feat(search): add bing search engine support
Integrates Bing as a new search engine option alongside existing engines like DDG, Exa, and Tavily. This provides users with more choice and improves the robustness of the web search tool. - Adds `BingSearch` class and its integration into the `WebSurfingTool`. - Implements the `_search_bing` async method to handle search queries via the Bing scraper. - Updates the search strategy logic to include "bing" as an option. - Modifies the tool cache key generation to use the file path for better uniqueness. - Updates the configuration template to list "bing" as an available search engine.
This commit is contained in:
minecraft1024a
@@ -231,9 +231,6 @@ class BingSearch:
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sample_links.append({"text": link.text.strip(), "href": link.get("href", "")})
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logger.debug(f"链接示例: {sample_links}")
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# 尝试多种选择器查找搜索结果
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search_results = []
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# 方法0：查找动态提取的结果
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# 尝试查找包含完整结果项的父容器
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result_containers = []
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@@ -6,6 +6,7 @@ from datetime import datetime, timedelta
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from exa_py import Exa
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from asyncddgs import aDDGS
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from tavily import TavilyClient
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from .bing_search import BingSearch
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from src.common.logger import get_logger
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from typing import Tuple,Type
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@@ -39,6 +40,7 @@ class WebSurfingTool(BaseTool):
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def __init__(self, plugin_config=None):
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super().__init__(plugin_config)
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self.bing_search = BingSearch()
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# 初始化EXA API密钥轮询器
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self.exa_clients = []
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@@ -124,19 +126,17 @@ class WebSurfingTool(BaseTool):
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search_tasks = []
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for engine in enabled_engines:
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custom_args = function_args.copy()
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custom_args["num_results"] = custom_args.get("num_results", 5)
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if engine == "exa" and self.exa_clients:
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# 使用参数中的数量，如果没有则默认5个
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custom_args = function_args.copy()
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custom_args["num_results"] = custom_args.get("num_results", 5)
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search_tasks.append(self._search_exa(custom_args))
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elif engine == "tavily" and self.tavily_clients:
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custom_args = function_args.copy()
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custom_args["num_results"] = custom_args.get("num_results", 5)
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search_tasks.append(self._search_tavily(custom_args))
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elif engine == "ddg":
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custom_args = function_args.copy()
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custom_args["num_results"] = custom_args.get("num_results", 5)
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search_tasks.append(self._search_ddg(custom_args))
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elif engine == "bing":
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search_tasks.append(self._search_bing(custom_args))
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if not search_tasks:
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return {"error": "没有可用的搜索引擎。"}
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@@ -177,6 +177,8 @@ class WebSurfingTool(BaseTool):
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results = await self._search_tavily(custom_args)
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elif engine == "ddg":
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results = await self._search_ddg(custom_args)
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elif engine == "bing":
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results = await self._search_bing(custom_args)
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else:
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continue
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@@ -206,6 +208,8 @@ class WebSurfingTool(BaseTool):
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results = await self._search_tavily(custom_args)
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elif engine == "ddg":
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results = await self._search_ddg(custom_args)
