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ALL-teach_sys/frontend_大健康/update_flat_interview_questions.py

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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
生成符合前端期望的扁平化面试题数据
前端组件期望的数据结构
questions: [
{ id: "q1", question: "问题内容", answer: "答案内容" },
{ id: "q2", question: "问题内容", answer: "答案内容" }
]
"""
import json
import re
import sys
from datetime import datetime
def load_health_resume_data():
"""加载大健康岗位简历数据"""
try:
with open('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:
return json.load(f)
except Exception as e:
print(f"Error loading health resume data: {e}")
return None
def parse_interview_content_to_flat_array(content):
"""解析面试题内容,转换为扁平的问答数组"""
if not content:
return []
questions = []
# 按大标题分割(# 一、二、三等)
if content.startswith('# '):
content = '\n' + content
sections = re.split(r'\n# ([一二三四五六七八九十]+、[^#\n]+)', content)
if len(sections) < 2:
return []
question_counter = 1
for i in range(1, len(sections), 2):
if i + 1 < len(sections):
section_title = sections[i].strip()
section_content = sections[i + 1].strip()
# 按问题编号分割 (1. 2. 3. 等)
question_parts = re.split(r'\n\s*(\d+\.)\s+', section_content)
for j in range(1, len(question_parts), 2):
if j + 1 < len(question_parts):
question_block = question_parts[j + 1].strip()
# 提取问题和答案
lines = question_block.split('\n')
question_text = ""
answer_text = ""
in_answer = False
for line in lines:
line = line.strip()
if line.startswith('示例答案:'):
in_answer = True
continue
if not in_answer and line and not line.startswith('示例答案:'):
if question_text:
question_text += " "
question_text += line
elif in_answer and line:
if answer_text:
answer_text += " "
answer_text += line
if question_text:
questions.append({
"id": f"q{question_counter}",
"question": question_text,
"answer": answer_text
})
question_counter += 1
return questions
def update_interview_questions():
"""更新面试题为扁平化数据"""
try:
# 加载大健康数据
health_data = load_health_resume_data()
if not health_data:
print("Failed to load health resume data")
return False
# 读取现有文件
with open('src/mocks/resumeInterviewMock.js', 'r', encoding='utf-8') as f:
content = f.read()
# 创建岗位到面试题的映射
position_to_questions = {}
for item in health_data:
position_name = item.get('岗位名称', '')
interview_content = item.get('面试题内容', '')
if position_name and interview_content:
questions = parse_interview_content_to_flat_array(interview_content)
position_to_questions[position_name] = questions
print(f"解析了 {len(position_to_questions)} 个岗位的面试题")
# 更新每个岗位的面试题
updated_content = content
update_count = 0
for position_name, questions in position_to_questions.items():
if not questions:
continue
# 将questions数组转换为JavaScript格式的字符串
questions_js_parts = []
for q in questions:
q_text = q['question'].replace('"', '\\"')
a_text = q['answer'].replace('"', '\\"')
question_js = ''' {
"id": "%s",
"question": "%s",
"answer": "%s"
}''' % (q['id'], q_text, a_text)
questions_js_parts.append(question_js)
questions_js = '''[
%s
]''' % ',\n'.join(questions_js_parts)
# 查找该岗位并更新面试题
# 先尝试替换现有的questions字段
pattern = rf'"title": "{re.escape(position_name)}",[^}}]+?"questions": \[[^\]]*?\]'
def replace_questions(match):
matched_text = match.group(0)
return re.sub(r'"questions": \[[^\]]*?\]', f'"questions": {questions_js}', matched_text, flags=re.DOTALL)
new_content = re.sub(pattern, replace_questions, updated_content, flags=re.DOTALL)
if new_content != updated_content:
updated_content = new_content
update_count += 1
print(f"✅ 更新 {position_name} 的面试题 ({len(questions)} 个问题)")
else:
# 如果没有questions字段则添加
pattern2 = rf'"title": "{re.escape(position_name)}",[^}}]+?"requirements": \[[^\]]*?\]'
def add_questions(match):
matched_text = match.group(0)
return matched_text + ',\n "questions": ' + questions_js
new_content2 = re.sub(pattern2, add_questions, updated_content, flags=re.DOTALL)
if new_content2 != updated_content:
updated_content = new_content2
update_count += 1
print(f"✅ 添加 {position_name} 的面试题 ({len(questions)} 个问题)")
# 写回文件
with open('src/mocks/resumeInterviewMock.js', 'w', encoding='utf-8') as f:
f.write(updated_content)
print(f"\n🎉 成功更新 {update_count} 个岗位的扁平化面试题数据!")
return True
except Exception as e:
print(f"Error updating interview questions: {e}")
import traceback
traceback.print_exc()
return False
def main():
"""主函数"""
print("开始生成符合前端期望的扁平化面试题数据...")
success = update_interview_questions()
if success:
print("扁平化面试题数据更新完成!")
else:
print("面试题数据更新失败!")
return success
if __name__ == "__main__":
main()