Implement async SQLAlchemy 2.x data access patterns for FastAPI projects.
npx skills add https://github.com/lgzarturo/codeconductor --skill sqlalchemy-lgzarturo
Please help me install this Agent Skill. Skill: SQLAlchemy Source: https://github.com/lgzarturo/codeconductor/tree/main/.agents/skills/sqlalchemy Command: npx skills add https://github.com/lgzarturo/codeconductor --skill sqlalchemy-lgzarturo
This Skill helps developers implement robust async SQLAlchemy data access patterns for FastAPI projects, covering models, sessions, queries, migrations, and transactional workflows to ensure scalable and safe database interactions.
Define an async engine, an AsyncSession factory, and a sample model with Alembic migrations to start using SQLAlchemy 2.x in FastAPI.
High-intent search queries and answers about installing and using this skill.
To set up async SQLAlchemy sessions in FastAPI, define an async engine and an AsyncSession factory, ensuring proper expire_on_commit handling for safe database interactions.
The best way to structure SQLAlchemy 2.x models is using a declarative Base with a TimestampMixin, standardizing timestamps and defining relationships with proper lazy loading safeguards.
Avoid N+1 queries in async SQLAlchemy by applying proper eager loading strategies and respecting transaction boundaries to ensure scalable and safe database access patterns.
Yes, you can integrate Alembic-based migrations with async SQLAlchemy in FastAPI workflows to safely evolve your database schema alongside your declarative models.
Handle transactions in FastAPI async sessions by using safe commit and flush patterns designed for SQLAlchemy 2.x, preventing data inconsistencies within your transactional workflows.
Yes, SQLAlchemy 2.x async in FastAPI requires special handling for relationships to prevent lazy loading errors, necessitating explicit eager loading and careful session management.
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