876 lines
32 KiB
JavaScript
876 lines
32 KiB
JavaScript
// const aiService = require('./aiService'); // 二期规划：AI 服务暂时禁用
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const jobFilterService = require('./job_filter_service'); // 使用文本匹配过滤服务
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const locationService = require('../../services/locationService'); // 位置服务
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const logs = require('../logProxy');
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const db = require('../dbProxy');
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const { v4: uuidv4 } = require('uuid');
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/**
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* 工作管理模块
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* 负责简历获取、分析、存储和匹配度计算
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*/
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class JobManager {
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constructor() {
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}
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// 启动客户端那个平台 用户信息，心跳机制
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async set_user_info(sn_code, mqttClient, user_info) {
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const response = await mqttClient.publishAndWait(sn_code, {
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platform: platform,
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action: 'set_user_info',
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data: {
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user_info: user_info
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}
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});
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}
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/**
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* 获取登录二维码
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* @param {string} sn_code - 设备SN码
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* @param {object} mqttClient - MQTT客户端
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* @param {object} params - 参数对象
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* @returns {Promise<object>} 二维码信息
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*/
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async get_login_qr_code(sn_code, mqttClient, params = {}) {
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console.log(`[工作管理] 开始获取设备 ${sn_code} 的登录二维码`);
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const { platform = 'boss' } = params;
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// 通过MQTT指令获取登录二维码
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const response = await mqttClient.publishAndWait(sn_code, {
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platform: platform,
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action: 'get_login_qr_code',
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data: {}
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});
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if (!response || response.code !== 200) {
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console.error(`[工作管理] 获取登录二维码失败:`, response);
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throw new Error(response?.message || '获取登录二维码失败');
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}
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const qrCodeData = response.data;
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console.log(`[工作管理] 成功获取登录二维码数据:`, qrCodeData);
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return qrCodeData;
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}
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/**
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* 打开机器人检测测试页
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* @param {string} sn_code - 设备SN码
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* @param {object} mqttClient - MQTT客户端
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* @param {object} params - 参数对象
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* @returns {Promise<object>} 执行结果
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*/
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async open_bot_detection(sn_code, mqttClient, params = {}) {
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console.log(`[工作管理] 开始打开设备 ${sn_code} 的机器人检测测试页`);
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const { platform = 'boss' } = params;
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// 通过MQTT指令打开机器人检测测试页
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const response = await mqttClient.publishAndWait(sn_code, {
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platform: platform,
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action: 'open_bot_detection',
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data: {}
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});
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if (!response || response.code !== 200) {
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console.error(`[工作管理] 打开机器人检测测试页失败:`, response);
