k8s-openapi
kin-openapi
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k8s-openapi | kin-openapi | |
---|---|---|
7 | 6 | |
360 | 2,383 | |
- | 3.9% | |
8.3 | 8.5 | |
12 days ago | 7 days ago | |
Rust | Go | |
Apache License 2.0 | 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.
k8s-openapi
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WinBtrfs – an open-source btrfs driver for Windows
It's called sans-io in Python land, which is where I heard it first.
https://sans-io.readthedocs.io/
I did it for one of my projects back in 2018 https://github.com/Arnavion/k8s-openapi/commit/9a4fbb718b119...
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The bane of my existence: Supporting both async and sync code in Rust
Another option is to implement your API in a sans-io form. Since k8s-openapi was mentioned (albeit for a different reason), I'll point out that its API gave you a request value that you could send using whatever sync or async HTTP client you want to use. It also gave you a corresponding function to parse the response, that you would call with the response bytes however you got them from your client.
https://github.com/Arnavion/k8s-openapi/blob/v0.19.0/README....
(Past tense because I removed all the API features from k8s-openapi after that release, for unrelated reasons.)
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Welcome to Comprehensive Rust
Macro expansion is slow, but only noticeably in the specific situation of a) third-party proc macros, b) a debug build, and c) a few thousand invocations of said proc macros. This is because debug builds compile proc macros in debug mode too, so while the macro itself compiles quickly (because it's a debug build), it ends up running slowly (because it's a debug build).
I know this from observing this on a mostly auto-generated crate that had a couple of thousand types with `#[derive(serde::)]` on each. [1]
This doesn't affect most users, because first-party macros like `#[derive(Debug)]` etc are not slow because they're part of rustc and are thus optimized regardless of the profile, and even with third-party macros it is unlikely that they have thousands of invocations. Even if it is* a problem, users can opt in to compiling just the proc macros in release mode. [2]
[1]: https://github.com/Arnavion/k8s-openapi/issues/4
[2]: https://github.com/rust-lang/cargo/issues/5622
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OpenAPI Generator allows generation of API client libraries from OpenAPI Specs
>OpenAPI Generator allows generation of API client libraries from OpenAPI Specs
It does, but the generated code can be very shitty for some combinations of spec and output language. I maintain Rust bindings for the Kubernetes API server's API, and I chose to write my own code generator instead. The README at https://github.com/Arnavion/k8s-openapi has more details.
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Any good toy Rust project for k8s application?
k8s_openapi - https://github.com/Arnavion/k8s-openapi
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Approaches for Chaining Access to Deeply Nested Optional Structs
For example: I have a routine that checks the value of (from k8s-openapi): Ingress -> IngressStatus -> LoadBalancerStatus -> Vec[0] -> String
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Writing a Kubernetes CRD Controller in Rust
As the maintainer of the Rust bindings that the library used in the article (kube) is backed by, I can confirm that Kubernetes' openapi spec requires a lot of Kubernetes-specific handling to generate a good client than generic openapi generators do not provide.
See https://github.com/Arnavion/k8s-openapi/blob/master/README.m... for a full description.
I also confirm that I keep it up-to-date with Kubernetes releases and have been doing so for the ~3 years that it's been around. Not just the minor ones every few months, but even the point ones; these days the latter usually only involves updating the test cases instead of code changes and they're done within a few hours of the upstream release.
kin-openapi
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Create Production-Ready SDKs With gRPC Gateway
We'll use the excellent kin-openapi Go library to convert the OpenAPI 2.0 schema to OpenAPI 3.0.
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OpenAPI Generator allows generation of API client libraries from OpenAPI Specs
What is your language?
I've found kin-openapi to be good for Go:
https://github.com/getkin/kin-openapi
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swaggo/swag alternative, but should generate OpenAPI 3.0 spec file
I recently used https://github.com/getkin/kin-openapi openapi2 and openapi2conv to convert the v2 yaml to v3 yaml.
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Any good OpenAPI 3.x spec generator for a Go REST API?
This might not be very helpful, but I've have found every "generate spec from code" package to be limited sooner or later, and that's across languages. I finally settled on writing the spec file by hand, linting it in CI using openapi-cli, and using kin-openapi in Go tests to ensure responses match their schema.
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What are your favorite packages to use?
oklog/ulid to generate IDs. coreos/go-oidc for validating JWTs I get from auth. google/go-cmp for comparing structs in tests (unless the project is already using Testify). spf13/pflag because life's too short for Go's flag handling. getkin/kin-openapi for validating reqests/responses against my OpenAPI spec (in tests).
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Do you use swagger to generate backends?
Then define the corresponding YAML/JSON specification (again manually) either using Swagger 2.0 (with go-swagger) or OpenAPI 3 (with kin-openapi), and
What are some alternatives?
kube - Rust Kubernetes client and controller runtime
GoSwagger - Swagger 2.0 implementation for go
fusionauth-openapi - FusionAuth OpenAPI client
chi - lightweight, idiomatic and composable router for building Go HTTP services
go - The Go programming language
oapi-codegen - Generate Go client and server boilerplate from OpenAPI 3 specifications
spectrum - OpenAPI Spec SDK and Converter for OpenAPI 3.0 and 2.0 Specs to Postman 2.0 Collections. Example RingCentral spec included.
Gin - Gin is a HTTP web framework written in Go (Golang). It features a Martini-like API with much better performance -- up to 40 times faster. If you need smashing performance, get yourself some Gin.
smithy - Smithy is a protocol-agnostic interface definition language and set of tools for generating clients, servers, and documentation for any programming language.
swagger2markup - A Swagger to AsciiDoc or Markdown converter to simplify the generation of an up-to-date RESTful API documentation by combining documentation that’s been hand-written with auto-generated API documentation.
tokio - A runtime for writing reliable asynchronous applications with Rust. Provides I/O, networking, scheduling, timers, ...
openapi-generator - OpenAPI Generator allows generation of API client libraries (SDK generation), server stubs, documentation and configuration automatically given an OpenAPI Spec (v2, v3)