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>
99 lines
3.9 KiB
Python
99 lines
3.9 KiB
Python
#!/usr/bin/env python3
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"""恢复班级排名数据为智能制造数据"""
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import json
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import re
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from datetime import datetime
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def load_manufacturing_data():
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"""加载智能制造个人档案数据"""
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with open('网页未导入数据/智能制造产业/智能制造个人档案.json', 'r', encoding='utf-8') as f:
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return json.load(f)
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def load_avatar_list():
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"""加载头像列表"""
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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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avatars = json.load(f)
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avatar_urls = []
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for avatar in avatars[:20]:
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url = avatar['file_url']
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base_url = url.split('?')[0] if '?' in url else url
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avatar_urls.append(base_url)
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return avatar_urls
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def transform_to_top_students(manufacturing_data, avatar_urls):
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"""转换为topStudents格式"""
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top_students = []
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for idx, student in enumerate(manufacturing_data[:10]): # 取前10名
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top_student = {
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"rank": int(student["班级排名"]),
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"studentId": student["学号"],
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"studentName": student["学员名称"],
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"name": student["学员名称"],
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"avatar": avatar_urls[idx % len(avatar_urls)],
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"score": int(student["学分"]),
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"credits": int(student["学分"]),
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"school": student["学校名称"],
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"major": student["专业名称"],
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"isMe": idx == 1 # 第2名(王强)是当前用户
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}
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top_students.append(top_student)
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return top_students
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def update_dashboard_statistics():
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"""只更新mockData.js中的dashboardStatistics.ranking部分"""
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# 加载数据
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manufacturing_data = load_manufacturing_data()
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avatar_urls = load_avatar_list()
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# 读取现有文件
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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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# 备份
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backup_time = datetime.now().strftime('%Y%m%d_%H%M%S')
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with open(f'src/data/mockData.js.backup_{backup_time}_restore', 'w', encoding='utf-8') as f:
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f.write(content)
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# 生成新的topStudents数据
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top_students = transform_to_top_students(manufacturing_data, avatar_urls)
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# 转换为JavaScript格式
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top_students_str = json.dumps(top_students, ensure_ascii=False, indent=6)
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# 去掉属性名的引号
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top_students_str = re.sub(r'"(\w+)":', r'\1:', top_students_str)
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# 1. 替换dashboardStatistics.ranking.topStudents
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# 使用更精确的模式匹配
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pattern = r'(dashboardStatistics\s*=\s*{[^}]*?ranking:\s*{[^}]*?topStudents:\s*\[)[^\]]*\]'
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def replace_dashboard_top_students(match):
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return match.group(1) + '\n' + top_students_str + '\n]'
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content = re.sub(pattern, replace_dashboard_top_students, content, flags=re.DOTALL)
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# 2. 更新myRank为王强(第2名)的数据
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current_student = manufacturing_data[1] # 第2名 王强
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# 更新dashboardStatistics.ranking.myRank
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pattern = r'(dashboardStatistics\s*=\s*{[^}]*?ranking:\s*{[^}]*?myRank:\s*{[^}]*?)rank:\s*\d+'
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content = re.sub(pattern, rf'\1rank: {current_student["班级排名"]}', content, flags=re.DOTALL)
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pattern = r'(dashboardStatistics\s*=\s*{[^}]*?ranking:\s*{[^}]*?myRank:\s*{[^}]*?)score:\s*\d+'
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content = re.sub(pattern, rf'\1score: {current_student["学分"]}', content, flags=re.DOTALL)
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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(f"✅ 已恢复 dashboardStatistics.ranking 为智能制造数据")
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print(f" - topStudents: {len(top_students)} 条数据")
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print(f" - 当前用户: {current_student['学员名称']} (第{current_student['班级排名']}名)")
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print(f" - 备份文件: mockData.js.backup_{backup_time}_restore")
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if __name__ == "__main__":
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print("🚀 开始恢复班级排名数据为智能制造数据...")
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update_dashboard_statistics()
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print("🎉 恢复完成！") |