@quilted/graphql-tools
v0.2.11
Published
This library provides a collection of utilities type-safe usage of GraphQL in JavaScript applications. It includes a command line tool to [generate TypeScript definitions from GraphQL files](#typescript), utilities to [generate type-safe GraphQL fixtures]
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@quilted/graphql-tools
This library provides a collection of utilities type-safe usage of GraphQL in JavaScript applications. It includes a command line tool to generate TypeScript definitions from GraphQL files, utilities to generate type-safe GraphQL fixtures, and a group of bundling integrations for importing GraphQL files as minified documents.
Installation
$ yarn add @quilted/graphql-tools
Usage
Client
TODO
TypeScript
TODO
Fixtures
This library provides a collection of utilities for providing type-safe fixture data in response to GraphQL operations. This is most useful in tests, where you will often want to completely simulate the GraphQL results in the application, but can also be useful as a dev-time technique when you have parts of your GraphQL schema that have not been implemented in your API.
These values are exported from the @quilted/graphql/fixtures
entrypoint of this package.
createGraphQLController()
A GraphQLController
is an object that accepts a set of mocks, and can then be asked to return the correct value at a later time with the GraphQLController#run()
method.
A “mock” is an object that contains an operation
key, detailing the GraphQL operation this mock should be used for, and a result
, which is either a data object, or a function that receives the variables for a single invocation of the operation and returns a data object.
import {createGraphQLController} from '@quilted/graphql/fixtures';
// Here, we’re assuming you’ll use the plugin in @quilted/graphql/rollup to import the GraphQL
// document, but you can also provide the operation as a string, or as a GraphQL
// DocumentNode.
import myQuery from './MyQuery.graphql';
const controller = createGraphQLController({
operation: myQuery,
data: ({variables}) => ({mockQueryData: {count: variables.first}}),
});
Note: these mock objects can be produced with the
createFiller
utility documented below, which allows you to construct fixtures that will always match the shape of the GraphQL operation.
To retrieve a fixture result, call GraphQLController#run()
with the operation and, if necessary, variables for that invocation:
const controller = createGraphQLController({
operation: myQuery,
data: ({variables}) => ({mockQueryData: {count: variables.first}}),
});
// Returns a promise with {mockQueryData: {count: 10}}
const result = await controller.run(operation, {
variables: {first: 10},
});
GraphQLController#run()
is aliased as GraphQLController#fetch()
.
The GraphQL controller has a few other features that can be useful when mocking out a GraphQL API. The first is the ability to control the delay before returning a GraphQL result with GraphQLController#timing()
. This allows you to simulate slower network conditions, or to prevent GraphQL results from being returned automatically when run()
is called. This method accepts the operation and a delay
option to control how long a GraphQL result should be delayed (in milliseconds).
const controller = createGraphQLController({
operation: myQuery,
data: ({variables}) => ({mockQueryData: {count: variables.first}}),
});
controller.timing(myQuery, {delay: 100});
// Same as before, but now takes 100ms longer!
const result = await controller.run(myQuery, {
variables: {first: 10},
});
You can delay a result from being returned indefinitely by setting delay
to true
instead of a number. This can be useful when you want to have very specific control over when GraphQL operations are resolved, but requires that you manually resolve pending GraphQL operations with another method provided by the controller: GraphQLController#resolveAll()
. This method will resolve all pending GraphQL operations, regardless of their timing
delay. It also returns a promise that resolves after all of those GraphQL operations have finished.
const controller = createGraphQLController({
operation: myQuery,
data: ({variables}) => ({mockQueryData: {count: variables.first}}),
});
controller.timing(myQuery, {delay: true});
const resultPromise = controller.run(myQuery, {
variables: {first: 10},
});
await controller.resolveAll();
const result = await resultPromise;
This resolveAll()
method accepts an option argument that can restrict this resolution to only a single operation, using the operation
option. You can also pass untilEmpty: false
to this option, which disables the default behavior of continuing to resolve all pending GraphQL operations in a loop until none remain.
const controller = createGraphQLController({
operation: myQuery,
data: ({variables}) => ({mockQueryData: {count: variables.first}}),
});
controller.timing(myQuery, {delay: true});
const resultPromise = controller.run(myQuery, {
variables: {first: 10},
});
// Like the previous example, but this will not resolve any other operations
// that are pending, and will only resolve a pending `myQuery` operation that
// was pending when resolveAll() was called.
await controller.resolveAll({
operation: myQuery,
untilEmpty: false,
});
const result = await resultPromise;
createFiller()
The GraphQLController
object is useful, but providing mock objects can be tedious, especially for larger queries and mutations. The createFiller
utility can construct conforming mock objects that are guaranteed to match the types of your GraphQL query or mutation, preventing them from ever going out of data, and helping you avoid declaring unimportant fields just to satisfy the full shape of the GraphQL operation.
