274 lines
7.9 KiB
TypeScript
Executable File
274 lines
7.9 KiB
TypeScript
Executable File
import { NextResponse } from "next/server"
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import type { TrafficUser } from "@/types/traffic"
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// 中文名字生成器数据
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const familyNames = [
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"张",
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"王",
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"李",
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"赵",
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"陈",
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"刘",
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"杨",
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"黄",
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"周",
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"吴",
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"朱",
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"孙",
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"马",
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"胡",
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"郭",
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"林",
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"何",
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"高",
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"梁",
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"郑",
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"罗",
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"宋",
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"谢",
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"唐",
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"韩",
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"曹",
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"许",
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"邓",
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"萧",
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"冯",
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]
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const givenNames1 = [
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"志",
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"建",
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"文",
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"明",
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"永",
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"春",
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"秀",
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"金",
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"水",
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"玉",
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"国",
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"立",
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"德",
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"海",
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"和",
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"荣",
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"伟",
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"新",
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"英",
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"佳",
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]
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const givenNames2 = [
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"华",
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"平",
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"军",
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"强",
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"辉",
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"敏",
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"峰",
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"磊",
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"超",
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"艳",
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"娜",
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"霞",
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"燕",
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"娟",
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"静",
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"丽",
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"涛",
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"洋",
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"勇",
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"龙",
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]
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// 生成固定的用户数据池
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const userPool: TrafficUser[] = Array.from({ length: 1610 }, (_, i) => {
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const familyName = familyNames[Math.floor(Math.random() * familyNames.length)]
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const givenName1 = givenNames1[Math.floor(Math.random() * givenNames1.length)]
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const givenName2 = givenNames2[Math.floor(Math.random() * givenNames2.length)]
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const fullName = Math.random() > 0.5 ? familyName + givenName1 + givenName2 : familyName + givenName1
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// 生成随机时间（在过去7天内）
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const date = new Date()
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date.setDate(date.getDate() - Math.floor(Math.random() * 7))
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return {
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id: `${Date.now()}-${i}`,
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avatar: `/placeholder.svg?height=40&width=40&text=${fullName[0]}`,
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nickname: fullName,
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wechatId: `wxid_${Math.random().toString(36).substr(2, 8)}`,
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phone: `1${["3", "5", "7", "8", "9"][Math.floor(Math.random() * 5)]}${Array.from({ length: 9 }, () => Math.floor(Math.random() * 10)).join("")}`,
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region: [
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"广东深圳",
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"浙江杭州",
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"江苏苏州",
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"北京",
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"上海",
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"四川成都",
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"湖北武汉",
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"福建厦门",
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"山东青岛",
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"河南郑州",
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][Math.floor(Math.random() * 10)],
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note: [
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"咨询产品价格",
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"对产品很感兴趣",
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"准备购买",
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"需要更多信息",
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"想了解优惠活动",
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"询问产品规格",
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"要求产品demo",
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"索要产品目录",
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"询问售后服务",
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"要求上门演示",
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][Math.floor(Math.random() * 10)],
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status: ["pending", "added", "failed"][Math.floor(Math.random() * 3)] as TrafficUser["status"],
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addTime: date.toISOString(),
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source: ["抖音直播", "小红书", "微信朋友圈", "视频号", "公众号", "个人主页"][Math.floor(Math.random() * 6)],
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assignedTo: "",
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category: ["potential", "customer", "lost"][Math.floor(Math.random() * 3)] as TrafficUser["category"],
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tags: [],
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}
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})
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// 计算今日新增数量
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const todayStart = new Date()
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todayStart.setHours(0, 0, 0, 0)
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const todayUsers = userPool.filter((user) => new Date(user.addTime) >= todayStart)
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// 生成微信好友数据池
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const generateWechatFriends = (wechatId: string, count: number) => {
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return Array.from({ length: count }, (_, i) => {
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const familyName = familyNames[Math.floor(Math.random() * familyNames.length)]
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const givenName1 = givenNames1[Math.floor(Math.random() * givenNames1.length)]
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const givenName2 = givenNames2[Math.floor(Math.random() * givenNames2.length)]
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const fullName = Math.random() > 0.5 ? familyName + givenName1 + givenName2 : familyName + givenName1
