preserves/preserves-schema.md

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---
no_site_title: true
title: "Preserves Schema"
---
Tony Garnock-Jones <tonyg@leastfixedpoint.com>
December 2023. Version 0.3.5.
[abnf]: https://tools.ietf.org/html/rfc7405
[identifierlike]: #sufficiently-identifierlike-values
[valid identifier]: #identifiers-and-capitalization-conventions
This document proposes a Schema language for the
[Preserves data model](./preserves.html).
## Introduction
{% include what-is-preserves-schema.md %}
**Portability.** Preserves Schema is broadly portable. Any host-language
type system that can represent [algebraic
types](https://en.wikipedia.org/wiki/Algebraic_data_type) in some way
should be suitable as a compilation target.
This includes ML-family languages like [Rust][rust-impl] and Haskell,
object-oriented languages like Java, [Python][python-impl] and
[Smalltalk][smalltalk-impl], and multiparadigm languages like
[JavaScript][ts-impl], [TypeScript][ts-impl], [Racket][racket-impl],
[Nim][nim-impl] and Erlang.
[nim-impl]: https://git.syndicate-lang.org/ehmry/preserves-nim
[python-impl]: https://gitlab.com/preserves/preserves/-/blob/main/implementations/python/preserves/schema.py
[racket-impl]: https://gitlab.com/preserves/preserves/-/tree/main/implementations/racket/preserves/preserves-schema
[rust-impl]: https://gitlab.com/preserves/preserves-rs/-/tree/main/preserves-schema
[smalltalk-impl]: https://squeaksource.com/Preserves.html
[ts-impl]: https://gitlab.com/preserves/preserves/-/tree/main/implementations/javascript/packages/schema
**Example.** Sending the schema
version 1 .
Date = <date @year int @month int @day int>.
Person = <person @name string @birthday Date>.
to the TypeScript schema compiler produces types,
type Date = {"year": number, "month": number, "day": number};
type Person = {"name": string, "birthday": Date};
constructors,
function Date({year, month, day}: {year: number, month: number, day: number}): Date;
function Person({name, birthday}: {name: string, birthday: Date}): Person;
partial parsing functions which throw on parse failure,
function asDate(v: _val): Date;
function asPerson(v: _val): Person;
total parsing functions which yield `undefined` on parse failure,
function toDate(v: _val): undefined | Date;
function toPerson(v: _val): undefined | Person;
and total serialization functions,
function fromDate(_v: Date): _val;
function fromPerson(_v: Person): _val;
## Concepts
**Bundle.** A collection of schemas, each named by a module path.
**Definition.** A named pattern within a schema. When compiled, a
definition will usually produce a type (plus associated constructors
and predicates), a parser function, and a serializer function.
**Metaschema.** The Preserves metaschema is a schema describing the
abstract syntax of all schema instances (including itself).
**Module path.** A sequence of symbols, denoting a leaf in a tree with
symbol-labelled edges.
**Pattern.** A pattern describes a collection of `Value`s as well as
providing names for the portions of matching `Value`s that should be
captured in a host-language data type.
**Schema abstract syntax tree (AST).** Schema-manipulating tools will
usually work with schema AST; that is, with `Value`s conforming to the
metaschema or instances of the corresponding host-language
datastructures.
**Schema domain-specific language (DSL).** While human beings *can*
work directly with Preserves documents matching the metaschema, the
schema DSL provides an easier-to-read and -write language for working
with schemas that can be translated into instances
**Schema.** A collection of definitions, plus an optional schema-wide
reference to a schema describing embedded values.
## Identifiers and Capitalization Conventions
Throughout, `id` is used in the grammar to denote an *identifier*,
which is a symbol that matches the regular expression
`^[a-zA-Z][a-zA-Z_0-9]*$`. This is a lowest-common-denominator
constraint that allows for a reasonable mapping to the identifiers of
many programming languages.
Identifiers are case-sensitive. Schemas should be written with an
awareness of the fact that some programming languages cannot preserve
case differences. Avoid using two identifiers in the same context that
differ only in case.
Schemas should be written using the following capitalization
conventions:
- `UpperCamelCase` for *definition* names.
- Either `lowerCamelCase` or `UpperCamelCase` for definition-unique
names for alternatives within an alternation definition.
- `lowerCamelCase` for *module* names (schema names, package names)
and *field* or *variable* names.
## The Preserves Schema Language
In this section, we use an [ABNF][abnf]-like notation to define a
textual syntax that is easy for people to read and write. Most of the
examples in this document are written using this syntax. An appendix
defines the abstract syntax that this surface syntax translates into.
