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>
222 lines
9.0 KiB
Python
222 lines
9.0 KiB
Python
#!/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_questions(content):
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"""解析面试题内容为结构化数据"""
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questions = []
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# 分割成不同的问题类别
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sections = re.split(r'\n# ([一二三四五六七八九十]+、[^#\n]+)', content)
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question_id = 1
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for i in range(1, len(sections), 2):
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if i >= len(sections):
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break
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section_title = sections[i].strip()
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section_content = sections[i + 1] if i + 1 < len(sections) else ""
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# 提取每个问题
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question_blocks = re.split(r'\n\d+\.\s+', section_content)
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for j, block in enumerate(question_blocks[1:], 1): # 跳过第一个空块
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lines = block.strip().split('\n')
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if not lines:
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continue
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question_text = lines[0].strip()
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# 查找答案
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answer_text = ""
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for k, line in enumerate(lines):
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if '示例答案' in line or '答案' in line:
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# 获取答案内容
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answer_lines = []
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for answer_line in lines[k+1:]:
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answer_line = answer_line.strip()
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if answer_line and not answer_line.startswith('示例答案'):
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if re.match(r'^\d+\.', answer_line):
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break
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answer_lines.append(answer_line)
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answer_text = ' '.join(answer_lines)
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break
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if question_text and answer_text:
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questions.append({
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"id": f"q{question_id}",
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"question": question_text,
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"answer": answer_text
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})
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question_id += 1
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return questions
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def main():
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# 读取大健康岗位简历数据
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with open('/Users/apple/Documents/cursor/教务系统/frontend_大健康/网页未导入数据/大健康产业/大健康岗位简历.json', 'r', encoding='utf-8') as f:
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health_data = json.load(f)
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# 读取Mock文件，移除重复的岗位群
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with open('/Users/apple/Documents/cursor/教务系统/frontend_大健康/src/mocks/resumeInterviewMock.js', 'r', encoding='utf-8') as f:
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content = f.read()
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# 找到industries数组
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match = re.search(r'const industries = \[(.*?)\];', content, re.DOTALL)
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if not match:
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print("未找到industries数组")
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return
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industries_content = match.group(1)
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# 解析每个岗位群
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industry_blocks = re.findall(r'\{[^}]*?"id":\s*"health_\d+"[^}]*?"positions":\s*\[[^\]]*?\][^}]*?\}', industries_content, re.DOTALL)
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# 去重并保留第一个出现的
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seen_ids = set()
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unique_blocks = []
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for block in industry_blocks:
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id_match = re.search(r'"id":\s*"(health_\d+)"', block)
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if id_match:
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industry_id = id_match.group(1)
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if industry_id not in seen_ids:
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seen_ids.add(industry_id)
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unique_blocks.append(block)
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print(f"找到 {len(industry_blocks)} 个岗位群块，去重后剩余 {len(unique_blocks)} 个")
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# 为每个岗位群添加面试题
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industry_questions = {}
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for item in health_data:
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industry = item.get('简历岗位群', '')
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interview_content = item.get('面试题内容', '')
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if industry and interview_content and industry not in industry_questions:
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questions = parse_interview_questions(interview_content)
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if questions:
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# 按类别分组
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category_questions = {}
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current_category = "综合面试题"
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for q in questions:
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if '岗位理解' in q['question']:
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current_category = "岗位理解类问题"
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elif '实践经验' in q['question'] or '案例' in q['question']:
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current_category = "实践经验类问题"
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elif '客户服务' in q['question'] or '客户' in q['question']:
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current_category = "客户服务类问题"
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elif '市场' in q['question'] or '趋势' in q['question']:
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current_category = "市场与未来趋势类问题"
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elif '技术' in q['question'] or '专业' in q['question']:
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current_category = "专业技术类问题"
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elif '团队' in q['question'] or '协作' in q['question']:
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current_category = "团队协作类问题"
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if current_category not in category_questions:
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category_questions[current_category] = []
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category_questions[current_category].append(q)
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# 构建questions数组
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questions_array = []
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cat_id = 1
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for category, cat_questions in category_questions.items():
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questions_array.append({
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"id": f"group_q{cat_id}",
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"question": category,
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"subQuestions": cat_questions
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})
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cat_id += 1
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industry_questions[industry] = questions_array
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# 映射岗位群名称到ID
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industry_mapping = {
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'健康管理': 'health_1',
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'健康检查': 'health_2',
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'康复治疗': 'health_3',
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'慢性病管理': 'health_4',
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'轻医美': 'health_5',
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'心理健康': 'health_6',
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'社群运营': 'health_7',
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'药品供应链管理': 'health_8',
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'药品生产': 'health_9',
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'药品质量检测': 'health_10',
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'药物研发': 'health_11'
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}
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# 更新每个岗位群块，添加questions字段
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updated_blocks = []
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for block in unique_blocks:
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# 获取岗位群名称
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name_match = re.search(r'"name":\s*"([^"]+)"', block)
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id_match = re.search(r'"id":\s*"(health_\d+)"', block)
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if name_match and id_match:
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industry_name = name_match.group(1)
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industry_id = id_match.group(1)
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# 查找对应的面试题
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questions = None
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for orig_name, mapped_id in industry_mapping.items():
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if mapped_id == industry_id and orig_name in industry_questions:
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questions = industry_questions[orig_name]
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break
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# 如果没找到，使用默认面试题
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if not questions:
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questions = [{
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"id": "group_q1",
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"question": f"{industry_name}专业认知",
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"subQuestions": [
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{
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"id": "q1",
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"question": f"你如何理解{industry_name}的核心价值？",
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"answer": f"{industry_name}的核心价值在于通过专业技能和知识，为企业和客户创造价值，推动行业发展。"
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},
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{
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"id": "q2",
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"question": f"{industry_name}中最重要的能力是什么？",
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"answer": "专业技能、沟通能力、团队协作和持续学习能力都是非常重要的。"
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},
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{
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"id": "q3",
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"question": f"你为什么选择{industry_name}这个方向？",
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"answer": "我对这个领域充满热情，相信能够在这里发挥我的专业优势，为行业发展做出贡献。"
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}
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]
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}]
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# 在positions数组后添加questions字段
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if '"questions"' not in block:
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# 找到positions数组的结束位置
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pos_end = block.rfind(']')
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if pos_end > 0:
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questions_json = json.dumps(questions, ensure_ascii=False, indent=4)
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# 调整缩进
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questions_json = questions_json.replace('\n', '\n ')
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new_block = block[:pos_end+1] + ',\n "questions": ' + questions_json + block[pos_end+1:]
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updated_blocks.append(new_block)
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print(f" ✓ 为 {industry_name} ({industry_id}) 添加了面试题")
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else:
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updated_blocks.append(block)
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else:
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updated_blocks.append(block)
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else:
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updated_blocks.append(block)
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# 重新构建industries数组
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new_industries = 'const industries = [\n ' + ',\n '.join(updated_blocks) + '\n];'
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# 替换原内容
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new_content = content[:content.index('const industries')] + new_industries + content[content.index('];', content.index('const industries')) + 2:]
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# 写回文件
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with open('/Users/apple/Documents/cursor/教务系统/frontend_大健康/src/mocks/resumeInterviewMock.js', 'w', encoding='utf-8') as f:
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f.write(new_content)
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print(f"\n完成！处理了 {len(updated_blocks)} 个岗位群")
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if __name__ == "__main__":
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main() |