248 lines
8.4 KiB
Python
248 lines
8.4 KiB
Python
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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import json
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import re
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def parse_interview_content(content):
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"""解析面试题内容，提取问题和答案"""
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questions = []
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# 按照 "问题：" 分割内容
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parts = re.split(r'\n\s*\d+\.\s*问题[：:]\s*', content)
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for i, part in enumerate(parts):
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if i == 0: # 跳过第一个部分（通常是标题）
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continue
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lines = part.strip().split('\n')
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if not lines:
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continue
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# 第一行是问题
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question_text = lines[0].strip()
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# 查找答案部分
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answer_lines = []
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in_answer = False
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for line in lines[1:]:
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line = line.strip()
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if line.startswith('参考回答') or line.startswith('答案'):
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in_answer = True
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continue
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elif line.startswith('问题') or (line and line[0].isdigit() and '问题' in line):
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break
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elif in_answer and line:
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answer_lines.append(line)
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answer_text = '\\n'.join(answer_lines).strip()
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if question_text and answer_text:
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questions.append({
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"id": f"q_{i}",
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"question": question_text,
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"answer": answer_text,
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"difficulty": "中等",
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"tags": ["专业技能", "实践经验"]
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})
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return questions
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def create_new_mock_data():
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"""重新创建完整的mock数据"""
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# 读取视觉设计原始数据
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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:
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visual_data = json.load(f)
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# 按岗位群分组
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position_groups = {}
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interview_groups = {}
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for position in visual_data:
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group_name = position['简历岗位群']
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# 收集岗位数据
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if group_name not in position_groups:
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position_groups[group_name] = []
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position_groups[group_name].append(position)
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# 收集面试题数据
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if group_name not in interview_groups:
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interview_detail = position.get('面试题内容', '')
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if interview_detail:
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questions = parse_interview_content(interview_detail)
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interview_groups[group_name] = questions
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# 创建industries数据
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industries = []
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for group_id, (group_name, positions) in enumerate(position_groups.items()):
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# 创建positions数据
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industry_positions = []
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for pos_id, position in enumerate(positions):
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level = position.get('岗位等级标签', '普通岗')
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pos_obj = {
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"id": f"visual_design_{group_id + 1}_{pos_id + 1}",
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"title": position['岗位名称'],
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"level": level,
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"avatar": position.get('简历头像url', '').split(',')[0],
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"department": group_name,
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"type": "全职",
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"experience": "1-3年",
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"education": "大专",
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"salary": "6-12K",
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"location": "苏州",
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"updateTime": "2024-01-20",
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"description": f"负责{position['岗位名称']}相关工作",
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"requirements": [
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f"具备{group_name}专业技能",
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"熟悉相关设计软件",
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"具备良好的沟通协作能力",
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"有创新意识和学习能力"
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]
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}
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industry_positions.append(pos_obj)
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# 创建面试题数据
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interview_questions = interview_groups.get(group_name, [])
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if not interview_questions:
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# 默认面试题
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interview_questions = [
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{
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"id": f"q_default_1",
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"question": f"{group_name}岗位的核心职责是什么？",
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"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。",
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"difficulty": "基础",
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"tags": ["专业认知", "岗位职责"]
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}
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]
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questions_data = {
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"id": f"group_q{group_id + 1}",
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"question": f"# 一、专业能力与行业认知",
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"subQuestions": interview_questions
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}
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# 创建industry对象
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industry = {
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"id": f"visual_design_{group_id + 1}",
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"name": group_name,
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"positions": industry_positions,
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"questions": [questions_data]
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}
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industries.append(industry)
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return industries
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def create_resume_templates():
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"""创建简历模板数据"""
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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:
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visual_data = json.load(f)
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templates = {}
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position_groups = {}
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# 按岗位群分组
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for position in visual_data:
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group_name = position['简历岗位群']
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if group_name not in position_groups:
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position_groups[group_name] = []
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position_groups[group_name].append(position)
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# 为每个岗位群创建模板
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for group_name, positions in position_groups.items():
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templates[group_name] = []
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for position in positions:
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template = {
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"id": f"resume_{len(templates[group_name]) + 1}",
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"position": position['岗位名称'],
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"level": position.get('岗位等级标签', '普通岗'),
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"industry": group_name,
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"studentInfo": {
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"name": "张小同",
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"gender": "女",
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"age": 22,
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"education": "大专",
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"major": "数字媒体艺术设计",
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"avatar": position.get('简历头像url', '').split(',')[0]
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},
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"content": {
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"original": position.get('简历内容', ''),
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"modified": position.get('简历内容', '')
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},
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"interviewQuestions": position.get('面试题内容', '')
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}
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templates[group_name].append(template)
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return templates
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def main():
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print("🚀 重新生成完整的面试题数据...")
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# 创建备份
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import shutil
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from datetime import datetime
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backup_name = f"src/mocks/resumeInterviewMock.js.backup_fix_{datetime.now().strftime('%Y%m%d_%H%M%S')}"
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shutil.copy('src/mocks/resumeInterviewMock.js', backup_name)
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print(f"📦 已创建备份: {backup_name}")
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# 重新创建数据
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industries = create_new_mock_data()
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resume_templates = create_resume_templates()
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# 创建完整的mock数据
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my_resume = {
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"name": "张小同",
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"studentId": "2024001",
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"major": "数字媒体艺术设计",
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"education": "大专",
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"avatar": "https://ddcz-1315997005.cos.ap-nanjing.myqcloud.com/static/img/butler_position_avatar/default_student.jpeg"
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}
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# 生成新的JS文件内容
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js_content = f"""// 简历与面试题Mock数据
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// 岗位群列表
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const industries = {json.dumps(industries, ensure_ascii=False, indent=2)};
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// 简历模板数据
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const resumeTemplates = {json.dumps(resume_templates, ensure_ascii=False, indent=2)};
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// 我的简历数据
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const myResume = {json.dumps(my_resume, ensure_ascii=False, indent=2)};
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// 获取页面数据
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export const getMockPageData = () => {{
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return {{
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industries,
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resumeTemplates,
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myResume
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}};
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}};
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// 导出各个数据模块
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export {{ industries, resumeTemplates, myResume }};
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"""
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# 写入文件
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with open('src/mocks/resumeInterviewMock.js', 'w', encoding='utf-8') as f:
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f.write(js_content)
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print("✅ 已重新生成 resumeInterviewMock.js")
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print(f"\\n📊 数据统计:")
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print(f" - 岗位群数量: {len(industries)}")
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print(f" - 岗位总数: {sum(len(industry['positions']) for industry in industries)}")
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# 显示每个岗位群的面试题数量
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for industry in industries:
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group_name = industry['name']
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question_count = len(industry['questions'][0]['subQuestions'])
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print(f" - {group_name}: {question_count} 道面试题")
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if __name__ == "__main__":
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main()
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