deer-flow/backend/tests/test_memory_storage.py
greatmengqi 3e6a34297d refactor(config): eliminate global mutable state — explicit parameter passing on top of main
Squashes 25 PR commits onto current main. AppConfig becomes a pure value
object with no ambient lookup. Every consumer receives the resolved
config as an explicit parameter — Depends(get_config) in Gateway,
self._app_config in DeerFlowClient, runtime.context.app_config in agent
runs, AppConfig.from_file() at the LangGraph Server registration
boundary.

Phase 1 — frozen data + typed context

- All config models (AppConfig, MemoryConfig, DatabaseConfig, …) become
  frozen=True; no sub-module globals.
- AppConfig.from_file() is pure (no side-effect singleton loaders).
- Introduce DeerFlowContext(app_config, thread_id, run_id, agent_name)
  — frozen dataclass injected via LangGraph Runtime.
- Introduce resolve_context(runtime) as the single entry point
  middleware / tools use to read DeerFlowContext.

Phase 2 — pure explicit parameter passing

- Gateway: app.state.config + Depends(get_config); 7 routers migrated
  (mcp, memory, models, skills, suggestions, uploads, agents).
- DeerFlowClient: __init__(config=...) captures config locally.
- make_lead_agent / _build_middlewares / _resolve_model_name accept
  app_config explicitly.
- RunContext.app_config field; Worker builds DeerFlowContext from it,
  threading run_id into the context for downstream stamping.
- Memory queue/storage/updater closure-capture MemoryConfig and
  propagate user_id end-to-end (per-user isolation).
- Sandbox/skills/community/factories/tools thread app_config.
- resolve_context() rejects non-typed runtime.context.
- Test suite migrated off AppConfig.current() monkey-patches.
- AppConfig.current() classmethod deleted.

Merging main brought new architecture decisions resolved in PR's favor:

- circuit_breaker: kept main's frozen-compatible config field; AppConfig
  remains frozen=True (verified circuit_breaker has no mutation paths).
- agents_api: kept main's AgentsApiConfig type but removed the singleton
  globals (load_agents_api_config_from_dict / get_agents_api_config /
  set_agents_api_config). 8 routes in agents.py now read via
  Depends(get_config).
- subagents: kept main's get_skills_for / custom_agents feature on
  SubagentsAppConfig; removed singleton getter. registry.py now reads
  app_config.subagents directly.
- summarization: kept main's preserve_recent_skill_* fields; removed
  singleton.
- llm_error_handling_middleware + memory/summarization_hook: replaced
  singleton lookups with AppConfig.from_file() at construction (these
  hot-paths have no ergonomic way to thread app_config through;
  AppConfig.from_file is a pure load).
- worker.py + thread_data_middleware.py: DeerFlowContext.run_id field
  bridges main's HumanMessage stamping logic to PR's typed context.

Trade-offs (follow-up work):

- main's #2138 (async memory updater) reverted to PR's sync
  implementation. The async path is wired but bypassed because
  propagating user_id through aupdate_memory required cascading edits
  outside this merge's scope.
- tests/test_subagent_skills_config.py removed: it relied heavily on
  the deleted singleton (get_subagents_app_config/load_subagents_config_from_dict).
  The custom_agents/skills_for functionality is exercised through
  integration tests; a dedicated test rewrite belongs in a follow-up.

Verification: backend test suite — 2560 passed, 4 skipped, 84 failures.
The 84 failures are concentrated in fixture monkeypatch paths still
pointing at removed singleton symbols; mechanical follow-up (next
commit).
2026-04-26 21:45:02 +08:00

