feat(orchestrator): Implement Reflector node for task evaluation and plan advancement

backend/tests/test_orchestrator_reflector.py

@@ -0,0 +1,30 @@
+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