sql-via-code 0.0.3

A Python package to execute SQL queries and procedures and manage backups.

Database Query and Backup Script - Summary

This script provides the get_query_from_db and exec_procedure_from_db functions, designed to interact with a SQL Server database. It supports executing queries or stored procedures, and optionally creating backups of tables.

Function Usage

• get_query_from_db(query, table_to_backup, env_file_name=None, params=None):

  • Executes a SQL query on the database.
  • Parameters:
    • query: A SQL query string to execute on the database.
    • table_to_backup: The name of a table to back up. Set this to None if no backup is needed.
    • env_file_name (optional): The path to the .env file containing database credentials. Defaults to .env.
    • params (optional): A dictionary of parameters to bind to the query.
  • Returns:
    • A pandas DataFrame with the query results.

• exec_procedure_from_db(procedure_name, table_to_backup, env_file_name=None, params=None):

  • Executes a stored procedure on the database.
  • Parameters:
    • procedure_name: The name of the stored procedure to execute.
    • table_to_backup: The name of a table to back up. Set this to None if no backup is needed.
    • env_file_name (optional): The path to the .env file containing database credentials. Defaults to .env.
    • params (optional): A dictionary of parameters to bind to the procedure.
  • Returns:
    • A pandas DataFrame with the procedure's output.

Setup Instructions

1. Environment Variables:
   • The script requires a .env file to load database credentials and connection details.
   • Required variables:

     USER=
     PASSWORD=
     HOST=
     NAME=
     DRIVER=
     

     Fill in the variables with your database details.

Installation

Install the package directly from PyPI:

pip install Credito_SQLViaCode

#### Examples:

- **Execute a Query**:
   ```python
   from SQLViaCode import get_query_from_db

   query = "SELECT * FROM your_table"
   result_df = get_query_from_db(query, "your_table_to_backup")
   print(result_df)