62 lines
2.0 KiB
Python
62 lines
2.0 KiB
Python
import questionary
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from langgraph.graph import StateGraph, START
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from langgraph.types import interrupt, Command
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from langgraph.checkpoint.memory import InMemorySaver
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from typing import TypedDict, Annotated
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# State definition
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class GraphState(TypedDict):
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human_value: Annotated[str | None, "value chosen by user"]
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foo: Annotated[str, "initial data placeholder"]
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# Node that triggers interrupt
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def interrupt_node(state: GraphState) -> GraphState:
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# Trigger interrupt with structured payload
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payload = {
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"type": "confirm",
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"question": "Уверены, что хотите продолжить?",
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"allow_responds": ["approve", "reject"],
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}
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# Call interrupt; execution pauses until resumed
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interrupt(payload)
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# After resume, payload will contain 'answer'
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# The node receives the resumed payload as its return value
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# We store the answer in state
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state["human_value"] = payload.get("answer")
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return state
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# Build graph
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builder = StateGraph(GraphState)
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builder.add_node("interrupt_node", interrupt_node)
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builder.add_edge(START, "interrupt_node")
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builder.add_edge("interrupt_node", END)
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# Compile with checkpoint
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graph = builder.compile(checkpointer=InMemorySaver())
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# Run graph with stream and handle interrupt
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config = {"configurable": {"thread_id": "demo"}}
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# First run: will pause at interrupt
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stream = graph.stream({}, config)
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for chunk in stream:
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if "__interrupt__" in chunk:
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# Extract payload
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payload = chunk["__interrupt__"][0].value
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# Show question and get answer
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answer = questionary.select(
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payload["question"],
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choices=payload["allow_responds"],
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).ask()
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# Add answer to payload
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payload["answer"] = answer
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# Resume graph
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stream = graph.stream(Command(resume=payload), config)
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continue
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# Print normal output
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print(chunk)
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# After stream ends, print final state
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print("Final state:", stream.final_state)
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