xiaoli-cli bot
dfe21298b9
新增插件: - terminal: 持久交互式终端，纯标准库，全平台，13个测试 - operit_bridge: Operit AI工具格式桥接，47个脚本288个工具，12个测试 其他: - plugins/operit/: 47个Operit官方脚本 - 更新plugin_registry.json/plugins_config.py - 更新about.txt/CHANGELOG.md至v5.4.2
1003 lines
36 KiB
TypeScript
1003 lines
36 KiB
TypeScript
/* METADATA
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{
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name: various_search
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display_name: {
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zh: "多平台搜索"
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en: "Multi-Platform Search"
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}
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category: "Search"
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description: { zh: "提供多平台搜索功能（含图片搜索），支持从必应、百度、搜狗、夸克等平台获取搜索结果。", en: "Multi-platform search tools (including image search) that fetch results from Bing, Baidu, Sogou, Quark, and more." }
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enabledByDefault: true
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tools: [
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{
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name: search_bing
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description: { zh: "使用必应搜索引擎进行搜索", en: "Search using the Bing search engine." }
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parameters: [
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{
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name: query
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description: { zh: "搜索查询关键词", en: "Search query keywords." }
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type: string
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required: true
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},
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{
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name: includeLinks
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description: { zh: "是否在结果中包含可点击的链接列表，默认为false。如果为true，AI可以根据返回的链接序号进行深入访问。", en: "Whether to include a clickable link list in results (default: false). If true, the AI can follow links by index." }
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type: boolean
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required: false
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}
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]
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},
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{
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name: search_baidu
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description: { zh: "使用百度搜索引擎进行搜索", en: "Search using the Baidu search engine." }
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parameters: [
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{
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name: query
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description: { zh: "搜索查询关键词", en: "Search query keywords." }
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type: string
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required: true
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},
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{
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name: page
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description: { zh: "搜索结果页码，默认为1", en: "Result page number (default: 1)." }
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type: string
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required: false
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},
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{
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name: includeLinks
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description: { zh: "是否在结果中包含可点击的链接列表，默认为false。如果为true，AI可以根据返回的链接序号进行深入访问。", en: "Whether to include a clickable link list in results (default: false). If true, the AI can follow links by index." }
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type: boolean
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required: false
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}
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]
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},
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{
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name: search_sogou
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description: { zh: "使用搜狗搜索引擎进行搜索", en: "Search using the Sogou search engine." }
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parameters: [
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{
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name: query
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description: { zh: "搜索查询关键词", en: "Search query keywords." }
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type: string
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required: true
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},
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{
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name: page
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description: { zh: "搜索结果页码，默认为1", en: "Result page number (default: 1)." }
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type: string
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required: false
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},
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{
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name: includeLinks
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description: { zh: "是否在结果中包含可点击的链接列表，默认为false。如果为true，AI可以根据返回的链接序号进行深入访问。", en: "Whether to include a clickable link list in results (default: false). If true, the AI can follow links by index." }
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type: boolean
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required: false
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}
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]
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},
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{
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name: search_quark
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description: { zh: "使用夸克搜索引擎进行搜索", en: "Search using the Quark search engine." }
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parameters: [
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{
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name: query
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description: { zh: "搜索查询关键词", en: "Search query keywords." }
