38350dca36
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>
119 lines
3.9 KiB
Python
119 lines
3.9 KiB
Python
#!/usr/bin/env python3
|
||
# -*- coding: utf-8 -*-
|
||
import re
|
||
import json
|
||
from datetime import datetime
|
||
|
||
# 读取mock文件
|
||
with open('src/mocks/resumeInterviewMock.js', 'r', encoding='utf-8') as f:
|
||
content = f.read()
|
||
|
||
# 备份原文件
|
||
backup_time = datetime.now().strftime('%Y%m%d_%H%M%S')
|
||
with open(f'src/mocks/resumeInterviewMock.js.backup_{backup_time}', 'w', encoding='utf-8') as f:
|
||
f.write(content)
|
||
print(f"已创建备份文件: src/mocks/resumeInterviewMock.js.backup_{backup_time}")
|
||
|
||
def process_questions_array(questions_str):
|
||
"""处理questions数组，将多个section合并成一个"""
|
||
|
||
# 提取所有的subQuestions
|
||
all_questions = []
|
||
|
||
# 找到所有的subQuestions数组
|
||
pattern = r'"subQuestions":\s*\[(.*?)\]'
|
||
matches = re.finditer(pattern, questions_str, re.DOTALL)
|
||
|
||
question_counter = 1
|
||
for match in matches:
|
||
sub_questions_content = match.group(1)
|
||
|
||
# 提取每个问题和答案
|
||
q_pattern = r'"question":\s*"([^"\\]*(?:\\.[^"\\]*)*)"[,\s]*"answer":\s*"([^"\\]*(?:\\.[^"\\]*)*)"'
|
||
q_matches = re.finditer(q_pattern, sub_questions_content)
|
||
|
||
for q_match in q_matches:
|
||
question = q_match.group(1)
|
||
answer = q_match.group(2)
|
||
|
||
# 处理答案格式
|
||
# 1. 单个字母答案(选择题)保持原样
|
||
# 2. 其他答案处理换行为<br/>
|
||
if len(answer.strip()) == 1 and answer.strip() in 'ABCDEFGH':
|
||
formatted_answer = answer
|
||
else:
|
||
# 替换换行符
|
||
formatted_answer = answer.replace('\\n', '<br/>')
|
||
# 如果有选项，只保留正确答案内容
|
||
if 'A.' in formatted_answer or 'B.' in formatted_answer:
|
||
# 移除选项标记
|
||
formatted_answer = re.sub(r'[A-H]\.\s*', '', formatted_answer)
|
||
|
||
all_questions.append({
|
||
'id': f'q_{question_counter}',
|
||
'question': question,
|
||
'answer': formatted_answer
|
||
})
|
||
question_counter += 1
|
||
|
||
# 构建新的questions数组字符串
|
||
result = '[\n {\n'
|
||
result += ' "id": "all_questions",\n'
|
||
result += ' "question": "面试题集",\n'
|
||
result += ' "subQuestions": [\n'
|
||
|
||
for i, q in enumerate(all_questions):
|
||
# 转义引号
|
||
question_escaped = q['question'].replace('"', '\\"')
|
||
answer_escaped = q['answer'].replace('"', '\\"')
|
||
|
||
result += ' {\n'
|
||
result += f' "id": "{q["id"]}",\n'
|
||
result += f' "question": "{question_escaped}",\n'
|
||
result += f' "answer": "{answer_escaped}"\n'
|
||
result += ' }'
|
||
|
||
if i < len(all_questions) - 1:
|
||
result += ','
|
||
result += '\n'
|
||
|
||
result += ' ]\n'
|
||
result += ' }\n ]'
|
||
|
||
return result
|
||
|
||
# 处理每个岗位群的questions数组
|
||
def process_content(content):
|
||
# 找到所有的questions数组
|
||
pattern = r'("questions":\s*\[)(.*?)(\]\s*\})'
|
||
|
||
def replacer(match):
|
||
prefix = match.group(1)
|
||
questions_content = match.group(2)
|
||
suffix = match.group(3)
|
||
|
||
# 如果已经是合并后的格式，跳过
|
||
if '"id": "all_questions"' in questions_content:
|
||
return match.group(0)
|
||
|
||
# 处理questions内容
|
||
new_questions = process_questions_array(questions_content)
|
||
|
||
return prefix + new_questions[1:-1] + suffix
|
||
|
||
# 替换所有的questions数组
|
||
result = re.sub(pattern, replacer, content, flags=re.DOTALL)
|
||
|
||
return result
|
||
|
||
# 处理文件
|
||
processed_content = process_content(content)
|
||
|
||
# 保存处理后的文件
|
||
with open('src/mocks/resumeInterviewMock.js', 'w', encoding='utf-8') as f:
|
||
f.write(processed_content)
|
||
|
||
print("✅ 面试题结构修改完成！")
|
||
print("- 所有题目已合并到同一张卡片")
|
||
print("- 答案换行已转换为<br/>标签")
|
||
print("- 选择题答案已处理为只显示正确答案") |