555 lines
21 KiB
JavaScript
555 lines
21 KiB
JavaScript
const aiService = require('./aiService');
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const jobFilterService = require('./job_filter_service');
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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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* 简历管理模块
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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 ResumeManager {
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constructor() {
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}
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/**
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* 获取用户在线简历
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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>} 简历信息
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*/
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async get_online_resume(sn_code, mqttClient, params = {}) {
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console.log(`[简历管理] 开始获取设备 ${sn_code} 的在线简历`);
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const { platform = 'boss' } = params;
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// 通过MQTT指令获取简历信息
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const response = await mqttClient.publishAndWait(sn_code, {
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platform: platform,
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action: 'get_online_resume',
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data: {}
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});
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if (!response || response.code !== 200) {
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console.error(`[简历管理] 获取简历失败:`, response);
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throw new Error(response?.message || '获取简历失败');
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}
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const resumeData = response.data;
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console.log(`[简历管理] 成功获取简历数据:`, resumeData);
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// 存储用户在线简历数据到数据库
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try {
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await this.save_resume_to_database(sn_code, platform, resumeData);
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console.log(`[简历管理] 简历数据已保存到数据库`);
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} catch (error) {
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console.error(`[简历管理] 保存简历数据失败:`, error);
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// 不抛出错误，继续返回数据
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}
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return resumeData;
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}
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/**
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* 保存简历数据到数据库
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* @param {string} sn_code - 设备SN码
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* @param {string} platform - 平台名称
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* @param {object} resumeData - 简历数据
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* @returns {Promise<object>} 保存结果
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*/
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async save_resume_to_database(sn_code, platform, resumeData) {
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const resume_info = db.getModel('resume_info');
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const pla_account = db.getModel('pla_account');
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// 通过 sn_code 查询对应的 pla_account 获取 account_id
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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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if (!account) {
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throw new Error(`未找到设备 ${sn_code} 在平台 ${platform} 的账户信息`);
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}
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// 确保 account_id 是字符串类型（模型定义为 STRING(50)）
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const account_id = String(account.id || ''); // pla_account 的自增ID，转换为字符串
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// 提取基本信息
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const baseInfo = resumeData.baseInfo || {};
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const expectList = resumeData.expectList || [];
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const workExpList = resumeData.workExpList || [];
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const projectExpList = resumeData.projectExpList || [];
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const educationExpList = resumeData.educationExpList || [];
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const userDesc = resumeData.userDesc || '';
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// 查找是否已存在简历
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const existingResume = await resume_info.findOne({
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where: { sn_code, platform, isActive: true }
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});
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// 如果已存在简历，使用数据库中的 resumeId（可能是字符串或数字）
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// 如果不存在，生成新的 UUID 字符串
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const resumeId = existingResume ? String(existingResume.resumeId || existingResume.id || uuidv4()) : uuidv4();
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// 提取技能标签（从个人优势中提取）
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const skills = this.extract_skills_from_desc(userDesc);
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// 获取期望信息
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const expectInfo = expectList[0] || {};
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// 获取最新工作经验
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const latestWork = workExpList[0] || {};
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// 获取最高学历
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const highestEdu = educationExpList[0] || {};
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// 构建简历信息对象
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const resumeInfo = {
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sn_code,
