const fs = require('fs');

// 读取数据
const companyJobsNewData = JSON.parse(fs.readFileSync('./src/data/companyJobsNew.json', 'utf8'));
const companyImagesData = JSON.parse(fs.readFileSync('./网页未导入数据/智能制造产业/智能制造_内推岗位企业图片.json', 'utf8'));
const interviewStatusData = JSON.parse(fs.readFileSync('./src/data/interviewStatus.json', 'utf8'));

console.log("=== 数据转换测试 ===\n");

// 创建图片映射（复制mockData.js中的逻辑）
const companyImagesMap = {};
companyImagesData.forEach(item => {
  const positionName = item["内推岗位名称"];
  const imageLinks = item["BOSS照片链接"];
  if (positionName && imageLinks) {
    companyImagesMap[positionName] = imageLinks.split(',').map(url => url.trim());
  }
});

console.log("图片映射创建完成，共", Object.keys(companyImagesMap).length, "个岗位\n");

// 获取面试状态中的岗位
const interviewedPositions = interviewStatusData.map(status => status["查询岗位名称"]);
console.log("面试状态岗位数:", interviewedPositions.length);
console.log("面试状态岗位:", interviewedPositions.join(", "));

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

const transformedJobs = companyJobsNewData
  .filter(job => !interviewedPositions.includes(job["内推岗位名称"]))
  .map((job, index) => {
    const positionName = job["内推岗位名称"];
    const companyImages = companyImagesMap[positionName] || [];
    
    return {
      id: index + 1,
      position: positionName,
      hasImages: companyImages.length > 0,
      imageCount: companyImages.length,
      details: {
        companyImages: companyImages
      }
    };
  });

console.log("\n=== 转换后的岗位数据 ===");
console.log("过滤后岗位总数:", transformedJobs.length);
console.log("有图片的岗位数:", transformedJobs.filter(j => j.hasImages).length);

console.log("\n=== 前10个转换后的岗位 ===");
transformedJobs.slice(0, 10).forEach((job, idx) => {
  const mark = job.hasImages ? "✅" : "❌";
  console.log(mark, (idx+1) + ".", job.position, 
    job.hasImages ? `(${job.imageCount}张)` : "(无图片)");
});

console.log("\n=== 有图片的岗位详细信息 ===");
const jobsWithImages = transformedJobs.filter(j => j.hasImages);
jobsWithImages.forEach((job, idx) => {
  console.log(`${idx+1}. ${job.position}: ${job.imageCount}张图片`);
  if (job.details.companyImages.length > 0) {
    console.log(`   第一张: ${job.details.companyImages[0].substring(0, 80)}...`);
  }
});

console.log("\n=== 被过滤掉的面试状态岗位中有图片的 ===");
const filteredJobsWithImages = companyJobsNewData
  .filter(job => interviewedPositions.includes(job["内推岗位名称"]))
  .filter(job => companyImagesMap[job["内推岗位名称"]])
  .map(job => ({
    position: job["内推岗位名称"],
    imageCount: companyImagesMap[job["内推岗位名称"]].length
  }));

if (filteredJobsWithImages.length > 0) {
  console.log("注意：以下岗位有图片但因为在面试状态中被过滤：");
  filteredJobsWithImages.forEach((job, idx) => {
    console.log(`  ${idx+1}. ${job.position} (${job.imageCount}张图片)`);
  });
} else {
  console.log("无");
}