utoipa
datamodel-code-generator
utoipa | datamodel-code-generator | |
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15 | 9 | |
1,847 | 2,315 | |
- | - | |
8.1 | 9.4 | |
9 days ago | about 18 hours ago | |
Rust | Python | |
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.
utoipa
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What's everyone working on this week (23/2023)?
In case you didn't know https://github.com/juhaku/utoipa is really nice to generate openapi spec and have a swagger!
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OpenAPI v4 Proposal
play-swagger [2] for scala + play. They generate a significant portion of your spec for you, then a client can be generated from the spec.
[1] https://github.com/juhaku/utoipa
[2] https://github.com/iheartradio/play-swagger
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REST API in RUST with ntex
utoipa
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Announcing utoipa 3.0.0, one year anniversary release - Compile time OpenAPI library for Rust
Latest release notes: https://github.com/juhaku/utoipa/releases/tag/utoipa-3.0.0
- New Tokio blog post: Announcing axum 0.6.0
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Using Rust at a Startup: A Cautionary Tale
I've written a few backend APIs with rust and I have to disagree. Not only have the frameworks managed to get the ergonomics similar to your popular GC lang[0][1], the natural lack of shared mutable state of HTTP handlers means you very rarely have to encounter lifetimes and a lot of the language's advanced features. What's more, now when I go back to work with other languages, I can't help but notice the significant number of unit tests I'd not have had to write in Rust. It doesn't have a Rails and Django but it's an easy pick over anything at the language level.
A note on performance, Rust's the only langauge where I haven't had the need to update my unit test harnesses to `TRUNCATE` data base data instead of creating a separate db per test on PostgresSQL.
I'll also like to mention the gem that is SQLx[1]. As someone who's never been satisfied with ORMs, type checked SQL queries that auto-populate your custom types is revolutionary. With the error-prone langauge-SQL boundary covered, I was surprised just how good it can get making use of the builtin PostgreSQL features. Almost to the point that amount of effort the community's put to building great tools like Prisma.js and feel like a fool's errand (at least so for PosgreSQL).
[0]: https://github.com/alexpusch/rust-magic-function-params
[1]: https://github.com/juhaku/utoipa
[3]: lib.rs/crates/sqlx
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Book Review: Zero To Production In Rust
Going to strongly disagree here. This isn't necessary in most cases. You likely do not need to test actix-web. actix-web already has more tests than you can possibly think of for exercising its correctness. So why do you need to black-box test it? Further, if your concern is an API client integrating with the API, use code generation not tests to ensure correctness! Generate your clients from a spec generated from your types! I recommend Swagger/OpenAPI or JSON Schema. Here's a nice library for doing this: https://github.com/juhaku/utoipa
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Web frameworks with integrated Open API?
utoipa: supports most popular frameworks
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Announcing utoipa 2.0.0, long awaited release - Compile time OpenAPI + Swagger UI
Something like that is planned in future releases. There is a closed discussion in Github https://github.com/juhaku/utoipa/issues/201 and traits for this already exists but the derive implementaiton is yet to be done.
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okapi-operation - procedural macro for generating OpenAPI operation definitions
Those tags next function parameters look cool. Do you maybe know a crate Utoipa and could share differences between the two crates for those who want to quickly compare them? I've been using utoipa but also I've been following the discussion on Axum's repo about OpenAPI integration in hope for something more comfortable to write. Taking a quick peek they seem very similar but I'm guessing the approach is slightly different?
datamodel-code-generator
- Datamodel-code-generator: Pydantic model/dataclass from OpenAPI, JSON, YAML
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tRPC – Move Fast and Break Nothing. End-to-end typesafe APIs made easy
Like generating pydantic models or dataclasses for an OpenAPI schema? I haven't needed to go in that direction myself, but this[0] looks promising!
Apologies if I've misunderstood your comment
https://koxudaxi.github.io/datamodel-code-generator/
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OpenAPI v4 Proposal
I'm sorry, but you have completely misunderstood the purpose of Open API.
It is not a specification to define your business logic classes and objects -- either client or server side. Its goal is to define the interface of an API, and to provide a single source of truth that requests and responses can be validated against. It contains everything you need to know to make requests to an API; code generation is nice to have (and I use it myself, but mainly on the server side, for routing and validation), but not something required or expected from OpenAPI
For what it's worth, my personal preferred workflow to build an API is as follows:
1. Build the OpenAPI spec first. A smaller spec could easily be done by hand, but I prefer using a design tool like Stoplight [0]; it has the best Web-based OpenAPI (and JSON Schema) editor I have encountered, and integrates with git nearly flawlessly.
2. Use an automated tool to generate the API code implementation. Again, a static generation tool such as datamodel-code-generator [1] (which generates Pydantic models) would suffice, but for Python I prefer the dynamic request routing and validation provided by pyapi-server [2].
3. Finally, I use automated testing tools such as schemathesis [3] to test the implementation against the specification.
[0] https://stoplight.io/
[1] https://koxudaxi.github.io/datamodel-code-generator/
[2] https://pyapi-server.readthedocs.io
[3] https://schemathesis.readthedocs.io
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Create Pydantic datamodel from huge JSON file with local datamodel-code-generator
The site also provide a link to the github repo of the underlying program.
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PSA: I think this JSON to Pydantic converter is extremely useful for boilerplate model creation
Not sure who owns/hosts the site, but its based on this github repo.
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My top python library
That's what datamodel-code-generator propose.
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I use attrs instead of pydantic
had generally good experience creating typed wrappers for api's with json-schema-to-pydantic[0] converter
[0] https://github.com/koxudaxi/datamodel-code-generator
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What's the best libraries to build a REST API with Openapi compatibility
To save you some work, if you have already an OpenAPI specification at hand, you can use datamodel-code-generator to generate your Pydantic models from the spec.
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This is what I pushed today, I don't know why but I was very positive about the code until someone reviewed it and pointed out the obvious. Also 'internal_data' field is very essential for other parts of the code. It is so embarrassing I want to disappear from the face of the earth.
And there are code generators for it! https://github.com/koxudaxi/datamodel-code-generator/
What are some alternatives?
swagger-ui - Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.
sqlmodel - SQL databases in Python, designed for simplicity, compatibility, and robustness.
swagger-core - Examples and server integrations for generating the Swagger API Specification, which enables easy access to your REST API
pydantic - Data validation using Python type hints
axum - Ergonomic and modular web framework built with Tokio, Tower, and Hyper
pydantic-factories - Simple and powerful mock data generation using pydantic or dataclasses
socketioxide - A socket.io server implementation in Rust that integrates with the Tower ecosystem and the Tokio stack.
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
oaph - Helps to subtituate query params and schema definitions to openapi3/asyncapi yaml.
odmantic - Sync and Async ODM (Object Document Mapper) for MongoDB based on python type hints
oatx - Generator-less JSONSchema types straight from OpenAPI spec
cattrs - Composable custom class converters for attrs.