bellman-tools 0.1.2

bellman_tools

Bellman Tools (bellman_tools)

Python tools to upload data into SQL Server using SQL Alchemy

Installation

• pip install bellman-tools

Usage

SQL Tools

To retrieve data from a SQL Server. You need first to add connection string to the .env file in the project root folder.

Example of the .env file:

DATABASE_CONNECTION_STRING="mssql+pyodbc://user:password@server_name:1433/{db}?driver=SQL+Server"

Then you can execute this python code :

from bellman_tools import sql_tools
SQL = sql_tools.Sql(db='DB')
df = SQL.load_dataframe_from_query("SELECT TOP 1 * FROM Test")

Notes on environment loading

• bellman_tools.sql_tools looks for a .env file only in your current working directory (typically your project root) when it is imported. If it does not find one, it prints the current directory and continues.
• Best practice is to set environment variables outside of your code (shell, CI/CD secrets, process manager). The .env loading is a convenience fallback.

Upload Tools

To upload data into a SQL Server database.

import pandas as pd
from bellman_tools import sql_tools, upload_tools

SQL = sql_tools.Sql(db='SAM')
UPLOAD = upload_tools.Upload(SQL)

from bellman_tools.database import Test

df = pd.DataFrame([dict(Test='Testing with Upload tools')])

UPLOAD.load_basic_df_to_db(
    df,
    SQL_Alchemy_Table=Test.Test,
)