LIBUCL
cue
LIBUCL | cue | |
---|---|---|
5 | 109 | |
1,595 | 4,766 | |
- | 1.4% | |
7.9 | 9.8 | |
18 days ago | 5 days ago | |
C | Go | |
BSD 2-clause "Simplified" License | Apache License 2.0 |
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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.
LIBUCL
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That's a Lot of YAML
Have you seen ucl? https://github.com/vstakhov/libucl
It seems very similar.
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Structured configuration in Go
Structured configuration is the type of configuration language I wanted for Djinn, whereby parameters could be grouped together into blocks, and nested within each other. Hence, the structure. The language I came up with was heavily influenced by HCL, and libucl and has support for duration and size literal values. Below is what the language looks like,
- Libucl: Universal configuration language parser library
- An Intuition for Lisp Syntax
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The YAML file of Prometheus Operator has over 13k lines, one of the longest YAML files on GitHub ever
Here you go: https://github.com/vstakhov/libucl
cue
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TypeSpec: A New Language for API-Centric Development
If you are in a situation where you have a backend and you want to expose an API and then you would eventually want a client, you would need format specs as the starting point where server and clients are generated from that one source.
At the moment, OpenAPI with YAML is the only way to go but you can't easily split the spec into separate files as you would do any program with packages, modules and what not.
There are third party tools[0] which are archived and the libraries they depend upon are up for adoption.
In that space, either you can use something like cue language 1] or something like TypeSpec which is purpose built for this so yet, this seems like a great tool although I have not tried it yet myself.
[0]. https://github.com/APIDevTools/swagger-cli
[1]. https://cuelang.org/
EDIT: formating
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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 are some alternatives?
yaml-cpp - A YAML parser and emitter in C++
dhall-lang - Maintainable configuration files
frozen - JSON parser and generator for C/C++ with scanf/printf like interface. Targeting embedded systems.
jsonnet - Jsonnet - The data templating language
YAJL - A fast streaming JSON parsing library in C.
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.
RapidJSON - A fast JSON parser/generator for C++ with both SAX/DOM style API
starlark-rust - A Rust implementation of the Starlark language
JsonCpp - A C++ library for interacting with JSON.
Protobuf - Protocol Buffers - Google's data interchange format
Boost.PropertyTree - Boost.org property_tree module
jsonnet-libs - Grafana Labs' Jsonnet libraries