cd2e307402
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>
92 lines
2.8 KiB
Python
92 lines
2.8 KiB
Python
#!/usr/bin/env python3
|
||
# -*- coding: utf-8 -*-
|
||
|
||
import json
|
||
import re
|
||
|
||
def clean_markdown_content(content):
|
||
"""清理markdown内容中的删除线和加粗符号"""
|
||
if not content:
|
||
return content
|
||
|
||
# 删除删除线及其内容 ~~text~~
|
||
content = re.sub(r'~~[^~]+~~', '', content)
|
||
|
||
# 删除中文删除线及其内容 ～～text～～
|
||
content = re.sub(r'～～[^～]+～～', '', content)
|
||
|
||
# 删除加粗符号但保留内容 **text** -> text
|
||
content = re.sub(r'\*\*([^*]+)\*\*', r'\1', content)
|
||
|
||
# 删除加粗符号但保留内容 __text__ -> text
|
||
content = re.sub(r'__([^_]+)__', r'\1', content)
|
||
|
||
# 清理多余的空格和换行
|
||
content = re.sub(r'\n{3,}', '\n\n', content) # 多个换行变为最多两个
|
||
content = re.sub(r' +', ' ', content) # 多个空格变为一个
|
||
|
||
return content.strip()
|
||
|
||
# 读取数据文件
|
||
with open('src/mocks/resumeInterviewMock.js', 'r', encoding='utf-8') as f:
|
||
content = f.read()
|
||
|
||
# 提取data对象
|
||
import ast
|
||
data_start = content.find('const data = {')
|
||
data_end = content.rfind('};') + 2
|
||
data_str = content[data_start:data_end]
|
||
|
||
# 解析JSON部分
|
||
json_start = data_str.find('{')
|
||
json_str = data_str[json_start:]
|
||
|
||
# 手动解析positions数组，找到有modified字段的岗位
|
||
positions_with_modified = [
|
||
"会展策划师",
|
||
"会展讲解员",
|
||
"活动执行",
|
||
"活动策划师",
|
||
"漫展策划师",
|
||
"会展执行助理",
|
||
"旅游规划师",
|
||
"旅游计调专员",
|
||
"景区运营专员",
|
||
"文旅运营总监助理"
|
||
]
|
||
|
||
print("开始清理修改版简历内容...")
|
||
print(f"需要清理的岗位: {positions_with_modified}")
|
||
|
||
# 逐个处理每个岗位
|
||
for position_name in positions_with_modified:
|
||
print(f"\n处理岗位: {position_name}")
|
||
|
||
# 查找该岗位在文件中的位置
|
||
# 使用更精确的模式匹配
|
||
pattern = rf'title:\s*["\']({position_name})["\'].*?content:\s*\{{.*?modified:\s*`([^`]+)`'
|
||
|
||
matches = list(re.finditer(pattern, content, re.DOTALL))
|
||
|
||
if matches:
|
||
for match in matches:
|
||
original_modified = match.group(2)
|
||
cleaned_modified = clean_markdown_content(original_modified)
|
||
|
||
# 替换文件内容
|
||
content = content.replace(
|
||
f"modified: `{original_modified}`",
|
||
f"modified: `{cleaned_modified}`"
|
||
)
|
||
|
||
print(f" ✓ 清理了修改版内容")
|
||
print(f" 原长度: {len(original_modified)}")
|
||
print(f" 新长度: {len(cleaned_modified)}")
|
||
else:
|
||
print(f" ⚠ 未找到该岗位的修改版内容")
|
||
|
||
# 写回文件
|
||
with open('src/mocks/resumeInterviewMock.js', 'w', encoding='utf-8') as f:
|
||
f.write(content)
|
||
|
||
print("\n✅ 清理完成！") |