str, ...] = (
"_episode_writer",
"_prompt_loader",
"_user_pipeline",
"_agent_pipeline",
"_ome_engine",
)
# ── Session-scoped MonkeyPatch ─────────────────────────────────────────
@pytest.fixture(scope="session")
def _session_monkeypatch() -> Generator[pytest.MonkeyPatch, None, None]:
"""A ``MonkeyPatch`` instance with session lifetime.
Pytest's default ``monkeypatch`` is function-scoped. The ingest
fixture below has to set env vars and null singletons before the
lifespan even starts — those changes have to live for the whole
session, so we open our own ``MonkeyPatch`` and undo it at session
end.
"""
mp = pytest.MonkeyPatch()
yield mp
mp.undo()
# ── Singleton reset helper ─────────────────────────────────────────────
def _reset_memorize_singletons(mp: pytest.MonkeyPatch) -> None:
"""Null out memorize/strategy/LLM-client lazy singletons.
Called once before ingest (so the freshly-set ``EVEROS_ROOT``
actually wins) and once per test (so the session corpus's lifespan
sees clean caches).
"""
from everos.config import load_settings
load_settings.cache_clear()
svc = importlib.import_module("everos.service.memorize")
client_mod = importlib.import_module("everos.component.llm.client")
af_mod = importlib.import_module("everos.memory.strategies.extract_atomic_facts")
fs_mod = importlib.import_module("everos.memory.strategies.extract_foresight")
for attr in _MEMORIZE_SINGLETONS:
mp.setattr(svc, attr, None, raising=False)
mp.setattr(client_mod, "_llm_client", None, raising=False)
mp.setattr(af_mod, "_writer", None, raising=False)
mp.setattr(fs_mod, "_writer", None, raising=False)
# ── Session corpus: ingest once ────────────────────────────────────────
@pytest.fixture(scope="session")
def _ingested_memory_root(
tmp_path_factory: pytest.TempPathFactory,
_session_monkeypatch: pytest.MonkeyPatch,
long_conversation: dict,
) -> Path:
"""Run /add × 19 + /flush + cascade drain once; return the memory_root.
All on-disk artifacts (md files + sqlite system.db + lancedb
tables) survive lifespan teardown, so per-test fixtures can
re-attach a fresh app against the populated root and exercise
only the read path.
Marked **slow** transitively via ``pytestmark`` in
``test_search_e2e.py`` — without ``-m slow`` the test module is
deselected and this fixture is never instantiated.
"""
reuse = os.environ.get(_REUSE_ENV)
if reuse:
memory_root = Path(reuse).expanduser().resolve()
users_dir = memory_root / "default_app" / "default_project" / "users"
if not users_dir.is_dir():
raise AssertionError(
f"{_REUSE_ENV}={memory_root} has no "
"default_app/default_project/users/ subdir — point it at a "
"fully-ingested memory_root or unset to rebuild from scratch"
)
else:
memory_root = tmp_path_factory.mktemp("search_corpus")
_session_monkeypatch.setenv("EVEROS_ROOT", str(memory_root))
_reset_memorize_singletons(_session_monkeypatch)
(memory_root / "ome.toml").write_text("# test\n")
if reuse:
# Search is read-only; the corpus is consumed in place, no copy.
return memory_root
# Drive the ingest in its own event loop. The lifespan inside
# ``_ingest`` properly closes LanceDB / SQLite handles on exit so
# the per-test lifespans can re-open them.
asyncio.run(_ingest(memory_root, long_conversation))
return memory_root
async def _ingest(memory_root: Path, long_conversation: dict) -> None:
"""Bring up the app once, push the LoCoMo fixture through /add+/flush."""
from everos.entrypoints.api.app import create_app
app = create_app()
transport = httpx.ASGITransport(app=app)
async with (
app.router.lifespan_context(app),
httpx.AsyncClient(transport=transport, base_url="http://test") as client,
):
session_id = long_conversation["everos_session_id"]
for batch in long_conversation["batches"]:
messages = [
{
"sender_id": m["sender_id"],
"role": m["role"],
"timestamp": m["timestamp"],
"content": m["content"],
}
for m in batch["messages"]
]
resp = await client.post(
"/api/v1/memory/add",
json={"session_id": session_id, "messages": messages},
timeout=600.0,
)
resp.raise_for_status()
resp = await client.post(
"/api/v1/memory/flush",
json={"session_id": session_id},
timeout=600.0,
)
resp.raise_for_status()
await _poll_cascade_drained(deadline_seconds=600.0)
async def _poll_cascade_drained(*, deadline_seconds: float) -> None:
"""Block until ``md_change_state.pending == 0`` or deadline."""
from everos.infra.persistence.sqlite import md_change_state_repo
async with asyncio.timeout(deadline_seconds):
while True:
summary = await md_change_state_repo.queue_summary()
if summary.pending == 0:
return
await asyncio.sleep(0.5)
# ── Per-test client against the session corpus ─────────────────────────
@pytest_asyncio.fixture
async def search_client(
_ingested_memory_root: Path,
monkeypatch: pytest.MonkeyPatch,
) -> AsyncIterator[httpx.AsyncClient]:
"""Per-test ``AsyncClient`` reading from the session corpus.
Singletons are reset before the lifespan starts so the search
manager builds a fresh embedding / rerank / LLM client per test —
we don't want cross-test client state to mask a regression.
"""
monkeypatch.setenv("EVEROS_ROOT", str(_ingested_memory_root))
_reset_memorize_singletons(monkeypatch)
# The search service has its own module-level singletons; reset
# those too so re-attach is clean.
search_svc = importlib.import_module("everos.service.search")
for attr in (
"_manager",
"_embedding",
"_reranker",
"_llm_client",
"_embedding_resolved",
"_rerank_resolved",
"_llm_resolved",
):
if hasattr(search_svc, attr):
monkeypatch.setattr(
search_svc,
attr,
None if not attr.endswith("_resolved") else False,
raising=False,
)
from everos.entrypoints.api.app import create_app
app = create_app()
transport = httpx.ASGITransport(app=app)
async with (
app.router.lifespan_context(app),
httpx.AsyncClient(transport=transport, base_url="http://test") as client,
):
yield client
# ── Diagnostic helpers (handy for tests that probe SQLite directly) ───
@pytest.fixture
def memcell_count() -> Callable[[], Awaitable[int]]:
"""Return an async callable: ``await memcell_count() -> int``."""
async def _count() -> int:
from everos.infra.persistence.sqlite import get_engine
engine = get_engine()
async with engine.connect() as conn:
result = await conn.execute(text("SELECT COUNT(*) FROM memcell"))
return int(result.scalar() or 0)
return _count