langgraph-learning/chapter04/02_interrupt_并行.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "id": "initial_id",
   "metadata": {
    "collapsed": true,
    "ExecuteTime": {
     "end_time": "2026-08-08T04:11:13.127896Z",
     "start_time": "2026-08-08T04:11:12.847837Z"
    }
   },
   "source": [
    "from typing import TypedDict\n",
    "\n",
    "from langgraph.graph import StateGraph, START, END\n",
    "from langgraph.types import Command, interrupt\n",
    "from langgraph.checkpoint.memory import InMemorySaver\n",
    "\n",
    "class OverAllState(TypedDict):\n",
    "    username: str\n",
    "    age: int\n",
    "\n",
    "def node_a(state: OverAllState) -> OverAllState:\n",
    "    username = interrupt(\"请输入您的姓名\")\n",
    "    return {\n",
    "        \"username\": username\n",
    "    }\n",
    "\n",
    "def node_b(state: OverAllState) -> OverAllState:\n",
    "    age = interrupt(\"请输入您的年龄\")\n",
    "    return {\n",
    "        \"age\": age\n",
    "    }\n",
    "\n",
    "builder = StateGraph(state_schema=OverAllState)\n",
    "builder.add_node(\"node_a\", node_a)\n",
    "builder.add_node(\"node_b\", node_b)\n",
    "builder.add_edge(START, \"node_a\")\n",
    "builder.add_edge(START, \"node_b\")\n",
    "builder.add_edge(\"node_a\", END)\n",
    "builder.add_edge(\"node_b\", END)\n",
    "\n",
    "checkpointer = InMemorySaver()\n",
    "graph = builder.compile(checkpointer=checkpointer)"
   ],
   "outputs": [],
   "execution_count": 1
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-08-08T04:11:28.447300Z",
     "start_time": "2026-08-08T04:11:26.041846Z"
    }
   },
   "cell_type": "code",
   "source": [
    "\n",
    "from IPython.display import display\n",
    "display(graph)\n",
    "\n",
    "config = {\"configurable\": {\"thread_id\": \"123\"}}\n",
    "interrupted_res = graph.invoke({}, config=config)\n",
    "print('=' * 30, '-> interrupt_res <-', '=' * 30)\n",
    "print(interrupted_res)"
   ],
   "id": "abcc8cd4f3bd84f3",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<langgraph.graph.state.CompiledStateGraph object at 0x10c3a7380>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "============================== -> interrupt_res <- ==============================\n",
      "{'__interrupt__': [Interrupt(value='请输入您的姓名', id='e9519e001a32c19a70ca7cc46f4f11e2'), Interrupt(value='请输入您的年龄', id='df991c247fd4883d31b3c252b9e3f1fb')]}\n"
     ]
    }
   ],
   "execution_count": 2
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-08-08T04:11:56.635076Z",
     "start_time": "2026-08-08T04:11:48.097926Z"
    }
   },
   "cell_type": "code",
   "source": [
    "\n",
    "resume_map = {}\n",
    "for i in interrupted_res['__interrupt__']:\n",
    "    user_input = input(f\"{i.value}: \")\n",
    "    if \"年龄\" in i.value:\n",
    "        resume_map[i.id] = int(user_input)\n",
    "    else:\n",
    "        resume_map[i.id] = user_input\n",
    "\n",
    "resumed_res = graph.invoke(Command(resume=resume_map), config=config)\n",
    "print('=' * 30, '-> resumed_res <-', '=' * 30)\n",
    "print(resumed_res)"
   ],
   "id": "87688f85a8052f23",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "============================== -> resumed_res <- ==============================\n",
      "{'username': 'gqt', 'age': 18}\n"
     ]
    }
   ],
   "execution_count": 3
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}