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throw new Error(response?.message || '打开机器人检测测试页失败');
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}
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const result = response.data;
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console.log(`[工作管理] 成功打开机器人检测测试页:`, result);
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return result;
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}
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/**
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* 获取用户信息
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* @param {string} sn_code - 设备SN码
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* @param {object} mqttClient - MQTT客户端
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* @param {object} params - 参数对象
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* @returns {Promise<object>} 用户信息
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*/
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async get_user_info(sn_code, mqttClient, params = {}) {
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console.log(`[工作管理] 开始获取设备 ${sn_code} 的用户信息`);
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const { platform = 'boss' } = params;
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// 通过MQTT指令获取用户信息
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const response = await mqttClient.publishAndWait(sn_code, {
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platform: platform,
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action: 'get_user_info',
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data: {}
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});
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if (!response || response.code !== 200) {
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console.error(`[工作管理] 获取用户信息失败:`, response);
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throw new Error(response?.message || '获取用户信息失败');
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}
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const userInfo = response.data;
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console.log(`[工作管理] 成功获取用户信息:`, userInfo);
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return userInfo;
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}
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/**
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* 搜索岗位
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* @param {string} sn_code - 设备SN码
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* @param {object} mqttClient - MQTT客户端
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* @param {object} params - 参数
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* @returns {Promise<object>} 搜索结果
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*/
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async search_jobs(sn_code, mqttClient, params = {}) {
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const { keyword = '前端', platform = 'boss' } = params;
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console.log(`[工作管理] 开始搜索设备 ${sn_code} 的岗位，关键词: ${keyword}`);
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// 通过MQTT指令搜索岗位
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const response = await mqttClient.publishAndWait(sn_code, {
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platform,
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action: "search_jobs",
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data: { keyword }
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});
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if (!response || response.code !== 200) {
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console.error(`[工作管理] 搜索岗位失败:`, response);
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throw new Error('搜索岗位失败');
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}
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console.log(`[工作管理] 成功搜索岗位`);
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return response.data;
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}
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/**
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* 获取岗位列表
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* @param {string} sn_code - 设备SN码
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* @param {object} mqttClient - MQTT客户端
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* @param {object} params - 参数
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* @returns {Promise<object>} 岗位列表
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*/
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async get_job_list(sn_code, mqttClient, params = {}) {
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const { keyword = '前端', platform = 'boss', pageCount = 3 } = params;
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console.log(`[工作管理] 开始获取设备 ${sn_code} 的岗位列表，关键词: ${keyword}`);
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// 通过MQTT指令获取岗位列表