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type: string
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required: true
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},
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{
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name: page
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description: { zh: "搜索结果页码，默认为1", en: "Result page number (default: 1)." }
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type: string
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required: false
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},
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{
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name: includeLinks
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description: { zh: "是否在结果中包含可点击的链接列表，默认为false。如果为true，AI可以根据返回的链接序号进行深入访问。", en: "Whether to include a clickable link list in results (default: false). If true, the AI can follow links by index." }
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type: boolean
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required: false
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}
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]
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},
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{
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name: combined_search
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description: { zh: "在多个平台同时执行搜索。建议用户要求搜索的时候默认使用这个工具。", en: "Run searches across multiple platforms. Use this tool by default when the user asks to search." }
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parameters: [
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{
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name: query
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description: { zh: "搜索查询关键词", en: "Search query keywords." }
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type: string
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required: true
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},
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{
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name: platforms
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description: { zh: "搜索平台列表字符串，可选值包括\"bing\",\"baidu\",\"sogou\",\"quark\"，多个平台用逗号分隔，比如\"bing,baidu,sogou,quark\"", en: "Comma-separated platform list. Supported: \"bing\", \"baidu\", \"sogou\", \"quark\". Example: \"bing,baidu,sogou,quark\"." }
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type: string
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required: true
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},
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{
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name: includeLinks
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description: { zh: "是否在结果中包含可点击的链接列表，默认为false。聚合搜索时建议保持为false以节省输出，仅在需要深入访问时对单个搜索引擎使用。", en: "Whether to include a clickable link list in results (default: false). For combined search, keep it false to reduce output; enable it for a single engine when you need to open links." }
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type: boolean
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required: false
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}
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]
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},
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{
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name: search
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description: { zh: "兼容工具名：等同于 combined_search。用于处理模型误调用 search 的情况。", en: "Compatibility alias: equivalent to combined_search. Helps when models call search by mistake." }
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parameters: [
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{
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name: query
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description: { zh: "搜索查询关键词", en: "Search query keywords." }
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type: string
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required: true
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},
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{
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name: platforms
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description: { zh: "可选平台列表，默认 bing,baidu,sogou,quark", en: "Optional platform list, default bing,baidu,sogou,quark." }
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type: string
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required: false
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},
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{
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name: includeLinks
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description: { zh: "是否返回链接列表，默认 false", en: "Whether to include links in result, default false." }
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type: boolean
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required: false
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}
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]
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},
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{
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name: search_web
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description: { zh: "兼容工具名：网页搜索别名。默认复用 combined_search 的统一搜索逻辑。", en: "Compatibility alias for web search. Reuses the unified combined_search flow." }
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parameters: [
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{
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name: query
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description: { zh: "搜索查询关键词", en: "Search query keywords." }
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type: string
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required: true
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},
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{
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name: platforms
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description: { zh: "可选平台列表，默认 bing,baidu,sogou,quark", en: "Optional platform list, default bing,baidu,sogou,quark." }
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type: string
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required: false
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},
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{
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name: includeLinks
