md-first memory extraction framework for AI agents. Markdown is the single source of truth; SQLite holds state and LanceDB provides the rebuildable vector + BM25 + scalar index. The codebase follows a single-direction DDD layering (entrypoints -> service -> memory -> infra, with component / core / config cross-cutting) enforced by import-linter. Engineering surface: - Coding conventions in .claude/rules/ (path-scoped) and workflows in .claude/skills/ (/commit, /new-branch, /pr). - GitHub Actions CI runs make lint + test + integration; pre-commit mirrors the gates locally (ruff, hygiene hooks, gitlint commit-msg). - Commit messages follow Conventional Commits, enforced by gitlint. - make lint also enforces datetime two-zone discipline and OpenAPI drift.
270 lines
9.7 KiB
Python
270 lines
9.7 KiB
Python
"""Session-scoped corpus fixture for ``tests/integration/search/``.
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The pipeline that produces the search corpus (`/add` × 19 + `/flush` +
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cascade drain) is the same one exercised by
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``tests/integration/test_add_flush_pipeline_e2e.py`` — and it costs
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~10 minutes against real LLMs. To keep the search test suite usable
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in CI we run that pipeline **once per session** here, persist the
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resulting memory_root to a session ``tmp_path``, and let every test
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re-attach a fresh FastAPI lifespan against the on-disk corpus.
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Layout::
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_ingested_memory_root (session-scoped)
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└── ingests LoCoMo conv_0 via the HTTP API, then tears
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lifespan down. Returns the memory_root path with md +
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sqlite + lancedb populated on disk.
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search_client (function-scoped)
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└── per-test ``httpx.AsyncClient`` wired to a freshly built
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FastAPI app, ``EVEROS_MEMORY__ROOT`` pointed at the
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session corpus. Singletons are reset so each test starts
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with cold caches and the lifespan is the only thing
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constructing them.
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This is intentionally separate from ``tests/integration/conftest.py``
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fixtures (which are function-scoped). Cross-suite isolation: tests
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under ``search/`` cannot poison or be poisoned by the ones above.
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All tests in this folder are marked ``slow`` via the module-level
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``pytestmark`` in ``test_search_e2e.py`` — a non-``-m slow`` run skips
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the whole suite cleanly without paying the ingest cost.
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"""
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from __future__ import annotations
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import asyncio
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import importlib
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import os
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from collections.abc import AsyncIterator, Awaitable, Callable, Generator
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from pathlib import Path
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import httpx
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import pytest
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import pytest_asyncio
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from sqlalchemy import text
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# Set ``EVEROS_REUSE_CORPUS=<path>`` to skip ingest and point the
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# session fixture at an existing memory_root (md + lancedb already
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# populated). Search is a read-only path, so no copy is needed — the
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# fixture just sets ``EVEROS_MEMORY__ROOT`` to that directory.
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_REUSE_ENV = "EVEROS_REUSE_CORPUS"
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# Memorize-service module-level lazy singletons; reset between phases so
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# stale clients / engines don't leak from ingest into per-test lifespans.
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_MEMORIZE_SINGLETONS: tuple[str, ...] = (
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"_episode_writer",
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"_prompt_loader",
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"_user_pipeline",
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"_agent_pipeline",
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"_ome_engine",
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)
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# ── Session-scoped MonkeyPatch ─────────────────────────────────────────
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@pytest.fixture(scope="session")
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def _session_monkeypatch() -> Generator[pytest.MonkeyPatch, None, None]:
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"""A ``MonkeyPatch`` instance with session lifetime.
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Pytest's default ``monkeypatch`` is function-scoped. The ingest
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fixture below has to set env vars and null singletons before the
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lifespan even starts — those changes have to live for the whole
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session, so we open our own ``MonkeyPatch`` and undo it at session
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end.
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"""
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mp = pytest.MonkeyPatch()
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yield mp
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mp.undo()
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# ── Singleton reset helper ─────────────────────────────────────────────
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def _reset_memorize_singletons(mp: pytest.MonkeyPatch) -> None:
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"""Null out memorize/strategy/LLM-client lazy singletons.
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Called once before ingest (so the freshly-set ``EVEROS_MEMORY__ROOT``
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actually wins) and once per test (so the session corpus's lifespan
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sees clean caches).
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"""
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from everos.config import load_settings
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load_settings.cache_clear()
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svc = importlib.import_module("everos.service.memorize")
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client_mod = importlib.import_module("everos.component.llm.client")
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af_mod = importlib.import_module("everos.memory.strategies.extract_atomic_facts")
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fs_mod = importlib.import_module("everos.memory.strategies.extract_foresight")
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for attr in _MEMORIZE_SINGLETONS:
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mp.setattr(svc, attr, None, raising=False)
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mp.setattr(client_mod, "_llm_client", None, raising=False)
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mp.setattr(af_mod, "_writer", None, raising=False)
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mp.setattr(fs_mod, "_writer", None, raising=False)
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# ── Session corpus: ingest once ────────────────────────────────────────
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@pytest.fixture(scope="session")
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def _ingested_memory_root(
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tmp_path_factory: pytest.TempPathFactory,
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_session_monkeypatch: pytest.MonkeyPatch,
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long_conversation: dict,
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) -> Path:
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"""Run /add × 19 + /flush + cascade drain once; return the memory_root.
