fastapi-alembic-migrations

To run Alembic migrations with async SQLAlchemy, you need an async-ready env.py that configures an async engine and sets target_metadata for autogenerate. This setup enables generating and applying migrations without blocking the FastAPI event loop.

Alembic revision fails with an async engine because the default env.py uses synchronous database connections. You must adapt env.py to use async engine configuration and proper model import hooks for autogenerate to function in asynchronous contexts.

Setting up initial Alembic migrations involves configuring Alembic for SQLAlchemy 2.0 async projects with a custom env.py template. This enables auto-detection of models and allows you to apply initial migrations using standard alembic commands without blocking.

Yes, Alembic supports auto-detection of models in asynchronous projects when configured with an async-ready env.py. It uses model import hooks and proper target_metadata to ensure automatic formatting and model discovery for autogenerate.

The best way to configure Alembic for SQLAlchemy 2.0 async projects is using an async-ready env.py template that establishes an async engine and proper target_metadata. This ensures compatibility with FastAPI and enables non-blocking migrations.

Yes, you can use standard alembic commands to apply migrations in an async FastAPI environment once env.py is adapted to use an async engine. This configuration allows generating and applying migrations without blocking the application.