AI大模型环境—Vanna安装分享（text-2-sql）

Vanna 简介

Vanna 是一个基于 MIT 许可的开源 Python RAG（检索增强生成）框架，用于 SQL 生成和相关功能。它允许用户在数据上训练一个 RAG “模型”，然后提问问题，这将生成在数据库上运行的 SQL 查询语句，并将查询结果通过表格和图表的方式展示给用户。

安装环境

CentOS 7.X

1.安装 anaconda3

wget https:

//repo

.anaconda.com

/archive/Anaconda3-2024

.02-1-Linux-x86_64.sh

sh Anaconda3-2024.02-1-Linux-x86_64.sh

source

.

/anaconda3/bin/activate

2.更新pip

pip install --upgrade pip

Successfully installed pip-24.0

3.安装模块包

pip install pandas -i Simple Index

pip install openai -i Simple Index

pip install pymysql -i Simple Index

pip install 'vanna[chromadb,openai]' -i Simple Index

1. 通过conda环境启动jupyter（pyhton开发环境），命令行执行

jupyter-lab

或者

jupyter notebook --allow-root

1. 申请Vanna的api_key

打开网址Log in to Vanna.AI，输入邮箱，获取Vanna.AI for free Key，示例如下：

from vanna.remote import VannaDefault
vn = VannaDefault(model='vanna-dxs', api_key='57d72396****')

1. 运行python模型

##初始化 Vanna 对象
from vanna.remote import VannaDefault
vn = VannaDefault(model='data', api_key='d6647*****')
##连接数据库
import pandas as pd
import pymysql
# MySQL数据库连接参数
conn_details = {
"host": "192.168.1.56",
"port": 13306,
"user": "root",
"password": "123@123",
"database": "vanna",
"charset": "utf8mb4",
}
 
# 建立MySQL数据库连接
conn = pymysql.connect(**conn_details)
 
 
# 定义一个函数，用于执行SQL查询并返回一个Pandas DataFrame
def run_sql(sql: str) -> pd.DataFrame:
    df = pd.read_sql_query(sql, conn)
    return df
 
# 将函数设置到vn.run_sql中
vn.run_sql = run_sql
vn.run_sql_is_set = True
##训练数据
vn.train(ddl="""
CREATE TABLE IF NOT EXISTS users (
    id INT PRIMARY KEY COMMENT '用户ID',
    username VARCHAR(50) COMMENT '用户名',
    email VARCHAR(100) COMMENT '电子邮件',
    age INT COMMENT '年龄',
    gender VARCHAR(10) COMMENT '性别（男/女）',
    city VARCHAR(50) COMMENT '城市'
) COMMENT='用户信息表' CHARACTER SET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
""")
##插入示例数据
INSERT INTO users (id,username,email,age,gender,city) VALUES
(1,'张三','zhangsan@example.com',30,'男','北京')，
(2,'李四','lisi@example.com', 25,'女','上海')，
(3,'王五','wangwu@example.com',40,'男','广州')，
(4,'赵六','zhaoliu@example.com',35,'女','深圳')，
(5,'小明','xiaoming@example.com',28,'男','成都')，
(6,'小红','xiaohong@example.com',45,'女','重庆')，
(7,'小华','xiaohua@example.com',32,'男','天津')，
(8,'小丽','xiaoli@example.com',27,'女','南京')，
(9,'小李','xiaoli2@example.com',38,'男','武汉')，
(10,'小美','xiaomei@example.com',33,'女','西安');

1. 打开web访问界面

from vanna.flask import VannaFlaskApp
VannaFlaskApp(vn).run()

返回如下：
Your app is running at:
http://localhost:8084
 * Serving Flask app 'vanna.flask'
 * Debug mode: off

1. 打开Vanna界面

其它安装参考：

安装Vanna模块

[yangwx@localhost bin]$ ./pip install vanna

Collecting vanna

Downloading vanna-0.0.33-py3-none-any.whl.metadata (8.8 kB)

Requirement already satisfied: requests in /opt/anaconda3/lib/python3.7/site-packages (from vanna) (2.19.1)

......

Installing collected packages: kaleido, tenacity, tabulate, sqlparse, plotly, vanna

Successfully installed kaleido-0.2.1 plotly-5.18.0 sqlparse-0.4.4 tabulate-0.9.0 tenacity-8.2.3 vanna-0.0.33

更新安装pandas

[yangwx@localhost bin]$ ./pip install --upgrade pandas

Requirement already satisfied: pandas in /opt/anaconda3/lib/python3.7/site-packages (0.23.4)

Collecting pandas

Downloading pandas-1.1.5-cp37-cp37m-manylinux1_x86_64.whl.metadata (4.7 kB)

Successfully installed numpy-1.21.6 pandas-1.1.5

安装openAI

./pip install openai

openai-0.8.0

安装chromadb

./pip install chromadb --ignore-installed

Downloading filelock-3.12.2-py3-none-any.whl (10 kB)

Using cached fsspec-2023.1.0-py3-none-any.whl (143 kB)

Installing collected packages: pypika, mpmath, monotonic, flatbuffers, zipp, websockets, uvloop, urllib3, typing-extensions, tqdm, sympy, sniffio, six, pyyaml, python-dotenv, protobuf, packaging, overrides, numpy, idna, humanfriendly, httptools, grpcio, graphlib-backport, fsspec, filelock, exceptiongroup, charset-normalizer, certifi, bcrypt, backoff, requests, python-dateutil, pydantic-core, pulsar-client, importlib-resources, importlib-metadata, h11, coloredlogs, chroma-hnswlib, anyio, annotated-types, watchfiles, starlette, pydantic, posthog, onnxruntime, huggingface_hub, click, uvicorn, typer, tokenizers, fastapi, chromadb

开放页面IP访问配置：

修改配置文件，让界面通过IP访问

先执行如下命令，重新生成配置文件

jupyter notebook --generate-config

将c.NotebookApp.ip =localhost修改为c.NotebookApp.ip = '*'

vim /home/yangwx/.jupyter/jupyter_notebook_config.py

参考链接：

https://pypi.org/project/vanna/