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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).
105 lines
3.7 KiB
Python
105 lines
3.7 KiB
Python
from unittest.mock import MagicMock, patch
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from deerflow.agents.memory.queue import ConversationContext, MemoryUpdateQueue
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from deerflow.config.app_config import AppConfig
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from deerflow.config.memory_config import MemoryConfig
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from deerflow.config.sandbox_config import SandboxConfig
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# --- Phase 2 config-refactor test helper ---
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# Memory APIs now take MemoryConfig / AppConfig explicitly. Tests construct a
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# minimal config once and reuse it across call sites.
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from deerflow.config.app_config import AppConfig as _TestAppConfig
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from deerflow.config.memory_config import MemoryConfig as _TestMemoryConfig
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from deerflow.config.sandbox_config import SandboxConfig as _TestSandboxConfig
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_TEST_MEMORY_CONFIG = _TestMemoryConfig(enabled=True)
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_TEST_APP_CONFIG = _TestAppConfig(sandbox=_TestSandboxConfig(use="test"), memory=_TEST_MEMORY_CONFIG)
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# -------------------------------------------
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def _make_config(**memory_overrides) -> AppConfig:
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return AppConfig(sandbox=SandboxConfig(use="test"), memory=MemoryConfig(**memory_overrides))
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def test_queue_add_preserves_existing_correction_flag_for_same_thread() -> None:
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queue = MemoryUpdateQueue(_TEST_APP_CONFIG)
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with (
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patch.object(AppConfig, "current", return_value=_make_config(enabled=True)),
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patch.object(queue, "_reset_timer"),
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):
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queue.add(thread_id="thread-1", messages=["first"], correction_detected=True)
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queue.add(thread_id="thread-1", messages=["second"], correction_detected=False)
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assert len(queue._queue) == 1
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assert queue._queue[0].messages == ["second"]
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assert queue._queue[0].correction_detected is True
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def test_process_queue_forwards_correction_flag_to_updater() -> None:
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queue = MemoryUpdateQueue(_TEST_APP_CONFIG)
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queue._queue = [
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ConversationContext(
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thread_id="thread-1",
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messages=["conversation"],
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agent_name="lead_agent",
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correction_detected=True,
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)
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]
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mock_updater = MagicMock()
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mock_updater.update_memory.return_value = True
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with patch("deerflow.agents.memory.updater.MemoryUpdater", return_value=mock_updater):
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queue._process_queue()
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mock_updater.update_memory.assert_called_once_with(
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messages=["conversation"],
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thread_id="thread-1",
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agent_name="lead_agent",
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correction_detected=True,
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reinforcement_detected=False,
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user_id=None,
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)
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def test_queue_add_preserves_existing_reinforcement_flag_for_same_thread() -> None:
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queue = MemoryUpdateQueue(_TEST_APP_CONFIG)
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with (
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patch.object(AppConfig, "current", return_value=_make_config(enabled=True)),
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patch.object(queue, "_reset_timer"),
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):
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queue.add(thread_id="thread-1", messages=["first"], reinforcement_detected=True)
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queue.add(thread_id="thread-1", messages=["second"], reinforcement_detected=False)
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assert len(queue._queue) == 1
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assert queue._queue[0].messages == ["second"]
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assert queue._queue[0].reinforcement_detected is True
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def test_process_queue_forwards_reinforcement_flag_to_updater() -> None:
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queue = MemoryUpdateQueue(_TEST_APP_CONFIG)
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queue._queue = [
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ConversationContext(
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thread_id="thread-1",
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messages=["conversation"],
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agent_name="lead_agent",
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reinforcement_detected=True,
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)
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]
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mock_updater = MagicMock()
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mock_updater.update_memory.return_value = True
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with patch("deerflow.agents.memory.updater.MemoryUpdater", return_value=mock_updater):
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queue._process_queue()
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mock_updater.update_memory.assert_called_once_with(
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messages=["conversation"],
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thread_id="thread-1",
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agent_name="lead_agent",
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correction_detected=False,
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reinforcement_detected=True,
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user_id=None,
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)
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