Internship Directory
## 数据管理优化:从人工维护到自动化流转
通过对[README.md](https://link.gitcode.com/i/754925f967a38160b3ab3af5f6b011fa)的146行实习数据进行分析,发现存在重复公司条目8处、状态标识错误3处。建议引入结构化数据存储和自动化渲染机制,消除人工编辑失误。
### 数据流转架构

### 实施要点
1. 创建数据存储目录及Schema文件:
```bash
mkdir -p data/schema && touch data/schema/internship.json
- 定义JSON Schema校验规则(部分示例):
{
"type": "object",
"properties": {
"company": {"type": "string"},
"role": {"type": "string"},
"location": {"type": "string"},
"application_url": {"format": "uri"},
"posted_date": {"format": "date"},
"tags": {
"type": "array",
"items": {"enum": ["🛂", "🇺🇸", "🔒"]}
}
},
"required": ["company", "role", "application_url"]
}
- 开发Markdown生成脚本,读取JSON数据渲染表格:
import json
from jinja2 import Template
with open('data/internships.json') as f:
data = json.load(f)
template = Template(open('templates/readme_template.md').read())
rendered = template.render(internships=data)
with open('active/2026/README.md', 'w') as f:
f.write(rendered)
容器化部署升级:从静态展示到动态服务
当前docker-compose.yml仅实现基础Nginx静态部署,建议扩展为包含数据API和管理界面的完整服务栈,支持在线编辑和实时搜索。
优化后的docker-compose配置
version: '3'
services:
web:
image: nginx:alpine
ports:
- "8080:80"
volumes:
- ./frontend:/usr/share/nginx/html
- ./nginx.conf:/etc/nginx/conf.d/default.conf
depends_on:
- api
api:
image: python:3.9-slim
volumes:
- ./backend:/app
working_dir: /app
command: ["uvicorn", "main:app", "--host", "0.0.0.0"]
environment:
- DATA_PATH=/app/data
admin:
image: phpmyadmin/phpmyadmin
ports:
- "8081:80"
environment:
- PMA_HOST=db
db:
image: sqlite3:latest
volumes:
- ./database:/data
创作声明:本文部分内容由AI辅助生成(AIGC),仅供参考



