280 lines
8.6 KiB
JavaScript
280 lines
8.6 KiB
JavaScript
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const fs = require('fs');
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const path = require('path');
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// 读取智能开发岗位简历数据
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const smartDevData = JSON.parse(
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fs.readFileSync('./网页未导入数据/智能开发产业/智能开发岗位简历.json', 'utf-8')
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);
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// 按岗位群分组
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const groupedData = {};
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smartDevData.forEach(item => {
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const group = item['简历岗位群'];
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if (!groupedData[group]) {
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groupedData[group] = {
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positions: [],
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questions: item['面试题'],
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questionsContent: item['面试题内容']
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};
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}
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groupedData[group].positions.push(item);
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});
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// 生成industries数组
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const industries = [];
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let industryIndex = 0;
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Object.keys(groupedData).sort().forEach(groupName => {
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const groupData = groupedData[groupName];
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industryIndex++;
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// 解析面试题 - 每个岗位群只有一个面试题卡片
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const questions = [];
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if (groupData.questionsContent) {
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const sections = groupData.questionsContent.split(/# [一二三四五六七八九十]+、/);
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// 收集所有子问题
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const allSubQuestions = [];
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let questionIndex = 0;
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sections.forEach((section, sectionIndex) => {
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if (sectionIndex === 0 || !section.trim()) return;
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const lines = section.split('\n');
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const sectionTitle = lines[0] ? lines[0].trim() : `第${sectionIndex}部分`;
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lines.forEach(line => {
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const questionMatch = line.match(/^\d+\.\s+(.+)/);
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const answerMatch = line.match(/^示例答案[：:]\s*(.+)/);
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if (questionMatch) {
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questionIndex++;
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const question = questionMatch[1].trim();
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// 查找后续的答案
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let answer = '';
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const lineIndex = lines.indexOf(line);
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for (let i = lineIndex + 1; i < lines.length; i++) {
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if (lines[i].match(/^示例答案[：:]/)) {
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answer = lines[i].replace(/^示例答案[：:]/, '').trim();
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// 继续收集多行答案
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for (let j = i + 1; j < lines.length; j++) {
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if (lines[j].match(/^\d+\./)) break;
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if (lines[j].trim()) {
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answer += ' ' + lines[j].trim();
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}
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}
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break;
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}
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}
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allSubQuestions.push({
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id: `q_${questionIndex}`,
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question: question,
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answer: answer || "请根据实际情况回答"
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});
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}
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});
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});
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// 创建一个面试题卡片，包含所有问题
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if (allSubQuestions.length > 0) {
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// 只取前10个问题，避免太多
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const limitedQuestions = allSubQuestions.slice(0, 10);
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questions.push({
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id: `group_q1`,
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question: `# ${groupData.questions || groupName + '面试题'}`,
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subQuestions: limitedQuestions
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});
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}
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}
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const industry = {
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id: `smartdev_${industryIndex}`,
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name: groupName,
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positions: groupData.positions.map((pos, index) => ({
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id: `smartdev_${industryIndex}_${index + 1}`,
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title: pos['岗位名称'],
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level: pos['岗位等级标签'],
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avatar: pos['简历头像url'],
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department: groupName,
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type: "全职",
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experience: "1-3年",
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education: "大专",
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salary: "6-12K",
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location: "苏州",
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updateTime: "2024-01-20",
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description: `负责${pos['岗位名称']}相关工作`,
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requirements: extractRequirements(pos['简历内容'])
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})),
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questions: questions // 一个岗位群只有一个面试题卡片
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};
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industries.push(industry);
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});
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// 生成resumeTemplates对象
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const resumeTemplates = {};
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Object.keys(groupedData).sort().forEach(groupName => {
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const groupData = groupedData[groupName];
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resumeTemplates[groupName] = groupData.positions.map(pos => ({
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position: pos['岗位名称'],
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level: pos['岗位等级标签'],
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avatar: pos['简历头像url'],
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content: {
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original: pos['简历内容'],
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modified: pos['简历内容'] // 暂时使用相同内容
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},
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studentInfo: extractStudentInfo(pos['简历内容'])
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}));
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});
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// 辅助函数：提取职位要求（从简历中提取核心能力前4条）
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function extractRequirements(resumeContent) {
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const requirements = [];
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const coreSkillsMatch = resumeContent.match(/### （一）核心能力\s*\n\n([\s\S]*?)### （二）/);
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if (coreSkillsMatch) {
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const skills = coreSkillsMatch[1].split('\n')