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elif engine == "bing":
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results = await self._search_bing(custom_args)
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else:
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continue
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@@ -332,6 +336,28 @@ class WebSurfingTool(BaseTool):
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logger.error(f"DuckDuckGo 搜索失败: {e}")
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return []
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async def _search_bing(self, args: Dict[str, Any]) -> List[Dict[str, Any]]:
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query = args["query"]
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num_results = args.get("num_results", 3)
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try:
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loop = asyncio.get_running_loop()
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func = functools.partial(self.bing_search.search, query, num_results=num_results)
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search_response = await loop.run_in_executor(None, func)
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if search_response:
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return [
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{
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"title": r.get("title"),
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"url": r.get("url"),
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"snippet": r.get("abstract"),
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"provider": "Bing"
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}
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for r in search_response
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]
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except Exception as e:
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logger.error(f"Bing 搜索失败: {e}")
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return []
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def _format_results(self, results: List[Dict[str, Any]]) -> str:
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if not results:
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return "没有找到相关的网络信息。"
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@@ -586,8 +612,10 @@ class URLParserTool(BaseTool):
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}
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# 保存到缓存
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import os
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current_file_path = os.path.abspath(__file__)
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if "error" not in result:
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await tool_cache.set(self.name, function_args, self.__class__, result)
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await tool_cache.set(self.name, function_args, current_file_path, result)
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return result
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@@ -1,676 +0,0 @@
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import asyncio
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import functools
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import itertools
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from typing import Any, Dict, List
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from datetime import datetime, timedelta
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from exa_py import Exa
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from asyncddgs import aDDGS
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from tavily import TavilyClient
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from src.common.logger import get_logger
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from typing import Tuple,Type
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from src.plugin_system import (
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BasePlugin,
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register_plugin,
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BaseTool,
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ComponentInfo,
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ConfigField,
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llm_api,
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ToolParamType,
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PythonDependency
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)
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from src.plugin_system.apis import config_api # 添加config_api导入
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from src.common.cache_manager import tool_cache
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import httpx
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from bs4 import BeautifulSoup
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logger = get_logger("web_surfing_tool")
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class WebSurfingTool(BaseTool):
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name: str = "web_search"
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description: str = "用于执行网络搜索。当用户明确要求搜索，或者需要获取关于公司、产品、事件的最新信息、新闻或动态时，必须使用此工具"
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available_for_llm: bool = True
