31 lines
1.1 KiB
Python
31 lines
1.1 KiB
Python
from unittest.mock import MagicMock, patch
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from ea_chatbot.graph.nodes.reflector import reflector_node
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from ea_chatbot.graph.state import AgentState
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def test_reflector_node_satisfied():
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"""Verify that the reflector node increments current_step when satisfied."""
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state = AgentState(
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checklist=[{"task": "Analyze votes", "worker": "data_analyst"}],
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current_step=0,
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messages=[],
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question="test",
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analysis={},
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next_action="",
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iterations=0,
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vfs={},
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plots=[],
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dfs={},
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summary="Worker successfully analyzed votes and found 5 million."
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)
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# Mocking the LLM to return 'satisfied=True'
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with patch("ea_chatbot.graph.nodes.reflector.get_llm_model") as mock_get_llm:
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mock_llm = MagicMock()
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mock_llm.with_structured_output.return_value.invoke.return_value = MagicMock(satisfied=True, reasoning="Good.")
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mock_get_llm.return_value = mock_llm
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result = reflector_node(state)
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assert result["current_step"] == 1
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assert result["next_action"] == "delegate" # Route back to delegate for next task
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