deer-flow/backend/tests/test_memory_manager_pluggable.py
RongfuShuiping 4bf028d048
feat(memory): add incremental agent-scoped Markdown fact storage (#4279)
* feat(memory): add Markdown fact storage repository

* docs(memory): explain storage rewrite for beginners

* docs(memory): fix plan markdown formatting

* refactor(memory): separate global summaries from agent facts

* fix(memory): make Markdown fact updates incremental and safe

* Update STORAGE_REWRITE_CHANGES.md

* Delete docs/plans/STORAGE_REWRITE_PLAN.md

* Delete docs/plans/STORAGE_REWRITE_CHANGES.md

* fix(memory): address Markdown storage review feedback

* fix(memory): complete review follow-ups

* fix(memory): resolve storage review findings

* feat(memory): add proactive Markdown migration CLI

* fix(memory): harden Markdown storage concurrency

* fix(memory): harden markdown storage migration

* fix(memory): close migration review gaps

---------

Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
Co-authored-by: qin-chenghan <qinchenghan@Huawei.com>
2026-07-22 07:46:03 +08:00

194 lines
8.6 KiB
Python

"""Pluggable memory manager: the factory resolves the configured backend.
Covers the drop-in contract end-to-end:
- short name -> registered backend (deermem / noop);
- dotted path (``module.Attr`` and ``module:Attr``) -> the same class;
- unknown value -> raise (fail-fast: a wrong store is a silent data-integrity footgun).
Also pins the noop empty-memory behaviour and the ``hasattr`` capability
probing surface (reload_memory + fact CRUD) that the gateway/client rely on.
Each test resets the singleton + backend cache and sets the config, so they
are independent of order.
"""
from __future__ import annotations
from pathlib import Path
from unittest.mock import MagicMock, patch
import pytest
from deerflow.agents.memory import (
MemoryManager,
get_memory_manager,
reset_memory_manager,
)
from deerflow.agents.memory.backends.deermem.deer_mem import DeerMem
from deerflow.agents.memory.backends.noop.noop_manager import NoopMemoryManager
from deerflow.config.memory_config import MemoryConfig, get_memory_config, set_memory_config
@pytest.fixture(autouse=True)
def _isolate_memory_manager():
"""Reset the singleton + restore config around every test."""
orig = get_memory_config()
reset_memory_manager()
yield
set_memory_config(orig)
reset_memory_manager()
@pytest.mark.parametrize(
"manager_class, expected",
[
("deermem", DeerMem),
("noop", NoopMemoryManager),
("deerflow.agents.memory.backends.deermem.deer_mem.DeerMem", DeerMem),
("deerflow.agents.memory.backends.deermem.deer_mem:DeerMem", DeerMem),
("deerflow.agents.memory.backends.noop.noop_manager.NoopMemoryManager", NoopMemoryManager),
("deerflow.agents.memory.backends.noop.noop_manager:NoopMemoryManager", NoopMemoryManager),
],
)
def test_resolves_configured_backend(manager_class: str, expected: type[MemoryManager]) -> None:
set_memory_config(MemoryConfig(manager_class=manager_class))
manager = get_memory_manager()
assert isinstance(manager, expected)
# singleton: a second call returns the same instance
assert get_memory_manager() is manager
def test_unknown_backend_raises_instead_of_falling_back() -> None:
"""An unknown manager_class is a config error: raise, don't silently fall
back to DeerMem (memory is persistent state -- a wrong store is a silent
data-integrity footgun)."""
set_memory_config(MemoryConfig(manager_class="bogus-backend"))
with pytest.raises(ValueError, match="bogus-backend"):
get_memory_manager()
def test_noop_runs_with_empty_memory() -> None:
set_memory_config(MemoryConfig(manager_class="noop"))
manager = get_memory_manager()
assert manager.get_context(user_id="u") == ""
assert manager.search("anything") == []
assert manager.get_memory(user_id="u") == {"facts": []}
# writes are no-ops; memory stays empty
manager.add("t", [], agent_name=None, user_id="u")
manager.add_nowait("t", [], agent_name=None, user_id="u")
assert manager.get_memory(user_id="u") == {"facts": []}
def test_internal_capabilities_are_hasattr_probeable() -> None:
"""reload_memory + fact CRUD + warm exist on DeerMem but not on noop (the ABC omits them)."""
set_memory_config(MemoryConfig(manager_class="deermem"))
deermem = get_memory_manager()
for cap in ("warm", "reload_memory", "create_fact", "delete_fact", "update_fact"):
assert hasattr(deermem, cap), cap
reset_memory_manager()
set_memory_config(MemoryConfig(manager_class="noop"))
noop = get_memory_manager()
for cap in ("warm", "reload_memory", "create_fact", "delete_fact", "update_fact"):
assert not hasattr(noop, cap), cap
def test_deermem_search_works_delete_export_are_stubs() -> None:
set_memory_config(MemoryConfig(manager_class="deermem"))