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description: { zh: "是否返回链接列表，默认 false", en: "Whether to include links in result, default false." }
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type: boolean
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required: false
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}
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]
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},
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{
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name: search_bing_images
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description: { zh: "使用必应图片搜索引擎进行图片搜索。返回内容会包含 visitKey 和 Images 编号；下载图片请用 download_file 的 visit_key + image_number（不要用 link_number 乱点页面链接）。", en: "Search images using Bing Images. The result includes visitKey and indexed Images; download images via download_file with visit_key + image_number (do not follow random page links via link_number)." }
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parameters: [
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{
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name: query
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description: { zh: "搜索关键词", en: "Search query keywords." }
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type: string
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required: true
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}
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]
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},
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{
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name: search_wikimedia_images
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description: { zh: "使用 Wikimedia Commons 进行图片搜索（公共资源）。返回 visitKey + Images 编号；下载图片用 download_file(visit_key + image_number)。", en: "Search images using Wikimedia Commons (public domain/commons). Use visitKey + image_number with download_file to download images." }
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parameters: [
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{
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name: query
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description: { zh: "搜索关键词", en: "Search query keywords." }
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type: string
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required: true
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}
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]
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},
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{
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name: search_duckduckgo_images
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description: { zh: "使用 DuckDuckGo Images 进行图片搜索。返回 visitKey + Images 编号；下载图片用 download_file(visit_key + image_number)。", en: "Search images using DuckDuckGo Images. Use visitKey + image_number with download_file to download images." }
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parameters: [
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{
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name: query
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description: { zh: "搜索关键词", en: "Search query keywords." }
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type: string
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required: true
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}
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]
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},
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{
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name: search_ecosia_images
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description: { zh: "使用 Ecosia Images 进行图片搜索。返回 visitKey + Images 编号；下载图片用 download_file(visit_key + image_number)。", en: "Search images using Ecosia Images. Use visitKey + image_number with download_file to download images." }
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parameters: [
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{
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name: query
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description: { zh: "搜索关键词", en: "Search query keywords." }
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type: string
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required: true
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}
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]
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},
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{
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name: search_pexels_images
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description: { zh: "使用 Pexels 进行图片搜索（高质量图库）。返回 visitKey + Images 编号；下载图片请用 download_file 的 visit_key + image_number。", en: "Search images using Pexels (high-quality stock). Use visitKey + image_number with download_file to download images." }
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parameters: [
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{
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name: query
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description: { zh: "搜索关键词", en: "Search query keywords." }
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type: string
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required: true
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}
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]
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},
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{
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name: search_pixabay_images
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description: { zh: "使用 Pixabay 进行图片搜索（图库）。返回 visitKey + Images 编号；下载图片请用 download_file 的 visit_key + image_number。", en: "Search images using Pixabay (stock). Use visitKey + image_number with download_file to download images." }
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parameters: [
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{
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name: query
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description: { zh: "搜索关键词", en: "Search query keywords." }
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type: string
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required: true
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}
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]
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}
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]
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}*/
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const various_search = (function () {
