typescript library for processing core schemas
to install via npm:
npm install @apollo/core-schema
to build from source:
npm install
npm test
import { Schema, gql } from '@apollo/core-schema'
const schema = Schema.basic(gql`${"example.graphql"}
@link(url: "https://specs.apollo.dev/federation/v1.0")
@link(url: "https://specs.apollo.dev/inaccessible/v0.1")
type User @inaccessible {
id: ID!
}
`);
expect([...schema]).toMatchInlineSnapshot(`
Array [
<>[GraphQL request] 👉@link(url: "https://specs.apollo.dev/federation/v1.0"),
<#User>[GraphQL request] 👉type User @inaccessible {,
]
`);
expect([...schema.scope]).toMatchInlineSnapshot()
expect([...schema.refs]).toMatchInlineSnapshot(`
Array [
<>[example.graphql] 👉@link(url: "https://specs.apollo.dev/federation/v1.0"),
<https://specs.apollo.dev/link/v1.0#@>[example.graphql] 👉@link(url: "https://specs.apollo.dev/federation/v1.0"),
<https://specs.apollo.dev/link/v1.0#@>[example.graphql] 👉@link(url: "https://specs.apollo.dev/inaccessible/v0.1"),
<#User>[example.graphql] 👉type User @inaccessible {,
<https://specs.apollo.dev/inaccessible/v0.1#@>[example.graphql] type User 👉@inaccessible {,
<#ID>[example.graphql] id: 👉ID!,
]
`);
import {Schema, Defs, GRef, directives} from '@apollo/core-schema'
const schema = Schema.basic(gql `
extend schema
@link(url: "https://spec.example.io/hidden/v1.0", as: "private")
type Product
type Admin @private
type User
`)
const HIDDEN = GRef.rootDirective('https://spec.example.io/hidden/v1.0')
function *hiddenDefs(defs: Defs) {
for (const def of defs) {
for (const directive of directives(def)) {
if (directive.gref === HIDDEN) {
yield def
break
}
}
}
}
expect([...hiddenDefs(schema)].map(def => def.name))
.toEqual(['Admin'])
get a Schema
from a document with Schema.from
and then
look up document names via schema.scope
:
import {Schema, GRef, ref} from '@apollo/core-schema'
const doc = Schema.from(gql `
extend schema
@link(url: "https://specs.apollo.dev/link/v1.0")
@link(url: "https://example.com/someSpec/v1.0")
@link(url: "https://spec.example.io/another/v1.0", as: "renamed")
`)
expect(doc.scope.lookup('@link')).toBe(
GRef.rootDirective('https://specs.apollo.dev/link/v1.0')
)
expect(doc.scope.lookup('renamed__Type'))).toBe(
GRef.named('Type', "https://spec.example.io/another/v1.0")
)
it's often useful to interpret a document with a set of builtin links already in scope.
Scope.from
takes a second argument—the so-called frame
—to
enable this:
const SUBGRAPH_BUILTINS = Schema.from(gql `
extend schema
@link(url: "https://specs.apollo.dev/link/v1.0")
@link(url: "https://specs.apollo.dev/federation/v1.0",
import: "@key @requires @provides @external")
`)
function subgraph(document: DocumentNode) {
return Schema.from(document, SUBGRAPH_BUILTINS)
}
subgraph(gql `
# @key in the next line will be linked to:
#
# https://specs.apollo.dev/federation/v1.0#@key
type User @key(field: "id") {
id: ID!
}
`)
subgraph(gql `
# this will shadow the built-in link to @key:
extend schema @link(url: "https://specs.apollo.dev/federation/v2.0",
import: "@key")
# @key in the next line will be linked to:
#
# https://specs.apollo.dev/federation/v2.0#@key
type User @key(field: "id") {
id: ID!
}`)
function linksFed2(doc: Schema) {
for (const link of doc.scope) {
if (link.gref.graph.satisfies(LinkUrl.from("https://specs.apollo.dev/federation/v2.0"))) {
// child links federation 2.0
return true
}
}
return false
}
expect(
linksFed2(Schema.basicFrom(gql `
extend schema @link(url: "https://specs.apollo.dev/federation/v2.0")
`))
).toBe(true)
expect(
linksFed2(Schema.basicFrom(gql `
extend schema @link(url: "https://specs.apollo.dev/federation/v1.9")
`))
).toBe(false)
expect(
linksFed2(Schema.basicFrom(gql ``))
).toBe(false)
perhaps you want to scan directives in a document without having to worry about whether the user has renamed them.
