SQLPyHelper 0.1.7

A simple SQL database helper package for Python.

SQLPyHelper

SQLPyHelper is a lightweight Python library that gives you a single, consistent API across SQLite, PostgreSQL, MySQL, SQL Server, and Oracle — without the overhead of an ORM.

If you need to run queries, manage transactions, pool connections, or back up tables across multiple database types without learning SQLAlchemy's abstraction layer or wiring up five different drivers manually, SQLPyHelper handles that boilerplate for you.

# Works identically across all five supported databases
with SQLPyHelper(db_type="postgres", host="localhost", user="user", 
                 password="pass", database="mydb") as db:
    db.execute_query("INSERT INTO orders (item) VALUES (%s)", ("Laptop",))
    results = db.fetch_all()

📖 Table of Contents

• 🚀 Features
• 📦 Installation
• ⚙️ Setup Using .env
• 🛠 Usage Examples
  • SQLite Example
  • PostgreSQL Example
  • MySQL Example
  • SQL Server Example
  • Oracle Example
• 📂 Project Structure
• 📌 Available Methods in SQLPyHelper
• 🌍 Contributing
• ☕ Support the Project

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🚀 Features in v0.1.4

• Unified connection pooling for multiple databases.
• Automatic reconnection for lost connections.
• Transaction support (BEGIN, ROLLBACK, COMMIT).
• Secure parameterized queries to prevent SQL injection.
• Bulk insertion & dynamic table creation.
• Logging & error handling for better debugging.
• CSV export & database backups.

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📦 Installation

Install the base package (includes SQLite support out of the box):

pip install sqlpyhelper

Install with your database driver:

pip install sqlpyhelper[postgres]    # PostgreSQL
pip install sqlpyhelper[mysql]       # MySQL
pip install sqlpyhelper[sqlserver]   # SQL Server
pip install sqlpyhelper[oracle]      # Oracle
pip install sqlpyhelper[all]         # All databases

📌 Package on PyPI: SQLPyHelper on PyPI

For local development:

git clone https://github.com/adebayopeter/sqlpyhelper.git
cd sqlpyhelper
pip install -r requirements.txt

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⚙️ Setup Using .env

Create a .env file in your project root to manage database configurations securely by renaming .env_example.

# .env_example (Rename to .env)
DB_TYPE=postgres
DB_HOST=localhost
DB_USER=your_user
DB_PASSWORD=your_secure_password
DB_NAME=database_name
DB_DRIVER={ODBC Driver 17 for SQL Server}
ORACLE_SID=XE
ORACLE_DB_PORT=1521

Loading .env in Code

from dotenv import load_dotenv
import os

load_dotenv()
db_type = os.getenv("DB_TYPE")
host = os.getenv("DB_HOST")
user = os.getenv("DB_USER")
password = os.getenv("DB_PASSWORD")
database = os.getenv("DB_NAME")

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🛠 Usage Examples

Initialize SQLPyHelper

from sqlpyhelper.db_helper import SQLPyHelper
db = SQLPyHelper()  # Auto-detects database type based on `DB_TYPE`

SQLite Example

db.execute_query("CREATE TABLE users (id INTEGER PRIMARY KEY, name TEXT)")
db.execute_query("INSERT INTO users (name) VALUES (?)", ("Alice",))
print(db.fetch_all()) # Expected Output: [(1, 'Alice')]
db.close()

PostgreSQL Example

db.execute_query("CREATE TABLE customers (id SERIAL PRIMARY KEY, name TEXT)")
db.execute_query("INSERT INTO customers (name) VALUES (%s)", ("Bob",))
db.begin_transaction()
db.execute_query("DELETE FROM customers WHERE name=%s", ("Bob",))
db.rollback_transaction()  # Undo delete

MySQL Example

db.execute_query("CREATE TABLE users (id INT PRIMARY KEY, name VARCHAR(100))")
db.execute_query("INSERT INTO users (id, name) VALUES (%s, %s)", (1, "Alice"))
print(db.fetch_by_param("users", "id", 1))  # Expected Output: [(1, 'Alice')]
db.close()

SQL Server Example

db.execute_query("CREATE TABLE orders (order_id INT PRIMARY KEY, item NVARCHAR(100))")
db.insert_bulk("orders", [{"order_id": 1, "item": "Laptop"}, {"order_id": 2, "item": "Mouse"}])
db.backup_table("orders", "orders_backup.csv")  # Export data to CSV

Oracle Example

db.execute_query("CREATE TABLE employees (id NUMBER PRIMARY KEY, name VARCHAR2(100))")
db.execute_query("INSERT INTO employees (id, name) VALUES (:1, :2)", (1, "Charlie"))
db.setup_connection_pool(min_conn=2, max_conn=10)  # Enable pooling for better performance
conn = db.get_connection_from_pool()
db.return_connection_to_pool(conn)

📂 Project Structure

📦 SQLPyHelper/
├─ sqlpyhelper/
│  ├─ __init__.py
│  └─ db_helper.py
├─ tests/
│  └─ test_sqlpyhelper.py
├─ .env_example
├─ .gitignore
├─ setup.py
├─ README.md
└─ requirements.txt

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📌 Available Methods in SQLPyHelper

Method	Description
execute_query(query, params=None)	Executes a SQL query with optional parameters.
fetch_one()	Retrieves a single row from query results.
fetch_all()	Retrieves all rows from query results.
fetch_by_param(table, column, value)	Fetches rows dynamically based on a given parameter.
create_table(table_name, columns_dict)	Creates a table dynamically with a dictionary format.
insert_bulk(table, data_list)	Inserts multiple rows at once efficiently.
backup_table(table, backup_file.csv)	Exports table data to CSV format.
setup_connection_pool()	Initializes database connection pooling.
get_connection_from_pool()	Fetches a connection from the pool.
return_connection_to_pool(conn)	Returns connection back to pool.
begin_transaction()	Begins an explicit transaction.
rollback_transaction()	Rolls back uncommitted transactions.
commit_transaction()	Commits the current transaction.
close()	Closes the database connection safely.
__enter__ / __exit__()	Use as a context manager — connection closes automatically.

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🌍 Contributing

We welcome contributions from the open-source community! Follow these steps to contribute:

1. Fork the repo: SQLPyHelper GitHub Repository
2. Clone your fork:

   git clone https://github.com/adebayopeter/sqlpyhelper.git
   

3. Create a new branch:

   git checkout -b feature-new-functionality
   

4. Make changes, commit, and push:

   git commit -m "Added new feature"
   git push origin feature-new-functionality
   

5. Submit a Pull Request!

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☕ Support the Project

If you find SQLPyHelper useful, consider buying me a coffee to support continued development! Donate Here: PayPal