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parameters = [
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("query", ToolParamType.STRING, "要搜索的关键词或问题。", True, None),
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("num_results", ToolParamType.INTEGER, "期望每个搜索引擎返回的搜索结果数量，默认为5。", False, None),
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("time_range", ToolParamType.STRING, "指定搜索的时间范围，可以是 'any', 'week', 'month'。默认为 'any'。", False, ["any", "week", "month"])
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] # type: ignore
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def __init__(self, plugin_config=None):
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super().__init__(plugin_config)
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# 初始化EXA API密钥轮询器
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self.exa_clients = []
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self.exa_key_cycle = None
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# 优先从主配置文件读取，如果没有则从插件配置文件读取
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EXA_API_KEYS = config_api.get_global_config("exa.api_keys", None)
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if EXA_API_KEYS is None:
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# 从插件配置文件读取
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EXA_API_KEYS = self.get_config("exa.api_keys", [])
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if isinstance(EXA_API_KEYS, list) and EXA_API_KEYS:
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valid_keys = [key.strip() for key in EXA_API_KEYS if isinstance(key, str) and key.strip() not in ("None", "")]
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if valid_keys:
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self.exa_clients = [Exa(api_key=key) for key in valid_keys]
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self.exa_key_cycle = itertools.cycle(self.exa_clients)
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logger.info(f"已配置 {len(valid_keys)} 个 Exa API 密钥")
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else:
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logger.warning("Exa API Keys 配置无效，Exa 搜索功能将不可用。")
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else:
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logger.warning("Exa API Keys 未配置，Exa 搜索功能将不可用。")
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# 初始化Tavily API密钥轮询器
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self.tavily_clients = []
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self.tavily_key_cycle = None
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# 优先从主配置文件读取，如果没有则从插件配置文件读取
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TAVILY_API_KEYS = config_api.get_global_config("tavily.api_keys", None)
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if TAVILY_API_KEYS is None:
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# 从插件配置文件读取
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TAVILY_API_KEYS = self.get_config("tavily.api_keys", [])
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if isinstance(TAVILY_API_KEYS, list) and TAVILY_API_KEYS:
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valid_keys = [key.strip() for key in TAVILY_API_KEYS if isinstance(key, str) and key.strip() not in ("None", "")]
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if valid_keys:
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self.tavily_clients = [TavilyClient(api_key=key) for key in valid_keys]
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self.tavily_key_cycle = itertools.cycle(self.tavily_clients)
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logger.info(f"已配置 {len(valid_keys)} 个 Tavily API 密钥")
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else:
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logger.warning("Tavily API Keys 配置无效，Tavily 搜索功能将不可用。")
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else:
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logger.warning("Tavily API Keys 未配置，Tavily 搜索功能将不可用。")
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async def execute(self, function_args: Dict[str, Any]) -> Dict[str, Any]:
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query = function_args.get("query")
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if not query:
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return {"error": "搜索查询不能为空。"}
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# 获取当前文件路径用于缓存键
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import os
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current_file_path = os.path.abspath(__file__)
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# 检查缓存
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query = function_args.get("query")
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cached_result = await tool_cache.get(self.name, function_args, current_file_path, semantic_query=query)
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if cached_result:
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logger.info(f"缓存命中: {self.name} -> {function_args}")
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return cached_result
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# 读取搜索配置
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enabled_engines = config_api.get_global_config("web_search.enabled_engines", ["ddg"])
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search_strategy = config_api.get_global_config("web_search.search_strategy", "single")