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function normalizeText(input: string | undefined | null): string {
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if (!input) return "";
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return String(input).toLowerCase().replace(/[\s\-_.,;:!?()[\]{}"'`~@#$%^&*+=|\\/<>]+/g, "");
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}
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const OUTBOUND_PATH_HINTS = [
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"/link",
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"/url",
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"/redirect",
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"/jump",
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"/out",
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"/outlink",
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"/ulink",
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"/aladdin.php"
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];
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const OUTBOUND_QUERY_KEYS = [
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"url",
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"u",
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"target",
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"targeturl",
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"target_url",
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"to",
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"dest",
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"destination",
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"redirect",
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"redirect_url"
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];
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const MULTI_PART_TLDS = [
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"ac.uk",
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"co.jp",
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"co.uk",
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"com.au",
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"com.cn",
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"com.hk",
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"gov.cn",
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"net.au",
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"net.cn",
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"org.au",
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"org.cn",
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"org.uk"
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];
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type LinkTargetType = "invalid" | "landing" | "internal" | "wrapper" | "external";
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function normalizePath(pathname: string | undefined | null): string {
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const normalized = String(pathname || "").replace(/\/+$/g, "");
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return normalized || "/";
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}
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function parseUrlParts(
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rawUrl: string | undefined | null,
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baseUrl: string
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): { href: string; protocol: string; host: string; hostname: string; pathname: string; search: string } | null {
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const rawText = String(rawUrl || "").trim();
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if (!rawText) {
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return null;
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}
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let absoluteText = rawText;
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if (absoluteText.startsWith("//")) {
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absoluteText = `https:${absoluteText}`;
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} else if (!/^[a-z]+:\/\//i.test(absoluteText)) {
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if (!absoluteText.startsWith("/")) {
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return null;
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}
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const base = baseUrl ? parseUrlParts(baseUrl, "") : null;
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if (!base) {
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return null;
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}
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absoluteText = `${base.protocol}//${base.host}${absoluteText}`;
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}
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const match = absoluteText.match(/^(https?):\/\/([^\/?#]+)([^?#]*)(\?[^#]*)?(?:#.*)?$/i);
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if (!match) {
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return null;
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}
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const protocol = `${match[1].toLowerCase()}:`;
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const host = match[2].toLowerCase();
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const hostname = host.replace(/:\d+$/, "");
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const pathname = normalizePath(match[3] || "/");
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const search = match[4] || "";
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return {
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href: `${protocol}//${host}${pathname}${search}`,
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protocol,
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host,
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hostname,
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pathname,
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search
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};
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}
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function normalizeUrl(rawUrl: string | undefined | null, baseUrl: string): string {
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const parsed = parseUrlParts(rawUrl, baseUrl);
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return parsed ? parsed.href : "";
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}
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function parseSearchEntries(searchText: string | undefined | null): Array<[string, string]> {
