Files
ailine/backend/app/graph/visualize_graph.py

83 lines
2.7 KiB
Python
Raw Normal View History

2026-04-21 21:55:31 +08:00
#!/usr/bin/env python3
"""
LangGraph 图结构可视化脚本
快速查看节点和边的连接关系
2026-04-21 22:07:20 +08:00
运行方式python backend/app/graph/visualize_graph.py
2026-04-21 21:55:31 +08:00
"""
import sys
from pathlib import Path
from dotenv import load_dotenv
# 确定项目根目录Agent1 目录)
# 当前文件位置backend/app/graph/visualize_graph.py
# 向上 4 级到 Agent1
PROJECT_ROOT = Path(__file__).parent.parent.parent.parent
BACKEND_DIR = PROJECT_ROOT / "backend"
# 关键:把 backend 目录加入 sys.path这样才能找到 rag_core
# 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)
if str(BACKEND_DIR) not in sys.path:
sys.path.insert(0, str(BACKEND_DIR))
if str(PROJECT_ROOT) not in sys.path:
sys.path.insert(0, str(PROJECT_ROOT))
load_dotenv(PROJECT_ROOT / ".env")
from app.agent.service import AIAgentService
from app.config import DB_URI
from langgraph.checkpoint.postgres.aio import AsyncPostgresSaver
import asyncio
async def visualize_graph():
"""可视化 LangGraph 结构"""
print("=" * 80)
print(" LangGraph 图结构可视化")
print("=" * 80)
print(f"项目根目录: {PROJECT_ROOT}")
print(f"Backend 目录: {BACKEND_DIR}")
async with AsyncPostgresSaver.from_conn_string(DB_URI) as checkpointer:
await checkpointer.setup()
# 创建服务实例
print("\n正在初始化 Agent 服务...")
agent_service = AIAgentService(checkpointer)
await agent_service.initialize()
for model_name, graph in agent_service.graphs.items():
print(f"\n{'=' * 80}")
print(f" 模型: {model_name}")
print(f"{'=' * 80}")
# 获取图结构
graph_structure = graph.get_graph()
# 1. 直接打印节点和边
print("\n[1] 节点列表:")
print("-" * 80)
for node_id, node in graph_structure.nodes.items():
print(f" - {node_id}: {node.name}")
print("\n[2] 边列表:")
print("-" * 80)
for edge in graph_structure.edges:
print(f" {edge.source} --> {edge.target}")
# 3. ASCII 字符画(需要 grandalf
print("\n[3] ASCII 字符画:")
print("-" * 80)
try:
print(graph_structure.draw_ascii())
except Exception as e:
print(f"⚠️ ASCII 绘制失败: {e}")
# 4. Mermaid 源码
print("\n[4] Mermaid 源码 (可复制到 https://mermaid.live/):")
print("-" * 80)
print(graph_structure.draw_mermaid())
if __name__ == "__main__":
asyncio.run(visualize_graph())