68c0985482
- Refactored OIDC flow to implement PKCE, state/nonce validation, and BFF pattern. - Centralized configuration in Settings class (DEV_MODE, FRONTEND_URL, OIDC_REDIRECT_URI). - Updated auth routers to use conditional secure cookie flags based on DEV_MODE. - Modernized and cleaned up test suite by removing legacy Streamlit tests. - Fixed linting errors and unused imports across the backend.
45 lines
1.4 KiB
Python
45 lines
1.4 KiB
Python
import pytest
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from unittest.mock import MagicMock, patch
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from ea_chatbot.graph.nodes.query_analyzer import query_analyzer_node, QueryAnalysis
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@pytest.fixture
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def mock_state():
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return {
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"messages": [],
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"question": "Show me the 2024 results for Florida",
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"analysis": None,
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"next_action": ""
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}
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@patch("ea_chatbot.graph.nodes.query_analyzer.get_llm_model")
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@patch("ea_chatbot.graph.nodes.query_analyzer.get_logger")
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def test_query_analyzer_logs_actions(mock_get_logger, mock_get_llm, mock_state):
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"""Test that query_analyzer_node logs its main actions."""
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# Mock Logger
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mock_logger = MagicMock()
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mock_get_logger.return_value = mock_logger
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# Mock LLM
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mock_llm_instance = MagicMock()
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mock_get_llm.return_value = mock_llm_instance
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mock_structured_llm = MagicMock()
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mock_llm_instance.with_structured_output.return_value = mock_structured_llm
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expected_analysis = QueryAnalysis(
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data_required=["2024 results", "Florida"],
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unknowns=[],
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ambiguities=[],
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conditions=[],
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next_action="plan"
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)
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mock_structured_llm.invoke.return_value = expected_analysis
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query_analyzer_node(mock_state)
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# Check that logger was called
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# We expect at least one log at the start and one at the end
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assert mock_logger.info.called
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# Verify specific log messages if we decide on them
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# For now, just ensuring it's called is enough for Red phase
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