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ea74367502
* fix(runtime): honor LangGraph Server identity for user-scoped data * fix(runtime): scope custom agent SOUL by resolved user
49 lines
1.4 KiB
Python
49 lines
1.4 KiB
Python
from unittest.mock import MagicMock
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from langchain_core.messages import AIMessage, HumanMessage
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from langgraph.runtime import Runtime
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from deerflow.agents.middlewares import memory_middleware as memory_middleware_module
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from deerflow.agents.middlewares.memory_middleware import MemoryMiddleware
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from deerflow.config.memory_config import MemoryConfig
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def test_after_agent_queues_memory_under_runtime_user(monkeypatch):
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manager = MagicMock()
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monkeypatch.setattr(memory_middleware_module, "get_memory_manager", lambda: manager)
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middleware = MemoryMiddleware(
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agent_name="researcher",
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memory_config=MemoryConfig(enabled=True),
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)
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runtime = Runtime(
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context={
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"thread_id": "thread-123",
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"user_id": "runtime-user",
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}
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)
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result = middleware.after_agent(
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{
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"messages": [
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HumanMessage(content="Remember this"),
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AIMessage(content="Understood"),
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]
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},
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runtime,
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)
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assert result is None
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manager.add.assert_called_once()
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call = manager.add.call_args
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assert call.args[:2] == (
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"thread-123",
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[
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HumanMessage(content="Remember this"),
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AIMessage(content="Understood"),
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],
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)
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assert call.kwargs["agent_name"] == "researcher"
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assert call.kwargs["user_id"] == "runtime-user"
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assert call.kwargs["trace_id"] is None
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