存客宝 React

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柳清爽
2025-03-29 16:50:39 +08:00
parent caea0b4b99
commit 7e7c199996
388 changed files with 53282 additions and 2076 deletions

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