lorairo-repository-pattern

Implement SQLAlchemy repository patterns with scoped_session for CRUD and transactions.

1|Updated May 3, 2024
One-click install
npx skills add https://github.com/NEXTAltair/LoRAIro --skill lorairo-repository-pattern
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lorairo-repository-pattern
Source: https://github.com/NEXTAltair/LoRAIro/tree/main/.claude/skills/lorairo-repository-pattern
Command: npx skills add https://github.com/NEXTAltair/LoRAIro --skill lorairo-repository-pattern

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires sqlalchemy.

What problem does it solve?

This Skill eliminates manual, error-prone database interactions, inconsistent transaction management, and complex ORM queries. It standardizes data access, making it robust, type-safe, and highly maintainable.

Core Features & Use Cases

  • Type-Safe Transactions: Ensures data integrity with automatic session management and reliable commit/rollback mechanisms.
  • ORM Best Practices: Guides on efficient querying, N+1 problem avoidance, and clear data access logic using SQLAlchemy.
  • Use Case: When building new features requiring database interaction, this Skill provides a ready-to-use, robust pattern, preventing common data access bugs and significantly speeding up development.

Quick Start

Example: Adding a new image record

from src.lorairo.database.schema import Image from src.lorairo.database.db_repository import ImageRepository from sqlalchemy.orm import sessionmaker, scoped_session from sqlalchemy import create_engine

Setup (simplified for quick start)

engine = create_engine("sqlite:///:memory:") Session = scoped_session(sessionmaker(bind=engine)) repo = ImageRepository(Session)

Add an image

new_image = Image(path="/new/image.jpg", phash="newhash") added_image = repo.add(new_image) print(f"Added image with ID: {added_image.id}")

Frequently Asked Questions about lorairo-repository-pattern

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I implement a repository pattern for database operations in Python?

A repository pattern abstracts data access logic into dedicated classes per entity, providing type-safe CRUD operations and consistent transaction management. This Skill delivers a SQLAlchemy-based repository pattern with scoped_session management, automatic commit/rollback, and testable interfaces for LoRAIro database operations.

How can I avoid N+1 query problems and ensure efficient ORM queries with SQLAlchemy?

Efficient ORM querying requires deliberate eager loading, query optimization, and consistent data access patterns. This Skill applies SQLAlchemy best practices through structured repositories that guide efficient querying, eliminate N+1 problems, and maintain clear separation between query logic and business logic.

What's the best way to manage database transactions and ensure data integrity in Python applications?

Type-safe transaction management requires automatic session handling and reliable commit/rollback mechanisms. This Skill standardizes transaction management using scoped_session, ensuring data integrity across CRUD operations, batch processing, and concurrent access with consistent error handling and logging.

Can I use the repository pattern with SQLAlchemy for testable database code?

Yes. The repository pattern isolates data access from business logic, making it testable and mockable. This Skill implements single-responsibility repositories per entity with clear naming conventions and consistent patterns, enabling straightforward unit testing and dependency injection.

How do I structure a data access layer for multiple database entities?

A scalable data access layer uses single-responsibility repositories per entity with standardized CRUD operations and transaction management. This Skill provides a reusable SQLAlchemy pattern applicable across entities, supporting type-safe queries, session management, and batch processing.