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All on-disk artifacts (md files + sqlite system.db + lancedb
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tables) survive lifespan teardown, so per-test fixtures can
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re-attach a fresh app against the populated root and exercise
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only the read path.
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Marked **slow** transitively via ``pytestmark`` in
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``test_search_e2e.py`` — without ``-m slow`` the test module is
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deselected and this fixture is never instantiated.
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"""
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reuse = os.environ.get(_REUSE_ENV)
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if reuse:
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memory_root = Path(reuse).expanduser().resolve()
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users_dir = memory_root / "default_app" / "default_project" / "users"
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if not users_dir.is_dir():
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raise AssertionError(
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f"{_REUSE_ENV}={memory_root} has no "
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"default_app/default_project/users/ subdir — point it at a "
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"fully-ingested memory_root or unset to rebuild from scratch"
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)
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else:
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memory_root = tmp_path_factory.mktemp("search_corpus")
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_session_monkeypatch.setenv("EVEROS_MEMORY__ROOT", str(memory_root))
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_reset_memorize_singletons(_session_monkeypatch)
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if reuse:
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# Search is read-only; the corpus is consumed in place, no copy.
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return memory_root
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# Drive the ingest in its own event loop. The lifespan inside
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# ``_ingest`` properly closes LanceDB / SQLite handles on exit so
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# the per-test lifespans can re-open them.
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asyncio.run(_ingest(memory_root, long_conversation))
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return memory_root
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async def _ingest(memory_root: Path, long_conversation: dict) -> None:
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"""Bring up the app once, push the LoCoMo fixture through /add+/flush."""
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from everos.entrypoints.api.app import create_app
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app = create_app()
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transport = httpx.ASGITransport(app=app)
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async with (
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app.router.lifespan_context(app),
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httpx.AsyncClient(transport=transport, base_url="http://test") as client,
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):
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session_id = long_conversation["everos_session_id"]
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for batch in long_conversation["batches"]:
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messages = [
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{
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"sender_id": m["sender_id"],
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"role": m["role"],
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"timestamp": m["timestamp"],
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"content": m["content"],
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}
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for m in batch["messages"]
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]
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resp = await client.post(
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"/api/v1/memory/add",
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json={"session_id": session_id, "messages": messages},
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timeout=600.0,
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)
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resp.raise_for_status()
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resp = await client.post(
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"/api/v1/memory/flush",
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json={"session_id": session_id},
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timeout=600.0,
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)
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resp.raise_for_status()
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await _poll_cascade_drained(deadline_seconds=600.0)
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async def _poll_cascade_drained(*, deadline_seconds: float) -> None:
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"""Block until ``md_change_state.pending == 0`` or deadline."""
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from everos.infra.persistence.sqlite import md_change_state_repo
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async with asyncio.timeout(deadline_seconds):
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while True:
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summary = await md_change_state_repo.queue_summary()
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if summary.pending == 0:
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return
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await asyncio.sleep(0.5)
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# ── Per-test client against the session corpus ─────────────────────────
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@pytest_asyncio.fixture
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async def search_client(
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_ingested_memory_root: Path,
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monkeypatch: pytest.MonkeyPatch,
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) -> AsyncIterator[httpx.AsyncClient]:
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"""Per-test ``AsyncClient`` reading from the session corpus.
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Singletons are reset before the lifespan starts so the search
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manager builds a fresh embedding / rerank / LLM client per test —
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we don't want cross-test client state to mask a regression.
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"""
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monkeypatch.setenv("EVEROS_MEMORY__ROOT", str(_ingested_memory_root))
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_reset_memorize_singletons(monkeypatch)
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# The search service has its own module-level singletons; reset
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# those too so re-attach is clean.
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search_svc = importlib.import_module("everos.service.search")
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for attr in (
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"_manager",
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"_embedding",
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"_reranker",
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"_llm_client",
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"_embedding_resolved",
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"_rerank_resolved",
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"_llm_resolved",
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):
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if hasattr(search_svc, attr):
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monkeypatch.setattr(
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search_svc,
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attr,
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None if not attr.endswith("_resolved") else False,
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raising=False,
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)
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from everos.entrypoints.api.app import create_app
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app = create_app()
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transport = httpx.ASGITransport(app=app)
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async with (
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app.router.lifespan_context(app),
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httpx.AsyncClient(transport=transport, base_url="http://test") as client,
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):
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yield client
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# ── Diagnostic helpers (handy for tests that probe SQLite directly) ───
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@pytest.fixture
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def memcell_count() -> Callable[[], Awaitable[int]]:
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"""Return an async callable: ``await memcell_count() -> int``."""
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async def _count() -> int:
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from everos.infra.persistence.sqlite import get_engine
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engine = get_engine()
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async with engine.connect() as conn:
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result = await conn.execute(text("SELECT COUNT(*) FROM memcell"))
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return int(result.scalar() or 0)
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return _count
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