deermem = get_memory_manager()
# search is implemented (substring match) -- returns a list, does not raise.
assert isinstance(deermem.search("q", user_id="u"), list)
# delete_memory / export_memory remain unimplemented stubs this phase.
with pytest.raises(NotImplementedError):
deermem.delete_memory(user_id="u")
with pytest.raises(NotImplementedError):
deermem.export_memory(user_id="u")
def test_factory_raises_when_storage_path_is_existing_file(tmp_path) -> None:
"""A storage_path that resolves to an existing FILE is a config error: DeerMem
treats storage_path as a root directory, so a file would make save's mkdir
raise NotADirectoryError (silent write failure). Fail loud at startup (#1)."""
file_path = tmp_path / "mem.json"
file_path.write_text("{}", encoding="utf-8")
set_memory_config(MemoryConfig(manager_class="deermem", backend_config={"storage_path": str(file_path)}))
with pytest.raises(ValueError, match="existing file"):
get_memory_manager()
def test_migration_drops_file_style_legacy_storage_path(caplog) -> None:
"""A legacy top-level storage_path that looks like a file (ends in .json) is
dropped, not carried verbatim -- DeerMem now treats storage_path as a root
directory, so carrying 'memory.json' would orphan per-user memory / hit
NotADirectoryError. Dropping lets the factory inject runtime_home (per-user
location unchanged). Non-file legacy fields still migrate; empty values are
skipped silently (#1, #6)."""
from deerflow.config.memory_config import load_memory_config_from_dict
with caplog.at_level("WARNING", logger="deerflow.config.memory_config"):
load_memory_config_from_dict({"storage_path": "memory.json", "max_facts": 50})
cfg = get_memory_config()
assert "storage_path" not in cfg.backend_config # file-style dropped
assert cfg.backend_config.get("max_facts") == 50 # non-file legacy still migrates
assert any("looks like a file path" in r.message for r in caplog.records)
def test_empty_storage_path_factory_injects_runtime_home(tmp_path, monkeypatch) -> None:
"""Empty/absent storage_path -> factory injects runtime_home() as the root, so
per-user memory lands at {runtime_home}/users/{uid}/memory.json (matches
pre-abstraction per-user location). Pins the zero-config default (reviewer #1)."""
import deerflow.config.runtime_paths as rp
monkeypatch.setattr(rp, "runtime_home", lambda: tmp_path)
set_memory_config(MemoryConfig(manager_class="deermem")) # no storage_path
manager = get_memory_manager()
assert Path(manager._config.storage_path) == tmp_path
manager.create_fact("hello", user_id="u1", agent_name="test-agent")
# per-user dir created under the injected runtime_home root
user_dirs = [p.name for p in (tmp_path / "users").iterdir() if p.is_dir()]
assert len(user_dirs) == 1
def test_shutdown_flush_is_on_abc_and_noop_is_noop_success() -> None:
"""``shutdown_flush`` is part of the MemoryManager ABC (every backend must
implement a bounded graceful-shutdown drain); noop has no buffer, so it
returns True immediately."""
assert "shutdown_flush" in MemoryManager.__abstractmethods__
reset_memory_manager()
set_memory_config(MemoryConfig(manager_class="noop"))
noop = get_memory_manager()
assert noop.shutdown_flush(1.0) is True
reset_memory_manager()
def test_deermem_shutdown_flush_delegates_to_queue_flush_sync() -> None:
"""DeerMem.shutdown_flush delegates to its queue's bounded flush_sync,
forwarding the host-owned timeout budget unchanged."""
reset_memory_manager()
set_memory_config(MemoryConfig(manager_class="deermem"))
deermem = get_memory_manager()
with patch.object(deermem._queue, "flush_sync", return_value=True) as spy:
assert deermem.shutdown_flush(7.0) is True
spy.assert_called_once_with(7.0)
reset_memory_manager()
def test_deermem_shutdown_flush_drains_a_pending_update() -> None:
"""End-to-end: a pending update sitting in DeerMem's queue is drained
within the timeout on shutdown_flush (the loss-on-exit bug the ABC method
fixes). The drain skips inter-item sleep so the budget goes to LLM calls."""
from deerflow.agents.memory.backends.deermem.deermem.core.queue import ConversationContext
reset_memory_manager()
set_memory_config(MemoryConfig(manager_class="deermem"))
deermem = get_memory_manager()
# Inject a mock updater so no real LLM call is made; both items "succeed".
mock_updater = MagicMock()
mock_updater.update_memory.return_value = True
deermem._queue._updater = mock_updater
deermem._queue._queue = [ConversationContext(thread_id=f"t{i}", messages=["m"], agent_name="lead_agent") for i in range(3)]
assert deermem.shutdown_flush(5.0) is True
assert deermem._queue.pending_count == 0
assert mock_updater.update_memory.call_count == 3
reset_memory_manager()