### Schema files and bundles.
Each schema should be placed in a single file. Schema files usually
end with extension `.prs`, and consist of a sequence of Preserves
`Value`s[^like-sexps] separated into *clauses* by the Preserves
`Symbol` "`.`".
[^like-sexps]: That is, schema files use Preserves as a kind of
S-expression!
A bundle of schema files is a directory tree containing `.prs` files.
### Clauses.
Clause = (Version / EmbeddedTypeName / Include / Definition) "."
Version = "version" "1"
EmbeddedTypeName = "embeddedType" ("#f" / Ref)
Include = "include" string
**Version specification.** Mandatory. Names the version of the schema
language used in the file. This version of the specification is
referred to in schema files as `version 1`.
**Embedded type name.** Optional. If given as `#f` (the default), it
declares that values parsed by the schema do not contain embedded
`Value`s of any particular type. If given as a `Ref`, a reference to a
definition in this or a neighbouring schema, it declares that embedded
`Value`s must themselves conform to the named definition.
**Include.** *Experimental.* Includes the contents of a neighbouring
file as if it were textually inserted in place of this clause. The
file path may be relative to the current file, or absolute.
### Definitions.
Definition = id "=" (OrPattern / AndPattern / Pattern)
Each definition clause connects a pattern over `Value`s with a
host-language type name (derived from the supplied `id`) and set of
associated functions.
A definition may be
- an *alternation* of patterns, allowing for biased choice among alternatives;
- an *intersection* of patterns, allowing for composition and reuse of patterns; or
- the base case, an ordinary pattern.
**Host-language types.** Each definition includes *bindings* that
capture information from a parsed `Value` and expose it to programs in
the host language. When more than one binding is present in a
definition, a host-language record (product, structure, tuple) will be
the result of a parse; otherwise, a simple value will result. When a
definition involves *alternation*, a host-language representation of a
sum over the types of each branch of the alternation will result. For
example, a compiler targeting an object-oriented host language would
produce a base class for each definition, with a field for each binding
and a subclass for each variant alternative. A functional host language
with algebraic data types would produce a labelled-sum-of-products type.
### Alternation definitions.
OrPattern = [orsep] AltPattern 1*(orsep AltPattern) [orsep]
orsep = 1*"/"
The right-hand-side of a definition may supply two or more *alternatives*.
Alternatives are separated by any number of slashes `/`, and leading or
trailing slashes are ignored. When parsing, the alternatives are tried in
order; the result of the first successful alternative is the result of the
entire parse.
**Host-language types.** The type corresponding to an `OrPattern` is an
algebraic sum type, a union type, a variant type, or a concrete subclass
of an abstract superclass, depending on the host language.
**Variant names.** Each alternative with an `OrPattern` must have a
definition-unique *name*. The name is used to uniquely label the
alternative's host-language representation (for example, a subclass, or
a member of a tagged union type).
A variant name can either be given explicitly as `@name` or
inferred.[^variant-names-unlike-binding-names] It can only be inferred
from the label of a record pattern, from the name of a reference to
another definition, or from the text of a "[sufficiently
identifierlike][identifierlike]" literal pattern - one that matches a
string, symbol or boolean:
AltPattern = "@" id Pattern
/ "<" id PatternSequence ">"
/ Ref
/ LiteralPattern -- with a side condition
[^variant-names-unlike-binding-names]: Note that explicitly-given
*variant* names are unlike *binding* names in that binding names give
rise to a field in the record type for a definition, while variant
names are used as labels for alternatives in a sum type for a
definition.
A host language will likely use the same ordering of variants in a sum
type as specified by the schema. It is therefore recommended to specify
first the alternative best suited as a default initialization value (if
there is any).
### Intersection definitions.
AndPattern = [andsep] NamedPattern 1*(andsep NamedPattern) [andsep]
andsep = 1*"&"
The right-hand-side of a definition may supply two or more patterns, the
*intersection* of whose denotations is the denotation of the overall
definition. The patterns are separated by any number of ampersands `&`,
and leading or trailing ampersands are ignored. When parsing, every
pattern is tried: if all succeed, the resulting information is combined
into a single type; otherwise, the overall parse fails.
When serializing, the terms resulting from serializing at each pattern
are *merged* together.
**Host-language types.** Compiling an intersection definition produces a
host-language type that is effectively the algebraic product of the
types of the parts of the intersection. Practically, this usually means
a record (product, structure, tuple) type.
{:.rationale}
> #### Experimental.
