feat: 完善后台管理+搜索功能+分销系统
主要更新： - 后台菜单精简（9项→6项） - 新增搜索功能（敏感信息过滤） - 分销绑定和提现系统完善 - 数据库初始化API（自动修复表结构） - 用户管理：显示绑定关系详情 - 小程序：上下章导航优化、匹配页面重构 - 修复hydration和数据类型问题
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卡若
273
app/api/search/route.ts
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273
app/api/search/route.ts
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/**
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* 搜索API
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* 支持从数据库搜索标题和内容
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* 同时支持搜索匹配的人和事情（隐藏功能）
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*/
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import { NextRequest, NextResponse } from 'next/server'
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import { query } from '@/lib/db'
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import { bookData } from '@/lib/book-data'
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import fs from 'fs'
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import path from 'path'
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/**
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* 从文件系统搜索章节
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*/
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function searchFromFiles(keyword: string): any[] {
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const results: any[] = []
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const lowerKeyword = keyword.toLowerCase()
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for (const part of bookData) {
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for (const chapter of part.chapters) {
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for (const section of chapter.sections) {
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// 搜索标题
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if (section.title.toLowerCase().includes(lowerKeyword)) {
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results.push({
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id: section.id,
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title: section.title,
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partTitle: part.title,
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chapterTitle: chapter.title,
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price: section.price,
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isFree: section.isFree,
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matchType: 'title',
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score: 10 // 标题匹配得分更高
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})
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continue
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}
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// 搜索内容
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const filePath = path.join(process.cwd(), section.filePath)
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if (fs.existsSync(filePath)) {
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try {
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const content = fs.readFileSync(filePath, 'utf-8')
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if (content.toLowerCase().includes(lowerKeyword)) {
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// 提取匹配的上下文
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const lowerContent = content.toLowerCase()
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const matchIndex = lowerContent.indexOf(lowerKeyword)
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const start = Math.max(0, matchIndex - 50)
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const end = Math.min(content.length, matchIndex + keyword.length + 50)
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const snippet = content.substring(start, end)
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results.push({
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id: section.id,
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title: section.title,
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partTitle: part.title,
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chapterTitle: chapter.title,
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price: section.price,
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isFree: section.isFree,
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matchType: 'content',
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snippet: (start > 0 ? '...' : '') + snippet + (end < content.length ? '...' : ''),
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score: 5 // 内容匹配得分较低
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})
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}
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} catch (e) {
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// 忽略读取错误
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}
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}
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}
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}
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}
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// 按得分排序
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return results.sort((a, b) => b.score - a.score)
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}
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/**
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* 从数据库搜索章节
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*/
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async function searchFromDB(keyword: string): Promise<any[]> {
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try {
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const results = await query(`
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SELECT
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id,
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section_title as title,
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part_title as partTitle,
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chapter_title as chapterTitle,
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price,
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is_free as isFree,
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CASE
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WHEN section_title LIKE ? THEN 'title'
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ELSE 'content'
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END as matchType,
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CASE
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WHEN section_title LIKE ? THEN 10
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ELSE 5
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END as score,
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SUBSTRING(content,
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GREATEST(1, LOCATE(?, content) - 50),
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150
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) as snippet
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FROM chapters
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WHERE section_title LIKE ?
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OR content LIKE ?
