104 lines
3.3 KiB
Python
104 lines
3.3 KiB
Python
"""
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工具定义模块 - 纯函数工具，无依赖 AIAgent 类
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"""
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# 标准库
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import os
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from pathlib import Path
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# 第三方库
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import pandas as pd
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import pypdf
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import requests
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from bs4 import BeautifulSoup
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from langchain_core.tools import tool
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def _file_allow_check(filename: str) -> Path:
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"""检查用户文件名是否位于允许目录 './user_docs' 下，防止路径遍历攻击。"""
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allowed_dir = Path("./user_docs").resolve()
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allowed_dir.mkdir(exist_ok=True)
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file_path = (allowed_dir / filename).resolve()
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if not str(file_path).startswith(str(allowed_dir)):
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raise ValueError("错误：非法文件路径。")
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if not file_path.exists():
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raise FileNotFoundError(f"错误：文件 '{filename}' 不存在。")
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return file_path
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@tool
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def get_current_temperature(location: str) -> str:
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"""获取指定地点的当前温度。"""
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return f'当前{location}的温度为25℃'
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@tool
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def read_local_file(filename: str) -> str:
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"""读取用户指定名称的本地文本文件内容并返回摘要。"""
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try:
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file_path = _file_allow_check(filename)
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with open(file_path, 'r', encoding='utf-8') as f:
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content = f.read()
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return f"文件 '{filename}' 的内容开头：\n{content[:1000]}..."
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except Exception as e:
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return f"读取文件时出错：{str(e)}"
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@tool
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def read_pdf_summary(filename: str) -> str:
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"""读取PDF文件并返回内容文本摘要。"""
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try:
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file_path = _file_allow_check(filename)
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text = ""
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with open(file_path, 'rb') as f:
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reader = pypdf.PdfReader(f)
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for page in reader.pages[:3]:
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text += page.extract_text()
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return f"PDF文件 '{filename}' 的前几页内容：\n{text[:2000]}..."
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except Exception as e:
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return f"读取PDF出错：{e}"
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@tool
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def read_excel_as_markdown(filename: str) -> str:
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"""读取Excel文件，并将其主要数据转换为Markdown表格格式。"""
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try:
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file_path = _file_allow_check(filename)
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df = pd.read_excel(file_path)
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markdown_table = df.head(10).to_markdown(index=False)
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return f"Excel文件 '{filename}' 的数据预览（前10行）：\n{markdown_table}"
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except Exception as e:
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return f"读取Excel出错：{e}"
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@tool
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def fetch_webpage_content(url: str) -> str:
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"""抓取给定URL的网页正文内容，并返回清晰的纯文本。"""
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try:
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response = requests.get(url, timeout=10)
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response.raise_for_status()
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soup = BeautifulSoup(response.text, 'html.parser')
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for script in soup(["script", "style"]):
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script.decompose()
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text = soup.get_text()
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lines = (line.strip() for line in text.splitlines())
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chunks = (phrase.strip() for line in lines for phrase in line.split(" "))
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text = '\n'.join(chunk for chunk in chunks if chunk)
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return f"成功抓取网页 {url}，正文内容开头：\n{text[:1500]}..."
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except Exception as e:
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return f"抓取网页时出错：{str(e)}"
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# 工具列表和映射（全局常量）
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AVAILABLE_TOOLS = [
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get_current_temperature,
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read_local_file,
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fetch_webpage_content,
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read_pdf_summary,
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read_excel_as_markdown
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]
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TOOLS_BY_NAME = {tool.name: tool for tool in AVAILABLE_TOOLS}
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