>
> Intersections are an experimental feature. They can be used to express
> *optional dictionary entries*:
>
> MyDict = {a: int, b: string} & @c MaybeC .
> MaybeC = @present {c: symbol} / @invalid {c: any} / @absent {} .
>
> They can also be used to express something reminiscent of *inheritance*:
>
> Type = @base BaseFields & @detail SubType .
> BaseFields = {a: int, b: string} .
> SubType = @base {}
> / @variantA { x: int }
> / @mid Mid .
> Mid = { y: symbol } & @detail SubSubType .
> SubSubType = @variantB { z: "type-b" }
> / @variantC { z: "type-c" }
>
> It is not yet clear whether they pull their weight.
>
> From the point of view of the user of the schema language, using
> intersections to express optional values is cumbersome. Not only is it
> verbose, requiring auxiliary definitions, but it leaves responsibility
> for checking for invalid inputs up to the user, rather than handling
> it completely at the Schema layer. A future Schema version will likely
> include first-class support for optionality.
### Patterns.
Pattern = SimplePattern / CompoundPattern
Patterns come in two kinds:
- The parsers for *simple patterns* yield a single host-language
value—for example, a string, an array, a number, or a pointer—or
even, in the case of `LiteralPattern`s, no host-language values at
all.[^no-values-at-all]
- The parsers for *compound patterns* yield zero or more *fields*
which combine into an overall record type associated with a
definition.
[^no-values-at-all]: The case of a `LiteralPattern` yielding no
host-language values is interesting. All the information required to
reversibly store the result of a parse is already in the schema, so
nothing need be stored at runtime in host-language data type
instances. Concretely, a definition consisting only of a
`LiteralPattern` might correspond to a host-language unit type (the
empty tuple, the "void" value). Definitions consisting of
`CompoundPattern`s involving `LiteralPattern`s do not even need to
store this much: fields of unit type in a host-language record type
can simply be omitted without loss.
#### Simple patterns
SimplePattern = AnyPattern
/ AtomKindPattern
/ EmbeddedPattern
/ LiteralPattern
/ SequenceOfPattern
/ SetOfPattern
/ DictOfPattern
/ Ref
The `any` pattern matches any input `Value`:
AnyPattern = "any"
Specifying the name of a kind of `Atom` matches that kind of atom:
AtomKindPattern = "bool" / "double" / "int" / "string" / "bytes" / "symbol"
Embedded input `Value`s are matched with embedded patterns. The
portion under the `#:` prefix is the *interface* schema for the
embedded value.[^interface-schema] The result of a match is an
instance of the schema-wide `embeddedType`, if one is supplied.
EmbeddedPattern = "#:" SimplePattern
A literal pattern may be expressed in any of three ways: non-symbol
atoms stand for themselves directly; symbols, prefixed with an equal
sign, are matched literally; and any `Value` at all may be quoted by
placing it in a `<<lit> ... >` record:
LiteralPattern = "="symbol / "<<lit>" value ">" / non-symbol-atom
Brackets containing an item pattern and a literal ellipsis match a
sequence of items, each matching the nested item pattern. Sets and
uniform dictionaries are similar.
SequenceOfPattern = "[" SimplePattern "..." "]"
SetOfPattern = "#{" SimplePattern "}"
DictOfPattern = "{" SimplePattern ":" SimplePattern "...:..." "}"
Finally, a reference to some other definition, in this schema or a
neighbouring schema within this bundle, is made by mentioning the
possibly-qualified name of the definition as a bare symbol:
Ref = symbol
Periods "`.`" in such symbols are special:
- `Name` refers to the definition named `Name` in the current schema.
- `Mod.Submod.Name` refers to definition `Name` in `Mod.Submod`, some other schema in the bundle.
Each period-separated portion of a reference name must be an `id`, an
identifier.
[^interface-schema]: Embedded patterns are experimental. One
interpretation is that an embedded value denotes a reference to
some stateful actor in a potentially-distributed system, and that
the interface schema associated with an embedded value describes
the messages that may be sent to that actor.
**Examples.** `#:any` may denote a reference to an Actor able to
receive any value as a message; `#:#t`, a reference to an Actor
expecting *only* the "true" message; `#:Session`, a reference to
an Actor expecting any message matching a schema defined as
`Session` in this file.
