- data-exploration
- backend
- database # 数据库实例
- expand # 拓展（AI预处理等）
- llm # 大模型service
- routers # 接口信息
- sql # sql文件(项目初始化)
- template # 模板
- config.yaml # 项目配置文件
- data_resources # 历史资源保存路径
- install_package # docker镜像等中间件
- scheduler_redis # 定时任务模块
- data-exploration.tar.gz # 依赖环境包
- app.py # 启动文件
- gunicorn_control.sh # 启动sh文件
- scheduler_control.sh # 定时任务启动sh文件-
解压文件 tar -zxvf docker-20.10.0.tgz 拷贝命令到 /usr/bin 目录下 cp docker/* /usr/bin/ -
使用 **"vi /usr/lib/systemd/system/docker.service"**命令，把如下信息写入
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docker.service [Unit] Description=Docker Application Container Engine Documentation=https://docs.docker.com After=network-online.target firewalld.service Wants=network-online.target [Service] Type=notify # the default is not to use systemd for cgroups because the delegate issues still # exists and systemd currently does not support the cgroup feature set required # for containers run by docker ExecStart=/usr/bin/dockerd ExecReload=/bin/kill -s HUP $MAINPID # Having non-zero Limit*s causes performance problems due to accounting overhead # in the kernel. We recommend using cgroups to do container-local accounting. LimitNOFILE=infinity LimitNPROC=infinity LimitCORE=infinity # Uncomment TasksMax if your systemd version supports it. # Only systemd 226 and above support this version. #TasksMax=infinity TimeoutStartSec=0 # set delegate yes so that systemd does not reset the cgroups of docker containers Delegate=yes # kill only the docker process, not all processes in the cgroup KillMode=process # restart the docker process if it exits prematurely Restart=on-failure StartLimitBurst=3 StartLimitInterval=60s [Install] WantedBy=multi-user.target
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执行如下命令 systemctl daemon-reload 开机自启动设置 systemctl enable docker 启动docker systemctl start docker 验证docker是否安装成功 docker info docker run hello-word
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离线安装postgres docker加载本地镜像包 docker load -i postgre16.tar 运行postgres_docker_run.sh bash postgres_docker_run.sh 离线安装nginx docker加载本地镜像包 docker load -i nginx.tar 离线安装redis docker加载本地镜像包 docker load -i redis-6.0.8.tar 运行redis6.0.8_run.sh bash redis6.0.8_run.sh
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解压jdk文件 tar -zxvf jdk-8u171-linux-x64.tar.gz 增加环境变量 vi /etc/profile 在文件最底部添加 export JAVA_HOME=/解压目录/JDK1.8.0_361 export JRE_HOME=${JAVA_HOME}/jre export CLASSPATH=.:${JAVA_HOME}/lib:${JRE_HOME}/lib export PATH=${JAVA_HOME}/bin:$PATH wq保存后执行 source /etc/profile 查看版本 java --version
# 进入安装目录
cd data-exploration
# 解压依赖环境包
mkdir data-exploration
tar -zxvf data-exploration.tar.gz -C data-exploration
# 进入依赖环境
source data-exploration/bin/activate# 数据库配置
database:
host: 192.168.20.48 # 数据库地址
port: 5432 # 端口
user: root # 用户名
password: 123456 # 密码
# 定时任务配置
scheduler:
thread_num: 20 # 启动线程数量
process_num: 5 # 启动进程数量
max_instances: 3 # 最大同时执行数量
# 初始化数据库(后续无需再次运行)
python init_nacos_database.py# 进入mian.py所在路径
cd data-exploration
# 运行启动文件
./gunicorn_control
# 查看报错信息
tail -f error.log
# 查看接口响应信息
tail -f access.logexport LD_LIBRARY_PATH=/root/instantclient_12_2:$LD_LIBRARY_PATH