{ "cells": [ { "cell_type": "code", "id": "initial_id", "metadata": { "collapsed": true, "ExecuteTime": { "end_time": "2026-08-16T08:06:49.591291Z", "start_time": "2026-08-16T08:06:49.559898Z" } }, "source": [ "from typing import TypedDict\n", "\n", "\n", "class OverallState(TypedDict):\n", " raw_text: str # 未清洗的文本\n", " stripped_text: str # 去除首尾空格\n", " punctuated: str # 句尾添加句号\n", "\n", "\n", "# 去除空格\n", "def sub_graph_strip_node(state: OverallState) -> OverallState:\n", " raw_text = state[\"raw_text\"]\n", " stripped_text = raw_text.strip()\n", " return OverallState(stripped_text=stripped_text)\n", "\n", "\n", "# 添加句号\n", "def sub_graph_punctuate_node(state: OverallState) -> OverallState:\n", " striped_text = state[\"stripped_text\"]\n", " punctuated_text = striped_text + \"。\"\n", " return OverallState(punctuated=punctuated_text)\n", "\n", "\n", "from langgraph.graph import StateGraph, START, END\n", "\n", "builder = StateGraph(state_schema=OverallState)\n", "builder.add_node(\"sub_graph_strip_node\", sub_graph_strip_node)\n", "builder.add_node(\"sub_graph_punctuate_node\", sub_graph_punctuate_node)\n", "builder.add_edge(START, \"sub_graph_strip_node\")\n", "builder.add_edge(\"sub_graph_strip_node\", \"sub_graph_punctuate_node\")\n", "builder.add_edge(\"sub_graph_punctuate_node\", END)\n", "sub_graph = builder.compile()" ], "outputs": [], "execution_count": 5 }, { "metadata": { "ExecuteTime": { "end_time": "2026-08-16T08:06:49.610607Z", "start_time": "2026-08-16T08:06:49.592754Z" } }, "cell_type": "code", "source": [ "res = sub_graph.invoke({\"raw_text\": \" langgraph hhh \"})\n", "print(res)" ], "id": "d08491988d8ae516", "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "{'raw_text': ' langgraph hhh ', 'stripped_text': 'langgraph hhh', 'punctuated': 'langgraph hhh。'}\n" ] } ], "execution_count": 6 }, { "metadata": { "ExecuteTime": { "end_time": "2026-08-16T08:06:49.627325Z", "start_time": "2026-08-16T08:06:49.618778Z" } }, "cell_type": "code", "source": [ "parent_builder = StateGraph(state_schema=OverallState)\n", "parent_builder.add_node(\"subgraph_node\",sub_graph)\n", "parent_builder.add_edge(START, \"subgraph_node\")\n", "parent_builder.add_edge(\"subgraph_node\", END)\n", "graph = parent_builder.compile()" ], "id": "d8fe093006e4faf7", "outputs": [], "execution_count": 7 }, { "metadata": { "ExecuteTime": { "end_time": "2026-08-16T08:06:49.650628Z", "start_time": "2026-08-16T08:06:49.628799Z" } }, "cell_type": "code", "source": [ "res = graph.invoke({\"raw_text\": \" langgraph hhh \"})\n", "print(res)" ], "id": "cc81bb056283aff9", "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "{'raw_text': ' langgraph hhh ', 'stripped_text': 'langgraph hhh', 'punctuated': 'langgraph hhh。'}\n" ] } ], "execution_count": 8 }, { "metadata": { "ExecuteTime": { "end_time": "2026-08-16T08:06:50.569935Z", "start_time": "2026-08-16T08:06:49.651798Z" } }, "cell_type": "code", "source": [ "from IPython.display import display, Image\n", "\n", "display(graph)" ], "id": "3fc162d77b93e294", "outputs": [ { "data": { "text/plain": [ "" ], "image/png": 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" }, "metadata": {}, "output_type": "display_data" } ], "execution_count": 9 }, { "metadata": { "ExecuteTime": { "end_time": "2026-08-16T08:06:52.321685Z", "start_time": "2026-08-16T08:06:50.578926Z" } }, "cell_type": "code", "source": [ "display(\n", " Image(graph.get_graph(xray=True).draw_mermaid_png())\n", ")" ], "id": "ffdb183df69a54d7", "outputs": [ { "data": { "image/png": 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", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "execution_count": 10 }, { "metadata": { "ExecuteTime": { "end_time": "2026-08-16T08:06:55.450851Z", "start_time": "2026-08-16T08:06:52.330902Z" } }, "cell_type": "code", "source": [ "for item in list(graph.get_subgraphs()):\n", " display(item[1])" ], "id": "9de53e36fca2016a", "outputs": [ { "data": { "text/plain": [ "" ], "image/png": 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" }, "metadata": {}, "output_type": "display_data" } ], "execution_count": 11 } ], "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 }