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ORDER BY score DESC, id ASC
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LIMIT 50
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`, [
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`%${keyword}%`,
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`%${keyword}%`,
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keyword,
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`%${keyword}%`,
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`%${keyword}%`
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]) as any[]
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return results
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} catch (e) {
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console.error('[Search API] 数据库搜索失败:', e)
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return []
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}
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}
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/**
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* 提取文章中的人物信息（隐藏功能）
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* 用于"找伙伴"功能的智能匹配
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*/
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function extractPeopleFromContent(content: string): string[] {
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const people: string[] = []
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// 匹配常见人名模式
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// 中文名：2-4个汉字
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const chineseNames = content.match(/[\u4e00-\u9fa5]{2,4}(?=：|:|说|的|告诉|表示)/g) || []
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// 英文名/昵称：带@或引号的名称
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const nicknames = content.match(/["'@]([^"'@\s]+)["']?/g) || []
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// 职位+名字模式
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const titleNames = content.match(/(?:老板|总|经理|创始人|合伙人|店长)[\u4e00-\u9fa5]{2,3}/g) || []
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people.push(...chineseNames.slice(0, 10))
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people.push(...nicknames.map(n => n.replace(/["'@]/g, '')).slice(0, 5))
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people.push(...titleNames.slice(0, 5))
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// 去重
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return [...new Set(people)]
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}
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/**
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* 提取文章中的关键事件/标签
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*/
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function extractKeywords(content: string): string[] {
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const keywords: string[] = []
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// 行业关键词
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const industries = ['电商', '私域', '社群', '抖音', '直播', '餐饮', '美业', '健康', 'AI', '供应链', '金融', '拍卖', '游戏', '电竞']
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// 模式关键词
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const patterns = ['轻资产', '复购', '被动收入', '杠杆', '信息差', '流量', '分销', '代理', '加盟']
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// 金额模式
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const amounts = content.match(/(\d+)万/g) || []
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for (const ind of industries) {
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if (content.includes(ind)) keywords.push(ind)
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}
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for (const pat of patterns) {
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if (content.includes(pat)) keywords.push(pat)
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}
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keywords.push(...amounts.slice(0, 5))
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return [...new Set(keywords)]
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}
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/**
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* GET - 搜索
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* 参数:
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* - q: 搜索关键词
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* - type: 'all' | 'title' | 'content' | 'people' | 'keywords'
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* - source: 'db' | 'file' | 'auto' (默认auto)
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*/
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export async function GET(request: NextRequest) {
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const { searchParams } = new URL(request.url)
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const keyword = searchParams.get('q') || searchParams.get('keyword') || ''
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const type = searchParams.get('type') || 'all'
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const source = searchParams.get('source') || 'auto'
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if (!keyword || keyword.length < 1) {
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return NextResponse.json({
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success: false,
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error: '请输入搜索关键词'
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}, { status: 400 })
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}
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try {
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let results: any[] = []
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// 根据source选择搜索方式
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if (source === 'db') {
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results = await searchFromDB(keyword)
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} else if (source === 'file') {
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results = searchFromFiles(keyword)
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} else {
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// auto: 先尝试数据库，失败则使用文件
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results = await searchFromDB(keyword)
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if (results.length === 0) {
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results = searchFromFiles(keyword)
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}
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}
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// 根据type过滤
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if (type === 'title') {
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results = results.filter(r => r.matchType === 'title')
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} else if (type === 'content') {
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results = results.filter(r => r.matchType === 'content')
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}
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// 如果搜索人物或关键词（隐藏功能）
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let people: string[] = []
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let keywords: string[] = []
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if (type === 'people' || type === 'all') {
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// 从搜索结果的内容中提取人物
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for (const result of results.slice(0, 5)) {
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const filePath = path.join(process.cwd(), 'book')
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// 从bookData找到对应文件
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for (const part of bookData) {
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for (const chapter of part.chapters) {
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const section = chapter.sections.find(s => s.id === result.id)
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if (section) {
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const fullPath = path.join(process.cwd(), section.filePath)
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if (fs.existsSync(fullPath)) {
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const content = fs.readFileSync(fullPath, 'utf-8')
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people.push(...extractPeopleFromContent(content))
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}
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}
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}
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}
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}
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people = [...new Set(people)].slice(0, 20)
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}
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if (type === 'keywords' || type === 'all') {
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// 从搜索结果的内容中提取关键词
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for (const result of results.slice(0, 5)) {
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for (const part of bookData) {
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for (const chapter of part.chapters) {
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const section = chapter.sections.find(s => s.id === result.id)
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if (section) {
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const fullPath = path.join(process.cwd(), section.filePath)
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if (fs.existsSync(fullPath)) {
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const content = fs.readFileSync(fullPath, 'utf-8')
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keywords.push(...extractKeywords(content))
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}
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}
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}
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}
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}
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keywords = [...new Set(keywords)].slice(0, 20)
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}
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return NextResponse.json({
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success: true,
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data: {
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keyword,
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total: results.length,
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results: results.slice(0, 20), // 限制返回数量
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// 隐藏功能数据
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people: type === 'people' || type === 'all' ? people : undefined,
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keywords: type === 'keywords' || type === 'all' ? keywords : undefined
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}
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})
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} catch (error) {
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console.error('[Search API] 搜索失败:', error)
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return NextResponse.json({
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success: false,
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error: '搜索失败: ' + (error as Error).message
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}, { status: 500 })
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}
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}
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