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logger.info(f"开始搜索，策略: {search_strategy}, 启用引擎: {enabled_engines}, 参数: '{function_args}'")
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# 根据策略执行搜索
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if search_strategy == "parallel":
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result = await self._execute_parallel_search(function_args, enabled_engines)
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elif search_strategy == "fallback":
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result = await self._execute_fallback_search(function_args, enabled_engines)
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else: # single
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result = await self._execute_single_search(function_args, enabled_engines)
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# 保存到缓存
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if "error" not in result:
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query = function_args.get("query")
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await tool_cache.set(self.name, function_args, current_file_path, result, semantic_query=query)
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return result
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async def _execute_parallel_search(self, function_args: Dict[str, Any], enabled_engines: List[str]) -> Dict[str, Any]:
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"""并行搜索策略：同时使用所有启用的搜索引擎"""
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search_tasks = []
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for engine in enabled_engines:
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if engine == "exa" and self.exa_clients:
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# 使用参数中的数量，如果没有则默认5个
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custom_args = function_args.copy()
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custom_args["num_results"] = custom_args.get("num_results", 5)
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search_tasks.append(self._search_exa(custom_args))
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elif engine == "tavily" and self.tavily_clients:
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custom_args = function_args.copy()
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custom_args["num_results"] = custom_args.get("num_results", 5)
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search_tasks.append(self._search_tavily(custom_args))
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elif engine == "ddg":
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custom_args = function_args.copy()
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custom_args["num_results"] = custom_args.get("num_results", 5)
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search_tasks.append(self._search_ddg(custom_args))
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if not search_tasks:
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return {"error": "没有可用的搜索引擎。"}
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try:
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search_results_lists = await asyncio.gather(*search_tasks, return_exceptions=True)
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all_results = []
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for result in search_results_lists:
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if isinstance(result, list):
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all_results.extend(result)
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elif isinstance(result, Exception):
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logger.error(f"搜索时发生错误: {result}")
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# 去重并格式化
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unique_results = self._deduplicate_results(all_results)
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formatted_content = self._format_results(unique_results)
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return {
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"type": "web_search_result",
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"content": formatted_content,
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}
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except Exception as e:
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logger.error(f"执行并行网络搜索时发生异常: {e}", exc_info=True)
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return {"error": f"执行网络搜索时发生严重错误: {str(e)}"}
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async def _execute_fallback_search(self, function_args: Dict[str, Any], enabled_engines: List[str]) -> Dict[str, Any]:
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"""回退搜索策略：按顺序尝试搜索引擎，失败则尝试下一个"""
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for engine in enabled_engines:
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try:
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custom_args = function_args.copy()
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custom_args["num_results"] = custom_args.get("num_results", 5)
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if engine == "exa" and self.exa_clients:
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results = await self._search_exa(custom_args)
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elif engine == "tavily" and self.tavily_clients:
