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数据分析：集成了多种数据分析和挖掘工具，通过数据分析和挖掘，提供更全面的学校管理信息支持。\n* 教育教学：采用针对性设计，兼顾教育教学特色，提供更符合教师和学生需求的管理和学习功能。\n* 在线沟通：提供实时的在线聊天和讨论功能，可通过系统内部的消息系统进行交流和协作，方便快捷地解决问题和分享信息。\n## 使用前沿技术\n\n- [Python 3.12](https://www.python.org/)\n- [Mysql 8](https://www.mysql.com/)\n- [Redis](https://redis.io/)\n- [Django 4.2.8](https://www.djangoproject.com/)\n- [Django REST framework](https://www.django-rest-framework.org/)\n\n## 开发\n\n### 开启雪花算法生成服务器\n\n```shell\n# 前台开启\nsnowflake_start_server --log_file_prefix=snowflake/pysnowflask.log\n\n# 后台开启\nnohup snowflake_start_server --log_file_prefix=snowflake/pysnowflask.log\u003e/dev/null \u0026\n\n# 可选参数\n# --address：本机的IP地址默认localhost\n# --port：端口号\n# --dc：数据中心唯一标识符默认为0\n# --worker：工作者唯一标识符默认为0\n# --log_file_prefix：日志文件所在位置\n```\n\n### 如何使用\n\n```powershell\ngit clone https://github.com/ldystudio/next_digital_campus_server.git\n\ncd next_digital_campus_server\n\n# 创建虚拟环境，需要python3.10以上\npython -m venv venv\n\n# 激活虚拟环境\n.\\venv\\Scripts\\activate\n\n# 安装依赖\npip install -r requirements.txt\n\n# 填写配置\nmv .env.cfg.example .env.cfg\n# 数据迁移\npython manage.py makemigrations\npython manage.py migrate\n\n# 运行\npython manage.py runserver 8000\n```\n\n## 部署\n\n\u003e 将uwsgi + daphne+ supervisor + nginx组件使用Docker部署\n\n查看docker-compose.yaml文件中相关容器挂载的路径，提前创建好文件夹，将conf文件夹下的相关xxx.conf文件移动到对应地方，conf文件中某些字段如ip地址、密码之类的字段还需进行修改。\n\n进入项目文件夹下输入``docker-compose up -d``一键部署！\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fldystudio%2Fnext_digital_campus_server","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fldystudio%2Fnext_digital_campus_server","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fldystudio%2Fnext_digital_campus_server/lists"}