hadolint VS hoogle

To skip the "move your scripts to standalone files" step some devs don't like, consider something like https://github.com/hadolint/hadolint which runs Shellcheck over inline scripts within Containerfiles.

This is neat :)

I love going and making containers smaller and faster to build.

I don't know if it's useful for alpine, but adding a --mount=type=cache argument to the RUN command that `apk add`s might shave a few seconds off rebuilds. Probably not worth it, in your case, unless you're invalidating the cached layer often (adding or removing deps, intentionally building without layer caching to ensure you have the latest packages).

Hadolint is another tool worth checking out if you like spending time messing with Dockerfiles: https://github.com/hadolint/hadolint

With Depot, we make use of two Dockerfile linters, hadolint and a set of Dockerfile linter rules that Semgrep has written to make a bit of a smarter Dockerfile linter.

# Download hadolint wget https://github.com/hadolint/hadolint/releases/download/v2.12.0/hadolint-Linux-x86_64 # Download SHA256 checksum wget https://github.com/hadolint/hadolint/releases/download/v2.12.0/hadolint-Linux-x86_64.sha256 # Validate the checksum sha256sum -c hadolint-Linux-x86_64.sha256 # Make the file executable chmod + ./hadolint-Linux-x86_64 # Rename the file mv hadolint-Linux-x86_64 hadolint

The most common linter I've seen and used it Hadolint, which does: https://github.com/hadolint/hadolint/wiki/DL3002 I didn't bother checking to see if alternatives also support this as well though.

Some discussion on that here:

https://github.com/koalaman/shellcheck/issues/58

The hadolint project does shell checking for Dockerfiles and it uses shellcheck:

https://github.com/hadolint/hadolint

So the approach is definitely feasible, but you do need a new project and probably it needs to be written in Haskell.

how does this compare to something like hadolint?

Also, have you run across Hadolint for linting? https://github.com/hadolint/hadolint

Dimensions behave somewhat like a "type system" for math. These dimensional-analysis tricks act like the trick you see in Haskell sometimes, where you can easily guess an implementation of an expression once you know it's type (or e.g. search by type signature https://hoogle.haskell.org/ )

Haskell Spotlight makes vscode a client for hoogle. It isn't too different than jumping into your browser and type https://hoogle.haskell.org/. The main advantage is that you have everything in one place

https://hackage.haskell.org/package/base and https://hoogle.haskell.org are automatically up to date and better searchable than almost any other reference of any other programming language. maintaining a redundant reference that needs to be kept up to date manually is simply stupid.

Ideally like this: https://zio.dev/reference/#concurrency

Or this: https://hoogle.haskell.org/?hoogle=fork

And yeah I get it, it's hard to Google for punctuation operators in languages because it doesn't give useful search results (but not impossible, for example, Haskell has a search engine for documentation that handles symbols/punctuation).

{ "customLocalFormatters.formatters": [ { "command": "make format", "languages": ["haskell"] } ], "emeraldwalk.runonsave": { "commands": [ { "match": "*.hs", "isAsync": true, "cmd": "make retag retag_file=${file}" } ] }, "ghcid.command": "make ghcid", "goto-documentation.customDocs": { "hs": "https://hoogle.haskell.org/?hoogle=${query}" } }

You had a look at Hoogle?

https://hoogle.haskell.org/

For some type signatures there is (are) only one (or only a few) meaningful implementation(s).