a7242f0c69
- 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>
50 lines
1.7 KiB
Python
50 lines
1.7 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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import json
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from collections import defaultdict
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# 读取大健康项目案例数据
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with open('网页未导入数据/大健康产业/大健康项目案例.json', 'r', encoding='utf-8') as f:
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health_data = json.load(f)
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# 按单元分组项目
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unit_projects = defaultdict(set)
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for item in health_data:
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project_name = item.get("案例名称", "")
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# 收集复合能力课单元
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compound_units = item.get("对应单元名称（复合能力课）", "")
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if compound_units:
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for unit in compound_units.split(","):
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unit = unit.strip()
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if unit:
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unit_projects[unit].add(project_name)
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# 收集垂直能力课单元
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vertical_units = item.get("对应单元名称（垂直能力课）", "")
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if vertical_units:
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for unit in vertical_units.split(","):
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unit = unit.strip()
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if unit:
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unit_projects[unit].add(project_name)
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# 生成我的项目库数据结构
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my_projects_data = []
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for unit_name, projects in sorted(unit_projects.items()):
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# 只选择有2个以上项目的单元，最多取前2个项目
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project_list = sorted(list(projects))[:2]
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if len(project_list) >= 1: # 至少有1个项目的单元才显示
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my_projects_data.append({
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"unitName": unit_name,
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"projects": project_list
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})
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# 只取前10个单元用于展示
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my_projects_data = my_projects_data[:10]
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# 生成JavaScript代码
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print("// 我的项目库数据 - 大健康产业")
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print("const myProjectsData = " + json.dumps(my_projects_data, ensure_ascii=False, indent=2) + ";")
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print(f"\n// 共{len(my_projects_data)}个单元") |