Files
ALL-teach_sys/frontend_视觉设计/update_interview_questions_direct.py
KQL 38350dca36 更新12个教务系统并优化项目大小
主要更新:
- 更新所有12个产业的教务系统数据和功能
- 删除所有 node_modules 文件夹(节省3.7GB)
- 删除所有 .yoyo 缓存文件夹(节省1.2GB)
- 删除所有 dist 构建文件(节省55MB)

项目优化:
- 项目大小从 8.1GB 减少到 3.2GB(节省60%空间)
- 保留完整的源代码和配置文件
- .gitignore 已配置,防止再次提交大文件

启动脚本:
- start-industry.sh/bat/ps1 脚本会自动检测并安装依赖
- 首次启动时自动运行 npm install
- 支持单个或批量启动产业系统

🤖 Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 14:36:25 +08:00

109 lines
3.6 KiB
Python
Raw Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import json
import re
def load_visual_design_data():
"""加载视觉设计岗位简历数据"""
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:
return json.load(f)
def extract_questions_from_content(content):
"""从面试题内容中提取问题和答案,保留原始格式"""
questions = []
# 分割成三个部分:专业能力类、行为经历类、情景应变类
sections = re.split(r'#\s*[一二三]、\s*(专业能力类|行为经历类|情景应变类)', content)
current_section = "专业能力类"
for i in range(1, len(sections), 2):
if i < len(sections):
section_name = sections[i]
section_content = sections[i+1] if i+1 < len(sections) else ""
# 提取该部分的问题
pattern = r'(\d+)\.\s*问题[:]?\s*(.*?)(?:参考回答[:]?|回答[:]?)(.*?)(?=\d+\.\s*问题|$)'
matches = re.findall(pattern, section_content, re.DOTALL)
for match in matches:
q_num = match[0]
question_text = match[1].strip()
answer_text = match[2].strip()
# 保留答案中的换行和格式
questions.append({
"id": f"{section_name}_q{q_num}",
"question": question_text,
"answer": answer_text,
"category": section_name
})
return questions
def update_mock_file():
"""直接更新resumeInterviewMock.js文件"""
# 加载视觉设计数据
visual_data = load_visual_design_data()
# 读取mock文件
with open('src/mocks/resumeInterviewMock.js', 'r', encoding='utf-8') as f:
mock_content = f.read()
# 为每个岗位更新面试题
for item in visual_data:
position_name = item.get('岗位名称', '')
interview_content = item.get('面试题内容', '')
if not position_name or not interview_content:
continue
# 提取面试题
questions = extract_questions_from_content(interview_content)
if not questions:
continue
# 查找该岗位在mock文件中的位置
# 使用更精确的模式匹配
pattern = rf'(name:\s*["\']?{re.escape(position_name)}["\']?.*?questions:\s*\[)(.*?)(\])'
def replace_questions(match):
prefix = match.group(1)
suffix = match.group(3)
# 构建新的questions数组内容
questions_str = ""
for i, q in enumerate(questions[:10]): # 限制最多10个问题
if i > 0:
questions_str += ",\n "
# 转义问题和答案中的特殊字符
question_escaped = q['question'].replace('"', '\\"').replace('\n', '\\n')
answer_escaped = q['answer'].replace('"', '\\"').replace('\n', '\\n')
questions_str += f'''{{
"id": "{q['id']}",
"question": "{question_escaped}",
"answer": "{answer_escaped}"
}}'''
return prefix + "\n " + questions_str + "\n " + suffix
# 尝试替换
new_content = re.sub(pattern, replace_questions, mock_content, flags=re.DOTALL)
if new_content != mock_content:
mock_content = new_content
print(f"已更新岗位:{position_name}")
# 写回文件
with open('src/mocks/resumeInterviewMock.js', 'w', encoding='utf-8') as f:
f.write(mock_content)
print("更新完成!")
if __name__ == '__main__':
update_mock_file()