deer-flow/backend/tests/test_memory_updater_user_isolation.py
greatmengqi 84dccef230 refactor(config): Phase 2 — eliminate AppConfig.current() ambient lookup
Finish Phase 2 of the config refactor: production code no longer calls
AppConfig.current() anywhere. AppConfig now flows as an explicit parameter
down every consumer lane.

Call-site migrations
--------------------
- Memory subsystem (queue/updater/storage): MemoryConfig captured at
  enqueue time so the Timer closure survives the ContextVar boundary.
- Sandbox layer: tools.py, security.py, sandbox_provider.py, local_sandbox_provider,
  aio_sandbox_provider all take app_config explicitly. Module-level
  caching in tools.py's path helpers is removed — pure parameter flow.
- Skills layer: manager.py + loader.py + lead_agent.prompt cache refresh
  all thread app_config; cache worker closes over it.
- Community tools (tavily, jina, firecrawl, exa, ddg, image_search,
  infoquest, aio_sandbox): read runtime.context.app_config.
- Subagents registry: get_subagent_config / list_subagents /
  get_available_subagent_names require app_config.
- Runtime worker: requires RunContext.app_config; no fallback.
- Gateway routers (uploads, skills): add Depends(get_config).
- Channels feishu: uses AppConfig.from_file() (pure) at its sync boundary.
- LangGraph Server bootstrap (make_lead_agent): falls back to
  AppConfig.from_file() — pure load, not ambient lookup.

Context resolution
------------------
- resolve_context(runtime) now raises on non-DeerFlowContext runtime.context.
  Every entry point attaches typed context; dict/None shapes are rejected
  loudly instead of being papered over with an ambient AppConfig lookup.

AppConfig lifecycle
-------------------
- AppConfig.current() kept as a deprecated slot that raises RuntimeError,
  purely so legacy tests that still run `patch.object(AppConfig, "current")`
  don't trip AttributeError at teardown. Production never calls it.
- conftest autouse fixture no longer monkey-patches `current` — it only
  stubs `from_file()` so tests don't need a real config.yaml.

Design refs
-----------
- docs/plans/2026-04-12-config-refactor-plan.md (Phase 2: P2-6..P2-10)
- docs/plans/2026-04-12-config-refactor-design.md §8

All 2338 non-e2e tests pass. Zero AppConfig.current() call sites remain
in backend/packages or backend/app (docstrings in deps.py excepted).
2026-04-17 11:14:13 +08:00

42 lines
1.9 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 user_id propagation in memory updater."""
from unittest.mock import MagicMock, patch
from deerflow.agents.memory.updater import get_memory_data, clear_memory_data, _save_memory_to_file
def test_get_memory_data_passes_user_id():
mock_storage = MagicMock()
mock_storage.load.return_value = {"version": "1.0"}
with patch("deerflow.agents.memory.updater.get_memory_storage", return_value=mock_storage):
get_memory_data(_TEST_MEMORY_CONFIG, user_id="alice")
mock_storage.load.assert_called_once_with(None, user_id="alice")
def test_save_memory_passes_user_id():
mock_storage = MagicMock()
mock_storage.save.return_value = True
with patch("deerflow.agents.memory.updater.get_memory_storage", return_value=mock_storage):
_save_memory_to_file(_TEST_MEMORY_CONFIG, {"version": "1.0"}, user_id="bob")
mock_storage.save.assert_called_once_with({"version": "1.0"}, None, user_id="bob")
def test_clear_memory_data_passes_user_id():
mock_storage = MagicMock()
mock_storage.save.return_value = True
with patch("deerflow.agents.memory.updater.get_memory_storage", return_value=mock_storage):
clear_memory_data(_TEST_MEMORY_CONFIG, user_id="charlie")
# Verify save was called with user_id
assert mock_storage.save.call_args.kwargs["user_id"] == "charlie"