#### Compound patterns
CompoundPattern = RecordPattern
/ TuplePattern
/ VariableTuplePattern
/ DictionaryPattern
A record pattern matches an input record. It may be specified as a
record with a literal in the label position, or as a quoted `<<rec>
... >` record with a pattern for each of the label and field-sequence
positions:[^record-shorthand]
RecordPattern = "<<rec>" NamedPattern NamedPattern ">"
/ "<" value PatternSequence ">"
PatternSequence = *(NamedPattern) [NamedSimplePattern "..."]
[^record-shorthand]: Note that `<label `*ps*`>` can be thought of as
roughly equivalent to `<<rec> <<lit> label> [`*ps*`]>`. The
following two definitions are equivalent:
D1 = <foo @a string @b string @extra any ... >.
D2 = <<rec> <<lit> foo> [@a string @b string @extra any ...]>.
A tuple pattern matches a fixed-length sequence with specific patterns
in each position. A variable tuple pattern is the same, but with an
additional pattern for matching additional elements following the
fixed-position patterns.
TuplePattern = "[" *(NamedPattern) "]"
VariableTuplePattern = "[" *(NamedPattern) NamedSimplePattern "..." "]"
A dictionary pattern matches specific literal keys in an input
dictionary. If no explicit name is given for a particular
`NamedSimplePattern`, but the key for the pattern is "[sufficiently
identifierlike][identifierlike]" (a string, symbol or boolean), then a
symbol formed from that key is used as the name for that dictionary
entry.
DictionaryPattern = "{" *(value ":" NamedSimplePattern) "}"
### Identifiers and Bindings: NamedPattern and NamedSimplePattern
Compound patterns specifications contain `NamedPattern`s or
`NamedSimplePattern`s rather than ordinary `Pattern`s:
NamedPattern = "@" id SimplePattern / Pattern
NamedSimplePattern = "@" id SimplePattern / SimplePattern
Use of an `@name` prefix generally results in creation of a field with
the given name in the overall record type for a definition. The type
of value contained in the field will correspond to the `Pattern` or
`SimplePattern` given.
### "Sufficiently Identifierlike" Values
In some places in a schema, names can be inferred from some nearby
literal pattern element. In an `OrPattern`, variant names can be
inferred; in a `DictionaryPattern`, names for dictionary entries can be
inferred.
The rules are simple: if the literal pattern would match a specific
symbol or string, then that specific value is converted to a symbol and
used as the name. If the pattern would match `#t`, the name will be
`true`; if it would match `#f`, the name will be `false`.
For example, in the following grammar, the names for the variants of
`Example1` are the symbols `foo` and `bar` and `false`, and the names
for the two fields in `Example2` are `example` and `|testing strings|`.
Note that `|testing strings|` is a symbol whose name contains a space,
which will be rejected because it is not a [valid identifier][].
```preserves-schema
Example1 = =foo / "bar" / #f .
Example2 = { "testing strings": int, example: string } .
```
## Semantics
Having covered concrete syntax, we now give semantics for the schema
language in terms of the [abstract syntax][schema.prs] and of the
language of Preserves `Value`s.
[schema.prs]: https://gitlab.com/preserves/preserves/-/blob/main/schema/schema.prs
### Metaschema interpreter
(TODO: this subsection is to define an interpreter for metaschema values
applied to Preserves `Value`s.)
### Host-language types
The host-language types corresponding to a metaschema instance can
themselves be described according to a grammar.
The definitions in this section should be understood as being part of a
module named [`host`](schema/host.prs), in a bundle alongside a module named `schema`
corresponding to the metaschema in the appendix below.
#### Abstract host language types
Definition = <union @variants [Variant ...]> / Simple .
Variant = [@label symbol @type Simple] .
The host-language type corresponding to a definition will either be a
tagged union (side condition: at least two `Variant`s are present in a
`union`) or a *simple* type.
Simple = Field / Record .
Record = <rec @fields [NamedField ...]> .
NamedField = [@name symbol @type Field] .
A *simple* type may be either a single, simple value of *field* type, or
a record of multiple named fields, each having a specific *field* type.
Field = =unit
/ =any
/ =embedded
/ <array @element Field>
/ <set @element Field>
/ <map @key Field @value Field>
/ <ref @name schema.Ref>
/ schema.AtomKind .
A *field* type is either
- the language's unit type (the empty tuple, the "void" value),
- the universal type of all Preserves `Value`s,
- the type of some host-language [embedded value](./preserves.html#embeddeds) in some context,
- the type of a uniform array having elements of a specific *field* type,
- the type of a set having elements of a specific *field* type,
- the type of a dictionary connecting keys of specific type to values of specific type,
- the type associated with some other named definition in scope in the current Schema bundle, or
- the type of a specific kind of Preserves [`Atom`](./preserves#values).