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account_id, // 使用 pla_account 的自增ID
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platform,
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resumeId: resumeId,
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// 个人信息
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fullName: String(baseInfo.name || ''),
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gender: baseInfo.gender === 1 ? '男' : baseInfo.gender === 0 ? '女' : '',
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age: parseInt(String(baseInfo.age || 0), 10) || 0, // 确保是整数
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phone: String(baseInfo.account || ''),
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email: String(baseInfo.emailBlur || ''),
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location: String(expectInfo.locationName || ''),
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// 教育背景
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education: String(highestEdu.degreeName || baseInfo.degreeCategory || ''),
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major: String(highestEdu.major || ''),
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school: String(highestEdu.school || ''),
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graduationYear: parseInt(String(highestEdu.endYear || 0), 10) || 0, // 确保是整数
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// 工作经验
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workYears: baseInfo.workYearDesc || `${baseInfo.workYears || 0}年`,
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currentPosition: latestWork.positionName || '',
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currentCompany: latestWork.companyName || '',
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currentSalary: '',
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// 期望信息
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expectedPosition: expectInfo.positionName || '',
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expectedSalary: expectInfo.salaryDesc || '',
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expectedLocation: expectInfo.locationName || '',
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expectedIndustry: expectInfo.industryDesc || '',
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// 技能和专长
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skills: JSON.stringify(skills),
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skillDescription: userDesc,
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certifications: JSON.stringify(resumeData.certificationList || []),
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// 项目经验
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projectExperience: JSON.stringify(projectExpList.map(p => ({
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name: p.name,
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role: p.roleName,
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startDate: p.startDate,
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endDate: p.endDate,
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description: p.projectDesc,
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performance: p.performance
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}))),
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// 工作经历
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workExperience: JSON.stringify(workExpList.map(w => ({
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company: w.companyName,
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position: w.positionName,
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startDate: w.startDate,
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endDate: w.endDate,
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content: w.workContent,
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industry: w.industry?.name
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}))),
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// 简历内容
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resumeContent: userDesc,
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// 原始数据
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originalData: JSON.stringify(resumeData),
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// 状态信息
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isActive: true,
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isPublic: true,
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syncTime: new Date()
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};
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// 保存或更新简历
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if (existingResume) {
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await resume_info.update(resumeInfo, { where: { resumeId: resumeId } });
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console.log(`[简历管理] 简历已更新 - ID: ${resumeId}`);
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} else {
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await resume_info.create(resumeInfo);
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console.log(`[简历管理] 简历已创建 - ID: ${resumeId}`);
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}
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// 二期规划：AI 分析暂时禁用，使用简单的文本匹配
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console.log(`[简历管理] AI分析已禁用（二期规划），使用文本匹配过滤`);
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return { resumeId, message: existingResume ? '简历更新成功' : '简历创建成功' };
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}
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/**
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* 从描述中提取技能标签
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* @param {string} description - 描述文本
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* @returns {Array} 技能标签数组
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*/
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extract_skills_from_desc(description) {
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const skills = [];
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const commonSkills = [
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'Vue', 'React', 'Angular', 'JavaScript', 'TypeScript', 'Node.js',
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'Python', 'Java', 'C#', '.NET', 'Flutter', 'React Native',
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'Webpack', 'Vite', 'Redux', 'MobX', 'Express', 'Koa',
