143 lines
6.2 KiB
Python
143 lines
6.2 KiB
Python
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"""
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LangGraph 版工具集:闭包工厂注入 uuid,统一异常包装。
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为什么要重写:
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1. 旧版 tools 用 `query` 字符串里塞 JSON + uuid 的 hack 传 metadata
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2. 旧版 LLM 工具调度靠多次 LLM 路由,慢且容易循环
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3. 这里给每个工具暴露结构化 args_schema,交给 LangGraph ReAct 直接 function-calling
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"""
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import json
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import logging
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from typing import List, Optional
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from langchain_core.tools import tool
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# 旧版工具函数仍然复用——只改包装层
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from server.agent.tools.search_tool import search_tool as _legacy_kb_search
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from server.agent.tools.knowledgebase_kgo_search import knowledgebase_kgo_search as _legacy_kgo_search
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from server.agent.tools.draw_plot import create_and_save_plot as _legacy_draw_plot
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from server.agent.tools.math import math_count as _legacy_math, code_count as _legacy_code
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from server.agent.tools.weather_check import weathercheck as _legacy_weather
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from server.agent.tools.search_picture import search_pic as _legacy_search_pic
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from server.agent.tools.get_statistical_data import mysql_statistic as _legacy_mysql
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logger = logging.getLogger(__name__)
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def _safe_call(name: str, fn, *args, **kwargs) -> str:
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"""统一异常包装:把 raise 转成给模型的字符串提示,让 ReAct 可恢复。"""
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try:
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result = fn(*args, **kwargs)
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return result if isinstance(result, str) else json.dumps(result, ensure_ascii=False)
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except Exception as e:
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logger.exception(f"工具 {name} 调用异常")
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return f"[工具 {name} 调用异常] {type(e).__name__}: {str(e)[:200]}。请使用其他工具或基于已有信息回答。"
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def make_tools(uuid: str) -> list:
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"""根据本次请求的 uuid 生成一组闭包工具。
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每个工具内部用闭包捕获 uuid,调用旧版 func 时按旧 hack 拼装入参字符串。
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模型看到的工具入参是结构化的,看不到 uuid。
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"""
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@tool("知识库联想")
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def kb_search(
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query: str,
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knowledge_name: List[str],
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keywords: Optional[List[str]] = None,
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) -> str:
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"""从指定知识库检索资料。
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knowledge_name 必须从如下列表中选择(可多选):
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【中国钢铁行业动态库、政策库、期刊论文库、冶金新闻库、冶金中文期刊库、
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冶金外文期刊库、冶金OA期刊库、冶金行业新闻库、冶金专业知识库、
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冶金行业报告库、报告库、美术专业知识库】。
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涉及国家政策时优先选政策库;钢铁行业问题优先选中国钢铁行业动态库。
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keywords 是相关关键词,2-4 个为宜。
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"""
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payload = json.dumps({
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"query": query,
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"knowledge_name": knowledge_name,
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"keywords": keywords or [],
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}, ensure_ascii=False)
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legacy_input = payload + json.dumps({"uuid": uuid}, ensure_ascii=False)
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return _safe_call("知识库联想", _legacy_kb_search, legacy_input)
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@tool("联网思索")
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def web_search(query: str) -> str:
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"""联网搜索(智谱 search)。query 必须是用户原文,禁止改写。"""
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payload = json.dumps({"query": query}, ensure_ascii=False)
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legacy_input = payload + json.dumps({"uuid": uuid}, ensure_ascii=False)
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return _safe_call("联网思索", _legacy_kgo_search, legacy_input)
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@tool("图表绘制")
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def draw_plot(
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data: dict,
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title: str,
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xlabel: str,
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ylabel: str,
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plot_type: str,
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) -> str:
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"""绘制图表。
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data 形如 {"分类A": 23, "分类B": 17},xlabel/ylabel 描述坐标轴含义。
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plot_type 必须是 bar / pie / line 之一。
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本工具一次只能画一张图;输出图片链接后必须按工具说明输出 markdown 引用。
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"""
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payload = json.dumps({
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"data": data,
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"title": title,
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"xlabel": xlabel,
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"ylabel": ylabel,
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"plot_type": plot_type,
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}, ensure_ascii=False)
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# 旧版 draw_plot 接受 <param>...</param> 包裹的 JSON
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wrapped = f"<param>{payload}</param>{json.dumps({'uuid': uuid})}"
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return _safe_call("图表绘制", _legacy_draw_plot, wrapped)
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@tool("数学运算")
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def math_solve(query: str) -> str:
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"""数学问题求解。query 描述要求解的数学问题。"""
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payload = json.dumps({"query": query}, ensure_ascii=False)
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legacy_input = payload + json.dumps({"uuid": uuid}, ensure_ascii=False)
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return _safe_call("数学运算", _legacy_math, legacy_input)
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@tool("代码专家")
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def code_solve(query: str) -> str:
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"""代码相关问题,包括写代码、解释代码、调试。"""
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payload = json.dumps({"query": query}, ensure_ascii=False)
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legacy_input = payload + json.dumps({"uuid": uuid}, ensure_ascii=False)
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return _safe_call("代码专家", _legacy_code, legacy_input)
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@tool("天气工具")
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def weather(location: str) -> str:
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"""查询某城市三天内天气。location 是中文城市名,如"北京"。"""
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payload = json.dumps({"location": location}, ensure_ascii=False)
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legacy_input = payload + json.dumps({"uuid": uuid}, ensure_ascii=False)
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return _safe_call("天气工具", _legacy_weather, legacy_input)
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@tool("美术作品获取")
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def art_search(query: str) -> str:
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"""查询美术作品图片。query 是作品类型描述(如"山水画"、"草原"),不要传"美术作品"等通用词。"""
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payload = json.dumps({"query": query}, ensure_ascii=False)
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legacy_input = payload + json.dumps({"uuid": uuid}, ensure_ascii=False)
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return _safe_call("美术作品获取", _legacy_search_pic, legacy_input)
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@tool("统计数据查询")
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def stat_query(query: str) -> str:
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"""统计数据库查询。仅有 199x-2023 数据。query 是详细的查询问题描述。"""
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payload = json.dumps({"query": query}, ensure_ascii=False)
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wrapped = f"<param>{payload}</param>{json.dumps({'uuid': uuid})}"
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return _safe_call("统计数据查询", _legacy_mysql, wrapped)
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return [
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kb_search,
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web_search,
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draw_plot,
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math_solve,
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code_solve,
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weather,
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art_search,
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stat_query,
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]
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