deer-flow/backend/tests/test_memory_storage_user_isolation.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

113 lines
4.6 KiB
Python

"""Tests for per-user memory storage isolation (DI: FileMemoryStorage(DeerMemConfig))."""
from pathlib import Path
import pytest
from deerflow.agents.memory.backends.deermem.deermem.config import DeerMemConfig
from deerflow.agents.memory.backends.deermem.deermem.core.paths import fact_file_path
from deerflow.agents.memory.backends.deermem.deermem.core.storage import FileMemoryStorage, create_empty_memory
@pytest.fixture
def base_dir(tmp_path: Path, monkeypatch) -> Path:
"""DeerMem data root = tmp_path (via $DEERMEM_DATA_DIR)."""
monkeypatch.setenv("DEERMEM_DATA_DIR", str(tmp_path))
return tmp_path
@pytest.fixture
def storage() -> FileMemoryStorage:
return FileMemoryStorage(DeerMemConfig())
class TestUserIsolatedStorage:
def test_save_and_load_per_user(self, storage: FileMemoryStorage, base_dir: Path):
memory_a = create_empty_memory()
memory_a["user"]["workContext"]["summary"] = "User A context"
storage.save(memory_a, user_id="alice")
memory_b = create_empty_memory()
memory_b["user"]["workContext"]["summary"] = "User B context"
storage.save(memory_b, user_id="bob")
loaded_a = storage.load(user_id="alice")
loaded_b = storage.load(user_id="bob")
assert loaded_a["user"]["workContext"]["summary"] == "User A context"
assert loaded_b["user"]["workContext"]["summary"] == "User B context"
def test_user_memory_file_location(self, base_dir: Path):
s = FileMemoryStorage(DeerMemConfig())
s.save(create_empty_memory(), user_id="alice")
assert (base_dir / "users" / "alice" / "memory.json").exists()
def test_cache_isolated_per_user(self, base_dir: Path):
s = FileMemoryStorage(DeerMemConfig())
memory_a = create_empty_memory()
memory_a["user"]["workContext"]["summary"] = "A"
s.save(memory_a, user_id="alice")
memory_b = create_empty_memory()
memory_b["user"]["workContext"]["summary"] = "B"
s.save(memory_b, user_id="bob")
loaded_a = s.load(user_id="alice")
assert loaded_a["user"]["workContext"]["summary"] == "A"
def test_no_user_id_uses_legacy_path(self, base_dir: Path):
s = FileMemoryStorage(DeerMemConfig())
s.save(create_empty_memory(), user_id=None)
assert (base_dir / "memory.json").exists()
def test_user_and_legacy_do_not_interfere(self, base_dir: Path):
"""user_id=None (legacy) and user_id='alice' must use different files and caches."""
s = FileMemoryStorage(DeerMemConfig())
legacy_mem = create_empty_memory()
legacy_mem["user"]["workContext"]["summary"] = "legacy"
s.save(legacy_mem, user_id=None)
user_mem = create_empty_memory()
user_mem["user"]["workContext"]["summary"] = "alice"
s.save(user_mem, user_id="alice")
assert s.load(user_id=None)["user"]["workContext"]["summary"] == "legacy"
assert s.load(user_id="alice")["user"]["workContext"]["summary"] == "alice"
def test_user_agent_memory_file_location(self, base_dir: Path):
"""One user JSON stores summaries; agent facts live below the agent directory."""
s = FileMemoryStorage(DeerMemConfig())
memory = create_empty_memory()
memory["facts"] = [{"id": "fact_agent", "content": "agent scoped"}]
s.save(memory, "test-agent", user_id="alice")
memory_path = base_dir / "users" / "alice" / "memory.json"
assert memory_path.exists()
assert not (base_dir / "users" / "alice" / "agents" / "test-agent" / "memory.json").exists()
assert fact_file_path(memory_path, "fact_agent", agent_name="test-agent").exists()
def test_cache_key_is_user_agent_tuple(self, base_dir: Path):
"""Cache keys must be (user_id, agent_name) tuples."""
s = FileMemoryStorage(DeerMemConfig())
s.save(create_empty_memory(), user_id="alice")
assert ("alice", None) in s._memory_cache
def test_reload_with_user_id(self, base_dir: Path):
"""reload() with user_id should force re-read from the user-scoped file."""
s = FileMemoryStorage(DeerMemConfig())
memory = create_empty_memory()
memory["user"]["workContext"]["summary"] = "initial"
s.save(memory, user_id="alice")
s.load(user_id="alice") # prime cache
user_file = base_dir / "users" / "alice" / "memory.json"
import json
updated = create_empty_memory()
updated["user"]["workContext"]["summary"] = "updated"
user_file.write_text(json.dumps(updated))
reloaded = s.reload(user_id="alice")
assert reloaded["user"]["workContext"]["summary"] == "updated"