In order to do this job, createFiller
needs to know your GraphQL schema. This allows the utility to provide the correct types for each field it finds in your GraphQL operation. You can provide the GraphQL schema any way you like, but this library also provides a createSchema
function that accepts an array of string GraphQL SDL definitions and merges them into a schema with @graphql-tools/merge
:
import {createFiller, createSchema} from '@quilted/graphql/fixtures';
const schema = createSchema(`
type Query { name: String! }
schema { query: Query }
`);
const fillGraphQL = createFiller(schema);
The result of calling createFiller
is itself a function. This function accepts a GraphQL operation (either as a string, a DocumentNode
, or the shape produced by @quilted/graphql
) and returns an object that can be passed directly to createGraphQLController()
:
import {
createFiller,
createSchema,
createGraphQLController,
} from '@quilted/graphql/fixtures';
const schema = createSchema(`
type Query { name: String! }
schema { query: Query }
`);
const fillGraphQL = createFiller(schema);
const controller = createGraphQLController(fillGraphQL(`query Name { name }`));
If you provide just the GraphQL operation to fillGraphQL
, as we’ve done above, the mock function will produce results that are the correct shape, with all the right types, but set to entirely random value. In the case above, that means that fillGraphQL
will return, for each invocation, an object with a name
key set to a random string
(since the root name
field is a String!
GraphQL type). However, you can also pass a second argument. This argument can either be an object, or a function that receives variables
for a particular invocation, and returns an object. This object can be any partial subset of the expected query shape; any fields you do not provide will be filled in with suitable random values. This allows you to focus your fixtures on only the data you actually care about, and allow the computer to fill in the rest.
import nameQuery from './NameQuery.graphql';
const fillGraphQL = createFiller(schema);
const controller = createGraphQLController(
fillGraphQL(nameQuery, {name: 'Breonna'}),
);
This “partial filling” is the key feature of this utility. If you use the TypeScript type generation provided by this library, the partial fills you provide will be type-checked to ensure you only provide partials that make sense for your GraphQL operation. If you provide a function,
resolvers
createFiller
accepts an additional options object. The only option currently supported is resolvers
, which allows you to provide an object that controls the default values provided for fields when no explicit value is provided. This allows you to provide sensible random values for types like custom scalars so that they represent realistic values. These resolvers are called with GraphQL type
object for that type, the parent
type (for the object type on which this field is being filled), the field
name being filled, and a random
object, which is a Chance.js
object that is shared across all resolvers to ensure consistent mocks are returned for multiple invocations of the same operation.
const fillGraphQL = createFiller(schema, {
// This overrides the default `ID` mock to provide ids in a consistent shape,
// here using Shopify’s gid pattern.
ID: ({random, parent}) => `gid://shopify/${parent.name}/${random.integer()}`,
// Here, we’re providing a custom resolver for a custom scalar in our schema,
// `DateTime`. This ensures that mock values provided for this type will be
// valid dates, as the default would simply provide random strings.
DateTime: ({random}) => random.date().toISOString(),
});
Matchers
This library also provides a Jest matcher to assert on the operations performed against a GraphQLController
. To use this matcher, you’ll need to include @quilted/graphql/matchers
in your Jest setup file. The following matcher will then be available:
toHavePerformedGraphQLOperation(operation: GraphQLOperation, variables?: object)
This assertion verifies that at least one operation matching the one you passed was completed. If you pass variables, this assertion will also ensure that at least one operation had matching variables. You only need to provide a subset of all variables, and the assertion argument can use any of Jest’s asymmetric matchers.
import '@quilted/graphql/matchers';
import {createGraphQLController} from '@quilted/graphql/fixtures';
import myQuery from './MyQuery.graphql';
const graphql = createGraphQLController(...mocks);
// perform some operations...
expect(graphql).toHavePerformedGraphQLOperation(myQuery);
expect(graphql).toHavePerformedGraphQLOperation(myQuery, {
id: '123',
first: expect.any(Number),
});
Bundling
TODO
History
This package is basically an simplified amalgamation of a few of Shopify’s GraphQL libraries:
- The TypeScript type generation of
graphql-typescript-definitions
(through thequilt-graphql-typescript
executable) - The GraphQL operation “filler” from
graphql-fixtures
- The non-Apollo parts of
graphql-testing
However, these simplifications mean that this package has the following differences from the ones listed above:
- Its type generation relies on the latest
graphql-config
configuration file format - It only supports generating types for a
SimpleDocument
, not aDocumentNode
, and therefore does not work with Apollo - It generates a significantly different structure for nested types in a GraphQL operation that should make those types much easier to access and reason about
- The GraphQL controller, which is used to simulate GraphQL resolution in tests, automatically resolves GraphQL operations by default. This is unlike the
createGraphQLFactory
function fromgraphql-testing
, where operations needed to be manually resolved withgraphql.resolveAll()
. The mock GraphQL controller also does not support wrapping every GraphQL resolution; this is generally not needed when the GraphQL resolution can happen without additional user intervention, as existingact()
calls will typically already be wrapping the operations.