add main.py
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import questionary
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from langgraph.graph import StateGraph, START
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from langgraph.checkpoint.memory import InMemorySaver
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from langgraph.types import interrupt, Command
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from typing import TypedDict, List
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class State(TypedDict):
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human_value: str | None
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foo: str
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# Node that triggers interrupt
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async def interrupt_node(state: State) -> State:
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# Trigger interrupt with question and options
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payload = {
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"type": "confirm",
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"question": "Do you want to continue?",
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"allow_responds": ["yes", "no"],
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}
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# interrupt returns None, execution pauses until resume
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interrupt(payload)
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# After resume, state will contain human_value set by resume payload
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return state
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# Simple node to finish
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async def finish_node(state: State) -> State:
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return state
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# Build graph
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graph = StateGraph(State)
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graph.add_node("interrupt", interrupt_node)
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graph.add_node("finish", finish_node)
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graph.set_entry_point("interrupt")
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graph.add_edge("interrupt", "finish")
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# Compile with checkpoint
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checkpoint = InMemorySaver()
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graph = graph.compile(checkpointer=checkpoint)
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# Run graph with interrupt handling
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async def main():
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thread_id = "thread-1"
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config = {"configurable": {"thread_id": thread_id}}
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# Start stream
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async for chunk in graph.stream({}, config):
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if "__interrupt__" in chunk:
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# Get interrupt payload
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interrupt_payload = chunk["__interrupt__"][0].value
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# Show question to user
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answer = questionary.select(
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interrupt_payload["question"],
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choices=interrupt_payload["allow_responds"],
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).ask()
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# Resume with answer
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resume_payload = {"human_value": answer}
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async for _ in graph.stream(Command(resume=resume_payload), config):
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pass
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else:
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# Final state
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print("Final state:", chunk)
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if __name__ == "__main__":
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import asyncio
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asyncio.run(main())
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