cd2e307402
主要内容： - 包含12个产业的完整教务系统前端代码 - 智能启动脚本 (start-industry.sh) - 可视化产业导航页面 (index.html) - 项目文档 (README.md) 优化内容： - 删除所有node_modules和.yoyo文件夹，从7.5GB减少到2.7GB - 添加.gitignore文件避免上传不必要的文件 - 自动依赖管理和智能启动系统 产业列表： 1. 文旅产业 (5150) 2. 智能制造 (5151) 3. 智能开发 (5152) 4. 财经商贸 (5153) 5. 视觉设计 (5154) 6. 交通物流 (5155) 7. 大健康 (5156) 8. 土木水利 (5157) 9. 食品产业 (5158) 10. 化工产业 (5159) 11. 能源产业 (5160) 12. 环保产业 (5161) 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
83 lines
3.5 KiB
Python
83 lines
3.5 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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import json
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# 读取大健康个人档案数据
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with open('网页未导入数据/大健康产业/大健康个人档案.json', 'r', encoding='utf-8') as f:
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health_profiles = json.load(f)
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# 读取头像列表
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with open('网页未导入数据/头像列表.json', 'r', encoding='utf-8') as f:
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avatar_list = json.load(f)
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# 头像映射（根据学生名称）
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avatar_map = {
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"于语涵": "https://ddcz-1315997005.cos.ap-nanjing.myqcloud.com/static/avatar/douyin/f1dcfee97ade582e97c666ebae40563f.jpg",
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"陈沐谦": "https://ddcz-1315997005.cos.ap-nanjing.myqcloud.com/static/avatar/douyin/d96aef8e47c87f01ac15e6ca51643e38.jpg",
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"魏思涵": "https://ddcz-1315997005.cos.ap-nanjing.myqcloud.com/static/avatar/douyin/9c8e2aa5e1f0aad6c3e528f088c9e1f0.jpg",
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"沈思宁": "https://ddcz-1315997005.cos.ap-nanjing.myqcloud.com/static/avatar/douyin/c825e86e5c2e03f43c38ee1f37f9e925.jpg",
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"鲁嘉树": "https://ddcz-1315997005.cos.ap-nanjing.myqcloud.com/static/avatar/douyin/2b1e3f5beebf23bb0b949c38e2ea85e1.jpg",
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"奚沐辰": "https://ddcz-1315997005.cos.ap-nanjing.myqcloud.com/static/avatar/douyin/67c67c0c8a1b4f95cf03ffa5fe12e0f1.jpg",
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"何泽": "https://ddcz-1315997005.cos.ap-nanjing.myqcloud.com/static/avatar/douyin/152361c6c68a193660cdbdf9074c2cf3.jpg",
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"杜思妍": "https://ddcz-1315997005.cos.ap-nanjing.myqcloud.com/static/avatar/douyin/d1ac60e4c1bb21e0f93a479e8c19e5f0.jpg",
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"张予安": "https://ddcz-1315997005.cos.ap-nanjing.myqcloud.com/static/avatar/douyin/c3e7c3c0f1d3e4c9bde1f1e8e9c4f9e0.jpg",
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"马哲宇": "https://ddcz-1315997005.cos.ap-nanjing.myqcloud.com/static/avatar/douyin/e9f1c4e8e9c4f9e0f1e8e9c4c3e7c3c0.jpg"
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}
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# 构建班级排名数据
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rankings = []
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for profile in health_profiles:
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name = profile['学员名称'].rstrip('') # 去除特殊字符
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rankings.append({
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"rank": int(profile['班级排名']),
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"studentId": profile['学号'],
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"studentName": name,
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"name": name,
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"avatar": avatar_map.get(name, avatar_list[int(profile['班级排名']) - 1] if int(profile['班级排名']) <= len(avatar_list) else ""),
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"score": int(profile['学分']),
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"credits": int(profile['学分']),
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"school": profile['学校名称'],
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"major": profile['专业名称'],
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"isMe": name == "何泽" # 何泽是当前用户
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})
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# 按排名排序
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rankings.sort(key=lambda x: x['rank'])
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# 构建完整的ranking对象
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ranking_data = {
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"myRank": {
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"rank": 7, # 何泽排名第7
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"score": 94,
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"totalStudents": 10,
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"trend": "stable",
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"change": 0
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},
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"classInfo": {
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"className": "大健康班",
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"totalStudents": 10,
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"averageScore": 94.9 # (98+98+96+96+95+95+94+93+93+90)/10
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},
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"rankings": rankings
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}
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# 读取mockData.js文件
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with open('src/data/mockData.js', 'r', encoding='utf-8') as f:
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content = f.read()
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# 查找并替换ranking部分（在profileOverview中）
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import re
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# 找到profileOverview的ranking部分
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pattern = r'(mockData\.profileOverview = \{[\s\S]*?ranking: )\{[\s\S]*?\n \},\n( // |\s+\w+:)'
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replacement = r'\1' + json.dumps(ranking_data, ensure_ascii=False, indent=6).replace('\n', '\n ') + ',\n\\2'
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content = re.sub(pattern, replacement, content)
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# 写回文件
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with open('src/data/mockData.js', 'w', encoding='utf-8') as f:
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f.write(content)
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print("✅ 成功更新班级排名数据为大健康产业数据")
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print(f"✅ 共更新 {len(rankings)} 个学生的排名信息") |