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results = await self._search_tavily(custom_args)
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elif engine == "ddg":
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results = await self._search_ddg(custom_args)
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else:
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continue
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if results: # 如果有结果，直接返回
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formatted_content = self._format_results(results)
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return {
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"type": "web_search_result",
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"content": formatted_content,
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}
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except Exception as e:
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logger.warning(f"{engine} 搜索失败，尝试下一个引擎: {e}")
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continue
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return {"error": "所有搜索引擎都失败了。"}
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async def _execute_single_search(self, function_args: Dict[str, Any], enabled_engines: List[str]) -> Dict[str, Any]:
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"""单一搜索策略：只使用第一个可用的搜索引擎"""
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for engine in enabled_engines:
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custom_args = function_args.copy()
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custom_args["num_results"] = custom_args.get("num_results", 5)
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try:
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if engine == "exa" and self.exa_clients:
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results = await self._search_exa(custom_args)
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elif engine == "tavily" and self.tavily_clients:
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results = await self._search_tavily(custom_args)
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elif engine == "ddg":
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results = await self._search_ddg(custom_args)
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else:
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continue
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formatted_content = self._format_results(results)
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return {
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"type": "web_search_result",
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"content": formatted_content,
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}
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except Exception as e:
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logger.error(f"{engine} 搜索失败: {e}")
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return {"error": f"{engine} 搜索失败: {str(e)}"}
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return {"error": "没有可用的搜索引擎。"}
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def _deduplicate_results(self, results: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
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unique_urls = set()
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unique_results = []
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for res in results:
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if isinstance(res, dict) and res.get("url") and res["url"] not in unique_urls:
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unique_urls.add(res["url"])
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unique_results.append(res)
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return unique_results
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async def _search_exa(self, args: Dict[str, Any]) -> List[Dict[str, Any]]:
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query = args["query"]
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num_results = args.get("num_results", 3)
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time_range = args.get("time_range", "any")
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exa_args = {"num_results": num_results, "text": True, "highlights": True}
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if time_range != "any":
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today = datetime.now()
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start_date = today - timedelta(days=7 if time_range == "week" else 30)
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exa_args["start_published_date"] = start_date.strftime('%Y-%m-%d')
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try:
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if not self.exa_key_cycle:
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return []
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# 使用轮询机制获取下一个客户端
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exa_client = next(self.exa_key_cycle)
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loop = asyncio.get_running_loop()
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func = functools.partial(exa_client.search_and_contents, query, **exa_args)
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search_response = await loop.run_in_executor(None, func)
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return [
