主要内容: - 包含12个产业的完整教务系统前端代码 - 智能启动脚本 (start-industry.sh) - 可视化产业导航页面 (index.html) - 项目文档 (README.md) 优化内容: - 删除所有node_modules和.yoyo文件夹,从7.5GB减少到2.7GB - 添加.gitignore文件避免上传不必要的文件 - 自动依赖管理和智能启动系统 产业列表: 1. 文旅产业 (5150) 2. 智能制造 (5151) 3. 智能开发 (5152) 4. 财经商贸 (5153) 5. 视觉设计 (5154) 6. 交通物流 (5155) 7. 大健康 (5156) 8. 土木水利 (5157) 9. 食品产业 (5158) 10. 化工产业 (5159) 11. 能源产业 (5160) 12. 环保产业 (5161) 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
190 lines
6.6 KiB
Python
190 lines
6.6 KiB
Python
#!/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() |