the schema.standardize(...urls)
method can help:
const subgraph = Schema.basic(gql `
@link(url: "https://specs.apollo.dev/federation/v2.0",
# what weird naming choices!
import: """
@key (as @fkey)
@requires (as @frequires)
@provides (as @fprovides)
@tag (as @ftag)
""")
type User @fkey(fields: "id") {
id: ID! @ftag(name: "hi") @tag(name: "my tag")
}
# note: this is our *own* @tag directive, which looks
# just like but means something different than
# federation's @tag:
directive @tag(name: string) on FIELD_DEFINITION
`);
expect(
raw(
// standardize takes LinkUrls and ensures that all references to that schema
// are prefixed with its standard name
subgraph.standardize("https://specs.apollo.dev/federation/v2.0").print()
)
).toMatchInlineSnapshot(`
extend schema @link(url: "https://specs.apollo.dev/link/v1.0") @link(url: "https://specs.apollo.dev/id/v1.0") @link(url: "https://specs.apollo.dev/federation/v2.0")
type User @federation__key(fields: "id") {
id: ID! @federation__tag(name: "hi") @tag(name: "my tag")
}
directive @tag(name: string) on FIELD_DEFINITION
`);
this library exists to help you read and manipulate core schemas.
core schemas can reference elements from one another.
for example, this schema references federation 2.0 and uses the @key
directive from it:
extend schema
@link(url: "https://specs.apollo.dev/federation/v2.0")
type User @federation__key(fields: "id") {
id: ID!
}
here, we link the federation
spec by its url. this links the name federation
to the url https://specs.apollo.dev/federation/v2.0
, instructing core-aware processors that identifiers like federation__FieldSet
and @federation__key
are defined by https://specs.apollo.dev/federation/v2.0.
@link
inferred the name federation
(and also the version 2.0
) from the url. you can also set the name explicitly:
extend schema
@link(url: "https://specs.apollo.dev/federation/v2.0", as: fedv2)
type User @fedv2__key(fields: "id") {
id: ID!
}
these namespaced names can get annoying, so @link
also provides an import
argument, which links unprefixed names to remote definitions:
extend schema
@link(url: "https://specs.apollo.dev/federation/v2.0",
import: "@key")
type User @key(fields: "id") {
id: ID!
}
the lets us fix name conflicts. for example, say i have this schema:
type User @key(column: "id") {
id: ID!
}
directive @key(column: string) on OBJECT
now say i want to make this schema a federation subgraph. federation already defines a @key
directive; it will conflict with my own @key
directive, which is unrelated.
with @link
, i can give federation's @key
directive any name i want, avoiding the conflict:
extend schema
@link(url: "https://specs.apollo.dev/federation/v2.0",
import: "@fedKey: @key")
type User @fedKey(fields: "id") @key(column: "id") {
id: ID!
}
directive @key(column: string) on OBJECT
note that this also works for the @link
directive itself:
extend schema
@coreLink(url: "https://specs.apollo.dev/link/v1.0", as: coreLink)
@coreLink(url: "https://specs.apollo.dev/federation/v2.0",
import: "@fedKey: @key")
the examples above are not valid GraphQL schemas because they do not contain definitions of all the elements they name. specifically, they don't contain definitions of the federation directives, nor of @link
itself. if you feed them to a tool which expects a valid GraphQL schema, that tool will break.
it seems like we should be able to fix this. @link
strongly resembles an import
statement—its existence seems to imply some compilation process which can somehow look up the relevant definitions and insert them into the document.
this library provides such a mechanism. along the way, it provides a framework for working with global graph definitions—constructing schemas out of them, copying them from one document to another, and so on.
take this schema again:
extend schema
@link(url: "https://specs.apollo.dev/federation/v2.0",
import: "@fedKey: @key")
type User @fedKey(fields: "id") {
id: ID!
