jiaowu-test/test_mockdata_transform.cjs

// 测试mockData中的transformCompanyJobs函数
const companyJobsNewData = require('./src/data/companyJobsNew.json');
const companyImagesData = require('./网页未导入数据/文旅产业/文旅_内推岗位企业图片.json');
const interviewStatusData = require('./src/data/interviewStatus.json');

// 创建公司图片映射（模拟mockData.js中的逻辑）
const companyImagesMap = {};
companyImagesData.forEach(item => {
  const imageUrls = item['BOSS照片链接'] ? item['BOSS照片链接'].split(',').map(url => url.trim()) : [];
  companyImagesMap[item['内推岗位名称']] = imageUrls;
});

console.log('📊 公司图片映射创建完成');
console.log('   映射表大小:', Object.keys(companyImagesMap).length);
console.log('   SEO专员图片数:', companyImagesMap['SEO专员']?.length || 0);

// 模拟transformCompanyJobs函数
const transformCompanyJobs = (jobsData) => {
  const today = new Date();
  today.setHours(0, 0, 0, 0);

  const interviewedPositions = interviewStatusData.map(status => status["查询岗位名称"]);

  return jobsData
    .filter(job => !interviewedPositions.includes(job["内推岗位名称"]))
    .map((job, index) => {
      const deadlineParts = job["截止时间"].split('/');
      const deadlineDate = new Date(
        parseInt(deadlineParts[0]),
        parseInt(deadlineParts[1]) - 1,
        parseInt(deadlineParts[2])
      );
      deadlineDate.setHours(0, 0, 0, 0);

      const isExpired = deadlineDate < today;

      return {
        id: index + 1,
        company: job["公司介绍"] ? job["公司介绍"].split('。')[0].substring(0, 20) + '...' : `公司${index + 1}`,
        position: job["内推岗位名称"],
        salary: job["薪资"],
        status: isExpired ? "expired" : "available",
        jobType: job["岗位标签"] === "实习" ? "internship" : "fulltime",
        remainingPositions: parseInt(job["招聘人数"]) || 1,
        applicationStatus: isExpired ? "expired" : "not_applied",
        tags: job["职位标签"] || [],
        deadline: `${deadlineParts[0]}-${deadlineParts[1].padStart(2, '0')}-${deadlineParts[2].padStart(2, '0')}`,
        deadlineDate: deadlineDate,
        isExpired: isExpired,
        type: job["岗位相关标签"] || "专业相关岗位",
        jobCategory: job["岗位相关标签"] || "专业相关岗位",
        location: job["工作地点"],
        education: job["学历要求"],
        benefits: job["福利标签"] || [],
        isRecommended: Math.random() > 0.7,
        details: {
          location: job["工作地点"],
          experience: "1-3年",
          education: job["学历要求"],
          positions: job["招聘人数"],
          description: job["职位描述"],
          requirements: job["任职要求"] ? job["任职要求"].split(/\d+\.\s*/).filter(r => r.trim()) : [],
          requirementsText: job["任职要求"],
          benefits: job["福利标签"] || [],
          companyInfo: job["公司介绍"],
          companyImages: companyImagesMap[job["内推岗位名称"]] || []
        }
      };
    })
    .sort((a, b) => {
      return b.deadlineDate - a.deadlineDate;
    });
};

const transformedJobs = transformCompanyJobs(companyJobsNewData);

console.log('\n📋 转换后的岗位数据');
console.log('   总岗位数:', transformedJobs.length);

// 查找SEO专员
const seoJob = transformedJobs.find(job => job.position === 'SEO专员');

console.log('\n🎯 SEO专员岗位数据:');
if (seoJob) {
  console.log('   ✓ 找到SEO专员岗位');
  console.log('   岗位ID:', seoJob.id);
  console.log('   岗位名称:', seoJob.position);
  console.log('   公司介绍存在:', !!seoJob.details.companyInfo);
  console.log('   公司介绍长度:', seoJob.details.companyInfo?.length || 0);
  console.log('   companyImages存在:', !!seoJob.details.companyImages);
  console.log('   companyImages是数组:', Array.isArray(seoJob.details.companyImages));
  console.log('   图片数量:', seoJob.details.companyImages?.length || 0);

  if (seoJob.details.companyImages && seoJob.details.companyImages.length > 0) {
    console.log('   ✅ SEO专员有图片数据!');
    console.log('   第一张图片:', seoJob.details.companyImages[0]);
  } else {
    console.log('   ❌ SEO专员没有图片数据!');
  }

  console.log('\n   完整的details对象:');
  console.log(JSON.stringify(seoJob.details, null, 2));
} else {
  console.log('   ✗ 未找到SEO专员岗位');
}

// 统计有图片的岗位
const jobsWithImages = transformedJobs.filter(job =>
  job.details.companyImages && job.details.companyImages.length > 0
);

console.log('\n📸 图片统计:');
console.log('   有图片的岗位数:', jobsWithImages.length);
console.log('   前10个有图片的岗位:');
jobsWithImages.slice(0, 10).forEach(job => {
  console.log(`      - ${job.position}: ${job.details.companyImages.length}张图片`);
});