awesome-jsonschema
strictyaml
awesome-jsonschema | strictyaml | |
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70 | 21 | |
101 | 1,411 | |
4.0% | - | |
5.3 | 1.9 | |
8 months ago | about 2 months ago | |
Handlebars | Python | |
Creative Commons Zero v1.0 Universal | MIT License |
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awesome-jsonschema
- YAML or JSON files that are typed?
- Parse, Don't Validate (2019)
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The Last Breaking Change | JSON Schema Blog
Truth. Zod is comparable to JSON Schema plus AJV, and it doesn't compare well at all. Your Zod code is all locked inside TypeScript so not only can it not be shared to any other language in your stack but it also cannot be serialized, which introduces many limitations. You also miss out on all the JSON Schema ecosystem tooling. (1, 2) For example the intellisense you get in VS Code for config files is powered by JSON Schema and schemastore.
The very first line of text below the header on the json-schema.org homepage is:
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How to use FastAPI for microservices in Python
The framework's official website mentions a number of pros of FastAPI. In my opinion, the most useful features from a microservice perspective are: the simplicity of code (easy to use and avoid boilerplate), high operational capacity thanks to Starlette and Pydantic and compatibility with industry standards - OpenAPI and JSON Schema.
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How to handle forms in a good way?
I've used Felte to reduce form boilerplate. Felte supports several different validation libraries like Zod. I actually used a custom validation function with ajv (which uses JSON schema).
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A Brief Defense of XML
(There is already a JSON Schema definition at https://json-schema.org/)
Like you said - standard XML isn't terrible. Adding on an XSD isn't terrible, because now you can enforce structure and datatypes on files provided by outside parties. Creating an XSLT is much more of a mental challenge, and probably should be left to tools to define.
Anything beyond those technologies is someone polishing up their resume.
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On the seventh day of Enhancing: Forms
While the aws-sdk is being installed to simulate DynamoDB locally, let me explain a few things about this command. First Comment will be the name of the model the scaffold creates. This model will be codified under app/models/schemas/comment.mjs as a JSON Schema object. Each of the parameters after Comment will be split into a property name and type (e.g. property name “subject”, property type “string”). This JSON Schema document will be used to validate the form data both on the client and server sides.
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Server Sent UI Schema Driven UIs
What you are looking is called Json-schema. Have a look at the implementations page, which will give you an idea of what you can do with json-schema, which also includes UI rendering.
- Tool to document Firestore 'schema'
strictyaml
- StrictYAML
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XML is better than YAML
NestedText already is the way I use YAML; everything is intepreted as a string. I have some trust in my YAML parser to not mangle most strings. I could use NestedText, but users would be unfamiliar with it, and IIRC the only parsers are in Python. But then I could use StrictYaml too https://github.com/crdoconnor/strictyaml
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The new type of SQL injection
you can stick to a subset of YAML syntax (e.g. strictYAML)
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DO YOU YAML?
YAML stands for "YAML Ain’t Markup Language" - this is known as a recursive acronym. YAML is often used for writing configuration files. It’s human readable, easy to understand and can be used with other programming languages. Although YAML is commonly used in many disciplines, it has received criticism on the amoutn of whitespace .yml files have, difficulty in editing, and complexity of the standard. Despite the criticism, properly using YAML ensures that you can reproduce the results of a project and makes sure that the virtual environment packages play nicely with system packages. (If you're looking for another way to share environments there are other alternatives to YAML which include StrictYAML (a type-safe YAML parser) and NestedText)
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The yaml document from hell
The example you linked provides this as an example of a YAML document that he wants his format to support.
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The YAML Document from Hell
That safe subset exists and is implemented in a number of languages. It is called strict-yaml: https://hitchdev.com/strictyaml/
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Hacker News top posts: Jul 3, 2022
StrictYAML\ (33 comments)
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Why JSON Isn’t a Good Configuration Language (2018)
To me those are in the category of "nice to have", and the problem is that every developer has different preferences for these [1] [2]. But the main features of StrictYaml, like supporting comments and less syntactic noise, I think are pretty uncontroversial, and perhaps it's worth it to get people to switch over for those alone. It doesn't need to be perfect, it just needs to be a significant enough improvement over JSON, and I'd say those two features are more than enough
[1]: https://github.com/crdoconnor/strictyaml/issues/37
[2]: https://github.com/crdoconnor/strictyaml/issues/38
What are some alternatives?
zod - TypeScript-first schema validation with static type inference
pyyaml - Canonical source repository for PyYAML
ajv - The fastest JSON schema Validator. Supports JSON Schema draft-04/06/07/2019-09/2020-12 and JSON Type Definition (RFC8927)
nestedtext - Human readable and writable data interchange format
JSON-Schema Faker - JSON-Schema + fake data generators
ytt - YAML templating tool that works on YAML structure instead of text
fastify-swagger - Swagger documentation generator for Fastify
crudini - A utility for manipulating ini files
pydantic - Data validation using Python type hints
yaml-rust - A pure rust YAML implementation.
Superstruct - A simple and composable way to validate data in JavaScript (and TypeScript).
starlark-go - Starlark in Go: the Starlark configuration language, implemented in Go