#### Computing abstract types from a metaschema instance
Given a metaschema definition *d* : `schema.Definition`, the function
**typeof**{:.pseudocode} yields a `host.Definition`.
{:.pseudocode #def:typeof}
> **typeof** : `schema.Definition` ⟶ `host.Definition`
> **typeof** `<or [[`*n`1`* *p`1`*`]` ... `[`*n`n`* *p`n`*`]]>` = `<union [[`*n`1`* (**pat** *p`1`*)`]` ... `[`*n`n`* (**pat** *p`n`*)`]]>`
> **typeof** `<and [`*f`1` ... f`n`*`]>` = **product** `[`*f`1` ... f`n`*`]`
> **typeof** *p* = **pat** *p*, when *p* ∈ `schema.Pattern`
{:.pseudocode #def:pat}
> **pat** : `schema.Pattern` ⟶ `host.Simple`
> **pat** *s* = **field** *s*, when *s* ∈ `schema.SimplePattern`
> **pat** *c* = **product** `[`*c*`]`, when *c* ∈ `schema.CompoundPattern`
{:.pseudocode #def:field}
> **field** : `schema.SimplePattern` ⟶ `host.Field`
> **field** `any` = `any`
> **field** `<atom` *k*`>` = *k*
> **field** `<embedded` *s*`>` = `embedded`
> **field** `<lit` *v*`>` = `unit`
> **field** `<seqof` *s*`>` = `<array` (**field** s)`>`
> **field** `<setof` *s*`>` = `<set` (**field** s)`>`
> **field** `<dictof` *s`k`* *s`v`*`>` = `<map` (**field** *s`k`*) (**field** *s`v`*)`>`
> **field** *r* = *r*, when *r* ∈ `schema.Ref`
The helper function **product**{:.pseudocode} is where `unit`-valued
fields are omitted from the computed host-language type. If all fields
are so omitted, or if there were (recursively) no bindings in the input
patterns, **product**{:.pseudocode} yields `unit` type itself.
{:.pseudocode #def:product}
> **product** : `[schema.NamedPattern` ...`]` ⟶ `host.Simple`
> **product** `[`*f`1` ... f`n`*`]` = `unit`, if *t* = `[]`;
> `<rec` *t*`>`, otherwise
> where *t* = **gather** *f`1`* ⧺ ⋯ ⧺ **gather** *f`n`*
{:.pseudocode #def:gather}
> **gather** : `schema.NamedPattern` ⟶ `[host.NamedField ...]`
> **gather** `<named` *n* *p*`>` = `[]`, if (**field** *p*) = `unit`;
> `[[`*n* (**field** *p*)`]]`, otherwise
> **gather** `<rec` *f`label`* *f`fields`*`>` = **gather** *f`label`* ⧺ **gather** *f`fields`*
> **gather** `<tuple [`*f`1` .. f`n`*`]>` = **gather** *f`1`* ⧺ ⋯ ⧺ **gather** *f`n`*
> **gather** `<tuplePrefix [`*f`1` ... f`n`*`]` *f`repeated`*`>` = **gather** *f`1`* ⧺ ⋯ ⧺ **gather** *f`n`* ⧺ **gather** *f`repeated`*
> **gather** `<dict {`*v`1`*`:`*f`1` ... v`n`*`:`*f`n`*`}>` = **gather** *f`1`* ⧺ ⋯ ⧺ **gather** *f`n`*,
> where (*f`1` ⋯ f`n`*) are the *f`i`* sorted by [Preserves term order](./preserves.html#total-order) of the corresponding *v`i`*.
> **gather** *s* = `[]`, when *s* ∈ `schema.SimplePattern`.
## Appendix: Metaschema
The metaschema defines the structure of the abstract syntax (AST) of
schemas, using the concrete DSL syntax described above.
The text below is taken from
[`schema/schema.prs`][schema.prs]
in the source code repository.
A `Bundle` collects a number of `Schema`s, each named by a
`ModulePath`:[^todo-semantics-of-bundles]
Bundle = <bundle @modules Modules>.
Modules = { ModulePath: Schema ...:... }.
ModulePath = [symbol ...].
Schema = <schema {
version: Version
embeddedType: EmbeddedTypeName
definitions: Definitions
}>.
A `Version` names the version of the schema language in use. At
present, it must be `1`.
# version 1 .
Version = 1 .
An `EmbeddedTypeName` specifies the type of embedded values within
values parsed by a given schema:
EmbeddedTypeName = #f / Ref .
