json-schema-to-typescript
go
json-schema-to-typescript | go | |
---|---|---|
7 | 2,075 | |
2,791 | 119,718 | |
- | 0.7% | |
7.2 | 10.0 | |
3 days ago | 7 days ago | |
TypeScript | Go | |
MIT License | BSD 3-clause "New" or "Revised" License |
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json-schema-to-typescript
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Gentle Introduction To Typescript Compiler API
Compile JSONSchema to TypeScript type declarations
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Show HN: A tool to Convert JSON schemas into TypeScript classes
Nice! Lots of tricky edge cases to do this right: there’s ambiguity in the JSON Schema spec, version-to-version changes, many popular community conventions that don’t adhere to the spec, etc. Feel free to check out the tests to understand some of these: https://github.com/bcherny/json-schema-to-typescript (shameless plug — I have maintained this library for a number of years).
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Why JSON Isn’t a Good Configuration Language (2018)
jsonnet is my go-to language for anything related to configuration, after having tried json, yaml, TS, edn, and tasting dhall and toml. It addresses all problems in the article and more.
the composition strikes a good balance between extensiveness and ease of use.
the generated json leads to easy and portable data, and if you write jsonschemas from jsonnet, tools like json-schema-to-typescript [1] make it easy to import a consistent interface, and almost every language has a reasonably up-to-date validation library.
[1] https://github.com/bcherny/json-schema-to-typescript
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Show HN: Remult – a CRUD framework for full-stack TypeScript
Take a look at https://github.com/bcherny/json-schema-to-typescript, too. I used it successfully at a previous job. IIRC, I had to write some code to convert OpenAPI to JSON Schema but it wasn’t onerous
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TRPC: End-to-end typesafe APIs made easy
If you're using OpenAPI, you could use this to generate TypeScript interfaces:
https://github.com/bcherny/json-schema-to-typescript
It works really well
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Running Out of Heap Memory While Converting JSON Schemas - Not Understanding Heap Memory/Async/Await/Promises
I'm messing around with a process to convert JSON schemas to TypeScript interfaces using json-schema-to-typescript. I have a little under 900 JSON files each containing a schema, totaling about 3.5 MB.
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I created a tool which automatically generates typescript definitions for API endpoints
json-schema-to-typescript
go
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Go: the future encoding/json/v2 module
A Discussion about including this package in Go as encoding/json/v2 has been started on the Go Github project on 2023-10-05. Please provide your feedback there.
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Evolving the Go Standard Library with math/rand/v2
I like the Principles section. Very measured and practical approach to releasing new stdlib packages. https://go.dev/blog/randv2#principles
The end of the post they mention that an encoding/json/v2 package is in the works: https://github.com/golang/go/discussions/63397
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Microsoft Maintains Go Fork for FIPS 140-2 Support
There used to be the GO FIPS branch :
https://github.com/golang/go/tree/dev.boringcrypto/misc/bori...
But it looks dead.
And it looks like https://github.com/golang-fips/go as well.
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Borgo is a statically typed language that compiles to Go
I'm not sure what exactly you mean by acknowledgement, but here are some counterexamples:
- A proposal for sum types by a Go team member: https://github.com/golang/go/issues/57644
- The community proposal with some comments from the Go team: https://github.com/golang/go/issues/19412
Here are some excerpts from the latest Go survey [1]:
- "The top responses in the closed-form were learning how to write Go effectively (15%) and the verbosity of error handling (13%)."
- "The most common response mentioned Go’s type system, and often asked specifically for enums, option types, or sum types in Go."
I think the problem is not the lack of will on the part of the Go team, but rather that these issues are not easy to fix in a way that fits the language and doesn't cause too many issues with backwards compatibility.
[1]: https://go.dev/blog/survey2024-h1-results
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AWS Serverless Diversity: Multi-Language Strategies for Optimal Solutions
Now, I’m not going to use C++ again; I left that chapter years ago, and it’s not going to happen. C++ isn’t memory safe and easy to use and would require extended time for developers to adapt. Rust is the new kid on the block, but I’ve heard mixed opinions about its developer experience, and there aren’t many libraries around it yet. LLRD is too new for my taste, but **Go** caught my attention.
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How to use Retrieval Augmented Generation (RAG) for Go applications
Generative AI development has been democratised, thanks to powerful Machine Learning models (specifically Large Language Models such as Claude, Meta's LLama 2, etc.) being exposed by managed platforms/services as API calls. This frees developers from the infrastructure concerns and lets them focus on the core business problems. This also means that developers are free to use the programming language best suited for their solution. Python has typically been the go-to language when it comes to AI/ML solutions, but there is more flexibility in this area. In this post you will see how to leverage the Go programming language to use Vector Databases and techniques such as Retrieval Augmented Generation (RAG) with langchaingo. If you are a Go developer who wants to how to build learn generative AI applications, you are in the right place!
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From Homemade HTTP Router to New ServeMux
net/http: add methods and path variables to ServeMux patterns Discussion about ServeMux enhancements
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Building a Playful File Locker with GoFr
Make sure you have Go installed https://go.dev/.
- Fastest way to get IPv4 address from string
- We now have crypto/rand back ends that ~never fail
What are some alternatives?
MikroORM - TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns. Supports MongoDB, MySQL, MariaDB, MS SQL Server, PostgreSQL and SQLite/libSQL databases.
v - Simple, fast, safe, compiled language for developing maintainable software. Compiles itself in <1s with zero library dependencies. Supports automatic C => V translation. https://vlang.io
trpc - 🧙♀️ Move Fast and Break Nothing. End-to-end typesafe APIs made easy.
TinyGo - Go compiler for small places. Microcontrollers, WebAssembly (WASM/WASI), and command-line tools. Based on LLVM.
json-schema-to-ts - Infer TS types from JSON schemas 📝
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
graphql-zeus - GraphQL client and GraphQL code generator with GraphQL autocomplete library generation ⚡⚡⚡ for browser,nodejs and react native ( apollo compatible )
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
nestjs-openapi3 - OpenAPI 3.x document generation and serving for NestJS.
Angular - Deliver web apps with confidence 🚀
nestjs-auth - Comprehensive handling of authentication and authorization for NestJS.
golang-developer-roadmap - Roadmap to becoming a Go developer in 2020