fastapi-crudrouter VS fastapi

FastAPI does have an equivalent. Something like this? https://github.com/awtkns/fastapi-crudrouter

I can't show any pics cuz of uk NDA and all that. I can tell you the gist of it though. FastAPI is already pretty good at the abstraction part. Our middleware had a lot of rerouting and it was basically just a bunch of redundant functions. I just used this cool ass package https://fastapi-crudrouter.awtkns.com/ and used the partial function from functools to generate endpoints for every scenario/db tables.

Thanks, that's a really helpful example.

Where I think this could be taken to the next level of reusability is in modularising the front-end into API-specific components. For example, the login behaviour could depend on FastAPI-Users, with a sibling frontend library containing components that implement the same login flow. Adding user behaviour is then a matter of using the same third-party library on the front and back end.

This approach could be extended to other components such as an admin panel (perhaps using https://github.com/awtkns/fastapi-crudrouter), or a blogging component.

The most sophisticated approach uses type hints and models to automatically generate documentation. FastAPI is the poster child here - it introspects your Pydantic models and function signatures to build comprehensive OpenAPI specs with minimal manual input.

Tools: ChatGPT (free), Claude, Django, FastAPI, Node.js ChatGPT is great for planning and scaffolding. Claude shines when working with multiple files or complex refactoring. Together, they can spin up routes, models, authentication, and even database setup in record time.

FastAPI used to have an emoji-ridden docs page for concurrency. Criticism was not handled well.

This made it clear to me that something about the project is off.

https://github.com/fastapi/fastapi/discussions/6656

Ready to dive deeper? You can read the FastAPI documentation here — it's some of the best technical documentation you'll ever read.

Make your crawler a web service that crawls pages by user request, using FastAPI and following this guide.

Doesn't it bother anybody that their product heavily relies on FastAPI according to this post yet they haven't donated to the project or aren't listed as sponsors?

https://github.com/sponsors/tiangolo#sponsors

https://github.com/fastapi/fastapi?tab=readme-ov-file#sponso...

Resources mentioned: FastAPI Documentation, Pydantic AI GitHub, WhatsApp Business API, OpenAI API Documentation

FastAPI is a high-performance framework enhancing Python development with type-hinting and asynchronous processing. FastAPI provides a high-performing, reliable solution developers seeking concurrency. An additional useful resource is the FastAPI documentation: https://fastapi.tiangolo.com/.

🔗 https://github.com/fastapi/fastapi

> Ideally I'd like to be able to write types in typescript, and write python types, then verify that the types are compatible (not identical)

Have a look at https://fastapi.tiangolo.com/

FastAPI allows you to define your types in Python using Pydantic for stronger type guarantees. FastAPI also generates an OpenAPI.json file for your backend and then you can feed this OpenAPI.json document into https://github.com/OpenAPITools/openapi-generator to generate a typescript library that contains all the types. Then you don't need to verify your types, because the typescript types will be directly generated from your Python types. The generated typescript library also contains methods for each of your REST endpoints, so that you don't have to think about network requests.