assert-combinators
fastapi
assert-combinators | fastapi | |
---|---|---|
5 | 469 | |
23 | 71,023 | |
- | - | |
5.7 | 9.8 | |
3 months ago | 8 days ago | |
TypeScript | Python | |
GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
assert-combinators
-
Kysely: TypeScript SQL Query Builder
We use in prod variant of no 1. [0]. Why? Because:
* it's extremely lightweight (built on pure, functional combinators)
* it allows us to use more complex patterns ie. convention where every json field ends with Json which is automatically parsed; which, unlike datatype alone, allows us to create composable query to fetch arbitrarily nested graphs and promoting single [$] key ie. to return list of emails as `string[]` not `{ email: string }[]` with `select email as [$] from Users` etc.
* has convenience combinators for things like constructing where clauses from monodb like queries
* all usual queries like CRUD, exists etc. and some more complex ie. insertIgnore, merge1n etc has convenient api
We resort to runtime type assertions [1] which works well for this and all other i/o; runtime type assertions are necessary for cases when your running service is incorrectly attached to old or future remote schema (there are other protections against it but still happens).
[0] https://github.com/appliedblockchain/tsql
[1] https://github.com/appliedblockchain/assert-combinators
-
GraphJin – An Instant GraphQL to SQL Compiler
We use not so much frameworks but combination of lightweight libraries:
- runtime assertions [0] - to map unknown values at i/o boundary into statically typed code (rpc input parameters, sql results etc)
- template based sql combinators to sanitize sql/generate sql [1]
- jsonrpc over websockets - for bidirectional comms between f/e and b/e
[0] https://github.com/appliedblockchain/assert-combinators
[1] https://github.com/appliedblockchain/tsql
- Parser Combinators in Haskell
-
An Inconsistent Truth: Next.js and Typesafety
Types can be asserted at runtime (parsed) at IO boundaries (reading http request or response, websocket message, parsing json file etc). Once they enter statically type system they don't need to be asserted again.
The difference it makes is illusion of type-safety vs type-safety this article touches on.
You can try to bind service with client somehow but in many cases this will fail in production as you can't guarantee paired versioning, due to normal situations by design of your architecture or temporary mid-deployment state or other team doing something they were not suppose to do etc. It's hard to avoid runtime parsing in general.
Functional combinators [0] or faster [1] with predicate/assert semantics work very well with typescript, which is very pleasant language to work with.
[0] https://github.com/appliedblockchain/assert-combinators
[1] https://github.com/preludejs/refute
-
Parsix: Parse Don't Validate
Once i/o boundaries are parsing unknown types into static types, your type safety is guaranteed.
[0] https://github.com/appliedblockchain/assert-combinators
fastapi
-
Github Sponsor Sebastián Ramírez Python programmer
He is probably most well know for creating FastAPI that I taught to some of my clients and Typer that I've never used.
-
Python: A SQLAlchemy Wrapper Component That Works With Both Flask and FastAPI Frameworks
It has been an interesting exercise developing this wrapper component. The fact that it seamlessly integrates with the FastAPI framework is just a bonus for me; I didn't plan for it since I hadn't learned FastAPI at the time. I hope you find this post useful. Thank you for reading, and stay safe as always.
-
FastAPI Best Practices: A Condensed Guide with Examples
FastAPI is a modern, high-performance web framework for building APIs with Python, based on standard Python type hints.
-
Building an Email Assistant Application with Burr
In this tutorial, I will demonstrate how to use Burr, an open source framework (disclosure: I helped create it), using simple OpenAI client calls to GPT4, and FastAPI to create a custom email assistant agent. We’ll describe the challenge one faces and then how you can solve for them. For the application frontend we provide a reference implementation but won’t dive into details for it.
-
FastAPI Got Me an OpenAPI Spec Really... Fast
That’s when I found FastAPI.
-
How to Deploy a Fast API Application to a Kubernetes Cluster using Podman and Minikube
FastAPI & Uvicorn
-
Analysing FastAPI Middleware Performance
Discussion at FastAPI GitHub: https://github.com/tiangolo/fastapi/issues/2696
-
LangChain, Python, and Heroku
An API application framework (such as FastAPI)
-
Litestar – powerful, flexible, and highly performant Python ASGI framework
It’s been my experience that async Python frameworks tend to turn IO bound problems into CPU bound problems with a high enough request rate, because due to their nature they act as unbounded queues.
This ends up made worse if you’re using sync routes.
If you’re constrained on a resource such as a database connection pool, your framework will continue to pull http requests off the wire that a sane client will cancel and retry due to timeouts because it takes too long to get a connection out of the pool. Since there isn’t a straightforward way to cancel the execution of a route handler in every Python http framework I’ve seen exhibit this problem, the problem quickly snowballs.
This is an issue with fastapi, too- https://github.com/tiangolo/fastapi/issues/5759
-
AI-Powered Image Search with CLIP, pgvector, and Fast API
Fast API.
What are some alternatives?
httpaf - A high performance, memory efficient, and scalable web server written in OCaml
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
pyparsing - Python library for creating PEG parsers
HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]
refute - Refute module.
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
angstrom - Parser combinators built for speed and memory efficiency
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
parser - String parser combinators
Flask - The Python micro framework for building web applications.
generator - Generator module.
swagger-ui - Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.