terraform-ls VS dhall-lang

Marcin here, one of the OpenTF folks

This repo [0] seems to still be licensed under MPL, so there is no need for an immediate action, but if there is a willingness in the community to take it over and improve, I see no reason why we wouldn't do it.

[0] https://github.com/hashicorp/terraform-ls

For example my other issue with simple click through URLs to resource documentation pages, this would be a simple solution if the resource documentation URL formatting was done to a standard with the resource names.

I have followed this guide: https://github.com/hashicorp/terraform-ls/blob/main/docs/USAGE.md

As /u/fridgedigga, neither LSP implements renaming. The LSP spec can be found here. I don't know how all of this is wired up. At a minimum, you'll need to add a mapping in service.go and handler. The bulk of work is performed in the handlers.

Look at terraform-ls vs terraform-lsp. Both can be used with coc.nvim.

For the LSP, I have never heard of Terraform before but it looks like they have a section on using it with vim/neovim. Not sure if this is already part of what you have tried, but I can't really help more since I have never used it.

This worked, thank you! I found all the cli options here for anyone that needs them.

https://github.com/hashicorp/terraform-ls

These are both fairly limited but you can see every editor (except intellij) uses this under the hood.

I've used them at companies with 300+ terraform repos and have never had much of an issue navigating/understanding TF through Vim.

So, what happens when you run the server from command line and then open your file in Kate? Any difference? Also, is there any command argument for logging and/or debugging the terraform-ls? It might help to find the issue, if any. I found this from the docs.

Fail to see how this is any different than Dhall (https://dhall-lang.org/) other than it produces plists too.

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://jsonnet.org/

- https://nickel-lang.org/

- https://nixos.org/manual/nix/stable/language/index.html

- https://dhall-lang.org/

- (insert many more here, probably including Pkl)

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...

[3]: https://dhall-lang.org/

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.

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...

> Where practical is in the sense of an engineer (or in their terms, a CS practitioner),

Configuration processing. E.g. I'd like my yamls to be decidable, though I'd settle for guaranteed to halt[1].

[1] https://dhall-lang.org/

Maybe you'd like jsonnet: https://jsonnet.org/

I find it particularly useful for configurations that often have repeated boilerplate, like ansible playbooks or deploying a bunch of "similar-but" services to kubernetes (with https://tanka.dev).

Dhall is also quite interesting, with some tradeoffs: https://dhall-lang.org/

A few years ago I did a small comparison by re-implementing one of my simpler ansible playbooks: https://github.com/retzkek/ansible-dhall-jsonnet

And to checkout Dhall: https://dhall-lang.org/