typed-graphql-builder
datamodel-code-generator
typed-graphql-builder | datamodel-code-generator | |
---|---|---|
5 | 9 | |
45 | 2,302 | |
- | - | |
5.0 | 9.4 | |
4 days ago | 6 days ago | |
TypeScript | Python | |
MIT License | 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.
typed-graphql-builder
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tRPC – Move Fast and Break Nothing. End-to-end typesafe APIs made easy
I'm honestly pretty happy with TypeGraphQL. TypeGraphQL works code-first and lets you integrate request-scoped DI for resolvers, which makes writing more complex resolves significantly more pleasant.
Admittedly for the front end I couldn't find a satisfactory tool so I built typed-graphql-builder (https://typed-graphql-builder.spion.dev/). You do have to run it if your backend schema changes, but not when your queries change as the queries are written in typescript and inferred on the fly. (I should probably write a watch mode for the cli, that should largely take care of the rest of the toil when quickly prototyping)
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Ask HN: Those making $0/month or less on side projects – Show and tell
Can we do projects that we think will stay at $0 but we still hope might gain traction?
OSS: typed-graphql-builder https://typed-graphql-builder.spion.dev/ is a TypeScript based graphql query builder.
It was inspired by tql (https://tql.dev/) but generates a much smaller client and has full, automatic type inference for query variables used in input objects.
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Ent: An Entity Framework for Go
FWIW I've given up the SQL query builder route and instead went with GraphQL query builder / Hasura route (https://typed-graphql-builder.spion.dev/).
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Recommendations for GraphQL and TypeScript?
Check this: https://github.com/typed-graphql-builder/typed-graphql-builder
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Unpopular opinoin GraphQL kinda sucks
Agreed. I'm working on a typed query builder for GraphQL and TS but secretly I'm a little mad that nobody gave some thought to making it easier to integrate in a type-safe way at least in the client languages
https://github.com/typed-graphql-builder/typed-graphql-build...
No docs yet, that's WIP
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?
wundergraph - WunderGraph is a Backend for Frontend Framework to optimize frontend, fullstack and backend developer workflows through API Composition.
sqlmodel - SQL databases in Python, designed for simplicity, compatibility, and robustness.
sq - sq is a type-safe data mapper and query builder for Go.
pydantic - Data validation using Python type hints
vlcn-orm - Develop with your data model anywhere. Query and load data reactively. Replicate between peers without a central server.
pydantic-factories - Simple and powerful mock data generation using pydantic or dataclasses
vellum-client-generator - Vellum’s Fern API which is used to generate SDKs.
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
fern-java - Generate Java models, clients, and server interfaces from your API definition.
odmantic - Sync and Async ODM (Object Document Mapper) for MongoDB based on python type hints
node-sql - SQL generation for node.js
cattrs - Composable custom class converters for attrs.