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// 生成随机时间（在过去30天内）
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const date = new Date()
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date.setDate(date.getDate() - Math.floor(Math.random() * 30))
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return {
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id: `wechat-${wechatId}-${i}`,
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avatar: `/placeholder.svg?height=40&width=40&text=${fullName[0]}`,
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nickname: fullName,
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wechatId: `wxid_${Math.random().toString(36).substr(2, 8)}`,
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phone: `1${["3", "5", "7", "8", "9"][Math.floor(Math.random() * 5)]}${Array.from({ length: 9 }, () => Math.floor(Math.random() * 10)).join("")}`,
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region: [
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"广东深圳",
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"浙江杭州",
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"江苏苏州",
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"北京",
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"上海",
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"四川成都",
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"湖北武汉",
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"福建厦门",
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"山东青岛",
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"河南郑州",
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][Math.floor(Math.random() * 10)],
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note: [
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"咨询产品价格",
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"对产品很感兴趣",
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"准备购买",
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"需要更多信息",
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"想了解优惠活动",
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"询问产品规格",
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"要求产品demo",
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"索要产品目录",
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"询问售后服务",
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"要求上门演示",
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][Math.floor(Math.random() * 10)],
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status: ["pending", "added", "failed"][Math.floor(Math.random() * 3)] as TrafficUser["status"],
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addTime: date.toISOString(),
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source: ["抖音直播", "小红书", "微信朋友圈", "视频号", "公众号", "个人主页", "微信好友"][
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Math.floor(Math.random() * 7)
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],
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assignedTo: "",
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category: ["potential", "customer", "lost"][Math.floor(Math.random() * 3)] as TrafficUser["category"],
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tags: [],
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}
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})
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}
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// 微信好友数据缓存
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const wechatFriendsCache = new Map<string, TrafficUser[]>()
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export async function GET(request: Request) {
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const { searchParams } = new URL(request.url)
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const page = Number.parseInt(searchParams.get("page") || "1")
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const pageSize = Number.parseInt(searchParams.get("pageSize") || "10")
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const search = searchParams.get("search") || ""
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const category = searchParams.get("category") || "all"
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const source = searchParams.get("source") || "all"
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const status = searchParams.get("status") || "all"
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const startDate = searchParams.get("startDate")
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const endDate = searchParams.get("endDate")
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const wechatSource = searchParams.get("wechatSource") || ""
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let filteredUsers = [...userPool]
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// 如果有微信来源参数，生成或获取微信好友数据
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if (wechatSource) {
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if (!wechatFriendsCache.has(wechatSource)) {
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// 生成150-300个随机好友
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const friendCount = Math.floor(Math.random() * (300 - 150)) + 150
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wechatFriendsCache.set(wechatSource, generateWechatFriends(wechatSource, friendCount))
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}
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filteredUsers = wechatFriendsCache.get(wechatSource) || []
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}
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// 应用过滤条件
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filteredUsers = filteredUsers.filter((user) => {
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const matchesSearch = search
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? user.nickname.toLowerCase().includes(search.toLowerCase()) ||
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user.wechatId.toLowerCase().includes(search.toLowerCase()) ||
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user.phone.includes(search)
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: true
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const matchesCategory = category === "all" ? true : user.category === category
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const matchesSource = source === "all" ? true : user.source === source
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const matchesStatus = status === "all" ? true : user.status === status
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const matchesDate =
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startDate && endDate
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? new Date(user.addTime) >= new Date(startDate) && new Date(user.addTime) <= new Date(endDate)
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: true
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return matchesSearch && matchesCategory && matchesSource && matchesStatus && matchesDate
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})
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// 按添加时间倒序排序
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filteredUsers.sort((a, b) => new Date(b.addTime).getTime() - new Date(a.addTime).getTime())
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// 计算分页
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const total = filteredUsers.length
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const totalPages = Math.ceil(total / pageSize)
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const start = (page - 1) * pageSize
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const end = start + pageSize
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const users = filteredUsers.slice(start, end)
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// 计算分类统计
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const categoryStats = {
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potential: userPool.filter((user) => user.category === "potential").length,
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customer: userPool.filter((user) => user.category === "customer").length,
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lost: userPool.filter((user) => user.category === "lost").length,
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}
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// 模拟网络延迟
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await new Promise((resolve) => setTimeout(resolve, 500))
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return NextResponse.json({
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users,
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pagination: {
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total,
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totalPages,
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currentPage: page,
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pageSize,
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},
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stats: {
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total: wechatSource ? filteredUsers.length : userPool.length,
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todayNew: wechatSource ? Math.floor(filteredUsers.length * 0.1) : todayUsers.length,
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categoryStats,
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},
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})
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}
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