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const response = await mqttClient.publishAndWait(sn_code, {
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platform,
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action: "get_job_list",
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data: { keyword, pageCount }
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});
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if (!response || response.code !== 200) {
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console.error(`[工作管理] 获取岗位列表失败:`, response);
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throw new Error('获取岗位列表失败');
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}
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// 处理职位列表数据：response.data 可能是数组（职位列表.json 格式）或单个对象
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let jobs = [];
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if (Array.isArray(response.data)) {
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// 如果是数组格式（职位列表.json），遍历每个元素提取岗位数据
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for (const item of response.data) {
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if (item.data?.zpData?.jobList && Array.isArray(item.data.zpData.jobList)) {
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jobs = jobs.concat(item.data.zpData.jobList);
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}
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}
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console.log(`[工作管理] 从 ${response.data.length} 个响应中提取岗位数据`);
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} else if (response.data?.data?.zpData?.jobList) {
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// 如果是单个对象格式，从 data.zpData.jobList 获取
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jobs = response.data.data.zpData.jobList || [];
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} else if (response.data?.zpData?.jobList) {
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// 兼容旧格式：直接从 zpData.jobList 获取
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jobs = response.data.zpData.jobList || [];
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}
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console.log(`[工作管理] 成功获取岗位数据，共 ${jobs.length} 个岗位`);
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// 保存职位到数据库
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try {
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await this.saveJobsToDatabase(sn_code, platform, keyword, jobs);
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} catch (error) {
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console.error(`[工作管理] 保存职位到数据库失败:`, error);
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// 不影响主流程，继续返回数据
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}
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const result = {
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jobs: jobs,
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keyword: keyword,
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platform: platform,
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count: jobs.length
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};
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return result;
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}
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/**
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* 保存职位列表到数据库
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* @param {string} sn_code - 设备SN码
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* @param {string} platform - 平台
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* @param {string} keyword - 搜索关键词
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* @param {Array} jobs - 职位列表
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*/
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async saveJobsToDatabase(sn_code, platform, keyword, jobs) {
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const job_postings = db.getModel('job_postings');
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console.log(`[工作管理] 开始保存 ${jobs.length} 个职位到数据库`);
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for (const job of jobs) {
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try {
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// 构建职位信息对象
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const jobInfo = {
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sn_code,
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platform,
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keyword,
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// Boss直聘字段映射
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encryptBossId: job.encryptBossId || '',
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jobId: job.encryptJobId || '',
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jobTitle: job.jobName || '',
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companyId: job.encryptBrandId || '',
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companyName: job.brandName || '',
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companySize: job.brandScaleName || '',