Ref = <ref @module ModulePath @name symbol>.
The `Definitions` are a named collection of definitions within a
schema. Note the special mention of `pattern0` and `pattern1`: these
ensure that each `or` or `and` record has at least two members.
Definitions = { symbol: Definition ...:... }.
Definition =
# Pattern / Pattern / ...
/ <or [@pattern0 NamedAlternative
@pattern1 NamedAlternative
@patternN NamedAlternative ...]>
# Pattern & Pattern & ...
/ <and [@pattern0 NamedPattern
@pattern1 NamedPattern
@patternN NamedPattern ...]>
# Pattern
/ Pattern
.
NamedAlternative = [@variantLabel string @pattern Pattern].
Each `Pattern` is either a simple or compound pattern:
Pattern = SimplePattern / CompoundPattern .
Simple patterns are as described above:
SimplePattern =
# any
/ =any
# special builtins: bool, double, int, string, bytes, symbol
/ <atom @atomKind AtomKind>
# matches an embedded value in the input: #:p
/ <embedded @interface SimplePattern>
# =symbol, <<lit> any>, or plain non-symbol atom
/ <lit @value any>
# [p ...] ----> <seqof <ref p>># see also tuplePrefix below.
/ <seqof @pattern SimplePattern>
# #{p} ----> <setof <ref p>>
/ <setof @pattern SimplePattern>
# {k: v, ...:...} ----> <dictof <ref k> <ref v>>
/ <dictof @key SimplePattern @value SimplePattern>
# symbol, symbol.symbol, symbol.symbol.symbol, ...
/ Ref
.
AtomKind = =Boolean
/ =Double
/ =SignedInteger
/ =String
/ =ByteString
/ =Symbol .
Compound patterns involve optionally-named subpatterns:
CompoundPattern =
# <label a b c> ----> <rec <lit label> <tuple [<ref a> <ref b> <ref c>]>>
# except for record labels
# <<rec> x y> ---> <rec <ref x> <ref y>>
/ <rec @label NamedPattern @fields NamedPattern>
# [a b c] ----> <tuple [<ref a> <ref b> <ref c>]>
/ <tuple @patterns [NamedPattern ...]>
# [a b c ...] ----> <tuplePrefix [<ref a> <ref b>] <seqof <ref c>>>
/ <tuplePrefix @fixed [NamedPattern ...] @variable NamedSimplePattern>
# {a: b, c: d} ----> <dict {a: <ref b>, c: <ref d>}>
/ <dict @entries DictionaryEntries>
.
DictionaryEntries = { any: NamedSimplePattern ...:... }.
Explicitly-named subpatterns are always `SimplePattern`s; but,
depending on context, if a name is omitted, the pattern may be a
`Pattern` or may be restricted to `SimplePattern` as well:
NamedSimplePattern = @named Binding / @anonymous SimplePattern .
NamedPattern = @named Binding / @anonymous Pattern .
Binding = <named @name symbol @pattern SimplePattern>.
[^todo-semantics-of-bundles]: The semantics of module path references
remain to be specified!
## Appendix: Metaschema instance
The following is a (lightly-reformatted) Preserves document which is
the output of DSL-to-AST compilation of the DSL source text of the
metaschema.
