from unittest.mock import MagicMock, patch
from ea_chatbot.graph.nodes.reflector import reflector_node
from ea_chatbot.graph.state import AgentState

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