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companyIndustry: job.brandIndustry || '',
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salary: job.salaryDesc || '',
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// 岗位要求（从 jobLabels 和 skills 提取）
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jobRequirements: JSON.stringify({
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experience: job.jobExperience || '',
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education: job.jobDegree || '',
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labels: job.jobLabels || [],
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skills: job.skills || []
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}),
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// 工作地点
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location: [job.cityName, job.areaDistrict, job.businessDistrict]
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.filter(Boolean).join(' '),
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experience: job.jobExperience || '',
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education: job.jobDegree || '',
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// 原始数据
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originalData: JSON.stringify(job),
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// 默认状态
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applyStatus: 'pending',
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chatStatus: 'none'
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};
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// 调用位置服务解析 location + companyName 获取坐标
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if (jobInfo.location && jobInfo.companyName) {
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const addressToParse = `${jobInfo.location.replaceAll(' ', '')}${jobInfo.companyName}`;
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// 等待 1秒
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await new Promise(resolve => setTimeout(resolve, 1000));
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const location = await locationService.getLocationByAddress(addressToParse).catch(error => {
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console.error(`[工作管理] 获取位置失败:`, error);
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});
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if (location) {
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jobInfo.latitude = String(location.lat);
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jobInfo.longitude = String(location.lng);
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}
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}
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// 检查是否已存在（根据 jobId 和 sn_code）
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const existingJob = await job_postings.findOne({
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where: {
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jobId: jobInfo.jobId,
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sn_code: sn_code
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}
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});
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if (existingJob) {
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// 更新现有职位
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await job_postings.update(jobInfo, {
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where: {
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jobId: jobInfo.jobId,
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sn_code: sn_code
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}
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});
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console.log(`[工作管理] 职位已更新 - ${jobInfo.jobTitle} @ ${jobInfo.companyName}`);
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} else {
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// 创建新职位
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await job_postings.create(jobInfo);
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console.log(`[工作管理] 职位已创建 - ${jobInfo.jobTitle} @ ${jobInfo.companyName}`);
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}
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} catch (error) {
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console.error(`[工作管理] 保存职位失败:`, error, job);
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// 继续处理下一个职位
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}
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}
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console.log(`[工作管理] 职位保存完成`);
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}
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/**
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* 投递简历（单个职位）
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* @param {string} sn_code - 设备SN码
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* @param {object} mqttClient - MQTT客户端
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* @param {object} params - 参数
