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by tinco 4151 days ago
Did we read the same article? The entire 'streaming section' is about pipes and I/O redirects. Running a command in the background is just forkIO $ proc ..etc.., as in regular Haskell.

Nothing tricky about it.

1 comments

The streaming section of the article has nothing about composing processes, that I could see; it appeared to be about treating the output of commands as input to Haskell lazy lists. I may have misread it, though.

Here's a pattern that comes up fairly frequently for me:

  foo | fgrep -v -f <(cut -f 2 info.csv) | bar
It uses the second column in info.csv as fixed strings to match inside lines in the output of foo, and filters them out, with the remaining lines going to bar.

All 4 processes (foo, bar, fgrep, cut) run concurrently. Likely fgrep will block on cut sooner or later, but the point is that multiple communicating concurrent processes are set up using a fairly easy to use DSL.

That's what a shell is, to me.

There are two ways you can embed that within `turtle`. You can either embed each step as its own concurrent process, like this:

    -- Note, the flow is right-to-left, not left-to-right
    inshell "bar" (inshell "fgrep ..." (inshell "foo" empty))
Or you can just embed the entire thing within a single `inshell` command:

    inshell "foo | fgrep ... | bar"
The reason this works is that the type of `inshell` is:

    inshell
        :: Text        -- Command line
        -> Shell Text  -- Standard input to feed
        -> Shell Text  -- Standard output from command
This leads you stream to any shell command's input and read the command's output also as a stream.