{
 "cells": [
  {
   "cell_type": "code",
   "id": "initial_id",
   "metadata": {
    "collapsed": true,
    "ExecuteTime": {
     "end_time": "2026-08-01T07:13:47.504750Z",
     "start_time": "2026-08-01T07:13:47.481437Z"
    }
   },
   "source": [
    "\"\"\"\n",
    "剩余step不足优雅退出\n",
    "\"\"\"\n",
    "from typing import TypedDict, Literal\n",
    "\n",
    "from langchain_core.runnables import RunnableConfig\n",
    "from langgraph.managed import RemainingSteps\n",
    "from loguru import logger\n",
    "from langgraph.graph import StateGraph, START, END\n",
    "\n",
    "\n",
    "class OverallState(TypedDict):\n",
    "    remaining_steps: RemainingSteps\n",
    "\n",
    "\n",
    "def loop_node(state: OverallState, config: RunnableConfig) -> OverallState:\n",
    "    current_step = config[\"metadata\"][\"langgraph_step\"]\n",
    "    remaining_steps = state[\"remaining_steps\"]\n",
    "    logger.info(f\"Current step: {current_step},Remaining step: {remaining_steps}\")\n",
    "\n",
    "\n",
    "def router(state: OverallState) -> Literal[\"loop_node\", \"__end__\"]:\n",
    "    remaining_steps = state[\"remaining_steps\"]\n",
    "    if remaining_steps < 3:\n",
    "        logger.info(f\"Remaining steps: {remaining_steps}, Ending\")\n",
    "        return END\n",
    "    return \"loop_node\"\n",
    "\n",
    "\n",
    "builder = StateGraph(state_schema=OverallState)\n",
    "builder.add_node(\"loop_node\", loop_node)\n",
    "builder.add_edge(START, \"loop_node\")\n",
    "builder.add_conditional_edges(\"loop_node\", router)"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<langgraph.graph.state.StateGraph at 0x10c3b9810>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 5
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-08-01T07:13:47.564382Z",
     "start_time": "2026-08-01T07:13:47.505305Z"
    }
   },
   "cell_type": "code",
   "source": [
    "graph = builder.compile()\n",
    "graph.invoke({}, config={\"recursion_limit\": 10})"
   ],
   "id": "2b912f7145140920",
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001B[32m2026-08-01 15:13:47.508\u001B[0m | \u001B[1mINFO    \u001B[0m | \u001B[36m__main__\u001B[0m:\u001B[36mloop_node\u001B[0m:\u001B[36m19\u001B[0m - \u001B[1mCurrent step: 1,Remaining step: 9\u001B[0m\n",
      "\u001B[32m2026-08-01 15:13:47.508\u001B[0m | \u001B[1mINFO    \u001B[0m | \u001B[36m__main__\u001B[0m:\u001B[36mloop_node\u001B[0m:\u001B[36m19\u001B[0m - \u001B[1mCurrent step: 2,Remaining step: 8\u001B[0m\n",
      "\u001B[32m2026-08-01 15:13:47.509\u001B[0m | \u001B[1mINFO    \u001B[0m | \u001B[36m__main__\u001B[0m:\u001B[36mloop_node\u001B[0m:\u001B[36m19\u001B[0m - \u001B[1mCurrent step: 3,Remaining step: 7\u001B[0m\n",
      "\u001B[32m2026-08-01 15:13:47.509\u001B[0m | \u001B[1mINFO    \u001B[0m | \u001B[36m__main__\u001B[0m:\u001B[36mloop_node\u001B[0m:\u001B[36m19\u001B[0m - \u001B[1mCurrent step: 4,Remaining step: 6\u001B[0m\n",
      "\u001B[32m2026-08-01 15:13:47.510\u001B[0m | \u001B[1mINFO    \u001B[0m | \u001B[36m__main__\u001B[0m:\u001B[36mloop_node\u001B[0m:\u001B[36m19\u001B[0m - \u001B[1mCurrent step: 5,Remaining step: 5\u001B[0m\n",
      "\u001B[32m2026-08-01 15:13:47.510\u001B[0m | \u001B[1mINFO    \u001B[0m | \u001B[36m__main__\u001B[0m:\u001B[36mloop_node\u001B[0m:\u001B[36m19\u001B[0m - \u001B[1mCurrent step: 6,Remaining step: 4\u001B[0m\n",
      "\u001B[32m2026-08-01 15:13:47.511\u001B[0m | \u001B[1mINFO    \u001B[0m | \u001B[36m__main__\u001B[0m:\u001B[36mloop_node\u001B[0m:\u001B[36m19\u001B[0m - \u001B[1mCurrent step: 7,Remaining step: 3\u001B[0m\n",
      "\u001B[32m2026-08-01 15:13:47.511\u001B[0m | \u001B[1mINFO    \u001B[0m | \u001B[36m__main__\u001B[0m:\u001B[36mloop_node\u001B[0m:\u001B[36m19\u001B[0m - \u001B[1mCurrent step: 8,Remaining step: 2\u001B[0m\n",
      "\u001B[32m2026-08-01 15:13:47.511\u001B[0m | \u001B[1mINFO    \u001B[0m | \u001B[36m__main__\u001B[0m:\u001B[36mrouter\u001B[0m:\u001B[36m25\u001B[0m - \u001B[1mRemaining steps: 2, Ending\u001B[0m\n"
     ]
    }
   ],
   "execution_count": 6
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-08-01T07:13:50.095130Z",
     "start_time": "2026-08-01T07:13:47.569216Z"
    }
   },
   "cell_type": "code",
   "source": [
    "from IPython.display import display\n",
    "\n",
    "display(graph)"
   ],
   "id": "7049233147500b5a",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<langgraph.graph.state.CompiledStateGraph object at 0x10c3b9a90>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 7
  }
 ],
 "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
}