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const search = String(searchText || "").replace(/^\?/, "");
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if (!search) {
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return [];
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}
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return search
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.split("&")
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.map((item) => item.trim())
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.filter(Boolean)
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.map((item) => {
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const equalIndex = item.indexOf("=");
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if (equalIndex === -1) {
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return [item, ""];
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}
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return [item.slice(0, equalIndex), item.slice(equalIndex + 1)];
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});
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}
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function getSiteDomain(hostname: string | undefined | null): string {
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const parts = String(hostname || "").toLowerCase().split(".").filter(Boolean);
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if (parts.length <= 2) {
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return String(hostname || "").toLowerCase();
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}
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const lastTwo = parts.slice(-2).join(".");
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if (MULTI_PART_TLDS.includes(lastTwo) && parts.length >= 3) {
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return parts.slice(-3).join(".");
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}
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return lastTwo;
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}
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function countPathSegments(pathname: string | undefined | null): number {
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return normalizePath(pathname).split("/").filter(Boolean).length;
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}
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function getSortedSearch(searchText: string | undefined | null): string {
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return parseSearchEntries(searchText)
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.sort((left, right) => {
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if (left[0] === right[0]) {
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return left[1].localeCompare(right[1]);
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}
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return left[0].localeCompare(right[0]);
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})
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.map(([key, value]) => `${key}=${value}`)
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.join("&");
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}
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function toComparableUrl(rawUrl: string | undefined | null): string {
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if (!rawUrl) return "";
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const parsed = parseUrlParts(rawUrl, "");
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if (!parsed) {
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return String(rawUrl).trim();
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}
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const search = getSortedSearch(parsed.search);
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return `${parsed.protocol}//${parsed.host}${parsed.pathname}${search ? `?${search}` : ""}`;
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}
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function getLinkText(link: any): string {
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const text = link && (link.text || link.title || link.name);
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return text ? String(text).replace(/\s+/g, " ").trim() : "";
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}
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function looksLikeUiText(text: string): boolean {
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const raw = String(text || "").replace(/\s+/g, " ").trim();
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const normalized = normalizeText(text);
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if (!normalized) return true;
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if (/^\d+$/.test(normalized)) return true;
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if (!/[a-z0-9\u4e00-\u9fa5]/i.test(raw)) return true;
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if (normalized.length === 1) return true;
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if (normalized.length === 2 && /^[a-z0-9]+$/i.test(normalized)) return true;
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return false;
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}
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function looksLikeSearchLandingUrl(rawUrl: string | undefined | null, sourceUrl: string): boolean {
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if (!rawUrl || !sourceUrl) return false;
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const candidate = parseUrlParts(rawUrl, sourceUrl);
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const source = parseUrlParts(sourceUrl, "");
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if (!candidate || !source) return false;
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if (toComparableUrl(candidate.href) === toComparableUrl(source.href)) {
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return true;
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}
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if (candidate.host !== source.host) {
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return false;
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}
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const candidateSearch = getSortedSearch(candidate.search);
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const sourceSearch = getSortedSearch(source.search);
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if (candidate.pathname === "/" && !candidateSearch) {
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return true;
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}