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* @param {string} params.jobId - 职位ID（必需）
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* @param {string} params.platform - 平台（默认boss）
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* @param {string} params.encryptBossId - 加密的Boss ID（可选）
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* @param {string} params.securityId - 安全ID（可选）
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* @param {string} params.brandName - 公司名称（可选）
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* @param {string} params.jobTitle - 职位标题（可选）
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* @param {string} params.companyName - 公司名称（可选）
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* @returns {Promise<object>} 投递结果
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*/
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async applyJob(sn_code, mqttClient, params = {}) {
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const { platform = 'boss', jobId, encryptBossId, securityId, brandName, jobTitle, companyName } = params;
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if (!jobId) {
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throw new Error('jobId 参数不能为空，请指定要投递的职位ID');
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}
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console.log(`[工作管理] 开始投递单个职位，设备: ${sn_code}, 职位: ${jobTitle || jobId}`);
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const job_postings = db.getModel('job_postings');
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const apply_records = db.getModel('apply_records');
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try {
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// 从数据库获取职位信息
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const where = { sn_code, jobId, platform };
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if (encryptBossId) where.encryptBossId = encryptBossId;
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const job = await job_postings.findOne({ where });
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if (!job) {
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throw new Error(`未找到职位记录: ${jobId}`);
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}
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const jobData = job.toJSON();
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// 检查是否已存在投递记录（避免重复投递同一职位）
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const existingApply = await apply_records.findOne({ where: { sn_code, jobId: jobData.jobId } });
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if (existingApply) {
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console.log(`[工作管理] 跳过已投递职位: ${jobData.jobTitle} @ ${jobData.companyName}`);
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return {
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success: false,
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deliveredCount: 0,
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failedCount: 1,
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message: '该岗位已投递过',
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deliveredJobs: [],
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failedJobs: [{
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jobId: jobData.jobId,
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jobTitle: jobData.jobTitle,
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companyName: jobData.companyName,
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error: '该岗位已投递过'
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}]
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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（避免连续投递同一公司）
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const oneMonthAgo = new Date();
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oneMonthAgo.setMonth(oneMonthAgo.getMonth() - 1);
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const Sequelize = require('sequelize');
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const recentCompanyApply = await apply_records.findOne({
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where: {
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sn_code: sn_code,
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companyName: jobData.companyName,
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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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order: [['applyTime', 'DESC']]
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});
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if (recentCompanyApply) {
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const daysAgo = Math.floor((new Date() - new Date(recentCompanyApply.applyTime)) / (1000 * 60 * 60 * 24));
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console.log(`[工作管理] 跳过一个月内已投递的公司: ${jobData.companyName} (${daysAgo}天前投递过)`);
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return {
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success: false,
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deliveredCount: 0,
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failedCount: 1,