<schema {
version: 1,
embeddedType: #f,
definitions: {
Pattern: <or [
["SimplePattern", <ref [] SimplePattern>],
["CompoundPattern", <ref [] CompoundPattern>]
]>,
CompoundPattern: <or [
["rec", <rec <lit rec> <tuple [
<named label <ref [] NamedPattern>>,
<named fields <ref [] NamedPattern>>
]>>],
["tuple", <rec <lit tuple> <tuple [<named patterns <seqof <ref [] NamedPattern>>>]>>],
["tuplePrefix", <rec <lit tuplePrefix> <tuple [
<named fixed <seqof <ref [] NamedPattern>>>,
<named variable <ref [] NamedSimplePattern>>
]>>],
["dict", <rec <lit dict> <tuple [<named entries <ref [] DictionaryEntries>>]>>]
]>,
Modules: <dictof <ref [] ModulePath> <ref [] Schema>>,
Ref: <rec <lit ref> <tuple [
<named module <ref [] ModulePath>>,
<named name <atom Symbol>>
]>>,
Bundle: <rec <lit bundle> <tuple [<named modules <ref [] Modules>>]>>,
Binding: <rec <lit named> <tuple [
<named name <atom Symbol>>,
<named pattern <ref [] SimplePattern>>
]>>,
Definition: <or [
["or", <rec <lit or> <tuple [<tuplePrefix [
<named pattern0 <ref [] NamedAlternative>>,
<named pattern1 <ref [] NamedAlternative>>
] <named patternN <seqof <ref [] NamedAlternative>>>>]>>],
["and", <rec <lit and> <tuple [<tuplePrefix [
<named pattern0 <ref [] NamedPattern>>,
<named pattern1 <ref [] NamedPattern>>
] <named patternN <seqof <ref [] NamedPattern>>>>]>>],
["Pattern", <ref [] Pattern>]
]>,
NamedSimplePattern: <or [
["named", <ref [] Binding>],
["anonymous", <ref [] SimplePattern>]
]>,
EmbeddedTypeName: <or [
["false", <lit #f>],
["Ref", <ref [] Ref>]
]>,
ModulePath: <seqof <atom Symbol>>,
AtomKind: <or [
["Boolean", <lit Boolean>],
["Double", <lit Double>],
["SignedInteger", <lit SignedInteger>],
["String", <lit String>],
["ByteString", <lit ByteString>],
["Symbol", <lit Symbol>]
]>,
DictionaryEntries: <dictof any <ref [] NamedSimplePattern>>,
Version: <lit 1>,
NamedPattern: <or [
["named", <ref [] Binding>],
["anonymous", <ref [] Pattern>]
]>,
SimplePattern: <or [
["any", <lit any>],
["atom", <rec <lit atom> <tuple [<named atomKind <ref [] AtomKind>>]>>],
["embedded", <rec <lit embedded> <tuple [<named interface <ref [] SimplePattern>>]>>],
["lit", <rec <lit lit> <tuple [<named value any>]>>],
["seqof", <rec <lit seqof> <tuple [<named pattern <ref [] SimplePattern>>]>>],
["setof", <rec <lit setof> <tuple [<named pattern <ref [] SimplePattern>>]>>],
["dictof", <rec <lit dictof> <tuple [
<named key <ref [] SimplePattern>>,
<named value <ref [] SimplePattern>>
]>>],
["Ref", <ref [] Ref>]
]>,
NamedAlternative: <tuple [
<named variantLabel <atom String>>,
<named pattern <ref [] Pattern>>
]>,
Definitions: <dictof <atom Symbol> <ref [] Definition>>,
Schema: <rec <lit schema> <tuple [<dict {
version: <named version <ref [] Version>>,
embeddedType: <named embeddedType <ref [] EmbeddedTypeName>>,
definitions: <named definitions <ref [] Definitions>>
}>]>>
}
}>
## Appendix: Example generated types
The following are the (abridged) TypeScript and Racket generated type
definitions for the metaschema.
### TypeScript.
import * as _ from "@preserves/core";
// ...
export type _embedded = any;
export type _val = _.Value<_embedded>;
// ...
export type Bundle = {"modules": Modules};
export type Modules = _.KeyedDictionary<ModulePath, Schema, _embedded>;
export type Schema = {
"version": Version,
"embeddedType": EmbeddedTypeName,
"definitions": Definitions
};
export type Version = null;
export type EmbeddedTypeName = ({"_variant": "false"} | {"_variant": "Ref", "value": Ref});
export type Definitions = _.KeyedDictionary<symbol, Definition, _embedded>;
export type Definition = (
{
"_variant": "or",
"pattern0": NamedAlternative,
"pattern1": NamedAlternative,
"patternN": Array<NamedAlternative>
} |
{
"_variant": "and",
"pattern0": NamedPattern,
"pattern1": NamedPattern,
"patternN": Array<NamedPattern>
} |
{"_variant": "Pattern", "value": Pattern}
);
export type Pattern = (
{"_variant": "SimplePattern", "value": SimplePattern} |
{"_variant": "CompoundPattern", "value": CompoundPattern}
);
export type SimplePattern = (
{"_variant": "any"} |
{"_variant": "atom", "atomKind": AtomKind} |
{"_variant": "embedded", "interface": SimplePattern} |
{"_variant": "lit", "value": _val} |
{"_variant": "seqof", "pattern": SimplePattern} |
{"_variant": "setof", "pattern": SimplePattern} |
{"_variant": "dictof", "key": SimplePattern, "value": SimplePattern} |
{"_variant": "Ref", "value": Ref}
);
export type CompoundPattern = (
{"_variant": "rec", "label": NamedPattern, "fields": NamedPattern} |
{"_variant": "tuple", "patterns": Array<NamedPattern>} |
{
"_variant": "tuplePrefix",
"fixed": Array<NamedPattern>,
"variable": NamedSimplePattern
} |
{"_variant": "dict", "entries": DictionaryEntries}
);
export type DictionaryEntries = _.KeyedDictionary<_val, NamedSimplePattern, _embedded>;
export type AtomKind = (
{"_variant": "Boolean"} |
{"_variant": "Double"} |
{"_variant": "SignedInteger"} |
{"_variant": "String"} |
{"_variant": "ByteString"} |
{"_variant": "Symbol"}
);
export type NamedAlternative = {"variantLabel": string, "pattern": Pattern};
export type NamedSimplePattern = (
{"_variant": "named", "value": Binding} |
{"_variant": "anonymous", "value": SimplePattern}
);
export type NamedPattern = (
{"_variant": "named", "value": Binding} |
{"_variant": "anonymous", "value": Pattern}
);
export type Binding = {"name": symbol, "pattern": SimplePattern};
export type Ref = {"module": ModulePath, "name": symbol};
export type ModulePath = Array<symbol>;