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return candidate.pathname === source.pathname && (!candidateSearch || candidateSearch === sourceSearch);
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}
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|
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function looksLikeOutboundWrapper(rawUrl: string, sourceUrl: string): boolean {
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const candidate = parseUrlParts(rawUrl, sourceUrl);
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const source = parseUrlParts(sourceUrl, "");
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if (!candidate || !source || candidate.host !== source.host) {
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return false;
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}
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const path = candidate.pathname.toLowerCase();
|
|
if (OUTBOUND_PATH_HINTS.some((hint) => path === hint || path.endsWith(hint))) {
|
|
return true;
|
|
}
|
|
const search = candidate.search.replace(/^\?/, "");
|
|
return OUTBOUND_QUERY_KEYS.some((key) => new RegExp(`(?:^|&)${key}(?:=|&|$)`, "i").test(search));
|
|
}
|
|
|
|
function looksLikeSameSiteSectionUrl(rawUrl: string, sourceUrl: string): boolean {
|
|
const candidate = parseUrlParts(rawUrl, sourceUrl);
|
|
const source = parseUrlParts(sourceUrl, "");
|
|
if (!candidate || !source) {
|
|
return false;
|
|
}
|
|
if (candidate.host === source.host) {
|
|
return false;
|
|
}
|
|
if (getSiteDomain(candidate.hostname) !== getSiteDomain(source.hostname)) {
|
|
return false;
|
|
}
|
|
if (looksLikeOutboundWrapper(candidate.href, source.href)) {
|
|
return false;
|
|
}
|
|
return countPathSegments(candidate.pathname) <= 1;
|
|
}
|
|
|
|
function classifyLinkTarget(rawUrl: string | undefined | null, sourceUrl: string): LinkTargetType {
|
|
const text = String(rawUrl || "").trim();
|
|
if (!text) {
|
|
return "invalid";
|
|
}
|
|
const lowered = text.toLowerCase();
|
|
if (lowered.startsWith("javascript:") || lowered.startsWith("#")) {
|
|
return "invalid";
|
|
}
|
|
const candidate = parseUrlParts(rawUrl, sourceUrl);
|
|
const source = parseUrlParts(sourceUrl, "");
|
|
if (!candidate || !source) {
|
|
return "invalid";
|
|
}
|
|
if (looksLikeSearchLandingUrl(candidate.href, source.href)) {
|
|
return "landing";
|
|
}
|
|
if (looksLikeOutboundWrapper(candidate.href, source.href)) {
|
|
return "wrapper";
|
|
}
|
|
if (candidate.host === source.host) {
|
|
return "internal";
|
|
}
|
|
if (looksLikeSameSiteSectionUrl(candidate.href, source.href)) {
|
|
return "internal";
|
|
}
|
|
if (getSiteDomain(candidate.hostname) === getSiteDomain(source.hostname)) {
|
|
return "internal";
|
|
}
|
|
return "external";
|
|
}
|
|
|
|
function looksLikeInternalNavigationUrl(rawUrl: string | undefined | null, sourceUrl: string): boolean {
|
|
const type = classifyLinkTarget(rawUrl, sourceUrl);
|
|
return type === "invalid" || type === "landing" || type === "internal";
|
|
}
|
|
|
|
function extractUrlsFromText(rawText: string | undefined | null): string[] {
|
|
if (!rawText) return [];
|
|
const text = String(rawText);
|
|
const matches = text.match(/https?:\/\/[^\s)\]>"']+/g) || [];
|
|
const unique: string[] = [];
|
|
for (const url of matches) {
|
|
if (!unique.includes(url)) unique.push(url);
|
|
}
|
|
return unique;
|
|
}
|
|
|
|
function extractBestUrlFromText(rawText: string | undefined | null, sourceUrl: string): string {
|
|
const urls = extractUrlsFromText(rawText);
|
|
const meaningful = urls.find((item) => {
|
|
const type = classifyLinkTarget(item, sourceUrl);
|
|
return type === "external" || type === "wrapper";
|
|
});
|
|
return meaningful || urls[0] || "";
|
|
}
|
|
|
|
function stripLeadingLinkDump(rawContent: string | undefined | null): string {
|
|
const lines = String(rawContent || "").split(/\r?\n/);
|
|
let index = 0;
|
|
while (index < lines.length && !lines[index].trim()) {
|
|
index++;
|
|
}
|
|
let dumpedLinkCount = 0;
|
|
while (index < lines.length && /^\[\d+\]\s/.test(lines[index].trim())) {
|
|
dumpedLinkCount++;
|
|
index++;
|
|
}
|
|
if (dumpedLinkCount === 0) {
|
|
return String(rawContent || "");
|
|
}
|
|
while (index < lines.length && !lines[index].trim()) {
|
|
index++;
|
|
}
|
|
return lines.slice(index).join('\n');
|
|
}
|
|
|
|
function collectLinkCandidates(link: any, sourceUrl: string): string[] {
|
|
const values = [
|
|
link?.realUrl,
|
|
link?.real_url,
|
|
link?.targetUrl,
|
|
link?.target_url,
|
|
link?.originUrl,
|
|
link?.origin_url,
|
|
link?.href,
|
|
link?.url,
|
|
link?.target,
|
|
link?.rawUrl,
|
|
link?.link
|
|
];
|
|
const unique: string[] = [];
|
|
for (const value of values) {
|
|
const normalized = normalizeUrl(value ? String(value).trim() : "", sourceUrl);
|
|
if (normalized && !unique.includes(normalized)) {
|
|
unique.push(normalized);
|
|
}
|
|
}
|
|
return unique;
|
|
}
|
|
|
|
function pickBestLinkUrl(link: any, sourceUrl: string): string {
|
|
const candidates = collectLinkCandidates(link, sourceUrl);
|
|
const meaningful = candidates.find((item) => {
|
|
const type = classifyLinkTarget(item, sourceUrl);
|
|
return type === "external" || type === "wrapper";
|
|
});
|
|
if (meaningful) return meaningful;
|
|
|
|
const fromText = extractBestUrlFromText(getLinkText(link), sourceUrl);
|
|
if (fromText) return fromText;
|
|
|
|
return candidates[0] || "";
|
|
}
|
|
|
|
function scoreStructuralCandidate(text: string, url: string, sourceUrl: string, relativeIndex: number): number {
|
|
let score = 0;
|
|
if (!text || looksLikeUiText(text)) {
|
|
score -= 6;
|
|
} else {
|
|
score += 2;
|
|
}
|
|
const type = classifyLinkTarget(url, sourceUrl);
|
|
if (type === "external") {
|
|
score += 5;
|
|
} else if (type === "wrapper") {
|
|
score += 4;
|
|
} else if (type === "landing" || type === "internal") {
|
|
score -= 8;
|
|
} else {
|
|
score -= 4;
|
|
}
|
|
score -= relativeIndex * 0.15;
|
|
return score;
|
|
}
|
|
|
|
function findResultBlockStart(links: any[], sourceUrl: string, scanLimit: number = 48, windowSize: number = 6, minCandidates: number = 3): number {
|
|
const upperBound = Math.min(links.length, scanLimit);
|
|
for (let start = 0; start < upperBound; start++) {
|
|
let candidateCount = 0;
|
|
const hosts: string[] = [];
|
|
for (let offset = 0; offset < windowSize && start + offset < upperBound; offset++) {
|
|
const link = links[start + offset];
|
|
const text = getLinkText(link);
|
|
const url = pickBestLinkUrl(link, sourceUrl);
|
|
if (!text || looksLikeUiText(text)) {
|
|
continue;
|
|
}
|
|
const type = classifyLinkTarget(url, sourceUrl);
|
|
if (type !== "external" && type !== "wrapper") {
|
|
continue;
|
|
}
|
|
candidateCount++;
|
|
const parsed = parseUrlParts(url, sourceUrl);
|
|
const host = parsed ? parsed.hostname : "";
|
|
if (host && !hosts.includes(host)) {
|
|
hosts.push(host);
|
|
}
