#!/usr/bin/env python3 # -*- coding: utf-8 -*- import json import re from datetime import datetime def load_visual_design_data(): """加载视觉设计岗位简历数据""" with open('网页未导入数据/视觉设计产业/视觉设计岗位简历.json', 'r', encoding='utf-8') as f: return json.load(f) def create_position_groups(visual_data): """根据岗位群对数据进行分组""" groups = {} for position in visual_data: group_name = position['简历岗位群'] if group_name not in groups: groups[group_name] = [] groups[group_name].append(position) return groups def convert_to_industries_format(position_groups): """转换为industries格式""" industries = [] for group_id, (group_name, positions) in enumerate(position_groups.items()): industry = { "id": f"visual_design_{group_id + 1}", "name": group_name, "positions": [], "questions": [{ "id": f"group_q{group_id + 1}", "question": f"# 一、专业能力与行业认知", "subQuestions": [{ "id": f"q{group_id + 1}_1", "question": f"{group_name}类岗位的核心职责是什么？", "answer": f"负责{group_name}相关工作，包括设计规划、创意实现、项目协作等。" }] }] } for pos_id, position in enumerate(positions): # 确定岗位等级 level = position.get('岗位等级标签', '普通岗') # 创建岗位对象 pos_obj = { "id": f"visual_design_{group_id + 1}_{pos_id + 1}", "title": position['岗位名称'], "level": level, "avatar": position.get('简历头像url', ''), "department": group_name, "type": "全职", "experience": "1-3年", "education": "大专", "salary": "6-12K", "location": "苏州", "updateTime": "2024-01-20", "description": f"负责{position['岗位名称']}相关工作", "requirements": [ f"具备{group_name}专业技能", "熟悉相关设计软件", "具备良好的沟通协作能力", "有创新意识和学习能力" ] } industry["positions"].append(pos_obj) industries.append(industry) return industries def create_resume_templates(visual_data): """创建简历模板数据""" templates = {} # 按岗位群分组 groups = create_position_groups(visual_data) for group_name, positions in groups.items(): templates[group_name] = [] for position in positions: template = { "id": f"resume_{len(templates[group_name]) + 1}", "position": position['岗位名称'], "level": position.get('岗位等级标签', '普通岗'), "industry": group_name, "studentInfo": { "name": "张小同", "gender": "女", "age": 22, "education": "大专", "major": "数字媒体艺术设计", "avatar": position.get('简历头像url', '') }, "content": { "original": position.get('简历内容', ''), "modified": position.get('简历内容', '') }, "interviewQuestions": position.get('面试题内容', '') } templates[group_name].append(template) return templates def create_joblevel_data(visual_data): """创建joblevel.json数据""" job_levels = { "储备干部岗": [], "技术骨干岗": [], "普通岗": [] } # 映射岗位等级 level_mapping = { "储备干部岗": "high", "技术骨干岗": "middle", "普通岗": "ordinary" } for i, position in enumerate(visual_data): level_name = position.get('岗位等级标签', '普通岗') job_data = { "record_id": f"visual_design_{i + 1}", "position_name": position['岗位名称'], "img": position.get('简历头像url', '') } if level_name in job_levels: job_levels[level_name].append(job_data) # 构建最终数据结构 result = { "code": 200, "message": "操作成功", "data": {} } for level_name, positions in job_levels.items(): level_key = level_mapping.get(level_name, "ordinary") result["data"][level_key] = { "name": level_name, "list": positions } return result def update_resume_interview_mock(industries, resume_templates): """更新resumeInterviewMock.js文件""" # 创建完整的mock数据结构 mock_data = { "industries": industries, "resumeTemplates": resume_templates, "myResume": { "name": "张小同", "studentId": "2024001", "major": "数字媒体艺术设计", "education": "大专", "avatar": "https://ddcz-1315997005.cos.ap-nanjing.myqcloud.com/static/img/butler_position_avatar/default_student.jpeg" } } # 读取原文件 with open('src/mocks/resumeInterviewMock.js', 'r', encoding='utf-8') as f: content = f.read() # 生成新的数据内容 js_content = f"""// 简历与面试题Mock数据 // 岗位群列表 const industries = {json.dumps(industries, ensure_ascii=False, indent=2)}; // 简历模板数据 const resumeTemplates = {json.dumps(resume_templates, ensure_ascii=False, indent=2)}; // 我的简历数据 const myResume = {json.dumps(mock_data['myResume'], ensure_ascii=False, indent=2)}; // 获取页面数据 export const getMockPageData = () => {{ return {{ industries, resumeTemplates, myResume }}; }}; // 导出各个数据模块 export {{ industries, resumeTemplates, myResume }}; """ # 写入文件 with open('src/mocks/resumeInterviewMock.js', 'w', encoding='utf-8') as f: f.write(js_content) print("✅ 已更新 resumeInterviewMock.js") def update_joblevel_json(joblevel_data): """更新joblevel.json文件""" with open('src/data/joblevel.json', 'w', encoding='utf-8') as f: json.dump(joblevel_data, f, ensure_ascii=False, indent=4) print("✅ 已更新 joblevel.json") def main(): print("🚀 开始更新视觉设计产业数据...") # 1. 加载视觉设计数据 print("📖 加载视觉设计岗位数据...") visual_data = load_visual_design_data() print(f" 共加载 {len(visual_data)} 个岗位") # 2. 创建岗位群分组 print("📝 创建岗位群分组...") position_groups = create_position_groups(visual_data) print(f" 共分为 {len(position_groups)} 个岗位群") for group_name, positions in position_groups.items(): print(f" - {group_name}: {len(positions)} 个岗位") # 3. 转换为industries格式 print("🔄 转换数据格式...") industries = convert_to_industries_format(position_groups) # 4. 创建简历模板数据 resume_templates = create_resume_templates(visual_data) # 5. 创建joblevel数据 joblevel_data = create_joblevel_data(visual_data) # 6. 更新文件 print("💾 更新文件...") update_resume_interview_mock(industries, resume_templates) update_joblevel_json(joblevel_data) print("🎉 数据更新完成！") print("\n📊 更新统计:") print(f" - 产业数量: {len(industries)}") print(f" - 岗位总数: {sum(len(industry['positions']) for industry in industries)}") print(f" - 简历模板: {sum(len(templates) for templates in resume_templates.values())}") if __name__ == "__main__": main()