195 lines
8.0 KiB
Python
195 lines
8.0 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_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，跳过"示例答案："这一行
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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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# 如果遇到下一个问题的编号，停止
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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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# 读取现有的Mock数据
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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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mock_content = f.read()
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# 创建岗位群到面试题的映射
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industry_questions = {}
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# 遍历所有岗位数据，提取面试题
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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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# 解析面试题内容
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questions = parse_interview_questions(interview_content)
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if questions:
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industry_questions[industry] = questions
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# 构建更新的JavaScript代码
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updates = []
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# 为每个岗位群生成面试题数据
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for industry, questions in industry_questions.items():
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# 映射岗位群名称
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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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}
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if industry in industry_mapping:
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industry_id = industry_mapping[industry]
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# 生成面试题的JavaScript代码
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# 按照前端期望的格式：questions数组包含分类，每个分类有subQuestions
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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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# 检查是否是新的分类（通过问题中的关键词判断）
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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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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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updates.append({
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'industry_id': industry_id,
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'industry_name': industry,
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'questions': questions_array
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})
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# 更新Mock文件
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print(f"准备更新 {len(updates)} 个岗位群的面试题...")
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for update in updates:
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print(f"更新岗位群: {update['industry_name']} (ID: {update['industry_id']})")
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print(f" - 包含 {len(update['questions'])} 个问题分类")
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total_questions = sum(len(q['subQuestions']) for q in update['questions'])
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print(f" - 共计 {total_questions} 个面试题")
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# 查找并替换对应岗位群的questions数组
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# 使用更精确的正则表达式查找对应的industry块
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pattern = rf'(\s*"id":\s*"{update["industry_id"]}"[^}}]*?"questions":\s*)\[[^\]]*?\](\s*\}})'
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# 生成新的questions数组字符串
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questions_json = json.dumps(update['questions'], ensure_ascii=False, indent=6)
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# 调整第一行的缩进
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questions_json = questions_json.lstrip()
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replacement = rf'\1{questions_json}\2'
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# 执行替换
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new_content, count = re.subn(pattern, replacement, mock_content, flags=re.DOTALL)
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if count > 0:
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mock_content = new_content
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print(f" ✓ 成功更新")
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else:
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# 尝试另一种模式（可能questions在positions数组之后）
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pattern2 = rf'("id":\s*"{update["industry_id"]}"[^}}]*?)(\n\s*\}})'
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# 检查是否已经有questions字段
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if f'"id": "{update["industry_id"]}"' in mock_content:
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# 找到对应的industry块，在positions后添加questions
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industry_block = re.search(rf'"id":\s*"{update["industry_id"]}"[^{{]*?\{{[^}}]*?\]\s*(?:,\s*"questions"[^}}]*?\])?', mock_content, re.DOTALL)
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if industry_block:
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block_text = industry_block.group(0)
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if '"questions"' not in block_text:
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# 需要在positions数组后添加questions
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pattern3 = rf'("id":\s*"{update["industry_id"]}"[^}}]*?\])\s*(\}})'
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questions_json = json.dumps(update['questions'], ensure_ascii=False, indent=6)
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questions_json = questions_json.lstrip()
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replacement3 = rf'\1,\n "questions": {questions_json}\n \2'
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new_content, count = re.subn(pattern3, replacement3, mock_content)
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if count > 0:
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mock_content = new_content
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print(f" ✓ 成功添加questions字段")
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else:
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print(f" ⚠ 未找到合适的位置添加questions: {update['industry_id']}")
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else:
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print(f" ⚠ 未找到匹配的岗位群ID: {update['industry_id']}")
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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(mock_content)
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print("\n面试题数据更新完成！")
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if __name__ == "__main__":
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main()
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