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'Django', 'Flask', 'MySQL', 'MongoDB', 'Redis',
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'WebRTC', 'FFmpeg', 'Canvas', 'WebSocket', 'HTML5', 'CSS3',
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'jQuery', 'Bootstrap', 'Element UI', 'Ant Design',
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'Git', 'Docker', 'Kubernetes', 'AWS', 'Azure',
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'Selenium', 'Jest', 'Mocha', 'Cypress'
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];
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commonSkills.forEach(skill => {
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if (description.includes(skill)) {
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skills.push(skill);
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}
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});
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return [...new Set(skills)]; // 去重
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}
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/**
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* 使用AI分析简历
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* @param {string} resumeId - 简历ID
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* @param {object} resumeInfo - 简历信息
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* @returns {Promise<object>} 分析结果
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*/
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async analyze_resume_with_ai(resumeId, resumeInfo) {
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console.log(`[简历管理] 开始AI分析简历 - ID: ${resumeId}`);
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const resume_info = db.getModel('resume_info');
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// 构建分析提示词
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const prompt = `请分析以下简历，提供专业的评估：
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姓名：${resumeInfo.fullName}
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工作年限：${resumeInfo.workYears}
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当前职位：${resumeInfo.currentPosition}
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期望职位：${resumeInfo.expectedPosition}
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期望薪资：${resumeInfo.expectedSalary}
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学历：${resumeInfo.education}
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技能：${resumeInfo.skills}
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个人优势：
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${resumeInfo.skillDescription}
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请从以下几个方面进行分析：
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1. 核心技能标签（提取5-10个关键技能）
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2. 优势分析（100字以内）
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3. 劣势分析（100字以内）
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4. 职业建议（150字以内）
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5. 竞争力评分（0-100分）`;
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try {
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// 调用AI服务进行分析
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const aiAnalysis = await aiService.analyzeResume(prompt);
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// 解析AI返回的结果
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const analysis = this.parse_ai_analysis(aiAnalysis, resumeInfo);
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// 更新简历的AI分析字段
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await resume_info.update({
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aiSkillTags: JSON.stringify(analysis.skillTags),
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aiStrengths: analysis.strengths,
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aiWeaknesses: analysis.weaknesses,
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aiCareerSuggestion: analysis.careerSuggestion,
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aiCompetitiveness: analysis.competitiveness
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}, { where: { id: resumeId } });
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console.log(`[简历管理] AI分析完成 - 竞争力评分: ${analysis.competitiveness}`);
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return analysis;
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} catch (error) {
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console.error(`[简历管理] AI分析失败:`, error, {
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resumeId: resumeId,
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fullName: resumeInfo.fullName
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});
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// 如果AI分析失败，使用基于规则的默认分析
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const defaultAnalysis = this.get_default_analysis(resumeInfo);
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return defaultAnalysis;
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}
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}
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/**
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* 解析AI分析结果
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* @param {object} aiResponse - AI响应对象
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* @param {object} resumeInfo - 简历信息
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* @returns {object} 解析后的分析结果
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*/
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parse_ai_analysis(aiResponse, resumeInfo) {
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try {
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// 尝试从AI响应中解析JSON
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const content = aiResponse.content || aiResponse.analysis?.content || '';
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// 如果AI返回的是JSON格式
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if (content.includes('{') && content.includes('}')) {
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const jsonMatch = content.match(/\{[\s\S]*\}/);
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if (jsonMatch) {
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const parsed = JSON.parse(jsonMatch[0]);
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return {
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skillTags: parsed.skillTags || parsed.技能标签 || [],
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strengths: parsed.strengths || parsed.优势 || parsed.优势分析 || '',
