218 lines
6.8 KiB
Python
218 lines
6.8 KiB
Python
"""
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联网搜索公共工具 - 无需 API Key，免费使用 DuckDuckGo
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Web Search Public Utility - Free, no API Key, using DuckDuckGo
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"""
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from typing import List, Optional
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from dataclasses import dataclass
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from datetime import datetime
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from backend.app.logger import info
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@dataclass
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class SearchResult:
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"""搜索结果数据类"""
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title: str
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url: str
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snippet: str
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source: str = "DuckDuckGo"
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timestamp: datetime = None
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def __post_init__(self):
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if self.timestamp is None:
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self.timestamp = datetime.now()
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class WebSearchTool:
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"""联网搜索公共工具类"""
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def __init__(self, max_results: int = 5):
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self.max_results = max_results
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def search(self, query: str, max_results: Optional[int] = None) -> List[SearchResult]:
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"""
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使用多种方式搜索，按优先级尝试
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Args:
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query: 搜索关键词
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max_results: 返回结果数量，默认使用初始化时的设置
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Returns:
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搜索结果列表
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"""
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num_results = max_results or self.max_results
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# 尝试搜索方式，按优先级
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result = self._try_tavily(query, num_results)
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if result is not None:
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return result
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result = self._try_ddgs(query, num_results)
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if result is not None:
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return result
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# 兜底方案
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return self._get_mock_results(query, num_results)
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def _try_tavily(self, query: str, max_results: int) -> Optional[List[SearchResult]]:
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"""尝试 Tavily API 搜索"""
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try:
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return self._search_tavily(query, max_results)
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except ImportError:
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info("[WebSearch] tavily 未安装")
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except Exception as e:
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error_msg = str(e)
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if "API_KEY" in error_msg or "未配置" in error_msg:
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info(f"[WebSearch] Tavily API Key 未配置")
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else:
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info(f"[WebSearch] Tavily 搜索失败: {e}")
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return None
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def _search_tavily(self, query: str, max_results: int) -> List[SearchResult]:
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"""使用 Tavily API 搜索"""
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from tavily import TavilyClient
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from backend.app.config import TAVILY_API_KEY, TAVILY_MAX_RESULTS
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if not TAVILY_API_KEY:
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raise ValueError("TAVILY_API_KEY 未配置")
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client = TavilyClient(api_key=TAVILY_API_KEY)
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response = client.search(
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query=query,
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max_results=min(max_results, TAVILY_MAX_RESULTS or 5),
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include_answer=True,
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include_raw_content=False
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)
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results = []
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for item in response.get("results", []):
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results.append(SearchResult(
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title=item.get("title", ""),
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url=item.get("url", ""),
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snippet=item.get("content", ""),
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source="Tavily"
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))
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info(f"[WebSearch] Tavily 返回 {len(results)} 条结果")
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return results
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def _try_ddgs(self, query: str, max_results: int) -> Optional[List[SearchResult]]:
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"""尝试 DuckDuckGo 搜索"""
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try:
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from ddgs import DDGS
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results = []
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with DDGS() as ddgs:
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for r in ddgs.text(query, max_results=max_results):
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results.append(SearchResult(
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title=r.get("title", ""),
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url=r.get("href", ""),
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snippet=r.get("body", ""),
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source="DuckDuckGo"
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))
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if results:
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info(f"[WebSearch] ddgs 返回 {len(results)} 条结果")
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return results
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except ImportError:
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info("[WebSearch] ddgs 未安装")
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except Exception as e:
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info(f"[WebSearch] ddgs 搜索失败: {e}")
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return None
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def _get_mock_results(self, query: str, max_results: Optional[int] = None) -> List[SearchResult]:
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"""获取模拟搜索结果（兜底方案）"""
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info(f"[WebSearch] 使用模拟搜索结果")
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templates = [
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{
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"title": f"关于「{query}」的相关介绍",
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"snippet": "这是模拟结果。如需真实搜索，请检查容器网络连接或配置代理。",
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"url": "https://example.com/about"
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},
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{
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"title": f"「{query}」 - 最新动态",
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"snippet": "提示：在容器内运行时，需要确保能访问外网。",
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"url": "https://example.com/latest"
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},
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{
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"title": f"了解更多关于「{query}」的内容",
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"snippet": "建议：检查 Docker 网络配置，或使用代理。",
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"url": "https://example.com/more"
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}
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]
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num = max_results or self.max_results
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results = []
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for template in templates[:num]:
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results.append(SearchResult(
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title=template["title"],
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url=template["url"],
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snippet=template["snippet"],
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source="模拟数据"
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))
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return results
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def format_search_results(self, results: List[SearchResult]) -> str:
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"""
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格式化搜索结果（带引用溯源）
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Args:
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results: 搜索结果列表
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Returns:
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格式化后的 Markdown 文本
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"""
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if not results:
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return "未找到相关搜索结果"
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lines = ["## 🔍 联网搜索结果\n"]
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for idx, result in enumerate(results, 1):
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lines.append(f"### [{idx}] {result.title}")
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lines.append(f"- 🔗 来源：[{result.url}]({result.url})")
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lines.append(f"- 📝 摘要：{result.snippet}")
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lines.append(f"- 📅 时间：{result.timestamp.strftime('%Y-%m-%d %H:%M:%S')}")
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lines.append("")
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lines.append("---")
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lines.append("💡 **引用溯源说明**：")
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lines.append("- 以上搜索结果均标注了来源链接")
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lines.append("- 使用方括号数字标识引用（如 [1]、[2]）")
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lines.append("- 可通过链接追溯原始信息")
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return "\n".join(lines)
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# 单例实例
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_web_search_tool = None
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def get_web_search_tool() -> WebSearchTool:
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"""获取联网搜索工具单例"""
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global _web_search_tool
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if _web_search_tool is None:
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_web_search_tool = WebSearchTool()
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return _web_search_tool
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def web_search(query: str, max_results: int = 5) -> str:
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"""
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便捷函数：联网搜索并返回格式化结果
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Args:
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query: 搜索关键词
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max_results: 返回结果数量
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Returns:
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格式化后的搜索结果文本
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"""
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tool = get_web_search_tool()
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results = tool.search(query, max_results)
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return tool.format_search_results(results)
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