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google-labs-jules[bot]
feat: implement AutoStream conversational AI sales agent with LangGraph
bf6dbfa | import pytest | |
| from agent.nodes import detect_intent | |
| from agent.state import AgentState | |
| from agent.nodes import IntentResponse | |
| from langchain_core.runnables import RunnableLambda | |
| def test_intent_classifier_greeting(mocker): | |
| state = AgentState( | |
| conversation_history=[], | |
| current_message="Hi there", | |
| detected_intent=None, | |
| retrieved_documents=[], | |
| user_name=None, | |
| user_email=None, | |
| creator_platform=None, | |
| lead_ready=False, | |
| response="" | |
| ) | |
| mock_llm = mocker.MagicMock() | |
| mock_chain = RunnableLambda(lambda x: IntentResponse(intent="GREETING", confidence=0.99)) | |
| mock_llm.with_structured_output.return_value = mock_chain | |
| mocker.patch('agent.nodes.get_llm', return_value=mock_llm) | |
| result = detect_intent(state) | |
| assert result["detected_intent"] == "GREETING" | |
| def test_intent_classifier_pricing(mocker): | |
| state = AgentState( | |
| conversation_history=[], | |
| current_message="What are your pricing plans?", | |
| detected_intent=None, | |
| retrieved_documents=[], | |
| user_name=None, | |
| user_email=None, | |
| creator_platform=None, | |
| lead_ready=False, | |
| response="" | |
| ) | |
| mock_llm = mocker.MagicMock() | |
| mock_chain = RunnableLambda(lambda x: IntentResponse(intent="PRICING_QUERY", confidence=0.95)) | |
| mock_llm.with_structured_output.return_value = mock_chain | |
| mocker.patch('agent.nodes.get_llm', return_value=mock_llm) | |
| result = detect_intent(state) | |
| assert result["detected_intent"] == "PRICING_QUERY" | |
| def test_intent_classifier_high_intent(mocker): | |
| state = AgentState( | |
| conversation_history=[], | |
| current_message="I want to sign up for Pro plan", | |
| detected_intent=None, | |
| retrieved_documents=[], | |
| user_name=None, | |
| user_email=None, | |
| creator_platform=None, | |
| lead_ready=False, | |
| response="" | |
| ) | |
| mock_llm = mocker.MagicMock() | |
| mock_chain = RunnableLambda(lambda x: IntentResponse(intent="HIGH_INTENT_LEAD", confidence=0.91)) | |
| mock_llm.with_structured_output.return_value = mock_chain | |
| mocker.patch('agent.nodes.get_llm', return_value=mock_llm) | |
| result = detect_intent(state) | |
| assert result["detected_intent"] == "HIGH_INTENT_LEAD" | |