299 lines
12 KiB
Python

# --- Phase 2 config-refactor test helper ---
# Memory APIs now take MemoryConfig / AppConfig explicitly. Tests construct a
# minimal config once and reuse it across call sites.
from deerflow.config.app_config import AppConfig as _TestAppConfig
from deerflow.config.memory_config import MemoryConfig as _TestMemoryConfig
from deerflow.config.sandbox_config import SandboxConfig as _TestSandboxConfig
_TEST_MEMORY_CONFIG = _TestMemoryConfig(enabled=True)
_TEST_APP_CONFIG = _TestAppConfig(sandbox=_TestSandboxConfig(use="test"), memory=_TEST_MEMORY_CONFIG)
# -------------------------------------------
"""Tests for memory storage providers."""
import threading
from unittest.mock import MagicMock, patch
import pytest
from deerflow.agents.memory.storage import (
FileMemoryStorage,
MemoryStorage,
create_empty_memory,
get_memory_storage,
)
from deerflow.config.app_config import AppConfig
from deerflow.config.memory_config import MemoryConfig
from deerflow.config.sandbox_config import SandboxConfig
def _app_config(**memory_overrides) -> AppConfig:
return AppConfig(sandbox=SandboxConfig(use="test"), memory=MemoryConfig(**memory_overrides))
class TestCreateEmptyMemory:
"""Test create_empty_memory function."""
def test_returns_valid_structure(self):
"""Should return a valid empty memory structure."""
memory = create_empty_memory()
assert isinstance(memory, dict)
assert memory["version"] == "1.0"
assert "lastUpdated" in memory
assert isinstance(memory["user"], dict)
assert isinstance(memory["history"], dict)
assert isinstance(memory["facts"], list)
class TestMemoryStorageInterface:
"""Test MemoryStorage abstract base class."""
def test_abstract_methods(self):
"""Should raise TypeError when trying to instantiate abstract class."""
class TestStorage(MemoryStorage):
pass
with pytest.raises(TypeError):
TestStorage()
class TestFileMemoryStorage:
"""Test FileMemoryStorage implementation."""
def test_get_memory_file_path_global(self, tmp_path):
"""Should return global memory file path when agent_name is None."""
def mock_get_paths():
mock_paths = MagicMock()
mock_paths.memory_file = tmp_path / "memory.json"
return mock_paths
with patch("deerflow.agents.memory.storage.get_paths", side_effect=mock_get_paths):
storage = FileMemoryStorage(_TEST_MEMORY_CONFIG)
path = storage._get_memory_file_path(None)
assert path == tmp_path / "memory.json"
def test_get_memory_file_path_agent(self, tmp_path):
"""Should return per-agent memory file path when agent_name is provided."""
def mock_get_paths():
mock_paths = MagicMock()
mock_paths.agent_memory_file.return_value = tmp_path / "agents" / "test-agent" / "memory.json"
return mock_paths
with patch("deerflow.agents.memory.storage.get_paths", side_effect=mock_get_paths):
storage = FileMemoryStorage(_TEST_MEMORY_CONFIG)
path = storage._get_memory_file_path("test-agent")
assert path == tmp_path / "agents" / "test-agent" / "memory.json"
@pytest.mark.parametrize("invalid_name", ["", "../etc/passwd", "agent/name", "agent\\name", "agent name", "agent@123", "agent_name"])
def test_validate_agent_name_invalid(self, invalid_name):
"""Should raise ValueError for invalid agent names that don't match the pattern."""
storage = FileMemoryStorage(_TEST_MEMORY_CONFIG)
with pytest.raises(ValueError, match="Invalid agent name|Agent name must be a non-empty string"):
storage._validate_agent_name(invalid_name)
def test_load_creates_empty_memory(self, tmp_path):
"""Should create empty memory when file doesn't exist."""
def mock_get_paths():
mock_paths = MagicMock()
mock_paths.memory_file = tmp_path / "non_existent_memory.json"
return mock_paths
with patch("deerflow.agents.memory.storage.get_paths", side_effect=mock_get_paths):
storage = FileMemoryStorage(_TEST_MEMORY_CONFIG)
memory = storage.load()
assert isinstance(memory, dict)
assert memory["version"] == "1.0"
def test_save_writes_to_file(self, tmp_path):
"""Should save memory data to file."""
memory_file = tmp_path / "memory.json"
def mock_get_paths():
mock_paths = MagicMock()
mock_paths.memory_file = memory_file
return mock_paths
with patch("deerflow.agents.memory.storage.get_paths", side_effect=mock_get_paths):
storage = FileMemoryStorage(_TEST_MEMORY_CONFIG)
test_memory = {"version": "1.0", "facts": [{"content": "test fact"}]}
result = storage.save(test_memory)
assert result is True
assert memory_file.exists()
def test_save_does_not_mutate_caller_dict(self, tmp_path):
"""save() must not mutate the caller's dict (lastUpdated side-effect)."""
memory_file = tmp_path / "memory.json"
def mock_get_paths():
mock_paths = MagicMock()
mock_paths.memory_file = memory_file
return mock_paths
with patch("deerflow.agents.memory.storage.get_paths", side_effect=mock_get_paths):
with patch("deerflow.agents.memory.storage.get_memory_config", return_value=MemoryConfig(storage_path="")):
storage = FileMemoryStorage()
original = {"version": "1.0", "facts": []}
before_keys = set(original.keys())
storage.save(original)
assert set(original.keys()) == before_keys, "save() must not add keys to caller's dict"
assert "lastUpdated" not in original
def test_cache_not_corrupted_when_save_fails(self, tmp_path):
"""Cache must remain clean when save() raises OSError.
If save() fails, the cache must NOT be updated with the new data.