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.filter(line => line.match(/^\d+\./))
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.slice(0, 4)
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.map(line => line.replace(/^\d+\.\s*/, '').trim());
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return skills.length > 0 ? skills : getDefaultRequirements();
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}
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return getDefaultRequirements();
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}
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function getDefaultRequirements() {
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return [
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"具备相关专业知识和技能",
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"熟悉行业标准和规范",
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"良好的团队协作能力",
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"持续学习和创新能力"
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];
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}
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// 辅助函数：提取学生信息
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function extractStudentInfo(resumeContent) {
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const info = {
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project_experience: {},
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core_skills: [],
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composite_skills: [],
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personal_summary: ""
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};
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// 提取项目经历
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const projectMatch = resumeContent.match(/### （一）项目名称[：:]\s*(.+)/);
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const positionMatch = resumeContent.match(/### （二）实习岗位[：:]\s*(.+)/);
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const timeMatch = resumeContent.match(/### （[三四]）实习时间[：:]\s*(.+)/);
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const companyMatch = resumeContent.match(/### （[三四]）实习单位[：:]\s*(.+)/);
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if (projectMatch) info.project_experience.project_name = projectMatch[1].trim();
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if (positionMatch) info.project_experience.position = positionMatch[1].trim();
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if (timeMatch) info.project_experience.time_period = timeMatch[1].trim();
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if (companyMatch) info.project_experience.company = companyMatch[1].trim();
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// 提取岗位职责
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const dutiesMatch = resumeContent.match(/### （五）岗位职责[：:]\s*\n\n([\s\S]*?)#/);
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if (dutiesMatch) {
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info.project_experience.description = dutiesMatch[1]
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.split('\n')
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.filter(line => line.match(/^\d+\./))
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.map(line => line.replace(/^\d+\.\s*/, '').trim())
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.join(' ；\n');
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}
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// 提取核心技能
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const coreSkillsMatch = resumeContent.match(/### （一）核心能力\s*\n\n([\s\S]*?)### （二）/);
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if (coreSkillsMatch) {
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info.core_skills = coreSkillsMatch[1]
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.split('\n')
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.filter(line => line.match(/^\d+\./))
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.map(line => line.replace(/^\d+\.\s*/, '').trim());
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}
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// 提取复合能力
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const compositeSkillsMatch = resumeContent.match(/### （二）复合能力\s*\n\n([\s\S]*?)#/);
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if (compositeSkillsMatch) {
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info.composite_skills = compositeSkillsMatch[1]
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.split('\n')
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.filter(line => line.match(/^\d+\./))
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.map(line => line.replace(/^\d+\.\s*/, '').split(/[：:]/)[0].trim())
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.slice(0, 2);
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}
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// 提取个人总结
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const summaryMatch = resumeContent.match(/# 三、个人[总评][结价]\s*\n\n([\s\S]*?)$/);
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if (summaryMatch) {
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info.personal_summary = summaryMatch[1].trim();
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}
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return info;
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}
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// 生成最终的Mock数据结构
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const mockData = `// 简历与面试题Mock数据
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// 岗位群列表
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const industries = ${JSON.stringify(industries, null, 2)};
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// 简历模板数据
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const resumeTemplates = ${JSON.stringify(resumeTemplates, null, 2)};
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// 我的简历数据
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const myResume = {
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personalInfo: {
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name: "张明",
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phone: "138****8888",
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email: "zhangming@example.com",
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age: 22,
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education: "苏州信息职业技术学院 2020.9-2023.6",
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experience: "应届毕业生",
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location: "苏州"
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},
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workExperience: [
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{
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company: "苏州某智能科技企业",
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position: "AI开发实习生",
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duration: "2023.03-2023.06",
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description: "负责AI模型开发与应用相关工作"
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}
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],
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skills: ["Python编程", "机器学习", "深度学习", "数据分析"],
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projects: [
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{
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name: "智能应用开发项目",
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role: "AI开发实习生",
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duration: "2023.04-2023.06",
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description: "参与智能应用的模型开发和部署"
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}
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]
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};
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// 获取页面mock数据的函数
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export function getMockPageData() {
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return resumeInterviewMockData;
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}
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// 导出合并的数据
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export const resumeInterviewMockData = {
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industries,
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resumeTemplates,
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myResume
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};`;
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// 写入修复后的数据
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fs.writeFileSync('./src/mocks/resumeInterviewMock.js', mockData, 'utf-8');
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console.log('面试题结构修复完成！');
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console.log(`- 生成了 ${industries.length} 个岗位群`);
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console.log('- 每个岗位群只有一个面试题卡片');
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console.log('- 每个面试题卡片最多包含10个问题');
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// 输出第一个岗位群的面试题结构作为示例
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console.log('\n示例（第一个岗位群的面试题结构）:');
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console.log(JSON.stringify(industries[0].questions, null, 2));
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