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Tail-end of Phase 2: - Migrate ~70 remaining test sites off AppConfig.current(): drop dead monkey-patches (production no longer calls current), hoist the mocked config into a local variable and pass it explicitly. Verified with `grep -rn 'AppConfig\.current' backend/tests` → empty. - Delete the AppConfig.current() classmethod entirely. The transitional raise-only shim is no longer needed now that no test references it. - Update docs: plan marked shipped (P2-6..P2-10 in commit 84dccef2); backend/CLAUDE.md Config Lifecycle rewritten to describe the explicit-parameter design; gateway/deps.py docstrings no longer point at the removed current() surface. AppConfig is now a pure Pydantic value object. Every consumer holds its own captured instance — Gateway (app.state.config via Depends(get_config)), DeerFlowClient (self._app_config), agent runtime (DeerFlowContext.app_config), LangGraph Server bootstrap (AppConfig.from_file() inside make_lead_agent). 2337 non-e2e tests pass.
99 lines
3.5 KiB
Python
99 lines
3.5 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 patch.object(queue, "_reset_timer"):
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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 patch.object(queue, "_reset_timer"):
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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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