feat(orchestrator): Implement high-level task decomposition in Planner node

backend/tests/test_orchestrator_planner.py

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+from typing import get_type_hints, List
+from ea_chatbot.graph.nodes.planner import planner_node
+from ea_chatbot.graph.state import AgentState
+
+def test_planner_node_checklist():
+    """Verify that the planner node generates a checklist."""
+    state = AgentState(
+        messages=[],
+        question="How many voters are in Florida and what is the current news?",
+        analysis={"requires_dataset": True},
+        next_action="plan",
+        iterations=0,
+        checklist=[],
+        current_step=0,
+        vfs={},
+        plots=[],
+        dfs={}
+    )
+    
+    # Mocking the LLM would be ideal, but for now we'll check the returned keys
+    # and assume the implementation provides them.
+    # In a real TDD, we'd mock the LLM to return a specific structure.
+    
+    # For now, let's assume the task is to update 'planner_node' to return these keys.
+    result = planner_node(state)
+    
+    assert "checklist" in result
+    assert isinstance(result["checklist"], list)
+    assert len(result["checklist"]) > 0
+    assert "task" in result["checklist"][0]
+    assert "worker" in result["checklist"][0] # 'data_analyst' or 'researcher'
+    
+    assert "current_step" in result
+    assert result["current_step"] == 0