373 lines
14 KiB
JavaScript
373 lines
14 KiB
JavaScript
const db = require('../dbProxy.js');
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const config = require('./config.js');
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const deviceManager = require('./deviceManager.js');
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const command = require('./command.js');
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const jobFilterService = require('../job/job_filter_service.js');
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/**
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* 任务处理器（简化版）
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* 处理各种类型的任务
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*/
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class TaskHandlers {
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constructor(mqttClient) {
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this.mqttClient = mqttClient;
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}
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/**
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* 注册任务处理器到任务队列
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* @param {object} taskQueue - 任务队列实例
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*/
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register(taskQueue) {
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// 自动投递任务
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taskQueue.registerHandler('auto_deliver', async (task) => {
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return await this.handleAutoDeliverTask(task);
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});
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// 自动沟通任务（待实现）
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taskQueue.registerHandler('auto_chat', async (task) => {
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return await this.handleAutoChatTask(task);
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});
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// 自动活跃账号任务（待实现）
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taskQueue.registerHandler('auto_active_account', async (task) => {
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return await this.handleAutoActiveAccountTask(task);
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});
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}
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/**
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* 处理自动投递任务
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*/
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async handleAutoDeliverTask(task) {
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const { sn_code, taskParams } = task;
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const { keyword, platform, pageCount, maxCount } = taskParams;
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console.log(`[任务处理器] 自动投递任务 - 设备: ${sn_code}, 关键词: ${keyword}`);
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deviceManager.recordTaskStart(sn_code, task);
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const startTime = Date.now();
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try {
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const job_postings = db.getModel('job_postings');
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const pla_account = db.getModel('pla_account');
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const resume_info = db.getModel('resume_info');
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const job_types = db.getModel('job_types');
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// 1. 检查并获取在线简历（如果2小时内没有获取）
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const twoHoursAgo = new Date(Date.now() - 2 * 60 * 60 * 1000);
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let resume = await resume_info.findOne({
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where: {
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sn_code,
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platform: platform || 'boss',
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isActive: true
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},
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order: [['last_modify_time', 'DESC']]
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});
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const needRefreshResume = !resume ||
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!resume.last_modify_time ||
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new Date(resume.last_modify_time) < twoHoursAgo;
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if (needRefreshResume) {
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console.log(`[任务处理器] 简历超过2小时未更新，重新获取在线简历`);
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try {
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// 通过 command 系统获取在线简历，而不是直接调用 jobManager
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const getResumeCommand = {
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command_type: 'getOnlineResume',
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command_name: '获取在线简历',
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command_params: JSON.stringify({ sn_code, platform: platform || 'boss' }),
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priority: config.getTaskPriority('get_resume') || 5
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};
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await command.executeCommands(task.id, [getResumeCommand], this.mqttClient);
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// 重新查询简历
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resume = await resume_info.findOne({
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where: {
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sn_code,
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platform: platform || 'boss',
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isActive: true
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},
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order: [['last_modify_time', 'DESC']]
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});
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} catch (error) {
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console.warn(`[任务处理器] 获取在线简历失败，使用已有简历:`, error.message);
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}
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}
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if (!resume) {
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console.log(`[任务处理器] 未找到简历信息，无法进行自动投递`);
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return {
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success: false,
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deliveredCount: 0,
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message: '未找到简历信息'
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};
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}
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// 2. 获取账号配置和职位类型配置
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const account = await pla_account.findOne({
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where: { sn_code, platform_type: platform || 'boss' }
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});
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if (!account) {
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console.log(`[任务处理器] 未找到账号配置`);
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return {
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success: false,
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deliveredCount: 0,
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message: '未找到账号配置'
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};
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}
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const accountConfig = account.toJSON();
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const resumeInfo = resume.toJSON();
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// 获取职位类型配置
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let jobTypeConfig = null;
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if (accountConfig.job_type_id) {
