openapi-schema-validator
openapi-python-client
openapi-schema-validator | openapi-python-client | |
---|---|---|
2 | 7 | |
87 | 1,096 | |
- | 5.7% | |
8.3 | 9.0 | |
15 days ago | 7 days ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | MIT License |
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openapi-schema-validator
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Superpower REST API DX with Serverless ⚡ and DevOps Best Practices on AWS (🐍 Python Version)
openapi-schema-validator is useful to validate our response against a schema of our spec
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Validating RESTful-ness of Flask API
I did find https://github.com/p1c2u/openapi-spec-validator and https://github.com/p1c2u/openapi-schema-validator, but I'm pretty new to the devops world so I'm not sure if these are exactly what I'm looking for. Any recommendations or advice is appreciated.
openapi-python-client
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GraphQL is for Backend Engineers
On the backend, developers either need to manually document the entire API or rely on auto-generation tools that don’t fully meet their needs. Consumers face the same choice, write code by hand or workaround the bugs in their SDK generator (stated, lovingly, as the maintainer of an OpenAPI client generator). On top of this, these solutions result in inconsistent understandings of the API. Reproducing errors becomes time-consuming and frustrating, which feels like a battle instead of a collaboration. What we need is a shared language to describe how the API works—one that doesn’t add unnecessary layers of abstraction or manual work.
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Microsoft Kiota: CLI for generating an API client to call OpenAPI-described API
Has anyone tried Kiota, specifically the Python support? How does it compare to https://github.com/openapi-generators/openapi-python-client ?
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Python toolkits
I think we use these - https://github.com/openapi-generators/openapi-python-client
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YAML: It's Time to Move On
Thanks for the link, but not necessarily.
How WSDL and the code generation around it worked, was that you'd have a specification of the web API (much like OpenAPI attempts to do), which you could feed into any number of code generators, to get output code which has no coupling to the actual generator at runtime, whereas Pyotr is geared more towards validation and goes into the opposite direction: https://pyotr.readthedocs.io/en/latest/client/
The best analogy that i can think of is how you can also do schema first application development - you do your SQL migrations (ideally in an automated way as well) and then just run a command locally to generate all of the data access classes and/or models for your database tables within your application. That way, you save your time for 80% of the boring and repetitive stuff while minimizing the risks of human error and inconsistencies, while nothing preventing you from altering the generated code if you have specific needs (outside of needing to make it non overrideable, for example, a child class of a generated class). Of course, there's no reason why this can't be applied to server code either - write the spec first and generate stubs for endpoints that you'll just fill out.
Similarly there shouldn't be a need for a special client to generate stubs for OpenAPI, the closest that Python in particular has for now is this https://github.com/openapi-generators/openapi-python-client
However, for some reason, model driven development never really took off, outside of niche frameworks, like JHipster: https://www.jhipster.tech/
Furthermore, for whatever reason formal specs for REST APIs also never really got popular and aren't regarded as the standard, which to me seems silly: every bit of client code that you write will need a specific version to work against, which should be formalized.
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Replacing FastAPI with Rust: Part 2 - Research
Tallying up the results, we get 7/8 "MUST" requirements met. I think that Paperclip + actix-web seems like the most promising candidate. I'm really not opposed to writing the OpenAPI v3 construction myself as I've worked with the structure a fair bit in my openapi-python-client project (shameless plug).
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Replacing FastAPI with Rust: Part 1 - Intro
Automatic documentation via OpenAPI, which lets you do things like generate Python code that knows how to talk to your API.
What are some alternatives?
uvicorn-gunicorn-fastapi-docker - Docker image with Uvicorn managed by Gunicorn for high-performance FastAPI web applications in Python with performance auto-tuning.
sqlx - 🧰 The Rust SQL Toolkit. An async, pure Rust SQL crate featuring compile-time checked queries without a DSL. Supports PostgreSQL, MySQL, and SQLite.
full-stack-fastapi-template - Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.
starlark - Starlark Language
openapi-spec-validator - OpenAPI Spec Validator is a CLI, pre-commit hook and python package that validates OpenAPI Specs against the OpenAPI 2.0 (aka Swagger), OpenAPI 3.0 and OpenAPI 3.1 specification.
paperclip - WIP OpenAPI tooling for Rust. [Moved to: https://github.com/paperclip-rs/paperclip]
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
okapi - OpenAPI (AKA Swagger) document generation for Rust projects
warp - A super-easy, composable, web server framework for warp speeds.
yaml-reference-parser
JHipster - JHipster, much like Spring initializr, is a generator to create a boilerplate backend application, but also with an integrated front end implementation in React, Vue or Angular. In their own words, it "Is a development platform to quickly generate, develop, & deploy modern web applications & microservice architectures."