refactor(graph): Use piped Runnables for worker nodes to enable subgraph event streaming
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@@ -16,17 +16,9 @@ from ea_chatbot.graph.nodes.summarize_conversation import summarize_conversation
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_DATA_ANALYST_WORKER = create_data_analyst_worker()
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_RESEARCHER_WORKER = create_researcher_worker()
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def data_analyst_worker_node(state: AgentState) -> dict:
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"""Wrapper node for the Data Analyst subgraph with state mapping."""
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worker_input = prepare_worker_input(state)
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worker_result = _DATA_ANALYST_WORKER.invoke(worker_input)
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return merge_worker_output(worker_result)
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def researcher_worker_node(state: AgentState) -> dict:
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"""Wrapper node for the Researcher subgraph with state mapping."""
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worker_input = prepare_researcher_input(state)
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worker_result = _RESEARCHER_WORKER.invoke(worker_input)
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return merge_researcher_output(worker_result)
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# Define worker nodes as piped runnables to enable subgraph event propagation
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data_analyst_worker_runnable = prepare_worker_input | _DATA_ANALYST_WORKER | merge_worker_output
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researcher_worker_runnable = prepare_researcher_input | _RESEARCHER_WORKER | merge_researcher_output
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def main_router(state: AgentState) -> str:
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"""Route from query analyzer based on initial assessment."""
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@@ -52,8 +44,8 @@ def create_workflow(
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query_analyzer=query_analyzer_node,
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planner=planner_node,
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delegate=delegate_node,
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data_analyst_worker=data_analyst_worker_node,
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researcher_worker=researcher_worker_node,
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data_analyst_worker=data_analyst_worker_runnable,
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researcher_worker=researcher_worker_runnable,
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reflector=reflector_node,
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synthesizer=synthesizer_node,
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clarification=clarification_node,
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