feat: implement mvp with email-first login flow and langgraph architecture

tests/test_query_analyzer_logging.py

@@ -0,0 +1,45 @@
+import pytest
+import logging
+from unittest.mock import MagicMock, patch
+from ea_chatbot.graph.nodes.query_analyzer import query_analyzer_node, QueryAnalysis
+
+@pytest.fixture
+def mock_state():
+    return {
+        "messages": [],
+        "question": "Show me the 2024 results for Florida",
+        "analysis": None,
+        "next_action": ""
+    }
+
+@patch("ea_chatbot.graph.nodes.query_analyzer.get_llm_model")
+@patch("ea_chatbot.graph.nodes.query_analyzer.get_logger")
+def test_query_analyzer_logs_actions(mock_get_logger, mock_get_llm, mock_state):
+    """Test that query_analyzer_node logs its main actions."""
+    # Mock Logger
+    mock_logger = MagicMock()
+    mock_get_logger.return_value = mock_logger
+    
+    # Mock LLM
+    mock_llm_instance = MagicMock()
+    mock_get_llm.return_value = mock_llm_instance
+    mock_structured_llm = MagicMock()
+    mock_llm_instance.with_structured_output.return_value = mock_structured_llm
+    
+    expected_analysis = QueryAnalysis(
+        data_required=["2024 results", "Florida"],
+        unknowns=[],
+        ambiguities=[],
+        conditions=[],
+        next_action="plan"
+    )
+    mock_structured_llm.invoke.return_value = expected_analysis
+    
+    query_analyzer_node(mock_state)
+    
+    # Check that logger was called
+    # We expect at least one log at the start and one at the end
+    assert mock_logger.info.called
+    
+    # Verify specific log messages if we decide on them
+    # For now, just ensuring it's called is enough for Red phase