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{
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"title": res.title,
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"url": res.url,
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"snippet": " ".join(getattr(res, 'highlights', [])) or (getattr(res, 'text', '')[:250] + '...'),
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"provider": "Exa"
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}
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for res in search_response.results
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]
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except Exception as e:
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logger.error(f"Exa 搜索失败: {e}")
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return []
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async def _search_tavily(self, args: Dict[str, Any]) -> List[Dict[str, Any]]:
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query = args["query"]
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num_results = args.get("num_results", 3)
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time_range = args.get("time_range", "any")
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try:
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if not self.tavily_key_cycle:
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return []
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# 使用轮询机制获取下一个客户端
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tavily_client = next(self.tavily_key_cycle)
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# 构建Tavily搜索参数
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search_params = {
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"query": query,
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"max_results": num_results,
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"search_depth": "basic",
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"include_answer": False,
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"include_raw_content": False
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}
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# 根据时间范围调整搜索参数
|
||||
if time_range == "week":
|
||||
search_params["days"] = 7
|
||||
elif time_range == "month":
|
||||
search_params["days"] = 30
|
||||
|
||||
loop = asyncio.get_running_loop()
|
||||
func = functools.partial(tavily_client.search, **search_params)
|
||||
search_response = await loop.run_in_executor(None, func)
|
||||
|
||||
results = []
|
||||
if search_response and "results" in search_response:
|
||||
for res in search_response["results"]:
|
||||
results.append({
|
||||
"title": res.get("title", "无标题"),
|
||||
"url": res.get("url", ""),
|
||||
"snippet": res.get("content", "")[:300] + "..." if res.get("content") else "无摘要",
|
||||
"provider": "Tavily"
|
||||
})
|
||||
|
||||
return results
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Tavily 搜索失败: {e}")
|
||||
return []
|
||||
|
||||
async def _search_ddg(self, args: Dict[str, Any]) -> List[Dict[str, Any]]:
|
||||
query = args["query"]
|
||||
num_results = args.get("num_results", 3)
|
||||
|
||||
try:
|
||||
async with aDDGS() as ddgs:
|
||||
search_response = await ddgs.text(query, max_results=num_results)
|
||||
|
||||
return [
|
||||
{
|
||||
"title": r.get("title"),
|
||||
"url": r.get("href"),
|
||||
"snippet": r.get("body"),
|
||||
"provider": "DuckDuckGo"
|
||||
}
|
||||
for r in search_response
|
||||
]
|
||||
except Exception as e:
|
||||
logger.error(f"DuckDuckGo 搜索失败: {e}")
|
||||
return []
|
||||
|
||||
def _format_results(self, results: List[Dict[str, Any]]) -> str:
|
||||
if not results:
|
||||
return "没有找到相关的网络信息。"
|
||||
|
||||
formatted_string = "根据网络搜索结果：\n\n"
|
||||
for i, res in enumerate(results, 1):
|
||||
title = res.get("title", '无标题')
|
||||
url = res.get("url", '#')
|
||||
snippet = res.get("snippet", '无摘要')
|
||||
provider = res.get("provider", "未知来源")
|
||||
|
||||
formatted_string += f"{i}. **{title}** (来自: {provider})\n"
|
||||
formatted_string += f" - 摘要: {snippet}\n"
|
||||
formatted_string += f" - 来源: {url}\n\n"
|
||||
|
||||
return formatted_string
|
||||
|
||||
class URLParserTool(BaseTool):
|
||||
"""
|
||||
一个用于解析和总结一个或多个网页URL内容的工具。
|
||||
"""
|
||||
name: str = "parse_url"
|
||||
description: str = "当需要理解一个或多个特定网页链接的内容时，使用此工具。例如：'这些网页讲了什么？[https://example.com, https://example2.com]' 或 '帮我总结一下这些文章'"
|
||||
available_for_llm: bool = True
|
||||
parameters = [
|
||||
("urls", ToolParamType.STRING, "要理解的网站", True, None),
|
||||
]
|
||||
def __init__(self, plugin_config=None):
|
||||
super().__init__(plugin_config)
|
||||
|
||||
# 初始化EXA API密钥轮询器
|
||||
self.exa_clients = []
|
||||
self.exa_key_cycle = None
|
||||
|
||||
# 优先从主配置文件读取，如果没有则从插件配置文件读取
|
||||
EXA_API_KEYS = config_api.get_global_config("exa.api_keys", None)
|
||||
if EXA_API_KEYS is None:
|
||||
# 从插件配置文件读取
|
||||
EXA_API_KEYS = self.get_config("exa.api_keys", [])
|
||||
|
||||
if isinstance(EXA_API_KEYS, list) and EXA_API_KEYS:
|
||||
valid_keys = [key.strip() for key in EXA_API_KEYS if isinstance(key, str) and key.strip() not in ("None", "")]
|
||||
if valid_keys:
|
||||
self.exa_clients = [Exa(api_key=key) for key in valid_keys]
|
||||
self.exa_key_cycle = itertools.cycle(self.exa_clients)
|
||||
logger.info(f"URL解析工具已配置 {len(valid_keys)} 个 Exa API 密钥")
|
||||
else:
|
||||
logger.warning("Exa API Keys 配置无效，URL解析功能将受限。")
|
||||
else:
|
||||
logger.warning("Exa API Keys 未配置，URL解析功能将受限。")
|
||||
