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bf6dbfa 0643073 bf6dbfa 0643073 bf6dbfa 0643073 bf6dbfa 0643073 bf6dbfa 0643073 bf6dbfa | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 | import pytest
from agent.nodes import process_lead, LeadExtractionResponse
from agent.state import AgentState
from langchain_core.runnables import RunnableLambda
def test_lead_workflow_step_by_step(mocker):
state = AgentState(
conversation_history=[],
current_message="I want the Pro plan for my YouTube channel",
detected_intent="HIGH_INTENT_LEAD",
retrieved_documents=[],
user_name=None,
user_email=None,
creator_platform=None,
lead_ready=False,
response=""
)
mock_llm = mocker.MagicMock()
mock_chain_1 = RunnableLambda(lambda x: LeadExtractionResponse(user_name=None, user_email=None, creator_platform="YouTube"))
mock_llm.with_structured_output.return_value = mock_chain_1
mocker.patch('agent.nodes.get_llm', return_value=mock_llm)
result = process_lead(state)
assert result.get("user_name") is None
assert result.get("creator_platform") == "YouTube"
assert "name" in result["response"].lower()
state.update(result)
state["conversation_history"].append({"role": "user", "content": state["current_message"]})
state["conversation_history"].append({"role": "assistant", "content": state["response"]})
state["current_message"] = "My name is Alex"
mock_chain_2 = RunnableLambda(lambda x: LeadExtractionResponse(user_name="Alex", user_email=None, creator_platform=None))
mock_llm.with_structured_output.return_value = mock_chain_2
result = process_lead(state)
assert result.get("user_name") == "Alex"
assert "email" in result["response"].lower()
state.update(result)
state["conversation_history"].append({"role": "user", "content": state["current_message"]})
state["conversation_history"].append({"role": "assistant", "content": state["response"]})
state["current_message"] = "alex@email.com"
mock_chain_3 = RunnableLambda(lambda x: LeadExtractionResponse(user_name=None, user_email="alex@email.com", creator_platform=None))
mock_llm.with_structured_output.return_value = mock_chain_3
result = process_lead(state)
assert result.get("user_email") == "alex@email.com"
assert result.get("lead_ready") is True
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