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message: `该公司在${daysAgo}天前已投递过，一个月内不重复投递`,
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deliveredJobs: [],
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failedJobs: [{
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jobId: jobData.jobId,
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jobTitle: jobData.jobTitle,
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companyName: jobData.companyName,
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error: `该公司在${daysAgo}天前已投递过，一个月内不重复投递`
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}]
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};
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}
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console.log(`[工作管理] 投递职位: ${jobData.jobTitle} @ ${jobData.companyName}`);
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// 通过MQTT指令投递简历
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const response = await mqttClient.publishAndWait(sn_code, {
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platform,
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action: "deliver_resume",
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data: {
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encryptJobId: jobData.jobId,
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securityId: jobData.securityId || securityId || '',
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brandName: jobData.companyName || brandName || ''
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}
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});
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if (response && response.code === 200) {
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// 投递成功
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await job_postings.update(
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{ applyStatus: 'applied', applyTime: new Date() },
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{ where: { id: jobData.id } }
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);
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// 计算距离和获取评分信息
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let distance = null;
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let locationScore = jobData.scoreDetails?.locationScore || 0;
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try {
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// 获取账号的经纬度
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const pla_account = db.getModel('pla_account');
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const account = await pla_account.findOne({
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where: { sn_code, platform_type: platform }
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});
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// 如果账号和职位都有经纬度，计算实际距离
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if (account && account.user_latitude && account.user_longitude &&
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jobData.latitude && jobData.longitude) {
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const userLat = parseFloat(account.user_latitude);
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const userLng = parseFloat(account.user_longitude);
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const jobLat = parseFloat(jobData.latitude);
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const jobLng = parseFloat(jobData.longitude);
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if (!isNaN(userLat) && !isNaN(userLng) && !isNaN(jobLat) && !isNaN(jobLng)) {
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distance = locationService.calculateDistance(userLat, userLng, jobLat, jobLng);
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console.log(`[工作管理] 计算距离: ${distance} 公里`);
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}
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}
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} catch (error) {
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console.warn(`[工作管理] 计算距离失败:`, error.message);
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// 距离计算失败不影响投递记录保存
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}
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await apply_records.create({
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||
sn_code: sn_code,
|
||
platform: platform,
|
||
jobId: jobData.jobId,
|
||
encryptBossId: jobData.encryptBossId || '',
|
||
jobTitle: jobData.jobTitle,
|
||
companyName: jobData.companyName,
|
||
companyId: jobData.companyId || '',
|
||
salary: jobData.salary || '',
|
||
location: jobData.location || '',
|
||
resumeId: jobData.resumeId || '',
|
||
resumeName: jobData.resumeName || '',
|
||
matchScore: jobData.matchScore || jobData.scoreDetails?.totalScore || 0,
|
||
isOutsourcing: jobData.isOutsourcing || false,
|
||
priority: jobData.priority || 5,
|
||
isAutoApply: true,
|
||
applyStatus: 'success',
|
||
applyTime: new Date(),
|
||
feedbackStatus: 'none',
|
||
taskId: jobData.taskId || '',
|
||
keyword: jobData.keyword || '',
|
||
originalData: JSON.stringify({
|
||
...(response.data || {}),
