95 lines
2.9 KiB
Python
95 lines
2.9 KiB
Python
#!/usr/bin/env python3
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"""
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LangGraph 图结构可视化脚本
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快速查看节点和边的连接关系
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运行方式:python tools/visualize_graph.py
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"""
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import sys
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from pathlib import Path
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# 路径设置
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PROJECT_ROOT = Path(__file__).parent.parent
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BACKEND_DIR = PROJECT_ROOT / "backend"
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sys.path.insert(0, str(BACKEND_DIR))
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import warnings
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# 抑制 WebSocket 弃用警告
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warnings.filterwarnings("ignore", category=DeprecationWarning, module="websockets")
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warnings.filterwarnings("ignore", category=DeprecationWarning, module="uvicorn.protocols.websockets")
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from dotenv import load_dotenv
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load_dotenv(PROJECT_ROOT / ".env")
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import asyncio
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from backend.app.agent.agent_service import AIAgentService, create_serde
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from backend.app.config import DB_URI
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from langgraph.checkpoint.postgres.aio import AsyncPostgresSaver
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async def visualize_graph():
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"""可视化 LangGraph 结构"""
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print("=" * 80)
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print(" LangGraph 图结构可视化")
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print("=" * 80)
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print(f"项目根目录: {PROJECT_ROOT}")
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print(f"Backend 目录: {BACKEND_DIR}")
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async with AsyncPostgresSaver.from_conn_string(DB_URI, serde=create_serde()) as checkpointer:
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await checkpointer.setup()
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# 创建服务实例
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print("\n正在初始化 Agent 服务...")
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agent_service = AIAgentService(checkpointer)
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await agent_service.initialize()
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# 获取图(单图方案)
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graph = agent_service.graph
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print("\n✅ Agent 服务初始化完成")
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# 获取图结构
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graph_structure = graph.get_graph()
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# 1. 直接打印节点和边
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print("\n" + "=" * 80)
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print("[1] 节点列表")
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print("=" * 80)
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for node_id, node in graph_structure.nodes.items():
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print(f" 📦 {node_id}: {node.name}")
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print("\n" + "=" * 80)
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print("[2] 边列表")
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print("=" * 80)
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for edge in graph_structure.edges:
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print(f" {edge.source} --> {edge.target}")
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# 2. ASCII 字符画
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print("\n" + "=" * 80)
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print("[3] ASCII 字符画")
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print("=" * 80)
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try:
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ascii_graph = graph_structure.draw_ascii()
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print(ascii_graph)
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except Exception as e:
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print(f"⚠️ ASCII 绘制失败: {e}")
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# 3. Mermaid 源码
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print("\n" + "=" * 80)
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print("[4] Mermaid 源码 (复制到 https://mermaid.live/)")
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print("=" * 80)
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try:
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mermaid_code = graph_structure.draw_mermaid()
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print(mermaid_code)
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except Exception as e:
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print(f"⚠️ Mermaid 生成失败: {e}")
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# 4. 节点统计
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print("\n" + "=" * 80)
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print("[5] 图统计")
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print("=" * 80)
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print(f" 节点数量: {len(graph_structure.nodes)}")
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print(f" 边数量: {len(graph_structure.edges)}")
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if __name__ == "__main__":
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asyncio.run(visualize_graph())
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