58 lines
1.8 KiB
Python
58 lines
1.8 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, List
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class GraphState(TypedDict):
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human_value: str | None
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foo: str | None
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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 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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# interrupt returns None; graph pauses until resumed
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interrupt(payload)
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# After resume, state will contain the answer in payload['answer']
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answer = state.get("answer")
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state["human_value"] = answer
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return state
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builder = StateGraph(GraphState)
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builder.add_node("interrupt", interrupt_node)
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builder.set_entry_point("interrupt")
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builder.add_edge(START, "interrupt")
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builder.add_edge("interrupt", "interrupt") # loop to finish
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graph = builder.compile(checkpointer=InMemorySaver())
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# Run graph with interrupt handling
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config = {"configurable": {"thread_id": "demo"}}
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# Initial state
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state: GraphState = {"human_value": None, "foo": None}
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# Stream execution
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for chunk in graph.stream(state, config):
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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
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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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# Resume with answer
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payload["answer"] = answer
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resume = Command(resume=payload)
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for _ in graph.stream(resume, config):
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pass
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else:
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# Final state output
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print("Final state:", chunk)
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