VidInsight SQLAlchemy Engine Kit

Production-ready SQLAlchemy toolkit for database session management, connection pooling, and common patterns.

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🚀 What is This?

Engine-kit is a convenience layer on top of SQLAlchemy that provides:

• ✅ Easy database session management with decorators
• ✅ Thread-safe singleton connection pooling
• ✅ Alembic migration integration
• ✅ Modular logging and monitoring
• ✅ Production-ready patterns and best practices

This is NOT a full ORM - it uses SQLAlchemy as the ORM and adds useful utilities on top.

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⚡ Quick Start

from sqlalchemy_engine_kit import DatabaseManager, get_sqlite_config, with_session, Base
from sqlalchemy import Column, Integer, String
from sqlalchemy.orm import Session

# 1. Define models
class User(Base):
    __tablename__ = 'users'
    id = Column(Integer, primary_key=True)
    name = Column(String(255))

# 2. Initialize database
config = get_sqlite_config("myapp.db")
manager = DatabaseManager()
manager.initialize(config, auto_start=True)
manager.engine.create_tables(Base.metadata)

# 3. Use with decorators - simple and clean!
@with_session()
def create_user(session: Session, name: str) -> User:
    user = User(name=name)
    session.add(user)
    session.flush()
    return user

# Done!
user = create_user(name="John Doe")
print(f"Created user: {user.name}")

👉 Full Quick Start Guide

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📦 Features

Core Features

Feature	Description	Status
Session Management	Decorators and context managers for automatic session lifecycle	✅ Ready
Connection Pooling	Configurable pool with health checks and graceful shutdown	✅ Ready
Migrations	Alembic integration for schema versioning	✅ Ready
Model Mixins	Timestamp, soft delete, and audit mixins	✅ Ready
Bulk Operations	Efficient bulk insert, update, delete	✅ Ready
Pagination	Query pagination with metadata	✅ Ready
Eager Loading	Utilities to avoid N+1 queries	✅ Ready

Production Features

Feature	Description	Status
Thread Safety	All components are thread-safe	✅ Ready
Error Handling	Comprehensive exception hierarchy	✅ Ready
Logging	Modular logging - use yours or ours	✅ Ready
Monitoring	Pluggable monitoring (Prometheus, Datadog, etc.)	✅ Ready
Health Checks	Built-in database health monitoring	✅ Ready
Retry Logic	Automatic retry on deadlock/timeout	✅ Ready

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📖 Examples

Çalışan örnekler examples/ klasöründe:

• basic_usage.py - Temel kullanım (CRUD işlemleri, decorator'lar)
• transaction_example.py - Transaction yönetimi (atomic operations)
• flask_integration.py - Flask web framework entegrasyonu
• migration_example.py - Alembic migration kullanımı

Detaylar için: examples/README.md

📚 Documentation

👉 Full Documentation Index - Complete documentation menu

Quick Links

Document	Description
QUICKSTART.md	Get started in 5 minutes
API_REFERENCE.md	Complete API documentation
EXAMPLES.md	Real-world examples and integrations
BEST_PRACTICES.md	Best practices and guidelines
DEPLOYMENT.md	Production deployment guide
LOGGING_AND_MONITORING.md	Configure logging and monitoring
RUNBOOK.md	Troubleshooting common issues
ARCHITECTURE.md	Technical architecture guide
MIGRATION_GUIDE.md	Migration from SQLAlchemy

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🎯 Use Cases

✅ Perfect For:

• Web Applications (Flask, FastAPI, Django with custom ORM layer)
• Microservices needing consistent database access patterns
• Data Processing pipelines requiring reliable database connections
• APIs with high concurrency requirements
• Internal Tools wanting quick database setup

⚠️ Not Ideal For:

• Simple Scripts - might be overkill
• Projects Already Using Django ORM - stick with Django's ORM
• NoSQL Databases - this is for SQL databases only

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📋 Requirements

• Python: 3.9+
• SQLAlchemy: 2.0+
• Databases: PostgreSQL 12+, MySQL 8+, SQLite 3.35+

Optional Dependencies

# PostgreSQL
pip install psycopg2-binary

# MySQL
pip install pymysql

# Migrations
pip install alembic

# Monitoring
pip install prometheus-client

# Environment config
pip install python-dotenv

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🔧 Installation

# From PyPI (recommended)
pip install sqlalchemy-engine-kit

# With PostgreSQL support
pip install "sqlalchemy-engine-kit[postgres]"

# With MySQL support
pip install "sqlalchemy-engine-kit[mysql]"

# With all optional features
pip install "sqlalchemy-engine-kit[all]"

# From source (development)
pip install git+https://github.com/vidinsight/sqlalchemy-engine-kit.git

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💡 Key Concepts

1. Singleton Manager Pattern

from sqlalchemy_engine_kit import DatabaseManager

# Initialize once at startup
manager = DatabaseManager()
manager.initialize(config, auto_start=True)

# Access anywhere in your application
manager = DatabaseManager()  # Same instance!

2. Decorator-Based Session Management

from sqlalchemy_engine_kit import with_session, with_transaction

@with_session()  # Automatic session management
def read_user(session, user_id):
    return session.query(User).get(user_id)