|
||
scoreDetails: {
|
||
...(jobData.scoreDetails || {}),
|
||
locationScore: locationScore,
|
||
distance: distance // 实际距离（公里）
|
||
}
|
||
})
|
||
});
|
||
|
||
console.log(`[工作管理] 投递成功: ${jobData.jobTitle}`);
|
||
|
||
return {
|
||
success: true,
|
||
deliveredCount: 1,
|
||
failedCount: 0,
|
||
deliveredJobs: [{
|
||
jobId: jobData.jobId,
|
||
jobTitle: jobData.jobTitle,
|
||
companyName: jobData.companyName
|
||
}],
|
||
failedJobs: []
|
||
};
|
||
} else {
|
||
// 投递失败
|
||
await job_postings.update(
|
||
{ applyStatus: 'failed' },
|
||
{ where: { id: jobData.id } }
|
||
);
|
||
|
||
|
||
await apply_records.create({
|
||
sn_code: sn_code,
|
||
platform: platform,
|
||
jobId: jobData.jobId,
|
||
encryptBossId: jobData.encryptBossId || '',
|
||
jobTitle: jobData.jobTitle,
|
||
companyName: jobData.companyName,
|
||
companyId: jobData.companyId || '',
|
||
salary: jobData.salary || '',
|
||
location: jobData.location || '',
|
||
resumeId: jobData.resumeId || '',
|
||
resumeName: jobData.resumeName || '',
|
||
matchScore: jobData.matchScore || 0,
|
||
isOutsourcing: jobData.isOutsourcing || false,
|
||
priority: jobData.priority || 5,
|
||
isAutoApply: true,
|
||
applyStatus: 'failed',
|
||
applyTime: new Date(),
|
||
feedbackStatus: 'none',
|
||
taskId: jobData.taskId || '',
|
||
keyword: jobData.keyword || '',
|
||
errorMessage: response?.message || '投递失败',
|
||
originalData: JSON.stringify(response || {})
|
||
});
|
||
|
||
throw new Error(response?.message || '投递失败');
|
||
}
|
||
} catch (error) {
|
||
console.error(`[工作管理] 投递异常: ${jobTitle || jobId}`, error);
|
||
throw error;
|
||
}
|
||
}
|
||
|
||
/**
|
||
* 根据规则过滤职位并评分
|
||
* 评分规则：距离30% + 关键字10% + 薪资20% + 公司规模20% = 总分
|
||
* 只有总分 >= 60 的职位才会被投递
|
||
* @param {Array} jobs - 职位列表
|
||
* @param {Object} filterRules - 过滤规则（包含账号配置和简历信息）
|
||
* @returns {Promise<Array>} 过滤并评分后的职位列表（按总分降序排序）
|
||
*/
|
||
async filter_jobs_by_rules(jobs, filterRules) {
|
||
const {
|
||
minSalary = 0,
|
||
maxSalary = 0,
|
||
keywords = [],
|
||
excludeKeywords = [],
|
||
accountConfig = {}, // 账号配置
|
||
resumeInfo = {} // 简历信息
|
||
} = filterRules;
|
||
|
||
// 关键词从职位类型配置中获取，不再从账号配置中获取
|
||
let filterKeywords = keywords || [];
|
||
let excludeKeywordsList = excludeKeywords || [];
|
||
|
||
// 使用账号配置的薪资范围
|
||
const accountMinSalary = accountConfig.min_salary || minSalary || 0;
|
||
const accountMaxSalary = accountConfig.max_salary || maxSalary || 0;
|
||
|
||
// 对每个职位进行评分
|
||
const scoredJobs = jobs.map(job => {
|
||
const jobData = job.toJSON ? job.toJSON() : job;
|
||
|
||
// 1. 距离分数（30%）
|
||
const locationScore = this.calculate_location_score(
|
||
jobData.location,
|
||
resumeInfo.expectedLocation
|
||
);
|
||
|
||
// 2. 关键字分数（10%）
|
||
const keywordScore = this.calculate_keyword_score(
|
||
jobData,
|
||
filterKeywords
|
||
);
|
||
|
||
// 3. 薪资分数（20%）
|
||
const salaryScore = this.calculate_salary_score(
|
||
jobData.salary,
|
||
resumeInfo.expectedSalary,
|
||
accountMinSalary,
|
||
accountMaxSalary
|
||
);
|
||
|
||
// 4. 公司规模分数（20%）
|
||
const companySizeScore = this.calculate_company_size_score(
|
||
jobData.companySize
|
||
);
|
||
|
||
// 计算总分（累加）
|
||
const totalScore = Math.round(
|
||
locationScore * 0.3 +
|
||
keywordScore * 0.1 +
|
||
salaryScore * 0.2 +
|
||
companySizeScore * 0.2
|
||
);
|
||
|
||
return {
|
||
...jobData,
|
||
matchScore: totalScore,
|
||
scoreDetails: {
|
||
locationScore,
|
||
keywordScore,
|
||
salaryScore,
|
||
companySizeScore,
|
||
totalScore
|
||
}
|
||
};
|
||
});
|
||
|
||
// 过滤：排除关键词、最低分数、按总分排序
|
||
return scoredJobs
|
||
.filter(job => {
|
||
// 1. 排除关键词过滤
|
||
if (excludeKeywordsList && excludeKeywordsList.length > 0) {
|
||
const jobText = `${job.jobTitle} ${job.companyName} ${job.jobDescription || ''}`.toLowerCase();
|
||
const hasExcluded = excludeKeywordsList.some(kw => jobText.includes(kw.toLowerCase()));
|
||
if (hasExcluded) {
|
||
return false;
|
||
}
|
||
}
|
||
|
||
// 2. 最低分数过滤（总分 >= 60 才投递）
|
||
if (job.matchScore < 60) {
|
||
return false;
|
||
}
|
||
|
||
return true;
|
||
})
|
||
.sort((a, b) => b.matchScore - a.matchScore); // 按总分降序排序
|
||
}
|
||
|
||
/**
|
||
* 计算距离分数（0-100分）
|
||
* @param {string} jobLocation - 职位工作地点
|
||
* @param {string} expectedLocation - 期望工作地点
|
||
* @returns {number} 距离分数
|
||
*/
|
||
calculate_location_score(jobLocation, expectedLocation) {
|
||
if (!jobLocation) return 50; // 没有地点信息，给中等分数
|
||
if (!expectedLocation) return 70; // 没有期望地点，给较高分数
|
||
|
||
const jobLoc = jobLocation.toLowerCase().trim();
|
||
const expectedLoc = expectedLocation.toLowerCase().trim();
|
||
|
||
// 完全匹配
|
||
if (jobLoc === expectedLoc) {
|
||
return 100;
|
||
}
|
||
|
||
// 包含匹配（如：期望"北京"，职位"北京朝阳区"）
|
||
if (jobLoc.includes(expectedLoc) || expectedLoc.includes(jobLoc)) {
|
||
return 90;
|
||
}
|
||
|
||
// 城市匹配（提取城市名）
|
||
const jobCity = this.extract_city(jobLoc);
|
||
const expectedCity = this.extract_city(expectedLoc);
|
||
if (jobCity && expectedCity && jobCity === expectedCity) {
|
||
return 80;
|
||
}
|
||
|
||
// 部分匹配（如：都包含"北京"）
|
||
if (jobLoc.includes('北京') && expectedLoc.includes('北京')) {
|
||
return 70;
|
||
}
|
||
if (jobLoc.includes('上海') && expectedLoc.includes('上海')) {
|
||
return 70;
|
||
}
|
||
if (jobLoc.includes('深圳') && expectedLoc.includes('深圳')) {
