arc> (= k-idfn ($:lambda (#:k v) v))
arc> (k-idfn '#:k "hello")
Error: "struct procedure:zz: expects 0 arguments plus an argument with keyword #:k, given 2: #:k "hello""
This function expects 0 positional arguments and a #:k keyword argument. However, we've passed it 2 positional arguments, one of which is #:k and one of which is "hello". We haven't passed it any keyword arguments at all, let alone one with the keyword #:k.
We pretty much have two ways to call this function successfully. First, we can write the function call itself as Racket code, taking advantage of Racket's function call syntax compiler to parse the keywords:
(Here I've used ($.list ...) as a way to construct ()-terminated instead of nil-terminated lists.)
Note that keyword-apply requires the keywords to be given in a specific order based on their UTF-8 bytes.
If we do a lot of this in the code, I'm thinking we could benefit from one of three things:
- An Arc function that takes an Arc table like (obj k (list "hello")) and calls Racket's 'keyword-apply it to the sorted keywords it expects.
- An Arc macro that looks like a function call, e.g. ($kw-call k-ifn #:k "hello"), but finds any occurrences of keywords and generates the appropriate Racket function call.
- A patch to Arc's own function call syntax so that it parses Racket-style keyword arguments.
I think these solutions would be more effective than shaving one or two heiroglyphics off of '#:k.
Not even Racket allows #:k as an expression by itself. It has to be written '#:k. After all, even if #:k evaluated to itself, (list #:k "hello") would not give you a list containing #:k and "hello", since it would try to pass a keyword argument instead.
You might wonder why Racket chose a design with such hoops to jump through. Well, I can't speak for them, but personally I'd give several shallow and hand-wavy reasons:
- It aligns with a certain mental model where positional args are an ordered list and keyword args are an orderless map. (This is the mental model I learned a long time ago in Groovy, so I like it.)
- It lets Racket treat (foo #:a 1 #:b #:c 3) as a compile-time error.
- It lets Racket treat missing/extra keyword args and missing/extra positional args as the same kind of error.
- It means keyword args don't have to be described in terms of positional args. It would be possible to design a lisp that only has Racket-style keyword args, with no positional args whatsoever.
- It means when a programmer wants to get a procedure's arity information dynamically, the result can include information about the keyword args it supports, rather than just the positional args it supports.
 Hmm, maybe there's a third way to call it successfully:
My original goal was not to shave characters off of '#:key. I apparently misunderstood how they were supposed to work, and thought that arc wasn't compatible with them. I ended up doing the cosmetic change as part of my process of figuring out how to hack it onto arc.
If what you're saying about '#:key vs #:key is true though, then my test cases were incorrect and I was trying to make something work that shouldn't have.
So, what's the right way to hack on arc to support calling racket functions with keyword args? Or would it be better to make a more arc-idiomatic mongo driver, and how?
Oops, I think you've been seeing something I wasn't seeing.
It turns out I'm getting much different results on a local setup than I was getting in tryarc.org. Since Arc 3.1 and Anarki use (require mzscheme), all sorts of things are replaced with doppelgangers that doesn't support keyword args, including the function application syntax #%app. In fact the lack of keyword arguments is one of the only things (require mzscheme) is good for. This is something tryarc.org changes, apparently.
"So, what's the right way to hack on arc to support calling racket functions with keyword args?"
I wouldn't say it's "the right way," but we could put the functionality of Racket's 'keyword-apply in a function that takes an Arc table, and then we'd pretty much never need to worry about keywords other than that.
I have an implementation for this, which I should be able to commit with some unit tests now that I know what's going on with MzScheme.
...Actually it might take me a few days to get around to that, so here's the code if anyone wants to use it right away:
(def $kw-apply (func kwargs . posargs)
; Convert the last element of posargs (the first-class list) into a
; Racket list. If posargs is completely empty, pretend the last
; element is an empty list just like Arc's 'apply already does.
(zap [rev:aif rev._
(cons (apply $.list car.it) cdr.it)
(let (ks vs)
(apply map list ; Transpose.
(sort (compare $.keyword<? !0)
(map [list ($.string->keyword:+ "" (or _.0 "nil")) _.1.0]
(apply $.keyword-apply func (apply $.list ks) (apply $.list vs)
I'm using a table of singleton lists so that we can pass the symbol 'nil as an argument value.
"Or would it be better to make a more arc-idiomatic mongo driver, and how?"
I actually have some opinion about "the best way" for this. :)
I think Arc-idiomatic approaches serve no particular purpose, since Arc is a tool for general-purpose computation. I would want a database driver to be idiomatic only for the database itself, so that it serves the more specific purpose of storing data. This can then be accompanied with sugary helper utilities, as long as they're optional.
It seems many ORMs want to bake the sugar into the interface, or they make sugar that has tiny escape hatches for poking at the underlying interface. If sugar is the only thing a programmer (usually) sees, I look at it as though it's a full-on database design of its own... which is rarely favorable since it usually inherits most of the complexity and obligations of the original.
 Well, while Arc is a general-purpose tool, it's specifically a language, so Arc-idiomatic approaches serve the particular purpose of making features more accessible to language users.
Do we actually need the mzscheme dependency? Any reason we couldn't switch to a full racket base?
Interesting. I'll have to play around with that. And study it a bit more to figure out how it works. If I understand your description correctly, the reason you're using lists is so that 'nil is interpreted as no value, while '(nil) is interpreted as intentionally passing the value 'nil? How does the function know the difference?
Interesting opinion. Unless I misunderstood you, I would have felt the opposite way. Normally, I would expect the purpose of the data interaction layer to be separating the implementation details from the code, so that if changes need to be made to what backend storage system you can just trade it out.
Maybe that is what you mean though, and that's supposed to be a distinction between the "driver" and an additional abstraction layer. Though your comment about ORMs including sugar confuses that a bit. I don't really want sugar per se, just abstraction away from how I'm actually storing the data, within reason anyway.
When I was using Arc heavily, I defined a utility (sobj ...) that was just like (obj ...) but it wrapped everything in a singleton list. That may have been the only extra utility I needed.
I could write (each (k (v)) tab ...) in place of (each (k v) tab ...). I could write tab!key.0 in place of tab!key. I could write (iflet (v) tab!key ...) in place of (iflet v tab!key ...).
It was surprisingly unintrusive, even pleasant.
"Normally, I would expect the purpose of the data interaction layer to be separating the implementation details from the code, so that if changes need to be made to what backend storage system you can just trade it out."
I like the sound of that, but I think it's always a bit leaky, unless the result is a full database design that lets people happily forget there's another database underneath.
It seems to, though much of that is the ODBC layer, which I'm not sure I like anyway. It generates some constructors and getters and setters that use keywords, and I don't think that fits particularly well with the arc style.
Unfortunately, some of the database options are also keyword based, but maybe wrappers could be made for the few cases that matter? Sadly, I am also a beginner with mongo, so I don't really know what I need or how to do it.