magic-modules
dhall-lang
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magic-modules | dhall-lang | |
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5 | 113 | |
743 | 4,124 | |
2.2% | 1.3% | |
9.9 | 6.0 | |
about 22 hours ago | 27 days ago | |
HTML | Dhall | |
Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
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magic-modules
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I think GCP is better than AWS – by Fernando Villalba
Given: https://registry.terraform.io/providers/hashicorp/google/5.3...
how would any reasonable person know what https://registry.terraform.io/providers/hashicorp/google/5.3... to enable without (a) trying it and squinting at the error message (b) clicking on the <> then realizing it, also, does not mention run.googleapis.com, click on "supported service endpoints" <https://cloud.google.com/run/docs/reference/rest#rest_endpoi...> and only then learning about https://cloud.google.com/run/docs/reference/rest#service:-ru...
Repeat for https://registry.terraform.io/providers/hashicorp/google/5.3... although in both cases I guess the astute reader may have spotted the run.googleapis.com in the forbidden service labels and cloudidentity.googleapis.com in the example
Since, to the best of my knowledge those bindings are auto generated <https://github.com/GoogleCloudPlatform/magic-modules#magic-m...>, I would hypothesize it is not insurmountable drop in the seemingly existing declaration of APIs required: https://github.com/GoogleCloudPlatform/magic-modules/blob/7d... https://github.com/GoogleCloudPlatform/magic-modules/blob/7d...
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Terraform Plugin Framework Development: How to implement nested attributes?
In the case of the Google Cloud Platform provider, folks at Google built magic modules with the explicit goal of being able to generate schemas and behaviors for a Terraform provider and for other systems with similar needs. Since the vendor was explicitly aiming to support Terraform, this was the most ideal case where the schema could be designed to contain all of the information needed to generate a functional, usable provider.
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Terraform 1.0 Release
For GCP, both ansible modules and terraform modules are actually generated from https://github.com/GoogleCloudPlatform/magic-modules, so their "production readiness" are the same.
I understand that mitchellh himself personally created a bunch of cloud modules for terraform at the beginning, and those were likely of higher quality than whatever created by some internal developers assigned by Google/Microsoft, and might be slightly better than the AWS modules maintained by community.
Anyway, when it comes to ansible versus terraform, we shall move the discourse to states management instead. With ansible, you don't have to deal with states, but will need to clean up the cloud resources separately. With terraform, you can use the tool to clean up the cloud resources easily, but then you also have the headache of managing states. Plus, whenever you change something, there is always the nagging feeling that it will do a destroy/recreate instead of an in-place update.
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Pulumi 3.0
The Terraform provider for Google Cloud uses partial autogeneration, here is the repo that does the autogeneration for multiple automation tools:
dhall-lang
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Apple releases Pkl – onfiguration as code language
Fail to see how this is any different than Dhall (https://dhall-lang.org/) other than it produces plists too.
Well, Dhall provides something between JSON and a Turing complete language that can make a lot of configuration much quicker to write, if you can hack the functional syntax.
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Pkl, a Programming Language for Configuration
Kubernetes config is a decent example. I had ChatGPT generate a representative silly example -- the content doesn't matter so much as the structure:
https://gist.github.com/cstrahan/528b00cd5c3a22e3d8f057bb1a7...
Now consider 100s (if not 1000s) of such files.
I haven't given Pkl an in depth look yet, but I can say that the Industry Standard™ of "simple YAML" + string substitution (with delicate, error prone indentation -- since YAML is indentation sensitive) is easily beat by any of:
- https://nixos.org/manual/nix/stable/language/index.html
- (insert many more here, probably including Pkl)
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Why the fuck are we templating YAML? (2019)
Indeed why? However the conclusion I have is not to use JSON but to use a type safe configuration language that can express my intent much better making illegal states impossible. One example of such lang is Dhall.
Throwing in a plug for https://dhall-lang.org/
> Dhall is a programmable configuration language that you can think of as: JSON + functions + types + imports
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Is Htmx Just Another JavaScript Framework?
There are underpowered languages / tools, that can only solve a problem for which they are intended poorly. But not all limited tools are like that.
Say, eBPF is prominently not Turing-complete, which allows to guarantee that a eBPF program terminates, and even how soon. Still eBPF is hugely useful in its area.
Or, say, regular expressions are limited to regular languages; in particular, they famously [1] cannot process recursive structures, like trees. Still tools like grep / ag / rg are mightily useful.
Yes, I agree that YAML is underpowered for proper k8s configuration! But it's also too powerful for its own good in other aspects [2]. I wish Google used Dhall [3] or their own purely functional config language (FCL? I already forgot the name) instead of YAML; sadly, they did not.
[1]: https://stackoverflow.com/a/1732454/223424
[2]: https://ruudvanasseldonk.com/2023/01/11/the-yaml-document-fr...
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10 Ways for Kubernetes Declarative Configuration Management
Dhall: Dhall is a programmable configuration language that combines features like JSON, functions, types, and import capabilities. Its style leans towards functional programming, so if you're familiar with functional-style languages such as Haskell, you might find Dhall to be quite intuitive.
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Berry is a ultra-lightweight dynamically typed embedded scripting language
I've been thinking along these lines but more 'strongly validated' than statically typed in the sense that you'd be better off being able to load the entire config and then produce a list of problems (and should be able to offer good editor support if done correctly).
Though https://dhall-lang.org/ demonstrates that you can statically type quite a lot of configuration to great advantage, which appears to be programmatically embeddable in multiple languages per https://docs.dhall-lang.org/howtos/How-to-integrate-Dhall.ht...
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What Is Wrong with TOML?
I agree, I quite like https://dhall-lang.org/ for that reason. It strikes a good balance between features and being a config language.
What are some alternatives?
cue - CUE has moved to https://github.com/cue-lang/cue
jsonnet - Jsonnet - The data templating language
cue - The home of the CUE language! Validate and define text-based and dynamic configuration
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.
jsonlogic - Go Lang implementation of JsonLogic
nix-gui - Use NixOS Without Coding
Pulumi - Pulumi - Infrastructure as Code in any programming language. Build infrastructure intuitively on any cloud using familiar languages 🚀
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
lua-patterns - Exposing Lua string patterns to Rust
wasp - The fastest way to develop full-stack web apps with React & Node.js.
jk - Configuration as Code with ECMAScript
edn - Extensible Data Notation