|
|
}
|
|
if (candidateCount >= minCandidates && hosts.length >= 2) {
|
|
return start;
|
|
}
|
|
}
|
|
return 0;
|
|
}
|
|
|
|
function isClusteredResultLink(links: any[], sourceUrl: string, targetIndex: number, radius: number = 3, minCandidates: number = 3): boolean {
|
|
let candidateCount = 0;
|
|
const hosts: string[] = [];
|
|
const start = Math.max(0, targetIndex - radius);
|
|
const end = Math.min(links.length - 1, targetIndex + radius);
|
|
for (let index = start; index <= end; index++) {
|
|
const link = links[index];
|
|
const text = getLinkText(link);
|
|
const url = pickBestLinkUrl(link, sourceUrl);
|
|
if (!text || looksLikeUiText(text)) {
|
|
continue;
|
|
}
|
|
const type = classifyLinkTarget(url, sourceUrl);
|
|
if (type !== "external" && type !== "wrapper") {
|
|
continue;
|
|
}
|
|
candidateCount++;
|
|
const parsed = parseUrlParts(url, sourceUrl);
|
|
const host = parsed ? parsed.hostname : "";
|
|
if (host && !hosts.includes(host)) {
|
|
hosts.push(host);
|
|
}
|
|
}
|
|
return candidateCount >= minCandidates && hosts.length >= 2;
|
|
}
|
|
|
|
function buildProbeIndexes(links: any[], sourceUrl: string, maxCount: number = 8, probeWindow: number = 24): number[] {
|
|
const resultStart = findResultBlockStart(links, sourceUrl);
|
|
return links
|
|
.slice(resultStart, resultStart + probeWindow)
|
|
.map((link, relativeIndex) => {
|
|
const index = resultStart + relativeIndex;
|
|
const text = getLinkText(link);
|
|
const url = pickBestLinkUrl(link, sourceUrl);
|
|
return {
|
|
index,
|
|
score: scoreStructuralCandidate(text, url, sourceUrl, relativeIndex)
|
|
};
|
|
})
|
|
.filter((item) => item.score > -4 && isClusteredResultLink(links, sourceUrl, item.index))
|
|
.slice(0, maxCount)
|
|
.map((item) => item.index);
|
|
}
|
|
|
|
async function resolveLinkUrlsByVisitKey(
|
|
response: any,
|
|
sourceUrl: string,
|
|
maxCount: number = 8
|
|
): Promise<Record<number, { url: string }>> {
|
|
if (!response || !response.visitKey || !response.links || !Array.isArray(response.links)) {
|
|
return {};
|
|
}
|
|
const resolved: Record<number, { url: string }> = {};
|
|
const indexes = buildProbeIndexes(response.links, sourceUrl, maxCount);
|
|
const tasks = indexes.map(async (index) => {
|
|
try {
|
|
const follow = await Tools.Net.visit({
|
|
visit_key: response.visitKey,
|
|
link_number: index + 1
|
|
});
|
|
const followUrl = follow && follow.url ? normalizeUrl(String(follow.url), sourceUrl) : "";
|
|
const followContent = follow && follow.content ? String(follow.content) : "";
|
|
const contentUrl = extractBestUrlFromText(followContent, sourceUrl);
|
|
resolved[index] = {
|
|
url: chooseBestUrl("", followUrl, sourceUrl) || chooseBestUrl("", contentUrl, sourceUrl)
|
|
};
|
|
} catch (error: any) {
|
|
console.error(`[resolveLinkUrlsByVisitKey] link ${index + 1} failed: ${error.message}`);
|
|
resolved[index] = { url: "" };
|
|
}
|
|
});
|
|
await Promise.all(tasks);
|
|
return resolved;
|
|
}
|
|
|
|
function chooseBestUrl(directUrl: string, resolvedUrl: string, sourceUrl: string): string {
|
|
const candidates = [resolvedUrl, directUrl].filter(Boolean);
|
|
for (const candidate of candidates) {
|
|
if (classifyLinkTarget(candidate, sourceUrl) === "external") {
|
|
return normalizeUrl(candidate, sourceUrl);
|
|
}
|
|
}
|
|
return "";
|
|
}
|
|
|
|
function shouldKeepLink(links: any[], index: number, text: string, url: string, sourceUrl: string): boolean {
|
|
if (!url) return false;
|
|
if (!text || looksLikeUiText(text)) return false;
|
|
if (classifyLinkTarget(url, sourceUrl) !== "external") {
|
|
return false;
|
|
}
|
|
return isClusteredResultLink(links, sourceUrl, index);
|
|
}
|
|
|
|
async function buildLinkLines(response: any, sourceUrl: string, maxItems: number = 20): Promise<string[]> {
|
|
const resultStart = findResultBlockStart(response.links, sourceUrl);
|
|
const resolvedByIndex = await resolveLinkUrlsByVisitKey(response, sourceUrl);
|
|
const lines: string[] = [];
|
|
const seen = new Set<string>();
|
|
for (let index = resultStart; index < response.links.length; index++) {
|
|
const link = response.links[index];
|
|
const text = getLinkText(link);
|
|
const directUrl = pickBestLinkUrl(link, sourceUrl);
|
|
const resolved = resolvedByIndex[index];
|
|
const bestUrl = chooseBestUrl(directUrl, resolved && resolved.url ? resolved.url : "", sourceUrl);
|
|
if (!shouldKeepLink(response.links, index, text, bestUrl, sourceUrl)) {
|
|
continue;
|
|
}
|
|
const key = toComparableUrl(bestUrl);
|
|
if (!key || seen.has(key)) {
|
|
continue;
|
|
}
|
|
seen.add(key);
|
|
lines.push(`[${index + 1}] ${text} - ${bestUrl}`);
|
|
if (lines.length >= maxItems) {
|
|
break;
|
|
}
|
|
}
|
|
return lines;
|
|
}
|
|
|
|
async function performSearch(platform: string, url: string, includeLinks: boolean = false) {
|
|
try {
|
|
const response = await Tools.Net.visit({ url });
|
|
if (!response) {
|
|
throw new Error(`无法获取 ${platform} 搜索结果`);
|
|
}
|
|
|
|
let parts: string[] = [];
|
|
let hasFilteredLinks = false;
|
|
if (response.visitKey !== undefined) {
|
|
parts.push(String(response.visitKey));
|
|
}
|
|
if (includeLinks && response.links && Array.isArray(response.links) && response.links.length > 0) {
|
|
const linksLines = await buildLinkLines(response, url);
|
|
if (linksLines.length > 0) {
|
|
parts.push(linksLines.join('\n'));
|
|
hasFilteredLinks = true;
|
|
}
|
|
} else if (includeLinks && response.content) {
|
|
const extractedUrls = extractUrlsFromText(response.content);
|
|
if (extractedUrls.length > 0) {
|
|
const lines = extractedUrls.slice(0, 20).map((item, index) => `[${index + 1}] ${item}`);
|
|
parts.push(lines.join('\n'));
|
|
}
|
|
}
|
|
if (response.content !== undefined && (!includeLinks || !hasFilteredLinks)) {
|
|
const contentText = includeLinks && response.links && Array.isArray(response.links)
|
|
? stripLeadingLinkDump(response.content)
|
|
: String(response.content);
|
|
parts.push(String(contentText));
|
|
}
|
|
|
|
return {
|
|
platform,
|
|
content: parts.join('\n')
|
|
};
|
|
} catch (error: any) {
|
|
return {
|
|
platform,
|
|
content: `${platform} 搜索失败: ${error.message}`
|
|
};
|
|
}
|
|
}
|
|
|
|
async function performImageSearch(platform: string, url: string) {
|
|
try {
|
|
const response = await Tools.Net.visit({ url, include_image_links: true });
|
|
if (!response) {
|
|
throw new Error(`无法获取 ${platform} 图片搜索结果`);
|
|
}
|
|
|
|
let parts: string[] = [];
|
|
|
|
if (response.visitKey !== undefined) {
|
|
parts.push(String(response.visitKey));
|
|
}
|
|
|
|
if (response.imageLinks && Array.isArray(response.imageLinks) && response.imageLinks.length > 0) {
|
|
const maxItems = 20;
|
|
const imagesLines = response.imageLinks.slice(0, maxItems).map((link: string, index: number) => {
|
|
const lastSeg = String(link).split('/').pop() || 'image';
|
|
const name = lastSeg.split('?')[0] || 'image';
|
|
return `[${index + 1}] ${name}`;