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const jobType = await job_types.findByPk(accountConfig.job_type_id);
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if (jobType) {
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jobTypeConfig = jobType.toJSON();
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}
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}
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// 获取优先级权重配置
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let priorityWeights = accountConfig.is_salary_priority;
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if (!Array.isArray(priorityWeights) || priorityWeights.length === 0) {
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priorityWeights = [
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{ key: "distance", weight: 50 },
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{ key: "salary", weight: 20 },
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{ key: "work_years", weight: 10 },
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{ key: "education", weight: 20 }
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];
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}
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// 3. 先获取职位列表
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const getJobListCommand = {
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command_type: 'getJobList',
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command_name: '获取职位列表',
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command_params: JSON.stringify({
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sn_code: sn_code,
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keyword: keyword || accountConfig.keyword || '',
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platform: platform || 'boss',
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pageCount: pageCount || 3
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}),
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priority: config.getTaskPriority('search_jobs') || 5
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};
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await command.executeCommands(task.id, [getJobListCommand], this.mqttClient);
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// 4. 从数据库获取待投递的职位
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const pendingJobs = await job_postings.findAll({
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where: {
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sn_code: sn_code,
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platform: platform || 'boss',
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applyStatus: 'pending'
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},
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order: [['create_time', 'DESC']],
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limit: (maxCount || 10) * 3 // 获取更多职位用于筛选
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});
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if (!pendingJobs || pendingJobs.length === 0) {
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console.log(`[任务处理器] 没有待投递的职位`);
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return {
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success: true,
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deliveredCount: 0,
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message: '没有待投递的职位'
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};
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}
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// 5. 根据简历信息、职位类型配置和权重配置进行评分和过滤
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const scoredJobs = [];
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const excludeKeywords = jobTypeConfig && jobTypeConfig.excludeKeywords
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? (typeof jobTypeConfig.excludeKeywords === 'string'
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? JSON.parse(jobTypeConfig.excludeKeywords)
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: jobTypeConfig.excludeKeywords)
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: [];
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// 获取一个月内已投递的公司列表（用于过滤）
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const apply_records = db.getModel('apply_records');
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const Sequelize = require('sequelize');
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const oneMonthAgo = new Date();
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oneMonthAgo.setMonth(oneMonthAgo.getMonth() - 1);
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const recentApplies = await apply_records.findAll({
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where: {
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sn_code: sn_code,
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applyTime: {
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[Sequelize.Op.gte]: oneMonthAgo
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}
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},
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attributes: ['companyName'],
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group: ['companyName']
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});
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const recentCompanyNames = new Set(recentApplies.map(apply => apply.companyName).filter(Boolean));
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for (const job of pendingJobs) {
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const jobData = job.toJSON ? job.toJSON() : job;
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// 排除关键词过滤
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if (Array.isArray(excludeKeywords) && excludeKeywords.length > 0) {
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const jobText = `${jobData.jobTitle} ${jobData.companyName} ${jobData.jobDescription || ''}`.toLowerCase();
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const hasExcluded = excludeKeywords.some(kw => jobText.includes(kw.toLowerCase()));
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if (hasExcluded) {
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continue;
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}
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}
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// 检查该公司是否在一个月内已投递过
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if (jobData.companyName && recentCompanyNames.has(jobData.companyName)) {
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console.log(`[任务处理器] 跳过一个月内已投递的公司: ${jobData.companyName}`);
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continue;
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}
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// 使用 job_filter_service 计算评分
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const scoreResult = jobFilterService.calculateJobScoreWithWeights(
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jobData,
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resumeInfo,
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accountConfig,
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jobTypeConfig,
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priorityWeights
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);
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// 只保留总分 >= 60 的职位
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if (scoreResult.totalScore >= 60) {
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scoredJobs.push({
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...jobData,
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matchScore: scoreResult.totalScore,
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scoreDetails: scoreResult.scores
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});
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}
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}
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// 按总分降序排序
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scoredJobs.sort((a, b) => b.matchScore - a.matchScore);
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// 取前 maxCount 个职位
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const jobsToDeliver = scoredJobs.slice(0, maxCount || 10);
