cog
DISCONTINUED
databases
Our great sponsors
cog | databases | |
---|---|---|
2 | 15 | |
1 | 3,679 | |
- | 1.1% | |
2.9 | 6.1 | |
over 3 years ago | 9 days ago | |
JavaScript | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
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cog
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Comprehensive Fast API Tutorial
Here's how (some complete asshole) might implement for example OIDC-JWT with Auth0: https://github.com/chromakey-io/cog/tree/master/auth. This sits as a starlette AuthBackend, that follows along with conventions similar to Flask, Django, etc .... and is directly ripped off from Auth0's flask examples.
databases
- Whats the standard way for interacting with a DB.
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Getting Started with Fast-Api ๐๏ธ and Docker๐ณ
In the code ,we are using SQLAlchemy as our ORM(Object Relational Mapper) and Databases as our query builder.
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A Deep Dive into Connecting FastAPI with SingleStore.
MySQL is a powerful and popular database, and it's well-suited for use with Python. In the following section, we are going through how to set up a connection to a MySQL database in an asynchronous manner using the create_asynchrouns_engine function from SQLAlchemy. We'll also use the databases package and the aiomysql extra dependency. We'll also adapt the SQLAlchemy declarative approach to defining our users' table.
- PostgREST v9.0.0
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python asyncio, how to prevent the other functions "block" themselves when connecting to db?
No, as I said, async db connection is the key. You can do that with SQLAlchemy using the databases library, but since you are not using SQLAlchemy it makes more sense to use the underlying db driver, aiomysql, directly.
- Database library
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FastAPI + Ormar + Alembic setup
ormar is a mini async ORM for python. It uses sqlalchemy for building queries, databases for asynchronous execution of queries, and pydantic for data validation. You can create an ormar model and generate pydantic models from it.
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Comprehensive Fast API Tutorial
databases has since the time of FastAPI's authorship been integrated in upstream starlette and documented: https://github.com/encode/databases ... what-ever is in fastapi skips all this and is weak sauce.
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Project structure for scalable fastapi project.
Prefer the data mapper approach for CRUD apps, but the flexibility of active record for all other apps. 1.Use psycopg2 for enterprise apps (since it's battle-tested) and https://github.com/encode/databases (with asyncpg) for toy apps.
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FastAPI framework, high perf, easy to learn, fast to code, ready for production
Thoughts on aiosql vs encode/databases[0]? Same creator as starlette (under the hood of FastAPI)
What are some alternatives?
aiomysql - aiomysql is a library for accessing a MySQL database from the asyncio
aiosql - Simple SQL in Python
asyncmy - A fast asyncio MySQL/MariaDB driver with replication protocol support
alembic - A database migrations tool for SQLAlchemy.
fastapi-users - Ready-to-use and customizable users management for FastAPI
full-stack-fastapi-template - Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.
mangum - AWS Lambda support for ASGI applications
SQLAlchemy - The Database Toolkit for Python
starlette - The little ASGI framework that shines. ๐
aiopg - aiopg is a library for accessing a PostgreSQL database from the asyncio
dispatch - All of the ad-hoc things you're doing to manage incidents today, done for you, and much more!
fastapi-crudrouter - A dynamic FastAPI router that automatically creates CRUD routes for your models