Together with the deepcopy in updater._finalize_update(), this prevents
stale mutations from leaking into the cache when persistence fails.
"""
memory_file = tmp_path / "memory.json"
memory_file.parent.mkdir(parents=True, exist_ok=True)
original_data = {"version": "1.0", "facts": [{"content": "original"}]}
import json as _json
memory_file.write_text(_json.dumps(original_data))
def mock_get_paths():
mock_paths = MagicMock()
mock_paths.memory_file = memory_file
return mock_paths
with patch("deerflow.agents.memory.storage.get_paths", side_effect=mock_get_paths):
with patch("deerflow.agents.memory.storage.get_memory_config", return_value=MemoryConfig(storage_path="")):
storage = FileMemoryStorage()
# Warm the cache
cached = storage.load()
assert cached["facts"][0]["content"] == "original"
# Simulate save failure: mkdir succeeds but open() raises
modified = {"version": "1.0", "facts": [{"content": "mutated"}]}
with patch("builtins.open", side_effect=OSError("disk full")):
result = storage.save(modified)
assert result is False
# Cache must still reflect the original data, not the failed write
after = storage.load()
assert after["facts"][0]["content"] == "original"
def test_cache_thread_safety(self, tmp_path):
"""Concurrent load/reload calls must not race on _memory_cache."""
memory_file = tmp_path / "memory.json"
memory_file.parent.mkdir(parents=True, exist_ok=True)
import json as _json
memory_file.write_text(_json.dumps({"version": "1.0", "facts": []}))
def mock_get_paths():
mock_paths = MagicMock()
mock_paths.memory_file = memory_file
return mock_paths
errors: list[Exception] = []
def load_many(storage: FileMemoryStorage) -> None:
try:
for _ in range(50):
storage.load()
except Exception as exc:
errors.append(exc)
with patch("deerflow.agents.memory.storage.get_paths", side_effect=mock_get_paths):
with patch("deerflow.agents.memory.storage.get_memory_config", return_value=MemoryConfig(storage_path="")):
storage = FileMemoryStorage()
threads = [threading.Thread(target=load_many, args=(storage,)) for _ in range(8)]
for t in threads:
t.start()
for t in threads:
t.join()
assert not errors, f"Thread-safety errors: {errors}"
def test_reload_forces_cache_invalidation(self, tmp_path):
"""Should force reload from file and invalidate cache."""
memory_file = tmp_path / "memory.json"
memory_file.parent.mkdir(parents=True, exist_ok=True)
memory_file.write_text('{"version": "1.0", "facts": [{"content": "initial fact"}]}')
def mock_get_paths():
mock_paths = MagicMock()
mock_paths.memory_file = memory_file
return mock_paths
with patch("deerflow.agents.memory.storage.get_paths", side_effect=mock_get_paths):
storage = FileMemoryStorage(_TEST_MEMORY_CONFIG)
# First load
memory1 = storage.load()
assert memory1["facts"][0]["content"] == "initial fact"
# Update file directly
memory_file.write_text('{"version": "1.0", "facts": [{"content": "updated fact"}]}')
# Reload should get updated data
memory2 = storage.reload()
assert memory2["facts"][0]["content"] == "updated fact"
class TestGetMemoryStorage:
"""Test get_memory_storage function."""
@pytest.fixture(autouse=True)
def reset_storage_instance(self):
"""Reset the global storage instance before and after each test."""
import deerflow.agents.memory.storage as storage_mod
storage_mod._storage_instance = None
yield
storage_mod._storage_instance = None
def test_returns_file_memory_storage_by_default(self):
"""Should return FileMemoryStorage by default."""
storage = get_memory_storage(_TEST_MEMORY_CONFIG)
assert isinstance(storage, FileMemoryStorage)
def test_falls_back_to_file_memory_storage_on_error(self):
"""Should fall back to FileMemoryStorage if configured storage fails to load."""
storage = get_memory_storage(_TEST_MEMORY_CONFIG)
assert isinstance(storage, FileMemoryStorage)
def test_returns_singleton_instance(self):
"""Should return the same instance on subsequent calls."""
storage1 = get_memory_storage(_TEST_MEMORY_CONFIG)
storage2 = get_memory_storage(_TEST_MEMORY_CONFIG)
assert storage1 is storage2
def test_get_memory_storage_thread_safety(self):
"""Should safely initialize the singleton even with concurrent calls."""
results = []
def get_storage():
# get_memory_storage is called concurrently from multiple threads while
# AppConfig.get is patched once around thread creation. This verifies
# that the singleton initialization remains thread-safe.
results.append(get_memory_storage(_TEST_MEMORY_CONFIG))
threads = [threading.Thread(target=get_storage) for _ in range(10)]
for t in threads:
t.start()
for t in threads:
t.join()
# All results should be the exact same instance
assert len(results) == 10
assert all(r is results[0] for r in results)
def test_get_memory_storage_invalid_class_fallback(self):
"""Should fall back to FileMemoryStorage if the configured class is not actually a class."""
# Using a built-in function instead of a class
storage = get_memory_storage(_TEST_MEMORY_CONFIG)
assert isinstance(storage, FileMemoryStorage)
def test_get_memory_storage_non_subclass_fallback(self):
"""Should fall back to FileMemoryStorage if the configured class is not a subclass of MemoryStorage."""
# Using 'dict' as a class that is not a MemoryStorage subclass
storage = get_memory_storage(_TEST_MEMORY_CONFIG)
assert isinstance(storage, FileMemoryStorage)