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.