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
IvorySQL6 小时前
PostgreSQL 技术日报 (3月9日)|EXPLAIN ANALYZE 计时优化与复制语法讨论
数据库·postgresql·开源
stark张宇10 小时前
MySQL 核心内幕:从索引原理、字段选型到日志机制与外键约束,一篇打通数据库任督二脉
数据库·mysql·架构
倔强的石头_10 小时前
融合数据库架构实践:关系型、JSON与全文检索的“一库多能”深度解析
数据库
星辰员12 小时前
KingbaseES数据库:ksql 命令行用户与权限全攻略,从创建到删除
数据库
华仔啊1 天前
千万别给数据库字段加默认值 null!真的会出问题
java·数据库·后端
随风飘的云2 天前
MySQL的慢查询优化解决思路
数据库
IvorySQL2 天前
PostgreSQL 技术日报 (3月7日)|生态更新与内核性能讨论
数据库·postgresql·开源
赵渝强老师2 天前
【赵渝强老师】金仓数据库的数据文件
数据库·国产数据库·kingbase·金仓数据库
随逸1772 天前
《Milvus向量数据库从入门到实战,手把手搭建语义检索系统》
数据库
神秘的猪头3 天前
🚀 React 开发者进阶:RAG 核心——手把手带你玩转 Milvus 向量数据库
数据库·后端·llm