88 lines
3.0 KiB
JavaScript
88 lines
3.0 KiB
JavaScript
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import fs from 'fs';
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// 读取环保问答内容数据
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const envQAData = JSON.parse(fs.readFileSync('./网页未导入数据/环保产业/环保问答内容.json', 'utf8'));
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// 导师头像映射
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const mentorAvatars = {
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"何晓凯": "https://ddcz-1315997005.cos.ap-nanjing.myqcloud.com/static/img/teach_sys_teacher-avatar/recuW70q6gekXc.png",
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"赵雅芳": "https://ddcz-1315997005.cos.ap-nanjing.myqcloud.com/static/img/teach_sys_teacher-avatar/recuW7dxJ547VI.png",
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"丁增辉": "https://ddcz-1315997005.cos.ap-nanjing.myqcloud.com/static/img/teach_sys_teacher-avatar/recuW7dxJ5I7zh.png",
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"": "https://ddcz-1315997005.cos.ap-nanjing.myqcloud.com/static/img/teach_sys_icon/recuWmDuekBTlr.png" // 多多畅职机器人头像
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};
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// 转换数据格式
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const conversations = [];
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envQAData.forEach((qa, index) => {
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const conversation = {
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id: index + 1,
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title: qa["问题标题（AI）"],
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status: "finish",
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date: qa["流程1_时间"] ? qa["流程1_时间"].split('/').slice(0, 2).join('年') + '月' : "2024年",
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type: qa["问答类型"],
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messages: []
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};
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// 处理流程1-6的问答
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for (let i = 1; i <= 6; i += 2) {
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const questionKey = `问题_流程${i}`;
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const questionTimeKey = `流程${i}_时间`;
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const answerKey = `回答_流程${i+1}`;
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const answerTimeKey = `流程${i+1}_时间`;
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const question = qa[questionKey];
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const questionTime = qa[questionTimeKey];
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const answer = qa[answerKey];
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const answerTime = qa[answerTimeKey];
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if (question && question.trim() !== '') {
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// 添加用户问题
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conversation.messages.push({
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type: "user",
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content: question,
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time: questionTime || `2024/${index + 1}/${10 + i} 12:00`
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});
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// 添加回答
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if (answer && answer.trim() !== '') {
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const mentorName = qa["查询导师名称"] || "";
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const displayName = mentorName ? mentorName + "老师" : "多多畅职机器人";
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conversation.messages.push({
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type: "assistant",
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content: answer,
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mentor: displayName,
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time: answerTime || `2024/${index + 1}/${10 + i} 12:01`,
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mentorAvatar: mentorAvatars[mentorName] || mentorAvatars[""]
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});
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}
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}
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}
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if (conversation.messages.length > 0) {
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conversations.push(conversation);
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}
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});
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// 构建完整的expertSupportData结构
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const expertSupportData = {
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conversations: conversations
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};
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// 输出转换后的数据
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console.log('转换完成！共生成', conversations.length, '个对话');
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console.log('每个对话的消息数量：');
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conversations.forEach((conv, i) => {
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console.log(` 对话${i + 1} [${conv.title}]：${conv.messages.length}条消息`);
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});
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// 保存到文件
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const outputPath = './src/data/expertSupportData.js';
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const fileContent = `// 从环保问答内容.json转换的专家支持中心数据
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const expertSupportData = ${JSON.stringify(expertSupportData, null, 2)};
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export default expertSupportData;`;
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fs.writeFileSync(outputPath, fileContent, 'utf8');
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console.log('\n数据已保存到:', outputPath);
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