async def _local_parse_and_summarize(self, url: str) -> Dict[str, Any]:
|
||||
"""
|
||||
使用本地库(httpx, BeautifulSoup)解析URL，并调用LLM进行总结。
|
||||
"""
|
||||
try:
|
||||
# 读取代理配置
|
||||
enable_proxy = self.get_config("proxy.enable_proxy", False)
|
||||
proxies = None
|
||||
|
||||
if enable_proxy:
|
||||
socks5_proxy = self.get_config("proxy.socks5_proxy", None)
|
||||
http_proxy = self.get_config("proxy.http_proxy", None)
|
||||
https_proxy = self.get_config("proxy.https_proxy", None)
|
||||
|
||||
# 优先使用SOCKS5代理（全协议代理）
|
||||
if socks5_proxy:
|
||||
proxies = socks5_proxy
|
||||
logger.info(f"使用SOCKS5代理: {socks5_proxy}")
|
||||
elif http_proxy or https_proxy:
|
||||
proxies = {}
|
||||
if http_proxy:
|
||||
proxies["http://"] = http_proxy
|
||||
if https_proxy:
|
||||
proxies["https://"] = https_proxy
|
||||
logger.info(f"使用HTTP/HTTPS代理配置: {proxies}")
|
||||
|
||||
client_kwargs = {"timeout": 15.0, "follow_redirects": True}
|
||||
if proxies:
|
||||
client_kwargs["proxies"] = proxies
|
||||
|
||||
async with httpx.AsyncClient(**client_kwargs) as client:
|
||||
response = await client.get(url)
|
||||
response.raise_for_status()
|
||||
|
||||
soup = BeautifulSoup(response.text, "html.parser")
|
||||
|
||||
title = soup.title.string if soup.title else "无标题"
|
||||
for script in soup(["script", "style"]):
|
||||
script.extract()
|
||||
text = soup.get_text(separator="\n", strip=True)
|
||||
|
||||
if not text:
|
||||
return {"error": "无法从页面提取有效文本内容。"}
|
||||
|
||||
summary_prompt = f"请根据以下网页内容，生成一段不超过300字的中文摘要，保留核心信息和关键点:\n\n---\n\n标题: {title}\n\n内容:\n{text[:4000]}\n\n---\n\n摘要:"
|
||||
|
||||
|
||||
text_model = str(self.get_config("models.text_model", "replyer_1"))
|
||||
models = llm_api.get_available_models()
|
||||
model_config = models.get(text_model)
|
||||
if not model_config:
|
||||
logger.error("未配置LLM模型")
|
||||
return {"error": "未配置LLM模型"}
|
||||
|
||||
success, summary, reasoning, model_name = await llm_api.generate_with_model(
|
||||
prompt=summary_prompt,
|
||||
model_config=model_config,
|
||||
request_type="story.generate",
|
||||
temperature=0.3,
|
||||
max_tokens=1000
|
||||
)
|
||||
|
||||
if not success:
|
||||
logger.info(f"生成摘要失败: {summary}")
|
||||
return {"error": "发生ai错误"}
|
||||
|
||||
logger.info(f"成功生成摘要内容：'{summary}'")
|
||||
|
||||
return {
|
||||
"title": title,
|
||||
"url": url,
|
||||
"snippet": summary,
|
||||
"source": "local"
|
||||
}
|
||||
|
||||
except httpx.HTTPStatusError as e:
|
||||
logger.warning(f"本地解析URL '{url}' 失败 (HTTP {e.response.status_code})")
|
||||
return {"error": f"请求失败，状态码: {e.response.status_code}"}
|
||||
except Exception as e:
|
||||
logger.error(f"本地解析或总结URL '{url}' 时发生未知异常: {e}", exc_info=True)
|
||||
return {"error": f"发生未知错误: {str(e)}"}
|
||||
|
||||
async def execute(self, function_args: Dict[str, Any]) -> Dict[str, Any]:
|
||||
"""
|
||||
执行URL内容提取和总结。优先使用Exa，失败后尝试本地解析。
|
||||
"""
|
||||
# 获取当前文件路径用于缓存键
|
||||
import os
|
||||
current_file_path = os.path.abspath(__file__)
|
||||
|
||||
# 检查缓存
|
||||
cached_result = await tool_cache.get(self.name, function_args, current_file_path)
|
||||
if cached_result:
|
||||
logger.info(f"缓存命中: {self.name} -> {function_args}")
|
||||
return cached_result
|
||||
|
||||
urls_input = function_args.get("urls")
|
||||
if not urls_input:
|
||||
return {"error": "URL列表不能为空。"}
|
||||
|
||||
# 处理URL输入，确保是列表格式
|
||||
if isinstance(urls_input, str):
|
||||
# 如果是字符串，尝试解析为URL列表
|
||||
import re
|
||||
# 提取所有HTTP/HTTPS URL
|
||||
url_pattern = r'https?://[^\s\],]+'
|
||||
urls = re.findall(url_pattern, urls_input)
|
||||
if not urls:
|
||||
# 如果没有找到标准URL，将整个字符串作为单个URL
|
||||
if urls_input.strip().startswith(('http://', 'https://')):
|
||||
urls = [urls_input.strip()]
|
||||
else:
|
||||
return {"error": "提供的字符串中未找到有效的URL。"}
|
||||
elif isinstance(urls_input, list):
|
||||
urls = [url.strip() for url in urls_input if isinstance(url, str) and url.strip()]
|
||||
else:
|
||||
return {"error": "URL格式不正确，应为字符串或列表。"}
|
||||
|
||||
# 验证URL格式
|
||||
valid_urls = []
|
||||
for url in urls:
|
||||
if url.startswith(('http://', 'https://')):
|
||||
valid_urls.append(url)
|
||||
else:
|
||||
logger.warning(f"跳过无效URL: {url}")
|
||||
|
||||
if not valid_urls:
|
||||
return {"error": "未找到有效的URL。"}
|
||||
|
||||
urls = valid_urls
|
||||
logger.info(f"准备解析 {len(urls)} 个URL: {urls}")
|
||||
|
||||
successful_results = []
|
||||
error_messages = []
|
||||
urls_to_retry_locally = []
|
||||
|
||||
# 步骤 1: 尝试使用 Exa API 进行解析
|
||||
contents_response = None
|
||||
if self.exa_key_cycle:
|
||||
logger.info(f"开始使用 Exa API 解析URL: {urls}")
|
||||
try:
|
||||
# 使用轮询机制获取下一个客户端
|
||||
exa_client = next(self.exa_key_cycle)
|
||||
loop = asyncio.get_running_loop()
|
||||
exa_params = {"text": True, "summary": True, "highlights": True}
|
||||
func = functools.partial(exa_client.get_contents, urls, **exa_params)
|
||||
contents_response = await loop.run_in_executor(None, func)
|
||||
except Exception as e:
|
||||
logger.error(f"执行 Exa URL解析时发生严重异常: {e}", exc_info=True)
|
||||
contents_response = None # 确保异常后为None
|
||||
|
||||
# 步骤 2: 处理Exa的响应
|
||||
if contents_response and hasattr(contents_response, 'statuses'):
|
||||
results_map = {res.url: res for res in contents_response.results} if hasattr(contents_response, 'results') else {}
|
||||
if contents_response.statuses:
|
||||
for status in contents_response.statuses:
|
||||
if status.status == 'success':
|
||||
res = results_map.get(status.id)
|
||||
if res:
|
||||
summary = getattr(res, 'summary', '')
|
||||
highlights = " ".join(getattr(res, 'highlights', []))
|
||||