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weaknesses: parsed.weaknesses || parsed.劣势 || parsed.劣势分析 || '',
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careerSuggestion: parsed.careerSuggestion || parsed.职业建议 || '',
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competitiveness: parsed.competitiveness || parsed.竞争力评分 || 70
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};
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}
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}
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// 如果无法解析JSON，尝试从文本中提取信息
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const skillTagsMatch = content.match(/技能标签[：:](.*?)(?:\n|$)/);
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const strengthsMatch = content.match(/优势[分析]*[：:](.*?)(?:\n|劣势)/s);
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const weaknessesMatch = content.match(/劣势[分析]*[：:](.*?)(?:\n|职业)/s);
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const suggestionMatch = content.match(/职业建议[：:](.*?)(?:\n|竞争力)/s);
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const scoreMatch = content.match(/竞争力评分[：:](\d+)/);
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return {
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skillTags: skillTagsMatch ? skillTagsMatch[1].split(/[,，、]/).map(s => s.trim()) : [],
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strengths: strengthsMatch ? strengthsMatch[1].trim() : '',
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weaknesses: weaknessesMatch ? weaknessesMatch[1].trim() : '',
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careerSuggestion: suggestionMatch ? suggestionMatch[1].trim() : '',
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competitiveness: scoreMatch ? parseInt(scoreMatch[1]) : 70
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};
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} catch (error) {
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console.error(`[简历管理] 解析AI分析结果失败:`, error);
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// 解析失败时使用默认分析
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return this.get_default_analysis(resumeInfo);
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}
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}
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/**
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* 获取默认分析结果（基于规则）
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* @param {object} resumeInfo - 简历信息
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* @returns {object} 分析结果
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*/
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get_default_analysis(resumeInfo) {
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const skills = JSON.parse(resumeInfo.skills || '[]');
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const workYears = parseInt(resumeInfo.workYears) || 0;
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// 计算竞争力评分
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let competitiveness = 50; // 基础分
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// 工作年限加分
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if (workYears >= 10) competitiveness += 20;
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else if (workYears >= 5) competitiveness += 15;
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else if (workYears >= 3) competitiveness += 10;
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// 技能数量加分
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if (skills.length >= 10) competitiveness += 15;
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else if (skills.length >= 5) competitiveness += 10;
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// 学历加分
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if (resumeInfo.education.includes('硕士')) competitiveness += 10;
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else if (resumeInfo.education.includes('本科')) competitiveness += 5;
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// 确保分数在0-100之间
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competitiveness = Math.min(100, Math.max(0, competitiveness));
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return {
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skillTags: skills.slice(0, 10),
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strengths: `拥有${resumeInfo.workYears}工作经验，技术栈全面，掌握${skills.slice(0, 5).join('、')}等主流技术。`,
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weaknesses: '建议继续深化技术深度，关注行业前沿技术发展。',
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careerSuggestion: `基于您的${resumeInfo.expectedPosition}职业目标和${resumeInfo.workYears}经验，建议重点关注中大型互联网公司的相关岗位，期望薪资${resumeInfo.expectedSalary}较为合理。`,
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competitiveness: competitiveness
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};
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}
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/**
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* 分析简历要素
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* @param {string} sn_code - 设备SN码
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* @param {object} resumeData - 简历数据
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* @returns {Promise<object>} 分析结果
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*/
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async analyze_resume(sn_code, resumeData) {
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console.log(`[简历管理] 开始分析设备 ${sn_code} 的简历要素`);
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console.log(`[简历管理] AI分析已禁用（二期规划），使用文本匹配过滤`);
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// 构建简历文本
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const resumeText = this.build_resume_text(resumeData);
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// 二期规划：AI 分析暂时禁用，使用简单的文本匹配
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// const analysis = await aiService.analyzeResume(resumeText);
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// 使用简单的文本匹配提取技能
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const skills = this.extract_skills_from_desc(resumeData.skillDescription || resumeText);
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const result = {
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sn_code: sn_code,
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resumeData: resumeData,
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analysis: {
