mirror of
https://github.com/bytedance/deer-flow.git
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edf345cd72
- Freeze all config models (AppConfig + 15 sub-configs) with frozen=True - Purify from_file() — remove 9 load_*_from_dict() side-effect calls - Replace mtime/reload/push/pop machinery with single ContextVar + init_app_config() - Delete 10 sub-module globals and their getters/setters/loaders - Migrate 50+ consumers from get_*_config() to get_app_config().xxx - Expand DeerFlowContext: app_config + thread_id + agent_name (frozen dataclass) - Wire into Gateway runtime (worker.py) and DeerFlowClient via context= parameter - Remove sandbox_id from runtime.context — flows through ThreadState.sandbox only - Middleware/tools access runtime.context directly via Runtime[DeerFlowContext] generic - resolve_context() retained at server entry points for LangGraph Server fallback
91 lines
3.0 KiB
Python
91 lines
3.0 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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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()
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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()
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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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)
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def test_queue_add_preserves_existing_reinforcement_flag_for_same_thread() -> None:
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queue = MemoryUpdateQueue()
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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()
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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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)
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