}
the compiler has to look at this schema and insert definitions for any elements which are referenced but not defined in the document. say we have an atlas with one schema in it:
extend schema
# @id is @link's sister, specifying this schema's
# position within the global graph
@id(url: "https://specs.apollo.dev/federation/v2.0")
directive @key(fields: FieldSet!) on OBJECT
scalar FieldSet
the compiler needs to copy the definition for @key
into the document. and then it also needs to copy the definition for FieldSet
, since @key
references FieldSet
. and when it inserts these definitions into the document, it needs to change their names to fit the namespace of the document. core schemas can transitively @link
other core schemas, so this may involve adding @link
s to other schemas as well.
this library exposes an editing model designed to make this tricky task—and others like it—much easier.
the basic approach is:
- read a schema and construct its scope by examining its
@link
directives. the scope manages the namespace—it is able to look at any definition or reference in the document and associate it with a global graph position (a url, essentially). the scope is completely unconcerned with whether a given element has a definition within the document—its only job is to associate names with urls. - when copying nodes out of a document, annotate those nodes and their descendants with their global graph positions. we call this process detachment or denormalization (because the metadata carried by the
@link
directives has been denormalized into the entire tree). - move definitions around as needed without worrying about namespaces
- before emitting a finished document, collect all its references, generate appropriate
@link
headers, and renormalize all its nodes, setting their names as appropriate.
the process of denormalizing and renormalizing nodes is mostly transparent.
you can construct a Schema
from a GraphQL document like so:
import {Schema, gql} from '@apollo/core-schema'
const schema = Schema.from(gql `
extend schema
@id(url: "https://my/schema")
@link(url: "https://specs.apollo.dev/link/v1.0")
@link(url: "https://specs.apollo.dev/federation", import: "@key")
@link(url: "https://myorg.internal/future")
type User @key(fields: "id") @future
`)
Schema
s are iterable, yielding each of the definitions in the document:
const defs = [...schema]
Schema
s always yield detached subtrees. definitions and references in a detached subtree have a .gref
property, which locates the node within the global graph:
import {GRef} from '@apollo/core-schema'
expect(defs[defs.length - 1].gref).toBe(
GRef.named('User', 'https://my/schema')
)
(an "gref" is an "href" for the "g"raph).
you can insert detached nodes into the document using whatever mechanism:
// helper to create a detached @tag directive
function $tag(name: string) {
return {
kind: Kind.DIRECTIVE,
name: "tag",
arguments: [{
name: { kind: Kind.NAME, value: "name" },
value: { kind: Kind.STRING, value: name }
}],
gref: GRef.rootDirective("https://specs.apollo.dev/tag/v0.1")
}
])
// replace @future with @tag(name: "future")
const newSchema = schema.mapDoc(schema =>
visit(schema.document, {
Directive(node) {
if (!hasRef(node)) return
if (node.gref === GRef.rootDirective("https://myorg.internal/future")) {
// replace @future with @tag(name: "future")
return $tag("future")
}
}
}))
finally, we can call compile
to renormalize everything and ensure the appropriate @link
headers are present:
return newSchema.compile()
schema.compile()
takes an optional argument, an atlas
from which it will try to fill any definitions which are referenced but not present in the document. atlas
can be any iterable over detached definitions. for example, it can be another Schema
:
const tagSchema = Schema.basic(gql`
@id(url: "https://specs.apollo.dev/tag/v0.1")
directive @tag(name: string) repeatable on OBJECT
`)
return newSchema.compile(tagSchema)
you can use the Atlas
class to join multiple schemas together into an atlas.
this library takes an AST-focused approach to working with schemas.
this is nice because the AST can represent many situations which cannot be represented with a GraphQLSchema
. for example, schemas which do not contain all their definitions (a principle motivation for this library!) cannot be represented in the GraphQL*
class structure. thus, we just don't try: this library never calls buildSchema
, nor do we touch execution-focused classes like GraphQLSchema
.
additionally, working with the AST gives us the ability to make small changes to the document without radically changing the structure. by default, operations implemented here try to make minimal changes to the document, preserving its structure as well as possible. alas, limitations in the graphql parser mean that we cannot currently preserve comments.
finally, AST nodes are given a source position by the parser and retain that position even across complex transforms. this helps with error reporting, and would also make it relatively easy to generate sourcemaps, though we do not currently do this.
essentially this whole library is implemented as pure functions on immutable data structures, starting with ASTNodes (which we treat as immutable). expensive operations are memoized.
a consequence of the pure/immutable/memoized design is that we generally do not compute anything until we need it. for example, Schema.from
does not even scan the document's @link
s and construct a scope until schema.scope
is actually used. similarly, nodes are not denormalized until they are accessed.
a few types—notably GRef
, LinkUrl
, and Version
—are canonized. that is, they can only be created via a memoized function, which ensures that two equivalent instances will always be the same instance:
expect(LinkUrl.from('https://specs/example/?extraneous&stuff&ignored'))
.toBe(LinkUrl.from('https://specs/example'))
these are effectively value types, and they can be (and are) used e.g. as keys in Map
s.