388 lines
12 KiB
JavaScript
388 lines
12 KiB
JavaScript
/**
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* 数据统计和报表API - 后台管理
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* 提供系统数据统计和可视化报表
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*/
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const Framework = require("../../framework/node-core-framework.js");
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module.exports = {
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/**
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* @swagger
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* /admin_api/dashboard/overview:
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* get:
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* summary: 获取系统概览
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* description: 获取系统整体运行状态概览
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* tags: [后台-数据统计]
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* responses:
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* 200:
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* description: 获取成功
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*/
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'GET /dashboard/overview': async (ctx) => {
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const models = Framework.getModels();
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const {
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pla_account,
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task_status,
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job_postings,
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apply_records,
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chat_records,
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op
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} = models;
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// 设备统计（直接从数据库获取）
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const totalDevices = await pla_account.count({ where: { is_delete: 0 } });
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const onlineDevices = await pla_account.count({ where: { is_delete: 0, is_online: 1 } });
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const runningDevices = 0; // 不再维护运行状态
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// 任务统计
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const [totalTasks, runningTasks, completedTasks, failedTasks] = await Promise.all([
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task_status.count(),
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task_status.count({ where: { status: 'running' } }),
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task_status.count({ where: { status: 'completed' } }),
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task_status.count({ where: { status: 'failed' } })
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]);
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// 岗位统计
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const [totalJobs, pendingJobs, appliedJobs, highQualityJobs] = await Promise.all([
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job_postings.count(),
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job_postings.count({ where: { applyStatus: 'pending' } }),
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job_postings.count({ where: { applyStatus: 'applied' } }),
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job_postings.count({ where: { aiMatchScore: { [op.gte]: 70 } } })
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]);
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// 投递统计
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const [totalApplies, viewedApplies, interviewApplies, offerApplies] = await Promise.all([
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apply_records.count(),
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apply_records.count({ where: { isViewed: true } }),
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apply_records.count({ where: { hasInterview: true } }),
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apply_records.count({ where: { hasOffer: true } })
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]);
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// 聊天统计
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const [totalChats, repliedChats, interviewInvitations] = await Promise.all([
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chat_records.count(),
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chat_records.count({ where: { hasReply: true } }),
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chat_records.count({ where: { isInterviewInvitation: true } })
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]);
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// 计算各种率
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const taskSuccessRate = totalTasks > 0 ? ((completedTasks / totalTasks) * 100).toFixed(2) : 0;
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const applyViewRate = totalApplies > 0 ? ((viewedApplies / totalApplies) * 100).toFixed(2) : 0;
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const interviewRate = totalApplies > 0 ? ((interviewApplies / totalApplies) * 100).toFixed(2) : 0;
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const offerRate = totalApplies > 0 ? ((offerApplies / totalApplies) * 100).toFixed(2) : 0;
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const chatReplyRate = totalChats > 0 ? ((repliedChats / totalChats) * 100).toFixed(2) : 0;
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return ctx.success({
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device: {
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total: totalDevices,
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online: onlineDevices,
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offline: totalDevices - onlineDevices,
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running: runningDevices,
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onlineRate: totalDevices > 0 ? ((onlineDevices / totalDevices) * 100).toFixed(2) : 0
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},
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task: {
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total: totalTasks,
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running: runningTasks,
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completed: completedTasks,
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failed: failedTasks,
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successRate: taskSuccessRate
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},
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job: {
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total: totalJobs,
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pending: pendingJobs,
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applied: appliedJobs,
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highQuality: highQualityJobs
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},
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apply: {
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total: totalApplies,
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viewed: viewedApplies,
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interview: interviewApplies,
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offer: offerApplies,
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viewRate: applyViewRate,
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interviewRate,
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offerRate
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},
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chat: {
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total: totalChats,
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replied: repliedChats,
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interviewInvitations,
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replyRate: chatReplyRate
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}
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});
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},
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/**
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* @swagger
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* /admin_api/dashboard/trend:
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* post:
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* summary: 获取趋势统计
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* description: 获取指定时间范围内的数据趋势
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* tags: [后台-数据统计]
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* requestBody:
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* required: true
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* content:
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* application/json:
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* schema:
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* type: object
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* properties:
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* startDate:
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* type: string
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* description: 开始日期
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* endDate:
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* type: string
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* description: 结束日期
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* type:
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* type: string
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* description: 统计类型(task/job/apply/chat)
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* responses:
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* 200:
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* description: 获取成功
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*/
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'POST /dashboard/trend': async (ctx) => {
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const models = Framework.getModels();
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const body = ctx.getBody();
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const { startDate, endDate, type = 'task' } = body;
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const start = startDate ? new Date(startDate) : new Date(Date.now() - 30 * 24 * 60 * 60 * 1000); // 默认30天
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const end = endDate ? new Date(endDate) : new Date();
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let Model;
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let dateField;
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switch (type) {
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case 'task':
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Model = models.task_status;
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dateField = 'id';
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break;
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case 'job':
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Model = models.job_postings;
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dateField = 'id';
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break;
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case 'apply':
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Model = models.apply_records;
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dateField = 'applyTime';
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break;
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case 'chat':
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Model = models.chat_records;
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dateField = 'sendTime';
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break;
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default:
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return ctx.fail('无效的统计类型');
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}
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const data = await Model.findAll({
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where: {
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[dateField]: {
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[models.op.between]: [start, end]
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}
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},
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attributes: [
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[models.sequelize.fn('DATE', models.sequelize.col(dateField)), 'date'],
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[models.sequelize.fn('COUNT', models.sequelize.col('*')), 'count']
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],
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group: [models.sequelize.fn('DATE', models.sequelize.col(dateField))],
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order: [[models.sequelize.fn('DATE', models.sequelize.col(dateField)), 'ASC']],
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raw: true
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});
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return ctx.success({
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type,
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startDate: start,
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endDate: end,
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data
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});
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},
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/**
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* @swagger
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* /admin_api/dashboard/device-performance:
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* get:
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* summary: 获取设备性能统计
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* description: 获取各设备的性能和工作量统计
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* tags: [后台-数据统计]
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* responses:
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* 200:
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* description: 获取成功
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*/
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'GET /dashboard/device-performance': async (ctx) => {
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const models = Framework.getModels();
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const { pla_account, task_status, job_postings, apply_records, chat_records } = models;
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// 从 pla_account 获取所有账号
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const accounts = await pla_account.findAll({
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where: { is_delete: 0 },
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attributes: ['id', 'sn_code', 'name', 'is_online'],
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limit: 20
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});
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// 为每个账号统计任务、岗位、投递、聊天数据
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const performanceData = await Promise.all(accounts.map(async (account) => {
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const snCode = account.sn_code;
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const isOnline = account.is_online === 1;
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// 统计任务
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const [completedTasks, failedTasks] = await Promise.all([
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task_status.count({ where: { sn_code: snCode, status: 'completed' } }),
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task_status.count({ where: { sn_code: snCode, status: 'failed' } })
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]);
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// 统计岗位、投递、聊天（如果有相关字段）
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const [jobsSearched, applies, chats] = await Promise.all([
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job_postings.count({ where: { sn_code: snCode } }).catch(() => 0),
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apply_records.count({ where: { sn_code: snCode } }).catch(() => 0),
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chat_records.count({ where: { sn_code: snCode } }).catch(() => 0)
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]);
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const total = completedTasks + failedTasks;
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const successRate = total > 0 ? ((completedTasks / total) * 100).toFixed(2) : 0;
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return {
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sn_code: snCode,
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deviceName: account.name || snCode,
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tasksCompleted: completedTasks,
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tasksFailed: failedTasks,
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jobsSearched,
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applies,
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chats,
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successRate,
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healthScore: isOnline ? 100 : 0,
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onlineDuration: 0 // 不再维护在线时长
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};
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}));
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// 按完成任务数排序
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performanceData.sort((a, b) => b.tasksCompleted - a.tasksCompleted);
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return ctx.success(performanceData);
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},
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/**
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* @swagger
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* /admin_api/dashboard/job-quality:
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* get:
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* summary: 获取岗位质量分布
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* description: 获取岗位匹配度的分布统计
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* tags: [后台-数据统计]
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* responses:
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* 200:
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* description: 获取成功
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*/
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'GET /dashboard/job-quality': async (ctx) => {
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const models = Framework.getModels();
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const { job_postings, op } = models;
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const [
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excellent, // 90+
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good, // 70-89
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medium, // 50-69
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low, // <50
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outsourcing
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] = await Promise.all([
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job_postings.count({ where: { aiMatchScore: { [op.gte]: 90 } } }),
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job_postings.count({ where: { aiMatchScore: { [op.between]: [70, 89] } } }),
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job_postings.count({ where: { aiMatchScore: { [op.between]: [50, 69] } } }),
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job_postings.count({ where: { aiMatchScore: { [op.lt]: 50 } } }),
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job_postings.count({ where: { isOutsourcing: true } })
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]);
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const total = excellent + good + medium + low;
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return ctx.success({
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distribution: {
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excellent: { count: excellent, percentage: total > 0 ? ((excellent / total) * 100).toFixed(2) : 0 },
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good: { count: good, percentage: total > 0 ? ((good / total) * 100).toFixed(2) : 0 },
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medium: { count: medium, percentage: total > 0 ? ((medium / total) * 100).toFixed(2) : 0 },
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low: { count: low, percentage: total > 0 ? ((low / total) * 100).toFixed(2) : 0 }
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},
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outsourcing: {
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count: outsourcing,
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percentage: total > 0 ? ((outsourcing / total) * 100).toFixed(2) : 0
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},
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total
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});
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},
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/**
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* @swagger
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* /admin_api/dashboard/apply-funnel:
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* get:
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* summary: 获取投递漏斗数据
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* description: 获取从投递到Offer的转化漏斗
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* tags: [后台-数据统计]
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* responses:
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* 200:
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* description: 获取成功
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*/
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'GET /dashboard/apply-funnel': async (ctx) => {
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const models = Framework.getModels();
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const { apply_records } = models;
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const [
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totalApplies,
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viewedApplies,
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interestedApplies,
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chattedApplies,
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interviewApplies,
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offerApplies
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] = await Promise.all([
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apply_records.count(),
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apply_records.count({ where: { isViewed: true } }),
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apply_records.count({ where: { feedbackStatus: 'interested' } }),
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apply_records.count({ where: { hasChatted: true } }),
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apply_records.count({ where: { hasInterview: true } }),
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apply_records.count({ where: { hasOffer: true } })
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]);
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const funnelData = [
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{
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stage: '投递',
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count: totalApplies,
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percentage: 100,
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conversionRate: 100
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},
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{
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stage: '查看',
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count: viewedApplies,
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percentage: totalApplies > 0 ? ((viewedApplies / totalApplies) * 100).toFixed(2) : 0,
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conversionRate: totalApplies > 0 ? ((viewedApplies / totalApplies) * 100).toFixed(2) : 0
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},
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{
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stage: '感兴趣',
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count: interestedApplies,
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percentage: totalApplies > 0 ? ((interestedApplies / totalApplies) * 100).toFixed(2) : 0,
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conversionRate: viewedApplies > 0 ? ((interestedApplies / viewedApplies) * 100).toFixed(2) : 0
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},
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{
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stage: '沟通',
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count: chattedApplies,
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percentage: totalApplies > 0 ? ((chattedApplies / totalApplies) * 100).toFixed(2) : 0,
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conversionRate: interestedApplies > 0 ? ((chattedApplies / interestedApplies) * 100).toFixed(2) : 0
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},
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{
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stage: '面试',
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count: interviewApplies,
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percentage: totalApplies > 0 ? ((interviewApplies / totalApplies) * 100).toFixed(2) : 0,
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conversionRate: chattedApplies > 0 ? ((interviewApplies / chattedApplies) * 100).toFixed(2) : 0
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},
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{
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stage: 'Offer',
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count: offerApplies,
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percentage: totalApplies > 0 ? ((offerApplies / totalApplies) * 100).toFixed(2) : 0,
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conversionRate: interviewApplies > 0 ? ((offerApplies / interviewApplies) * 100).toFixed(2) : 0
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}
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];
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return ctx.success({
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funnel: funnelData,
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overallConversionRate: totalApplies > 0 ? ((offerApplies / totalApplies) * 100).toFixed(2) : 0
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});
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}
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};
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