DB-GPT 安装

从源代码开始安装,因为docker镜像库不能用了。。。

参考官网:

https://docs.dbgpt.site/docs/latest/quickstart

安装文档 - source

https://docs.dbgpt.site/docs/latest/installation/sourcecode

下载源代码

Download DB-GPT

git clone https://github.com/eosphoros-ai/DB-GPT.git

报错

remote: Counting objects: 100% (208/208), done.

remote: Compressing objects: 100% (175/175), done.

error: RPC failed; curl 56 GnuTLS recv error (-9): Error decoding the received TLS packet.

error: 57342 bytes of body are still expected

fetch-pack: unexpected disconnect while reading sideband packet

fatal: early EOF

fatal: fetch-pack: invalid index-pack output

奇怪 ,貌似我的这个Ubuntu有问题,不深究,从别的Ubuntu系统下载,然后拷贝过去

tar -zcvf DB-GPT.tgz DB-GPT/

scp DB-GPT.tgz root@192.168.254.194:/data/

下载minoconda和python

wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh

chmod +x Miniconda3-latest-Linux-x86_64.sh

./Miniconda3-latest-Linux-x86_64.sh

You can undo this by running `conda init --reverse $SHELL`? [yes|no]

no\] \>\>\> 这里要选yes source \~/.bashrc 注意: Do you wish to update your shell profile to automatically initialize conda? This will activate conda on startup and change the command prompt when activated. If you'd prefer that conda's base environment not be activated on startup, run the following command when conda is activated: conda config --set auto_activate_base false You can undo this by running \`conda init --reverse $SHELL\` conda create -n dbgpt_env python=3.10 conda activate dbgpt_env cd /data/DB-GPT/ conda install pytorch conda install fastapi conda install python-dotenv conda install cachetools cd /data/DB-GPT/ pip install -e ".\[default\]" 提示: Running setup.py develop for dbgpt 很快完成 sudo yum install qemu-kvm libvirt libvirt-devel libguestfs-tools virt-install bridge-utils sudo systemctl start libvirtd sudo systemctl enable libvirtd sudo yum install virt-manager conda install pytorch 报错: Retrying (Retry(total=0, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPSConnectionPool(host='repo.anaconda.com', port=443): Read timed out. (read timeout=9.15)")': /pkgs/main/linux-64/gmpy2-2.1.2-py310heeb90bb_0.conda 解决办法: conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/ conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/ conda config --set show_channel_urls yes pip install -e ".\[default\]" 报错: Downloading nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl (731.7 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━ 622.3/731.7 MB 489.4 kB/s eta 0:03:44 pip._vendor.urllib3.exceptions.ReadTimeoutError: HTTPSConnectionPool(host='files.pythonhosted.org', port=443): Read timed out. 网络问题,后面加个参数proxy配置即可 pip install -e ".[default]" --proxy http://myproxy:8086 export PYTHONPATH=/data/DB-GPT export PYTHONPATH=/data/DB-GPT models 需要下载 cd DB-GPT mkdir models and cd models # Add the Git LFS package repository curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh \| sudo bash # Update your package lists sudo apt-get update # Install Git LFS sudo apt install git-lfs # embedding model git clone https://huggingface.co/GanymedeNil/text2vec-large-chinese # also you can use m3e-large model, you can choose one of them according to your needs # git clone https://huggingface.co/moka-ai/m3e-large # LLM model, if you use openai or Azure or tongyi llm api service, you don't need to download llm model git clone https://huggingface.co/THUDM/glm-4-9b-chat apt install rar rar a -v500m models.rar models/\* scp models.part00\*.rar root@192.168.254.194:/data/DB-GPT/ scp root@172.21.254.215:/mnt/bigstore/nfs_zstack/upload_zstack/temp/dbgpt.models/\*.rar 环境说明: model_name: glm-4-9b-chat model_path: /data/DB-GPT/models/glm-4-9b-chat ======================================== 启动DB-GPT的脚本 startDB-GPT.sh #!/bin/sh # conda activate dbgpt_env cd /data/DB-GPT /data/miniconda3/envs/dbgpt_env/bin/python dbgpt/app/dbgpt_server.py ======================================== db-gpt.service \[Unit

Description=My Conda Script Service DB-GPT

After=network.target

Service

Type=onshot

#simple

ExecStart=/data/startDB-GPT.sh

Restart=on-failure

User=root

Environment="PATH=/usr/bin:/data/miniconda3/condabin:$PATH"

WorkingDirectory=/data/DB-GPT

Environment="CONDA_DEFAULT_ENV=dbgpt_env"

StandardOutput=journal

StandardError=file://data/DB-GPT/error.log

Environment="CONDA_EXE=/data/miniconda3/bin/conda"

Environment="CONDA_PREFIX=/data/miniconda3/envs/dbgpt_env"

Environment="CONDA_PREFIX_1=/data/miniconda3"

Environment="CONDA_PROMPT_MODIFIER='(dbgpt_env) '"

Environment="CONDA_PYTHON_EXE=/data/miniconda3/bin/python"

Install

WantedBy=multi-user.target

相关推荐
JoneBB12 分钟前
ABAP Webservice连接
运维·开发语言·数据库·学习
解决问题no解决代码问题16 分钟前
从乱码到脱敏导出:TiDB CSV 导出实战全指南
数据库
未若君雅裁29 分钟前
MySQL高可用与扩展-主从复制读写分离分库分表
java·数据库·mysql
2401_8676239834 分钟前
CSS Flex布局中如何设置子元素间距_掌握gap属性的现代用法
jvm·数据库·python
月落归舟41 分钟前
一篇文章了解Redis内存淘汰机制与过期Key清理
数据库·redis·mybatis
phltxy1 小时前
Redis 事务
数据库·redis·缓存
康乾隆1 小时前
SQL Server Always On 重新添加从库步骤
数据库·sqlserver
环流_2 小时前
redis核心数据类型在java中的操作
java·数据库·redis
雨辰AI2 小时前
SpringBoot3 项目国产化改造完整流程|从 MySQL 到人大金仓落地
java·数据库·后端·mysql·政务
一个天蝎座 白勺 程序猿2 小时前
存储治理:表空间自动目录创建与国产操作系统生态适配
数据库·kingbasees