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📌 SQLPyHelper v.0.1.3 🚀

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 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.

📦 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

⚙️ 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")

🛠 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

📌 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.

🌍 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!

☕ Support the Project

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

About

A Python library for simplified database interactions across **SQLite, PostgreSQL, MySQL, SQL Server, and Oracle**. This open-source package provides an intuitive API for handling database operations efficiently.

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