SQLPyHelper 0.1.4

A simple SQL database helper package for Python.

SQLPyHelper

📌 SQLPyHelper v.0.1.4 🚀

A Python library for simplified database interactions across SQLite, PostgreSQL, MySQL, SQL Server, and Oracle. SQLPyHelper provides an intuitive API for handling queries, connection pooling, transactions, logging, and backups efficiently.

📖 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 v0.1.3

• 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 via PyPI:

pip install sqlpyhelper

📌 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.
close()	Closes the database connection safely.

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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