The ultimate async setup: FastAPI, SQLModel, Alembic, Pytest
FastAPI is a popular topic nowadays and I have decided to share my setup for an async web-server using this framework. Here is a short description of python packages used in the article (just to make a whole picture to save your time): Poetry (https://python-poetry.org) — is a tool for dependency management and packaging in Python. It allows you to declare the libraries your project depends on and
FastAPI with Async SQLAlchemy, SQLModel, and Alembic
FastAPI with Async SQLAlchemy, SQLModel, and Alembic This tutorial looks at how to work with SQLAlchemy asynchronously with SQLModel and FastAPI. We'll also configure Alembic for handling database migrations. This tutorial assumes you have experience working with FastAPI and Postgres using Docker. Need help getting up to speed with FastAPI, Postgres, and Docker? Start with the following resources:
SQLModel
SQLModel, SQL databases in Python, designed for simplicity, compatibility, and robustness. Documentation: https://sqlmodel.tiangolo.com Source Code: https://github.com/fastapi/sqlmodel SQLModel is a library for interacting with SQL databases from Python code, with Python objects. It is designed to be intuitive, easy to use, highly compatible, and robust. SQLModel is based on Python type annotation
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GitHub - jonra1993/fastapi-alembic-sqlmodel-async: This is a project template which uses FastAPI, Pydantic 2.0, Alembic and async SQLModel as ORM. It shows a complete async CRUD using authentication and role base access control.
