#!/usr/bin/env python3 # -*- coding: utf-8 -*- import json import re def parse_interview_content(content): """解析面试题内容，提取问题和答案""" questions = [] # 按照 "问题：" 分割内容 parts = re.split(r'\n\s*\d+\.\s*问题[：:]\s*', content) for i, part in enumerate(parts): if i == 0: # 跳过第一个部分（通常是标题） continue lines = part.strip().split('\n') if not lines: continue # 第一行是问题 question_text = lines[0].strip() # 查找答案部分 answer_lines = [] in_answer = False for line in lines[1:]: line = line.strip() if line.startswith('参考回答') or line.startswith('答案'): in_answer = True continue elif line.startswith('问题') or (line and line[0].isdigit() and '问题' in line): break elif in_answer and line: answer_lines.append(line) answer_text = '\\n'.join(answer_lines).strip() if question_text and answer_text: questions.append({ "id": f"q_{i}", "question": question_text, "answer": answer_text, "difficulty": "中等", "tags": ["专业技能", "实践经验"] }) return questions def create_new_mock_data(): """重新创建完整的mock数据""" # 读取视觉设计原始数据 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: visual_data = json.load(f) # 按岗位群分组 position_groups = {} interview_groups = {} for position in visual_data: group_name = position['简历岗位群'] # 收集岗位数据 if group_name not in position_groups: position_groups[group_name] = [] position_groups[group_name].append(position) # 收集面试题数据 if group_name not in interview_groups: interview_detail = position.get('面试题内容', '') if interview_detail: questions = parse_interview_content(interview_detail) interview_groups[group_name] = questions # 创建industries数据 industries = [] for group_id, (group_name, positions) in enumerate(position_groups.items()): # 创建positions数据 industry_positions = [] for pos_id, position in enumerate(positions): level = position.get('岗位等级标签', '普通岗') 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', '').split(',')[0], "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) # 创建面试题数据 interview_questions = interview_groups.get(group_name, []) if not interview_questions: # 默认面试题 interview_questions = [ { "id": f"q_default_1", "question": f"{group_name}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，确保项目质量和进度。", "difficulty": "基础", "tags": ["专业认知", "岗位职责"] } ] questions_data = { "id": f"group_q{group_id + 1}", "question": f"# 一、专业能力与行业认知", "subQuestions": interview_questions } # 创建industry对象 industry = { "id": f"visual_design_{group_id + 1}", "name": group_name, "positions": industry_positions, "questions": [questions_data] } industries.append(industry) return industries def create_resume_templates(): """创建简历模板数据""" 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: visual_data = json.load(f) templates = {} position_groups = {} # 按岗位群分组 for position in visual_data: group_name = position['简历岗位群'] if group_name not in position_groups: position_groups[group_name] = [] position_groups[group_name].append(position) # 为每个岗位群创建模板 for group_name, positions in position_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', '').split(',')[0] }, "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 main(): print("🚀 重新生成完整的面试题数据...") # 创建备份 import shutil from datetime import datetime backup_name = f"src/mocks/resumeInterviewMock.js.backup_fix_{datetime.now().strftime('%Y%m%d_%H%M%S')}" shutil.copy('src/mocks/resumeInterviewMock.js', backup_name) print(f"📦 已创建备份: {backup_name}") # 重新创建数据 industries = create_new_mock_data() resume_templates = create_resume_templates() # 创建完整的mock数据 my_resume = { "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" } # 生成新的JS文件内容 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(my_resume, 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("✅ 已重新生成 resumeInterviewMock.js") print(f"\\n📊 数据统计:") print(f" - 岗位群数量: {len(industries)}") print(f" - 岗位总数: {sum(len(industry['positions']) for industry in industries)}") # 显示每个岗位群的面试题数量 for industry in industries: group_name = industry['name'] question_count = len(industry['questions'][0]['subQuestions']) print(f" - {group_name}: {question_count} 道面试题") if __name__ == "__main__": main()