82 lines
2.7 KiB
Python
82 lines
2.7 KiB
Python
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import json
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import re
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# 读取学生完成的项目数据
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with open('网页未导入数据/学生完成的项目.json', 'r', encoding='utf-8') as f:
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student_projects = json.load(f)
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# 只提取食品产业的项目
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food_projects_by_unit = {}
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all_food_projects = []
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print("正在分析食品产业项目...")
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for item in student_projects:
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industry = item.get('所属就业管家', '')
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unit_name = item.get('单元名称查询', '')
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projects = item.get('AI项目名称', [])
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# 只处理食品产业的数据
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if industry == '食品':
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print(f"\n找到食品产业单元: {unit_name}")
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# 清理项目名称（去掉序号）
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cleaned_projects = []
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for project in projects:
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if project: # 跳过空项目
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cleaned_project = re.sub(r'^\d+\.', '', project).strip()
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cleaned_projects.append(cleaned_project)
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print(f" - {cleaned_project}")
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if cleaned_projects:
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food_projects_by_unit[unit_name] = cleaned_projects
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for project in cleaned_projects:
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all_food_projects.append({
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'project': project,
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'unit': unit_name,
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'industry': industry
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})
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print(f"\n总共找到 {len(all_food_projects)} 个食品产业项目")
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print(f"涉及 {len(food_projects_by_unit)} 个食品产业单元")
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# 生成JavaScript代码
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js_content = '''// 我的项目库数据 - 食品产业专版
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const myProjectsData = [
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'''
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total_projects = 0
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for unit_name, projects in food_projects_by_unit.items():
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js_content += f' {{\n'
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js_content += f' "unitName": "{unit_name}",\n'
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js_content += f' "projects": [\n'
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for project in projects:
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js_content += f' "{project}",\n'
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total_projects += 1
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# 移除最后的逗号
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js_content = js_content.rstrip(',\n') + '\n'
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js_content += f' ]\n'
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js_content += f' }},\n'
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# 移除最后的逗号并闭合数组
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js_content = js_content.rstrip(',\n') + '\n'
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js_content += '];'
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print(f"\n生成的JavaScript代码：")
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print(js_content)
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# 保存到文件
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with open('my_projects_data_food_only.js', 'w', encoding='utf-8') as f:
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f.write(js_content)
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print(f"\n已保存到 my_projects_data_food_only.js")
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# 统计信息
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print(f"\n食品产业统计信息：")
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print(f" 总单元数: {len(food_projects_by_unit)}")
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print(f" 总项目数: {total_projects}")
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print(f" 各单元项目数:")
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for unit, projects in food_projects_by_unit.items():
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print(f" {unit}: {len(projects)} 个项目")
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print(f"\n唯一可查看项目: 儿童一周营养配餐食谱编制方案（在营养配餐与健康管理单元中）")
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