{
 "cells": [
  {
   "cell_type": "code",
   "id": "initial_id",
   "metadata": {
    "collapsed": true,
    "ExecuteTime": {
     "end_time": "2026-07-29T11:54:37.402220Z",
     "start_time": "2026-07-29T11:54:37.062467Z"
    }
   },
   "source": [
    "from typing import TypedDict, Annotated\n",
    "from operator import add\n",
    "\n",
    "from langgraph.graph import StateGraph, START, END\n",
    "\n",
    "\n",
    "# 1. 定义状态\n",
    "class OverAllState(TypedDict):\n",
    "    logs: Annotated[list[str], add]\n",
    "    id: str\n",
    "\n",
    "\n",
    "# 2. 定义节点\n",
    "def node_1(state: OverAllState) -> OverAllState:\n",
    "    id = state[\"id\"]\n",
    "    return {\n",
    "        \"logs\": [\"node_1 运行完了\"],\n",
    "        \"id\": id + \",node_1\"\n",
    "    }\n",
    "\n",
    "\n",
    "def node_2(state: OverAllState) -> OverAllState:\n",
    "    id = state[\"id\"]\n",
    "    return {\n",
    "        \"logs\": [\"node_2 运行完了\"],\n",
    "        \"id\": id + \",node_2\"\n",
    "    }\n",
    "\n",
    "\n",
    "# 图\n",
    "builder = StateGraph(state_schema=OverAllState)\n",
    "builder.add_node(node_1)\n",
    "builder.add_node(node_2)\n",
    "\n",
    "builder.add_edge(START, \"node_1\")\n",
    "builder.add_edge(\"node_1\", \"node_2\")\n",
    "builder.add_edge(\"node_2\", END)\n",
    "\n",
    "graph = builder.compile()\n",
    "\n",
    "result = graph.invoke({\"id\": \"gqt_\"})\n",
    "print(result)"
   ],
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'logs': ['node_1 运行完了', 'node_2 运行完了'], 'id': 'gqt_,node_1,node_2'}\n"
     ]
    }
   ],
   "execution_count": 2
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-07-29T11:54:38.247128Z",
     "start_time": "2026-07-29T11:54:37.414230Z"
    }
   },
   "cell_type": "code",
   "source": [
    "graph_mermaid=graph.get_graph().draw_mermaid()\n",
    "print(graph_mermaid)"
   ],
   "id": "615a7ac2bdbdfd2f",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---\n",
      "config:\n",
      "  flowchart:\n",
      "    curve: linear\n",
      "---\n",
      "graph TD;\n",
      "\t__start__([<p>__start__</p>]):::first\n",
      "\tnode_1(node_1)\n",
      "\tnode_2(node_2)\n",
      "\t__end__([<p>__end__</p>]):::last\n",
      "\t__start__ --> node_1;\n",
      "\tnode_1 --> node_2;\n",
      "\tnode_2 --> __end__;\n",
      "\tclassDef default fill:#f2f0ff,line-height:1.2\n",
      "\tclassDef first fill-opacity:0\n",
      "\tclassDef last fill:#bfb6fc\n",
      "\n"
     ]
    }
   ],
   "execution_count": 3
  },
  {
   "metadata": {},
   "cell_type": "code",
   "outputs": [],
   "execution_count": null,
   "source": "",
   "id": "fb967b9e12fee1c0"
  }
 ],
 "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
}