@with_transaction()  # Automatic commit/rollback
def update_user(session, user_id, name):
    user = session.query(User).get(user_id)
    user.name = name
    # Auto-commits on success, auto-rolls back on error

3. Direct Session Usage

@with_session()
def example(session):
    # Direct SQLAlchemy queries
    users = session.query(User).limit(10).all()
    user = session.query(User).filter_by(id=1).first()
    user.name = "New Name"
    session.flush()  # Auto-commits with @with_session

4. Modular Logging and Monitoring

import logging
from sqlalchemy_engine_kit import LoggerAdapter, PrometheusMonitor

# Use your logger
LoggerAdapter.set_logger(logging.getLogger("myapp"))

# Use your monitoring
monitor = PrometheusMonitor()
manager.initialize(config, monitor=monitor)

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🏗️ Architecture

┌─────────────────────────────────────────────────┐
│           Your Application                       │
├─────────────────────────────────────────────────┤
│  Decorators (@with_session, @with_transaction)  │
├─────────────────────────────────────────────────┤
│  DatabaseManager (Singleton)                     │
├─────────────────────────────────────────────────┤
│  DatabaseEngine (Connection Pool, Sessions)     │
├─────────────────────────────────────────────────┤
│  SQLAlchemy ORM                                  │
├─────────────────────────────────────────────────┤
│  Database Driver (psycopg2, pymysql, etc.)      │
├─────────────────────────────────────────────────┤
│  Database (PostgreSQL, MySQL, SQLite)           │
└─────────────────────────────────────────────────┘

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🧪 Testing

# Run all tests
pytest tests/

# Run with coverage
pytest tests/ --cov=sqlalchemy_engine_kit --cov-report=html

# Run specific test file
pytest tests/integration/test_engine.py -v

# Run with different databases
DB_TYPE=postgresql pytest tests/

Test Results: 158 passed, 81 skipped

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📊 Production Readiness

✅ Ready for Production:

• 158 comprehensive tests passing
• Thread-safe architecture
• Modular logging (integrate with your system)
• Modular monitoring (Prometheus, Datadog, CloudWatch)
• Connection pooling with health checks
• Comprehensive error handling
• Migration support (Alembic)
• Deployment documentation
• Runbook for common issues

⚠️ Before Production (Checklist):

• Set up pinned dependencies (requirements.txt)
• Configure logging (see LOGGING_AND_MONITORING.md)
• Set up monitoring/alerting
• Test in staging environment
• Configure backup strategy
• Review security checklist in DEPLOYMENT.md

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🔒 Security

• ✅ Credentials never logged
• ✅ Connection strings sanitized in logs
• ✅ Support for environment variable configuration
• ✅ No SQL injection vulnerabilities (uses SQLAlchemy ORM)
• ⚠️ Use SSL/TLS for database connections in production
• ⚠️ Rotate credentials regularly
• ⚠️ Use secrets manager for production credentials

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🤝 Contributing

Contributions welcome! Please:

1. Read the code - it's well-documented
2. Add tests for new features
3. Follow existing patterns
4. Update documentation

# Development setup
git clone https://github.com/vidinsight/sqlalchemy-engine-kit.git
cd vidinsight-sqlalchemy-engine-kit
pip install -r requirements-dev.txt
pytest tests/

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📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

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🙏 Acknowledgments

• Built on top of SQLAlchemy
• Migration support via Alembic
• Inspired by production needs at VidInsight

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📮 Support

• Documentation: Check the docs in this repo
• Issues: Open an issue on GitHub
• Questions: Create a discussion on GitHub
• Security: Report security issues privately to [security@vidinsight.com]

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🗺️ Roadmap

v0.2.0 (Next Release)

• Async/await support (asyncio + asyncpg)
• Query caching layer
• More detailed metrics
• CLI tools for common operations

v1.0.0 (Stable Release)

• Published to PyPI
• Comprehensive examples repository
• Video tutorials
• API documentation (Sphinx)
• Benchmarking suite

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📈 Stats

• Lines of Code: ~5,000
• Test Coverage: ~85%
• Python Version: 3.9+
• SQLAlchemy Version: 2.0+
• Maintenance Status: Active

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Made with ❤️ by the VidInsight team