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skills: skills,
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content: '文本匹配分析（AI分析已禁用，二期规划）'
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},
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timestamp: Date.now()
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};
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console.log(`[简历管理] 简历分析完成，提取技能: ${skills.join(', ')}`);
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return result;
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}
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/**
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* 构建简历文本
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* @param {object} resumeData - 简历数据
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* @returns {string} 简历文本
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*/
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build_resume_text(resumeData) {
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const parts = [];
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// 基本信息
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if (resumeData.basicInfo) {
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parts.push(`基本信息：${JSON.stringify(resumeData.basicInfo)}`);
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}
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// 技能标签
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if (resumeData.skills && resumeData.skills.length > 0) {
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parts.push(`技能标签：${resumeData.skills.join(', ')}`);
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}
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// 工作经验
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if (resumeData.workExperience && resumeData.workExperience.length > 0) {
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const workExp = resumeData.workExperience.map(exp =>
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`${exp.company} - ${exp.position} (${exp.duration})`
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).join('; ');
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parts.push(`工作经验：${workExp}`);
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}
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// 项目经验
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if (resumeData.projectExperience && resumeData.projectExperience.length > 0) {
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const projectExp = resumeData.projectExperience.map(project =>
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`${project.name} - ${project.description}`
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).join('; ');
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parts.push(`项目经验：${projectExp}`);
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}
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// 教育背景
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if (resumeData.education) {
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parts.push(`教育背景：${resumeData.education.school} - ${resumeData.education.major} - ${resumeData.education.degree}`);
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}
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// 期望信息
|
||
if (resumeData.expectations) {
|
||
parts.push(`期望薪资：${resumeData.expectations.salary}`);
|
||
parts.push(`期望地点：${resumeData.expectations.location}`);
|
||
}
|
||
|
||
return parts.join('\n');
|
||
}
|
||
|
||
/**
|
||
* 计算简历与岗位的匹配度
|
||
* @param {string} sn_code - 设备SN码
|
||
* @param {object} jobInfo - 岗位信息
|
||
* @returns {Promise<object>} 匹配度分析结果
|
||
*/
|
||
async calculate_match_score(sn_code, jobInfo) {
|
||
console.log(`[简历管理] 开始计算设备 ${sn_code} 与岗位的匹配度`);
|
||
console.log(`[简历管理] 使用文本匹配分析（AI分析已禁用，二期规划）`);
|
||
|
||
// 获取简历分析结果
|
||
const resumeAnalysis = await this.get_resume_analysis(sn_code);
|
||
|
||
// 获取账号的职位类型ID
|
||
let jobTypeId = null;
|
||
try {
|
||
const db = require('../dbProxy.js');
|
||
const pla_account = db.getModel('pla_account');
|
||
if (pla_account) {
|
||
const account = await pla_account.findOne({
|
||
where: { sn_code, platform_type: jobInfo.platform || 'boss' }
|
||
});
|
||
if (account) {
|
||
jobTypeId = account.job_type_id;
|
||
}
|
||
}
|
||
} catch (error) {
|
||
console.warn(`[简历管理] 获取职位类型ID失败:`, error);
|
||
}
|
||
|
||
// 使用文本匹配进行岗位分析（替代 AI）
|
||
const jobAnalysis = await jobFilterService.analyzeJobMatch(jobInfo, resumeAnalysis.analysis || {}, jobTypeId);
|
||
|
||
const result = {
|
||
sn_code: sn_code,
|
||
jobInfo: jobInfo,
|
||
resumeAnalysis: resumeAnalysis.analysis,
|
||
jobAnalysis: jobAnalysis,
|
||
timestamp: Date.now()
|
||
};
|
||
|
||
console.log(`[简历管理] 匹配度分析完成，综合分数: ${jobAnalysis.overallScore}`);
|
||
return result;
|
||
}
|
||
|
||
/**
|
||
* 获取简历分析结果
|
||
* @param {string} sn_code - 设备SN码
|
||
* @param {object} mqttClient - MQTT客户端（可选）
|
||
* @returns {Promise<object>} 简历分析结果
|
||
*/
|
||
async get_resume_analysis(sn_code, mqttClient = null) {
|
||
// 获取MQTT客户端
|
||
if (!mqttClient) {
|
||
const scheduleManager = require('../schedule');
|
||
if (scheduleManager && scheduleManager.mqttClient) {
|
||
mqttClient = scheduleManager.mqttClient;
|
||
} else {
|
||
throw new Error('MQTT客户端未初始化');
|
||
}
|
||
}
|
||
|
||
// 重新获取和分析
|
||
const resumeData = await this.get_online_resume(sn_code, mqttClient);
|
||
return await this.analyze_resume(sn_code, resumeData);
|
||
}
|
||
|
||
/**
|
||
* 更新简历信息
|
||
* @param {string} sn_code - 设备SN码
|
||
* @param {object} newResumeData - 新的简历数据
|
||
* @returns {Promise<object>} 更新结果
|
||
*/
|
||
async update_resume(sn_code, newResumeData) {
|
||
console.log(`[简历管理] 更新设备 ${sn_code} 的简历信息`);
|
||
|
||
// 重新分析简历
|
||
const analysis = await this.analyze_resume(sn_code, newResumeData);
|
||
|
||
return {
|
||
message: '简历更新成功',
|
||
analysis: analysis
|
||
};
|
||
}
|
||
|
||
/**
|
||
* 获取简历摘要
|
||
* @param {string} sn_code - 设备SN码
|
||
* @returns {Promise<object>} 简历摘要
|
||
*/
|
||
async get_resume_summary(sn_code) {
|
||
const analysis = await this.get_resume_analysis(sn_code);
|
||
|
||
const summary = {
|
||
sn_code: sn_code,
|
||
skills: analysis.analysis.skills || [],
|
||
experience: analysis.analysis.experience || '',
|
||
education: analysis.analysis.education || '',
|
||
expectedSalary: analysis.analysis.expectedSalary || '',
|
||
expectedLocation: analysis.analysis.expectedLocation || '',
|
||
lastUpdate: analysis.timestamp
|
||
};
|
||
|
||
return summary;
|
||
}
|
||
|
||
}
|
||
|
||
module.exports = new ResumeManager();
|