text_snippet = (getattr(res, 'text', '')[:300] + '...') if getattr(res, 'text', '') else ''
|
||||
snippet = summary or highlights or text_snippet or '无摘要'
|
||||
|
||||
successful_results.append({
|
||||
"title": getattr(res, 'title', '无标题'),
|
||||
"url": getattr(res, 'url', status.id),
|
||||
"snippet": snippet,
|
||||
"source": "exa"
|
||||
})
|
||||
else:
|
||||
error_tag = getattr(status, 'error', '未知错误')
|
||||
logger.warning(f"Exa解析URL '{status.id}' 失败: {error_tag}。准备本地重试。")
|
||||
urls_to_retry_locally.append(status.id)
|
||||
else:
|
||||
# 如果Exa未配置、API调用失败或返回无效响应，则所有URL都进入本地重试
|
||||
urls_to_retry_locally.extend(url for url in urls if url not in [res['url'] for res in successful_results])
|
||||
|
||||
|
||||
# 步骤 3: 对失败的URL进行本地解析
|
||||
if urls_to_retry_locally:
|
||||
logger.info(f"开始本地解析以下URL: {urls_to_retry_locally}")
|
||||
local_tasks = [self._local_parse_and_summarize(url) for url in urls_to_retry_locally]
|
||||
local_results = await asyncio.gather(*local_tasks)
|
||||
|
||||
for i, res in enumerate(local_results):
|
||||
url = urls_to_retry_locally[i]
|
||||
if "error" in res:
|
||||
error_messages.append(f"URL: {url} - 解析失败: {res['error']}")
|
||||
else:
|
||||
successful_results.append(res)
|
||||
|
||||
if not successful_results:
|
||||
return {"error": "无法从所有给定的URL获取内容。", "details": error_messages}
|
||||
|
||||
formatted_content = self._format_results(successful_results)
|
||||
|
||||
result = {
|
||||
"type": "url_parse_result",
|
||||
"content": formatted_content,
|
||||
"errors": error_messages
|
||||
}
|
||||
|
||||
# 保存到缓存
|
||||
if "error" not in result:
|
||||
await tool_cache.set(self.name, function_args, self.__class__, result)
|
||||
|
||||
return result
|
||||
|
||||
def _format_results(self, results: List[Dict[str, Any]]) -> str:
|
||||
"""
|
||||
将成功解析的结果列表格式化为一段简洁的文本。
|
||||
"""
|
||||
formatted_parts = []
|
||||
for res in results:
|
||||
title = res.get('title', '无标题')
|
||||
url = res.get('url', '#')
|
||||
snippet = res.get('snippet', '无摘要')
|
||||
source = res.get('source', '未知')
|
||||
|
||||
formatted_string = f"**{title}**\n"
|
||||
formatted_string += f"**内容摘要**:\n{snippet}\n"
|
||||
formatted_string += f"**来源**: {url} (由 {source} 解析)\n"
|
||||
formatted_parts.append(formatted_string)
|
||||
|
||||
return "\n---\n".join(formatted_parts)
|
||||
|
||||
@register_plugin
|
||||
class WEBSEARCHPLUGIN(BasePlugin):
|
||||
|
||||
# 插件基本信息
|
||||
plugin_name: str = "web_search_tool" # 内部标识符
|
||||
enable_plugin: bool = True
|
||||
dependencies: List[str] = [] # 插件依赖列表
|
||||
# Python包依赖列表 - 支持两种格式：
|
||||
# 方式1: 简单字符串列表（向后兼容）
|
||||
# python_dependencies: List[str] = ["asyncddgs", "exa_py", "httpx[socks]"]
|
||||
|
||||
# 方式2: 详细的PythonDependency对象（推荐）
|
||||
python_dependencies: List[PythonDependency] = [
|
||||
PythonDependency(
|
||||
package_name="asyncddgs",
|
||||
description="异步DuckDuckGo搜索库",
|
||||
optional=False
|
||||
),
|
||||
PythonDependency(
|
||||
package_name="exa_py",
|
||||
description="Exa搜索API客户端库",
|
||||
optional=True # 如果没有API密钥，这个是可选的
|
||||
),
|
||||
PythonDependency(
|
||||
package_name="tavily",
|
||||
install_name="tavily-python", # 安装时使用这个名称
|
||||
description="Tavily搜索API客户端库",
|
||||
optional=True # 如果没有API密钥，这个是可选的
|
||||
),
|
||||
PythonDependency(
|
||||
package_name="httpx",
|
||||
version=">=0.20.0",
|
||||
install_name="httpx[socks]", # 安装时使用这个名称（包含可选依赖）
|
||||
description="支持SOCKS代理的HTTP客户端库",
|
||||
optional=False
|
||||
)
|
||||
]
|
||||
config_file_name: str = "config.toml" # 配置文件名
|
||||
|
||||
# 配置节描述
|
||||
config_section_descriptions = {"plugin": "插件基本信息", "proxy": "链接本地解析代理配置"}
|
||||
|
||||
# 配置Schema定义
|
||||
# 注意：EXA配置和组件设置已迁移到主配置文件(bot_config.toml)的[exa]和[web_search]部分
|
||||
config_schema: dict = {
|
||||
"plugin": {
|
||||
"name": ConfigField(type=str, default="WEB_SEARCH_PLUGIN", description="插件名称"),
|
||||
"version": ConfigField(type=str, default="1.0.0", description="插件版本"),
|
||||
"enabled": ConfigField(type=bool, default=False, description="是否启用插件"),
|
||||
},
|
||||
"proxy": {
|
||||
"http_proxy": ConfigField(type=str, default=None, description="HTTP代理地址，格式如: http://proxy.example.com:8080"),
|
||||
"https_proxy": ConfigField(type=str, default=None, description="HTTPS代理地址，格式如: http://proxy.example.com:8080"),
|
||||
"socks5_proxy": ConfigField(type=str, default=None, description="SOCKS5代理地址，格式如: socks5://proxy.example.com:1080"),
|
||||
"enable_proxy": ConfigField(type=bool, default=False, description="是否启用代理")
|
||||
},
|
||||
}
|
||||
def get_plugin_components(self) -> List[Tuple[ComponentInfo, Type]]:
|
||||
enable_tool =[]
|
||||
# 从主配置文件读取组件启用配置
|
||||
if config_api.get_global_config("web_search.enable_web_search_tool", True):
|
||||
enable_tool.append((WebSurfingTool.get_tool_info(), WebSurfingTool))
|
||||
if config_api.get_global_config("web_search.enable_url_tool", True):
|
||||
enable_tool.append((URLParserTool.get_tool_info(), URLParserTool))
|
||||
return enable_tool
|
||||
@@ -1,5 +1,5 @@
|
||||
[inner]
|
||||
version = "6.4.0"
|
||||
version = "6.4.1"
|
||||
|
||||
#----以下是给开发人员阅读的，如果你只是部署了麦麦，不需要阅读----
|
||||
#如果你想要修改配置文件，请递增version的值
|
||||
@@ -401,7 +401,7 @@ enable_web_search_tool = true # 是否启用联网搜索tool
|
||||
enable_url_tool = true # 是否启用URL解析tool
|
||||
|
||||
# 搜索引擎配置
|
||||
enabled_engines = ["ddg"] # 启用的搜索引擎列表，可选: "exa", "tavily", "ddg"
|
||||
enabled_engines = ["ddg"] # 启用的搜索引擎列表，可选: "exa", "tavily", "ddg","bing"
|
||||
search_strategy = "single" # 搜索策略: "single"(使用第一个可用引擎), "parallel"(并行使用所有启用的引擎), "fallback"(按顺序尝试，失败则尝试下一个)
|
||||
|
||||
[plugins] # 插件配置
|
||||
|
||||
Reference in New Issue
Block a user