|
|
});
|
|
parts.push("Images:");
|
|
parts.push(imagesLines.join('\n'));
|
|
}
|
|
|
|
if (response.content !== undefined) {
|
|
parts.push(String(response.content));
|
|
}
|
|
|
|
return {
|
|
platform,
|
|
content: parts.join('\n')
|
|
};
|
|
} catch (error: any) {
|
|
return {
|
|
platform,
|
|
content: `${platform} 图片搜索失败: ${error.message}`
|
|
};
|
|
}
|
|
}
|
|
|
|
async function search_bing(query: string, includeLinks: boolean = false) {
|
|
const encodedQuery = encodeURIComponent(query);
|
|
const url = `https://cn.bing.com/search?q=${encodedQuery}&FORM=HDRSC1`;
|
|
return performSearch('bing', url, includeLinks);
|
|
}
|
|
|
|
async function search_baidu(query: string, pageStr?: string, includeLinks: boolean = false) {
|
|
let page = 1;
|
|
if (pageStr) {
|
|
page = parseInt(pageStr, 10);
|
|
}
|
|
const pn = (page - 1) * 10;
|
|
const encodedQuery = encodeURIComponent(query);
|
|
const url = `https://www.baidu.com/s?wd=${encodedQuery}&pn=${pn}`;
|
|
return performSearch('baidu', url, includeLinks);
|
|
}
|
|
|
|
async function search_sogou(query: string, pageStr?: string, includeLinks: boolean = false) {
|
|
let page = 1;
|
|
if (pageStr) {
|
|
page = parseInt(pageStr, 10);
|
|
}
|
|
const encodedQuery = encodeURIComponent(query);
|
|
const url = `https://www.sogou.com/web?query=${encodedQuery}&page=${page}`;
|
|
return performSearch('sogou', url, includeLinks);
|
|
}
|
|
|
|
async function search_quark(query: string, pageStr?: string, includeLinks: boolean = false) {
|
|
let page = 1;
|
|
if (pageStr) {
|
|
page = parseInt(pageStr, 10);
|
|
}
|
|
const encodedQuery = encodeURIComponent(query);
|
|
const url = `https://quark.sm.cn/s?q=${encodedQuery}&page=${page}`;
|
|
return performSearch('quark', url, includeLinks);
|
|
}
|
|
|
|
async function search_bing_images(query: string) {
|
|
const encodedQuery = encodeURIComponent(query);
|
|
const url = `https://www.bing.com/images/search?q=${encodedQuery}`;
|
|
return performImageSearch('bing_images', url);
|
|
}
|
|
|
|
async function search_wikimedia_images(query: string) {
|
|
const encodedQuery = encodeURIComponent(query);
|
|
const url = `https://commons.wikimedia.org/wiki/Special:MediaSearch?type=image&search=${encodedQuery}`;
|
|
return performImageSearch('wikimedia_images', url);
|
|
}
|
|
|
|
async function search_duckduckgo_images(query: string) {
|
|
const encodedQuery = encodeURIComponent(query);
|
|
const url = `https://duckduckgo.com/?q=${encodedQuery}&iax=images&ia=images`;
|
|
return performImageSearch('duckduckgo_images', url);
|
|
}
|
|
|
|
async function search_ecosia_images(query: string) {
|
|
const encodedQuery = encodeURIComponent(query);
|
|
const url = `https://www.ecosia.org/images?q=${encodedQuery}`;
|
|
return performImageSearch('ecosia_images', url);
|
|
}
|
|
|
|
async function search_pexels_images(query: string) {
|
|
const encodedQuery = encodeURIComponent(query);
|
|
const url = `https://www.pexels.com/search/${encodedQuery}/`;
|
|
return performImageSearch('pexels_images', url);
|
|
}
|
|
|
|
async function search_pixabay_images(query: string) {
|
|
const encodedQuery = encodeURIComponent(query);
|
|
const url = `https://pixabay.com/images/search/${encodedQuery}/`;
|
|
return performImageSearch('pixabay_images', url);
|
|
}
|
|
|
|
const searchFunctions: any = {
|
|
bing: search_bing,
|
|
baidu: search_baidu,
|
|
sogou: search_sogou,
|
|
quark: search_quark
|
|
};
|
|
|
|
async function combined_search(query: string, platforms: string, includeLinks: boolean = true) {
|
|
const platformKeysRaw = platforms.split(',');
|
|
const platformKeys: string[] = [];
|
|
for (const platform of platformKeysRaw) {
|
|
const trimmedPlatform = platform.trim();
|
|
if (trimmedPlatform) {
|
|
platformKeys.push(trimmedPlatform);
|
|
}
|
|
}
|
|
|
|
const searchPromises: Promise<any>[] = [];
|
|
for (const platform of platformKeys) {
|
|
const searchFn = searchFunctions[platform];
|
|
if (searchFn) {
|
|
if (platform === 'bing') {
|
|
searchPromises.push(searchFn(query, includeLinks));
|
|
} else {
|
|
// 注意：这里我们假设组合搜索总是从第一页开始
|
|
searchPromises.push(searchFn(query, '1', includeLinks));
|
|
}
|
|
} else {
|
|
searchPromises.push(Promise.resolve({ platform, success: false, message: `不支持的搜索平台: ${platform}` }));
|
|
}
|
|
}
|
|
|
|
return Promise.all(searchPromises);
|
|
}
|
|
|
|
async function search(query: string, platforms?: string, includeLinks: boolean = false) {
|
|
return combined_search(query, platforms || "bing,baidu,sogou,quark", includeLinks);
|
|
}
|
|
|
|
async function search_web(query: string, platforms?: string, includeLinks: boolean = false) {
|
|
return search(query, platforms, includeLinks);
|
|
}
|
|
|
|
async function main() {
|
|
const result = await combined_search('如何学习编程', 'bing,baidu,sogou,quark');
|
|
console.log(JSON.stringify(result, null, 2));
|
|
}
|
|
|
|
function wrap(coreFunction: (...args: any[]) => Promise<any>, parameterNames: string[]) {
|
|
return async (params: any) => {
|
|
const args = parameterNames.map((name) => params[name]);
|
|
return coreFunction(...args);
|
|
};
|
|
}
|
|
|
|
return {
|
|
search_bing,
|
|
search_baidu,
|
|
search_sogou,
|
|
search_quark,
|
|
search,
|
|
search_web,
|
|
search_bing_images,
|
|
search_wikimedia_images,
|
|
search_duckduckgo_images,
|
|
search_ecosia_images,
|
|
search_pexels_images,
|
|
search_pixabay_images,
|
|
combined_search,
|
|
wrap,
|
|
main
|
|
};
|
|
})();
|
|
|
|
exports.search_bing = various_search.wrap(various_search.search_bing, ['query', 'includeLinks']);
|
|
exports.search_baidu = various_search.wrap(various_search.search_baidu, ['query', 'page', 'includeLinks']);
|
|
exports.search_sogou = various_search.wrap(various_search.search_sogou, ['query', 'page', 'includeLinks']);
|
|
exports.search_quark = various_search.wrap(various_search.search_quark, ['query', 'page', 'includeLinks']);
|
|
exports.search = various_search.wrap(various_search.search, ['query', 'platforms', 'includeLinks']);
|
|
exports.search_web = various_search.wrap(various_search.search_web, ['query', 'platforms', 'includeLinks']);
|
|
exports.search_bing_images = various_search.wrap(various_search.search_bing_images, ['query']);
|
|
exports.search_wikimedia_images = various_search.wrap(various_search.search_wikimedia_images, ['query']);
|
|
exports.search_duckduckgo_images = various_search.wrap(various_search.search_duckduckgo_images, ['query']);
|
|
exports.search_ecosia_images = various_search.wrap(various_search.search_ecosia_images, ['query']);
|
|
exports.search_pexels_images = various_search.wrap(various_search.search_pexels_images, ['query']);
|
|
exports.search_pixabay_images = various_search.wrap(various_search.search_pixabay_images, ['query']);
|
|
exports.combined_search = various_search.wrap(various_search.combined_search, ['query', 'platforms', 'includeLinks']);
|
|
|
|
exports.main = various_search.main;
|