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.
48 lines
1.5 KiB
Python
48 lines
1.5 KiB
Python
import pytest
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from unittest.mock import MagicMock, patch
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from langchain_core.messages import AIMessage
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from ea_chatbot.graph.nodes.summarizer import summarizer_node
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@pytest.fixture
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def mock_llm():
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with patch("ea_chatbot.graph.nodes.summarizer.get_llm_model") as mock_get_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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yield mock_llm_instance
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def test_summarizer_node_success(mock_llm):
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"""Test that summarizer_node invokes LLM with correct inputs and returns messages."""
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state = {
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"question": "What is the total count?",
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"plan": "1. Run query\n2. Sum results",
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"code_output": "The total is 100",
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"messages": []
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}
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mock_llm.invoke.return_value = AIMessage(content="The final answer is 100.")
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result = summarizer_node(state)
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# Verify LLM was called
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assert mock_llm.invoke.called
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# Verify result structure
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assert "messages" in result
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assert len(result["messages"]) == 1
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assert isinstance(result["messages"][0], AIMessage)
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assert result["messages"][0].content == "The final answer is 100."
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def test_summarizer_node_empty_state(mock_llm):
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"""Test handling of empty or minimal state."""
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state = {
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"question": "Empty?",
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"messages": []
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}
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mock_llm.invoke.return_value = AIMessage(content="No data provided.")
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result = summarizer_node(state)
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assert "messages" in result
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assert result["messages"][0].content == "No data provided."
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