### Racket.
(struct AtomKind-Symbol () #:prefab)
(struct AtomKind-ByteString () #:prefab)
(struct AtomKind-String () #:prefab)
(struct AtomKind-SignedInteger () #:prefab)
(struct AtomKind-Double () #:prefab)
(struct AtomKind-Boolean () #:prefab)
(struct Bundle (modules) #:prefab)
(struct CompoundPattern-dict (entries) #:prefab)
(struct CompoundPattern-tuplePrefix (fixed variable) #:prefab)
(struct CompoundPattern-tuple (patterns) #:prefab)
(struct CompoundPattern-rec (label fields) #:prefab)
(struct Definition-Pattern (value) #:prefab)
(struct Definition-and (pattern0 pattern1 patternN) #:prefab)
(struct Definition-or (pattern0 pattern1 patternN) #:prefab)
(struct EmbeddedTypeName-false () #:prefab)
(struct EmbeddedTypeName-Ref (value) #:prefab)
(struct NamedAlternative (variantLabel pattern) #:prefab)
(struct NamedPattern-anonymous (value) #:prefab)
(struct NamedPattern-named (value) #:prefab)
(struct NamedSimplePattern-anonymous (value) #:prefab)
(struct NamedSimplePattern-named (value) #:prefab)
(struct Binding (name pattern) #:prefab)
(struct Pattern-CompoundPattern (value) #:prefab)
(struct Pattern-SimplePattern (value) #:prefab)
(struct Ref (module name) #:prefab)
(struct Schema (definitions embeddedType version) #:prefab)
(struct SimplePattern-Ref (value) #:prefab)
(struct SimplePattern-dictof (key value) #:prefab)
(struct SimplePattern-setof (pattern) #:prefab)
(struct SimplePattern-seqof (pattern) #:prefab)
(struct SimplePattern-lit (value) #:prefab)
(struct SimplePattern-embedded (interface) #:prefab)
(struct SimplePattern-atom (atomKind) #:prefab)
(struct SimplePattern-any () #:prefab)
## Appendix: Future work
- There are side conditions on AST instances. It would be nice to
eventually be able to express these within the metaschema.
- It'd be interesting to,
[Ometa](https://en.wikipedia.org/wiki/OMeta)-like, be able to
specify the DSL-to-AST translation process as a schema. One
challenge in doing so is the way schemas are required to be
*reversible* at present.
- Should `include` accept URLs, to be able to retrieve schema from
the web?
- It'd be nice to firm up the interpretation of embedded interface
schemas. I have in mind something like the
[higher-order contracts of Dimoulas](https://www2.ccs.neu.edu/racket/pubs/dissertation-dimoulas.pdf).
Essentially, a schema *is* a contract, and embedded
pointers-to-behaviour are like closures/channels/objects/etc, which
demand higher-order contracts. Future work could pin this down
further; also, consideration of *dependent* schemas (analogous to
dependent contracts) could be of interest.
**Example.** In the following fragment, `#:Session` is the handle a
connected user uses to interact with a chatroom. In the
implementation, `Says` messages are dropped if their `who` doesn't
match the `uid` supplied in the `Join` assertion. It'd be nice to
capture that using a dependent schema, passing in the specific
`uid` value to the `Session` constructor, something like
`#:(Session uid)`.
Join = <joinedUser @uid UserId @handle #:Session>.
Session = @observeSpeech <Observe =says @observer #:Says> / Says .
Says = <says @who UserId @what string>.
<!-- Heading to visually offset the footnotes from the main document: -->
## Notes