Version 1 (modified by adamgundry, 21 months ago) (diff) |
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This is a plan to implement overloaded record fields, along the lines of SPJ's Simple Overloaded Record Fields proposal, as a Google Summer of Code project. (See the original GSoC proposal, for reference.) The page on Records gives the motivation and many options. In particular, the proposal for Declared Overloaded Record Fields is closely related but makes some different design decisions.

## Introduction

Motivating example:

{-# LANGUAGE OverloadedRecordFields #-} data Person = Person { personId :: Int, name :: String } data Address = Address { personId :: Int, address :: String } getPersonId :: r { personId :: Int } => r -> Int getPersonId x = x.>personId

If the flag `-XOverloadedRecordFields` is enabled, a new form of 'record field' constraints `r { x :: t } :: Constraint` are available where `r` and `t` are types, while `x` is a literal string. These are not typeclass constraints and do not have instances as such (though see the discussion below about virtual record fields). They can appear in contexts in the usual way (that is, they are a new primitive, like equality constraints or implicit parameter constraints). Multiple fields may be written comma-separated in a single constraint as in `r { x :: t, y :: u }`.

Record field constraints are introduced by projections, which are written using a new left-associative infix operator `(.>)`. That is, if `e :: r` then `e.>x :: r { x :: t } => t`. This operator must always be applied to (at least) its second argument, so `(.>)` is invalid but `(.>x) :: forall a b . a { x :: b } => a -> b`.

A constraint `R { x :: t }` is solved if `R` is a datatype that has a field `x` of type `t` in scope. (More precisely, if `R` contains `x :: s` then `t` must be an instance of `s`.) An error is generated if `R` has no field called `x`, it has the wrong type, or the field is not in scope. Otherwise, the new constraints are handled by the solver just like other types of constraint.

Optionally, we could add a flag `-XNoMonoRecordFields` to disable the generation of the usual monomorphic record field selector functions. This is not essential, but would free up the namespace for other record systems (e.g. **data-lens**). Note that `-XOverloadedRecordFields` will generate monomorphic selectors by default for backwards compatibility reasons, but they will not be usable if multiple selectors with the same name are in scope.

When either flag is enabled, the same field label may be declared repeatedly in a single module (or a label may be declared when a function of that name is already in scope).

If multiple constructors for a single datatype use the same field name, all occurrences must have exactly the same type, as at present.

### Representation hiding

Since the new constraints are **not** typeclass constraints, it is reasonable for the constraint solver to consult the fields in scope when deciding whether a solution is valid. This enables representation hiding: exporting the field selector is a proxy for permitting access to the field. For example, consider the following module:

module M ( R(x) ) where data R = R { x :: Int } data S = S { x :: Bool }

Any module that imports `M` will have access to the `x` field from `R` but not from `S`. Thus `R { x :: Int }` will be solved but `S { x :: Bool }` will not.

### Record update

Supporting polymorphic record update is rather more complex than polymorphic lookup. In particular:

- the type of the record may change as a result of the update;
- multiple fields must be updated simultaneously for an update to be type correct (so iterated single update is not enough); and
- records may include higher-rank components.

These problems have already been described in some detail. In the interests of doing something, even if imperfect, we plan to add a new syntax for monomorphic record update. This allows overloaded fields to be updated, though it requires the data constructor to be specified and cannot be abstracted over. For example,

R { e | x = t }

means the same as `e { x = t }` except that the type is determined from the data constructor `R`, rather than the field name `x`. Thus it can be used where the latter is ambiguous.

## Design choices

### The projection operator

As currently drafted, this proposal advocates using a new operator `.>` rather than changing the meaning of the dot operator, for reasons of backward compatibility and avoidance of a whole host of tricky parsing issues. This could change, if it is felt that the benefits of mimicking other languages outweigh the drawbacks of breaking backwards compatibility.

### Virtual record fields

The design presented above does not include virtual record fields, but it is easy to add them, by permitting typeclass-like instances:

instance ctx => r { x :: t } where get = blah :: r -> t

The constraint solver can be extended to consider such virtual fields. Note that if `r` is a datatype with a field `x`, the virtual field will overlap. The usual rules about overlap checking apply.

### Monomorphism restriction and defaulting

The monomorphism restriction may cause annoyance, since

foo = \ e -> e.>x

would naturally be assigned a polymorphic type. If there is only one `x` in scope, perhaps the constraint solver should pick that one (analogously to the other defaulting rules). However, this would mean that bringing a new `x` into scope (e.g. adding an import) could break code. Of course, it is already the case that bringing new identifiers into scope can create ambiguity!

## Implementation details

We add a new family of constraints

Has :: * -> Symbol -> * -> Constraint

where `r { x :: t }` is syntactic sugar for `Has r "x" t`, and `Symbol` is the kind of type-level strings. Evidence for `Has r l t` is just a projection function of type `r -> t`. Thus it is exactly the same as if `Has` were defined via a typeclass

class Has r (l :: Symbol) t where get :: r -> t

However, evidence is supplied by the constraint solver, taking into account the fields (or virtual field instances) that are in scope. These are not just typeclass constraints.

### Example of constraint solving

Consider the example

module M ( R(R, x), S(S, y), T(T, x) ) where data R = R { x :: Int } data S = S { x :: Bool, y :: Bool } data T = T { x :: forall a . a } module N where import M foo e = e.>x qux = (.>y) bar :: Bool bar = foo T baz = foo S

When checking `foo`, `e` is a variable of unknown type `alpha`, and the projection generates the constraint `alpha { x :: beta }` where `beta` is fresh.
This constraint cannot be solved immediately, so generalisation yields the type `a { x :: b } => a -> b`.

When checking `qux`, the projection has type `alpha -> beta` and generates the constraint `alpha { y :: beta }`. However, the monomorphism restriction prevents this constraint from being generalised. There is only one `y` field in scope, so defaulting specialises the type to `S -> Bool`. If the `x` field was used, it would instead give rise to an ambiguity error.

When checking `bar`, the application of `foo` gives rise to the constraint `T { x :: Bool }`, which is solved since `Bool` is an instance of `forall a . a` (the type `T` gives to `x`).

When checking `baz`, the constraint `S { x :: gamma }` is generated and rejected, since the `x` from `S` is not in scope.

### Remark

`Has` constraints are slightly more general than the syntactic sugar suggests: one could imagine building constraints of the form `Has r l t` where `l` is non-canonical, for example a variable or type family. It's hard to imagine uses for such constraints, though. One idea is giving virtual fields of all possible names to a type:

instance Has T l () where get _ = ()