36 lines
1.3 KiB
Python
36 lines
1.3 KiB
Python
import pytest
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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_does_not_advance_on_failure():
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"""Verify that reflector does not increment current_step if not satisfied."""
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state = AgentState(
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checklist=[{"task": "Task 1", "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="Failed output"
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)
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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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# Mark as NOT satisfied
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mock_llm.with_structured_output.return_value.invoke.return_value = MagicMock(satisfied=False, reasoning="Incomplete.")
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mock_get_llm.return_value = mock_llm
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result = reflector_node(state)
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# Should NOT increment (therefore not in the updates dict)
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assert "current_step" not in result
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# Should increment iterations
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assert result["iterations"] == 1
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# Should probably route to planner or retry
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assert result["next_action"] == "delegate" # Or 'planner' if we want re-planning
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