groq-test-suite
cue
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groq-test-suite | cue | |
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1 | 108 | |
10 | 4,754 | |
- | 2.3% | |
5.0 | 9.7 | |
25 days ago | 2 days ago | |
JavaScript | Go | |
- | Apache License 2.0 |
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.
groq-test-suite
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The Norway Problem
TOML also has a few restrictions, such as not supporting mixed-type arrays like [1, "hello", true], or arrays at the root of the data. JSON can represent any TOML value (as far as I know), but TOML cannot represent any JSON value.
At my company we use YAML a lot for table-driven tests (e.g. [1]), and this not only means lots of nested arrays, but also having to represent pure data (i.e. the expected output of a test), which requires a format that supports encoding arbitrary data structures.
[1] https://github.com/sanity-io/groq-test-suite/
cue
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Show HN: Workout Tracker – self-hosted, single binary web application
Where `kube.cue` sets reasonable defaults (e.g. image is /). The "cluster" runs on a mini PC in my basement, and I have a small Digital Ocean VM with a static IP acting as an ingress (networking via Tailscale). Backups to cloud storage with restic, alerting/monitoring with Prometheus/Grafana, Caddy/Tailscale for local ingress.
[1] https://www.talos.dev/
[2] https://cuelang.org/
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Apple releases Pkl – onfiguration as code language
I've been somewhat surprised that CUE bills itself as "tooling friendly" and doesn't yet have a language server- the number one bit of tooling most devs use for a particular language.
I'm assuming it's becaus CUE is still unstable?
Anyway, if others are interested in CUE's LSP work, I think https://github.com/cue-lang/cue/issues/142 is the issue to subscribe to
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Why the fuck are we templating YAML? (2019)
This is where I usually pitch in with "Have your heard of CUELang, our lord and savior?": https://cuelang.org/
- Not turing complete
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10 Ways for Kubernetes Declarative Configuration Management
CUE: The core problem CUE solves is "type checking", which is mainly used in configuration constraint verification scenarios and simple cloud native configuration scenarios.
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Lua is a viable alternative for JSON
If you really want executable configurations please consider a newer language like https://dascript.org or https://cuelang.org which provide better type safety.
1- https://news.ycombinator.com/item?id=38030778
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Writerside – a new technical writing environment from JetBrains
Markdown and XML are nice, but what about more advanced documentation formats like OpenAPI? For one recent project, I set up automatic generation of the OpenAPI docs from (much more compact and flexible) CUE definitions (https://cuelang.org/) - which has the bonus of also being able to test the API against the definitions. JetBrains has a CUE plugin, but it's really barebones (doesn't even support jumping from the usage of a schema to its definition). Of course the possibilities when generating docs are endless (just think of the various syntaxes for doc comments, embedding examples/tests in source code etc.)...
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Show HN: Config-file-validator – CLI tool to validate all your config files
It doesn't include validators for TOML and INI, but if you're doing JSON and YAML, I would take a look at using or building upon CUE (https://cuelang.org/). It is a different take on schema definition (plus more), and is surprising terse and powerful model.
- That's a Lot of YAML
- An INI Critique of TOML
- What Is Wrong with TOML?
What are some alternatives?
yamllint - A linter for YAML files.
dhall-lang - Maintainable configuration files
lua-patterns - Exposing Lua string patterns to Rust
jsonnet - Jsonnet - The data templating language
tao-data-js - TAO data JavaScript module
terraform - Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.
starlark-rust - A Rust implementation of the Starlark language
Protobuf - Protocol Buffers - Google's data interchange format
jsonnet-libs - Grafana Labs' Jsonnet libraries
starlark-go - Starlark in Go: the Starlark configuration language, implemented in Go
yaml - YAML support for the Go language.
dagger - Application Delivery as Code that Runs Anywhere