|
||
return 70;
|
||
}
|
||
if (jobLoc.includes('广州') && expectedLoc.includes('广州')) {
|
||
return 70;
|
||
}
|
||
|
||
// 不匹配
|
||
return 30;
|
||
}
|
||
|
||
/**
|
||
* 提取城市名
|
||
* @param {string} location - 地点字符串
|
||
* @returns {string|null} 城市名
|
||
*/
|
||
extract_city(location) {
|
||
const cities = ['北京', '上海', '深圳', '广州', '杭州', '成都', '南京', '武汉', '西安', '苏州'];
|
||
for (const city of cities) {
|
||
if (location.includes(city)) {
|
||
return city;
|
||
}
|
||
}
|
||
return null;
|
||
}
|
||
|
||
/**
|
||
* 计算关键字分数（0-100分）
|
||
* @param {object} jobData - 职位数据
|
||
* @param {Array} filterKeywords - 过滤关键词列表
|
||
* @returns {number} 关键字分数
|
||
*/
|
||
calculate_keyword_score(jobData, filterKeywords) {
|
||
if (!filterKeywords || filterKeywords.length === 0) {
|
||
return 70; // 没有关键词要求，给较高分数
|
||
}
|
||
|
||
const jobText = `${jobData.jobTitle} ${jobData.companyName} ${jobData.jobDescription || ''} ${jobData.keyword || ''}`.toLowerCase();
|
||
|
||
// 计算匹配的关键词数量
|
||
let matchedCount = 0;
|
||
filterKeywords.forEach(kw => {
|
||
if (jobText.includes(kw.toLowerCase())) {
|
||
matchedCount++;
|
||
}
|
||
});
|
||
|
||
// 计算匹配度百分比
|
||
const matchRate = matchedCount / filterKeywords.length;
|
||
return Math.round(matchRate * 100);
|
||
}
|
||
|
||
/**
|
||
* 计算薪资分数（0-100分）
|
||
* @param {string} jobSalary - 职位薪资
|
||
* @param {string} expectedSalary - 期望薪资
|
||
* @param {number} accountMinSalary - 账号配置最低薪资
|
||
* @param {number} accountMaxSalary - 账号配置最高薪资
|
||
* @returns {number} 薪资分数
|
||
*/
|
||
calculate_salary_score(jobSalary, expectedSalary, accountMinSalary, accountMaxSalary) {
|
||
if (!jobSalary) return 50; // 没有薪资信息，给中等分数
|
||
|
||
const salaryRange = this.parse_salary_range(jobSalary);
|
||
if (!salaryRange || salaryRange.min === 0) return 50;
|
||
|
||
const avgJobSalary = (salaryRange.min + salaryRange.max) / 2;
|
||
|
||
// 优先使用账号配置的薪资范围
|
||
if (accountMinSalary > 0 || accountMaxSalary > 0) {
|
||
if (accountMinSalary > 0 && salaryRange.max < accountMinSalary) {
|
||
return 20; // 职位最高薪资低于账号最低要求
|
||
}
|
||
if (accountMaxSalary > 0 && salaryRange.min > accountMaxSalary) {
|
||
return 20; // 职位最低薪资高于账号最高要求
|
||
}
|
||
// 在范围内，根据薪资水平给分
|
||
if (avgJobSalary >= accountMinSalary && (accountMaxSalary === 0 || avgJobSalary <= accountMaxSalary)) {
|
||
return 100; // 完全符合要求
|
||
}
|
||
}
|
||
|
||
// 如果有期望薪资，与期望薪资比较
|
||
if (expectedSalary) {
|
||
const expected = this.parse_expected_salary(expectedSalary);
|
||
if (expected) {
|
||
const ratio = expected / avgJobSalary;
|
||
if (ratio <= 0.8) {
|
||
return 100; // 期望薪资低于职位薪资，完全匹配
|
||
} else if (ratio <= 1.0) {
|
||
return 90; // 期望薪资略低于或等于职位薪资
|
||
} else if (ratio <= 1.2) {
|
||
return 70; // 期望薪资略高于职位薪资
|
||
} else {
|
||
return 50; // 期望薪资明显高于职位薪资
|
||
}
|
||
}
|
||
}
|
||
|
||
// 没有期望薪资和账号配置，给中等分数
|
||
return 60;
|
||
}
|
||
|
||
/**
|
||
* 解析期望薪资
|
||
* @param {string} expectedSalary - 期望薪资描述
|
||
* @returns {number|null} 期望薪资数值（元）
|
||
*/
|
||
parse_expected_salary(expectedSalary) {
|
||
if (!expectedSalary) return null;
|
||
|
||
// 匹配数字+K格式（如：20K）
|
||
const match = expectedSalary.match(/(\d+)[kK千]/);
|
||
if (match) {
|
||
return parseInt(match[1]) * 1000;
|
||
}
|
||
|
||
// 匹配纯数字（如：20000）
|
||
const numMatch = expectedSalary.match(/(\d+)/);
|
||
if (numMatch) {
|
||
return parseInt(numMatch[1]);
|
||
}
|
||
|
||
return null;
|
||
}
|
||
|
||
/**
|
||
* 计算公司规模分数（0-100分）
|
||
* @param {string} companySize - 公司规模
|
||
* @returns {number} 公司规模分数
|
||
*/
|
||
calculate_company_size_score(companySize) {
|
||
if (!companySize) return 60; // 没有规模信息，给中等分数
|
||
|
||
const size = companySize.toLowerCase();
|
||
|
||
// 大型公司（1000人以上）给高分
|
||
if (size.includes('1000') || size.includes('1000+') || size.includes('1000人以上')) {
|
||
return 100;
|
||
}
|
||
if (size.includes('500-1000') || size.includes('500人以上')) {
|
||
return 90;
|
||
}
|
||
|
||
// 中型公司（100-500人）给中高分
|
||
if (size.includes('100-500') || size.includes('100人以上')) {
|
||
return 80;
|
||
}
|
||
if (size.includes('50-100')) {
|
||
return 70;
|
||
}
|
||
|
||
// 小型公司（50人以下）给中低分
|
||
if (size.includes('20-50') || size.includes('20人以上')) {
|
||
return 60;
|
||
}
|
||
if (size.includes('0-20') || size.includes('20人以下')) {
|
||
return 50;
|
||
}
|
||
|
||
// 默认中等分数
|
||
return 60;
|
||
}
|
||
|
||
/**
|
||
* 解析薪资范围
|
||
* @param {string} salaryDesc - 薪资描述（如 "15-25K·14薪"）
|
||
* @returns {object} 薪资范围 { min, max }
|
||
*/
|
||
parse_salary_range(salaryDesc) {
|
||
if (!salaryDesc) return { min: 0, max: 0 };
|
||
|
||
// 匹配常见格式：15-25K, 15K-25K, 15-25k·14薪
|
||
const match = salaryDesc.match(/(\d+)[-~](\d+)[kK]/);
|
||
if (match) {
|
||
return {
|
||
min: parseInt(match[1]) * 1000,
|
||
max: parseInt(match[2]) * 1000
|
||
};
|
||
}
|
||
|
||
// 匹配单个数值：25K
|
||
const singleMatch = salaryDesc.match(/(\d+)[kK]/);
|
||
if (singleMatch) {
|
||
const value = parseInt(singleMatch[1]) * 1000;
|
||
return { min: value, max: value };
|
||
}
|
||
|
||
return { min: 0, max: 0 };
|
||
}
|
||
|
||
/**
|
||
* 延迟函数
|
||
* @param {number} ms - 毫秒数
|
||
* @returns {Promise<void>}
|
||
*/
|
||
sleep(ms) {
|
||
return new Promise(resolve => setTimeout(resolve, ms));
|
||
}
|
||
|
||
|
||
|
||
|
||
}
|
||
|
||
module.exports = new JobManager();
|