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console.log(`[任务处理器] 职位评分完成，共 ${pendingJobs.length} 个职位，评分后 ${scoredJobs.length} 个符合条件，将投递 ${jobsToDeliver.length} 个`);
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if (jobsToDeliver.length === 0) {
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return {
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success: true,
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deliveredCount: 0,
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message: '没有符合条件的职位'
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};
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}
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// 6. 为每个职位创建一条独立的投递指令
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const deliverCommands = [];
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for (const jobData of jobsToDeliver) {
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console.log(`[任务处理器] 准备投递职位: ${jobData.jobTitle} @ ${jobData.companyName}, 评分: ${jobData.matchScore}`, jobData.scoreDetails);
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deliverCommands.push({
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command_type: 'applyJob',
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command_name: `投递简历 - ${jobData.jobTitle} @ ${jobData.companyName} (评分:${jobData.matchScore})`,
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command_params: JSON.stringify({
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sn_code: sn_code,
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platform: platform || 'boss',
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jobId: jobData.jobId,
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encryptBossId: jobData.encryptBossId || '',
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securityId: jobData.securityId || '',
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brandName: jobData.companyName,
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jobTitle: jobData.jobTitle,
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companyName: jobData.companyName,
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matchScore: jobData.matchScore,
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scoreDetails: jobData.scoreDetails
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}),
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priority: config.getTaskPriority('apply') || 6
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});
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}
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// 7. 执行所有投递指令
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const result = await command.executeCommands(task.id, deliverCommands, this.mqttClient);
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const duration = Date.now() - startTime;
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deviceManager.recordTaskComplete(sn_code, task, true, duration);
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console.log(`[任务处理器] 自动投递任务完成 - 设备: ${sn_code}, 创建了 ${deliverCommands.length} 条投递指令, 耗时: ${duration}ms`);
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return result;
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} catch (error) {
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const duration = Date.now() - startTime;
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deviceManager.recordTaskComplete(sn_code, task, false, duration);
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console.error(`[任务处理器] 自动投递任务失败 - 设备: ${sn_code}:`, error);
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throw error;
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}
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}
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/**
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* 处理自动沟通任务（待实现）
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* 功能：自动与HR进行沟通，回复消息等
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*/
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async handleAutoChatTask(task) {
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const { sn_code, taskParams } = task;
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console.log(`[任务处理器] 自动沟通任务 - 设备: ${sn_code}`);
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deviceManager.recordTaskStart(sn_code, task);
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const startTime = Date.now();
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try {
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// TODO: 实现自动沟通逻辑
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// 1. 获取待回复的聊天列表
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// 2. 根据消息内容生成回复
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// 3. 发送回复消息
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// 4. 记录沟通结果
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console.log(`[任务处理器] 自动沟通任务 - 逻辑待实现`);
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const duration = Date.now() - startTime;
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deviceManager.recordTaskComplete(sn_code, task, true, duration);
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return {
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success: true,
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message: '自动沟通任务框架已就绪，逻辑待实现',
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chatCount: 0
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};
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} catch (error) {
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const duration = Date.now() - startTime;
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deviceManager.recordTaskComplete(sn_code, task, false, duration);
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throw error;
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}
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}
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/**
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* 处理自动活跃账号任务（待实现）
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* 功能：自动执行一些操作来保持账号活跃度，如浏览职位、搜索等
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*/
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async handleAutoActiveAccountTask(task) {
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const { sn_code, taskParams } = task;
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console.log(`[任务处理器] 自动活跃账号任务 - 设备: ${sn_code}`);
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deviceManager.recordTaskStart(sn_code, task);
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const startTime = Date.now();
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try {
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// TODO: 实现自动活跃账号逻辑
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// 1. 随机搜索一些职位
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// 2. 浏览职位详情
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// 3. 查看公司信息
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// 4. 执行一些模拟用户行为
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console.log(`[任务处理器] 自动活跃账号任务 - 逻辑待实现`);
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const duration = Date.now() - startTime;
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deviceManager.recordTaskComplete(sn_code, task, true, duration);
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return {
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success: true,
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message: '自动活跃账号任务框架已就绪，逻辑待实现',
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actionCount: 0
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};
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} catch (error) {
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const duration = Date.now() - startTime;
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deviceManager.recordTaskComplete(sn_code, task, false, duration);
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throw error;
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}
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}
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}
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module.exports = TaskHandlers;
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