YunxiaoXu/ea-chatbot-lg
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fix(orchestrator): Apply refinements from code review

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Yunxiao Xu
2026-02-23 15:46:21 -08:00
parent c5cf4b38a1
commit 2cfbc5d1d0
19 changed files with 252 additions and 33 deletions
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20
backend/tests/test_workflow_e2e.py
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@@ -12,14 +12,16 @@ def mock_llms():
patch("ea_chatbot.graph.workers.data_analyst.nodes.coder.get_llm_model") as mock_coder, \
patch("ea_chatbot.graph.workers.data_analyst.nodes.summarizer.get_llm_model") as mock_worker_summarizer, \
patch("ea_chatbot.graph.nodes.synthesizer.get_llm_model") as mock_synthesizer, \
patch("ea_chatbot.graph.nodes.researcher.get_llm_model") as mock_researcher:
patch("ea_chatbot.graph.nodes.researcher.get_llm_model") as mock_researcher, \
patch("ea_chatbot.graph.nodes.reflector.get_llm_model") as mock_reflector:
yield {
"qa": mock_qa,
"planner": mock_planner,
"coder": mock_coder,
"worker_summarizer": mock_worker_summarizer,
"synthesizer": mock_synthesizer,
"researcher": mock_researcher
"researcher": mock_researcher,
"reflector": mock_reflector
}
def test_workflow_data_analysis_flow(mock_llms):
@@ -58,7 +60,12 @@ def test_workflow_data_analysis_flow(mock_llms):
mock_llms["worker_summarizer"].return_value = mock_ws_instance
mock_ws_instance.invoke.return_value = AIMessage(content="Worker Summary")
# 5. Mock Synthesizer
# 5. Mock Reflector
mock_reflector_instance = MagicMock()
mock_llms["reflector"].return_value = mock_reflector_instance
mock_reflector_instance.with_structured_output.return_value.invoke.return_value = MagicMock(satisfied=True, reasoning="Good.")
# 6. Mock Synthesizer
mock_syn_instance = MagicMock()
mock_llms["synthesizer"].return_value = mock_syn_instance
mock_syn_instance.invoke.return_value = AIMessage(content="Final Summary: Success")
@@ -111,7 +118,12 @@ def test_workflow_research_flow(mock_llms):
mock_llms["researcher"].return_value = mock_res_instance
mock_res_instance.invoke.return_value = AIMessage(content="Research Result")
# 4. Mock Synthesizer
# 4. Mock Reflector
mock_reflector_instance = MagicMock()
mock_llms["reflector"].return_value = mock_reflector_instance
mock_reflector_instance.with_structured_output.return_value.invoke.return_value = MagicMock(satisfied=True, reasoning="Good.")
# 5. Mock Synthesizer
mock_syn_instance = MagicMock()
mock_llms["synthesizer"].return_value = mock_syn_instance
mock_syn_instance.invoke.return_value = AIMessage(content="Final Research Summary")