83 lines
2.7 KiB
Python
83 lines
2.7 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 backend/app/graph/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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from dotenv import load_dotenv
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# 确定项目根目录（Agent1 目录）
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# 当前文件位置：backend/app/graph/visualize_graph.py
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# 向上 4 级到 Agent1
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PROJECT_ROOT = Path(__file__).parent.parent.parent.parent
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BACKEND_DIR = PROJECT_ROOT / "backend"
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# 关键：把 backend 目录加入 sys.path，这样才能找到 rag_core
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# 注意：这只对直接运行脚本有效，对 -m 方式无效（因为 -m 方式在脚本运行前就导入了）
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if str(BACKEND_DIR) not in sys.path:
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sys.path.insert(0, str(BACKEND_DIR))
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if str(PROJECT_ROOT) not in sys.path:
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sys.path.insert(0, str(PROJECT_ROOT))
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load_dotenv(PROJECT_ROOT / ".env")
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from app.agent.service import AIAgentService
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from app.config import DB_URI
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from langgraph.checkpoint.postgres.aio import AsyncPostgresSaver
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import asyncio
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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) 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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for model_name, graph in agent_service.graphs.items():
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print(f"\n{'=' * 80}")
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print(f" 模型: {model_name}")
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print(f"{'=' * 80}")
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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[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[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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# 3. ASCII 字符画（需要 grandalf）
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print("\n[3] ASCII 字符画:")
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print("-" * 80)
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try:
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print(graph_structure.draw_ascii())
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except Exception as e:
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print(f"⚠️ ASCII 绘制失败: {e}")
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# 4. Mermaid 源码
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print("\n[4] Mermaid 源码 (可复制到 https://mermaid.live/):")
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print("-" * 80)
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print(graph_structure.draw_mermaid())
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if __name__ == "__main__":
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asyncio.run(visualize_graph())
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