Initial commit: 教务系统在线平台

- 包含4个产业方向的前端项目：智能开发、智能制造、大健康、财经商贸
- 已清理node_modules、.yoyo等大文件，项目大小从2.6GB优化至631MB
- 配置完善的.gitignore文件

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

frontend_智能制造/update_joblevel_json.py

@@ -0,0 +1,101 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+
+import json
+from datetime import datetime
+
+# 读取岗位等级数据
+def load_job_levels():
+    with open('网页未导入数据/文旅产业/岗位等级.json', 'r', encoding='utf-8') as f:
+        data = json.load(f)
+    
+    # 创建岗位名称到等级的映射
+    job_levels_map = {}
+    for item in data:
+        job_name = item['❌岗位名称']
+        level = item['前端查询名称']
+        job_levels_map[job_name] = level
+    
+    return job_levels_map
+
+# 读取当前的joblevel.json
+def load_current_joblevel():
+    with open('src/data/joblevel.json', 'r', encoding='utf-8') as f:
+        return json.load(f)
+
+# 重新整理joblevel.json
+def reorganize_joblevel():
+    # 备份原文件
+    backup_path = f'src/data/joblevel.json.backup_{datetime.now().strftime("%Y%m%d_%H%M%S")}'
+    with open('src/data/joblevel.json', 'r', encoding='utf-8') as f:
+        original_data = json.load(f)
+    with open(backup_path, 'w', encoding='utf-8') as f:
+        json.dump(original_data, f, ensure_ascii=False, indent=4)
+    print(f"已备份: {backup_path}")
+    
+    # 加载岗位等级映射
+    job_levels_map = load_job_levels()
+    
+    # 收集所有岗位信息
+    all_positions = []
+    for level_key, level_data in original_data['data'].items():
+        for position in level_data['list']:
+            all_positions.append(position)
+    
+    # 按新的等级重新分组
+    new_data = {
+        "code": 200,
+        "message": "操作成功",
+        "data": {
+            "high": {
+                "name": "储备干部岗",
+                "list": []
+            },
+            "middle": {
+                "name": "技术骨干岗",
+                "list": []
+            },
+            "ordinary": {
+                "name": "普通岗",
+                "list": []
+            }
+        }
+    }
+    
+    # 分配岗位到正确的等级
+    unmatched_positions = []
+    for position in all_positions:
+        position_name = position['position_name']
+        if position_name in job_levels_map:
+            level = job_levels_map[position_name]
+            if level == "储备干部岗":
+                new_data['data']['high']['list'].append(position)
+            elif level == "技术骨干岗":
+                new_data['data']['middle']['list'].append(position)
+            elif level == "普通岗":
+                new_data['data']['ordinary']['list'].append(position)
+            print(f"分配: {position_name} -> {level}")
+        else:
+            # 对于未匹配的岗位，保持原有等级或默认为普通岗
+            unmatched_positions.append(position)
+            print(f"未找到匹配: {position_name}")
+    
+    # 将未匹配的岗位添加到普通岗
+    for position in unmatched_positions:
+        new_data['data']['ordinary']['list'].append(position)
+        print(f"默认分配到普通岗: {position['position_name']}")
+    
+    # 写回文件
+    with open('src/data/joblevel.json', 'w', encoding='utf-8') as f:
+        json.dump(new_data, f, ensure_ascii=False, indent=4)
+    
+    # 统计结果
+    print("\n" + "=" * 50)
+    print("重新整理完成！")
+    print(f"储备干部岗: {len(new_data['data']['high']['list'])} 个岗位")
+    print(f"技术骨干岗: {len(new_data['data']['middle']['list'])} 个岗位")
+    print(f"普通岗: {len(new_data['data']['ordinary']['list'])} 个岗位")
+    print("=" * 50)
+
+if __name__ == "__main__":
+    reorganize_joblevel()